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

Publication date

2021-05-21

Authors

Nizamuddin, Sheikh
Koidl, Stefanie
Bhuiyan, Tanja
Werner, Tamara V.
Biniossek, Martin L.
Bonvin, Alexandre M.J.J.ORCID 0000-0001-7369-1322ISNI 0000000396501354
Lassmann, Silke
Timmers, Hthmarc

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

cc_by_nc

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.

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, Genetics

Citation

Nizamuddin, S, Koidl, S, Bhuiyan, T, Werner, T V, Biniossek, M L, Bonvin, A M J J, Lassmann, S & Timmers, H 2021, 'Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT &RUN', Nucleic Acids Research, vol. 49, no. 9, E49, pp. 1-18. https://doi.org/10.1093/nar/gkab038