Lee Jerry, Hever Aniko, Willhite Dorian, Zlotnik Albert, Hevezi Peter
Department of Molecular Medicine, Neurocrine Biosciences Inc., San Diego, California, USA.
FASEB J. 2005 Aug;19(10):1356-8. doi: 10.1096/fj.04-3552fje. Epub 2005 Jun 13.
The Affymetrix GeneChip platform was used to build a gene expression database of the normal human body. Postmortem human tissues represent a valuable source of biological materials for this type of study, but their use entails some delays before harvesting such tissues. We first evaluated the RNA quality obtained from tissues obtained 3-5 h postmortem and found variations that were both tissue and donor-dependent. RNAs extracted from brain regions were of higher quality than those obtained from the gut, while the cause of death was a significant factor in donor-dependent differences. To avoid these variables, we used rat duodenum to determine the effects of RNA degradation on the analysis of gene expression. Surprisingly, even samples exhibiting significant RNA degradation yielded robust gene expression results, comparable to those obtained using intact samples at a certain signal intensity cutoff. We extended these findings to our human expression database and obtained similar results, indicating that the Affymetrix platform, which is biased to the 3' end of transcripts for detection, can tolerate significant RNA degradation, while still yielding high quality expression data. Our resulting body index expression database is a valuable research tool. As examples of potential uses, we report novel expression sites for four potential therapeutic targets--CCL27, GPR22, GPR113 and GPR128--and as well as a set of thymus-specific genes, including three not previously associated with the thymus.
使用Affymetrix基因芯片平台构建了正常人体的基因表达数据库。死后人体组织是这类研究中生物材料的宝贵来源,但使用这些组织在获取之前会有一些延迟。我们首先评估了死后3 - 5小时获取的组织的RNA质量,发现存在组织和供体依赖性的差异。从脑区提取的RNA质量高于从肠道获取的RNA,而死因是供体依赖性差异的一个重要因素。为避免这些变量,我们使用大鼠十二指肠来确定RNA降解对基因表达分析的影响。令人惊讶的是,即使是表现出显著RNA降解的样本也能产生可靠的基因表达结果,在一定信号强度阈值下与使用完整样本获得的结果相当。我们将这些发现扩展到我们的人类表达数据库并获得了类似结果,表明偏向转录本3'端进行检测的Affymetrix平台能够耐受显著的RNA降解,同时仍能产生高质量的表达数据。我们构建的身体指数表达数据库是一个有价值的研究工具。作为潜在用途的示例,我们报告了四个潜在治疗靶点——CCL27、GPR22、GPR113和GPR128——以及一组胸腺特异性基因的新表达位点,其中包括三个以前未与胸腺相关联的基因。