Evidence map›Paper›PMID 42148795›Full record

ArticleAging cell2026

Transcriptional Profiling at Single-Cell Resolution Reveals Diversity and Regulatory Networks of Primary and Secondary Senescent Cells.

Dong-Hyun Jang, Eunha Shim, Ji-Won Shin, Seokho Kim, Serban Ciotlos, Hyun Jung Kim, Tae-Hwan Gil, Yumin Kim, Ok Hee Jeon

Abstract read
In one paragraph

Article in Aging cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Dong-Hyun JangDepartment of Biomedical Sciences, Department of Convergence Medicine, Korea University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0009-8018-6637
Eunha ShimDepartment of Biomedical Sciences, Department of Convergence Medicine, Korea University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0001-6119-123X
Ji-Won ShinDepartment of Biomedical Sciences, Department of Convergence Medicine, Korea University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-4114-9317
Seokho KimAnimal Biotechnology and Genomics Division, National Institute of Animal Science, Rural Development Administration, Wanju, Republic of Korea.ORCID https://orcid.org/0000-0001-9245-3776
Serban CiotlosBuck Institute for Research on Aging, Novato, California, USA.ORCID https://orcid.org/0000-0003-4818-3101
Hyun Jung KimDepartment of Anatomy, Korea University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-9520-1109
Tae-Hwan GilDepartment of Biomedical Sciences, Department of Convergence Medicine, Korea University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7855-7755
Yumin KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.ORCID https://orcid.org/0000-0002-2083-6660
Ok Hee JeonDepartment of Biomedical Sciences, Department of Convergence Medicine, Korea University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-3725-7526

Funding

National Research Foundation of Korea RS-2023-00220894National Research Foundation of Korea RS2024-00340798POSCO TJ Park Foundation
6 · The paper itself

Abstract

Senescent cells accumulate with age following stress-induced cell cycle arrest triggered by DNA damage, oncogene activation, and replicative exhaustion. While they contribute to tissue repair and tumor suppression, their persistent senescence-associated secretory phenotypes (SASPs) drive age-related diseases. The heterogeneity of senescent cell populations, particularly the distinction between primary and secondary senescence, remains incompletely understood at single-cell resolution. Here, we established models of primary senescence by X-ray irradiation of human renal epithelial cells and secondary senescence by exposing proliferating cells to conditioned media from primary senescent cells. Single-cell RNA sequencing revealed structured transcriptional trajectories culminating in distinct terminal clusters in primary (C5, C6, and C8) and secondary (C3, C5, and C7) senescence. Primary senescence preferentially converged on extracellular matrix- and fibrosis-associated programs, whereas secondary senescence exhibited more inflammatory and signaling-responsive programs, while both contexts shared a partially overlapping transcriptional module enriched in stress-response and cytokine-related transcriptional modules. We identified subtype-associated genes distinguishing primary from secondary senescent cells, as well as candidate transcriptional regulators-such as HMGA1, NFKB1, and JUNB-associated with conserved and context-specific senescence programs. This study provides a single-cell-resolved transcriptional map of divergent and shared molecular features relevant to renal aging and disease.

Indexed as

Cellular SenescenceGene Expression ProfilingGene Regulatory NetworksSingle-Cell AnalysisHumansSenescence-Associated Secretory PhenotypeSingle-Cell Gene Expression Analysiscellular senescenceprimary senescenceSASPsecondary senescencesingle‐cell RNA sequencingtranscriptional heterogeneity

Identifiers

PMID42148795
PMCPMC13182272

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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.