4.8 Article

SONAR Discovers RNA-Binding Proteins from Analysis of Large-Scale Protein-Protein Interactomes

Journal

MOLECULAR CELL
Volume 64, Issue 2, Pages 282-293

Publisher

CELL PRESS
DOI: 10.1016/j.molcel.2016.09.003

Keywords

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Funding

  1. NIH [HG004659, U54HG007005, NS075449]
  2. Stowers Institute for Medical Research
  3. University of California, San Diego
  4. Genetics Training Program through National Institute of General Medical Sciences [T32 GM008666]
  5. California Institute for Regenerative Medicine Training Program (CIRM)

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RNA metabolism is controlled by an expanding, yet incomplete, catalog of RNA-binding proteins (RBPs), many of which lack characterized RNA binding domains. Approaches to expand the RBP repertoire to discover non-canonical RBPs are currently needed. Here, HaloTag fusion pull down of 12 nuclear and cytoplasmic RBPs followed by quantitative mass spectrometry (MS) demonstrates that proteins interacting with multiple RBPs in an RNA-dependent manner are enriched for RBPs. This motivated SONAR, a computational approach that predicts RNA binding activity by analyzing large-scale affinity precipitation-MS protein-protein interactomes. Without relying on sequence or structure information, SONAR identifies 1,923 human, 489 fly, and 745 yeast RBPs, including over 100 human candidate RBPs that contain zinc finger domains. Enhanced CLIP confirms RNA binding activity and identifies transcriptome-wide RNA binding sites for SONAR-predicted RBPs, revealing unexpected RNA binding activity for disease-relevant proteins and DNA binding proteins.

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