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Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2021 May 21; Vol. 49 (9), pp. e49. - Publication Year :
- 2021
-
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.<br /> (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Subjects :
- Binding Sites
CCAAT-Binding Factor genetics
CCAAT-Binding Factor metabolism
Green Fluorescent Proteins genetics
Green Fluorescent Proteins immunology
HeLa Cells
Humans
Mass Spectrometry
Proto-Oncogene Proteins c-fos genetics
Proto-Oncogene Proteins c-fos metabolism
Recombinant Fusion Proteins analysis
Single-Domain Antibodies
TATA-Box Binding Protein genetics
TATA-Box Binding Protein metabolism
Genomics methods
Proteomics methods
Transcription Factors metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 49
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 33524153
- Full Text :
- https://doi.org/10.1093/nar/gkab038