Protocol for classifying cellular senescence from single-cel…
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- DOI 10.1016/j.xpro.2026.104724
- PMID https://pubmed.ncbi.nlm.nih.gov/42485183
- PMCID https://www.ncbi.nlm.nih.gov/pmc/articles/13396706
- OpenAlex ID W7170080625
- Type Article
- Language EN
- Published 22 Jul 2026
- Volume 7 (3)
- Pages 104724
- Source STAR Protocols
- Publisher Elsevier BV
- Countries 1
- Institutions 1
- Added 23 Jul 2026
- Updated 30 Oct 2026
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Protocol for classifying cellular senescence from single-cell and single-nucleus RNA sequencing data
Article 2026 EN Gold
Cellular senescence is a cell state characterized by stable cell-cycle arrest accompanied by coordinated molecular, metabolic, and functional changes. Here, we present a protocol to classify senescent cells from single-cell or single-nucleus RNA sequencing data using gene expression activity scoring of a senescence gene set provided by the user. We describe steps for data-driven optimization of es…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
8 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Anina N. Lund Corresponding | Icahn School of Medicine at Mo… (US) | |
| 2 | Ryan C. Thompson | Icahn School of Medicine at Mo… (US) | |
| 3 | Brian Harris Kopell | Icahn School of Medicine at Mo… (US) | |
| 4 | Girish N. Nadkarni | Icahn School of Medicine at Mo… (US) | |
| 5 | Eric J. Nestler | Icahn School of Medicine at Mo… (US) | |
| 6 | Eric E. Schadt | Icahn School of Medicine at Mo… (US) | |
| 7 | Alexander W. Charney Corresponding | Icahn School of Medicine at Mo… (US) | |
| 8 | Noam D. Beckmann Corresponding | Icahn School of Medicine at Mo… (US) |
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