Evidence map›Paper›PMID 42072702›Full record

ArticleBiomolecules2026

Fluorescence-Guided Spatial Mapping of p21-Expressing Senescent Cells in Aged Liver at Single-Cell Resolution.

Jer-En Hsu, Binsheng Wang, Yongha Hwang, Weiqiu Cheng, Qingyang Zhao, Yichen Si, Ming Xu, Hyun-Min Kang, Jun Hee Lee

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

9 authors.

Jer-En HsuDepartment of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA.
Binsheng WangMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-0339-7483
Yongha HwangDepartment of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA.
Weiqiu ChengDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Qingyang ZhaoDepartment of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0009-0002-4549-3104
Yichen SiDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Ming XuMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN 55455, USA.
Hyun-Min KangDepartment of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Jun Hee LeeDepartment of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-2200-6011

Funding

Chan Zuckerberg Initiative H.M.K.Glenn Foundation for Medical Research Glenn Foundation Core grantsNIH HHS R01AG079163 to J.H.L., U01HL137182 to H.M.K., and UH3CA268091 to J.H.L. and P30AG024824, P30AG013283, P30DK034933, P30DK089503, P30CA046592, P30AR069620, and U2CDK110768Taiwanese Government Fellowship J.E.H.Taubman Institute TIIP
6 · The paper itself

Abstract

Aging is a regulated process marked by the accumulation of senescent cells, which remain viable but no longer divide. Senescent cells contribute to age-associated phenotypes and diseases, including osteoarthritis, dementia, and cancer, but their scarcity and heterogeneity have limited study. Here, we developed a fluorescence-guided high-resolution spatial transcriptomic profiling approach to precisely locate and profile p21-reporter-positive cells in aged liver. This method enabled unbiased detection of a p21-associated, senescence-enriched cell population and revealed its diverse cellular identities, including hepatocytes, macrophages, neutrophils, and plasma cells. Our analysis further showed that activated macrophages and hepatic stellate cells were more likely to exhibit a p21 positive (p21

Indexed as

AgingCellular SenescenceCyclin-Dependent Kinase Inhibitor p21LiverSingle-Cell AnalysisAnimalsFluorescenceGene Expression ProfilingHepatic Stellate CellsHepatocytesHumansMacrophagesMiceSenescence-Associated Secretory PhenotypeSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsCyclin-Dependent Kinase Inhibitor p21agingcell senescenceGpnmbp21Seq-Scopespatial transcriptomics

Identifiers

PMID42072702
PMCPMC13113322

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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.