Predictive modeling of CD-68 inflammatory and anti-inflammatory chromatin packing domains for personalized biomarker discovery

The project aims to establish a cohesive framework that links transcriptomic states with chromatin structure for biomarker development in Ulcerative Colitis (UC). This involves three aims: 1) expanding the capabilities of the Stochastic Returns-Excluded Volume (SR-EV) model to predict domains associated with M1 and M2 macrophage transcriptomic patterns; 2) studying the mechanisms governing packing domain formation in macrophages and the ability to manipulate gene expression by regulating these domains; and 3) testing how packing domains are transformed in UC patients before and after treatment. The collective approach seeks to expand the structure-function understanding of chromatin in macrophage signaling, develop new technologies for patient care, and advance chromatin modeling to address heterogeneity in cellular states for future disease applications.