ArticleResearch square2026
Transcriptional heterogeneity predicts and enables clonal selection in ageing haematopoiesis.
Marco De Dominici, Kailiang Qian, Xunxuan Chen, Yang Liu, Qiuyang Zhang, James S Chavez, Xiaowen Chen, Travis Roeder, Hideyuki Oguro, Eric Pietras and 2 more
Abstract readPreprint
In one paragraphArticle in Research square, 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Marco De DominiciDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO.ORCID 0000-0002-1019-1715 Kailiang QianDepartment of Cancer Biology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Xunxuan ChenDepartment of Cancer Biology, Keck School of Medicine, University of Southern California, Los Angeles, CA.ORCID 0009-0005-4551-8801 Yang LiuDepartment of Cancer Biology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Qiuyang ZhangDepartment of Cancer Biology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
James S ChavezCancer Institute, Stanford University School of Medicine, Stanford, CA.
Xiaowen ChenJackson Laboratory for Genome Medicine, Farmington, CT.
Travis RoederDepartment of Cell Biology, University of Connecticut School of Medicine, Farmington, CT.
Hideyuki OguroDepartment of Cell Biology, University of Connecticut School of Medicine, Farmington, CT.
Eric PietrasDivision of Hematology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO.ORCID 0000-0002-7339-8828 James DeGregoriDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO.ORCID 0000-0002-1287-1976 Sheng LiDepartment of Cancer Biology, Keck School of Medicine, University of Southern California, Los Angeles, CA.ORCID 0000-0002-9543-6274 Funding
USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4MUniversity of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0MAn Integrative Computational Framework for DNA Hydroxymethylation Data Mining and InterpretationR35GM133562 · NIGMS · JACKSON LABORATORY · PI LI, SHENG · 2019 to 2023
$2.4MThe impact of reduction of cellular senescence on age-related epigenetic heterogeneityU01CA271830 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEGREGORI, JAMES V, LI, SHENG · 2021 to 2025
$1.9MAged tissue environments as drivers of oncogenic adaptation in hematopoiesisR01AG066544 · NIA · UNIVERSITY OF COLORADO DENVER · PI DEGREGORI, JAMES V · 2020 to 2024
$1.1MComputational interrogation of Epigenetic Regulation in Cellular Plasticity and HeterogeneityR35GM162228 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sheng Li · 2026 to 2026
$590k3D Genome Reorganization and Epigenome Dynamics of Clonal HematopoiesisR56AG071766 · NIA · JACKSON LABORATORY · PI LI, SHENG, OGURO, HIDEYUKI · 2022 to 2022
$343kNCI NIH HHS P30 CA014089NCI NIH HHS P30 CA046934NCI NIH HHS U01 CA271830NIA NIH HHS R01 AG066544NIA NIH HHS R56 AG071766NIGMS NIH HHS R35 GM133562NIGMS NIH HHS R35 GM162228
6 · The paper itselfAbstract
A general puzzle in stem-cell and ageing biology is why a few cellular clones come to dominate an ageing tissue while otherwise similar neighbours do not, a fate that the average transcriptional state of a cell predicts poorly. Here we ask whether the variability between sister cells of a clone, rather than their transcriptional state, is the property that predicts ageing-associated clonal selection, using the haematopoietic stem cell (HSC) as a tractable test case. We combine heritable lineage tracing with single-cell RNA sequencing across heterochronic and homochronic transplantation models to link early transcriptional states of individual HSC clones to their long-term functional output
Identifiers
PMID42396490
PMCPMC13321246
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390