基因组织特异性相关研究进展

研究基因的组织特异性是了解生命活动进程和组织功能的重要一步.尽管对于看家基因和组织特异基因的研究由来已久,但是对于它们仍缺少统一的定义方式和检测方法.在定义方式上,可以从基因的组织表达数和在各组织间的表达变化情况来分别定义看家基因和组织特异基因.通常将在大多数正常组织中有表达,且表达水平较稳定的基因称为看家基因,而将在一个或少数组织中优势表达的基因定义为组织特异基因或组织选择基因.在检测方法上,高通量实验技术,包括基因芯片、RNA-seq和质谱技术等已成为检测基因组织特异性的主要方法.通过比较多个典型研究的实验结果,发现不同检测方法的覆盖度和灵敏度存在很大差异,其中RNA-seq技术最为灵敏,获得的看家基因数目最多,质谱技术检测出来的看家基因和组织特异基因数目较少,而基因芯片方法给出的多个检测结果间差别较大.尽管不同的定义方式和检测方法所导致的看家基因(或组织特异基因)的集合不完全一致,但不同的看家基因数据集(或组织特异基因)却展现出非常一致的功能和特性.看家基因通常实现所有组织和细胞都必须的基本功能,而看家基因与其他组织表达基因间的相互作用以及组织特异基因间的相互作用则实现了组织的特有功能.同时,基因的组织特异性与疾病之间具有密切联系,相比其他基因,看家基因更有可能成为癌基因,而组织特异基因则更有希望发展成为药物靶标.     

An evaluation of the performance of cDNA microarrays for detecting changes in global mRNA expression

The cDNA microarray is one technological approach that has the potential to accurately measure changes in global mRNA expression levels. We report an assessment of an optimized cDNA microarray platform to generate accurate, precise and reliable data consistent with the objective of using microarrays as an acquisition platform to populate gene expression databases. The study design consisted of two independent evaluations with 70 arrays from two different manufactured lots and used three human tissue sources as samples: placenta, brain and heart. Overall signal response was linear over three orders of magnitude and the sensitivity for any element was estimated to be 2 pg mRNA. The calculated coefficient of variation for differential expression for all non-differentiated elements was 12–14% across the entire signal range and did not vary with array batch or tissue source. The minimum detectable fold change for differential expression was 1.4. Accuracy, in terms of bias (observed minus expected differential expression ratio), was less than 1 part in 10 000 for all non-differentiated elements. The results presented in this report demonstrate the reproducible performance of the cDNA microarray technology platform and the methods provide a useful framework for evaluating other technologies that monitor changes in global mRNA expression.