Evidence map›Paper›PMID 40768587›Full record

ArticleScience advances2025

Combinatorial profiling of multiple histone modifications and transcriptome in single cells using scMTR-seq.

Yang Wang, Jingyu Li, Andrew A Malcolm, William Mansfield, Stephen J Clark, Ricard Argelaguet, Laura Biggins, Richard J Acton, Simon Andrews, Wolf Reik and 2 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. ECHOS enables spatial epigenome profiling at subcellular resolution.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Epigenetic remodeling during early embryonic development.Frontiers in cell and developmental biology · 2026
    Review
  7. Review
  8. Review
  9. Review
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

12 authors.

Yang WangEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0003-2802-5392
Jingyu LiEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0001-9677-7532
Andrew A MalcolmEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0001-6240-7701
William MansfieldEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.
Stephen J ClarkEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0002-6183-491X
Ricard ArgelaguetEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0003-3199-3722
Laura BigginsBioinformatics Group, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0002-0975-1121
Richard J ActonEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0002-2574-9611
Simon AndrewsBioinformatics Group, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0002-5006-3507
Wolf ReikEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0003-0216-9881
Gavin KelseyEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0002-9762-5634
Peter J Rugg-GunnEpigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK.ORCID 0000-0002-9601-5949

Funding

Wellcome Trust
6 · The paper itself

Abstract

Profiling combinations of histone modifications identifies gene regulatory elements in different states and discovers features controlling transcriptional and epigenetic programs. However, efforts to map chromatin states in complex, heterogeneous samples are hindered by the lack of methods that can profile multiple histone modifications together with transcriptomes in individual cells. Here, we describe single-cell multitargets and mRNA sequencing (scMTR-seq), a high-throughput method that enables simultaneous profiling of six histone modifications and transcriptome in single cells. We apply scMTR-seq to uncover dynamic and coordinated changes in chromatin states and transcriptomes during human endoderm differentiation. We also use scMTR-seq to produce lineage-resolved chromatin maps and gene regulatory networks in mouse blastocysts, revealing epigenetic asymmetries at gene regulatory regions between the three embryo lineages and identifying Trps1 as a potential repressor in epiblast cells of trophectoderm-associated enhancer networks and their target genes. Together, scMTR-seq enables investigation of combinatorial chromatin landscapes in a broad range of heterogeneous samples, providing insights into epigenetic regulatory systems.

Indexed as

Gene Expression ProfilingHistone CodeHistonesSingle-Cell AnalysisTranscriptomeAnimalsBlastocystCell DifferentiationChromatinEndodermEpigenesis, GeneticGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansMiceSequence Analysis, RNAChromatinHistones

Identifiers

PMID40768587
PMCPMC12327464

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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.