Evidence mapPaperPMID 42527539Full record

ReviewNature reviews. Genetics2026

Genomic, epigenomic and transcriptomic regulation of cellular senescence.

Rahagir Salekeen, Tra L Kieu, Paul D Robbins, Laura J Niedernhofer, Linshan Laux

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 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.

Rahagir SalekeenMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0001-7045-9106
Tra L KieuMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0009-0006-2125-2794
Paul D RobbinsMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0003-1068-7099
Laura J NiedernhoferMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA. lniedern@umn.edu.ORCID http://orcid.org/0000-0002-1074-1385
Linshan LauxMasonic Institute on the Biology of Aging and Metabolism, University of Minnesota, Minneapolis, MN, USA. shang133@umn.edu.ORCID http://orcid.org/0009-0008-3796-8847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence is a complex, highly regulated cell state induced by cellular damage and stress. Senescence is central to many areas of biology, with roles in tumour suppression, tissue regeneration, antiviral defence and diverse age-related pathologies. Senescence is characterized by stable cell cycle arrest, metabolic alterations, chromatin remodelling and the secretion of pro-inflammatory and tissue-modifying factors that are collectively termed the senescence-associated secretory phenotype. Recent technological advances, including new genetic models, single-cell and spatial multi-omics platforms and machine-learning approaches, promise to enable the phenotyping, tracing and manipulation of senescent cells with unprecedented precision and resolution. This Review defines our current understanding of the genetic pathways that regulate senescence induction, maintenance, propagation and heterogeneity, including the DNA damage response, non-genotoxic stress pathways, epigenetic changes and cell-cell communication. We also emphasize key challenges in distinguishing senescence from other cell fates and the need for next-generation biomarkers to capture the varied phenotypes and functions of senescent cells.

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

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.