⚠️ Auto-extracted by Claude on 2026-06-13 — green-OA but local full text not retrieved; claims sourced from the verified metadata and the verbatim PubMed abstract. Full text not read. Verify quantitative/marker specifics against the source. gap/no-fulltext-access
Suryadevara et al. 2024 — SenNet recommendations for detecting senescent cells in different tissues
Nature Reviews Molecular Cell Biology 2024;25(12):1001–1023 (online 3 Jun 2024). doi:10.1038/s41580-024-00738-8 · PMID:38831121. The NIH SenNet Biomarkers Working Group consensus (79 authors); the foundational detection/biomarker reference that the 2026 senotype Perspective suryadevara-2026-senotypes and the SenCat catalog anerillas-2026-sencat build on (same first author, V. Suryadevara).
Access: green OA (a free version should exist; local full text not retrieved). Abstract-sourced. gap/no-fulltext-access
What this paper is
A consensus Review / recommendations paper (not primary data) from the SenNet Biomarkers Working Group. It synthesizes existing literature on senescence markers across 14 tissues in mice and humans to recommend how to detect and characterize senescent cells in tissue (as opposed to in culture).
Recommendations / key points (abstract-supported)
- Tissue ≠ culture. Most senescent-cell biology derives from tissue culture, where every cell is driven to irreversible arrest; in tissues senescent cells are rare and hard to characterize. Recommendations are explicitly for the in-tissue setting.
- Postmitotic cells can be senescent. Fully differentiated, postmitotic cells can acquire a senescence phenotype (consistent with the wiki’s MiDAS / senescent-cardiomyocyte and senescent-neuron content).
- Per-tissue, multi-marker detection. Recommendations are built from a comprehensive analysis of senescence markers reported across 14 mouse + human tissues — i.e. no single universal marker; detection should use tissue-appropriate marker combinations. (The 2026 SenCat catalog anerillas-2026-sencat later confirms the no-universal-marker point at single-cell/proteome scale; this 2024 paper is the literature-consensus predecessor.)
- Modalities discussed: molecular senescence signatures, morphological features, and circulating (blood) markers — the basis for the SenNet biomarker resource (see Resource below).
Significance for the wiki
- This is the canonical “how to detect senescent cells per tissue” reference — it belongs wherever the wiki discusses senescence markers/detection (cellular-senescence § Definition, sasp, the senotype section).
- It anchors the no-universal-marker → tissue-specific multi-marker panels principle that recurs through the senotype framework, SenCat, and the Krizhanovsky preprints.
- It is the source underpinning the SenNet senescence-biomarker resource (a curated, interactive biomarker/gene list, https://docs.sennetconsortium.org/biomarkers/) — a snapshot is kept at sennet-biomarkers for future reference.
Cross-references
- cellular-senescence — detection/markers + senotype framework
- suryadevara-2026-senotypes — the 2026 SenNet Perspective (senotype) that extends this
- anerillas-2026-sencat — SenCat (confirms no-universal-marker at omics scale)
- sennet-biomarkers — snapshot of the SenNet biomarker resource (Google-Sheet-backed)
- hallmarks-of-aging — parent framework