Wang Tzu-Hao, Lee Yun-Shien, Hwang Shiaw-Min
Bioresource Collection and Research Center (BCRC), Food Industry Research and Development Institute, Hsinchu, Taiwan.
Methods Mol Biol. 2011;698:405-17. doi: 10.1007/978-1-60761-999-4_29.
We have used Affymetrix oligonucleotide microarrays to analyze common transcriptomes and thereby learn about the core gene expression profile in human mesenchymal stem cells (MSC) from different tissues, including fetal amniotic fluid-derived MSC, term pregnancy amniotic membrane-derived MSC, term pregnancy umbilical cord blood-derived MSC, and adult bone marrow-derived MSC. The beauty of microarray analysis of gene expression (MAGE) is that it can be used to discover associating genes that were previously thought to be unrelated to a physiological or pathological event. However, interpreting complex biological processes from gene expression profiles often requires extensive knowledge mining in biomedical literature. In this chapter, we describe, step-by-step, how to use a commercially available biological database and software program, MetaCore (GeneGo Inc.), for functional network analysis.
我们使用了Affymetrix寡核苷酸微阵列来分析常见转录组,从而了解来自不同组织的人间充质干细胞(MSC)的核心基因表达谱,这些组织包括胎儿羊水来源的MSC、足月妊娠羊膜来源的MSC、足月妊娠脐带血来源的MSC以及成人骨髓来源的MSC。基因表达微阵列分析(MAGE)的优势在于它可用于发现先前被认为与生理或病理事件无关的关联基因。然而,从基因表达谱解读复杂的生物学过程通常需要在生物医学文献中进行广泛的知识挖掘。在本章中,我们将逐步描述如何使用市售的生物数据库和软件程序MetaCore(GeneGo公司)进行功能网络分析。