SOURCE-LINKED INTELLIGENCE

Unraveling Molecular Mechanisms of Human Liver Fibrosis Resolution Using Spatial Proteomics

CORDIS · observation · Publication date unknown

ited for this investigation, given their pioneering method development, state-of-the-art instrumentation, and unparalleled proteomics expertise. Using insights from spatial proteomics, I will develop machine learning models to predict treatment responses and identify protein signatures for clinical application. Additionally, I will employ proteomics and phosphoproteomics approaches to capture dynamic extracellular matrix (ECM) changes - the hallmark of liver fibrosis - and active cross-regulation between ECM and adjacent cells. This is enabled by recent host lab developments in ultra-sensitive phosphoproteomics from low input amounts. The convergence of clinical expertise and distinctive patient cohorts from collaborators, unmatched proteomics capabilities of the host laboratory, and my profound background in liver research and computational analysis provides RESOLiVER with complementary skillsets to tackle this challenge. By elucidating molecular drivers of fibrosis regression and progression, RESOLiVER will advance fundamental understanding of liver disease and provide actionable i

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

217965.12

unit

EUR