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利用 RNP-MaP 分析 RNA 与蛋白质相互作用网络,确定 RNA 上的功能枢纽。

Analysis of RNA-protein networks with RNP-MaP defines functional hubs on RNA.

机构信息

Department of Chemistry, University of North Carolina, Chapel Hill, NC, USA.

Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.

出版信息

Nat Biotechnol. 2021 Mar;39(3):347-356. doi: 10.1038/s41587-020-0709-7. Epub 2020 Oct 19.

Abstract

RNA-protein interaction networks govern many biological processes but are difficult to examine comprehensively. We devised ribonucleoprotein networks analyzed by mutational profiling (RNP-MaP), a live-cell chemical probing strategy that maps cooperative interactions among multiple proteins bound to single RNA molecules at nucleotide resolution. RNP-MaP uses a hetero-bifunctional crosslinker to freeze interacting proteins in place on RNA and then maps multiple bound proteins on single RNA strands by read-through reverse transcription and DNA sequencing. RNP-MaP revealed that RNase P and RMRP, two sequence-divergent but structurally related non-coding RNAs, share RNP networks and that network hubs define functional sites in these RNAs. RNP-MaP also identified protein interaction networks conserved between mouse and human XIST long non-coding RNAs and defined protein communities whose binding sites colocalize and form networks in functional regions of XIST. RNP-MaP enables discovery and efficient validation of functional protein interaction networks on long RNAs in living cells.

摘要

RNA 与蛋白质相互作用网络调控着许多生物过程,但全面研究这些网络具有一定难度。我们设计了一种通过突变分析(RNP-MaP)来解析核糖核蛋白网络的方法,这是一种活细胞化学探测策略,可以在核苷酸分辨率上绘制与单个 RNA 分子结合的多个蛋白质之间的合作相互作用。RNP-MaP 使用一种杂双功能交联剂将相互作用的蛋白质固定在 RNA 上,然后通过通读逆转录和 DNA 测序来绘制单个 RNA 链上的多个结合蛋白。RNP-MaP 揭示了 RNase P 和 RMRP 这两种序列不同但结构相关的非编码 RNA 共享 RNP 网络,而网络枢纽则定义了这些 RNA 中的功能位点。RNP-MaP 还鉴定了小鼠和人类 XIST 长非编码 RNA 之间保守的蛋白质相互作用网络,并定义了结合位点共定位并在 XIST 功能区域形成网络的蛋白质群落。RNP-MaP 能够在活细胞中发现和有效验证长 RNA 上的功能蛋白质相互作用网络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31c8/7956044/2679ecf42b93/nihms-1629607-f0001.jpg

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