Baroni Timothy E, Chittur Sridar V, George Ajish D, Tenenbaum Scott A
Department of Biomedical Sciences, University at Albany-SUNY, School of Public Health, Rensselaer, NY, USA.
Methods Mol Biol. 2008;419:93-108. doi: 10.1007/978-1-59745-033-1_6.
In eukaryotic organisms, gene regulatory networks require an additional level of coordination that links transcriptional and post-transcriptional processes. Messenger RNAs have traditionally been viewed as passive molecules in the pathway from transcription to translation. However, it is now clear that RNA-binding proteins (RBPs) play a major role in regulating multiple mRNAs to facilitate gene expression patterns. On this basis, post-transcriptional and transcriptional gene expression networks appear to be very analogous. Our previous research focused on targeting RBPs to develop a better understanding of post-transcriptional gene-expression processing and the regulation of mRNA networks. We developed technologies for purifying endogenously formed RBP-mRNA complexes from cellular extracts and identifying the associated messages using genome-scale, microarray technology, a method called ribonomics or RNA-binding protein immunoprecipitation-microarray (Chip) profiling or RIP-Chip. The use of the RIP-Chip methods has provided great insight into the infrastructure of coordinated eukaryotic post-transcriptional gene expression, insights which could not have been obtained using traditional RNA expression profiling approaches (1). This chapter describes the most current RIP-Chip techniques as we presently practice them. We also discuss some of the informatic aspects that are unique to analyzing RIP-Chip data.
在真核生物中,基因调控网络需要额外的协调层次来连接转录和转录后过程。传统上,信使核糖核酸(mRNA)在从转录到翻译的过程中被视为被动分子。然而,现在很清楚的是,RNA结合蛋白(RBP)在调节多个mRNA以促进基因表达模式方面发挥着主要作用。在此基础上,转录后和转录基因表达网络似乎非常相似。我们之前的研究集中在靶向RBP,以更好地理解转录后基因表达过程和mRNA网络的调控。我们开发了从细胞提取物中纯化内源性形成的RBP-mRNA复合物,并使用基因组规模的微阵列技术鉴定相关信息的技术,这种方法称为核糖组学或RNA结合蛋白免疫沉淀-微阵列(芯片)分析或RIP-芯片。RIP-芯片方法的使用为协调的真核转录后基因表达的基础设施提供了深刻见解,这些见解是使用传统RNA表达谱分析方法无法获得的(1)。本章描述了我们目前实践的最新RIP-芯片技术。我们还讨论了分析RIP-芯片数据所特有的一些信息学方面。