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Omics · study · 2026

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

Listed in NCBI GEO

There is an urgent need to comprehensively catalog senescence markers across a wide range of cell types in an organism.

Description

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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Life Sciences
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE28466611 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title