A framework designed for discovery
Overview
This project applies enhanced T-Scan technology to perform a comprehensive, genome-wide screen of T cell antigens in Sjögren’s disease, combining patient-derived T cell receptor analysis with broad antigen library screening to identify the drivers of autoimmune T cell responses in affected tissue.
Experimental / Computational Methods
Enhanced T-Scan platform screening of canonical human proteins, viral epitopes, and non-canonical self-antigens derived from cryptic genomic regions; analysis of 40 prioritized T cell receptors from 30 SjD patients; and mechanistic investigation of molecular mimicry and immune tolerance breakdown in salivary and lacrimal gland-infiltrating T cells.
Data Sources / Models Used
T cell receptor sequences from CD4+ and CD8+ T cells infiltrating salivary and lacrimal gland tissue from 30 SjD patients, genome-wide antigen libraries including canonical, viral, and cryptic non-canonical self-antigens, and T-Scan screening datasets identifying disease-relevant antigenic targets.
Analytical / Translational Focus
Identification of the antigens driving autoimmune T cell responses in SjD, with translational goals including biomarker discovery and the design of targeted therapies such as tolerogenic vaccines and T cell-based treatments. The human non-canonical antigen library and T-Scan platform enhancements constitute novel and broadly applicable IP assets for autoimmune research and therapy development.
Powering the science
Mohammad Haj Dezfulian, PhD, Colton Consortium Member
Assistant Professor, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania