The mTERF modulates replication pausing in human mitochondrial DNA
哺乳动物雷帕霉素靶蛋白mTOR在小鼠卵母细胞成熟过程中的表达及作用
期,对照组和雷帕霉素处理组也有明显差异,对照 组 mTOR 伴随染色体表达,处理后 mTOR 没有伴 随染色体表达,且染色体形态异常;MⅡ期卵母细 胞中,对照组 mTOR 主要伴随纺锤体分布,染色 体规律地排列在赤道板上,而雷帕霉素处理组没有 检 测 到 mTOR 阳 性 信 号 , 且 染 色 体 排 列 不 规 则 (图 2).
鼠卵母细胞 GVBD 的发生和第一极体的排放都具有重要作用.
关键词 雷帕霉素靶蛋白(mTOR),小鼠卵母细胞,雷帕霉素,免疫荧光
学科分类号 Q2
DOI: 10.3724/SP.J.1206.2009.00446
雷帕霉素靶蛋白(mTOR)结构与功能上高度保 守,是一种存在于哺乳动物细胞中的 Ser/Thr 激 酶,属于磷脂酰肌醇激酶相关激酶 (phosphatidylinositol kinase-related kinase,PIKK)家 族成员.mTOR 信号通路可以汇聚和整合来自于营 养、生长因子、能量和环境胁迫对细胞的刺激信 号[1~3],通过其下游的靶蛋白核糖体蛋白 S6 激酶 1 (ribosomal protein S6 kinase 1,S6K1)和蛋白质翻译 起始因子 eIF4E 结合蛋白 1(eIF4E binding protein 1, 4EBP1)调控蛋白质的翻译,加快细胞 G1 期 /S 期 的转换,促进细胞生长和增殖,抑制细胞凋 亡[4~6].mTOR 信号通路紊乱与肿瘤的形成及细胞 的恶性转化密切相关[7].
mTOR 在卵母细胞成熟和早期胚胎发育中的研 究较少,且大多集中在海星、海胆等动物中[11, 12],
而在哺乳动物卵母细胞中的研究还未见报道.以往 的研究表明,mTOR 与一些蛋白质的合成有关 , [12] 而特定蛋白质的合成对卵母细胞成熟具有重要的作 用,因此我们推测,mTOR 可能在哺乳动物卵母细 胞成熟过程中有重要作用.所以本研究以小鼠卵母 细胞为研究对象,观察了 mTOR 在卵母细胞成熟 各个阶段的表达及分布情况,同时通过雷帕霉素的 处理观察 mTOR 对卵母细胞成熟的重要作用,为 进一步探索 mTOR 在小鼠卵母细胞成熟过程中的 分子机制提供实验依据.
非靶向代谢组学方法英语
非靶向代谢组学方法英语Non-targeted Metabolomics Methods in EnglishIntroductionNon-targeted metabolomics is an innovative approach in the field of metabolomics that aims to identify and quantify as many metabolites as possible in a given biological sample without any prior knowledge or bias towards specific metabolites. This method provides comprehensive insights into the global biochemical changes occurring in a biological system, such as a cell, tissue, or organism. In recent years, non-targeted metabolomics has gained immense popularity due to its ability to unravel intricate metabolic pathways and discover novel biomarkers for various diseases.Sample Collection and PreparationThe first step in non-targeted metabolomics is the collection and preparation of the biological sample. The choice of sample depends on the research question and can range from blood, urine, tissues, or even fecal samples. It is crucial to handle the samples with extreme care to avoid any degradation or contamination of metabolites. Sample preparation involves various techniques such as extraction, filtration, and derivatization, to enhance the stability and visibility of metabolites during subsequent analysis.Mass Spectrometry-Based AnalysisMass spectrometry (MS) is the key analytical technique used in non-targeted metabolomics. It detects and quantifies metabolites based on their mass-to-charge ratio (m/z) and abundance. Liquid chromatography-massspectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) are commonly used platforms for metabolite analysis. LC-MS is suitable for hydrophilic compounds, while GC-MS is preferred for volatile and thermally stable metabolites.Data Acquisition and PreprocessingOnce the samples are analyzed using MS, the raw data obtained needs to be processed and converted into a format suitable for downstream analysis. This step involves data acquisition, which includes peak picking, alignment, and normalization. Peak picking identifies and quantifies metabolite peaks in the acquired spectra, while alignment corrects any potential retention time variations. Normalization ensures that all samples are comparably represented, eliminating any technical biases.Statistical Analysis and IdentificationStatistical analysis is a crucial step in non-targeted metabolomics, as it helps in identifying significant metabolites and detecting patterns within the dataset. Multivariate statistical techniques, such as principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA), are commonly used to visualize and interpret the data. Additionally, metabolite identification is performed by matching the acquired mass spectra with metabolite databases, such as the Human Metabolome Database (HMDB) and the Kyoto Encyclopedia of Genes and Genomes (KEGG), using tools like MassBank, MetFrag, or Metlin.Metabolic Pathway AnalysisOne of the key strengths of non-targeted metabolomics is its ability to unravel complex metabolic pathways. Pathway analysis tools, such as MetaboAnalyst, MetaboMiner, and Ingenuity Pathway Analysis (IPA), are used to identify significantly altered pathways and discover potential biomarkers. These analyses provide crucial insights into the underlying biochemical mechanisms and aid in understanding the disease pathogenesis or physiological responses.Challenges and Future PerspectivesDespite its numerous advantages, non-targeted metabolomics faces several challenges. Metabolite identification remains a major bottleneck due to the limited coverage of metabolite databases and the lack of standardization in data reporting. Additionally, the high complexity and dynamic range of metabolomes make it difficult to detect low-abundance metabolites accurately. Nevertheless, advancements in analytical techniques, bioinformatics, and collaborative efforts are steadily overcoming these challenges and driving the field forward.In conclusion, non-targeted metabolomics plays a vital role in understanding the complex metabolic dynamics within biological systems. Through the use of advanced mass spectrometry techniques, data analysis tools, and metabolite identification strategies, this approach has the potential to uncover novel biomarkers and therapeutic targets for various diseases. With continued advancements, non-targeted metabolomics is poised to revolutionize personalized medicine and contribute significantly to the field of biomedical research.。
应用组织芯片技术检测mTOR和VEGF在结肠癌中的表达_0
应用组织芯片技术检测mTOR和VEGF在结肠癌中的表达目的:探讨雷帕霉素靶蛋白(mTOR)与血管内皮生长因子(VEGF)在临床结肠癌患者中的表达,并针对两者与结肠癌病理参数之间存在的关联性。
方法:选取72例结肠癌标本的组织芯片,采用免疫组化对mTOR以及VEGF进行检测,经过结果分析两者在结肠癌状态下与正常结肠组织中的表达,同时根据结果对mTOR、VEGF与结肠癌临床参数之间存在的关联性进行统计分析。
结果:mTOR 在结肠癌中的总表达率为42.5%,在正常结肠黏膜组织中的表达率为21.3%;VEGF在结肠癌中的总表达率为60.2%,在正常结肠黏膜组织中的表达率为40.4%,mTOR与VEGF在结肠癌当中的表达率明显高于在正常结肠黏膜组织中的表达率,比较差异具有统计学意义(P<0.05)。
mTOR表达率与性别、年龄等患者基本资料之间无明显的相关性,但mTOR与VEGF在淋巴结转移情况、肿瘤浸润深度等情况呈明显的正相关性,mTOR与VEGF之间也存在明显的正相关性。
结论:mTOR与VEGF可作为结肠癌发展中的重要指标进行观察,同时mTOR与VEGF也可以作为结肠癌的靶点应用于临床当中。
标签:雷帕霉素靶蛋白;血管内皮生长因子;结肠癌;组织芯片;免疫组化Abstract:objective:to investigate the rapamycin target protein(mTOR)and vascular endothelial growth factor(VEGF)expression in clinical patients with colon cancer,and for the correlation between pathological parameters with colon cancer.Methods:choose 72 cases of colon cancer specimens of tissue microarray,of the mTOR and VEGF by immunohistochemical detection,through the analysis of both in the condition of colon cancer and normal colon tissue expression,at the same time,according to the results of mTOR,correlation between VEGF and colon cancer clinical parameters were analyzed.Results:the total expression of mTOR in colon cancer at a rate of 42.5%,in the normal colonic mucosa tissue expression rate is 21.3%;Total expression of VEGF in colon cancer at a rate of 60.2%,in the normal colonic mucosa tissue expression rate is 40.4%,mTOR and the expression rate of VEGF in colorectal cancer were significantly higher than those in normal colonic mucosa tissue expression rate of comparative differences statistically significant(P 2cm的正常结肠粘膜组织作为参照物。
雷帕霉素靶蛋白(mTOR)信号通路参与沉默信息调节因子1(Sirt1)抑制小鼠脂肪沉积
雷帕霉素靶蛋白(mTOR)信号通路参与沉默信息调节因子1(Sirt1)抑制小鼠脂肪沉积赵涛涛;赵霞;景旭斌;杨海丽;孙超【期刊名称】《农业生物技术学报》【年(卷),期】2012(20)4【摘要】探讨沉默信息调节因子1(Sirt1)对小鼠脂肪沉积的抑制作用和雷帕霉素靶蛋白(mTOR)信号通路的影响.用Sirt1的激动剂白藜芦醇(100 mg·kg-1·d-1)和抑制剂尼克酰胺(500 mg·kg-1·d-1)灌胃处理小鼠(Mus mussulus)15 d,记录小鼠体质量变化,测定小鼠皮下脂肪、附睾脂肪和肾周脂肪的沉积量,试剂盒测定血脂指标,同时利用Real-time PCR分析与脂肪生成密切相关的转录因子过氧化物酶体增殖物激活受体y(PPARγ)、固醇调节元件结合蛋白1(SREBP1)和脂解基因甘油三酯水解酶(ATGL)、激素敏感性脂肪酶(HSL)、围脂滴蛋白(Perilipin)及生脂基因脂肪酸合成酶(FAS)mRNA的表达水平,检测mTOR通路关键因子雷帕霉素靶蛋白(mTOR)、核糖体S6蛋白激酶1(S6K1)和真核启动因子4E结合蛋白1(4EBP1)mRNA表达水平.与对照组相比,白藜芦醇处理组小鼠体质量增加量和体脂含量均显著降低(P<0.01),血清中甘油三酯(TG)、总胆固醇(TC)和低密度脂蛋白(LDL-C)浓度均显著降低(P<0.01),而高密度脂蛋白(HDL-C)浓度升高(P<0.01),mTOR通路关键因子mTOR、4EBP1和S6K1 mRNA表达水平降低(P<0.01),脂代谢相关基因PPA Rγ SREBP1及成脂基因FAS mRNA表达水平显著降低(P<0.01),脂解相关基因ATGL、HSL和Perilipin mRNA表达水平显著升高(P <0.01);烟酰胺处理组小鼠体质量、附睾脂肪以与皮下脂肪沉积量增加缓慢(P>0.05),肾周脂肪沉积量增加(P<0.05),血清中LDL-C浓度升高(P<0.05),HDL-C浓度降低(P<0.01),mTOR通路关键因子mTOR和4EBP1 mRNA表达水平升高(P <0.01),而脂代谢调控相关因子PPARγ和SREBP1 mRNA水平升高(P<0.05),ATGL mRNA表达量显著降低(P<0.05),FAS、HSL和Pe rilipin mRNA表达量变化不显著(P>0.05).表明激活Sirt1可减少脂肪合成,增加脂肪分解,从而降低体脂沉积,而mTOR信号通路参与这个过程.%This study aimed at exploring the inhibition of silence information regulatorl (Sirtl) on fat deposition of mice and the influence of mammalian target of rapamycin (mTOR) pathway. Mice(Mus mussulus) were treated with the activator of Sirtl resveratrol (100 mg·kg-1 ·d-1) and the antagonists nicotinamide (100 mg · kg-1 ·d-1) by gavage daily for 15 days. The body weight, subcutaneous fat ti ssue, periepdidymal fat pads and perirenal fat pads were weighed, while the concentrations of triglycerides (TG), total cholesterol (TC), low density lipoprotein (LDL-C) and high density lipoprotein (HDL-C) were measured by Kits. The mRNA expression of transcriptional regulation factors peroxisome proliferator-activated receptor y (PPARy), sterol regulatory element-binding protein 1 (SREBP1) as well as adipose decompose related gene adipose triglyceride lipase (ATGL), homrnoe-snestive lipaes {HSL), perilipin and fat synthesis gene fatty acid synthetase (FAS) mRNA were measured by Real-time PCR. Simultaneously, the levels of the key factors of mTOR pathway mammalian target of rapamycin (mTOR), eukaryotic initiation factor 4E binding protein 1 (4EBP1) and P70 ribosomal protein S6 kinases 1 (S6K1) mRNA were also measured by Real-time PCR. Compared with the control, resveratrol could decreased the increase of body mass and the body fat content (P<0.01), obviously decreased the concentrationsof TG, TC and LDL-C in blood serum (F<0.01), and visibly increased the concentrations of HDL-C (P<0.01). The expression levels of the key fatcors of mTOR pathway: mTOR, 4EBP1 and S6K1 mRNA, were down-regulated (P<0.01), the major transcriptional factors PPARy, SREBP1 and fat synthesis gene FAS mRNA were also distinctly reduced (P<0.01), while the mRNA expression of adipose decompose related genes ATGL, HSL and Perilipin mRNA were up-regulated significantly (P<0.01). Body weight, periepdidymal fat pads and subcutaneous fat tissue increased alittle(P>0.05) in nicotinamide-treatment mice, while perirenal fat pads increased (P<0.05), the levels of HDL-C up-regulated (P<0.05) as well as LDL-C reduced significantly (P<0.01) in nicotinamide-treatment mice. The expression levels of the key factors of mTOR pathway mTOR and 4EBP1 mRNA were obviously down-regulated (p<0.01), and the major transcriptional factors PPARy and SREBP1 mRNA increased (P<0.05), as well as adipose decompose related gene A TGL mRNA decreased (p<0.05), but the expression of HSL and Perilipin were not significant(P>0.05), and the expression levels of fat synthesis gene FAS were also not significant (P>0.05).We demonstrated that activate Sirtl can reduce fat synthesis, increase fat breakdown and reduce body fat deposition, and mTOR pathway involves in this process.【总页数】7页(P404-410)【作者】赵涛涛;赵霞;景旭斌;杨海丽;孙超【作者单位】西北农林科技大学,动物科技学院,杨凌712100;西北农林科技大学,动物科技学院,杨凌712100;西北农林科技大学,动物科技学院,杨凌712100;西北农林科技大学,动物科技学院,杨凌712100;西北农林科技大学,动物科技学院,杨凌712100【正文语种】中文【相关文献】1.抑制哺乳动物雷帕霉素靶蛋白信号通路对慢性脑缺血小鼠认知功能的改善和机制[J], 张斌斌;吴美玲;刘露娜;竺杨彬;开洁静;曾玲晖2.哺乳动物雷帕霉素靶蛋白(mTOR)信号通路及其在生殖过程中的作用 [J], 曾兰;刘学庆3.哺乳动物雷帕霉素靶蛋白(mTOR)信号通路与生理功能的调节研究进展 [J], 王怡;张姣姣;杨炜蓉;王莉娟;王鲜忠4.脊髓哺乳动物雷帕霉素靶蛋白信号通路参与大鼠外周神经损伤诱发的痛觉过敏[J], 杨文茜;郭曲练;程智刚;王云姣;白念岳;贺正华5.抑制雷帕霉素靶蛋白复合物1信号通路可改善孤独症谱系障碍模型BTBR小鼠的症状 [J], 张宏;杜亚松因版权原因,仅展示原文概要,查看原文内容请购买。
Response to paper comments
Dear Editor and Reviewers,We highly appreciate the detailed valuable comments of the referees on our manuscript of ‘OA-05021’. The suggestions are quite helpful for us and we incorporate them in the revised paper. During the last two months, we have referred to literatures and papers and re-analyzed the collected data and reconstructed the paper to improve the quality of our paper.As below, on behalf of my co-authors, I would like to clarify some of the points raised by the Reviewers. And we hope the Reviewers and the Editors will be satisfied with our responses to the ‘comments’ and the revisions for the original manuscript.Thanks and Best Regards!Yours Sincerely,ZHANG Gong2005-11-12Journal of Forest ResearchReviewer's Comment to the AuthorManuscript No. OA-05021Title: Deposition Pattern of Precipitation and Throughfall in a Subtropical Forest, Central-south ChinaAuthors: G. Zhang, G.-M. Zeng, G.-H. Huang, Y.-M. Jiang, J.-M. Yao, R. Jiang & C. ZhangComment to Author:General Comments:1. The explicit hypotheses or objective of this study in the third paragraph of the Introduction are not well developed in the first two paragraphs of the Introduction. For example, why would you expect a “differences in precipitation quantity, ion concentrations and fluxes in bulk precipitation and throughfall”? It would seem much more relevant to address the literature on dry deposition, canopy leaching and ecological factors for effecting the process of canopy exchange in the first paragraph than briefly mentioning topics like chemical species, forest type and interception of forest. Also the second paragraph of the introduction largely considers the effects of different methods, and the differences of forests in Taiwan and in Hunan, which is not part of this paper. Surely this paragraph would be better exploring the expected pattern with a seasonal basis to support putting up hypotheses or objective in the last paragraph of the Introduction.2. That the site is located in the central-south China. A map showing geographical location of the site would be better than the description of characters. This site represents a forest type dominated by fir and other tree species. An analysis of species composition and age structure would be required for the study forest.3. Seasonal trends of mean value of ion concentrations in the data (Table 2, Table 3) need to be assessed statistically. Not only we need to know that the change of ion concentrations with seasons are significant but we need to know the differences of ionconcentration among rainfall events sampled.4. Results and discussion would be separated in the paper. Discussion should be consistent with introduction of the paper.Response to general comments: (1) The section of ‘Introduction’ has been re-written and the comments of the Reviewer were adopted in our revision.(2) The Figure 1, including the geographical location of the study site and the 10 plots and the layout of the throughfall collectors in each plot, was added in the revised manuscript. The ages and the species analysis were also conducted (see detailed response), which was also listed in the revised manuscript.(3) The tables have been re-analyzed and slightly modified during revision; we think the modifications will improve the expression and clearance.(4) The structure of this manuscript was also reconstructed in our revision the paper. To be consistent with the objectivities of this paper, the section of ‘Results and discussion’ was provided again in the revised manuscript.Specific comments:P5L2 - delete sampleResponse: The word of ‘sample’ was deleted in the revised manuscript.P5L2 at what altitude and in what soil type was the study forest.Response: (1) The study site is at an altitude of 290 m.(2) The soil types are yellow and yellowish-brown soils according to Chinese soil classification.The two points mentioned above about Shaoshan forest are listed in the revised manuscript.P5L4 – provide a map showing geographical location of the study siteResponse: A geographical map (see Fig. 1 in the revised paper) described the location of the study site, the disposition of the 10 plots and the layout of the 16 throughfall collectors.P5L7 – shows the sources of climatic dataResponse: the climatic data are from the measurement by the weather station built in the Shaoshan forest. The data are also available in the papers (Zeng et al. 2005; Zhang et al. 2005).P5 L11 - age structure analysis of the study forest is neededResponse: The projected canopy coverage of the stand is about 82 % and the age of the trees in Shaoshan forest ranges from 20 to 70 years old.P6L1 – How big was the catchment and how far apart were the 10 plots in this study? Response: The area of the forested catchment is about 27 ha and the 10 plots are set at different altitudes: 3 (A-C plot) plots are assigned to the lower parts of the catchment (25-50 m altitude), 5 (D-H plot) to the middle of the catchment (75-100 m altitude) and 2 (I-J plot) to the upper parts (125-170 m altitude) (see Fig. 1 in the revised manuscript).P6 L2 - how can forest types and composition of canopy trees not change if the 10 plots are in different parts of the catchmentResponse: The trees species in Shaoshan forest are mainly the following four species, i.e. Chinese fir (Cunninghamia lanceolata) dominates the stand, and massoniana pine (Pinus Massoniana) and camphor wood (Cinnamomum camphora) are frequent species; in addition, some bamboos (Phyllostachys pubescens) grow here. Chinese fir approximately accounts for 44 %, massoniana 31 %, camphor 20 %, and bamboo 5 % of the total stand volume (300 m3 ha-1).The dispositions of the ten plots in shaoshan forest are described in Fig. 1. Generally, bamboo dominates the plot-C in the lower parts of Shaoshan catchment, but the relatively mixed species of Chinese fir, massoniana and camphor are distributed in the other 9 plots of Shaoshan stand.P7 L2 – shows the reason or relevant literature for checking the quality of analyzed data.Response: The quality of the analytical data was checked by comparing the measured conductivity with that calculated from the concentration of all measured ions and their specific conductivities. If the differences were less than 10 %, we consider that the major ions had been analyzed. The analytical procedures are taken from EMEP (Cooperative programme for monitoring and evaluation of long-range transmission of air pollutants in Europe) (1996).P9 L10 – interception (25%) of the study forest is lower than that (15%) of fir plantation in east-southern China! Are there differences in age structure and canopy density between two fire forests?Response: The age structure and canopy density between Shaoshan forest and the fir plantation in southeast China are really different from each other. But there are some similar properties. For example, the dominant specie in the two sites is fir and the climate in the two regions is similar, that is the subtropical climate. The comparison of the interceptions is to obtain the interception capacity of the similar specie in different regions.P9L20 – Fig. 2 ---legend: BP-Bulk precipitation; TF-Throughfall?Response: The legend of BP is the bulk precipitation and TF the throughfall in Fig. 2, which has been explained in the revised manuscript.P11 - Table 2- provides the variation (SD or SE) for seasonal mean values for ion concentrations in different seasons.Response: The standard errors for the parameters are given in Table 2 in the revised manuscript. The Table 2 on the concentrations in the original text was deleted, because the Table 2 and Table 3 differed only by a factor of ‘precipitation quantity’, which was also suggested by the Reviewer.Table 3 was divided into two tables in the revised manuscript: one wasTable 2-‘the seasonal mean ion flux in bulk precipitation and throughfall’; the other was Table 3-‘the seasonal net throughfall flux (NTF)’.P12L10 – “Shaoshan forest is located in the H2SO4 –type acid rain polluted region” ---- “This site is 30km away from……, without any significant sulfur emissions” (P5L10). Illogicality?Response: The statement is not illogical. The reasons why are as following:(1) Shaoshan forest is 30 km away from the nearest town and 150 km away from Changsha city, the capital city of Hunan province. The surroundings of Shaoshan forest is without sulphur emissions.(2) Hunan province, including Changsha and other many cities, is under the severe H2SO4 –type acid rain pollution, which results from industrial activities in the cities. The atmospheric transportation of pollutants strongly influences the atmospheric chemistry of the regions in or near Hunan region. Shaoshan forest is with no exception. Therefore, we stated that Shaoshan forest is located in the H2SO4-type acid rain pollution region, but this statement was modified in the revised manuscript.P13L4 – Fig. 3 -- BC = Base cation?Response: The ‘BC’ means base cations in Fig.3.Literature citedChinese Soil Taxonomy Research Group, Institute of Soil Science, the Chinese Academy of Science, 1995, Chinese Soil Taxonomy (Revised Proposal), Beijing: Chinese Agricultural Scientific Publishing House.Draaijers GPJ, Erisman JW (1995) A canopy budget model to assess atmospheric deposition from throughfall measurements. Water Air Soil Pollut. 85: 2253-2258. EMEP (1996) EMEP Manual for Sampling and Chemical Analysis, Norwegian Institute for Air Research, EMEP/CCC-Report 1/95.Zeng GM, Zhang G, Huang GH, Jiang YM, Liu HL (2005) Exchange of Ca2+, Mg2+and K+ and the uptake of H+, NH4+ for the canopies in the subtropical forest influenced by the acid rain in Shaoshan forest located in Central-south China.Plant Science 168: 259-266.Zhang G, Zeng GM, Jiang YM, Yao JM, Huang GH, Jiang XY, Tan W, Zhang XL, Zeng M (2005) Effects of weak acids on canopy leaching and uptake processes ina coniferous-deciduous mixed evergreen forest in central-south China. Water AirSoil Pollut. In revision.Journal of Forest ResearchReviewer's Comment to the AuthorManuscript No. OA-05021Title: Deposition Pattern of Precipitation and Throughfall in a Subtropical Forest, Central-south ChinaRelevance: the manuscript reports about measurements and analyses of precipitation and throughfall in a subtropical forest. As such, it is not a contribution with new methods, but an application to a new site. The number plots, samplers and analyses is high compared to usual standards and the duration of the measurements is sufficient to draw conclusions. It is thus more the achieved precision than its novelty which makes this contribution worth a publication.Abstract: the abstract covers the content of the article, but on several points it is not clear enough (see details below).Introduction and objective: the introduction gives a good overview of the topic. However, a few points in the logical construction should be improved (see details below). The objective of the study is clearly stated and in line with the content. Material and methods: most of the necessary information is given, but some aspects are missing. Too many points are unclear, partly (it appears) because of writing errors. Results and interpretations: the structure of the results and discussion is not really logical, which results in several redundancies and in a text going several times back and forth between topics. Most interpretations are correct, but some must be questioned (see details below).Conclusion: the conclusion is more a summary of the results and discussion. Make it a real conclusion (with some new ideas) or just drop it.Writing: for a reviewer not speaking English as first language, the writing of the manuscript appears to contain too many mistakes, making it often difficult to understand.Figures and tables: they are appropriate. Table 2 (concentrations) and 3 (fluxes) are essentially redundant as they differ only by a factor (precipitation amount). In this case, however, this can be accepted because it helps reading the text if both concentrations and fluxes are given.Response to General comments: We thank the Reviewer very much for his/her kind comments on Abstract, Introduction, Results and interpretations, conclusions, and Figures and tables. The detailed comments have been replied one by one.Generally, the section of ‘Results and discussion’ was re-written and the original section of ‘Results and discussion’ was divided into three-sections: Precipitation and canopy interception; Ion flux in bulk precipitation and throughfall; Factors regulating throughfall flux which includes four sub-sections: Dry deposition; Canopy leaching; Precipitation ion concentration; and Precipitation acidity.The mentioned Table 2 was deleted in the revised manuscript and Table 3 was divided into two parts as following: Table 2: The seasonal ion flux in bulk precipitation (BP) and throughfall (TF) (mmol m-2 season-1) and precipitation quantity (H2O, mm) in Shaoshan forest; Table 3: Seasonal net throughfall flux (NTF) of ions in Shaoshan forest (mmol m-2 season-1).And Fig.4 was deleted (see our response to the comment on Fig.4) in the revised manuscript.DETAILLED COMMENTSp.2: is this an evergreen or a deciduous forest (from the abstract, it can be supposed that it is evergreen, but this information is too important to be omitted).Response: The studied Shaoshan forest belongs to a deciduous and coniferous mixed evergreen forest.p.2: balanced / unbalanced chemistry: this concept is neither common (at least for me) nor defined in the abstract.Response: The definition of the balanced / unbalanced chemistry was deleted in the revised version.p.2: contributions of dry deposition vs. canopy leaching: it is not clear from which measurements and calculations this comparison can be done.Response: The mentioned contribution of dry deposition and canopy leaching to the NTF was from calculations.p. 2: precipitation quantity controlling leaching: it should at least be written in which direction this effect goes.Response: The relation between precipitation and canopy leaching is positive, indicating that the canopy leaching increases along with the precipitation quantity.p. 2: the multiple regression model: this is written as if this model would be unique or already defined in the abstract, neither of which is the case.Response: In the abstract, “the multiple regression model” should be a multiple regression analysis method or approach, which was taken into account in the revised manuscript.p. 2: leaching of base cations corrected by the weak acid: what is the purpose of this correction and how is it done?Response: The process of the canopy leaching of base cations induced by proton neutralizes the acid precipitation. However, the canopy leaching of base cations induced by weak acids does not neutralize the acid precipitation. The correction in our original manuscript is to estimate the canopy leaching of base cations flux, which neutralized the acid precipitation. The correction method was referred to Draaijers and Erisman (1995) and Zeng et al. (2005).p. 2: net throughfall flux: it would be better to define it (throughfall - precipitation). Response: We thank the reviewer for his/her comment, so we defined the net throughfall flux (NTF) as throughfall minus precipitation in the revised paper.p. 2: potential damages: not enough support is given to this hypothesis. Response: We agree with the viewpoint on potential damages. The hypothesis was not listed in the revised abstract in the revised paper.p. 3: the atmospheric species: this is not clear. Even if one understands that these are chemical species, then the main atmospheric species are molecular nitrogen, oxygen, water, carbon dioxide... and not those substances considered here.Response: We are in agreement with the reviewer’s comments on the atmospheric species in the original manuscript. The term of ‘atmospheric species’ was changed to ‘atmospheric chemical compositions’ in the revised version.p. 3: below-canopy chemistry: what kind of canopy is meant here? Only forests or also other plant canopies like grassland or crops?Response: Below-canopy chemistry means the chemistry of the forested throughfall and stemflow, which only means the Shaoshan forest canopies.p. 3: chemistry of events: too much a shortcut (it is the chemistry of the water of a precipitation event).Response: We agree with the comment of the Reviewer and the suggestion has been applied in the revised manuscript.p. 3: ecological factors of the canopy exchange: the list (1-5) somehow mixes causes (factors) and mechanisms (processes).Response: The original five ecological factors have been incorporated into three in the revised paper as following: (i) the duration, quantity and acidity of precipitation (Cao et al. 1989; Baumler and Zech 1997; Feng et al. 2001), (ii) the species and ecological settings (Lindberg et al. 1986; Campo et al. 2000; Fan and Hong 2001), and (iii) forest soil characteristics, such as extractable amount of base cations and soil types (Lovett and Lindberg 1984; Lovett and Schaefer 1992).p. 3: reference Lovett & Lindberg: 1986 in the text, but 1984 in the reference list. Response: There is a mistake about the reference of ‘Lovett & Lindberg 1986’ in the original manuscript. This cited reference in the text should be ‘Lovett & Lindberg 1984’.p. 4: distinguished seasonality: redundancy (if there is a seasonality, that the seasons are distinguished).Response: We are in agreement with the Reviewer at this point for seasonality, and correct it in the revision.p. 4: Hunan, Taiwan, Shaoshan: it is not clear why the Hunan and Taiwan forests are described in particular and what is their relation to the Shaoshan forest of the present study.Response: (1) Shaoshan is situated in the central part of Hunan province. The subtropical climate in Hunan province (Central-south China) is similar to that of Taiwan, but the climate of Taiwan is influenced by typhoon (Lin et al. 2003).(2) The studies on the atmosphere-canopy interactions in these similar subtropical climate forests are few or limited to be available.The results in Shaoshan forest have been compared with that of Nanping fir plantations in Fujian province and Fushan forest in Taiwan to obtain the representative dynamics of elements in the atmosphere-canopy interactions in the subtropical forests.p. 5: first sentence: too complicated (and wrong) structure.Response: The mentioned sentence has been corrected to: “The study was conducted on Shaoshan evergreen forest catchment (27 ha) in the central part of Hunan Province, Central-south China (27o 51´ N, 112o 24´ E) (Fig. 1a). The catchment varies in elevation from 25 to 290 m. The obtained data were collected from ten 30 m × 30 m plots in the forest from January 2000 to December 2003.’’.p. 5: two-dimensioned canopy structure: what does this mean?Response: “two-dimensioned canopy structure” means that the canopy structures in Shaoshan forest are the two layers, i.e. the top-layer and the sub-layer. The top-canopy layer is about 10-30 m-high, while the sub-canopy layer is approximate 0.8-3.5 m-high.p. 5: altitude: this precision (0.1 m) is not necessary. If the study area covers different parts of a catchment (p. 6), then the altitude is anyway not a constant, and a range should be given.Response: For the 10 plots in the studied stand, 3 plots are located in the lower parts of the forest (25-50 m altitude), 5 plots in the middle of the forest (75-100 m altitude) and 2 plots in the upper parts (125-170 m altitude).p. 5: seasons: in meteorology, the 4 seasons have a different standard definition (in the northern hemisphere, spring is from March to May etc.).Response: The definition of the seasons has been carefully referred to the local meteorological literatures during the revision and the statement of seasons has been corrected to: “The climate of Hunan province is subtropical and monsoonal with four seasons a year, i.e. spring (March to May), summer (June to August), autumn (September to November) and winter (December to February)”.p. 5: missing information: the soil type and the age of the trees should be given. The deposition climate should be described in just a few more words (something on a scale between pristine and heavily impacted by S, N, acidity).Response: The information of the soil type and the trees ages are given as below: (1) Forest soil types in Shaoshan stand are yellow and yellowish-brown soils according to Chinese soil classification (Chinese Soil Taxonomy Research Group et al. 1995); (2) The trees’ age in Shaoshan forest ranges from 20 to 40 years old.The deposition climate has been described as: “The site is 30 km away from the nearest town, Xiangtan city (60 thousand inhabitants) and 150 km away from Changsha city, the capital city of Hunan province (1.7 million inhabitants). Hunan province is heavily impacted by sulphur compounds”.The two points mentioned above are also listed in our revised paper.p. 5: plant species: most of them are not correctly spelled: Cunninghamia lanceolata, Pinus massoniana, Cinnamomum camphora, Euonumus (or Euonymus) japonicus. Check if it is requested or not to give the authorities of species names in J. For. Res.(e.g. Cunninghamia lanceolata (Lamb.) Hook.)Response: The names of the four plant species have been re-spelled carefully according to the suggestions of the Reviewer.p. 5: MISU: is this an abbreviation, the name of the model, the name of the factory? (As a rule, apparatus are described by: model, manufacturer, place).Response: The wet-only collector used in our study is from MISU (Department of Meteorology, Stockholm University, Sweden).p. 5: wet-only collector: incorrect sentence construction.Response: This sentence has been rewritten in our revised manuscript. For example, “A wet-only collector from MISU (Department of Meteorology, Stockholm University, Sweden) was placed on a 10 m-high tower adjacent to canopy covered throughfall plots.”.p. 5: bulk collector: not understandable (wrong sentence construction). Which collector was used for the precipitation: bulk or wet-only (or both)?Response: The sentence has been changed as: “The throughfall collector is made of a plastic bottle (2 L), a plastic funnel (d=11.5 cm), a connector with a filter (nylon screen), and a mounting equipment” in the revised paper. The wet-only collector has been used in our study.p. 6: the catchment: which catchment?Response: The catchment is the Shaoshan forested catchment.p. 6: disposition of the collectors: avoiding clearings means no random placement, i.e. the collectors are not representative of the entire forest, only of its denser parts. Response: There is a mistake in the expressions in our original version. The expression of the disposition of the collectors has been revised. The placements of the collectors were placed to avoid trunks but not clearings in our present study.p. 6: collectors placed on the selected trunk: in contradiction with fig. 1, where the collectors are around the selected trunk.Response: The schematic trunk in Fig.1 means the tree with DBH (diameter at breast height) normally larger than 15 cm. The selected trunks (DBH: 4-6 cm) are used as the mounting equipment to install the throughfall collectors. So the throughfall collectors were marked in Fig.1 but not the mounting equipment.p. 6: nucleopore: same comment as for MISU.Response: The nucleopore (0.45 µm membrane filter) is used to filter the precipitation and the throughfall samples prior to analysis.p. 6: the fiber plugs were displaced: unclear (which plugs, displaced from where to where?)Response: The word of displace should be a mistake in expression in the original text. The throughfall collectors are placed under vegetation canopies and 1.0 m above the forest ground. The throughfall collector is made of a plastic bottle (2 L), a plasticfunnel (d=11.5 cm), a connector with a filter (nylon screen), and a mounting equipment. The filter is replaced by a new one after weekly collection.p. 6: for determination: determination of what? Better use the word analysis, which is sufficient by itself.Response: The word of analysis instead of determination was used in our revised manuscript.p. 6: Dionex: same comment as for MISU. Do not write several sentences within parentheses.Response: The ion chromatography (IC) is operated on the ‘Dionex 320 system’ from USA, i.e. Dionex 320 system, USA.p. 7: making the necessary conversions: should be obvious, can thus be dropped. Response: We are in agreement with the comments of the Reviewer. The words of “making the necessary conversions” were deleted in the revised version.p. 7: same comment as for MISU; (R) sign usually not necessary in scientific publications.Response: We are in agreement with the comments of the Reviewer. The sign was deleted in the revised paper.p. 7: NTF: undefined abbreviation!Response: We defined the net throughfall flux (NTF) as throughfall minus precipitation in the revised paper.p. 8: eq. 1: single characters (symbols) should be used instead of abbreviations like NTF in equations (even if this rule is often violated). Use subscripts if necessary. Also: X and i are here redundant: just use i.p. 8: still about eq. 1: b3 could also be explained (saturation effect). Since acid-induced leaching is discussed further in the article, why do not use the acidity in the equation, like in Lovett et al. (1996)?Response to the two comments above: The two comments seem to be both on Eq.1. We are in agreement with the suggestions of the Reviewer. To be consistent with Lovett et al. (1996) and take the suggestion on the acidity into account, the original regression equation was changed as following:i X i X C b P b A b a NTF ⋅+⋅+⋅+=321 (Original) +⋅+⋅+⋅+⋅+=H x x TF C b C b P b A b a N 4321, (Revised)where x TF N , is the net throughfall flux of solutes (x ) (mmol m -2), A the dry period (day), P the amount of precipitation (mm), C x and +H C the concentration (µmol L -1) of particular solute (x ) and H + in incident precipitation. a is the intercept term and b 1-b 4 are the regression coefficients. Units of the regression coefficients are mmol m -2 per day for A (representing mean dry deposition rates) and mmol m -2 per mm for P (representing mean canopy exchange rates) and mmol m -2 per µmol L -1 for C x and +H C (representing effects of acid precipitation on the NTF).p. 8: eq. 2: X is the given ion: is it the concentration or the flux or what?Response: The given ion in the original text was the concentration. But Eq.2 was deleted in the revised manuscript; because we think the sentence is of the same function of Eq.2, i.e. the data series of this study are the averaged values of the same season in the four observed years.p. 8: w. a.: this abbreviation is apparently never used in the text, only in tables; then better define it in the tables, not here.Response: We agree with the Reviewer’s comment on the weak acids, and we define it in the tables but not in text in the revised paper.p. 8: no statistical differences in throughfall and bulk precipitation: this must be a mistake, because if nothing is significant then you can finish the article right here! Response: We are grateful with the Reviewer’s kind comment. Indeed, there is a mistake in the expression of the statistical differences in throughfall and bulk precipitation in our original text.It was corrected to “No statistical difference in the bulk precipitation quantity as well as that in the throughfall was found among the 10 plots in Shaoshan forest”.p. 9: 210 rain samples: from p. 6, the rain samples are analysed daily; does this mean that it rained during 210 days within the 4 years?Response: In our original text, the expression of the sampling and laboratory analysis may be too shortcut. In the revised manuscript the statement of this part may be much clearer than the original one. And we hope these revisions and statements will be clearly understood:The rain samplings are described as “The wet deposition samples are collected daily, but the daily samples are pooled to weekly samples prior to chemical analysis”. The throughfall samples are described as: “At weekly intervals, the collected throughfall volume in the 16 collectors per plot is pooled and weighed. Chemical analysis for throughfall is done at monthly intervals in pooled samples”.。
生化英汉互译
关键酶:key enzyme 化学修饰调节:chemical modification变构调节:allosteric regulation 应激:stress反馈抑制:feedback inhibition 代谢组学:metabolomics生物转化:biotransformation 加单氧酶:monooxygenase尿苷二磷酸葡萄糖醛酸:UDPGA 3'-磷酸腺苷5'-磷酸硫酸:PAPS胆汁酸:bile acid 结合胆红素:conjugated bilirulin非蛋白氮:non protein nitrogen 2,3-二磷酸甘油酸:2,3-diphosphoglycerate(2,3-BPG)促红细胞生成素:erythropoietin,EPO 血红素:heme卟啉症:porphyria 复制:replication半保留复制:semiconservative replication 双向复制:bidirectional replication半不连续复制:semidiscontinuous replication 复制子:replicon复制起始点:replication origin 岗崎片段:Okazaki fragment模板:template 引物: primerDNA聚合酶:DNA polymerase Klenow片段:klenow fragment解链酶:helicase 拓扑异构酶:topoisomeraseDNA连接酶:DNA ligase 引物酶:primase端粒:telomere 端粒酶:telomerase逆转录:reverse transcription 逆转录酶:reverse transcriptase切除修复:excision repairing 突变:mutation点突变:point mutation 框移突变:frame shift mutation。
核磁共振中常用的英文缩写和中文名称
NMR中常用的英文缩写和中文名称收集了一些NMR中常用的英文缩写,译出其中文名称,供初学者参考,不妥之处请指出,也请继续添加.相关附件NMR中常用的英文缩写和中文名称APT Attached Proton Test 质子连接实验ASIS Aromatic Solvent Induced Shift 芳香溶剂诱导位移BBDR Broad Band Double Resonance 宽带双共振BIRD Bilinear Rotation Decoupling 双线性旋转去偶(脉冲)COLOC Correlated Spectroscopy for Long Range Coupling 远程偶合相关谱COSY ( Homonuclear chemical shift ) COrrelation SpectroscopY (同核化学位移)相关谱CP Cross Polarization 交叉极化CP/MAS Cross Polarization / Magic Angle Spinning 交叉极化魔角自旋CSA Chemical Shift Anisotropy 化学位移各向异性CSCM Chemical Shift Correlation Map 化学位移相关图CW continuous wave 连续波DD Dipole-Dipole 偶极-偶极DECSY Double-quantum Echo Correlated Spectroscopy 双量子回波相关谱DEPT Distortionless Enhancement by Polarization Transfer 无畸变极化转移增强2DFTS two Dimensional FT Spectroscopy 二维傅立叶变换谱DNMR Dynamic NMR 动态NMRDNP Dynamic Nuclear Polarization 动态核极化DQ(C) Double Quantum (Coherence) 双量子(相干)DQD Digital Quadrature Detection 数字正交检测DQF Double Quantum Filter 双量子滤波DQF-COSY Double Quantum Filtered COSY 双量子滤波COSYDRDS Double Resonance Difference Spectroscopy 双共振差谱EXSY Exchange Spectroscopy 交换谱FFT Fast Fourier Transformation 快速傅立叶变换FID Free Induction Decay 自由诱导衰减H,C-COSY 1H,13C chemical-shift COrrelation SpectroscopY 1H,13C化学位移相关谱H,X-COSY 1H,X-nucleus chemical-shift COrrelation SpectroscopY 1H,X-核化学位移相关谱HETCOR Heteronuclear Correlation Spectroscopy 异核相关谱HMBC Heteronuclear Multiple-Bond Correlation 异核多键相关HMQC Heteronuclear Multiple Quantum Coherence异核多量子相干HOESY Heteronuclear Overhauser Effect Spectroscopy 异核Overhause效应谱HOHAHA Homonuclear Hartmann-Hahn spectroscopy 同核Hartmann-Hahn谱HR High Resolution 高分辨HSQC Heteronuclear Single Quantum Coherence 异核单量子相干INADEQUATE Incredible Natural Abundance Double Quantum Transfer Experiment 稀核双量子转移实验(简称双量子实验,或双量子谱)INDOR Internuclear Double Resonance 核间双共振INEPT Insensitive Nuclei Enhanced by Polarization 非灵敏核极化转移增强INVERSE H,X correlation via 1H detection 检测1H的H,X核相关IR Inversion-Recovery 反(翻)转回复JRES J-resolved spectroscopy J-分解谱LIS Lanthanide (chemical shift reagent ) Induced Shift 镧系(化学位移试剂)诱导位移LSR Lanthanide Shift Reagent 镧系位移试剂MAS Magic-Angle Spinning 魔角自旋MQ(C) Multiple-Quantum ( Coherence ) 多量子(相干)MQF Multiple-Quantum Filter 多量子滤波MQMAS Multiple-Quantum Magic-Angle Spinning 多量子魔角自旋MQS Multi Quantum Spectroscopy 多量子谱NMR Nuclear Magnetic Resonance 核磁共振NOE Nuclear Overhauser Effect 核Overhauser效应(NOE)NOESY Nuclear Overhauser Effect Spectroscopy 二维NOE谱NQR Nuclear Quadrupole Resonance 核四极共振PFG Pulsed Gradient Field 脉冲梯度场PGSE Pulsed Gradient Spin Echo 脉冲梯度自旋回波PRFT Partially Relaxed Fourier Transform 部分弛豫傅立叶变换PSD Phase-sensitive Detection 相敏检测PW Pulse Width 脉宽RCT Relayed Coherence Transfer 接力相干转移RECSY Multistep Relayed Coherence Spectroscopy 多步接力相干谱REDOR Rotational Echo Double Resonance 旋转回波双共振RELAY Relayed Correlation Spectroscopy 接力相关谱RF Radio Frequency 射频ROESY Rotating Frame Overhauser Effect Spectroscopy 旋转坐标系NOE谱ROTO ROESY-TOCSY Relay ROESY-TOCSY 接力谱SC Scalar Coupling 标量偶合SDDS Spin Decoupling Difference Spectroscopy 自旋去偶差谱SE Spin Echo 自旋回波SECSY Spin-Echo Correlated Spectroscopy自旋回波相关谱SEDOR Spin Echo Double Resonance 自旋回波双共振SEFT Spin-Echo Fourier Transform Spectroscopy (with J modulation) (J-调制)自旋回波傅立叶变换谱SELINCOR Selective Inverse Correlation 选择性反相关SELINQUATE Selective INADEQUA TE 选择性双量子(实验)SFORD Single Frequency Off-Resonance Decoupling 单频偏共振去偶SNR or S/N Signal-to-noise Ratio 信/ 燥比SQF Single-Quantum Filter 单量子滤波SR Saturation-Recovery 饱和恢复TCF Time Correlation Function 时间相关涵数TOCSY Total Correlation Spectroscopy 全(总)相关谱TORO TOCSY-ROESY Relay TOCSY-ROESY接力TQF Triple-Quantum Filter 三量子滤波WALTZ-16 A broadband decoupling sequence 宽带去偶序列WATERGATE Water suppression pulse sequence 水峰压制脉冲序列WEFT Water Eliminated Fourier Transform 水峰消除傅立叶变换ZQ(C) Zero-Quantum (Coherence) 零量子相干ZQF Zero-Quantum Filter 零量子滤波T1 Longitudinal (spin-lattice) relaxation time for MZ 纵向(自旋-晶格)弛豫时间T2 Transverse (spin-spin) relaxation time for Mxy 横向(自旋-自旋)弛豫时间tm mixing time 混合时间τ c rotational correlation time 旋转相关时间。
MODULATION OF GRANULOSA CELL APOPTOSIS
专利名称:MODULATION OF GRANULOSA CELL APOPTOSIS发明人:GILCHRIST, Robert, Bruce,THOMPSON, Jeremy,HUSSEIN, Tamer申请号:AU2006001002申请日:20060718公开号:WO07/009166P1公开日:20070125专利内容由知识产权出版社提供摘要:The present invention relates to a method of modulating apoptosis of a granulosa cell. The method includes one or more of the following steps: (i) modulating the concentration and/or activity of BMP-15 and/or BMP-6 that the granulosa cell is exposed to; (ii) modulating activity of a BMP-15 dependent signalling pathway in the granulosa cell; and (iii) modulating activity of a BMP-6 dependent signalling pathway in a granulosa cell.申请人:GILCHRIST, Robert, Bruce,THOMPSON, Jeremy,HUSSEIN, Tamer地址:Level 7 115 Grenfell Street Adelaide, South Australia 5000 AU,3 Aberfeldy Avenue Woodville, South Australia 5011 AU,14 Monaco Crescent Grange, South Australia 5022 AU,Research Centre for Reproductive Health Department of Obstetrics and Gynaecology The University Of Adelaide The Queen Elizabeth Hospital Woodville Road Woodville, South Australia 5011 AU国籍:AU,AU,AU,AU代理机构:PHILLIPS ORMONDE & FITZPATRICK更多信息请下载全文后查看。
人工关节磨损钛微粒诱导破骨的NF-κB信号机制的实验研究
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肿瘤代谢英语
肿瘤代谢英语
肿瘤代谢英语是肿瘤学领域中的一个重要概念。
它涉及到肿瘤细胞的生长、分裂、能量代谢等多个方面。
以下是一些与肿瘤代谢相关的英语词汇。
1. Tumor metabolism - 肿瘤代谢
2. Glycolysis - 糖酵解
3. Warburg effect - Warburg效应
4. Anaerobic respiration - 厌氧呼吸
5. Aerobic respiration - 有氧呼吸
6. Oxidative phosphorylation - 氧化磷酸化
7. Mitochondria - 线粒体
8. ATP - 腺苷三磷酸
9. Hexokinase - 葡萄糖激酶
10. Pyruvate kinase - 丙酮酸激酶
11. Fatty acid oxidation - 脂肪酸氧化
12. Acetyl-CoA - 乙酰辅酶A
13. Glutamine metabolism - 谷氨酰胺代谢
14. Pentose phosphate pathway - 磷酸戊糖途径
15. NADPH - 还原型辅酶II
以上词汇是肿瘤代谢英语中的一部分。
了解和掌握这些词汇对于学习和研究肿瘤代谢非常重要。
- 1 -。
MTF概论
MTF 基礎第一章:MTF概論1-1 MTF的定義Modulation的定義--在這一個課程中,我們要進行的是有關鏡頭的MTF量測介紹。
MTF 的英文全名是Modulation Transfer Function,翻譯成中文就是光學調制傳遞函數,它有另外一個名稱叫做Contrast Transfer Function,也就是:對比度轉換函數。
從名稱來看,我們可以知道MTF有光學對比的概念在裡面。
現在就先來看Modulation (M)的定義:Modulation 是I的maximum減去I的minimum除以I的maximum加上I的minimum;也就是(光的最亮度減去光的最暗度)與(光的最亮度加上光的最暗度)的比值,所得出來的結果M,就是光的對比度。
我們舉例來看,假設有一個標靶,它的黑白條紋中最亮的光強度值(Imax )為1000,最暗的光強度值(Imin)為2,我們可以得到Imax - Imin =1000-2=998,Imax + Imin=1000+2=1002,這兩個值相比等於998除以1002,也就等於0.996。
所以這個測試標靶中,黑白條紋的modulation (M)的值為0.996,我們可以把它看成是測試標靶中黑白條紋的對比值。
Modulation基本上可以看成是經過歸一化的對比值。
何謂歸一化?歸一化指的是normalize,意思是它的最大值為1。
怎麼說呢?就一般投影機測試而言,對比度的定義是Imax 除以Imin ,如果以這個例子來看,Imax=1000 ,Imin =2,那麼它的對比度就是(Imax/Imin )=1000/2=500。
由此例,我們可以看出歸一化的對比度(Modulation)與一般的對比度(Contrast)的定義上的不同。
然而,相同的是--它們都是對比度的表示方式。
MTF的定義--在物空間,有物的Modulation。
在像空間,有成像的Modulation,我們知道Modulation其實代表的就是對比度(contrast)。
Temperature modulates hepatic carbohydrate metabolic enzyme
Temperature modulates hepatic carbohydrate metabolicenzyme activity and gene expression in juvenile GIFT tilapia(Oreochromis niloticus)fed a carbohydrate-enriched dietJ.Qiang a,J.He a,H.Yang a,H.Wang b,M.D.Kpundeh a,P.Xu a,n,Z.X.Zhu aa Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization,Ministry of Agriculture,Freshwater Fisheries Research Center,Chinese Academy of Fishery Sciences,Wuxi214081,Jiangsu,Chinab Fisheries College,Guangdong Ocean University,Zhanjiang524025,Chinaa r t i c l e i n f oArticle history:Received16May2013Accepted22December2013Available online30December2013Keywords:Oreochromis niloticusTemperatureCarbohydrateEnzyme activityGene expressiona b s t r a c tThe effects of rearing temperature on hepatic glucokinase(GK),glucose-6-phosphatase(G6Pase)andGlucose-6-phosphate dehydrogenase(G6PD)activity and gene expression were studied in GIFT(genetically improved farmed tilapia)tilapia fed a high carbohydrate diet containing28%crude protein,5%crude lipid and40%wheat starch.Triplicate groups offish(11.28g initial body weight)were fed thediet for45days at221C,281C or341C.At the end of the trial,final body weight of juvenile at281C(59.12g)was higher than that of thefish reared at221C(27.13g)and341C(43.17g).Feed intake,feed efficiency and protein efficiency ratio were also better at281C.Liver glycogen levels were higher at281C,while plasma glucose levels were higher in the221C group.Significant(P o0.05)effects of watertemperature on enzymes activities and gene expression were observed.Hepatic GK activity and mRNAlevel were higher at281C than at341C.Higher G6Pase and G6PD activity and gene expression wereobserved at221C.Overall,the data show that juveniles reared at281C exhibited enhanced liverglycolytic capacity.In contrast,hepatic gluconeogenesis and lipogenesis were increased by lowtemperature(221C).&2014Published by Elsevier Ltd.1.IntroductionTilapia is an important freshwaterfish species that is farmedextensively in southern China.When the level of dietary proteinsis greater than40%,the growth of tilapia juveniles is promoted(Al Hafedh,1999).However,a high protein diet results in higher costsand contributes to increased nitrogenous waste being released intothe environment(Oliva-Teles,2000;Enes et al.,2008a).The use of adigestible non-protein energy source,such as carbohydrates,mayminimize the above-mentioned problems.Carbohydrates are a cheapsource of energy compared to lipids and proteins in the preparationof a commercial diet(Tran-Duy et al.,2008).An adequate level ofdietary carbohydrate could raise protein-sparing effect in manyfishspecies(Azaza et al.,2009).Fish regulate the decomposition and absorption of dietary carbo-hydrate in the liver via glucose metabolism enzymes(Hemre et al.,2002).Therefore,the study of hepatic carbohydrate metabolicenzymes is an essential step to understanding the mechanism ofcarbohydrate utilization and increasing our knowledge of nutritionalregulation.Hepatic glucokinase(GK)and glucose-6-phosphatase(G6Pase)play major roles in the regulation of glycolytic andgluconeogenic pathways,respectively(van de Werve et al.,2000).Glucose-6-phosphate dehydrogenase(G6PD)is a key carbohydratemetabolic enzyme of the lipogenesis pathway(Towle et al.,1997).The activities of key enzymes in liver and intermediary metabolismoffish may be influenced by external environment factors such aswater temperature(Moreira et al.,2008;Enes et al.,2008a,2008b;Couto et al.,2008)or seasonal variation(Levesque et al.,2002).Water temperature is recognized as one of the most importantabiotic factor affecting growth,food intake,and metabolic enzymesoffish.Data concerning the influence of water temperature on theregulation of key enzymes associated with the carbohydrate meta-bolism have been published.Increased water temperature enhancedcarbohydrate utilization and liver glycolytic,gluconeogenic andlipogenic capabilities in gilthead sea bream Sparus aurata(Eneset al.,2006,2008a;Couto et al.,2008)and European sea bassDicentrarchus labrax(Enes et al.,2008b;Moreira et al.,2008).Brauge et al.(1995)found that,with increased temperature,theefficiency of carbohydrates as an energy supply for rainbow trout(Oncorhynchus mykiss)improved.Shikata et al.(1995)reportedhigher activities of key enzymes of glycolytic and gluconeogenicContents lists available at ScienceDirectjournal homepage:/locate/jtherbioJournal of Thermal Biology0306-4565/$-see front matter&2014Published by Elsevier Ltd./10.1016/j.jtherbio.2013.12.003n Corresponding author.Tel./fax:þ8651085557959.E-mail address:Xup@(P.Xu).Journal of Thermal Biology40(2014)25–31pathways in common carp(Cyprinus carpio),exposed to lower water temperatures;which inform the subsequent thermal compensations.Generally,herbivorous or omnivorousfish have a greater ability to use dietary carbohydrate than carnivorousfish(Hidalgo et al., 1999),possibly because of higher amylase activity and receptor affinity for insulin(Banos et al.,1998).Warm-waterfish are generally more efficient in using dietary carbohydrate than cold waterfish(Wilson,1994).Tilapias are a warm-water,omnivorous fish species that can use levels of digestible carbohydrates as high as40%in their diets(Wang et al.,2005).To the best of our knowledge,there have been no studies comparing activities of key enzymes of carbohydrate metabolism at different water tempera-tures in GIFT(genetically improved farmed tilapia)strain of Nile tilapia fed a high carbohydrate diet.Currently,there is increased interest in China in the culture of the GIFT tilapia mainly because of its rapid growth rate,highfillet yield,and good disease resistance(Qiang et al.,2012a);the common rearing temperature range of GIFT tilapia is261C to321C(Qiang et al.,2012b). In addition,genes coding for key enzymes in different carbohy-drate metabolic pathways have been cloned and characterized in variousfish tissues(Leung and Woo,2010),and regulation of these enzymes at the molecular level by dietary carbohydrate manip-ulation has been reported(Enes et al.,2008a,b).Thus,the aim of this study was to evaluate,at three different water temperatures(221C,281C and341C),the effect of a high wheat starch(40%)diet on the growth performance,plasma glucose and liver glycogen levels of GIFT tilapia juveniles,and to understand more precisely the regulation of the enzymatic activity of hepatic GK,G6Pase and G6PD and gene expression at different sampling times.2.Materials and methods2.1.Source of experimentalfishHealthy Nile tilapia juveniles of the16th generation of the GIFT strain were obtained from Yixing,one of the bases of Freshwater Fisheries Research Center of the Chinese Academy of Fishery Sciences.Prior to the experiments,thefish were acclimated for 10days in indoor concrete tanks at a water temperature 2870.31C.The photoperiod was set on a12h light and12h dark cycle.During acclimatization,thefish were conditioned to accept submerged feed(32%crude protein,8%crude lipid and16%wheat starch).2.2.Experimental dietThe diet was formulated to contain40%wheat starch(Table1). The ingredients were milled and mixed in a food mixer.Next, water was added gradually until a desirable paste-like consistency was reached,pelleted through3mm holes in a kitchen meat grinder,and then sun-dried.After drying,all diets were stored at À201C in plastic-lined bags until used.2.3.Experimental managementThe trial was performed in three independent,water recircula-tion systems,each with a separate temperature regulation(reser-voir tank),biofilter,UV-sterilization lamp and six plastic480-L tanks(three tanks were used in experiment one and another three tanks were used in experiment two).A3kW immersion thermo-static heater was installed in each reservoir tank to maintain the preselected water temperature.Three temperature regimes were maintained at2270.31C,2870.31C and3470.31C,respectively. Each treatment was tested in six tanks simultaneously.In the experiment,450L of tap water,which had been aerated for 3consecutive days,was added to each of eighteen plastic480-L tanks.After7days of adaptation to the experimental conditions, groups of25fish with an initial mean body weight of11.28g (70.06g)were randomly distributed to each tank.Results of MANOVA showed that there was no significant difference between the various experimental groups or between all replicates (P40.05).Continuous aeration was applied during the entire experiment and feces on the bottom of the plastic tanks were siphoned off daily.In all tanks,water was constantly replaced by continuousflow at the rate of2L minÀ1to provide oxygen and remove excess nitrogenous wastes.In addition,1/3of the water volume was replaced every3days,with a temperature difference of less than0.31C.During the experiment water temperature and pH were monitored daily,and dissolved oxygen,ammonia-N and nitrite were measured weekly.Dissolved oxygen never fell below 6mg LÀ1,and pH ranged from7.4to7.8.Ammonia-N and nitrite were both maintained at concentrations lower than0.01mg LÀ1, and photoperiod was controlled at a12-h light/dark cycle.2.3.1.Experiment one:Effect of water temperature on growth in juveniles fed a carbohydrate-enriched dietNine plastic tanks were used in experiment one.Each treat-ment was assigned to triplicate groups of animal.Fish were offered experimental diet(Table1)by hand two times daily(07:00h and 16:00h).Thefish were fed6%of their body weight per day.The experiment was conducted for45days.Thefish were fasted for 24h prior to sampling.Then,fish were bulk weighed and5fish from each tank were sampled for determination of hepatosomatic indices.2.3.2.Experiment two:Effect of water temperature on enzymatic activities and mRNA level in juveniles fed a carbohydrate-enriched dietAnother nine plastic tanks were used in experiment two. Feeding and rearing management were same as experiment one. Threefish samples from each tank were collected6h after the morning meal on days0,27and45during the experiment.The livers samples of threefish from each tank were removed,frozen and stored atÀ801C until analysis of enzymatic activities and RNA. To avoid possible errors in measurement indices induced by stress,fish were killed with an overdose of tricaine methanesulfonate(2%; Table1Composition and proximate analyses of the experimental diet.Diet ingredientsFish meal25.00 Wheat starch40.00 Fish oilþsoybean oil(1:1) 3.00 Soybean meal27.80 Vitamin premix1 1.00 Mineral premix2 1.00 Choline chloride0.50 Vitamin C phosphate ester0.20 Ca(H2PO4)2 1.50 Proximate composition(%)Dry matter90.87 Crude protein28.23 Crude lipid 5.11 Ash 6.21 Gross energy(kJ/g diet)20.12 Note:(1)Vitamin premix(mg/kg dry diet):V A10,V D0.05,V E400,V K40,V B150,V B2 200,V B3500,V B650,V B75,V B1115,V B12011,V C1000,inositol2000,choline5000;(2)Mineral premix(mg/kg dry diet):FeSO4Á7H2O372,CuSO4Á5H2O25, ZnSO4Á7H2O120,MnSO4ÁH2O5,MgSO42475,NaCl1875,KH2PO41000,Ca(H2 PO4)22500.J.Qiang et al./Journal of Thermal Biology40(2014)25–31 26MS-222)within1min after capture.One portion of the liver sample was used for the determination of enzymes and liver glycogen.The remainder was later used for the measurement of GK,G6Pase and G6PD gene expression.In addition,the bloods from another threefish per tank were sampled on days0,27and45during the experiment. Blood was collected from the caudal vein with a heparinised syringe, immediately centrifuged and the plasma frozen atÀ201C until analysis.2.4.Analytical methods2.4.1.Proximate analysisDiets were analysed for proximate composition according to the procedures of Association of Official Analytical Chemists (AOAC,2000).Moisture was analysed by drying at1051C for 24h.Crude protein(N n6.25)was analysed by the Kjeldahl method after acid digestion using an Auto Kjeldahl System(1030-Auto-analyzer,Tecator,Hõganãs,Sweden).Crude lipid was determined by the ether extraction method using a Soxtec System HT(Soxtec System HT6,Tecator,Sweden).Ash was determined by combusting dry samples in a muffle furnace(Thermolyne Corporation,Dubu-que,Iowa,USA)at5501C for6h.Gross energy was obtained by means of an adiabatic bomb calorimeter(model WHR-15;Chang-sha,China,calibrated with benzoic acid).2.4.2.Hepatic GK,G6Pase and G6PD activityThe activity of glucokinase(GK,EC 2.7.1.2),were measured using100mM of glucose as described previously(Tranulis et al., 1996)at371C by coupling ribulose-5-phosphate formation from glucose-6-phosphate to the reduction of NADP using purified glucose-6-phosphate dehydrogenase(Sigma,Sintra,Portugal) and6-phosphogluconate dehydrogenase(Sigma)as coupling enzymes.The glucose-6-phosphatase(G6Pase,EC3.1.3.9)was analyzed by the methods of Panserat et al.(2001),monitoring the increase in absorbance(β-NAD,reduced form production) using purified glucose dehydrogenase(Sigma,Sintra,Portugal)in excess as the coupling enzyme.The glucose-6-phosphate dehy-drogenase(G6PD,EC 1.1.1.49)were performed as previously described by Bautista et al.(1988),a frozen sample of liver was homogenized(dilution1/5)in ice-cold buffer(0.02M Tris;0.25M sucrose;2mM Ethylene Diamine Tetraacetic Acid(EDTA);0.1M sodiumfluoride;0.5mM phenyl methyl sulphonylfluoride (PMSF);0.01Mβ-mercaptoethanol,pH7.4).Homogenates were centrifuged at30,000Âg for20min.Hepatic glycogen content was determined as described by Plummer(1987).All test kits were purchased from Shanghai Lengton Bioscience Co.,Ltd.(Shanghai, China).Plasma glucose levels were measured in a Roche Cobas C311automatic biochemical analyzer(Roche Cobas,Basel,Switzer-land)using kits purchased from Shanghai Lengton Bioscience Co., Ltd(Shanghai,China).2.4.3.Real-time quantitative PCRGene expression levels were determined by real-time quanti-tative RT-PCR.Primers for RT-PCR were designed with reference to the known sequences for tilapia,as shown in Table2.All primers were synthesized by Shanghai Genecore,BioScience&Technology Company(Shanghai,China).The PCR products were100–110bp long.Total RNA was extracted from the liver using Trizol reagent (Dalian Takara Co.Ltd.,Dalian,China).RNA samples were treated with diethyl pyrocarbonate(DEPC)-treated water(Dalian Takara Co.Ltd.).cDNA was generated from350ng RNA using a Prime-Script RT reagent kit(Dalian Takara Co.Ltd.).PCR amplification was conducted using an ABI7900HT fast real-time PCR system(ABI, USA)and a SYBR Green PCR Master Mix(ABI),according to the manufacturer0s instructions.RT-PCR was performed as follows: denaturation at951C for5min;40cycles of denaturation at951C for15s;annealing at601C for60s.Relative quantification of the target gene transcript GK,G6Pase and G6PD was calculated with a chosen reference gene transcript(β-actin)using the2ÀΔΔC T method.This mathematical algorithm computes an expression ratio based on real-time PCR efficiency and the crossing point deviation of the sample versus a control.PCR efficiency was measured by constructing a standard curve using a serial dilution of cDNA.A no template control(NTC)and no reverse transcriptase control(NRT)were used as controls for template and genomic contamination,respectively.Values for GK,G6Pase and G6PD mRNA were then expressed relative to the281C-treated group on day0(assigned an arbitrary value of1).2.5.Statistical analysisStatistical analysis was done by two-way ANOVA;significant differences among means were determined by Tukey0s multiple comparison test or paired-samples t-tests.All statistical analyses were computed using SPSS17.0.3.Results3.1.Growth performanceNo mortality was observed throughout the experiment.At the end of the experiment,final body weights ranged27.13–59.12g among treatments and were significantly(P o0.05)greater at 281C than at221C and341C;final body weight at341C is higher than that measured at221C(Table3).Significant effects of temperature(P o0.05)on feed intake,feed efficiency(FE)and protein efficiency ratio(PER)were observed,and were higher in fish reared at281C than at221C and341C,respectively.Mean-while at341C,feed intake,FE and PER were higher infish fed the high wheat starch diet than at221C.3.2.Hepatosomatic index,hepatic glycogen and plasma glucose levelsOn day45,the hepatosomatic index(HSI)was higher in GIFT tilapia juveniles fed a high wheat starch diet and reared at281C compared withfish reared at221C or341C(Table3);but it was not affected by water temperature between221C and341C groups.There was no difference between the plasma glucose levels of the281C and341C groups on days27and45(Fig.1); however,the level was higher infish reared at221C.Liver glycogen content(Fig.2)was significantly lower on day45 compared with day27and the level was higher infish reared at 281C than at221C or341C.3.3.Hepatic GK activity and gene expressionHepatic GK activity and gene expression were significantly (P o0.05)influenced by water temperature and sampling time (Table4).Hepatic GK activity was higher infish reared at281C than at341C or221C after day27when fed a high wheat starch diet(Fig.3).Compared with day0,hepatic GK activity in the221C and341C groups showed no significant change on day45, whereas the activity in281C group increased significantly (P o0.05).Hepatic GK expression was lower in the341C group on days27and45than the other experiment groups(Fig.4). The level of hepatic GK mRNA was not significantly different (P40.05)between the221C and281C groups on day45.J.Qiang et al./Journal of Thermal Biology40(2014)25–31273.4.Hepatic G6Pase activity and gene expressionHepatic G6Pase activity of the 341C-treated group increased initially and then decreased over the 45-day experimental period (Fig.5);G6Pase activity on day 45showed no signi ficant difference compared with day 0.G6Pase activity of the 221C and 281C groups on day 45were signi ficantly higher than those on day 0and of the 341C group.The interaction between the sampling time and water temperature was signi ficant (P o 0.05)(Table 4).Hepatic G6Pase mRNA levels for the 281C-and 341C-treated groups were distinctly lower than the 221C group after day 45(Fig.6),whereas the levels for all treated groups were higher than initial levels.3.5.Hepatic G6PD activity and gene expressionSigni ficant (P o 0.05)interaction between temperature and sampling time on hepatic G6PD activity was observed (Table 4).Hepatic G6PD activity was higher at 221C than at 341C or 281C on day 45(Fig.7).Compared with day 0,the 221C group was signi ficantly higher at the end of the experiment;however,water temperatures of 341C or 281C had no signi ficant effect on G6PD activity.The level of G6PD mRNA in tilapia juveniles fed a high wheat starch diet at 221C were higher than the other treated groups on days 27and 45(Fig.8).4.DiscussionIn the present study,the greatest growth was observed in fish reared at 281C.While 281C is close to the optimum temperature forTable 2Primer sequences.Target mRNA SequenceNCBI Genbank accession noGKF:50-GCAGCGAGGAAGCCATGAAGA-30XM_003451020R:50-GAGGTCCCTGACGAC TTTGTGG-30G6PaseF:50-AGCGCGAGCCTGAAGAAGTACT-30XM_003448671R:50-ATGGTCCACAGCAGGTCCACAT-30G6PDF:50-ACAGGAACTGTCAGCCCACCTT-30XM_003448158R:50-AGCACCATGAGGTTCTGGACCA-30β-actinF:50-CCACACAGTGCCCATCTACGA-30EU887951.1R:50-CCACGCTCTGTCAGGATCTTCA-30DaysP l a s m a g l u c o s e l e v e l (m m o l /L )0.02.04.06.08.010.00274522 °C 28 °C 34 °Ca*b*b*a*b*b*Fig.1.Plasma glucose level in juvenile GIFT tilapia fed high-carbohydrate enriched diet for 45days under three different temperatures (221C,281C and 341C)(n ¼9).Note :Values are mean 7standard error.Diverse little letters above histogram bars show signi ficant differences (P o 0.05)among fish reared at the respective temperatures (paired t -test).Asterisks indicate signi ficant differences (P o 0.05)from the initial value on Day 0(Tukey 0s multiple comparison test).DaysL i v e r g l y c o g e n l e v e l (m g /L )1.02.03.04.05.06.00274522 °C 28 °C 34 °C***a*a*b*Fig.2.Liver glycogen level in juvenile GIFT tilapia fed high-carbohydrate enriched diet for 45days under three different temperatures (221C,281C and 341C)(n ¼9).DaysH e p a t i c G K a c t i v i t y a c t i v i t y (m U /m g p r o t e i n )0.01.02.03.04.05.00274522 °C 28 °C 34 °Ca*b*b*aacFig.3.Hepatic GK activity in juvenile GIFT tilapia fed high-carbohydrate enriched diet for 45days (n ¼9).H e p a t i c G K m R N A /β-a c t i n m R N ADays0.01.02.03.04.05.06.00274522 °C 28 °C 34 °Ca*b*c*a*a*bFig. 4.Hepatic GK mRNA level in juvenile GIFT tilapia fed high-carbohydrate enriched diet for 45days (n ¼9).Days5.09.013.017.021.00274522 °C 28 °C 34 °Ca*a*b*a*b*cH e p a t i c G 6P a s e a c t i v i t y (m U /m g p r o t e i n )Fig. 5.Hepatic G6Pase activity in juvenile GIFT tilapia fed high-carbohydrate enriched diet for 45days (n ¼9).DaysH e p a t i c G 6P a s e m R N A /β-a c t i n m R N A0.01.02.03.04.00274522 °C 28 °C 34 °Ca*b*a*a*b*b*Fig.6.Hepatic G6Pase mRNA level in juvenile GIFT tilapia fed high-carbohydrate enriched diet for 45days (n ¼9).J.Qiang et al./Journal of Thermal Biology 40(2014)25–3128growth of GIFT tilapia juveniles (Qiang et al.,2012b ),221C and 341C were clearly below and above the optimum range,respectively.A similar temperature effect on growth of this species was also observed by Likongwe et al.(1996),Azaza et al.(2008)and Qiang et al.(2012b).In the present experiment,we observed minimum growth in GIFT tilapia fed a high wheat starch diet at 221C in relation with minimum feed intake and lower feed ef ficiency as shown in Table 3.This may be explained by the fact that fish maintained at higher temperatures present a greater ef ficiency of assimilation,as demonstrated by Azaza et al.(2008).Moreover,protein ef ficiency ratio was higher in the warm water acclimated fish suggesting an enhanced protein sparing at a higher temperature.In contrast to observations in Gilthead sea bream (Enes et al.,2008b ),at 221C,a signi ficant increase in plasma glucose level was noted in our study.A similar effect was also observed by Brauge et al.(1995),who found that,at a water temperature of 81C,plasma glucose levels in rainbow trout were higher than at 181C.In fish,the use of dietary carbohydrate requires enzymatic hydro-lysis before absorption (Tung and Shiau,1991);therefore,a considerable amount of glucose may enter the blood pool and may be related because carbohydrate-metabolizing enzyme activ-ity is insuf ficient at lower temperature (221C).A decrease in glucose uptake by cells or urinary clearance of excess glucose may explain these results (Deng et al.,2001).HSI was signi ficantly affected by water temperature.GIFT tilapia juveniles reared at 281C had signi ficantly higher HSI values than those reared at 221C or 341C.Higher HSI values in juveniles fed a high wheat starch diet at 281C may have resulted from glycogen deposition,which can be induced at speci fic tempera-tures (Moreira et al.,2008).Kim and Kaushik (1992)demonstrated that liver size was directly related to hepatic glycogen levels.In our study,higher levels of liver glycogen were recorded when fish were reared for 27days at different water temperatures.The main reason could be that when fish were fed on a high starch diet for a short time-period,they would have increased glycogen deposition in the liver because of the excess dietary carbohydrate intake (Dias et al.,1998).As rearing time increased,GIFT tilapia can regulate glycogen metabolism,increase related metabolic enzyme activity,reduce the content of liver glycogen,and maintain glucose home-ostasis (Caseras et al.,2000).The content of liver glycogen reducedmarkedly at day 45,indicating the adaptability of the fish to high starch diets.Liver glycogen content was lower in GIFT tilapia reared at 221C than in fish reared at 341C or 281C at the end of the experiment;higher temperatures would promote glucose absorption into cells (Hemre et al.,2002).This finding differs from data for gilthead sea bream (Enes et al.,2008b;Couto et al.,2008).In our study,a temperature effect was evident for GK activity,which was signi ficantly higher in tilapia reared at 281C than at 341C after 45days.A temperature of 281C may be optimal for improved growth of tilapia and may stimulate higher feed intake (Table 3)and enhanced glycolytic activity,thus promoting glucose use capacity.This is in agreement with the results of Enes et al.(2008b)and Couto et al.(2008)in Gilthead sea bream,who recorded temperature-dependent GK activity.Accordingly,both HSI and liver glycogen content were higher in fish reared at 281C than at 221C or 341C.A high water temperature of 341C may inhibit hepatic glucose metabolic enzymes or speci fic glucose metabolic pathways could be inhibited.Hepatic GK gene expression was lower in fish reared at 341C than at 221C or 281C on day 45.It is also interesting to note that GK expression (at enzymatic and molecular levels)showed higher values on day 27;GK expression of all treatment groups on day 45were signi ficantly lower than on day 27.To some degree,GIFT tilapia fed a high wheat starch diet possessed a capability of regulating carbohydrate metabolic enzymes.GK expression was rapidly sup-pressed after glycemia returned to basal values (Fig.1),suggesting that GK expression is important in controlling glucose homeostasis in fish (Caseras et al.,2000).Available data on the regulation of hepatic G6Pase expression (at an enzymatic and molecular level)in tilapia fed a high wheat starch diet at different water temperatures are relatively scarce.Nevertheless,Enes et al.(2008a,2008b),in European sea bassDays0.01.02.03.04.05.00274522 °C 28 °C 34 °Ca*a*ba*bcH e p a t i c G 6P D a c t i v i t y (m U /m g p r o t e i n )Fig.7.Hepatic G6PD activity in juvenile GIFT tilapia fed high-carbohydrate enriched diet for 45days (n ¼9).DaysH e p a t i c G 6P D m R N A /β-a c t i n m R N A0.01.02.03.04.00274522 °C 28 °C 34 °Ca*b*b*a*b*b*Fig.8.Hepatic G6PD mRNA level in juvenile GIFT tilapia fed high-carbohydrate enriched diet for 45days (n ¼9).Table 3Growth performance and hepatosomatic indexes of juvenile GIFT tilapia fed a high -carbohydrate enriched diet for 45days.Temperature221C 281C 341C Initial body weight (IBW)(g)11.2970.0411.2770.0411.3070.03Final body weight (FBW)(g)27.1371.03a 59.1271.72b 43.1771.56c Speci fic growth rate (%/d)a 1.9570.03a 3.6870.07b 2.9870.05c Feed intake (g/fish)47.1171.83a 77.4472.64b 71.5872.41c Feed ef ficiency b0.3770.05a 0.6870.07b 0.4970.05c Protein ef ficiency ratio c 1.1970.04a 2.1870.08b 1.5870.07c HSI d2.1670.30a2.6270.42b2.0670.37aNote :Means in the same column which have different letters on the top right have signi ficant difference (P o 0.05).All data are presented as means 7standard error.aSGR Speci fic growth rate:((In (FBW)-(In (IBW))/(time in days))Â100.bFE Feed ef ficiency:wet weight gain/dry feed intake.cPER Protein ef ficiency ratio:wet weight gain/crude protein intake.dHSI Hepatosomatic index:(liver weight/body weight)Â100.Table 4Two-way ANOVA for plasma glucose,liver glycogen,enzyme activities and gene expression.Variation sourceTemperatures SamplingtimeInteractionplasma glucose n n ns Liver glycogenn n ns Glucokinase activityn nn nsGlucose-6-phosphatase activitynn n n Glucose-6-phosphate dehydrogenaseactivity nnnGK mRNA leveln n ns G6Pase mRNA level n n ns G6PD mRNA levelnnnnsnP o 0.05.nnP o 0.01;ns:non-signi ficant.J.Qiang et al./Journal of Thermal Biology 40(2014)25–3129。
吗啡和哌替啶对小鼠脑微血管内皮细胞P-糖蛋白表达的影响
吗啡和哌替啶对小鼠脑微血管内皮细胞P-糖蛋白表达的影响苏健;阮祥才;张跃红;余守章;许立新【期刊名称】《南方医科大学学报》【年(卷),期】2010(030)008【摘要】目的观察临床浓度的吗啡和哌替啶对小鼠脑微血管内皮细胞P-糖蛋白(P-gP)表达的影响,以及NF-κB信号通路在吗啡诱导P-gp表达中的作用.方法采用小鼠脑微血管内皮细胞,以1μg/ml吗啡或哌替啶刺激24h,5μmol/L NF-κB抑制剂PDTC预先孵育1 h,然后收集细胞,行Western blotting分析P-gp表达.结果1μg/ml吗啡处理24 h,可引起小鼠脑微血管内皮细胞P-gP表达上调,上调幅度约300%;但是同样剂量和作用时间的哌替啶不影响小鼠脑微血管内皮细胞P-gp表达.PDTC可抑制吗啡诱导小鼠脑微血管内皮细胞P-gp表达上调.结论吗啡可诱导小鼠脑微血管内皮细胞内源性P-gp表达上调,NF-κB信号通路参与了吗啡诱导P-gp表达的调控过程.【总页数】3页(P1824-1826)【作者】苏健;阮祥才;张跃红;余守章;许立新【作者单位】广州医学院附属广州市第一人民医院麻醉科,广东,广州,510180;广州医学院附属广州市第一人民医院麻醉科,广东,广州,510180;中山大学眼科中心国家973项目重点实验室,广东,广州,510100;广州医学院附属广州市第一人民医院麻醉科,广东,广州,510180;广州医学院附属广州市第一人民医院麻醉科,广东,广州,510180【正文语种】中文【中图分类】R614.1;R971.2【相关文献】1.亚低温对大鼠脑微血管内皮细胞中P-糖蛋白表达的影响 [J], 李联平;张沂2.高迁移率族蛋白1对小鼠脑微血管内皮细胞 P-糖蛋白表达的影响 [J], 陈艳;余年;解渊;张亢;狄晴3.P-糖蛋白在神经元中的表达及氧化应激对P-糖蛋白的影响 [J], 白如冰;张忠泉;岑娟4.下调孕烷X受体表达对谷氨酸诱导的小鼠脑微血管内皮细胞P-糖蛋白表达和功能的影响 [J], 程永菲;余年;狄晴5.洛美利嗪对大鼠脑微血管内皮细胞上P-糖蛋白活力的影响与P-gp及mdr1基因mRNA表达无关(英文) [J], 吴玉林;马秉亮;祝浩杰;刘国卿因版权原因,仅展示原文概要,查看原文内容请购买。
坦西莫司研究进展
坦西莫司研究进展发表时间:2012-09-27T15:36:28.780Z 来源:《医药前沿》2012年第9期供稿作者:雍春周丽云[导读] 坦西莫司是已上市唯一可特异性抑制mTOR激酶(细胞内调节细胞增生、细胞生长和细胞存活的关键蛋白质)的药品。
雍春周丽云(杭州华东医药集团生物工程研究所有限公司 310011)【摘要】坦西莫司是用于治疗晚期肾细胞癌(RCC)的首个哺乳动物雷帕霉素靶蛋白(mTOR)抑制剂。
治疗晚期RCC的Ⅱ/Ⅲ期临床研究显示,坦西莫司对RCC有显著疗效。
具有较高的开发价值。
本文就坦西莫司的研究取得的主要进展进行了综述,为原料合成、制剂开发及质量研究等提供有价值的参考。
【关键词】坦西莫司肾癌靶向【中图分类号】R943 【文献标识码】A 【文章编号】2095-1752(2012)09-0381-022007年5月美国FDA批准惠氏公司惠氏制药子公司的坦西莫司注射剂(商品名:Torise|),用于治疗晚期肾细胞癌。
是首个雷帕霉素哺乳动物靶(mammalian target of rapamycin,mTOR)蛋白抑制剂靶向治疗肾癌的药品,是已上市唯一可特异性抑制mTOR激酶(细胞内调节细胞增生、细胞生长和细胞存活的关键蛋白质)的药品。
其III临床试验结果显示,与α-干扰素(目前治疗肾细胞癌的常规物,temsirolimus可将中位生存期延长3.6个月(增加50%)。
[1]坦西莫司Temsirolimus为白色或类白色粉末,无吸湿性。
难溶于水;易溶乙醇。
别名:CCI-779;中文名:雷帕霉素 42-[3-羟基-2-(羟甲基)-2-甲基丙酸酯;英文名:rapamycin 42 [3-hydroxy-2-(hydroxymethyl)-2-methylpropanoate];分子式:C56H87NO16;相对分子质量:1030.30,CAS登记号: 162635-04-3。
1 结构研究近年的研究表明,西罗莫司在预防同种异体肾移植术后排斥反应、各种支架管置入导致的血管再狭窄及抗肿瘤等方面具有重要作用。
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6458–6474Nucleic Acids Research,2007,Vol.35,No.19Published online20September2007 doi:10.1093/nar/gkm676The mitochondrial transcription termination factor mTERF modulates replication pausing inhuman mitochondrial DNAAnne K.Hyva¨rinen1,Jaakko L.O.Pohjoisma¨ki1,Aurelio Reyes2,SjoerdWanrooij1,Takehiro Yasukawa2,Pekka J.Karhunen3,Johannes N.Spelbrink1,Ian J.Holt2and Howard T.Jacobs1,4,*1Institute of Medical Technology and Tampere University Hospital,FI-33014,University of Tampere,Finland,2MRC-Dunn Human Nutrition Unit,Cambridge,UK,3Department of Forensic Medicine and Tampere University Hospital,FI-33014,University of Tampere,Finland and4Institute of Biomedical and Life Sciences,University of Glasgow,Scotland,UKReceived May10,2007;Revised August8,2007;Accepted August19,2007ABSTRACTThe mammalian mitochondrial transcription termi-nation factor mTERF binds with high affinity to a site within the tRNA Leu(UUR)gene and regulates the amount of read through transcription from the ribosomal DNA into the remaining genes of the major coding strand of mitochondrial DNA(mtDNA). Electrophoretic mobility shift assays(EMSA)and SELEX,using mitochondrial protein extracts from cells induced to overexpress mTERF,revealed novel,weaker mTERF-binding sites,clustered in several regions of mtDNA,notably in the major non-coding region(NCR).Such binding in vivo was supported by mtDNA immunoprecipitation.Two-dimensional neutral agarose gel electrophoresis (2DNAGE)and5’end mapping by ligation-mediated PCR(LM-PCR)identified the region of the canonical mTERF-binding site as a replication pause site.The strength of pausing was modulated by the expres-sion level of mTERF.mTERF overexpression also affected replication pausing in other regions of the genome in which mTERF binding was found. These results indicate a role for TERF in mtDNA replication,in addition to its role in transcription. We suggest that mTERF could provide a system for coordinating the passage of replication and transcription complexes,analogous with replication pause-region binding proteins in other systems, whose main role is to safeguard the integrity of the genome whilst facilitating its efficient expression.INTRODUCTIONThe mitochondrial genome of animals is organized in a highly compact manner,with virtually no non-coding information between or within its37genes.The circular genome is transcribed by a phage-type RNA polymerase into polycistronic transcripts which,in mammals,encom-pass the entire genome on both strands(1,2).Production of these transcripts depends upon a set of closely spaced promoters located in the major non-coding region(NCR). The primary transcripts are then processed to mature mRNAs,rRNAs and tRNAs via a series of enzymatic steps requiring the tRNA-processing endonucleases RNase P and tRNAse Z,as well as other enzymes.The major coding strand(informationally the L-strand,but for the purposes of transcription conventionally referred to by the name of the template,H-strand)is transcribed from two distinct initiation sites at the heavy-strand promoter(HSP),P H1and P H2,separated by$100bp.The P H2-derived precursor transcript covers virtually the entire genome and can give rise to all of the transcription products of the heavy-strand except tRNA Phe,whose coding sequence overlaps the P H2initiation site.The P H1initiation site gives rise to a truncated transcript encompassing just the rRNAs(plus two tRNAs)and thus defines a distinct mitochondrial rDNA transcription unit. Termination at the30end of the rDNA is brought about by a transcription termination factor,mTERF(3–6), which has also been proposed to interact with the RNA polymerase in initiation site selection(2,7).Recent data suggest that this involves formation of a DNA loop in which RNA polymerase complexes are recycled around the rDNA segment of the genome after terminating(7). mTERF binds sequence specifically with high affinity to aThe authors wish it to be known that,in their opinion,the first two authors should be regarded as joint First Authors*To whom correspondence should be addressed.Tel:+358335517731;Fax:+358335517710;E-mail:howard.t.jacobs@uta.fiß2007The Author(s)This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(/licenses/ by-nc/2.0/uk/)which permits unrestricted non-commercial use,distribution,and reproduction in any medium,provided the original work is properly cited.sequence element within the coding sequence of tRNA Leu(UUR),located immediately downstream of the rDNA(4).Current evidence indicates that mTERF interacts with its asymmetric-binding site as a monomer (8),although the tertiary structure of the protein and the structural basis of its interaction with DNA are unknown. mTERF belongs to a recently identified superfamily of proteins whose functions are largely unknown(9–11). Homologues in Drosophila and in sea urchins have variously been implicated in transcriptional termination (12–14),regulation of DNA replication(15)and even mitochondrial protein synthesis(11).The sea urchin mTERF homologue mtDBP(D-loop-binding protein) has recently been shown to terminate transcription in a polar manner(14,16),analogous with the activity of mTERF(5).However,mtDBP is also a contrahelicase (15),and has been proposed to play a role in regulating the expansion of the short D-loop of sea urchin mtDNA and thus the initiation of productive replication of the genome.Transcription and replication of mtDNA have long been regarded as interlinked processes.The primer for initiation of DNA replication has been assumed to be a product of transcription by the mitochondrial RNA polymerase.However,there is no consensus concerning the mechanism by which30ends are generated for extension by DNA polymerase,variously proposed to be RNA processing by endonuclease MRP(17)or protein-independent termination at one of the conserved sequence blocks of the NCR(18).The exact site of replication initiation is also unclear,and may vary between cell-types.A prominent cluster of50ends in H-strand DNA, designated as O H,is generally regarded as the major origin of(unidirectional)replication.However,there is no direct experimental evidence that it functions thus,and bidirectional initiation clearly occurs in some molecules at sites downstream of O H,both in cultured cells(19), especially when recovering from drug-induced mtDNA depletion(20),and in solid tissues(21,22).In a minority of molecules(21)these initiation sites can encompass the entire genome(in birds)or almost the entire genome (in mammals).Mitochondrial DNA(mtDNA)was for over25years assumed to replicate by a unique,strand-asynchronous mechanism(23).However,more recent analysis of mtDNA replication intermediates(RIs)by two-dimensional neutral agarose gel electrophoresis (2DNAGE)failed to detect the extensively single-stranded products of such a replication mechanism(19–22,24–26) and instead revealed two classes of double-stranded RIs. One class consists of the predicted products of conven-tional strand-coupled replication(19,21,24,25);the other contains extended RNA segments(26)encompassing the entire lagging strand(RITOLS,‘RNA incorporation throughout the lagging strand’,19).Maturation of the lagging strand to DNA appears to occur with different kinetics and distinct sites of initiation in different organisms(19),and some RIs of thefirst class could be interpreted as molecules in which lagging-strand DNA synthesis has effectively caught up with the advancing fork,as a result of replication pausing.The mechanism by which the RNA lagging strand is created is unknown. mtDNA replication also depends on the HMG-box protein TFAM,named for its essential role as a cofactor for efficient and specific transcriptional initiation.TFAM is required for mtDNA maintenance(27)and appears to have several distinct roles in mtDNA metabolism.It is a major structural protein of the mitochondrial chromo-some,but also influences mtDNA replication in ways connected with transcription.Overexpression of TFAM leads to a drop in mitochondrial transcript levels and a pronounced shift toward conventional,strand-coupled RIs(28).This could represent either a general slowing or stuttering of fork advance,attributable to a decreased availability of RNA to form the lagging strand(i.e.in which lagging-strand maturation frequently catches up with fork advance)or else a programmed switch to standard DNA synthesis.As a factor affecting the outcome of mitochondrial transcription,mTERF might be expected also to have some influence over mtDNA replication if,as suggested, replication is intimately connected with transcription. We therefore embarked on a series of experiments to document the effects on mtDNA replication of modulat-ing the expression of mTERF in cultured human cells. To this end,we set out initially to characterize better the binding specificity of mTERF,especially given recent reports of possible additional binding sites for mTERF in vivo(6,29).Electrophoretic mobility shift assays (EMSA)using mitochondrial protein extracts from cells induced to overexpress mTERF revealed additional, though weaker mTERF-binding sites clustered in strate-gically important regions of the mitochondrial genome. 2DNAGE and lagging strand50end mapping by ligation-mediated PCR(LM-PCR)identified the canonical mTERF-binding site as a replication pause site,with the frequency of pausing subject to the expression level of mTERF.Replication pausing in other regions of the genome,notably the NCR,was also affected by mTERF overexpression.These results indicate a role for mTERF in mtDNA replication,in addition to its role in transcription.MATERIALS AND METHODSCells and cell cultureHuman embryonic kidney-derived HEK293T cells,Flp-In TM T-Rex TM-293cells(Invitrogen),143B osteosarcoma, Jurkat and HeLa cells were cultured in Dulbecco’s modified Eagle’s medium(DMEM,Sigma)containing 4.5g/l of D-glucose,10%foetal calf serum(Sigma), 50m g/ml uridine(Sigma)and2mM L-glutamine (BioWhittaker/Cambrex)at378C in an incubator with 5%CO2in air.Flp-In TM T-Rex TM-293-derived cell-lines were cultured under selection with blasticidin and hygromycin according to the manufacturer’s protocol. Expression of mTERF or mTERF-MycHis(C-terminally tagged)was induced in transfected Flp-In TM T-Rex TM-293cells with10ng/ml doxycyclin(Sigma-Aldrich),which was replenished every48h.Cells were passaged routinely Nucleic Acids Research,2007,Vol.35,No.196459every3–4days at1:10or1:20dilution.Adherent cells were detached either by pipetting alone or,for HeLa cells,by treatment with Trypsin-EDTA(Bio-Whittaker/Cambrex). Suspension cells(Jurkat)were passaged by centrifugation and resuspension in fresh medium.Oligonucleotides and plasmidsOligonucleotides used to create EMSA or hybridization probes by PCR from purified human mtDNA or cloned segments thereof are listed in Supplementary Table1.The mTERF coding region,including the mitochondrial targeting signal and24nt of the50untranslated region,a total of1221bp,was amplified from HeLa cell cDNA(30) using the following chimeric primer pairs(all sequences shown50to30,restriction sites used for cloning under-lined):BamHI-mTERF F1,CGCGGATCCCTGTTCTC CAGCCTTTCTGG plus HindIII-mTERF R1,CCC AAGCTTGGCAAATCTGCTTAACTTTTT to create an in-frame C-terminal fusion to the Myc epitope tag; BamHI-mTERF F1plus HindIII-mTERF R STOP, CCCAAGCTT TCA GGCAAATCTGCTTAACTTTTTC to create an mTERF expression construct containing the stop codon at the natural position(shown in italics, underlined,complementary strand).After sequence verification PCR products were digested with BamHI and HindIII(Fermentas,manufacturer’s recommended conditions)and ligated to similarly digested pcDNA3.1(-)/ Myc-His A(Invitrogen)vector DNA to create the mTERF and mTERF-MycHis expression constructs. For induced expression using the Flp-In TM T-REx TM-293cell system these plasmids were digested with PmeI (New England Biolabs),which cuts on either side of the insert,ligated into PmeI-digested DNA of the vector pcDNA5/FRT/TO(Invitrogen),and stably transfected into the recipient cells as previously(31).DNA and siRNA transfectionsHEK293T cells were transfected either with3m g of plasmid DNA and30m l of LipofectAMINE(Invitrogen) or10m g of DNA and40m l of TransFectin TM Lipid Reagent(Bio-Rad),according to manufacturers’proto-cols.Transiently transfected cells were subsequently harvested for different assays,or placed under selection using2mg/ml G418Sulfate(Calbiochem),in order to select clones of stably transfected cells expressing mTERF-MycHis.mTERF-specific siRNAs were synthe-sized by means of in vitro transcription using the Silencer TM siRNA construction kit(Ambion).Candidate target sites for specific mTERF silencing were chosen using a prediction programme provided by Ambion (/techlib/misc/siRNA_finder.html). One out offive tested siRNAs was found to be efficient in mTERF silencing(see Results section),the relevant target site in mTERF mRNA being nt585–605 (50-AAGCGGGUGAAAGCUAACAUU-30).To knock-down mTERF expression,HEK293T cells(with or with-out prior stable transfection with the mTERF-MycHis expression construct)were transfected with10nM(final concentration)of mTERF-specific siRNA molecules using Lipofectamine TM2000transfection reagent(Invitrogen),as per manufacturer’s recommendations.An siRNA reagent targeted on50-GGAGAAGGUACGAGGGGC AUU-30(siRNA Control)was used as a negative control. ImmunocytochemistryFor immunocytochemistry cells were grown on coverslips, seeded at low density.Twenty-four hours after transfec-tion or induction with doxycyclin,cells were washed with DMEM and then incubated in fresh medium containing 100mM MitoTrackerÕRed CMXRos(Molecular Probes) at378C for10min,then washed twice with PBS.After incubation in fresh medium at378C for2h,cells were again washed twice with PBS andfixed in4%formalde-hyde/5%sucrose in PBS at378C for15min.After three further PBS washes cells were permeabilized by incubation in0.5%Triton X-100in PBS at378C for15min,washed twice with PBS,incubated in blocking solution(5%w/v non-fat milk powder in PBS)at room temperature for 45min,then again washed three times with PBS.After incubation in primary antibody solution,mouse anti-Myc monoclonal9E10(Roche Molecular Biochemicals, stock5mg/ml)1:1000in PBS for1h at room temperature, cells were washed three times with PBS,then incubated for1h at room temperature in a1:200dilution of secondary antibody,fluorescein-conjugated horse anti-mouse IgG(Vector Technologies,stock1.5mg/ml).After threefinal PBS washes the coverslips were mounted on slides using Vectashield with DAPI(Vector Technologies). Cells were visualized and photographed using an Olympus IX70inverted confocal microscope at100Âmagnification, with excitation at568nm(emission607/45)for Mitotracker Red and488nm(emission525/50)for fluorescein,using an Andor iXon DV885front-illumi-nated CCD camera.Western blottingSDS–PAGE used12%polyacrylamide gels under stan-dard conditions(32).Protein extraction and western blotting were carried out essentially as described pre-viously(30).Primary antibodies used were mouse anti-Myc monoclonal9E10(as above,diluted1:15000)and rabbit anti-human mTERF antibody,custom-supplied (Invitrogen)as an anti-peptide(KLH-conjugated CSNDYARRSYANIKE)antibody,1mg/ml,diluted 1:5000.Kodak Biomax TM ML X-rayfilm was exposed to thefilter membrane for between5s and5min. Preparation of mitochondrial lysatesCells were harvested without trypsinization,resuspended in1ml(per10cm plate of cells)of resuspension buffer (0.133M NaCl,5mM KCl,0.7mM Na2HPO4,25mM Tris–HCl pH7.5)and centrifuged at1200g max for2min at 48C.The pellet was resuspended in0.5ml of swelling solution(10mM NaCl,1.5mM CaCl2,10mM Tris–HCl pH7.5)and incubated on ice for15min.After swelling, the cells were dounce-homogenized(20–25strokes,tight-fitting pestle)on ice and breakage of the cells was checked microscopically.An equal volume of sterilefiltered sucrose/EDTA buffer(0.68M sucrose,2mM EDTA, 20mM Tris–HCl pH7.5)was added immediately after6460Nucleic Acids Research,2007,Vol.35,No.19breaking the cells.Nuclei and debris were pelleted by centrifugation at1200g max for10min at48C.The supernatant was transferred to a fresh tube and centrifu-gation was repeated.The supernatant was collected and recentrifuged at16000g max for30min at48C.The mitochondrial pellet was washed once with200m l of PBS and frozen atÀ808C or lysed immediately.For processing large quantities of cells the volumes were scaled up.Mitochondrial lysates were prepared essentially as described by Fernandez-Silva et al.(33),except using ‘Complete,Mini protease inhibitor cocktail’(Roche) instead of PMSF.EMSADNA fragments for EMSA were PCR amplified using mtDNA as template and primer pairs shown in Supplementary Table1,followed by sequence verification of the product.dsDNA oligonucleotide probes for EMSA (Supplementary Table1)were prepared by mixing equal amounts of complementary oligonucleotide pairs in500m l of H2O to afinal concentration of2mM,followed by incubation for5min at1008C and cooling to room temperature on the bench.Total of300ng of each PCR fragment or20pmol of each dsDNA oligonucleotide were labelled using8U of T4polynucleotide kinase (Fermentas)and15m Ci of[g-32P]ATP(Amersham Pharmacia Biotech,3000Ci/mmol)in15m lfinal volume of PNK buffer(MBI Fermentas).Reactions were stopped on ice and diluted to100m l with H2O.EMSA was carried out in20m l binding reactions according to Fernandez-Silva et al.(33)with minor modifications.Reactions contained at least10m l of the binding buffer(25mM HEPES–KOH,pH7.5,12.5mM MgCl2,20%glycerol, 0.1%Tween-20,1mM DTT),0.2pmol of labelled dsDNA oligonucleotide or3ng of labelled PCR product as probe, 5m g of mitochondrial lysate,100mM KCl,5m g BSA and 5m g of non-specific competitor DNA poly(dI-dC)–(dI-dC) (Amersham Pharmacia Biotech).Reactions were incu-bated at room temperature for20min and terminated on ice with addition of0.25volumes of30%glycerol. Competition EMSA reactions contained also up to 100-fold excess of the non-labelled competing probe. Supershift EMSA reactions contained0.5m g of anti-Myc antibody(as above),or1m g of anti-FLAGÕM2antibody (Sigma),which was added30min prior to the labelled probe.Depending on the length of the fragment,reaction products were analysed on5–10%non-denaturing poly-acrylamide TBE gels,pre-run at48C in2.2ÂTBE at100V for1h at48C,then run at100V for30min and175V for 3–5h depending on the size of the probe fragment.Gels were dried and autoradiographed using KODAK BioMax TM MSfilm.SELEXCreation of a randomized DNA ligand library was carried out essentially as described by Blackwell(34).The46nt long oligonucleotide template contained14internal random nucleotides,flanked on either side by16ntfixed ends corresponding with standard primers,containing recognition sites for BamHI and EcoRI,respectively.Second-strand synthesis was carried out in a reaction volume of20m l containing1.6m g of template,500m mol of primer,2mM dNTPs and5U of Klenow fragment (Fermentas)in Klenow fragment buffer at468C for 1min,followed by378C for7.5min.The reaction was stopped by heating at758C for10min and the dsDNA ligand library was gel-purified from an EtBr-stained14% native polyacrylamide gel using the QIAEX kit (QIAGEN)according to the manufacturer’s protocol. Ligand selection was carried out in25m l reactions under essentially the same conditions as EMSA,using10m g of mitochondrial protein lysate from mTERF-MycHis expressing Flp-In TM T-Rex TM-293-cells,0.8m g of the ligand DNA and 6.25m g of non-specific competitor DNA poly(dI-dC)–(dI-dC)incubated for20min at room temperature.Pre-swollen anti-myc-Sepharose beads (Amersham Biosciences)were suspended in EMSA buffer(25mM HEPES–KOH,pH7.5,12.5mM MgCl2, 20%glycerol,0.1%Tween-20,1mM DTT,100mM KCl, 0.2m g/m l BSA),washed once in the same buffer and resuspended in1.5volumes of the same buffer containing 0.25m g/m l poly(dI-dC)–(dI-dC).To each binding reaction was added100m l of the bead suspension,followed by gentle rotation for2h at48C.Beads were then washed in EMSA buffer containing0.25m g/m l poly(dI-dC)–(dI-dC), followed by a further seven times in the buffer without poly(dI-dC)–(dI-dC)and gentle rotation overnight in 100m l of K buffer(10mM Tris–HCl,0.5mM EDTA 50mM NaCl,pH8.0)containing100m g/ml of freshly dissolved proteinase K(Fermentas).DNA was recovered from the beads by extraction with phenol–chloroform–isoamyl alcohol(25:24:1)and ethanol precipitation, washed once with70%ethanol and resuspended in a minimal volume of H2O($7.5m l).PCR was then carried out using2m l of this template in a50m l reaction volume containing0.2m M of each SELEX primer(GGTGAAT TCGCTCACG and GAACGGATCCCTTTCG,both shown50to30,with restriction sites for cloning under-lined)and 2.5U of Pfu DNA polymerase(Promega). Thirty amplification cycles were carried out using a15s extension step,after which the enriched ligand DNA was gel-purified from an EtBr-stained12%native polyacryl-amide gel as above.After seven such enrichment cycles, the ligand DNA was cloned into pCRÕ4Blunt-TOPOÕvector(Invitrogen)and individual clones were sequenced using standard primers on an ABI3100sequencer using the BigDyeÕTerminator v3.1cycle sequencing kit (Applied Biosystems).DNA extraction and mtDNA copy number estimationFor the preparation of mtDNA(mitochondrial nucleic acids)for analysis of RIs from cultured cells,mitochon-dria were isolated and processed as described by Pohjoisma ki et al.(28).Total DNA for analysis of mtDNA copy number was extracted from cells by stan-dard methods(35),and copy number was determined using quantitative PCR,as described previously(28),with amyloid precursor protein(APP)as a single-copy nuclear DNA standard.Human placental mtDNA was prepared as previously(24).Total DNA for analysis of mtDNA RIs Nucleic Acids Research,2007,Vol.35,No.196461was extracted from frozen human tissue blocks$7Â7Â7mm3)obtained via forensic autopsies.The samples were taken as part of the Tampere Coronary Study, approved by the Ethics Committee of Tampere University Hospital(DNO1239/32/200/01)and the National Authority for Medicolegal Affairs.Heart,brain,skeletal muscle and kidney tissue samples were cut into thin slices with a sterile blade and suspended in2ml DNA extraction buffer(28).One-tenth volume of10%SDS and0.5mg proteinase K were added.The crude homogenate was passed several times through a5ml pipette tip with a sawn-offend,to disperse the larger tissue fragments. The homogenate was incubated overnight with gentle swirling at378C.After incubation,2volumes of phenol–chloroform–isoamylalcohol(25:24:1)were added,and the mixture was shaken gently for1h.The mixture was then transferred to Eppendorf15ml Phase Lock Gel TM Heavy tubes and centrifuged at5000g max for15min.The aqueous phase was recovered and the extraction step repeated. DNA was precipitated by the addition of0.2volumes of 10M ammonium acetate and2volumes of ethanol.The mixture was incubated on ice for10min and DNA was spooled out using a glass rod,washed once with70% ethanol,air dried gently and resuspended in300–700m l TE buffer(10mM Tris–HCl,1mM EDTA,pH8.0),depend-ing on the pellet size.2DNAGE analysis used10m g aliquots of heart and brain DNA and20m g aliquots of kidney and skeletal muscle DNA.Two-dimensional neutral agarose gel electrophoresisOne microgram of total mitochondrial nucleic acids was used per analysis.Restriction digestions were performed following manufacturers’recommendations,except for BclI which was carried out at378C for double the usual reaction time.If subsequent treatment with S1nuclease was used,DNA wasfirst recovered by ethanol precipita-tion and resuspended in the appropriate reaction buffer, before treatment with50U S1Nuclease(Promega)for 30s.Reactions were stopped by the addition of an equal volume of phenol–chloroform–isoamyl alcohol(25:24:1, pH8.0)and immediately extracted.2DNAGE was performed as described previously[(28),note different gel conditions for fragments in different size classes). Radiolabelled probes and blot hybridizationFor Southern hybridization,probes were created by Pfu-PCR,using cloned segments of human mtDNA as template(see Supplementary Table1),and subse-quently sequenced to confirm their identity.Probes were labelled using Rediprime TM II random prime labelling kit(Amersham)and[a-32P]dCTP(Amersham; 3000Ci/mmol).LM-PCRLM-PCR was carried out as described by Yasukawa et al.(20),using oligonucleotide primer sets as indicated in figure legends and as detailed in Supplementary Table2.Mitochondrial DNA immunoprecipitationCells were processed for mitochondrial DNA immuno-precipitation(mIP)essentially as described by Lu et al.(36).The mtDNA was sheared to fragments of average size500–600bp using a Sonics Vibra-Cell sonicator,3mm tip at25%power for3Â20s(1s on,1s off)with incubation on ice for30s plete,Mini protease inhibitor cocktail(Roche)was included in the lysis buffer.Lysates were pre-cleared with pre-swollen Protein A Sepharose(Amersham Biosciences)and immu-noprecipitations were carried out with5m g mouse anti-Myc monoclonal9E10(Roche Molecular Biochemicals) or anti-FLAGÕM2antibody(Sigma)overnight at48C. Final PCR reactions used primers listed in Supplementary Table1and the minimum number of amplification cycles required to generate substantial product bands from the input DNAs(generally25–26cycles,depending on the fragment,based on preliminary tests),thus avoiding saturation.RESULTSmTERF has multiple binding sites in the human mitochondrial genomeIn order to study the effects of mTERF on mtDNA replication,we established HEK293-derived cells expres-sing both natural mTERF and C-terminally Myc epitope-tagged mTERF.Mitochondrial targeting was verified by immunocytochemistry of transiently transfected HEK293T cells expressing mTERF-MycHis(Figure1a). Induction of protein expression in Flp-In TM T-Rex TM-293 cells stably transfected with the mTERF or mTERF-MycHis constructs was verified by western blotting (Figure1b).Protein levels were the same after24or48h of induction.Prolonged overexpression of mTERF (6days)had no significant effect on mtDNA copy number as estimated by Southern blotting(data not shown)or by quantitative PCR(Supplementary Figure1a).Since the main aim of the study was to determine the effects of altered mTERF expression on mtDNA replica-tion in vivo,wefirst tested the effects of mTERF expression on protein binding to mitochondrial DNA, using EMSA with mitochondrial protein extracts from cells overexpressing mTERF.In contrast to earlier studies using purified,bacterially expressed mTERF,this tests the effects of altered mTERF expression level on protein–DNA interactions in the mitochondrial milieu,in which other mitochondrial proteins,including TFAM,are present and may influence binding.Using EMSA with probes covering the previously identified,canonical mTERF-binding site in the tRNA Leu(UUR)gene,we confirmed that overexpression of natural mTERF,whether by transient or stable transfection(data not shown),or under tetracycline induction(Figure1c),leads to a large increase in sequence-specific binding activity.The protein complex formed from the Myc epitope-tagged protein migrated slightly slower than the complex formed by endogenous6462Nucleic Acids Research,2007,Vol.35,No.19or overexpressed natural mTERF,and was supershifted by an anti-Myc monoclonal antibody (Figure 1c),but not by other antibodies (e.g.anti-FLAG,Supplementary Figure 1b).The anti-Myc antibody did not supershift the complex formed by endogenous or overexpressed natural mTERF (Supplementary Figure 1b).These properties next allowed us to test other regions of the mitochondrial genome for specific binding of mTERF to DNA,using ing overlapping fragments of $150bp,we scanned the major NCR and its flanking sequences,the minor NCR (O L ),its surrounding tRNA gene cluster,the region extending from O L to the canonical mTERF-binding site in the tRNA Leu(UUR)gene,the ATPase 6gene and its junction with the COIII gene and several other segments of the genome (Figure 2,Supplementary Figures 2and 3).We estimated relative binding affinities using competition EMSA against the tRNA Leu(UUR)gene fragment and vice versa.As shown in Figure 2and Supplementary Figure 2,we identified a cluster of four moderately strong mTERF-binding sites within the ND1coding sequence and the adjacent IQM tRNA gene cluster (see Figure 2e for summary).Competition EMSA indicated that the binding to frag-ment ND1.1(Figure 2b)was between one and two orders of magnitude weaker than to the canonical binding site in tRNA Leu(UUR).Binding to the ND1.1fragment was tested further,using shorter,overlapping fragments (Supplementary Figure 2d).The results suggest that fragment ND1.1contains two distinct binding sites.We also identified a binding site adjacent to O H (fragment OH1)at least two orders of magnitude weaker than the canonical binding site,based on competition EMSA data (data not shown),as well as four other binding sites in the D-loop portion of the NCR and one at O L ,plus a possible site at the HSP (fragment OH5,see Supplementary Figure 2e).Alignment of the sequences of these binding sites suggested a consensus which was verified by SELEX (Table 1).Most of the SELEX output clones analysed (82/109)contained at least one match to the consensus TGGT or TYGGT,and 43clones showed an identical or almost identical (8/9)match to the extended consensus TGGT(N 5)TYGGT (or its complement).Of 28control clones analysed,subjected to the same number of amplification cycles but without antibody selection,none matched this paring the SELEX consen-sus with the canonical mTERF-binding site in the tRNA Leu(UUR)gene,and with the findings of an earlier application of PCR-based selection on a smaller scale using only EMSA (37),the invariant features of the binding site would appear to be two pairs of G residues on the same strand,separated by eight nucleotides (see also Supplementary Table 3).In order to verify that mTERF is able to bind to at least some of its non-canonical binding sites in vivo ,we carried out semi-quantitative mIP,using a minor adaptation of the method recently published by Lu et al .(36).For this assay we used cells inducibly expressing mTERF-MycHis,and carried out immunoprecipitation using anti-Myc antibody,as well as a control antibody (anti-FLAG)or noantibody.anti-Myc Mitotracker red mergetransientstablecold–induction antibody –+–++–––+–mTERF-MycHisinducedmTERF mTERF-MycHisACBa -myc a -mTERF2448t2448tmTERFmTERF-MycHisFB NBNB F B F S FFigure 1.Overexpression of mTERF in cultured cells.(A )Immunocy-tochemistry of HEK293T cells transiently or stably transfected with mTERF-MycHis,using anti-Myc monoclonal antibody,counterstained with Mitotracker Red.(B )Western blots of mitochondrial protein extracts from Flp-In TM T-REx TM -293cells transfected with the mTERF or mTERF-MycHis constructs and induced for expression as indicated (0,24,48h)or from transiently transfected (t)HEK293T cells,probed with anti-Myc or anti-mTERF antibodies,as indicated.The endogenous mTERF protein detected by the anti-mTERF antibody is singly arrowed.The mTERF-MycHis fusion protein detected by the same antibody is indicated by a double arrow.(C )EMSA using Leu-short dsDNA oligonucleotide probe and mitochondrial protein extracts from Flp-In TM T-REx TM -293cells transfected with the mTERF or mTERF-MycHis constructs and induced for expression as indicated.EMSA was carried out with or without anti-Myc antibody as shown (left-hand panel),or (right-hand panel)in the presence of an increasing amount of cold Leu-short dsDNA oligonucleotide competitor (1-,10-,100-and 1000-fold mass excess)or without competitor (À).The free probe (F),complexes formed by natural mTERF (B N )or the mTERF-MycHis fusion protein (B F ),and the antibody-supershifted complex (S)are indicated.See also Supplementary Figure 1.Nucleic Acids Research,2007,Vol.35,No.196463。