Mapping and modeling endothelial cell fate decisions for pulmonary arterial hypertension
Grant Award Details
Grant Type:
Grant Number:
DISC0-16122
Investigator(s):
Award Value:
$1,540,798
Status:
Pre-Active
Grant Application Details
Application Title:
Mapping and modeling endothelial cell fate decisions for pulmonary arterial hypertension
Public Abstract:
Research Objective
We will build a foundational model and experimental platform to catalog all genes that promote and protect against PAH, with the potential to extend to many other developmental and disease processes.
Impact
The studies aim to identify genetic targets for PAH therapy and develop a predictive model to accelerate stem cell research and novel treatments.
Major Proposed Activities
We will build a foundational model and experimental platform to catalog all genes that promote and protect against PAH, with the potential to extend to many other developmental and disease processes.
Impact
The studies aim to identify genetic targets for PAH therapy and develop a predictive model to accelerate stem cell research and novel treatments.
Major Proposed Activities
- Genomic datasets in healthy and diseased cell types
- Map of which genes affect cell fate decisions
- New predictive computational models
- Framework to take genetic information and better guide the diagnosis and treatment of pulmonary arterial hypertension (which can be extended to more diseases in the future)
- New technology that allows large-scale genetic perturbations in single cells with high temporal resolution
- Compiled large-scale single-cell data resources for predictive modeling
Statement of Benefit to California:
The proposed research aims to harness the potential of foundational models and single-cell genomics to understand and predict cell fate transitions in the context of PAH, allowing us to identify genes and pathways controlling cell fate decisions, leading to potential therapies for PAH. Therefore, it holds promise for benefiting the State of California and its citizens by advancing our understanding of disease mechanisms and potentially contributing to the development of regenerative therapies.