Evidence map›Paper›PMID 39987255›Full record

ArticleNature communications2025

Unveiling the cell-type-specific landscape of cellular senescence through single-cell transcriptomics using SenePy.

Mark A Sanborn, Xinge Wang, Shang Gao, Yang Dai, Jalees Rehman

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Age-associated Autoimmunity Driven by T cell Immunosenescence.bioRxiv : the preprint server for biology · 2026
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  6. TTNCell reports · 2026
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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.

Mark A SanbornDepartment of Biochemistry and Molecular Genetics, University of Illinois, College of Medicine, Chicago, Illinois, USA. msanbo2@uic.edu.ORCID http://orcid.org/0000-0001-5308-4680
Xinge WangDepartment of Biochemistry and Molecular Genetics, University of Illinois, College of Medicine, Chicago, Illinois, USA.ORCID http://orcid.org/0000-0003-0028-8510
Shang GaoDepartment of Biochemistry and Molecular Genetics, University of Illinois, College of Medicine, Chicago, Illinois, USA.
Yang DaiCenter for Bioinformatics and Quantitative Biology, University of Illinois Chicago, Chicago, Illinois, USA.ORCID http://orcid.org/0000-0002-7638-849X
Jalees RehmanDepartment of Biochemistry and Molecular Genetics, University of Illinois, College of Medicine, Chicago, Illinois, USA. jalees@uic.edu.ORCID http://orcid.org/0000-0002-2787-9292

Funding

The Lung Endothelium as an Instructive Niche for the Innate Immune System during Vascular InjuryP01HL160469 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DOLLY MEHTA · 2022 to 2026
$14.0M
Synthetic Biology and Optogenetics CoreP01HL151327 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KIM, KIWOOK · 2021 to 2025
$11.8M
Mechanisms and Treatment of SARS-CoV-2 induced Lung Endothelial InjuryR01HL162308 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI REHMAN, JALEES, RICHNER, JUSTIN · 2022 to 2025
$2.9M
iPSC-Derived Vascularized Human Lung Organoids and Interaction Between Lung Endothelial Cells and Alveolar Epithelial CellsR01HL163978 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KADUR LAKSHMINARASIM, PREETISH, REHMAN, JALEES · 2022 to 2025
$2.9M
Amplification Mechanisms of Lung Endothelial Inflammation During Acute Lung InjuryR01HL152515 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI REHMAN, JALEES · 2021 to 2024
$2.3M
Training Program in Personalized Cardiovascular Medicine (TPIPCVM)T32HL139439 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DARBAR, DAWOOD · 2018 to 2022
$2.1M
Pathogen-induced cellular senescence and blood-brain barrier dysfunction in Alzheimer's DiseaseR01AG091545 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Jalees Rehman · 2025 to 2026
$1.6M
Endogenous drivers of endothelial inflammation in Alzheimer's DiseaseF31AG090005 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SANBORN, MARK ALLEN · 2024 to 2025
$99k
NHLBI NIH HHS P01 HL151327NHLBI NIH HHS P01 HL160469NHLBI NIH HHS R01 HL152515NHLBI NIH HHS R01 HL162308NHLBI NIH HHS R01 HL163978NHLBI NIH HHS T32 HL139439NIA NIH HHS F31 AG090005NIA NIH HHS R01 AG091545U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) P01HL160469U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01-AG091545U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01-HL152515U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01-HL163978U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) T32- HL139439U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) F31-AG090005
6 · The paper itself

Abstract

Senescent cells accumulate in most tissues with organismal aging, exposure to stressors, or disease progression. It is challenging to identify senescent cells because cellular senescence signatures and phenotypes vary widely across distinct cell types and tissues. Here we developed an analytical algorithm that defines cell-type-specific and universal signatures of cellular senescence across a wide range of cell types and tissues. We utilize 72 mouse and 64 human weighted single-cell transcriptomic signatures of cellular senescence to create the SenePy scoring platform. SenePy signatures better recapitulate in vivo cellular senescence than signatures derived from in vitro senescence studies. We use SenePy to map the kinetics of senescent cell accumulation in healthy aging as well as multiple disease contexts, including tumorigenesis, inflammation, and myocardial infarction. SenePy characterizes cell-type-specific in vivo cellular senescence and could lead to the identification of genes that serve as mediators of cellular senescence and disease progression.

Indexed as

Cellular SenescenceGene Expression ProfilingSingle-Cell AnalysisTranscriptomeAgingAlgorithmsAnimalsHumansInflammationMaleMiceMice, Inbred C57BLMyocardial Infarction

Identifiers

PMID39987255
PMCPMC11846890

What OpenQuestion holds

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LicenceCC BY
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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.