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easyCLIP analysis of RNA-protein interactions incorporating absolute quantification

Author

Listed:
  • Douglas F. Porter

    (Stanford University
    Stanford University)

  • Weili Miao

    (Stanford University
    Stanford University)

  • Xue Yang

    (Stanford University
    Stanford University)

  • Grant A. Goda

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Andrew L. Ji

    (Stanford University
    Stanford University)

  • Laura K. H. Donohue

    (Stanford University
    Stanford University)

  • Maria M. Aleman

    (University of North Carolina at Chapel Hill)

  • Daniel Dominguez

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Paul A. Khavari

    (Stanford University
    Stanford University
    Veterans Affairs, Palo Alto Healthcare System)

Abstract

Quantitative criteria to identify proteins as RNA-binding proteins (RBPs) are presently lacking, as are criteria to define RBP target RNAs. Here, we develop an ultraviolet (UV) cross-linking immunoprecipitation (CLIP)-sequencing method, easyCLIP. easyCLIP provides absolute cross-link rates, as well as increased simplicity, efficiency, and capacity to visualize RNA libraries during sequencing library preparation. Measurement of >200 independent cross-link experiments across >35 proteins identifies an RNA cross-link rate threshold that distinguishes RBPs from non-RBPs and defines target RNAs as those with a complex frequency unlikely for a random protein. We apply easyCLIP to the 33 most recurrent cancer mutations across 28 RBPs, finding increased RNA binding per RBP molecule for KHDRBS2 R168C, A1CF E34K and PCBP1 L100P/Q cancer mutations. Quantitating RBP-RNA interactions can thus nominate proteins as RBPs and define the impact of specific disease-associated RBP mutations on RNA association.

Suggested Citation

  • Douglas F. Porter & Weili Miao & Xue Yang & Grant A. Goda & Andrew L. Ji & Laura K. H. Donohue & Maria M. Aleman & Daniel Dominguez & Paul A. Khavari, 2021. "easyCLIP analysis of RNA-protein interactions incorporating absolute quantification," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21623-4
    DOI: 10.1038/s41467-021-21623-4
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    Cited by:

    1. Hannah E. Salapa & Patricia A. Thibault & Cole D. Libner & Yulian Ding & Joseph-Patrick W. E. Clarke & Connor Denomy & Catherine Hutchinson & Hashim M. Abidullah & S. Austin Hammond & Landon Pastushok, 2024. "hnRNP A1 dysfunction alters RNA splicing and drives neurodegeneration in multiple sclerosis (MS)," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

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