MICROARRAY ANALYSIS OF STEM CELL DIFFERENTIATION

干细胞分化的微阵列分析

• 批准号: 7602786
• 负责人: KELLEY W. MOREMEN
• 金额: $ 0.25万
• 依托单位: UNIVERSITY OF GEORGIA
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7602786
• 关键词: Bioinformatics; Cell Differentiation process; Cells; Computer Retrieval of Information on Scientific Projects Database; Data; Enzymes; Funding; Gene Expression Profiling; Genes; Glycolipids; Glycoproteins; Grant; Head; Institution; Methods; Microarray Analysis; Mus; Pattern; Polysaccharides; Population; Proteins; RNA; Research; Research Personnel; Resources; Reverse Transcriptase Polymerase Chain Reaction; Screening procedure; Source; Stem cells; Structure; Time; Tissues; Transcript; United States National Institutes of Health; embryonic stem cell; functional genomics; glycosylation; mRNA Expression; polyadenylated messenger RNA

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Transcript levels for various enzymes and proteins involved in murine cellular glycosylation and recognition have been quantitated by our qRT-PCR method allowing medium-throughput (>800 genes) transcript analysis. Parallel data was obtained by Dr. Steve Head, director of the Gene Microarray Core for the Consortium for Functional Genomics, who has developed a microarray chip that allows the screening of mRNA expression patterns for "glycan-related" genes in mouse cells and tissues. Poly(A+) mRNA and total RNA have been prepared from mouse ES cells and differentiated "embroid bodies", as well as several mouse tissues, and sent to the Gene Microarray Core for analysis of transcript expression with both their version 2 chip and more recently their version 3 chip. We have compared the results with equivalent data from our real-time RT-PCR analysis and determined that the our qRT-PCR approach is far superior to the microarray approaches. Ultimately, the transcript levels will be compared with the glycan structures associated with glycoproteins and glycolipids from the equivalent cell populations and all of the information will become part of the bioinformatics module for display and further correlation analysis.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 参与鼠类细胞糖基化和识别的各种酶和蛋白质的转录水平已是 通过我们的QRT-PCR方法定量，允许中等通讯（> 800个基因）转录本分析。并行数据是 由史蒂夫·海德博士（Steve Head 开发了一个微阵列芯片，该芯片允许筛选小鼠中“与聚糖相关”基因的mRNA表达模式 细胞和组织。 poly（a+）mRNA和总RNA已从小鼠ES细胞中制备，并分化了“刺绣 身体”以及几种小鼠组织，并发送到基因微阵列核心，以分析转录本的表达 他们的版本2芯片和最近的版本3芯片。我们已经将结果与等效数据进行了比较 我们的实时RT-PCR分析并确定我们的QRT-PCR方法远远超过了微阵列方法。 最终，将转录水平与与糖蛋白和糖脂相关的聚糖结构进行比较 从等效的单元格群体和所有信息都将成为用于显示的生物信息学模块的一部分 进一步的相关分析。