RNA Bind-n-Seq: Quantitative Assessment of the Sequence and Structural Binding Specificity of RNA Binding Proteins
Name
Burge_RNA bind-n-seq.pdf
Size
1.39 MB
Format
Adobe PDF
Checksum (MD5)
f1ef20dacc99af681c7df3d2fa50e01d
Author(s) • • • • •
Lambert, Nicole
Robertson, Alex De Jong
Jangi, Mohini Rohit
McGeary, Sean Edward
Sharp, Phillip A.
Burge, Christopher B.
Date Issued
May 2014
Journal
Molecular Cell
Publisher
Elsevier
Citation
Lambert, Nicole; Robertson, Alex; Jangi, Mohini; McGeary, Sean; Sharp, Phillip A. and Burge, Christopher B. “RNA Bind-n-Seq: Quantitative Assessment of the Sequence and Structural Binding Specificity of RNA Binding Proteins.” Molecular Cell 54, no. 5 (June 2014): 887–900 © 2014 Elsevier Inc
Version
Author's final manuscript
Abstract
Specific protein-RNA interactions guide posttranscriptional gene regulation. Here, we describe RNA Bind-n-Seq (RBNS), a method that comprehensively characterizes sequence and structural specificity of RNA binding proteins (RBPs), and its application to the developmental alternative splicing factors RBFOX2, CELF1/CUGBP1, and MBNL1. For each factor, we recovered both canonical motifs and additional near-optimal binding motifs. RNA secondary structure inhibits binding of RBFOX2 and CELF1, while MBNL1 favors unpaired Us but tolerates C/G pairing in motifs containing UGC and/or GCU. Dissociation constants calculated from RBNS data using a novel algorithm correlated highly with values measured by surface plasmon resonance. Motifs identified by RBNS were conserved, were bound and active in vivo, and distinguished the subset of motifs enriched by CLIP-Seq that had regulatory activity. Together, our data demonstrate that RBNS complements crosslinking-based methods and show that in vivo binding and activity of these splicing factors is driven largely by intrinsic RNA affinity.
MIT Department
Massachusetts Institute of Technology. Computational and Systems Biology Program
Massachusetts Institute of Technology. Department of Biology
Whitehead Institute for Biomedical Research
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.molcel.2014.04.016