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

GSE302792 Mus musculus Expression profiling by high throughput sequencing 33 samples Submitted 2026/06/15 Platform GPL34290
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 GSE302792_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 33 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1292169 and SRA study SRP601282. Searching any of these in the dataset finder brings you back here.

Study design
18 × Kidney vs 15 × Lung

Supports a between-group comparison across 33 samples.

2 replicated groups read from 33 sample titles; they account for 33 of them. Check it against the sample list below before relying on it.

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