Evidence map›Paper›PMID 32123383›Full record

ArticleNature biotechnology2020

ChromID identifies the protein interactome at chromatin marks.

Rodrigo Villaseñor, Ramon Pfaendler, Christina Ambrosi, Stefan Butz, Sara Giuliani, Elana Bryan, Thomas W Sheahan, Annika L Gable, Nina Schmolka, Massimiliano Manzo and 6 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
9.5field-weighted citation impact, top 1% of its field
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

81 citing papers in PubMed, 149 citations in OpenAlex.

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  7. Genome-wide chromatin recording resolves dynamic cell state changes.bioRxiv : the preprint server for biology · 2026
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 2 countries.

Rodrigo VillaseñorDepartment of Molecular Mechanism of Disease, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3644-9817
Ramon PfaendlerDepartment of Molecular Mechanism of Disease, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-3312-5152
Christina AmbrosiDepartment of Molecular Mechanism of Disease, University of Zurich, Zurich, Switzerland.
Stefan ButzDepartment of Molecular Mechanism of Disease, University of Zurich, Zurich, Switzerland.
Sara GiulianiDepartment of Molecular Mechanism of Disease, University of Zurich, Zurich, Switzerland.
Elana BryanWellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
Thomas W SheahanWellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
Annika L GableLife Science Zurich Graduate School, University of Zurich and ETH Zurich, Zurich, Switzerland.
Nina SchmolkaDepartment of Molecular Mechanism of Disease, University of Zurich, Zurich, Switzerland.
Massimiliano ManzoDepartment of Molecular Mechanism of Disease, University of Zurich, Zurich, Switzerland.
Joël WirzDepartment of Molecular Mechanism of Disease, University of Zurich, Zurich, Switzerland.
Christian FellerDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Christian von MeringInstitute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-7734-9102
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-9576-3267
Philipp VoigtWellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
Tuncay BaubecDepartment of Molecular Mechanism of Disease, University of Zurich, Zurich, Switzerland. tuncay.baubec@uzh.ch.ORCID http://orcid.org/0000-0001-8474-6587
University of Zurich · CHWellcome Centre for Cell Biology · GBSIB Swiss Institute of Bioinformatics · CHETH Zurich · CH

Funding

European Research Council 639253European Research Council 670821Swiss National Science Foundation 107679Swiss National Science Foundation 157488Wellcome Trust 101527/Z/13/ZWellcome Trust 104175Wellcome Trust 105244Wellcome Trust 203149
6 · The paper itself

Abstract

Chromatin modifications regulate genome function by recruiting proteins to the genome. However, the protein composition at distinct chromatin modifications has yet to be fully characterized. In this study, we used natural protein domains as modular building blocks to develop engineered chromatin readers (eCRs) selective for DNA methylation and histone tri-methylation at H3K4, H3K9 and H3K27 residues. We first demonstrated their utility as selective chromatin binders in living cells by stably expressing eCRs in mouse embryonic stem cells and measuring their subnuclear localization, genomic distribution and histone-modification-binding preference. By fusing eCRs to the biotin ligase BASU, we established ChromID, a method for identifying the chromatin-dependent protein interactome on the basis of proximity biotinylation, and applied it to distinct chromatin modifications in mouse stem cells. Using a synthetic dual-modification reader, we also uncovered the protein composition at bivalently modified promoters marked by H3K4me3 and H3K27me3. These results highlight the ability of ChromID to obtain a detailed view of protein interaction networks on chromatin.

Indexed as

ChromatinHistonesAnimalsCells, CulturedDNA MethylationEmbryonic Stem CellsMiceProtein Interaction MappingProtein Interaction MapsProteomicsChromatinHistones

Identifiers

PMID32123383
PMCPMC7289633
OpenAlexW3009046244

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.