SeneQuest
SeneQuest provides curated gene-to-senescence associations, expert-recommended biomarkers, and a proposed algorithm to assess and quantify cellular senescence for research into aging and senotherapy.
Key Features:
- Gene-to-Senescence Associations: Provides detailed, curated information on genes associated with cellular senescence.
- Resource Tool: Aggregates curated gene-senescence relationships to support identification of genes linked to senescence.
- Biomarker Recommendations: Incorporates expert consensus from the International Cell Senescence Association (ICSA) on cellular and molecular features recommended as senescence biomarkers.
- Algorithm for Senescence Assessment: Includes a proposed algorithm to assess and quantify senescence applicable to both cultured cells and in vivo studies.
Scientific Applications:
- Senotherapy Development: Supports discovery of therapeutic targets to modulate senescence for improving healthspan and treating age-related diseases by identifying senescence-associated genes.
- Biomarker Discovery: Guides selection of diagnostic and experimental biomarkers using ICSA-recommended cellular and molecular features.
- Basic Research: Enables investigation of genetic and molecular mechanisms underlying cellular senescence.
Methodology:
Uses curated gene–senescence association data and ICSA expert consensus for biomarker recommendations together with a proposed algorithm to assess and quantify senescence in cultured cells and in vivo.
Topics
Details
- Added:
- 1/14/2020
- Last Updated:
- 1/16/2021
Operations
Publications
Gorgoulis V, Adams PD, Alimonti A, Bennett DC, Bischof O, Bishop C, Campisi J, Collado M, Evangelou K, Ferbeyre G, Gil J, Hara E, Krizhanovsky V, Jurk D, Maier AB, Narita M, Niedernhofer L, Passos JF, Robbins PD, Schmitt CA, Sedivy J, Vougas K, von Zglinicki T, Zhou D, Serrano M, Demaria M. Cellular Senescence: Defining a Path Forward. Cell. 2019;179(4):813-827. doi:10.1016/j.cell.2019.10.005. PMID:31675495.