seneR: An R package for comprehensive senescence assessment and its application in type 2 diabetes and osteoarthritis
Our study demonstrates that seneR is a valuable tool for assessing cellular senescence from transcriptomic data, revealing key phenotypes and potential therapeutic targets in T2D and OA. The identification of SLPI as a senescence-associated molecule and the therapeutic potential of PM highlights the utility of our approach in understanding senescence-related diseases.
Authors
- Bing Li
- Yunfeng Yang
- Yao LU
- Xin Ma
- Cheng Chen
- Xinming Zhang
- Yi Zhang (ORCID: https://orcid.org/0009-0009-8242-1581)
Institutions
- Tongji University (CN)
- Shanghai Jiao Tong University (CN)
- Ruijin Hospital (CN)
- Shanghai Sixth People's Hospital (CN)
- Tongji Hospital (CN)
- McGill University (CA)
- Rice University (US)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-12-31
- DOI
- https://doi.org/10.1016/j.csbj.2025.12.031
- Primary Topic
- Telomeres, Telomerase, and Senescence
- Type
- article
- Field-Weighted Citation Impact
- 0.00