Evidence map›Paper›PMID 33846645›Full record

ArticleNature biotechnology2021

Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues.

Marek Bartosovic, Mukund Kabbe, Gonçalo Castelo-Branco

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 323 papers.

0numbers the graph read from it
0cells of the map it votes in
323citing papers in PubMed
28.2field-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

323 citing papers in PubMed, 464 citations in OpenAlex.

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  13. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
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  16. Genome-wide chromatin recording resolves dynamic cell state changes.bioRxiv : the preprint server for biology · 2026
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263 more citing papers are in PubMed but not listed here.

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 at 1 institution in 2 countries.

Marek BartosovicLaboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. bartosovic.marek@gmail.com.ORCID http://orcid.org/0000-0003-2057-6050
Mukund KabbeLaboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Gonçalo Castelo-BrancoLaboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. Goncalo.Castelo-Branco@ki.se.ORCID http://orcid.org/0000-0003-2247-9393
Karolinska Institutet · SE

Funding

European Research Council 681893
6 · The paper itself

Abstract

In contrast to single-cell approaches for measuring gene expression and DNA accessibility, single-cell methods for analyzing histone modifications are limited by low sensitivity and throughput. Here, we combine the CUT&Tag technology, developed to measure bulk histone modifications, with droplet-based single-cell library preparation to produce high-quality single-cell data on chromatin modifications. We apply single-cell CUT&Tag (scCUT&Tag) to tens of thousands of cells of the mouse central nervous system and probe histone modifications characteristic of active promoters, enhancers and gene bodies (H3K4me3, H3K27ac and H3K36me3) and inactive regions (H3K27me3). These scCUT&Tag profiles were sufficient to determine cell identity and deconvolute regulatory principles such as promoter bivalency, spreading of H3K4me3 and promoter-enhancer connectivity. We also used scCUT&Tag to investigate the single-cell chromatin occupancy of transcription factor OLIG2 and the cohesin complex component RAD21. Our results indicate that analysis of histone modifications and transcription factor occupancy at single-cell resolution provides unique insights into epigenomic landscapes in the central nervous system.

Indexed as

AnimalsBrainCluster AnalysisGene Expression RegulationHistonesHumansMiceSingle-Cell AnalysisTranscription FactorsHistonesTranscription Factors

Identifiers

PMID33846645
PMCPMC7611252
OpenAlexW3156830838

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.