基于转录组学的方法揭示细胞内 RNA 定位机制。
Transcriptome-scale methods for uncovering subcellular RNA localization mechanisms.
机构信息
Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; RNA Bioscience Initiative, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
出版信息
Biochim Biophys Acta Mol Cell Res. 2022 Apr;1869(4):119202. doi: 10.1016/j.bbamcr.2021.119202. Epub 2022 Jan 6.
Abstract
Across a variety of systems, thousands of RNAs are localized to specific subcellular locations. However, for the vast majority of these RNAs, the mechanisms that underlie their transport are unknown. Historically, these mechanisms were uncovered for a single transcript at a time by laboriously testing the ability of RNA fragments to direct transcript localization. Recently developed methods profile the content of subcellular transcriptomes using high-throughput sequencing, allowing the analysis of the localization of thousands of transcripts at once. By identifying commonalities shared among multiple localized transcripts, these methods have the potential to rapidly expand our understanding of RNA localization mechanisms.
摘要
在各种系统中，数千种 RNA 被定位到特定的亚细胞位置。然而，对于这些 RNA 的绝大多数，其运输的基础机制仍然未知。从历史上看，这些机制是通过费力地测试 RNA 片段指导转录本定位的能力，一次针对单个转录本进行揭示的。最近开发的方法使用高通量测序对亚细胞转录组的内容进行分析，从而可以一次分析数千个转录本的定位。通过识别多个定位转录本之间的共同特征，这些方法有可能迅速扩展我们对 RNA 定位机制的理解。
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