Evidence map›Paper›PMID 29695722›Full record

ArticleNature communications2018

Global profiling of protein-DNA and protein-nucleosome binding affinities using quantitative mass spectrometry.

Matthew M Makowski, Cathrin Gräwe, Benjamin M Foster, Nhuong V Nguyen, Till Bartke, Michiel Vermeulen

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

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  15. G-quadruplex DNA structure is a positive regulator ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

6 authors.

Matthew M MakowskiDepartment of Molecular Biology, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, 6500 HB, The Netherlands.
Cathrin GräweDepartment of Molecular Biology, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, 6500 HB, The Netherlands.
Benjamin M FosterInstitute of Functional Epigenetics, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Nhuong V NguyenMRC London Institute of Medical Sciences (LMS), London, W12 0NN, UK.ORCID http://orcid.org/0000-0003-4152-5113
Till BartkeInstitute of Functional Epigenetics, Helmholtz Zentrum München, 85764, Neuherberg, Germany. till.bartke@helmholtz-muenchen.de.
Michiel VermeulenDepartment of Molecular Biology, Radboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, 6500 HB, The Netherlands. michiel.vermeulen@science.ru.nl.ORCID http://orcid.org/0000-0003-0836-6894

Funding

European Research Council 309952Medical Research Council MC_UP_1102/2
6 · The paper itself

Abstract

Interaction proteomics studies have provided fundamental insights into multimeric biomolecular assemblies and cell-scale molecular networks. Significant recent developments in mass spectrometry-based interaction proteomics have been fueled by rapid advances in label-free, isotopic, and isobaric quantitation workflows. Here, we report a quantitative protein-DNA and protein-nucleosome binding assay that uses affinity purifications from nuclear extracts coupled with isobaric chemical labeling and mass spectrometry to quantify apparent binding affinities proteome-wide. We use this assay with a variety of DNA and nucleosome baits to quantify apparent binding affinities of monomeric and multimeric transcription factors and chromatin remodeling complexes.

Indexed as

Affinity LabelsChromatography, AffinityDNADNA-Binding ProteinsLigandsNucleosomesProteomeProteomicsTandem Mass SpectrometryAffinity LabelsDNADNA-Binding ProteinsLigandsNucleosomesProteome

Identifiers

PMID29695722
PMCPMC5916898

What OpenQuestion holds

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Registered trials

None linked

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.