GEO series

SenCat: Redefining human cell senescence through multiomic profiling of multiple senescent cell types

GSE284666 Homo sapiens Expression profiling by high throughput sequencing 190 samples Submitted 2026/06/15 Platform GPL24676

Summary

There is an urgent need to comprehensively catalog senescence markers across a wide range of cell types in an organism. Here, we profiled the transcriptomes and proteomes in over 30 senescence paradigms employing 14 different primary human cell types. Our results indicate that senescent cells from all tissue types do not share a unique marker, but they do share in the activation of specific metabolic pathways and damage response pathways to elicit tissue repair. Importantly, considering combinations of some of the most widely shared senescence markers validated the presence of senescent-like cells in mice through single-cell RNA-sequencing and immunostaining approaches. The enclosed catalog represents a much-needed resource to identify senescent cells across tissues in the body.

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Direct links to NCBI, no account and no request form: the whole study as GSE284666_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 190 samples. Raw sequencing reads are also available from ENA.

Whole study · RAW.tar ↓ Series matrix ↓ All supplementary files ↗ Raw reads on ENA ↗

Also filed as BioProject PRJNA1200021 and SRA study SRP552543. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

10 conditions, mostly with about 4 replicates each

BJ_P ×4 BJ_ETIS ×4 BJ_IRIS ×4 BJ_OSIS ×4 BJ_EV ×4 BJ_OIS ×4 BMMSC_P ×4 BMMSC_ETIS ×4 +2 more

Supports a between-group comparison across 40 samples.

10 replicated groups read from the first 40 of 190 sample titles; they account for 40 of them. Check it against the sample list below before relying on it.

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