SOURCE-LINKED INTELLIGENCE
Predicting Apoptosis Engagement Downstream of Caspases in vivo
activation and that a completely new layer of regulation of cell death could have important physiological roles. Here, we propose to combine quantitative live imaging, multivariate model, supervised machine learning and quantitative perturbations through optogenetics to define parameters predictive of the engagement in apoptosis downstream of caspase activation. We will then use spatial omics combined with an optogenetic based screening to identify new factors modulating the sensitivity to caspases. Eventually we will unravel the physiological functions of caspase sensitivity modulation by defining a new paradigm of physiological cell competition and clone selection, and characterising its impact on tissue morphogenesis and oncogenic cell elimination. apoptosis, caspases, cell competition, optogenetics, Drosophila, epithelium, cell decision, multivariate models, machine learning
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1999625
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.