A framework designed for discovery
Overview
This project integrates multi-omic profiling, computational analysis, and functional validation to identify and characterize the genetic and molecular mechanisms driving pemphigus vulgaris. The approach combines patient-derived tissue and blood data with mouse models and functional assays to move from discovery to therapeutic target validation.
Experimental / Computational Methods
Advanced genomic and transcriptomic profiling of PV patient skin biopsies and blood samples, natural language model-based extraction of clinical data from patient records, functional assays to validate candidate targets, and mouse models to assess disease-relevant mechanisms in vivo.
Data Sources / Models Used
Skin biopsy and blood sample datasets from PV patients, gene expression profiling of PV-related genes at tissue and systemic levels, patient medical records processed via NLMs, and in vitro and in vivo functional validation datasets including keratinocyte assays and mouse models of PV.
Analytical / Translational Focus
Identification of genotype-driven disease mechanisms — specifically TRAV19 and ST18 risk variants — and their downstream inflammatory pathways, with the goal of defining actionable therapeutic targets for personalized treatment strategies in pemphigus vulgaris.
Powering the science
Eli Sprecher, MD, PhD, Colton Consortium Member
Professor, Dermatology, Gray Faculty of Medical and Health Sciences, Tel Aviv University
Noam Shomron, PhD, Colton Consortium Member
Professor, Gray Faculty of Medical and Health Sciences (Cell & Developmental Biology), Tel Aviv University
Tzachi Hagai, PhD
Professor, The Shmunis School of Biomedicine and Cancer Research Faculty of Life Sciences
Nachum Dershowitz, PhD
Professor Emeritus in School of Computer Science and AI