Single-cell data guided modeling of phenotype switching

Tumor necrosis factor alpha (TNFα), a pleiotropic cytokine capable of exhibiting pro-survival, apoptosis, or necrotic phenotypes, is implicated in several cancers and rheumatoid arthritis. Understanding the underlying mechanism that governs a cell’s decision to the phenotypic response can help obtain insights on how signal flow can be modulated to achieve a desired phenotype. The goal of this project is to develop a mechanistic model that predicts single-cell phosphor-protein and phenotypic response due to TNFα exposure measured in-house. The model will be used to decipher possible interventional strategies that will ensure reliable phenotype switching. This project will be a combination of mathematical modeling and computations. Candidate will work closely with experimentalists. Candidate must have basic knowledge of biology and MATLAB programming experience. Interest in performing inter-disciplinary research is preferable.

 Preferred background: B.Tech/M.Tech Chemical/Biotech or M.Sc Biotech/Physics

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Computational Biology
  • Data Analysis
  • Identification
  • Modelling
  • Optimisation
  • Reaction Engineering
  • Systems Biology