Evidence map›Paper›PMID 33524153›Full record

ArticleNucleic acids research2021

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

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sheikh NizamuddinDepartment of Urology, Medical Center-University of Freiburg, 79016 Freiburg, Germany.
Stefanie KoidlDepartment of Urology, Medical Center-University of Freiburg, 79016 Freiburg, Germany.
Tanja BhuiyanDepartment of Urology, Medical Center-University of Freiburg, 79016 Freiburg, Germany.
Tamara V WernerGerman Cancer Consortium (DKTK) partner site Freiburg, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Martin L BiniossekInstitute for Molecular Medicine and Cell Research, Medical Center-University of Freiburg, 79016 Freiburg, Germany.
Alexandre M J J BonvinBijvoet Centre for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Utrecht 3584CH, the Netherlands.
Silke LassmannGerman Cancer Consortium (DKTK) partner site Freiburg, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
HThMarc TimmersDepartment of Urology, Medical Center-University of Freiburg, 79016 Freiburg, Germany.ORCID 0000-0001-7062-1417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Binding SitesCCAAT-Binding FactorGenomicsGreen Fluorescent ProteinsHeLa CellsHumansMass SpectrometryProteomicsProto-Oncogene Proteins c-fosRecombinant Fusion ProteinsSingle-Domain AntibodiesTATA-Box Binding ProteinTranscription FactorsCCAAT-Binding FactorFOS protein, humanGreen Fluorescent ProteinsNFYA protein, humanProto-Oncogene Proteins c-fosRecombinant Fusion ProteinsSingle-Domain AntibodiesTATA-Box Binding ProteinTranscription Factors

Identifiers

PMID33524153
PMCPMC8136828

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.