Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN

Sheikh Nizamuddin, Stefanie Koidl, Tanja Bhuiyan, Tamara V. Werner, Martin L. Biniossek, Alexandre M.J.J. Bonvin, Silke Lassmann, Hthmarc Timmers

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Genome-wide localization of chromatin and transcription regulators can be detected by a variety of techniques. Here, we describe a novel method 'greenCUT&RUN' for genome-wide profiling of transcription regulators, which has a very high sensitivity, resolution, accuracy and reproducibility, whilst assuring specificity. Our strategy begins with tagging of the protein of interest with GFP and utilizes a GFP-specific nanobody fused to MNase to profile genome-wide binding events. By using a GFP-nanobody the greenCUT&RUN approach eliminates antibody dependency and variability. Robust genomic profiles were obtained with greenCUT&RUN, which are accurate and unbiased towards open chromatin. By integrating greenCUT&RUN with nanobody-based affinity purification mass spectrometry, 'piggy-back' DNA binding events can be identified on a genomic scale. The unique design of greenCUT&RUN grants target protein flexibility and yields high resolution footprints. In addition, greenCUT&RUN allows rapid profiling of mutants of chromatin and transcription proteins. In conclusion, greenCUT&RUN is a widely applicable and versatile genome-mapping technique.

Original languageEnglish
Article numberE49
Pages (from-to)1-18
JournalNucleic Acids Research
Volume49
Issue number9
DOIs
Publication statusPublished - 21 May 2021

Bibliographical note

© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

Keywords

  • Binding Sites
  • CCAAT-Binding Factor/genetics
  • Genomics/methods
  • Green Fluorescent Proteins/genetics
  • HeLa Cells
  • Humans
  • Mass Spectrometry
  • Proteomics/methods
  • Proto-Oncogene Proteins c-fos/genetics
  • Recombinant Fusion Proteins/analysis
  • Single-Domain Antibodies
  • TATA-Box Binding Protein/genetics
  • Transcription Factors/metabolism

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