Howard Hughes Medical Institute and Laboratory for RNA Molecular Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10065, United States.
Curr Opin Genet Dev. 2013 Feb;23(1):20-8. doi: 10.1016/j.gde.2013.01.003. Epub 2013 Feb 28.
The advent of high-throughput technologies including deep-sequencing and protein mass spectrometry is facilitating the acquisition of large and precise data sets toward the definition of post-transcriptional regulatory networks. While early studies that investigated specific RNA-protein interactions in isolation laid the foundation for our understanding of the existence of molecular machines to assemble and process RNAs, there is a more recent appreciation of the importance of individual RNA-protein interactions that contribute to post-transcriptional gene regulation. The multitude of RNA-binding proteins (RBPs) and their many RNA targets has only been captured experimentally in recent times. In this review, we will examine current multidisciplinary approaches toward elucidating RNA-protein networks and their regulation.
高通量技术的出现,包括深度测序和蛋白质质谱分析,正在促进大规模和精确数据集的获取,以定义转录后调控网络。虽然早期的研究孤立地研究了特定的 RNA-蛋白质相互作用,为我们理解组装和加工 RNA 的分子机器的存在奠定了基础,但最近人们更加重视单个 RNA-蛋白质相互作用在转录后基因调控中的重要性。大量的 RNA 结合蛋白 (RBP) 和它们的许多 RNA 靶标只是在最近才被实验捕获。在这篇综述中,我们将探讨目前阐明 RNA-蛋白质网络及其调控的多学科方法。