Proteomic landscape of multidimensional aging phenotypes
Our findings facilitate a more comprehensive understanding of the proteomic landscape of the multidimensional aging phenotypes, thereby providing an opportunity for personalized monitoring of aging and effective therapeutic strategies in aging-related diseases.
Authors
- Zhi Cao (ORCID: https://orcid.org/0000-0002-9735-0255)
- Chenjie Xu (ORCID: https://orcid.org/0000-0002-8997-9299)
- Jiahao Min
- Han Chen (ORCID: https://orcid.org/0000-0002-8506-2125)
Institutions
- Hangzhou Normal University (CN)
- Sir Run Run Shaw Hospital (CN)
- First People's Hospital of Yuhang District (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Genome Medicine
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1186/s13073-025-01558-x
- Citations
- 3
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.27
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province