Uncovering Therapeutic Targets in Sjögren's Disease Using Large-scale Boolean Modelling and Perturbation Analysis

This project is a collaboration between the GenHotel lab and IMVA-HB at Paris-Saclay University. It aims to identify potential therapeutic targets in Sjögren's Disease (SjD) through large-scale computational modeling and systematic perturbation analysis. The study leverages a Boolean network model to simulate disease-relevant pathways and predict interventions that could modulate key phenotypes.

Key features of the study include:

• Construction of a comprehensive Boolean model capturing hallmark pathways and cellular interactions implicated in SjD.
• Systematic perturbation analysis (gene knockouts/overexpression and drug-target simulations) to identify nodes that modulate inflammatory, interferon-related, and immune activation phenotypes.
• Integration of simulation results with experimental data to prioritize candidate therapeutic targets.
• Jupyter notebooks and model files enabling full reproducibility of the analysis workflow.

Contents:

• Boolean model of SjD pathways
• Jupyter notebooks for data analysis, simulation, and perturbation studies
• Scripts to reproduce figures and results presented in the study

This dataset and computational framework provide a resource for exploring disease mechanisms and rational therapeutic interventions in SjD.