Evidence map›Paper›PMID 40304905›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Dissecting the Heterogeneity of Senescent Cells Through CITE-seq Integration.

Kotb Abdelmohsen, Krystyna Mazan-Mamczarz, Dimitrios Tsitsipatis, Martina Rossi, Rachel B Munk, Myriam Gorospe

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Article in Methods in molecular biology (Clifton, N.J.), 2025. 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

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

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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

6 authors.

Kotb AbdelmohsenLaboratory of Genetics and Genomics, Baltimore, MD, USA. abdelmohsenk@mail.nih.gov.
Krystyna Mazan-MamczarzLaboratory of Genetics and Genomics, Baltimore, MD, USA.
Dimitrios TsitsipatisLaboratory of Genetics and Genomics, Baltimore, MD, USA.
Martina RossiTranslational Gerontology Branch, National Institute on Aging (NIA) Intramural Research Program (IRP), National Institutes of Health (NIH), Baltimore, MD, USA.
Rachel B MunkLaboratory of Genetics and Genomics, Baltimore, MD, USA.
Myriam GorospeLaboratory of Genetics and Genomics, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence, a state of persistent growth arrest following cell damage, is associated with aging and age-related diseases. Understanding cell heterogeneity within senescent populations is crucial for developing therapies to mitigate senescence-associated pathologies. The protocol described here outlines an integrated approach to exploit the presence of cell surface proteins on subsets of senescent cells to study their heterogeneity at the single-cell level. After identifying senescence-associated surface proteins by mass spectrometry (MS) and then performing cellular indexing of transcriptomes and epitopes sequencing (CITE-seq) single-cell analysis, we were able to identify unique transcriptomic programs associated with specific surface protein markers expressed in some senescent cells but not in others. We illustrate the utility of this approach by investigating the complex heterogeneity of senescent cell populations. However, this methodology can be applied to other biological scenarios where cells with unique transcriptomic profiles can be studied individually, thanks to the presence of specific cell surface proteins that distinguish them from other cells within the same population.

Indexed as

Cellular SenescenceEpitopesGene Expression ProfilingSingle-Cell AnalysisHumansMass SpectrometryMembrane ProteinsTranscriptomeEpitopesMembrane ProteinsCell cycleCITE-seqMultiomicsProteomeSenescenceSingle-cell transcriptomeSurface proteinsTranscriptome

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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.