sennet-biomarkers

SenNet senescence-biomarker resource — snapshot

Provenance note for sennet-biomarkers.csv (this folder).

• What it is: the curated SenNet senescence-biomarker table — 703 entries × 11 columns: Biomarker, Preferred Term, HGNC_ID, Biomolecule (mRNA/protein/…), Tissue, Cell, Context (aging / disease / obesity / menopause / …), Organism (human/mouse), Senescence Hallmark (DDR, SASP/Inflammation, cell-cycle arrest, …), Citation (PMID), Experimental Evidence (assay). Covers the 14 tissues of the SenNet detection consensus, including a “Circulating markers” (blood) category.
• Source: the interactive SenNet biomarker resource at https://docs.sennetconsortium.org/biomarkers/, which renders a public Google Sheet. Snapshot taken 2026-06-13 via the sheet’s CSV export. It is a living document — re-pull from the source for updates; this file is a point-in-time copy for offline reference.
• Underpins: Suryadevara et al. 2024, Nature Reviews Molecular Cell Biology 25(12):1001–1023, “SenNet recommendations for detecting senescent cells in different tissues” (doi:10.1038/s41580-024-00738-8; PMID 38831121) → suryadevara-2024-sennet-detection-recommendations.
• Use / discipline: each row is literature-curated by SenNet with a PMID in the Citation column — treat those PMIDs as the primary sources (cite the PMID, not this snapshot, for any specific marker claim). This CSV is a discovery/reference index (e.g. “which markers are reported for kidney senescence, in which organism, by what assay”), not itself a verified wiki source. No independent verification performed on the rows.
• Why kept: raw reference data with no DOI of its own → lives in sources/ per the wiki schema (supplementary data). Useful for biomarker-discovery queries and as the empirical backing for the no-universal-marker / tissue-specific-multi-marker theme on cellular-senescence.

Related: suryadevara-2024-sennet-detection-recommendations · suryadevara-2026-senotypes · anerillas-2026-sencat · cellular-senescence