Evidence map›Paper›PMID 42842673›Full record

ArticleScience advances2026

Clonal lineage tracing and parallel multiomics profiling reveal transcriptional heterogeneity induced by ARID1A deficiency.

Kenichi Miyata, Liying Yang, Yuxiao Yang, Kohei Kumegawa, Reo Maruyama

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kenichi MiyataDivision of Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan.ORCID 0000-0002-8618-3105
Liying YangDivision of Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan.
Yuxiao YangDivision of Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan.
Kohei KumegawaCancer Cell Diversity Project, NEXT-Ganken Program, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan.ORCID 0000-0003-3732-2874
Reo MaruyamaDivision of Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan.ORCID 0000-0001-7166-5964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional heterogeneity drives malignant progression, yet how it emerges within tumors remains unclear. By combining genetic perturbation and lineage tracing with parallel single-cell multiomics, we tracked the consequences of ARID1A loss within individual clonal lineages. ARID1A deficiency increased transcriptional variability both within and across clones, recurrently giving rise to diverse transcriptional profiles that did not converge on a common, coordinated pattern. This variability was accompanied by broadened chromatin accessibility at normally silenced loci and depended on residual SMARCA4 activity. Clones in which this variability was prominent showed no growth advantage under standard conditions but were preferentially recovered under specific environmental stresses and during lung colonization, a context dependence consistent with bet-hedging. Our findings suggest that loss of an epigenetic regulator can promote tumor evolution by relaxing transcriptional constraints and widening the range of phenotypes accessible to a clonal lineage, rather than by imposing a single fixed phenotype.

Indexed as

Cell LineageDNA-Binding ProteinsGenetic HeterogeneityTranscription FactorsTranscription, GeneticAnimalsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMultiomicsSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisARID1A protein, humanDNA-Binding ProteinsTranscription Factors

Identifiers

PMID42842673
PMCPMC13644795

What Socratic holds

Textmetadata
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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 Socratic graph.