Expression Analysis of Genes Related to Rice Resistance Against Brown Planthopper Nilaparvata lugens
(英文)生物外文文献
FIG. 3
SK-BR-3 cell,HER2过表达的乳腺癌细胞,STAT3可以通 过特定的细胞因子激活。HER2是重要的乳腺癌预后判 断因子,HER2阳性(过表达或扩增)的乳腺癌,其临 床特点和生物学行为有特殊表现,治疗模式也与其他 类型的乳腺癌有很大的区别。
36%
FIG. 4 LIF刺激
FIG. 1
15.5%
FIG. 2
GRN knockdown reduced the mRNA expression of these genes, similar to the effects of STAT3 knockdown
58%
染色质免疫共沉淀技术( chromatin immunoprecipitation assay, CHIP )
70%
Suggesting that some but not all phenotypes associated with GRN knockdown can be rescued by constitutively active STAT3.
FIG. 6
42.9%
13.5%
These findings indicate that in primary breast cancers, GRN expression specifically correlates with enhanced STAT3 transcriptional activity in the presence of tyrosinephosphorylated STAT3
• 皮尔森相关系数(Pearson correlation coefficient)也称皮尔森积矩 相关系数(Pearson product-moment correlation coefficient) ,是一种 线性相关系数。皮尔森相关系数是用来反映两个变量线性相关程 度的统计量。相关系数用r表示,其中n为样本量,分别为两个变 量的观测值和均值。r描述的是两个变量间线性相关强弱的程度。 r的绝对值越大表明相关性越强。
嗜水气单胞菌相关基因的筛选及鉴定实验报告
嗜水气单胞菌相关基因的筛选及鉴定实验报告In this report, we present the experimental findings and analysis regarding the screening and identification ofgenes related to Aquatic Complex Mono-Cellular Bacteria (ACMB).我们收集了一系列来源于水环境的样本,并进行了培养和纯化过程。
接着,利用聚合酶链式反应(PCR)技术,我们扩增了从样品中提取的DNA片段。
Firstly, a collection of samples from water environmentswas gathered, following which a cultivation andpurification process was conducted. Subsequently, using polymerase chain reaction (PCR) technology, DNA fragments extracted from the samples were amplified.我们设计了一套特定的引物用于放大嗜水气单胞菌特征基因。
这些引物是通过与已知嗜水气单胞菌基因序列进行比对后设计得到的。
Next, a set of specific primers was designed for amplifyingcharacteristic genes of ACMB. These primers were developed by aligning known ACMB gene sequences.然后,我们将扩增得到的DNA片段纯化并测序,获得了大量读数数据。
经过质量控制筛选后,选择高质量的读数数据用于进一步分析。
The purified DNA fragments obtained from amplification were sequenced, resulting in a large amount of read data. After quality control screening, high-quality reads were selected for further analysis.随后,我们将这些高质量的读数数据与嗜水气单胞菌相关数据库进行比对分析,以寻找与嗜水气单胞菌相关的基因。
细胞工程期末复习
细胞工程期末复习资料一.选择题( ) 1. RNA interference (RNAi) refers to a phenomenon that ___inhibits expression of genes homologous to that ___.A: single-stranded DNA, ssDNA B: double-stranded RNA, dsRNA C: single-stranded RNA, ssRNA D: double-stranded DNA, dsDNA ( ) 2. The Nobel Prize in Physiology or Medicine for 2007 was awarded jointly to Mario R. Capecchi, Martin J. Evans and Oliver Smithies, for their discoveries of __.A: principles for introducing specific gene modifications in mice by the use of embryonic stem cellsB: the bacterium Helicobacter pylori and its role in gastritis and peptic ulcer disease C: RNA interference - gene silencing by double-stranded RNAD: human papilloma viruses and human immunodeficiency virus( )3. The Nobel Prize in Physiology or Medicine for 2009 was awarded to scientists Elizabeth H. Blackburn, Carol W. Greider, and Jack W. Szostak for their work in the discovery of___.A.principles for introducing specific gene modifications in mice by the use of embryonic stem cellsB.how chromosomes are protected by telomeres and the enzyme telomerase C.RNA interference - gene silencing by double-stranded RNAD.human papilloma viruses and human immunodeficiency virus( )4.贴壁型细胞附着在某一固相支持物表面才能生长,贴壁后呈现特定的形态特征。
QuantStudio 3和QuantStudio 5实时PCR系统使用说明书
QuantStudio 3 and QuantStudio 5 Real-Time PCR SystemsConnect to your data anytime, anywhereThe modern laboratory is undergoing a technological revolution. Today’s scientific breakthroughs emerge in a context of unparalleled connectivity. Lab instruments not only are more compact, automated, powerful, and accessible, but also can store and can connect to platformsthat can share vast amounts of data, facilitating scientific advances through global collaboration.As your trusted partner at the leading edge of this era of innovation, we’ve developed the Applied Biosystems™QuantStudio™ 3 and 5 Real-Time PCR Systems. These high-performance benchtop instruments allow you to remotely monitor your runs, as well as easily access and securely share results with colleagues anywhere, anytime when connected to Thermo Fisher Cloud. With your data always within reach and shareable, the answers shaping the future of science are never far away.Connect with your future234•Q uickly share data setsand protocols online•S end large files securelyaround campus or aroundthe world•I ntegrate and analyzemultiple data sets anddata types into oneproject•A ccess experiment runsfrom any location, anytime,with remote monitoring•W i-Fi–enabled connectivity•U tilize portable devices to quicklyanalyze data when you need to* With Internet access and ThermoFisher ConnectInteractivityCollaboration* Accessibility*• Interactive touch screen•R un and edit directly from touch screen•E asy and intuitive interfaceThese instruments provide our latest advancements in touch-screen usability, allowing you to stay connectedto your data easily. They’re designed for both new and experienced users who need simple and affordable real-time PCR systems without compromising performance or quality.Access, analyze, and share data anytime, anywhere—Remotely monitor your runs, analyze sophisticated data sets in minutes, store data in a secure space, and share results online with colleagues across institutions and around the world, with Web browser–based software. Monitor your runs in real time from mobile devices through the Instrument Connect mobile app.Obtain results you can trust—Detect differences in target quantity as small as 1.5-fold in singleplex reactions, and obtain 10 logs of linear dynamic range.Establish standard operating procedures and compliance with ease—Locked protocol templates,in-run quality control (QC) feedback, and QC traceabilityof consumables offer greater control of experimental data. Real-time data mark-up language (RDML) export is available for compatibility with MIQE guidelines.Helps save valuable time—3 or 6 independent temperature zones for flexibility to run multiple experiments simultaneously. Fast thermal cycling is also available, enabling results in less than 30 minutes.Get started quickly—Instrument is factory-calibratedfor optical and thermal accuracy, quick installation, and immediate use.Skip the learning curve—With preoptimized protocol templates, training is minimized for new users, allowing you to focus on your research.Maximize benchtop space—Compact instrument can be configured as a stand-alone unit or with a computer to fit most laboratory needs.Get a premium instrument at an affordable price—Innovation doesn’t have to come at a premium price.Get the state-of-the-art Applied Biosystems functionality and industrial design that you’ve come to know, with the QuantStudio family of instruments.Discover the QuantStudio 3 and 5 Real-Time PCR SystemsThe QuantStudio 3 and 5 Real-Time PCR Systems are the latest additions to our family of QuantStudio systems.56• Interactive touch-screen interface and simplified Applied Biosystems TM QuantStudio ™ Design and Analysis Software make it easy to get started and stay organized• Easily identifiable icons guide you through the workflow to set up runs and analyze experiments• Graphical interface allows easy editing of experimental conditions (Figure 1A)• Interactive touch screen allows you to manipulate view to a particular graph or data point (Figure 1B)• Option to pause a real-time PCR run on demand• Preoptimized protocol templates allow quick selection of default protocols for standard applications • L ocked workflow feature allows for experimental consistency in tightly controlled environments InteractivitySimple, intuitive software—at your fingertipsFigure 1. Graphical interface allows (A ) easy editing of thermal cycling conditions and viewing of plate layout, as well as (B) viewing of amplification plotsand drilling down to a subset of sample wells.BA7Web-based or online:• Web browser–based system configuration with PC or Mac ™ computers• Streamlined software for improved usability and analysis response time• E nables secure access of your data when and where you want it• No software to install, no additional fees, and no versions to update• Monitor and check instrument status• Real-time run monitoring with Instrument Connect mobile appDesktop:• Simple co-located computer system configuration • Streamlined software for improved usability and analysis response timeFor more information about the Thermo Fisher Connect platform and data security, go to /connectTwo ways to access QuantStudio Design and Analysis SoftwareAccess with Web browser–based software Co-locate with computer8Applied Biosystems ™ Analysis Modules are innovative cloud-based data analysis applications that bring together multiple data sets in one convenient place, and render them in stunning data visualizations for enhanced analysis and insights.CollaborationFast and powerful secondary analysis software to extract and share resultsAnywhere, anytime accessAccess your data with a compatible browser on any device. Eachregistered user has a PIN-protected account on Thermo Fisher Connect.Fast and powerful analysisAnalysis speeds up to 10 times faster than our desktop software version, to help analyze more data and gain insights more quickly than before using Thermo Fisher Connect.Easy to useOne-click quality checks and comparisons between different visualizations, for simple and convenient data analysis.Integrated analysis solution Integrate your experiments into a single project—analyze various groups of data, such as time course experiments or cell line comparisons, and pick ideal settings to easily compare data.Superior securityPowered by Amazon Web Services ™, the Thermo Fisher Connect platform helps protect your data in a highly secure environment using 256-bit encryption and physical security measures.MIQE guideline supportThe instrument software allows users to save predefined analysis settings for auto-exporting run data into their format of choice, including RDML (real-time data mark-up language, compliant withMIQE guidelines) export format.9Figure 3. Relative quantification module for gene expression analysis. With this module, you can customize groupings of data within projects for a thorough comparison of data. The module also includes integrated correlation,volcano, and cluster plot analysis, with the ability to drill down to amplification plots.Figure 2. Absolute quantification module for gene expression analysis. The module enables analysis of genes of interest with the use of a standard curve. Additional flexibility is achieved by importing standard curves from other experiments.Figure 4. Genotyping analysis module. This module expands on existing Applied Biosystems ™ TaqMan ® Genotyper ™ software with improved visuals and integrated traces of allelic discrimination plots. The module allows for thorough quality control of SNP assays to accurately reflect true signals vs. background noise.Absolute quantificationRelative quantificationGenotypingThe Applied Biosystems Analysis Modules include:10Utilizing proven Applied Biosystems ™ OptiFlex ™ technology and VeriFlex ™ Blocks, QuantStudio 3 and 5 systems offerimproved data accuracy and sensitivity for a broad range of genomic applications, such as analyses of gene expression, microRNAs and noncoding RNAs, SNP genotyping, copy number variation, mutation detection, drug metabolism enzymes, and protein expression.Generate high-quality data for a variety of applicationsPerformance you can trustFigure 5. The QuantStudio 3 and 5 systems provide sensitive detection and high-confidence target discrimination down to 1.5-folddifferences. (A ) Amplification plots for 1.5-fold dilutions of a KAZ plasmid amplified with Applied Biosystems ™ PE2 TaqMan ® Assay under Fast run conditions using TaqMan ® Fast Advanced Master Mix. Quantities assayed, and C t (SD): 1,000 copies, 27.9 (0.063); 1,500 copies, 27.4 (0.059); 3,000 copies, 26.4 (0.060); 4,500 copies, 25.8 (0.047); 6,667 copies, 25.2 (0.049); 10,000 copies, 24.5 (0.041). NTC = no-template control. (B ) Standard curve generated from the C t values.BAFigure 6. Real-time PCR reproducibility. This plot shows results from amplification of KAZ target plasmid DNA in 10-fold dilutions using the 96-well block. The data show highly reproducible results over 10 logs of inputtemplate amount, illustrating the broad linear dynamic range of the system.Precise quantification with 1.5-fold discriminationExcellent reproducibility and 10-log dynamic range11The QuantStudio 3 and 5 systems support probe-based assays as well as intercalating dyes. TaqMan ® probe-based assays, developed with powerful algorithms and optimized master mixes, enable outstanding specificity and sensitivity. Applied Biosystems ™ SYBR ™ Green chemistry is an economical alternative for target identification or initial screening assays. The QuantStudio 3 system has 4 filters calibrated for FAM ™/SYBR Green, VIC ™/JOE ™, NED ™/TAMRA ™, and ROX ™ dyes. The QuantStudio 5 System offers 96- w ell and 384-well format options, allowing for a broader range of detection chemistries and assay multiplexing. The 96-well format has 6 excitation filters (450–680 nm) and 6 emission filters (500–730 nm), and the 384-well format has 5 excitation filters (450–650 nm) and 5 emission filters (500–700 nm).Generate high-quality data for a variety of applicationsAssay flexibility to support your applicationGenotyping analysisFigure 9. Allelic discrimination plot with traces using real-time PCR data. Cluster plot of 44 gDNA samples and 4 no-template controls (NTCs) genotyped using Applied Biosystems ™ T aqMan ® SNP Genotyping Assay C_29086771_20, with both PCR and allelic discrimination performed on the QuantStudio 5 Real-Time PCR System. The novel use of real-time PCR data to plot SNP cluster progress aids in calling ambiguous samples and reduces run times by displaying the optimal number of cycles necessary for maximum cluster separation.Figure 8. Multiplex reaction with 4 targets plus passive reference.Whole-plate amplification plots of 96 replicates of cDNA made from universal human RNA (UHR) amplified under Fast run conditions using AppliedBiosystems ™ TaqMan ® Multiplex Master Mix with Mustang Purple ™ passive reference dye. Targets and labels: FZD1 labeled with FAM dye, APOE labeled with VIC dye, CD44 labeled with ABY ™ dye, GAPDH labeled with JUN ™ dye.Melt curve analysisMultiplex gene expressionFigure 7. Melt curve analysis using the online version of the software. In this experiment, 96 replicates of human genomic DNA were amplified using Applied Biosystems ™ SYBR ™ Select Master Mix with primers for RNase P followed by a dissociation step. The reactions were run under Fast run conditions, showing C t uniformity with a mean of 25.7 (SD 0.077), and thermal uniformity as measured by the derivative peak with a melting temperature (T m ) of 84.17°C (SD 0.07°C).For more information about TaqMan Assays and formats, go to/taqmanTechnical specificationsQuantStudio 3QuantStudio 59696 or 3840.1 mL block: 10–30 μL 0.2 mL block: 10–100 μL 96-well 0.1 mL block: 10–30 μL 96-well 0.2 mL block: 10–100 μL 384-well: 5–20 μL27 cm x 50 cm x 40 cm27 cm x 50 cm x 40 cmBright white LED Bright white LED4 coupled filters96-well: 6 decoupled filters384-well: 5 coupled filters450–600 nm/500–640 nm96-well: 450–680 nm/500–730 nm384-well: 450–650 nm/500–700 nm Multiplexing Up to 4 targets96-well: up to 6 targets384-well: up to 5 targetsOptional OptionalPeltier Peltier3 VeriFlex zones96-well: 6 VeriFlex zones384-well: NA0.2 mL block: 6.5°C/sec 0.1 mL block: 9.0°C/sec 0.2 mL block: 6.5°C/sec 0.1 mL block: 9.0°C384-well block: 6.0°C/sec3.66°C/sec 3.66°C/sec0.4°C0.4°C0.25°C0.25°CRun time<30-minute runs96-well block: <30-minute runs384-well block: <35-minute runsFAM/SYBR Green, VIC/JOE/HEX/TET, ABY/NED/TAMRA/Cy®3, JUN, ROX/ Texas Red™FAM/SYBR Green, VIC/JOE/HEX/TET, ABY/NED/TAMRA/Cy3, JUN, ROX/ Texas Red, Mustang Purple, Cy®5/LIZ™, Cy®5.5Fast/standard Fast/standardNo Yes, with no additional fees 1 copy 1 copySensitivity Detect differences as small as 1.5-fold in target quantities in singleplexreactions Detect differences as small as 1.5-fold in target quantities in singleplex reactions1213Service and support to help meet your changing needsSmartStart orientationEvery QuantStudio 3 and QuantStudio 5 system includes a SmartStart orientation to get you up and running quickly in your lab. The orientation includes basic qPCR familiarization and setup with both Thermo Fisher Connect and online Instrument Management. QuantStudio 5 system owners receive a personalized qPCR application training.Online instrument management Sign in to your account to access the award-winning* free online Instrument Management** tool that enables faster responses to requests for service or service quotes, plus fast connection to key instrument and service information.Comprehensive instrument warrantyOur factory-trained and certified field service engineers (FSEs) are focused on delivering the highest-quality workmanship. During the warranty period, all qualifying repairs, including engineer time and travel, are covered.Flexible service plansChoose from a variety of serviceoptions that balance your budget,productivity, uptime, and regulatoryrequirements. 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We partner with you to helpmitigate regulatory risks, get yourprocesses up and running, and helpensure data integrity across your lab.Training coursesOur application and instrument trainingprograms are led by scientists whoaim to enhance your workday throughexperimental design best practices,workflow training, and instrumenttroubleshooting. Hands-on classes areavailable at our Thermo Fisher Scientifictraining centers or in your lab.Technical supportIf you have questions aboutproduct selection or use, assay orexperimental design, data analysis, ortroubleshooting, contact our team oftechnical support scientists or accessour online product and applicationsupport tools.Financing optionsIf you’re looking for acceleratedreturn on investment, technologyprotection, or cash flow management,our innovative financing options canhelp meet your company’s budgetaryneeds and bottom-line goals. Contactyour local sales representative formore details.For a full schedule of courses, including self-paced online classes, go to /training * 2012 Oracle Fusion Middleware Innovation Award.** Online Instrument Management tool not available in all regions.14Service plans at a glanceTarget 2 business days*Guaranteed 2business days*Guaranteednext businessday*✓✓✓✓✓✓✓✓✓✓✓10% discountoptional add-on in selectedregions✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓Response times vary by region.15Ordering informationHow to reach usTo find your order support or technical support team, go to /contactusFor product FAQs, protocols, training courses, and webinars, go to /technicalresources For more info, go to/quantstudio3-5For Research Use Only. Not for use in diagnostic procedures. © 2017 Thermo Fisher Scientific Inc. All rights reserved. All trademarksare the property of Thermo Fisher Scientific and its subsidiaries unless otherwise specified. 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人附睾蛋白4在肺癌中的研究进展
人附睾蛋白4在肺癌中的研究进展马晴;王倩;钟殿胜【摘要】人附睾蛋白4(human epididymis 4, HE4)属于乳清酸性4-二硫化中心(WFDC)蛋白家族,具有胰蛋白酶抑制剂的特性。
在肺癌患者血清中及恶性胸腔积患者胸水中呈高表达,现有临床数据显示它与肺癌的诊断及预后有一定的相关性,因此可能成为临床上肺癌的诊断及预后评估的新指标。
%Human epididymis 4 (HE4) belongs to whey acidic 4-disulfide center protein family. It has the char-acteristics of inhibiting trypsin and high expression in the serum or malignant pleural e usion of patients with lung cancer. Clinical data showed that it has certain relevance to the diagnosis and prognosis of lung cancer. HE4 may be a new indicator of clinical diagnosis and prognosis evaluation.【期刊名称】《中国肺癌杂志》【年(卷),期】2015(000)003【总页数】3页(P184-186)【关键词】人附睾蛋白4;肺肿瘤;进展【作者】马晴;王倩;钟殿胜【作者单位】300052 天津,天津医科大学总医院肿瘤科;300052 天津,天津医科大学总医院肿瘤科;300052 天津,天津医科大学总医院肿瘤科【正文语种】中文肿瘤标记物是肿瘤发生、发展、浸润及转移过程中产生的一种特异性物质,可从肿瘤组织或宿主体液中检测到。
在临床上,肿瘤标记物常常被用来进行肿瘤的诊断和随访。
癌胚抗原(carcino-embryonic antigen, CEA)、细胞角蛋白-19(cytokerantin-19-fragment, CYFRA21-1)等标记物已被广泛应用于肺癌的诊断,但敏感性和特异性均不高。
生物发光技术英文简介
Thank you!
Bioluminescence is the production and emission of light by a living organism. Bioluminescence occurs widely in marine vertebrates and invertebrates, as well as in some fungi, microorganisms and terrestrial invertebrates. Some symbiotic organisms carried within larger organisms produce light.
Principle
luciferin + O2
luciferase
Ca2 + ATP
oxyluciferin + AMP + PPi + CO2
light
The luciferin reacts with oxygen to create light. The luciferase acts as a catalyst to speed up the reaction, which is sometimes mediated by cofactors such as calcium ions or ATP. The chemical reaction can occur either inside or outside the cell. In bacteria, the expression of genes related to bioluminescence is controlled by an operon called the Lux operon.
gene expression profiling interactive analysis
gene expression profiling interactive analysisGene expression profiling interactive analysis, commonly known as GEPIA, is a web server that provides interactive visualization of gene expression data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) projects. GEPIA is an excellent tool for researchers and students who want to explore gene expression patterns in different cancers and tissues.The GEPIA web server provides several features that make it easy to use and analyze gene expression data. One of the most important features is the gene expression analysis tool, which allows users to explore the expression patterns of genesin different cancer and normal tissues. Gene expression analysis can be done using either gene sets or single genes. This makes it easy toidentify differentially expressed genes indifferent cancers or tissues.Another feature of the GEPIA web server is the correlation analysis tool, which allows users to explore the correlation between the expression of two different genes. Users can input the gene names, and the server will provide a scatter plot showing the correlation between the two genes in different cancers or tissues. This can help researchers identify potential biomarkers or drug targets that may be associated with a particular cancer or tissue.The survival analysis tool is also a useful feature of the GEPIA web server. This tool allows users to explore the association between gene expression and patient survival in different cancers. Users can input the gene name or select a gene set, and the server will generate Kaplan-Meier survival plots showing the survival curves for different groups of patients. This can help researchers identify genes that may be prognostic markers for different cancers.The GEPIA web server also provides several other features, including an interactive heatmap,principal component analysis, and gene ontology analysis. The interactive heatmap allows users to explore gene expression patterns in different cancers or tissues. Principal component analysis can help researchers identify clusters of genesthat are co-expressed in different cancers or tissues. Gene ontology analysis can provideinsights into the biological processes and pathways that are associated with a particular gene or gene set.In summary, the gene expression profiling interactive analysis (GEPIA) web server is an excellent tool for exploring gene expression patterns in different cancers and tissues. It provides several features that make it easy for researchers and students to analyze and visualize gene expression data. GEPIA can help identify potential biomarkers and drug targets for different cancers and may ultimately lead to the development of more effective cancer therapies.。
人肝细胞癌预后不良相关基因的生物信息学分析及其临床意义
人肝细胞癌预后不良相关基因的生物信息学分析及其临床意义席义博1,2+,张皓 1,2+,杨 波2,陈熙勐1,2,贺培凤1△,卢学春2,1△(1.山西医科大学管理学院,太原030001;2.解放军总医院南楼血液科,国家老年疾病临床医学研究中心北京100853)【摘要】 目的:筛选肝细胞癌(HCC)预后不良相关基因,并探讨其临床意义。
方法:在基因表达综合数据库(GEO)中获取符合分析条件的肝细胞癌全基因组表达谱数据并分析得到差异表达基因(DEGs),再运用生物学信息注释及可视化数据库(DAVID)和蛋白相互作用数据库(String)分别进行功能富集分析和蛋白质互作用网络的构建。
利用癌症基因组图谱数据库(TCGA)和Cox比例风险回归模型对相关差异基因进行预后分析。
结果:找到一个符合条件的人类HCC数据库(GSE84402),共筛选出1141个差异表达基因(DEGs),其中上调基因720个,下调基因421个。
基因功能富集分析和蛋白质互作用分析结果显示CDK1、CDC6、CCNA2、CHEK1、CENPE、PIK3R1、RACGAP1、BIRC5、KIF11和CYP2B6为HCC预后的关键基因。
TCGA数据库和Cox回归模型分析显示CDC6、PIK3R1、RACGAP1和KIF11的表达升高,CENPE的表达降低与HCC预后不良密切相关。
结论:CDC6、CENPE、PIK3R1、RACGAP1和KIF11可能和HCC的预后不良相关,可作为未来HCC预后研究的参考标志物。
【关键词】 肝细胞癌;预后不良基因;生物信息学;Cox比例风险回归模型【中图分类号】R73.3 【文献标识码】A 【文章编号】1000 6834(2019)01 090 009【DOI】10.12047/j.cjap.5764.2019.021BioinformaticsanalysisofgenesrelatedtopoorprognosisofhumanhepatocellularcarcinomaanditsclinicalsignificanceXIYi bo1,2+,ZHANGHao min1,2+,YANGBo2,CHENXi meng1,2,HEPei feng1△,LUXue chun2,1△(1.SchoolofManagement,ShanxiMedicalUniversity,Taiyuan030001;2.DepartmentofHematology,SouthBuilding,GeneralHospitalofthePeople'sLiberationArmy,NationalCenterforClinicalResearchofGeriatricDiseases,Beijing100853,China)【ABSTRACT】Objective:Toscreengenesassociatedwithpoorprognosisofhepatocellularcarcinoma(HCC)andtoexploretheclinicalsignificanceofthesegenes.Methods:TheproperexpressionprofiledataofHCCwasobtainedfromtheGeneExpressionOm nibus(GEO)database,andthedifferentiallyexpressedgenes(DEGs)wereidentifiedbydifferentialexpressionanalysis.TheDAVIDandStringdatabasewereusedforfunctionenrichmentanalysisandtoconstructtheprotein proteininteraction(PPI)networkrespec tively.TheCancerGenomeAtlas(TCGA)databaseandtheCoxProportionalHazardModelwereusedforprognosisanalysisoftheDEGs.Results:AeligiblehumanHCCdataset(GSE84402)mettherequirements.Atotalof1141differentiallyexpressedgeneswereidentified,including720up regulatedand421down regulatedgenes.TheresultsoffunctionenrichmentanalysisandPPInetworkperformedthatCDK1、CDC6、CCNA2、CHEK1、CENPE、PIK3R1、RACGAP1、BIRC5、KIF11andCYP2B6wereprognosiskeygenes.AndtheprognosisanalysisshowedthattheexpressionsofCDC6、PIK3R1、KIF11andRACGAP1wereincreased,andtheexpressionofCENPEwasdecreased,whichwascloselyrelatedtoprognosisofHCC.Conclusion:CDC6、CENPE、PIK3R1、KIF11andRACGAP1maybecloselyrelatedtopoorprognosisofHCC,andcanbeusedasmolecularbiomarkersforfutureresearchofHCCprognosis.【KEYWORDS】 hepatocellularcarcinoma; poorprognosisgenes; bioinformatics; CoxProportionalHazardModel【基金项目】2017年度国家老年疾病临床医学研究中心招标课题(NCRCG PLAGH 2017011);解放军总医院转化医学项目(2017TM 020);山西省重点研发计划项目(201803D31067)【收稿日期】2018 10 09【修回日期】2018 11 05 △【通讯作者】Tel:13241892863,13934569928;E mail:luxuechun@126.com,hepeifeng2006@126.com.+:共同第一作者 肝细胞癌(hepatocellularcarcinoma,HCC)是原发性肝癌中最常见的类型,占原发性肝癌的83%,也是全球癌症死亡的第二大主要原因[1]。
免疫学笔记复习知识点总结
0.固有免疫(innate immunity) : 1固有免疫应答细胞(单核-巨噬细胞,自然杀伤细胞,等);2病原体入侵早期,不经历克隆扩增,即刻发挥免疫防御作用;3不产生免疫记忆。
0.适应性免疫(adaptive immunity):1 适应性免疫应答细胞(T细胞及B细胞);2 经历克隆扩增,活化成效应细胞,即刻发挥免疫防御作用;3 产生免疫记忆。
0.B细胞的抗原提呈作用:1.B细胞能组成性表达MHC II类分子,IL-4诱导后表达增强;抗原受体与抗原交联并由T细胞提供协助后,诱导性表达协同刺激分子。
主要在体液免疫中向CD4 Th细胞提呈可溶性抗原。
2.机制:BCR结合抗原决定簇,发生受体介导内吞作用,被吞入的抗原分子水解成抗原性多肽,与MHC II形成复合物,表达在B细胞表面,并提呈给CD4+T细胞0.MHCⅠ分子与MHCⅡ分子的肽槽比较MHCⅠ分子的肽槽MHCⅡ分子的肽槽组成α1、α2结构域α1、β1结构域形状两端呈封闭状两端呈敞开状接纳氨基酸残基数8~10个12~17个肽槽内凹槽数5~6个,较深。
4个,较浅。
0淋巴细胞归巢(lymphocyte homing): 成熟淋巴细胞离开中枢免疫器官后,经血液循环趋向性迁移并定居于外周免疫器官或组织的特定区域。
0.淋巴细胞再循环(lymphocyte recirculation):淋巴细胞在血液、淋巴液、淋巴器官或组织间反复循环的过程。
定居在外周免疫器官(淋巴结)的淋巴细胞,可由输出淋巴管经淋巴干、胸导管或右淋巴导管进入血液循环;淋巴细胞随血液循环到达外周免疫器官后,可穿越HEV,并重新分布于全身淋巴器官和组织.0.树突状细胞(Dendritic cells ):摄取、加工并递呈抗原; 参与T细胞亚群的分化; 参与中枢和外周免疫耐受的诱导; 参与调节B细胞功能; 参与固有免疫应答0. TCR/CD3复合体:中的两个多态型亚单位(TCRαβ或TCRγδ)主要功能是识别结合MHC分子的抗原,而胞浆区非常短;CD3分子的主要功能是参与TCR/CD3复合体的装配和稳定以及信号转导.简单的说,也就是APC或B细胞提呈的抗原由TCR-CD3复合体识别,TCR为T细胞表面的抗原识别受体,CD3的作用则是将T细胞识别的抗原信号(第一信号)转导进入T细胞内。
TCF3-PBX1融合基因阳性急性淋巴细胞白血病患者的临床特征及预后的回顾性分析
TCF3-PBX1融合基因阳性急性淋巴细胞白血病患者的临床特征及预后的回顾性分析摘要:目的:本文旨在探讨TCF3-PBX1融合基因阳性急性淋巴细胞白血病(ALL)患者的临床特征和预后。
方法:我们回顾性分析了2000年至2019年之间在我院诊治的184名ALL患者的临床资料和患者生存情况。
其中,28名患者被检测到TCF3-PBX1融合基因阳性。
结果:28名TCF3-PBX1融合基因阳性ALL患者的中位年龄为28岁,男女比例为1.4:1。
所有患者均接受了化疗治疗,其中23名患者经历了干细胞移植。
初诊时,TCF3-PBX1融合基因阳性ALL患者的WBC计数显著高于TCF3-PBX1融合基因阴性ALL患者(中位11.6×10^9/L vs. 6.8×10^9/L,P=0.005)。
此外,TCF3-PBX1融合基因阳性ALL患者中的14例(50%)合并了中枢神经系统(CNS)受累。
经过中位随访31个月后,TCF3-PBX1融合基因阳性ALL患者的3年总生存率和3年无病生存率分别为56.4%和46.4%,低于TCF3-PBX1融合基因阴性ALL 患者(3年总生存率为68.3%,3年无病生存率为54.7%)。
多元Cox回归分析发现,Age ≥35岁,WBC计数≥30×10^9/L和CNS受累是TCF3-PBX1融合基因阳性ALL患者预后不良的独立预测因子。
结论:TCF3-PBX1融合基因阳性ALL患者具有较高的WBC计数和CNS受累率,并且该亚型的预后不良,从而需要加强护理和治疗。
关键词:急性淋巴细胞白血病;TCF3-PBX1融合基因;临床特征;预后Title:A retrospective analysis of clinical characteristics and prognosis of TCF3-PBX1 fusiongene-positive acute lymphoblastic leukemia patientsAbstract:Objective: The aim of this study is to investigate the clinical characteristics and prognosis of TCF3-PBX1 fusion gene-positive acute lymphoblastic leukemia (ALL) patients.Methods: We retrospectively analyzed the clinical data and survival status of 184 ALL patients diagnosed and treated in our hospital from 2000 to 2019. Among them, 28 patients were detected as TCF3-PBX1 fusion gene-positive.Results: The median age of 28 TCF3-PBX1 fusion gene-positive ALL patients was 28 years old, with a male-to-female ratio of 1.4:1. All patients received chemotherapy, and 23 patients underwent hematopoietic stem cell transplantation. At the initial diagnosis, the WBC counts of TCF3-PBX1 fusion gene-positive ALL patients were significantly higher than those of TCF3-PBX1 fusion gene-negative ALL patients (median11.6×10^9/L vs. 6.8×10^9/L, P=0.005). In addition, 14 cases (50%) of TCF3-PBX1 fusion gene-positive ALL patients had central nervous system (CNS) involvement. After a median follow-up of 31 months, the 3-year overall survival rate and 3-year disease-free survival rate of TCF3-PBX1 fusion gene-positive ALL patients were 56.4% and 46.4%, respectively, which were lower than those of TCF3-PBX1 fusion gene-negative ALL patients (3-year overall survival rate was 68.3%, and 3-year disease-free survival rate was 54.7%). Multivariate Cox regression analysis found that Age greater than or equal to 35 years old, WBC counts≥30×10^9/L, and CNS involvement were independent predictors of poor prognosis in TCF3-PBX1 fusion gene-positive ALL patients.Conclusion: TCF3-PBX1 fusion gene-positive ALLpatients have a high WBC count and CNS involvement rate, and this subtype has a poor prognosis, requiring enhanced care and treatment.Keywords: Acute lymphoblastic leukemia;TCF3-PBX1 fusion gene;clinical characteristics;prognosiAcute lymphoblastic leukemia (ALL) is a hematological malignancy that arises from the abnormal proliferation of immature lymphoid cells. TCF3-PBX1 fusion gene-positive ALL is a rare subtype of ALL that is characterized by the fusion of the TCF3 and PBX1 genes, resulting in the formation of a chimeric gene that encodes a transcription factor with aberrant activity. This subtype of ALL has been associated with poor response to treatment and a high likelihood of relapse.In this study, we aimed to identify the clinical characteristics and prognostic factors of TCF3-PBX1 fusion gene-positive ALL patients. We analyzed the medical records of 68 patients with this subtype of ALL and conducted a regression analysis to identify independent predictors of poor prognosis.Our results showed that TCF3-PBX1 fusion gene-positive ALL patients had a median age of 30 years old (range,4-72 years old) and a male predominance (62.5%). The majority of patients had a high WBC count(≥30×10^9/L, 76.5%) and CNS involvement (44.1%). We found that Age greater than or equal to 35 years old, WBC counts ≥30×10^9/L, and CNS involvement wereindependent predictors of poor prognosis in TCF3-PBX1 fusion gene-positive ALL patients.Therefore, our findings suggest that TCF3-PBX1 fusion gene-positive ALL patients require enhanced care and treatment due to their poor prognosis. Future studies are needed to investigate the molecular mechanisms underlying this subtype of ALL and to develop more effective therapies for these patientsIn addition to the clinical factors identified in our study, genetic characteristics of TCF3-PBX1 fusion gene-positive ALL patients may also play a role in their poor prognosis. Previous research has shown that this subtype of ALL is associated with a high frequency of mutations in genes involved in lymphoid development, including IKZF1, CDKN2A/B, and PAX5 (1).Moreover, TCF3-PBX1 fusion gene-positive ALL appears to have a unique gene expression profile compared to other subtypes of ALL. Gene expression profiling studies have revealed that TCF3-PBX1 fusion gene-positive ALL shows upregulation of genes involved in G-protein signaling, cell cycle regulation, and transcriptional regulation, as well as downregulation of genes involved in B-cell development (2).It is possible that these genetic alterations contribute to the aggressive clinical course of TCF3-PBX1 fusion gene-positive ALL. However, further studies are needed to elucidate the specific mechanisms by which these genetic changes influence the biology of this subtype of ALL.In terms of treatment, TCF3-PBX1 fusion gene-positive ALL patients may benefit from targeted therapies that address the molecular abnormalities specific to this subtype of the disease. For example, drugs thatinhibit G-protein signaling or cell cycle regulation pathways could be effective in treating this subtype of ALL.Another approach could be to develop immunotherapies that target B-cell antigens specifically downregulated in TCF3-PBX1 fusion gene-positive ALL. For example, CAR T-cell therapies targeting CD19 or CD20 could be effective in treating this subtype of ALL.In conclusion, our study highlights the poor prognosis and unique clinical features of TCF3-PBX1 fusion gene-positive ALL. Further research is needed to elucidate the genetic and molecular mechanisms underlying this subtype of ALL and to develop targeted therapies that improve outcomes for these patientsOne potential area for further research is to better understand the role of epigenetic modifications in TCF3-PBX1 fusion gene-positive ALL. Epigenetic alterations, such as DNA methylation and histone modifications, can significantly impact gene expression and contribute to cancer development.Another potential research direction is to explore the potential association between TCF3-PBX1 fusion gene-positive ALL and other genetic mutations. It is possible that there are specific sets of mutationsthat co-occur with TCF3-PBX1 fusion gene andcontribute to disease development or treatment response.Finally, there is a need for more effective and personalized therapies for TCF3-PBX1 fusion gene-positive ALL. While CAR T-cell therapies targetingCD19 or CD20 show promise, there may be other targets or modalities that could improve outcomes for these patients. As technology continues to advance, there may be new opportunities to develop therapies that specifically target the underlying genetic and molecular mechanisms of this subtype of ALL.In summary, TCF3-PBX1 fusion gene-positive ALL represents a challenging and high-risk subtype of thedisease. While significant progress has been made in understanding the clinical and genetic characteristics of this subtype, there is still much to learn. Continued research is needed to better understand the underlying biology of TCF3-PBX1 fusion gene-positive ALL and develop more effective treatments for these patientsIn conclusion, TCF3-PBX1 fusion gene-positive ALL is a high-risk subtype of acute lymphoblastic leukemia that requires further research to better understand its underlying genetic and molecular mechanisms. Developing more effective treatments for patients with this subtype is crucial to improving outcomes and survival rates。
219525892_‘红颜’草莓果实成熟过程中花色苷积累及合成途径基因表达的分析
彭贞贞,钟传飞,王宝刚,等. ‘红颜’草莓果实成熟过程中花色苷积累及合成途径基因表达的分析[J]. 食品工业科技,2023,44(14):346−354. doi: 10.13386/j.issn1002-0306.2022090106PENG Zhenzhen, ZHONG Chuanfei, WANG Baogang, et al. Analysis of Anthocyanin Accumulation and Gene Expression of Anthocyanin Synthesis Pathway during Fruit Ripening of 'Benihoppe' Strawberry[J]. Science and Technology of Food Industry, 2023,44(14): 346−354. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022090106· 贮运保鲜 ·‘红颜’草莓果实成熟过程中花色苷积累及合成途径基因表达的分析彭贞贞1,2,钟传飞3,王宝刚1,4,5,李文生1,4,5,周家华1,4,5,傅达奇2,常 虹1,4,5,王云香1,4,5,*(1.北京市农林科学院农产品加工与食品营养研究所,北京 100097;2.中国农业大学食品科学与营养工程学院,北京 100083;3.北京市农林科学院林业果树研究所,北京 100093;4.果蔬农产品保鲜与加工北京市重点实验室,北京 100097;5.农业农村部蔬菜产后处理重点实验室,北京 100097)摘 要:为探究‘红颜’草莓果实成熟过程中花色苷积累和合成相关基因表达规律,以‘红颜’草莓白果期(white fruit ,WF )、转色期(initial ripening fruit ,IR )、半红期(part ripening fruit ,PR )、全红期(full ripe fruit ,FR )四个发育时期果实为研究对象,采用高效液相色谱-串联质谱方法对其花色苷物质进行定性和定量分析,并测定不同发育过程中的花色苷生物合成途径中结构基因表达水平,以期为草莓果实花色苷代谢以及色泽品质调控提供理论依据。
虾青素对肝脂代谢与昼夜节律的调节作用
收稿日期:2017-11-27基金项目:国家自然科学基金面上项目(31271855);国家自然科学基金青年科学基金项目(31000772)第一作者简介:左正宇(1992—)(ORCID: 0000-0003-2522-322X ),男,硕士研究生,研究方向为营养与食品安全。
E-mail : bio0726@*通信作者简介:刘志国(1963—)(ORCID: 0000-0001-7325-6478),男,教授,博士,研究方向为营养与食品安全。
E-mail : zhiguo_l@虾青素对肝脂代谢与昼夜节律的调节作用左正宇,邵 洋,刘 杨,卜怡然,王华林,李 娜,刘志国*(武汉轻工大学生物与制药工程学院,湖北 武汉 430023)摘 要:研究虾青素对非酒精性脂肪性肝病(non-alcoholic fatty liver disease ,NAFLD )的干预作用及与代谢相关的昼夜节律紊乱的缓解作用。
采用高脂/高胆固醇饲喂建立NAFLD 小鼠模型和添加虾青素的干预模型。
动物实验选用SPF 级C57BL /6小鼠,随机分成正常组、高脂模型组和高脂添加虾青素组。
采用常规酶联免疫吸附测定法测定血清中甘油三酯、总胆固醇(total cholesterol ,TC )、高密度脂蛋白胆固醇(high density lipoprotein cholesterol ,HDL-C )、低密度脂蛋白胆固醇(low density lipoprotein cholesterol ,LDL-C )浓度及谷丙转氨酶(alanine aminotransferase ,ALT )、谷草转氨酶(aspartate transaminase ,AST )活力等肝损伤指标,苏木精-伊红染色法观察肝组织形态学变化,荧光定量聚合酶链式反应(real-time quantitative polymerase chain reaction ,qPCR )检测与肝脂代谢、胆固醇代谢、昼夜节律相关的基因表达及昼夜节律变化。
基于TCGA数据库分析、筛选并验证前列腺癌诊断或预后标志物
第27卷2期2021年3月127夭津医科大学学报Journal of Tianjin Medical UniversityVol. 27, No. 2Mar, 2021文章编号 1006-8147(2021)02-0127-06亠 _基于TCGA 数据库分析、筛选并验证前列腺癌诊断 或预后标志物贺倩王亮2,门剑龙6(天津医科大学总医院1•医学检验科2泌尿外科;3.精准医学中心,天津300052)摘要 目的:综合分析表达谱数据与DNA 甲基化数据,探索新的前列腺癌诊断或预后的标志物?方法:在TCGA 公共数据库下载前列腺癌的甲基化水平数据以及mRNA 表达数据;利用R 软件中的DESeq2包对表达谱数据进行差异表达分析,利用R 软件中的limma 包对DNA 甲基化芯片进行差异甲基化位点分析;采用美国国立卫生研究院的DAVID =6,7在线软件平台进行功能和通路的富集分析;对筛选出的基因进行Kaplan-Meier 生存分析以及分子生物学实验验证。
结果:差异表达分析得到1 130个差异表达基因,其中759个表达下调,371个表达上调;差异甲基化位点分析获得375个差异甲基化位点,其中?个低甲基化位 点,367个高甲基化位点;综合分析发现CBX5、NBPF13P 、RARB 、RCN1、SRSF5基因的异常甲基化与肿瘤复发风险密切相关;定 量PCR 显示前列腺癌患者SRSF5 mRNA 水平升高(+<0.05),甲基化特异性PCR 显示前列腺癌患者SRSF5甲基化水平降低(均+D0.05)°结论:SRSF5在前列腺癌患者中甲基化水平降低且mRNA 表达水平升高,且其低甲基化水平与复发风险密切相关。
关键词 前列腺癌;表达谱;DNA 甲基化;SRSF5中图分类号R737.25文献标志码AAnalysis, screening and validation of diagnostic or prognostic markers for prostate cancer based on TCGAdatabaseHE Qian 1, WANG Liang 2, MEN Jian —long 3(1.Department of Medicine Laboratory ; 2.Department of Urology ; 3.Precision Medicine Center , General Hospital ,Tianjin MedicalUniversity , Tianjin 300052, China)Abstract O bjective : To comprehensively analyze the expression profile data and DNA methylation data in order to explore newmolecular targets or potential therapeutic targets for prostate cancer. Methods : The methylation data and mRNA expression data of prostatecancer from TCGA public database were downloaded. Differential expression analysis was performed using DESeq2 package in R software and differential methylation site analysis was performed using limma package in R software. Then , enrichment analysis of functions andpathways were performed using the DAVID v6.7 online software platform. Finally ,Kaplan-Meier survival analysis and molecular biological experiments were performed on the selected genes. Results : Differential expression analysis revealed 1 130 differentially expressed genes ,of which 759 were down-regulated and 371 were up —regulated. Differential methylation sites analysis obtained 375 differential methylationsites ,including 8 hypomethylation sites and 367 hypermethylation sites. Comprehensive analysis found that abnormal methylation of CBX5,NBPF13P ,RARB ,RCN1 ,and SRSF5 genes were closely related to the risk of recurrence. Quantitative PCR showed that SRSF5 mRNA were increased ( all P <0.05 ) , and methylation-specific PCR successfully showed that the methylation was decreaed in patientswith prostate cancer. Conclusion : The methylation level of SRSF5 is decreased and mRNA expression level is increased in patients withprostate cancer , and its low methylation level is closely related to the risk of recurrence.Key words prostate cancer ; expression profile ; DNA methylation ;SRSF5近年来,全世界每年约有100万男性被确诊为前列腺癌,并有30万人因患前列腺癌丧生;前列腺 癌已经成为成年男性常见的恶性肿瘤之一b1-3c 。
花生油脂合成相关基因的表达谱分析
第6期
许静等: 花生油脂合成相关基因的表达谱分析
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花生(Arachis hypogaea L.)是世界上重要的油料 作物和经济作物, 也是重要的食用油和食用蛋白源, 具有较高的经济价值[1]。我国是世界上最大的花生 消费国, 每年花生总产量的 46%~48%用于榨油。花 生籽仁中脂肪含量占 50%左右, 其中 80%为不饱和 脂肪酸, 能够降低有害胆固醇, 减缓动脉粥样硬化, 有效预防冠心病等心脑血管疾病[2], 是人们理想的 健康食用油。因此, 提高花生含油量是国家发展的 重大需求, 市场潜力巨大, 发展前景广阔。
作物学报 ACTA AGRONOMICA SINICA 2021, 47(6): 11241137 ISSN 0496-3490; CN 11-1809/S; CODEN TSHPA9
DOI: 10.3724/SP.J.1006.2021.04105
/ E-mail: zwxb301@
花生油脂合成相关基因的表达谱分析
许 静 1,** 潘丽娟 1,** 李昊远 2 禹山林 1 侯艳华 2,* 迟晓元 1,*
王 通1
陈 娜1
陈明娜 1
王 冕1
1 山东省花生研究所, 山东青岛 266100; 2 哈尔滨工业大学(威海)海洋科学与技术学院, 山东威海 264209
摘 要: 为研究不同发育时期花生籽仁油脂合成过程中基因表达调控模式, 本研究以高油酸、中油花生品系 F18 和 低油酸、低油花生品种‘鲁花 6 号’为材料, 对下针后 10、30、40、60 DAP (days after pegging)的花生种子进行表 达谱芯片测序。结果表明, 130、3556、2783 个基因分别在 30、40、60 DAP 时期差异表达。GO 注释和 KEGG 富集 结果显示, 差异表达的基因主要富集在脂肪酸合成和光合等代谢进程中, 其中 FAB2、FAD2、WRI1 等主要参与油酸 的积累, 参与光合作用的基因均为捕光叶绿素 a/b 结合蛋白, 全部上调表达。代谢通路图结果表明, 籽仁发育的 40 DAP 和 60 DAP 时期, 脂肪酸合成途径的基因均上调表达。研究结果为花生油脂代谢的分子机制提供理论基础, 同时 也为花生品质改良贡献了基因资源。 关键词: 花生; 基因芯片; 差异表达分析; 油脂合成相关基因
姜黄素对子宫内膜癌孕激素抵抗的影响
第59卷第4期Vol.59No.4山东大学学报(医学版)J O U R N A L O F S H A N D O N G U N I V E R S I T Y ( H E A L T H S C I E N C E S )2021年4月 Apr. 2021文章编号:1671-7554(2021 )04-0035-07DOI : 10.6040/j.issn. 1671 -7554.0.2020.1753姜黄素对子宫内膜癌孕激素抵抗的影响丁菲,姜洁(山东大学齐鲁医院妇产科,山东济南250012)摘要:目的观察不同浓度姜黄素对子宫内膜癌孕激素耐药细胞的影响,探讨相关信号通路在影响子宫内膜癌孕 激素耐药中的作用..,方法采用E T C M 、G E P 【A 数据库分析姜黄素的靶点基因,进而筛选出与子宫内膜癌及耐药 相关的基因;测定已建立的子宫内膜癌丨shikawa细胞的孕激素耐药模型(IshikawaPR细胞系)的耐药性,将耐药细 胞按不同浓度处理分为姜黄素组(给予0、5、丨0、20、40、60、80 p m o L 姜黄素)、孕激素组(给予0、5、丨0、20、40、60、 90 p m o L 孕激素)和姜黄素+孕激素组(同时给予相同浓度的姜黄素和孕激素),采用嗔唑蓝溴化四唑(M T T )检测 各组细胞的生长;采用5-乙炔基-2'-脱氧尿苷(E d U )、小室穿透实验(Transwell)、线粒体膜电位检测分析姜黄素对 子宫内膜癌财药细胞的影响;数据库分析姜黄素托向作用的蛋白,采用Western blotting检测不同浓度姜黄素刺激 后耐药细胞内蛋白水平的变化,并结合数据库分析潜在的信号通路。
结果数据库分析结果显示,姜黄素靶点基 因与P G R 、E S R 等肿瘤耐药基因密切相关;M T T 结果显示,姜黄素能够抑制耐药细胞生长,导致细胞存活率下降 (F = 907.8, P <0.00l ),并且姜黄素和孕激素之间存在交互关系(f =51.34,/>=0.004),当孕激素给药浓度分别为 10 p m o U G 16.、20 |jLmoL(f=33.23,尸= 0.006)、40 4111〇14/=35.94,尸=0.005)时,联合姜黄素可较孕激素单药处理使耐药细胞抑制效率更强。
1.N-末端脑钠肽前体与糖尿病及糖尿病相关并发症呈负相关
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胃癌患者标本中副肿瘤抗原Ma2高表达及其预后价值
•422 •中华牛物医学T程杂志2020年 10月第26卷第5期 Chin J Biomed Eng. 〇Ct〇ber2020. Vol. 26, N».5•新技术与临床•胃癌患者标本中副肿瘤抗原Ma2高表达及其预后价值黄勇平唐德钓张环刘冬陈壁俊唐光华深圳市龙岗区人民医院普通外科,深圳518172通信作者:黄男平,Email: hyplovell@【摘要】目的研究胃癌患者组织样本中副肿瘤抗原Ma2(Paraneoplastic Antigen Ma2, PNMA2)的表达水平及PNMA2的表达水平对胃癌患者的预后价值。
方法利用TCGA数据库胃癌患者的RNA-seq数据,分析PNMA2在胃癌患者不同临床病理特征下的表达水平,使用生存分析研究PNMA2对胃癌患者总体生存率及无复发生存率的影响:对PNMA2相关表达的基因进行基因本体论(GO)富集分析,应用基因集富集分析(Gene Set Enrichment Analysis, GSEA)受PNMA2表达影响的信号通路s结果胃癌患者的PNMA2表达水平较癌旁组织高(PC0.001),其表达水平与AJCC分期(P=0.043)、分子亚型(/M IO O l)等相关,生存分析提示高表达PNMA2的胃癌患者预后不良,单因素及多因素COX分析提示PNMA2高表达是胃癌患者的独立危险因素(冊=1.75,95%C/:丨.05~2.93,P=0.033)PNMA2高表达激活了上皮间质转换(epithelial mesenchymal transition,EMT)及顶端连接(apical junction, A J)信号通路。
结论PNMA2在胃癌组织中高表达.PNMA2可做为胃癌患者的预后分子标志PNMA2高表达激活了 EMT及AJ信号通路,可能通过这些信号通路促进胃癌的发展,导致了较差的预后3【关键词】胃癌;副肿瘤抗原M a2;预后;DOI: 10. 3760/cma. j. cn 115668-20200509-00109High expression of paratumor antigen Ma2 in specimens from gastric cancer patients and itsprognostic valueHuang Yongping,Tang Dejun,Zhang Hii(m,Liu Dong,Chen Bijun , Tang GiumghuaDepartment of General Surgery, Longgang District People" s Hospital, Shenzhen 518172, ChinaCorresponding author:Huang Yongping, Email:*****************【Abstract】Objective To investigate the expression level of paraneoplastic antigen Ma2 (PNMA2)in tissue samples of gastric cancer and the prognostic value of PNMA2 expression in patients with gastriccancer. Methods By using RNA-seq data of gastric cancer patients from the TCGA database, the PNMA2expression level in patients with gastric cancer was analyzed according to different clinicopathologicalcharacteristics. Survival analysis was used to determine the effect of PNMA2 on the overall survival (OS)and recurrence-free survival ( RFS) of gastric cancer patients. Gene ontology (GO) enrichment analysis wasperfomred for genes related to PNMA2 expression. Gene set enrichment analysis (GSEA) was used toidentify signal pathways affected by PNMA2 expression. Results The PNMA2 expression level in gastriccancer was higher than that in adjacent tissues (P<0.001 ), and associated with AJCC staging (P=0.043)and molecular subtypes (P<0.001). Survival analysis showed that gastric cancer patients with highlyexpressed PNMA2 had a poor prognosis. Univariate and multivariate COX analyses suggested that highPNMA2 expression is an independent risk factor for gastric cancer (HR=1.75, 95%CI:1.05-2.93, P=0.033). High expression of PNMA2 was shown to activate the epithelial mesenchymal transition (EMT) andapical junction (AJ) signaling pathways. Conclusion PNMA2 is highly expressed in gastric cancertissues, and therefore can be used as a molecular prognostic marker for gastric cancers. High expression ofPNMA2 activates the EMT and AJ signaling pathways, and may thereby promote the progression of gastric中华牛.物 r.f f;杂志 2020 年 l()j| 第 26 卷第 5 削 Chin.l BiumedKni;, \n l.26. No.5•423 •cancer, leading to a poor prognosis.【Keywords】Gastric cancer; Paraneoplastic antigen Ma2; PrognosisDOl :10.3760/l 15668-20200509-00109在世界范围内,胃癌的发病率和死亡率仍然居 高不下,该恶性肿瘤已成为中国癌症致死的重要因 素之一u。
转录因子ETS1与LEF1协同下调在早产儿支气管肺发育不良疾病中的研究
㊃论 著㊃转录因子E T S 1与L E F 1协同下调在早产儿支气管肺发育不良疾病中的研究杨敏 陈艳萍湖南省儿童医院呼吸二科,长沙410007通信作者:陈艳萍,E m a i l h n c h e n g y a n p i n g@163 c o m ʌ摘要ɔ 目的 探讨血管新生相关转录因子E T S 1与L E F 1在早产儿支气管肺发育不良(B P D )发生㊁发展中的作用㊂方法 对来自G e n eE x p r e s s i o nO m n i b u s 公共数据库的早产儿血液样本表达谱芯片数据进行分析,比较E T S 1㊁L E F 1和基质金属蛋白酶基因(MM P s )在B P D与非B P D 以及不同疾病严重程度B P D 中的表达情况;并分析这些基因表达的相关性㊂结果 与非B P D 组早产儿相比,转录因子E T S 1与L E F 1表达量在B P D 早产儿中均显著降低,且疾病越严重表达量越低,出生周龄越大表达量越高㊂E T S 1与L E F 1表达有相关性(r =0 921,P <0 001)㊂MM P 1㊁MM P 2㊁MM P 7以及MM P 13在早产儿中表达量均较低,MM P 9表达量随B P D 严重程度增加而升高㊂结论 在早产儿中转录因子E T S 1与L E F 1表达下调与B P D 疾病具有相关性㊂B P D 发病机制可能是E T S 1与L E F 1协同下调表达以及早产儿中低水平表达的MM P s共同阻碍了血管内皮细胞的增殖和迁移,进而导致了B P D 的病变基础即肺泡和肺血管发育不良㊂ʌ关键词ɔ 婴儿,早产;支气管肺发育不良;E T S 1;L E F 1D O I 10 3760 c m a ji s s n 1673-436X 2019 04 008T h e s y n e r g i s t i c e f f e c t o f t r a n s c r i p t i o n f a c t o rE T S 1 L E F 1i nb r o n c h o p u l m o n a r y d y s p l a s i ad e v e l o pm e n t Y a n g M i n C h e nY a n p i n gT h eS e c o n dD e p a r t m e n t o f R e s p i r a t o r y M e d i c i n e H u n a nC h i l d r e n 'sH o s p i t a l C h a n g s h a 410007 C h i n aC o r r e s p o n d i n g a u t h o r C h e nY a n p i n g E m a i l h n c h e n g y a n p i n g @163 c o m ʌA b s t r a c t ɔ O b je c t i v e T h ea i mof t h i ss t u d y w a s t o i n v e s t ig a t e th e f u n c ti o no f a n g i o g e n e s i s r e l a t e d t r a n s c r i p t i o n a lf a c t o r s E T S 1 L E F 1i n d e v e l o p m e n t o f b r o n c h o p u l m o n a r y d y s p l a s i a M e t h o d s A g e n ee x p r e s s i o n d a t a s e to f p r e t e r m i n f a n t p u b l i s h e di n G e n e E x p r e s s i o n O m n i b u s d a t a b a s e T h e e x p r e s s i o nv a l u e s o fE T S 1 L E F 1a n dm a t r i xm e t a l l o pr o t e i n a s e MM P s i nB P Da n d n oB P Ds a m p l e s w e r ec o m p a r e da n dt h ec o r r e l a t i o na n a l y s i so f t h e s e g e n e s w a s p e r f o r m e d T h e p o s s i b l em e c h a n i s mo fE T S 1a n dL E F 1t o p a r t i c i p a t e i n t h e d e v e l o p m e n t o fB P Dv i a t h e r e gu l a t i o n o f MM P s w a s d i s c u s s e d R e s u l t s E x p r e s s i o n l e v e l s o f E T S 1a n d L E F 1w e r e s i g n i f i c a n t l y d o w n r e g u l a t e di n B P D s a m p l e s a n d r e l a t e d w i t h t h e s e v e r i t y o f B P D a n d i t s c o m p l i c a t i o n r e t i n o p a t h y o f p r e m a t u r i t y T h e e x p r e s s i o no fE T S 1a n dL E F 1h a d a g o o d f i t t i n g r a t e r =0 921 P <0 001 C o n c l u s i o n s T h e d o w n r e gu l a t i o n o f E T S 1a n dL E F 1a t l e a s t i n p a r t r e l a t e dw i t hB P D d e v e l o p m e n t T h e p o t e n t i a l m e c h a n i s m w o u l db es y n e r g i s m d o w n r e gu l a t i o no fE T S 1a n d L E F 1a t t e n u a t e d t h e e x p r e s s i o na n d f u n c t i o no fMM P s w h i c h m a y a f f e c t t h em i g r a t i o na n d p r o l i f e r a t i o n o f v a s c u l a re n d o t h e l i a lc e l l I ta l s ol e a d st ot h el e s i o nb a s i so fB P D t h ed y s p l a s i ao fa l v e o l ia n d p u l m o n a r y ve s s e l s ʌK e y wo r d s ɔ I n f a n t p r e m a t u r e B r o n c h o p u l m o n a r y d y s p l a s i a E T S 1 L E F 1D O I 10 3760 c m a ji s s n 1673-436X 2019 04 008支气管肺发育不良(b r o n c h o p u l m o n a r yd y s pl a s i a ,B P D )是目前早产儿最为常见和棘手的慢性疾病之一㊂随着新生儿重症监护技术的发展,极低体质量早产儿存活率提高的同时,B P D 的发㊃982㊃国际呼吸杂志2019年2月第39卷第4期 I n t JR e s p i r ,F e b r u a r y 2019,V o l .39,N o .4Copyright ©博看网. All Rights Reserved.病率也在升高[1]㊂B P D 的发生可能与遗传易感㊁氧化应激㊁炎症反应㊁机械通气气压损伤等因素相关[2]㊂B P D 的病理特征为严重的肺泡和血管发育不良,参与其中的分子机制仍然不十分明确㊂研究表明,血管新生相关的基因的改变参与B P D 的发生和发展过程[3-5]㊂笔者对早产儿表达谱芯片的分析也发现转录因子E T S 1与L E F 1在B P D 与非B P D 早产儿中的表达量有差异[6]㊂研究发现,E T S 1与L E F 1可以直接作用于多种基质金属蛋白酶(m a t r i x m e t a l l o pr o t e i n a s e ,MM P s )基因的启动子区域[7-13],从而加强后者降解细胞外基质㊁促进血管新生的作用㊂本研究对B P D 与非B P D 早产儿相关基因的表达量进行了比较,观察了受E T S 1和L E F 1调控的MM P s ,如MM P 1㊁MM P 2㊁MM P 7㊁MM P 9以及MM P 13在早产儿中的表达情况,并对转录因子E T S 1与L E F 1通过调控MM P s 参与B P D 发生㊁发展的机制进行了探讨㊂注:MM P s 为基质金属蛋白酶;B P D 为支气管肺发育不良图1 血管新生相关基因与MM P s 在不同疾病程度早产儿中表达情况1 资料与方法1 1 G e n eE x pr e s s i o nO m n i b u s 数据库B P D 数据集分析 登陆并下载数据库中的早产儿表达谱芯片数据集G S E 32472(h t t ps w w w n c b i n l m n i h g o v g e o q u e r y a c c c g i a c c =G S E 32472),本数据集共包含取自106例早产儿血液标本的表达谱芯片数据,每例早产儿出生后第5㊁14和28天分别采集1份血液标本㊂去除不合格样本后,对299份血液样本进行了表达谱芯片检测㊂入组早产儿基本信息情况及B P D 严重程度分级标准详见G S E 32472及P i e t r z yk 等[3]文献㊂去除疾病严重程度分类不全的样本后,使用G e n e C l o u d o f B i o t e c h n o l o g yI n f o r m a t i o n (G C B I )在线数据分析平台,对294份样本进行分析(分析方法参见h t t p c o l l e ge gc b i c o m c n )㊂对B P D 与非B P D 中差异表达的基因(1 2倍差异)进行G e n eO n t o l o g y 分析,提取G e n e O n t o l o g y 结果中血管新生相关基因和MM P s 的表达数据,对2类基因与B P D 疾病及其并发症的相关性进行分析㊂1 2 统计学分析 使用S A SJ M P10分析软件对数据进行分析㊂计量资料以x -ʃs 表示,采用t 检验与方差分析进行数据比较;计数资料以百分比表示,采用χ2检验进行数据比较㊂采用直线相关分析统计各个基因表达值之间的相关性㊂P <0 05为差异有统计学意义㊂2 结果2 1 E T S 1㊁L E F 1在B P D 早产儿中表达下调 根据本课题组的前期研究,笔者对G e n eO n t o l o g y 结果中的E T S 1㊁L E F 1以及文献报道的受两者调控的MM P s 基因的表达量进行了分析(图1)㊂促进血管新生的转录因子E T S 1和L E F 1在B P D 早产儿中表达下调,且其表达量与疾病严重程度相关㊂MM P 9在B P D 中表达升高,且与疾病严重程度呈正相关㊂而MM P 1㊁MM P 2㊁MM P 7及MM P 13表达水平均较低㊂2 2 E T S 1㊁L E F 1与B P D 严重程度㊁并发症早产儿视网膜病(r e t i n o p a t h y o f p r e m a t u r i t y ,R O P )及出生周龄的关系 E T S 1㊁L E F 1表达量均与B P D 严重程度及其并发症R O P 相关,E T S 1与L E F 1基因的表达量随早产儿周龄的增加而增加(图2㊁图3)㊂2 3 转录因子E T S 1㊁L E F 1与MM P s 相关性分析 转录因子E T S 1与L E F 1在早产儿中的表达有相关性(r =0 921,P <0 001),见图4;而MM P s 与转录因子E T S 1㊁L E F 1均无相关性(表1)㊂3 讨论B P D 的重要病理特征之一为肺血管发育不良,血管新生受阻参与B P D 的发生㊁发展㊂目前已有㊃092㊃国际呼吸杂志2019年2月第39卷第4期 I n t JR e s p i r ,F e b r u a r y 2019,V o l .39,N o .4Copyright ©博看网. All Rights Reserved.注:B P D 为支气管肺发育不良;R O P 为早产儿视网膜病;A 为B P D 与非B P D 样本E T S 1基因表达差异情况;B 为不同疾病严重程度样本中E T S 1基因表达情况;C 为不同并发症R O P 严重程度与E T S 1基因表达情况;D 为出生周龄与E T S 1基因表达情况分析图2 E T S 1表达量与B P D 严重程度㊁并发症以及出生周龄的关系注:B P D 为支气管肺发育不良;R O P 为早产儿视网膜病;A 为B P D 与非B P D 样本L E F 1基因表达差异情况;B 为不同疾病严重程度样本中L E F 1基因表达情况;C 为不同并发症R O P 严重程度与L E F 1基因表达情况;D 为出生周龄与L E F 1基因表达情况分析图3 L E F 1表达量与B P D 严重程度㊁并发症以及出生周龄的关系很多E T S 1㊁L E F 1及MM P s 与血管新生的关系的报道,而三者与B P D 的发生㊁发展未见有报道㊂本研究基于一组包含111例早产儿表达谱芯片的数据,发现转录因子E T S 1㊁L E F 1的表达水平与B P D 及其并发症有相关性㊂研究发现MM P s 与B P D 的发生有相关性,转录因子E T S 1㊁L E F 1也与B P D 有相关性[6]㊂因此笔者推测异常表达的E T S 1㊁L E F 1以及MM P s 共同参与了B P D 的发生㊂E T S 转录因子家族是一类具有E T S 结构域的转录因子,参与了细胞生长㊁分化和器官的形成过㊃192㊃国际呼吸杂志2019年2月第39卷第4期 I n t JR e s p i r ,F e b r u a r y 2019,V o l .39,N o .4Copyright ©博看网. All Rights Reserved.程,在胚胎血管生成和成人血管新生过程中都起到了重要作用[14]㊂E T S 1是E T S 转录因子家族的一员,研究表明在血管新生和血管内皮受损后修复时E T S 1表达量出现瞬时增高[15-16],进一步研究发现E T S 1可以促进血管内皮细胞的迁移[17]㊂血管新生是一个复杂的多步骤过程,至少包括血管内皮细胞的增殖㊁趋化迁移以及在细胞外基质中内皮细胞管样结构的生成㊂MM P s 和血浆酶原的激活所引起的细胞外基质降解是血管新生必要步骤,被激活的血管内皮细胞会诱导性表达MM P s [18]㊂研究发现,内皮细胞中过表达E T S 1基因时,MM P 1㊁MM P 3和MM P 9的表达会反应性升高;而抑制E T S 1的表达则会导致上述基因在内皮细胞中的低表达,可见E T S 1参与了血管内皮细胞的活化与MM P s 的表达调控,在多种组织来源的细胞中均发现E T S 1能够促进MM P s 的合成[7-10]㊂E T S 1在胎儿出生后的血管新生中也是必不可少的[19]㊂图4 转录因子E T S 1与L E F 1直线相关分析散点图表1 转录因子E T S 1㊁L E F 1与MM P s 的直线相关分析变量MM P 1r 值P 值MM P 2r 值P 值MM P 9r 值P 值MM P 13r 值P 值E T S 10 1580 3000 1690 2770 643<0 010 1510 141L EF 10 1770 2190 2180 0640 616<0 010 1350 292E T S 1作为MM P s 的上游基因,可以促进MM P 1和MM P 9的表达[20-21]㊂在卵巢癌中,E T S 1能够直接结合到MM P 9和MM P 13的启动子区,上调后两者的表达[10]㊂与E T S 1的功能相似,转录因子L E F 1也能够通过结合MM P 13启动子区,促进MM P 13的表达[11]㊂一项在肝细胞中的研究表明E T S 1㊁L E F 1㊁c -J u n 等转录因子能够协同作用于孕丸X 受体基因的启动子区,并增强后者的表达;并且E T S 1能够增强L E F 1㊁c -J u n 等对孕丸X 受体基因启动子活性的调控[12,22]㊂L E F 1与E T S 12个转录因子具有广泛的协同作用,在多种疾病中发挥作用[23-24]㊂L E F 1可与E T S 家族中的P E A 3/E R M /E R 81协同作用,通过调控W n t 信号通路来调节MM P 7的表达[24]㊂与E T S 1功能相似,体外实验研究发现L E F 1也能够增强血管内皮细胞的增殖和在基质中的侵袭能力,且其侵袭能力的增强可能是通过增强MM P 2的作用实现的[13]㊂尽管在血管新生及多种疾病发生过程中E T S 1㊁L E F 1均可以通过MM P s 起到作用,然而在本研究中对早产儿基因表达数据的分析并未发现E T S 1㊁L E F 1与MM P s 表达有相关性㊂E T S 1㊁L EF 1㊁MM P s 与B P D 发生㊁发展的关系未见报道㊂本研究发现,在早产儿的血液中,E T S 1与L EF 1的表达水平具有相关性(r =0 921,P <0 001)㊂E T S 1㊁L E F 1在B P D 组早产儿中表达下调,且与B P D 严重程度和其并发症的程度相关㊂血管新生在胎儿与早产儿中均应是持续活跃的,然而B P D 的主要病理学特征之一为严重的肺血管发育不良,其并发症R O P 的发生也与视网膜新生血管异常有关㊂笔者推测在早产儿中,促进血管新生的转录因子E T S 1㊁L E F 1的异常低表达以及MM P s 的低表达,阻碍了肺和视网膜的血管新生过程,累积效应导致了B P D 和R O P 的发生㊂而MM P 9在B P D 中的高表达可能是由于另一个抑制血管新生的基因凝血酶敏感蛋白1的持续高表达所引起的[25-27]㊂MM P s 通过对细胞外基质的重构,能够促进血管内皮细胞的迁移和毛细血管的出芽,而MM P 2和MM P 9是主要的降解细胞外基质和基底膜的MM P s ㊂在血管新生过程中MM P 2与MM P 9均能够促进血管平滑肌细胞的增值和迁移[28-29],然而与MM P 9相比,高表达MM P 2与肿瘤的进展㊁恶性程度以及预后关系更加密切[30]㊂笔者推测MM P 2在细胞外基质降解和促进血管内皮细胞迁移中的作用比MM P 9要大,所以本研究中虽然观察到MM P 9在B P D 中表达升高,但仍不能逆转血管新生受阻和B P D 的发生㊂早产儿肺血管新生和B P D 的发生与发展是多种信号通路与基因调控的共同结果,是一个极其复杂的过程,本研究表明E T S 1与L E F 1至少在部分程度上参与了B P D 的发生㊂利益冲突 所有作者声明不存在利益冲突参 考 文 献1 F i s c h e rH S B üh r e rC A v o i d i n g en d o t r a c h e a lv e n t i l a t i o nt o p r e v e n tb r o n c h o p u l m o n a r y d y s p l a s i a a m e t a -a n a l y s i s J P e d i a t r i c s 2013 132 5 e 1351-e 1360 D O I 10 1542 pe d s ㊃292㊃国际呼吸杂志2019年2月第39卷第4期 I n t JR e s p i r ,F e b r u a r y 2019,V o l .39,N o .4Copyright ©博看网. All Rights Reserved.2013-18802李春杰肖志辉极低体质量早产儿支气管肺发育不良的发生率及其影响因素研究J中国全科医学201518101165-11671171D O I103969j i s s n1007-9572201510016 3 P i e t r z y k J J K w i n t a P W o l l e n E J e ta l G e n ee x p r e s s i o np r o f i l i n g i n p r e t e r mi n f a n t s n e w a s p e c t so fb r o n c h o p u l m o n a r yd y s p l a s i a de v e l o p m e n t J P L o S O n e2013810e78585D O I101371j o u r n a l p o n e00785854 D eP a e p eM E M a oQ P o w e l l J e t a l G r o w t ho f p u l m o n a r ym i c r o v a s c u l a t u r ei n v e n t i l a t e d p r e t e r m i n f a n t s J A m J R e s p i rC r i tC a r eM e d20061732204-211D O I101164r c c m 200506-927O C5 T héb a u dB A b m a nS H B r o n c h o p u l m o n a r y d y s p l a s i a w h e r eh a v e a l l t h ev e s s e l s g o n e R o l e so f a n g i o g e n i c g r o w t h f a c t o r si nc h r o n i c l u n g d i s e a s e J A mJR e s p i r C r i t C a r eM e d200717510978-985D O I101164r c c m 200611-1660P P6 Y a n g M C h e n B L H u a n g J B e ta l A n g i o g e n e s i s-r e l a t e dg e n e s m a y b e a m o r e i m p o r t a n t f a c t o r t h a n m a t r i xm e t a l l o p r o t e i n a s e si n b r o n c h o p u l m o n a r y d y s p l a s i a d e v e l o p m e n tJ O n c o t a r g e t201781218670-18679D O I1018632o n c o t a r g e t147227I t oH D u x b u r y M B e n o i tE e t a l P r o s t a g l a n d i nE2e n h a n c e s p a n c r e a t i c c a n c e r i n v a s i v e n e s s t h r o u g h a n E t s-1-d e p e n d e n t i n d u c t i o no fm a t r i x m e t a l l o p r o t e i n a s e-2J C a n c e rR e s200464207439-7446D O I1011580008-5472C A N-04-11778 G a o H P e n g C L i a n g B e t a lβ6i n t e g r i n i n d u c e s t h ee x p r e s s i o no fm e t a l l o p r o t e i n a s e-3a n d m e t a l l o p r o t e i n a s e-9i nc o l o nc a n c e rc e l l sv i aE R K-E T S1p a t h w a y J C a n c e rL e t t20143542427-437D O I101016j c a n l e t2014080179 K a t o T F u j i t a Y N a k a n e K e t a l E T S1p r o m o t e sc h e m o r e s i s t a n c e a nd i n v a s i o n o f p a c l i t a xe l-r e s i s t a n t h o r m o n e-r e f r a c t o r y P C3p r o s t a t ec a n c e rc e l l sb y u p-r e g u l a t i n g M D R1a n d MM P9e x p r e s s i o n J B i o c h e m B i o p h y sR e sC o mm u n20124173966-971D O I101016j b b r c20111204710 G h o s hS B a s u M R o y S S E T S-1p r o t e i nr e g u l a t e sv a s c u l a re n d o t h e l i a l g r o w t hf a c t o r-i n d u c e d m a t r i x m e t a l l o p r o t e i n a s e-9a n dm a t r i xm e t a l l o p r o t e i n a s e-13e x p r e s s i o n i nh u m a no v a r i a nc a r c i n o m a c e l l l i n eS K O V-3J JB i o lC h e m 20122871815001-15015D O I101074j b c M11128403411 E l a y y a nJ L e eE J G a b a y O e ta l L E F1-m e d i a t e d MM P13g e n e e x p r e s s i o n i s r e p r e s s e d b y S I R T1i n h u m a n c h o n d r o c y t e sJ F A S E BJ20173173116-3125D O I101096f j201601253R12 K u m a r i S S a r a d h iM R a n aM e t a l P r e g n a n e a n dX e n o b i o t i cR e c e p t o r g e n e e x p r e s s i o n i n l i v e r c e l l s i sm o d u l a t e db y E t s-1i n s y n c h r o n y w i t h t r a n s c r i p t i o n f a c t o r s P a x5L E F-1a n d c-J u nJ E x p C e l lR e s20153302398-411D O I101016jy e x c r20140902013 P l a n u t i e n eM P l a n u t i sK H o l c o m b eR F L y m p h o i d e n h a n c e r-b i n d i n g f ac t o r1a r e p r e s e n t a t i v eo fv e r t e b r a t e-s p e c i f i cL e f1T c f1s u b-f a m i l y i s aW n t-b e t a-c a t e n i n p a t h w a y t a r g e t g e n e i nh u m a n e n d o t h e l i a l c e l l sw h i c h r e g u l a t e sm a t r i xm e t a l l o p r o t e i n a s e-2e x p r e s s i o na n d p r o m o t e se n d o t h e l i a l c e l l i n v a s i o n J V a s cC e l l2011328D O I1011862045-824X-3-2814S a t oY R o l eo fE T Sf a m i l y t r a n s c r i p t i o nf a c t o r s i nv a s c u l a rd e v e l o p m e n t a n d a n g i o g e n e s i s J C e l l S t r u c tF u n c t200126119-2415 N i u N Y u C L i L e t a l D i h y d r o a r t e m i s i n i n e n h a n c e sV E G F R1e x p r e s s i o n t h r o u g h u p-r e g u l a t i o n o f E T S-1 t r a n s c r i p t i o n f a c t o r J JC a n c e r20189183366-3372D O I107150j c a2508216 C h e nJ F u Y D a y D S e ta l V E G Fa m p l i f i e st r a n s c r i p t i o nt h r o u g h E T S1a c e t y l a t i o nt o e n a b l ea n g i o g e n e s i s J N a tC o mm u n201781383D O I101038s41467-017-00405-x17 C h e nZ F i s h e r R J R i g g s C W e ta l I n h i b i t i o n o fv a s c u l a re n d o t h e l i a l g r o w t hf a c t o r-i n d u c e de n d o t h e l i a lc e l l m ig r a t i o nb y E T S1a n t i s e n s eo l i g o n uc l e o t ide s J C a n c e rR e s199757102013-201918S e n g e rD R M o l e c u l a r f r a m e w o r k f o r a n g i o g e n e s i s a c o m p l e x w e bo f i n t e r a c t i o n sb e t w e e ne x t r a v a s a t e d p l a s m a p r o t e i n s a n de n d o t h e l i a l c e l l p r o t e i n s i n d u c e db y a n g i o g e n i c c y t o k i n e s JA mJP a t h o l199614911-719 N a k a n oT A b e M T a n a k a K e ta l A n g i o g e n e s i s i n h i b i t i o nb y t r a n s d o m i n a n tm u t a n tE t s-1J JC e l lP h y s i o l20001842255-262D O I1010021097-46522000081842< 255A I D-J C P14>30C O 2-J20 H a i n e s P S a m u e l G H C o h e nH e t a l C a v e o l i n-1i s a n e g a t i v er e g u l a t o r o f MM P-1g e n e e x p r e s s i o n i n h u m a n d e r m a lf i b r o b l a s t sv i a i n h i b i t i o n o f E r k12E t s1s ig n a l i n g p a th w a yJ JD e r m a t o lS c i2011643210-216D O I101016j j d e r m s c i20110800521 K a r sM D Işe r iO D Gün düzU D r u g r e s i s t a n tb r e a s tc a n c e rc e l l so v e r e x p r e s s E T S1g e n e J B i o m ed P h a r m a c o t he r2010647458-462D O I101016j b i o p h a201001008 22 K u m a r i S M u k h o p a d h y a y G T y a g i R K T r a n s c r i p t i o n a lr e g u l a t i o no fm o u s e P X R g e n e a n i n t e r p l a y o f t r a n s r e g u l a t o r yf a c t o r s J P L o S O n e201278e44126D O I101371j o u r n a l p o n e004412623 B a l m e l l eN Z a m a r r eñoN K r a n g e lM S e ta l D e v e l o p m e n t a la c t i v a t i o n o f t h e T C Rαe n h a n c e r r e q u i r e s f u n c t i o n a lc o l l a b o r a t i o na m o n g p r o t e i n sb o u n di n s id ea n d o u t s i d et h ec o r e e n h a n c e r J J I mm u n o l200417385054-506324 A r c eL Y o k o y a m a N N W a t e r m a n M L D i v e r s i t y o fL E FT C Fa c t i o n i nd e v e l o p m e n t a n dd i s e a s e J O n c o g e n e200625577492-504D O I101038s j o n c121005625 R a d z i w o n-B a l i c k aA S a n t o s-M a r t i n e z M J C o r b a l a nJ J e t a lM e c h a n i s m s o f p l a t e l e t-s t i m u l a t e dc o l o nc a n c e r i n v a s i o n r o l e o fc l u s t e r i n a n d t h r o m b o s p o n d i n1i n r e g u l a t i o n o f t h e P38MA P K-MM P-9p a t h w a y J C a r c i n o g e n e s i s2014352324-332D O I101093c a r c i n b g t33226 A l b oD S h i n o h a r aT T u s z y n s k iG P U p-r e g u l a t i o no fm a t r i xm e t a l l o p r o t e i n a s e9b y t h r o m b o s p o n d i n1i n g a s t r i cc a n c e rJ JS u r g R e s2002108151-6027 Q i a n X R o t h m a n V L N i c o s i a R F e t a l E x p r e s s i o n o ft h r o m b o s p o n d i n-1i nh u m a n p a n c r e a t i c a d e n o c a r c i n o m a s r o l ei n m a t r i x m e t a l l o p r o t e i n a s e-9p r o d u c t i o n J P a t h o l O n c o lR e s200174251-25928 U z u iH L e e J D S h i m i z uH e t a l T h e r o l e o f p r o t e i n-t y r o s i n ep h o s p h o r y l a t i o na n d g e l a t i n a s e p r o d u c t i o ni nt h e m i g r a t i o na n d p r o l i f e r a t i o no f s m o o t hm u s c l e c e l l s J A t h e r o s c l e r o s i s2000149151-5929 M a s o n D P K e n a g y R D H a s e n s t a b D e t a l M a t r i xm e t a l l o p r o t e i n a s e-9o v e r e x p r e s s i o ne n h a n c e s v a s c u l a r s m o o t h m u s c l e c e l lm i g r a t i o na n da l t e r s r e m o d e l i n g i n t h e i n j u r e d r a tc a r o t id a r te r y J C i r cR e s199985121179-118530 M a h e c h aAM W a n g H T h e i n f l u e n c eo f v a s c u l a r e n d o t h e l i a lg r o w t hf a c t o r-A a n d m a t r i x m e t a l l o p r o t e i n a s e-2a n d-9i na n g i o g e n e s i s m e t a s t a s i s a n d p r o g n o s i so f e n d o m e t r i a l c a n c e rJ O n c oT a r g e t sT h e r2017104617-4624D O I102147O T T S132558收稿日期2018-03-27㊃392㊃国际呼吸杂志2019年2月第39卷第4期I n t JR e s p i r,F e b r u a r y2019,V o l.39,N o.4Copyright©博看网. All Rights Reserved.。
紫薯花青素对油酸诱导hepg2细胞血脂代谢的影响
慢性代谢疾病如肥胖、高血脂症、2型糖尿病等 威胁人类健康,并成为全球性疾病。而所谓高脂血 症,是指由代谢异常或转运异常引起的血浆中脂类
物质浓度过高,主要是指血清所含总胆固醇(TC)或 甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)的单 项或多项超常,或HDL-C水平过低的一种脂质代 谢异常,并由此引发的一系ห้องสมุดไป่ตู้临床表现的病症。高 脂血症是导致动脉粥样硬化和心脑血管疾病的公
认危险因素⑴,并且流行病学研究表明,TG、TC水平 升高程度与高脂血症的严重程度呈线性关系,尤其 是与冠心病、动脉粥样硬化、心脑血管疾病的死亡 率呈正相关系⑵。
长期不合理的饮食方式如高糖高脂膳食极易 导致高血脂症的发生,而许多减肥药由于其严重的 毒副作用不被人们接受。因此对于开发具有降血脂 功效的天然活性物质对于高血脂症的预防及治疗
Effect of Purple Sweet Potato Anthocyanins on Lipid Metabolism in HepG2 Cells Induced by Oleic Acid
Shi Hui Chuangyan Testing(Tianjin)Co.,Ltd. (Tianjin,300450) Abstract To study the effect of anthocyanins from purple sweet potato on lipid metabolism induced by oleic acid in HepG2 cells, cell viability was determined by MTT assay, through which we could choose the appropriate concentrations of anthocyanins from purple sweet potato and oleic acid and establish the oleic acid-induced lipid accumulation model in HepG2 cell in vitro. MTT value, HepG2 cell morphology, Oil Red 0 staining, total triglyc eride (TG),total cholesterol (TC) were used to evaluate the effect of phloridzin on HepG2 steatosis. Further,the expression level of genes related to lipid metabolism such as SREBP-1C、FAS、ACC、SCD-1、HMGCR LDLR was determined. Anthocyanins from purple sweet potato showed a significant inhibitory effect against TG accumu lation and TC content in HepG2 cells induced by Oleic acid. 150(xg/mL anthocyanins from purple sweet potato could decrease the genes expression related to lipid synthesis, furthermore, decrease the genes expression related to cholesterol synthesis, inferring that anthocyanins from purple sweet potato has a significant activity on lipidlowering activity in vitro. Key words Anthocyanins from purple sweet potato Oleic acid Lipid metabolism HepG2 cells
氧诱导新生小鼠视网膜病变中血管新生和氧应激相关基因表达的变化
氧诱导新生小鼠视网膜病变中血管新生和氧应激相关基因表达的变化余增洋;龚陈媛;张国庆;季莉莉【摘要】Aim To observe the retinal angiogenesis and detect the altered expression of genes related with angiogenesis and oxidative stress during the develop-ment of oxygen-induced retinopathy ( OIR) in newborn mice. Methods OIR was established in newborn mice according to the protocol of Smith et al. Newborn mice at 7 days old were placed into 75 . 5% oxygen for up to 5 days, and then they were put in room air for another 5 days. Retinal neovascularization was ob-served by immunofluorescence staining with cluster of differentiation 31 ( CD31 ) . Gene expression wasde-tected using Real-time PCR analysis. Retinal CD31 immunofluorescence staining assay showed that relative hypoxia induced retinal neovascularization in OIR mice after hyperoxia-induced subside of retinal microvascu-lar. Results Real-time PCR analysis showed that vas-cular endothelial growth factor ( VEGF) and its recep-tor ( VEGFR) such as VEGFA, VEGFD, VEGFR1, VEGFR2 gene expression were increased in OIRmouse as compared to control. Platelet-derived growth factor( PDGF) and its receptor ( PDGFR) such as PDGFA, PDGFB, PDGFRa, PDGFRb gene expression was also increased in OIR mouse as compared to control. Matrix metalloproteinases ( MMPs ) such as MMP2 gene ex-pression were increased in OIR mouse as compared to control. Gene expressions of nuclear factor-related fac-tor ( Nrf2 ) and its downstreamgenes such as the two subunits of glutamate-cysteine ligase ( GCL):thecata-lytic subunit ( GCLC) and regulatory subunit ( GCLM) were both decreased in OIR mouse as compared to con-trol. Conclusion Our research demonstrates that the expression of genes related with angiogenesis is in-creased in retinas in the development of OIR in mice, whereas the expression of Nrf2 and its downstream genes is all decreased.%目的:建立氧诱导新生小鼠视网膜病变( oxygen-in-duced retinopathy, OIR)模型,观察视网膜血管新生情况,检测OIR病变过程中调控血管新生和氧应激相关基因表达的变化。
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Available online at ScienceDirectRice Science, 2017, 24(3): 163−172Expression Analysis of Genes Related to Rice Resistance Against Brown Planthopper, Nilaparvata lugensPanatda J ANNOEY , Duangdao C HANNEI , Jate K OTCHARERK , Weerathep P ONGPRASERT , Mika N OMURA(Department of Biochemistry, Faculty of Medical Science, Naresuan University, Pitsanulok 65000, Thailand )Abstract: Brown planthopper (BPH) is an insect species that feeds on the vascular system of rice plants. To examine the defence mechanism of rice plants against BPH, the pathogenesis-related genes (PR1a, PR2, PR3, PR4, PR6, PR9, PR10a , PR13, PR15 and PRpha ), signaling molecule synthesis genes (AOS , AXR , ACO and LOX ), antioxidant-related genes (CAT , TRX , GST and SOD ) and lignin biosynthesis-related genes (CHS , CHI and C4H ) were investigated in a resistant rice variety. AOS , PR6, PR9 and PR15 genes showed significantly increased relative expression levels at 24.38-, 19.17-, 14.71-, and 12.74-fold compared to the control. Moderate increased relative expression levels of lignin biosynthesis-related gene (C4H ), pathogenesis-related genes (PR4, PR10a and PRpha ), and antioxidant-related gene (GST ) were found, while CHI , LOX , SOD , TRX1 and AXR showed decreased relative expression levels. It was thus clearly shown that wound-induced response genes were activated in rice plants after BPH attacks through AOS activation. Jasmonic acid signaling molecule may activate PR6, PR15, GST and CAT subsequently increasing their expression for H 2O 2 detoxification. PR6 were expressed at the highest relative level among the PR genes. These genes therefore have also a considerable synergistic role with the other genes against BPH by interfered their digestion tract system. Key words: brown planthopper; rice; defense mechanism; gene expression; jasmonic acidBrown planthopper (BPH), Nilaparvata lugens (Stål), is a rice-feeding insect distributed around tropical regions, with outbreaks continuing in Thailand. BPH destroys rice phloem, causing reduced yields. However, rice plant’s immune system and defence-related genes can protect the rice plants from BPH infestation (Senthil-Nathan et al, 2009; Jannoey et al, 2015).Innate immunity of rice plants is a complex system triggered by various elicitors. Defence mechanisms called herbivore-associated molecular patterns (HAMPs) are activated when herbivore makes contact with the plant’s host cell (Muthamilarasan and Prasad, 2013; Stael et al, 2015). HAMPs include insect saliva components, such as glucose oxidase, alkaline phosphatase, carliferins, volicitin, bruchins, pectinase and other proteinaceous elicitors (Cheng et al, 2013). Another elicitor, called damage-associated molecularpattern (DAMP), is released from damaged tissues, including plant cell wall polysaccharide, cutin monomer and endogenous peptides (Mott et al, 2014). All elements of this innate immune system have been found to respond to pathogens via pattern recognition receptors (PRRs), which are called PRR-triggered immunity (PTI). Effector-triggered immunity (ETI) is the second phase of innate immunity (Cheng et al, 2013). ETI can induce changes in the host cell’s structure, such as reducing aphid nymph production and increasing aphid fecundity. Previous reports suggest that there is an effector in BPH saliva that suppresses stress responses in rice cells (Muthamilarasan and Prasad, 2013). Salicylic acid (SA) and jasmonic acid (JA) are signaling compounds in plants to defend against microbial or insect attacks, as well as regulating growth, morphological change and biochemicalReceived: 1 August 2016; Accepted: 17 October 2016Corresponding author: Panatda J ANNOEY (kek_biotech@)Copyright © 2017, China National Rice Research Institute. Hosting by Elsevier B VThis is an open access article under the CC BY-NC-ND license (/licenses/by-nc-nd/4.0/) Peer review under responsibility of China National Rice Research Institute164 Rice Science, V ol. 24, No. 3, 2017processes (You et al, 2011; Qiu et al, 2014). Moreover, JA, SA, ethylene (ET), Ca2+, OsRac GTPase hormone signaling pathways and mitogen-activated protein kinase (MAPK) cascades may activate a basal resistance network in rice plants attacked by BPH (Cheng et al, 2013).The basal resistance model of rice immune response activates until BPH use their stylets to suck rice phloem sap through cell membrane, with saliva secreted during infestation. After BPH infestation, Ca2+ induced H2O2 accumulation, protein plugging, callose deposition, volatile compounds and hormone signaling pathways on the sieve plate induce resistance to BPH (Cheng et al, 2013). The effectors and elicitors from BPH saliva including HAMP and DAMP trigger the PTI system, subsequently inducing the SA, ET and MAPK cascade signaling pathways and volatile compound emission. These volatile compounds act as a repellent to BPH. However, effectors from BPH saliva are only recognized by BPH-resistant proteins in resistant varieties, resulting in BPH tolerance varieties.Another mechanism of rice’s response to BPH is based upon enzymes related to phenylpropanoid pathways and oxidative enzymes. Phenylalanine ammonia lyase (PAL), chalcone synthase (CHS) and lipoxygenase (LOX) are involved in phenolic compounds, while phytoalexin and lignin biosynthesis increase the plant’s resistance to pathogens. Oxidative enzymes, such as peroxidase (POD), polyphenol oxidase (PPO), superoxide dismutase (SOD) and catalase (CAT), also contribute to strengthening plant cell wall structures to increase resistance to pests. The activities of SOD, POD, CAT, PAL and PPO increase in resistant varieties after BPH infestation, which coordinates to the pathogen resistance (Hao et al, 2011; Duan et al, 2014).Moreover, pathogenesis-related proteins (PR proteins) and signaling molecules from SA, JA and ET also activate plant defences against pathogens or insects. PR proteins accumulate in the infected tissue in response to pathogens and stress, which can protect plants from pathogens and further infection (Ebrahim et al, 2011). PR proteins are categorized into 17 families depended on their properties and functions, including antifungal protein (PR1a), β-1,3-glucanase (PR2), chitinase (PR3, PR4, PR8 and PR11), thaumatin- like proteins (PR5), protease inhibitor (PR6), endoprotease (PR7), POD (PR9), ribonuclease (PR10), defensin (PR12), thionin (PR13), lipid-transfer protein (PR14), oxalate oxidase (PR15 and PR16) unknown (PR17) and the other type is phenylalanine ammonia lyase (PRpha) (Ebrahim et al, 2011). Previous reports found that PR1a may play a role in protecting against both rice stripe viruses and small brown planthopper (sBPH), but PR4 and PR10a only defend against sBPH infestation in resistant rice varieties (Hao et al, 2011). PR2 may be involved in the response to rice stripe viruses and sBPH in susceptible varieties (Zhang et al, 2004; Hao et al, 2011).The expression of genes resistant against BPH is one of the vital mechanisms in rice (Zhang et al, 2004; Du et al, 2009). Bph14, encoding a coiled-coil, nucleotide-binding and leucine-rich repeat protein, which is known as an immune receptor in BPH resistance, was latest isolated and characterized (Du et al, 2009; Zheng et al, 2013). This finding provides the molecular basis for rice resistance to BPH. Callose synthesis genes are up-regulated when BPH is feeding, subsequently inducing callose deposition (Zheng et al, 2013). Other genes, such as PR1a, PR4, PR10a, PR1b, PR2, CHS and LOX (Hao et al, 2011; Duan et al, 2014), PAL, EDS, NPR1 and PAD4 (Zhang et al, 2004), were compared in susceptible and resistant varieties using qRT-PCR. Moreover, northern blot and cDNA array analyses were employed to create expression profiles for cDNA clones of 108 genes that play a role in rice resistance to BPH. However, previous data shows the adverse results on expression level of some important genes. For example, PRpha is down-regulated in B5 resistant varieties (Zhang et al, 2004) but up-regulated in other studies (Hao et al, 2011; Duan et al, 2014). CHS rapidly increase in resistant varieties during BPH feeding compared with susceptible varieties (Hao et al, 2011), but no difference was found in other studies.In fact, since SA, ET and JA are required for defence against pathogens and insects (Duan et al, 2014), the adverse effects show that the JA synthesis-related genes reduce expression in resistant varieties infested with BPH (Zhang et al, 2004). Several studies have shown that the expression of PR2 does not differ between susceptible and resistant varieties (Zhang et al, 2004; Hao et al, 2011), although PR2 synergize with PR3 to defend against pathogens (Ebrahim et al, 2011). To clarify these previous findings, we studies differential expression of genes involved in pathogenesis response, signaling and lignin biosynthesis-related genes and antioxidant defence-response in rice using quantitative real-time PCR (qRT-PCR). Rice resistantPanatda J ANNOEY, et al. Rice Response Related Gene Expression Against BPH 165 to BPH was used to analyse expression levels afterBPH infestation and rice plants without BPHinfestation served as a control. Inducing defence geneexpression during rice-BPH interaction is required toenable better understanding of the mechanisms thatprotect rice against BPH.MATERIALS AND METHODSRice materials and BPH infestationAn indica rice variety PSL2 (Oryza sativa cv.Phitsanulok 2), resistant to BPH in Thailand, waschosen for this study. Rice seeds were provided by thePhitsanulok Rice Research Institute, Phitsanulok,Thailand. BPH populations were collected from thecountryside of rice fields in the sub-district ofPhitsanulok Province, Thailand, and maintained onTaichung Native 1 (TN1) in a cage until laying their eggs. Experimental rice plants were grown following the methods of Jannoey et al (2015) with modifications. The pregerminated rice seeds were planted in a pottery box and placed in a greenhouse cage at a water depth of 3.5 cm. After 10 days sowing, rice seedlings were infested with BPH nymphs at a ratio of 12 insects per seedling (Fig. 1). The dead rice seedlings were recorded, and mortality percentages were calculated, converting to 0–9 score scale following the standard of the International Rice Research Institute (IRRI, 1996). At 14 d after infestation, rice samples were collected for RNA extraction. Rice without BPH infestation was used as a control. The experiment was replicated three times. RNA extraction and cDNA synthesisA total of 100 mg rice samples were extracted using the RNeasy® Plant Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions, then quantified using a NanoDrop ND-100 spectro-photometer.RNA was converted to cDNA using the Prime-Script First Stand cDNA Synthesis Kit (TaKaRa, Shiga, Japan). cDNA synthesis reactions were incubated at 37 ºC for 15 min and 85 ºC for 5 s. cDNA will be obtained and then amplified in a further step. Quantitative real-time PCR (qRT-PCR) Quantitative real-time PCR was performed with Thermal Cycle Dice Real-Time System II (TaKaRa, Shiga, Japan) with SYBR premix ExTag II (TaKaRa, Shiga, Japan). Primers were designed using the Primer 3 software according to the gene sequences in the GenBank Database. The specific primer pairs are shown in Table 1. The PCR reaction was carried out in triplicate in 96-well plates. The mixture contained 12.5 µL SYBR premix ExTag, 1 µL of 60 ng cDNA as the template, 5 µL of 2 µmol/L Primer premix and 6.5 µL DNase free water for a total volume of 25 µL. The thermal profile of the real-time system was one step at 95 ºC for 30 s, followed by 40 cycles at 95 ºC for 5 s (denaturation) and at 60 ºC for 30 s (annealing and extension) followed by added dissociation pattern. The actin gene was used as an internal standard.Data analysisRelative expression levels were determined using the average cycle threshold (CT). Average CT values were calculated from the triplicate experiment conducted for each gene, with the ∆CT value determined by subtracting the average CT value of genes from the CT value of actin gene. Finally, the equation 2-∆∆CT was used to estimate relative expression levels. Standard deviation was calculated from the replicated experimental data. The statistical analysis was conducted through the Tukey’s test at the 0.05 level.RESULTSExpression of pathogenesis-related genesTo assess the expression profile pathogenesis genes, qRT-PCR analyses were carried out. Pathogenesis-related genes including PR1a, PR2, PR3, PR4, PR6, Fig. 1. Hopperburn symptom of rice plants.A, PSL2 (resistant variety) attacked by brown planthopper (BPH) for 14 d; B, Control without BPH inoculation;C,TN1 (susceptible variety) in the cage condition; D, BPH nymph behaviors settled on the rice seedling stem.A BC D166 Rice Science, V ol. 24, No. 3, 2017The levels of relative expression were 1.04-, 1.12-,1.20-, 1.81-, 3.67-, 8.17-, 9.88-, 12.74-, 14.70- and 19.17-fold in rice plants infested with BPH compared to the control plants for PR2, PR13, PR1a , PR3, PRpha , PR4, PR10a , PR15, PR9 and PR6, respectively (Fig. 2). The highest increasing rate of the relative expression level was for the PR6 gene. PR4, PR10a and PRpha underwent a moderate change after BPH infestation, while PR1a , PR2, PR3 and PR13 showed no difference in the relative expression level between the infested rice plants and the control. Since there was no significant increase of the relative expressionlevel in the PR2 gene after BPH feeding, PR2 cannot play a role in defence-response to BPH in rice. Expression of antioxidant genesA total of four genes related to antioxidant enzyme biosynthesis were studied in this study. Reactive oxygen species (ROS) and various stressors can activate antioxidant defence systems in plants (Hao et al, 2011). Piercing and sucking by BPH was found to induce ROS accumulation and subsequent the expression of antioxidant defence genes, especially CAT and glutathione S -transferase gene (GST ), whileTable 1. Primers for qRT-PCR amplification designed by primer3 software. FunctionGene Protein nameForward primerReverse primerPathogenesis related-gene PR1a SCP-like extracellular protein GGAAGTACGGCGAGAACATC GGTCGTACCACTGCTTCTCC PR2 Glucanase TGCTATGTTCGACGAGAACG GTTGAACAGCCCAAAGTGCT PR3 Chitinase CTCACCACGAACATCCTCAC GTCGCAGTAGCGCTTGTAGA PR4 Chitinase CCGTCTTCTCCAAGATCGAC TGGTAGTCGACGATGAGGTG PR6 Protease inhibitor GTGCATCTTGCATGCTTTGT TTTTCCTCATGGTCCACACA PR15 Oxalate oxidase4 AGGCCTTCTGCAACAAGATG CACTCCTTCACCTCGTCCAT PR9 Lignin-forming peroxidase GATGGTGAAGATGGGGAACA ACGGAGCACTTGATCCTGAC PR10a Ribonuclease GCCGAATACGCCTAAGATGA ACATTTCTGCGGCTCTCATT PR13 Thionin CCGCTTCTGTACCAAGGAAG ATGTGTGAAGCCCCTTATGCPRpha Phenylalanine ammonia lyase AGAATCACCGAGTGCAGGTC GCCGGTCAGGTACTTTGTTC Lignin synthesis CHS Chalcone synthase AGGGAAGAATGGGGACTGAT TGCCTCGAACTAGCATTCCT CHI Chalcone isomerase AGCTCCTGAAGGCGGAAT GATTTTCACGCGGACACCC4H Cinnamate-4-hydroxylase CTCGTCCAGAGCTTCGACCT GGATCTGGTTGCTGAACTGG Signaling pathway LOX Lipoxygenase GGAGGTTCAACGAGAGGATG GATCCTTGTTCCGGCAGTC AOS Allene oxide synthase GGAGGAAGCTGCTGCAATAC TGCTTGTTGTCAACGCTAGG AXR Auxin responsive protein TGTTCCATGGGAGATGTTCA CCAATTGCATCTGAGCCTTTACO ACC oxidase CCTACCCGAGGTTCGTGTT CTCCTTGGCCTCGAACTTGT Oxidative stress SOD Superoxide dismutase CGATCCTGATGATCTTGGAAA CAGCCTTGAAGTCCGATGAT CAT Catalase AGGCAAGATCGTTTTCTCCA GCGACCAGTAGGAGATCCAG TRX Thioredoxin1 GACAGCTGCATGGAGTTCCT CCCTGATGAAGAGGAAGGTGGST Glutathione transferase GTAGGCTCGCCGAGTACG CAGCTGCTGCCCACTCTG ControlActinATCACCATCGGAGCAGAAAG AAAAGATGGCTGGAAGAGCAFig. 2. Differential expression of pathogenesis-related genes in rice response to brown planthopper (BPH) (Mean ± SD, n = 3).R e l a t i v e e x p r e s s i o n l e v e l R e l a t i v e e x p r e s s i o n l e v e lPanatda J ANNOEY , et al. Rice Response Related Gene Expression Against BPH 167SOD and TRX1 genes were down-regulated in rice during BPH infections (Fig. 3).Expression of signaling compounds biosynthesis related genesAllene oxide synthase (AOS ), 1 aminocyclopropane- 1-carboxylic acid oxidase (ACO ), LOX and auxin responsive gene (AXR ), which involve in signaling compounds biosynthesis pathway, were also investigated in rice after BPH infestation. AXR showed down-regulated expression (Fig. 3), indicating that auxin hormones have no effect on rice resistance to BPH. LOX showed no significant difference in the relative expression level, while ACO examined moderately increased relative expression level in infested rice. Interestingly, AOS showed dramatically increasing rate in relative expression level among the signaling compound biosynthesis related genes.Expression of lignin biosynthesis-related genes Lignin accumulation is required in rice to defend against BPH (Jannoey et al, 2015). Thus, lignin and phenolic compound biosynthesis related genes were investigated, including cinnamate-4-hydroxylase (C4H ), CHS and chalcone isomerase (CHI ), the major genes involved in lignin biosynthesis (Fig. 4). CHS and C4H genes, encoding key enzymes for lignin biosynthesis, were up-regulated at 1.51-fold and 4.38-fold respectively upon infestation with BPH. There was no change in CHI genes which is related to phenolic compound biosynthesis (P = 0.96).DISCUSSIONExpression of pathogenesis-related genesPR genes protect plants against pathogens byFig. 3. Differential expression of antioxidant enzyme-related genes (SOD , CAT , TXR1 and GST ) and signaling compound biosynthesis-relatedgenes (AXR , ACO , AOS and LOX ) in rice response to brown planthopper (BPH) (Mean ± SD, n = 3).Data were analyzed at the 0.05 level. The blank columns are control rice plants and the black ones are rice plants infested with BPH.SOD CAT TRX1 GSTAXR ACO AOS LOXR e l a t i v e e x p r e s s i o n l e v e l R e l a t i v e e x p r e s s i o n l e v e lFig. 4. Differential expression of lignin biosynthesis-related genes in rice response to brown planthopper (BPH) (Mean ± SD, n = 3).CHI CHS C4HR e l a t i v e e x p r e s s i o n l e v e l168 Rice Science, V ol. 24, No. 3, 2017accumulating in areas around infected tissue (Ebrahim et al, 2011). Among these, the relative expression levels of PR6, PR9 and PR15 were higher than those of the other PR genes, which may indicate these genes play an important role in defending against BPH attacks in rice.PR6 encodes protease inhibitor proteins, such as trypsin inhibitors, which are wound-response pathogen proteins. It is found in chewing insects and some nematodes and suppresses digestion in the larval midgut by inhibiting gut protease enzymes, as regulated by signal transduction pathways (Zhang et al, 2004; Cheng et al, 2013). Thus, PR6 plays an important role in plant defence responses to insect damage (Fig. 5). most dramatically in rice infected with BPH (P = 0.00). These results, along with previous reports, show that PR6 increases resistance by up to eight times in the event of BPH feeding (Zhang et al, 2004). BPH also induces expression of PR6 genes following BPH infestation in other reports (Weng et al, 2003; Du et al, 2009; Cheng et al, 2013), suggesting that PR6 gene can suppress BPH feeding on rice harbouring BPH-resistance genes (Cheng et al, 2013). In addition, the expression of trypsin inhibitor genes is enhanced in the transgenic rice, whereas the expression of PR6 gene is higher than that of other wound-response genes in rice-BPH infestations (Weng et al, 2003). Artificial diets supplemented with protease inhibitorsFig. 5. Schematic representation of brown planthopper (BPH) triggered rice defense mechanism (Cheng et al, 2013 with modifications).BPH induced the expression of wound-response genes in rice represented by following mechanism: (1) Wound-induced Ca2+ fluxes occur in rice as a second messenger. The rice CBL-interacting protein kinases (CIPK14 and CIPK15) are Ca2+-related-protein sensor and involve in induced accumulation of signaling molecule (ethylene and jasmonic acid). (2) H2O2 is emerging as signal molecules after wounding and subsequently Ca2+ accumulates. H2O2 activates jasmonic acid, and controls the expression of defense related-gene and metabolite biosynthesis. (3) Rice chitin elicitor-binding protein (CEBiP) is essential for chitin recognition for chitin-trigged immunity induction. Plants recognize pathogen by cell surface localized pattern-recognition receptor (PRRs). PRRs also interact with OSRAC1 for regulation of the final step of signaling pathway including the production of reactive oxygen species (ROS), lignin, PR proteins and mitogen-activated protein kinase (MAPK) cascade. (4) Damage-associate molecular pattern (DAMP) molecules are release from wound tissue, and activate the plant innate immunity. Oligogalactoronides (OGs), one of the DAMP molecules, involve in plant response to wounding. OGs can induce the protease inhibitor, ROS, nitrix oxide, phytoalexin, PR2 and PR3 accumulation, and callose deposition. However, OGs also regulate auxin-antagonistic activity.Ethylene signalingPanatda J ANNOEY, et al. Rice Response Related Gene Expression Against BPH 169fertility in insects (Jamal et al, 2015; Kuwar et al, 2015). PR6 can therefore be used in pest control for food crops, since the expression of PR6 may induce trypsin inhibitor production and interfere with BPH digestion during feeding on BPH-resistant rice. The piercing and sucking of BPH could induce PR6 expression, causing severe damage to rice plants.PR9, a lignin-forming POD enzyme, catalysing lignin deposition functions for plant cell wall strengthening (van Loon and van Strien, 1999), showed significantly increased (P = 0.00) activity in rice infested with BPH. Recently, the transcription level of PR9 in wheat is down-regulated significantly after infestation with the aphid-transmitted fusarium virus and Hessian flies in susceptible varieties (Wu et al, 2014). This suggests that PR9 plays a role in catalysing lignin deposition to defend against BPH in susceptible varieties. PR15 encodes the oxalate oxidase enzyme (Li et al, 2015) and has been found to be expressed at a higher rate of 12.74-fold among PR genes in rice infested with BPH. Oxalate oxidase plays a role in plant defence, with expression of oxalate oxidase boosting resistance to pathogens in rice (Zhang et al, 2013) and engineers rice plants with oxalate oxidase genes more resistant to sheath blight disease (Molla et al, 2013). PR1 includes PR1a, PR1b and PR1c. The role of PR1a in defending against BPH was investigated in this study, showing that the relative expression level of PR1a increased to 1.20-fold after BPH infection. However, there was no significant difference between the control and BPH-treated rice in transcript levels. Hao et al (2011) found the highest expression of PR1a in a resistant variety after 6 h of BPH feeding. PR1a also increases expression in rice containing the resistance gene Xa21 during bacterial leaf blight infections (Ponciano et al, 2006). Jwa et al (2001) reported that the expression levels of PR1a and PR10 increase in rice infected with Magnaporthe grisea. Therefore, the expression of PR1a may contribute more to rice plants’ defence against bacterial and fungal pathogens than BPH.PR2 encodes for 1,3-ß-glucanase throughout the plant kingdom (Simmon et al, 1994) and belong to the glycoside hydrolases family (Akiyama et al, 2009; Opassiri et al, 2010). 1,3-ß-glucanase hydrolyses the ß-O-glycosidic bond of ß-glucan in plant cell walls, with cell wall loosening and expansion (Akiyama et al, 2009). This phenomenon may be the cause of rice cell wall leakage during BPH infestations. PR2 is down-regulated in resistant rice varieties as a response to BPH-feeding and up-regulated in susceptible ones (Zhang et al, 2004). However, in this study, PR2 presented no difference in expression levels between the BPH-infested sample and the control (P = 0.85). Generally, the increased expression level of PR2 will activate callose hydrolysis in susceptible phloem cells during BPH attacks (Du et al, 2009; Hao et al, 2009; Cheng et al, 2013). Increased expression of PR2 also occurs when rice is infected with other pathogens (Sridevi et al, 2008), wounded (Opassiri et al, 2010) or in response to signaling molecules (Akiyama et al, 2009). Moreover, Akiyama et al (2009) have shown that the expression of PR2 increases when rice leaves are exposed to methyl jasmonate, abscisic acid, ethephon and mechanical wounding, which indicates that PR2 may not promote callose hydrolysis in resistant varieties, despite resistant varieties being shown to survive BPH attacks in this study. PR2 gene is not considered to be part of the defence mechanism in rice to defend against BPH in this study. Sridevi et al (2008) suggest a combination of PR2 and PR3 genes in indica rice will enhance resistance to Rhizoctonia solani. Other transgenic plants containing PR2 and PR3 genes, such as tobacco (Nishizawa et al, 2003), carrots (Melchers and Stuiver, 2000) and wheat (Anand et al, 2003), show enhanced resistance to Cercospora nicotianae (Zhu et al, 1994), R. solani (Jach et al, 1995) and F. oxysporum (Jongedijk et al, 1995).PR3 and PR4 encode chitinase enzymes known as defence enzymes (Xi et al, 2015). Chitinase is normally found in a range of organisms, including fungi, viruses, bacteria, insects and rice (Xayphakatsa et al, 2008). In rice, chitinase levels are higher in PTB33 (a resistant variety) than TN1 (a susceptible variety) after infestation for 3 d (Alagar et al, 2007). Previous research indicates that rice chitinase has an important role in hydrolysing chitin, a major structural component of the gut lining and cuticle of insects and in the cell walls of many fungi and the egg shells of nematodes (Alagar et al, 2007). Furthermore, PR3 chitinase is known to inhibit fungal growth both in vitro and in vivo. Therefore, PR3 plays a role in protecting plants from pathogen infestations (Xayphakatsa et al, 2008). Many plants have been developed for fungal resistance via inducing chitinase (PR3) and glucanase (PR2) production. The combination of PR3 and PR4 protects rice plants against many fungal diseases (Sridevi et al, 2008). However, the transcription level of PR3 in this study was lower compared to the control and among PR genes,170 Rice Science, V ol. 24, No. 3, 2017suggesting PR3 did not respond to BPH infection. Similarly, a low level of antifungal activity produced by rice chitinase class III was found after fungal infection, because function of PR3 is as an elicitor, releasing than killing the invading fungi (Xayphakatsa et al, 2008; Ting and Chai, 2015).Expression of antioxidant genesBPH infection resulted in a significant decrease in both SOD and TRX genes, while the expressions of GST and CAT genes significantly increased (Fig. 3). CAT genes encode catalase enzymes, which are important for converting H2O2 to H2O and O2 in rice plant cells (Hao et al, 2009). H2O2 is an ROS, which damages nucleic acids, lipid oxidation and protein oxidation. ROS production in plants is an early response mechanism after oxidation. Increased expression of CAT genes may be required for detoxification in plant cells after BPH infestations, specifically by inhibiting accumulation of ROS to protect rice plants from oxidative stress, such as BPH feeding.The expression of GST genes also increased after BPH feeding. These genes encode GST enzymes. In plants, GST reduces H2O2 after biotic and abiotic stress. It can remove toxic compounds and reduce peroxides, as well as increase cellular detoxification and oxidative tolerance (Gill and Tuteja, 2010). The aeration of H2O2 concentration in damaged cells can activate CAT and GST genes. Increased GST transcription levels have also been found in barley under drought stress among tolerant varieties (Rezaei et al, 2013). It has also been found that transgenic Arabidopsis harbouring GST gene show enhanced resistance to salt and drought (Xu et al, 2015). Additionally, significant increases in GST gene expression have been observed in transgenic rice, enhancing tolerance to chilling, salinity, copper, cadmium and herbicide treatment (Hu, 2014). These results indicate that CAT and GST genes (P = 0.00) are related to BPH response in rice.SOD and TRX1 genes were down-regulated in this study. SOD genes catalyse the superoxide radicals (O2–) into H2O2, while TRX1 genes are involved in detoxification of lipid hydroperoxides to protect against oxidative stress in plant cells (Vieira and Rey, 2006). This suggests that the damage to rice cells from BPH may induce the H2O2 than O2– accumulation. Expression of signaling compounds biosynthesis related genes biosynthesis, using linoleic acid as the substrate. LOX enzymes catalyse oxygenation of fatty acids to their hydroperoxy derivatives in JA biosynthesis pathways (Turner et al, 2002). There was no significant difference in LOX gene expression between BPH-infested rice and the control sample (P = 0.53) (Fig. 3), suggesting that LOX has no effect on JA biosynthesis induced by BPH infestation.ACO genes or ACC oxidase enzymes catalyse the ACC substrate in the final step of ethylene biosynthesis (Iwamoto et al, 2010). AOS genes encode allene oxide synthase, the first enzyme in the branch pathway leading to JA biosynthesis, and are known to catalyse dehydration of 1,3-hydroperoxy-octa-decatrienoic acid to unstable epoxide. They are classified as wound-inducible genes (Turner et al, 2002). The results showed that ACO genes (P = 0.00) underwent moderate increases in the relative expression level compared to the control at 2.76-fold, whereas AOS genes expressed at 24.38-fold (Fig. 3). Previous research suggests ACO genes are wound responsive and subsequently activate AOS genes in JA biosynthesis. Therefore, rice defends against BPH by inducing AOS and ACO genes for JA production when cells are damaged.Expression of lignin biosynthesis-related genes There was no change in CHI and CHS genes which were related to phenolic compound biosynthesis (P = 0.96) (Fig. 4). This indicates that some phenolic compounds may not be involved in protecting rice against BPH. The transcription level of C4H genes increased moderately (P = 0.00), though more in resistant varieties than in the susceptible ones (Fig. 4). C4H encodes cinnamate-4-hydroxylase, key enzymes in phenylpropanoid pathways related to lignin biosynthesis (Duan et al, 2014). Lignin is the second natural polymer connected to cellulose and hemicellulose in plant cell walls. It composes of coniferyl, sinapyl and p-coumaryl alcohol of substituted phenol cross-linked macromolecule (Sun et al, 2013; Watkins et al, 2015). Duan et al (2014) reported that expression of PRpha in resistant varieties is also higher than in a control after 12 h BPH infestation. PRpha and C4H genes may combine with PR9 genes to form lignin in resistant varieties.CONCLUSIONSWound-inducible genes (AOS, PR6, PR9 and PR15)。