Evidence map›Paper›PMID 39143693›Full record

ArticleAging cell2024

Identification of senescent cell subpopulations by CITE-seq analysis.

Kotb Abdelmohsen, Krystyna Mazan-Mamczarz, Rachel Munk, Dimitrios Tsitsipatis, Qiong Meng, Martina Rossi, Apala Pal, Chang Hoon Shin, Jennifer L Martindale, Yulan Piao and 5 more

Abstract read
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

15 authors.

Kotb AbdelmohsenLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.ORCID 0000-0001-6240-5810
Krystyna Mazan-MamczarzLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Rachel MunkLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Dimitrios TsitsipatisLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Qiong MengLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Martina RossiLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Apala PalLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Chang Hoon ShinLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Jennifer L MartindaleLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Yulan PiaoLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Jinshui FanLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Hagai YanaiTranslational Gerontology Branch, National Institute on Aging (NIA) Intramural Research Program (IRP), National Institutes of Health (NIH), Baltimore, Maryland, USA.
Supriyo DeLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Isabel BeermanTranslational Gerontology Branch, National Institute on Aging (NIA) Intramural Research Program (IRP), National Institutes of Health (NIH), Baltimore, Maryland, USA.
Myriam GorospeLaboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.ORCID 0000-0001-5439-3434

Funding

Influence of Post-transcriptional Gene Regulation on Cell Senescence and AgingZIAAG000393 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2025
$24.1M
Post-transcriptional Regulation Of Proliferative and Stress Response GenesZ01AG000511 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM NONE · 1998 to 2008
$1.6M
Intramural NIH HHS Z01 AG000511National Institute on Aging Intramural Research Program, National Institutes of Health Z01-AG000511
6 · The paper itself

Abstract

Cellular senescence, a state of persistent growth arrest, is closely associated with aging and age-related diseases. Deciphering the heterogeneity within senescent cell populations and identifying therapeutic targets are paramount for mitigating senescence-associated pathologies. In this study, proteins on the surface of cells rendered senescent by replicative exhaustion and by exposure to ionizing radiation (IR) were identified using mass spectrometry analysis, and a subset of them was further studied using single-cell CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) analysis. Based on the presence of proteins on the cell surface, we identified two distinct IR-induced senescent cell populations: one characterized by high levels of CD109 and CD112 (cluster 3), the other characterized by high levels of CD112, CD26, CD73, HLA-ABC, CD54, CD49A, and CD44 (cluster 0). We further found that cluster 0 represented proliferating and senescent cells in the G1 phase of the division cycle, and CITE-seq detection of cell surface proteins selectively discerned those in the senescence group. Our study highlights the heterogeneity of senescent cells and underscores the value of cell surface proteins as tools for distinguishing senescent cell programs and subclasses, paving the way for targeted therapeutic strategies in disorders exacerbated by senescence.

Indexed as

Cellular SenescenceHumansSingle-Cell Analysiscell cycleCITE‐seqproteomesenescencesingle‐cell transcriptomesurfaceomesurface proteins

Identifiers

PMID39143693
PMCPMC11561699

What OpenQuestion holds

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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.