Literature DB >> 31076284

R-DeeP: Proteome-wide and Quantitative Identification of RNA-Dependent Proteins by Density Gradient Ultracentrifugation.

Maiwen Caudron-Herger1, Scott F Rusin2, Mark E Adamo3, Jeanette Seiler4, Vera K Schmid4, Elsa Barreau4, Arminja N Kettenbach5, Sven Diederichs6.   

Abstract

The comprehensive but specific identification of RNA-binding proteins as well as the discovery of RNA-associated protein functions remain major challenges in RNA biology. Here we adapt the concept of RNA dependence, defining a protein as RNA dependent when its interactome depends on RNA. We converted this concept into a proteome-wide, unbiased, and enrichment-free screen called R-DeeP (RNA-dependent proteins), based on density gradient ultracentrifugation. Quantitative mass spectrometry identified 1,784 RNA-dependent proteins, including 537 lacking known links to RNA. Exploiting the quantitative nature of R-DeeP, proteins were classified as not, partially, or completely RNA dependent. R-DeeP identified the transcription factor CTCF as completely RNA dependent, and we uncovered that RNA is required for the CTCF-chromatin association. Additionally, R-DeeP allows reconstruction of protein complexes based on co-segregation. The whole dataset is available at http://R-DeeP.dkfz.de, providing proteome-wide, specific, and quantitative identification of proteins with RNA-dependent interactions and aiming at future functional discovery of RNA-protein complexes.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CTCF; R-DeeP; RNA; RNA dependence; RNA-binding protein; RNase; density gradient; mass spectrometry; proteome-wide; proteomics

Mesh:

Substances:

Year:  2019        PMID: 31076284      PMCID: PMC6625853          DOI: 10.1016/j.molcel.2019.04.018

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


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