Evidence map›Paper›PMID 41125591›Full record

ArticleNature communications2025

Deciphering histone mark-specific fine-scale chromatin organization at high resolution with Micro-C-ChIP.

Mariia Metelova, Maria Louisa Vigh, Nils Krietenstein

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

3 authors.

Mariia MetelovaCenter for Epigenetic Cell Memory, Danish Cancer Institute, Danish Cancer Society, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-5144-4398
Maria Louisa VighCenter for Epigenetic Cell Memory, Danish Cancer Institute, Danish Cancer Society, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-6271-6520
Nils KrietensteinCenter for Epigenetic Cell Memory, Danish Cancer Institute, Danish Cancer Society, Copenhagen, Denmark. nilkri@cancer.dk.ORCID http://orcid.org/0000-0003-2519-6305

Funding

Danmarks Grundforskningsfond (Danish National Research Foundation) DNRF195Lundbeckfonden (Lundbeck Foundation) R368-2021-1076Novo Nordisk Fonden (Novo Nordisk Foundation) NNF0069780Novo Nordisk Fonden (Novo Nordisk Foundation) NNF14CC0001
6 · The paper itself

Abstract

The regulation of cell-type-specific transcription relies on complex 3D interactions between promoters and distal regulatory elements. Although Hi-C has advanced our understanding of genome architecture, its high sequencing demand limits use in large-scale or time course experiments. We introduce Micro-C-ChIP, a strategy combining Micro-C with chromatin immunoprecipitation to map 3D genome organization at nucleosome resolution for defined histone modifications. We profile H3K4me3 and H3K27me3-specific 3D genome architecture in mouse embryonic stem cells (mESC), hTERT-immortalized human retinal pigment epithelial (hTERT-RPE1) cells, and HCT-116 RAD21-mAID-mClover (HCT-116 RAD21-mAC) cells. We validate that Micro-C-ChIP reveals genuine 3D genome features that are not driven by ChIP-enrichment bias. We identify extensive promoter-promoter contact networks in mESCs and hTERT-RPE1, and resolve the distinct 3D architecture of bivalent promoters in mESCs. Together, our results demonstrate that Micro-C-ChIP is a high-resolution, cost-efficient approach to study histone-modification-specific chromatin folding.

Indexed as

ChromatinChromatin ImmunoprecipitationHistone CodeHistonesAnimalsCell LineChromatin Immunoprecipitation SequencingHCT116 CellsHumansMiceMouse Embryonic Stem CellsNucleosomesPromoter Regions, GeneticRetinal Pigment EpitheliumChromatinHistonesNucleosomes

Identifiers

PMID41125591
PMCPMC12546738

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.