This $196,673 federal Project Grant award, funded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program, supports collaborative research at Yale University to develop a predictive framework for understanding how the physical microenvironment influences 3D genome organization and gene expression. The project will integrate super-resolution microscopy, genomics, biophysical modeling, and machine learning to decode the relationship between the physical properties of the cell nucleus, chromatin structure, and transcriptional activity. Key deliverables include new quantitative models for the distribution of heterochromatin domains, a machine learning framework for extracting high-dimensional parameters from experimental imaging data, and educational and outreach activities to train future scientists. The award period is from July 1, 2024 to June 30, 2027, and there are no planned subawards.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $196.7k | 6/21/24 |