Modeling and simulation of endoplasmic reticulum stress pathways (TA/FA)

Endoplasmic reticulum (ER) is responsible for many important cellular functions such as
folding of proteins, glycosylation and quality control etc. Many
environmental and genetic perturbations such as hypoxia, glucose deficiency, overload of unfolded protein can lead to ER stress. ER stress has been associated with pathogenesis of many diseases
such as diabetes, neurodegenarative diseases such as Alziemers and
Parkinsons. Further, industrial recombinant mammalian cell lines producting recombinant therapeutics are also subject to ER stress.
Encounter of ER stress leads to the activation of a complex signaling network called as
unfolded protein response (UPR). The UPR pathway aims to restore
homeostasis by adapting the ER environment to the stress. However,
under chronic stress conditions, cell may resort to apoptosis. In
this project, we will develop a mathematical model to understand the
switch between adaptation and apoptosis. The project involves both
computational and experimental components. Students interested in
computational aspects of the project should have a background in
numerical methods and some exposure to matlab and/or mathematica.
Students interested in experimental aspects of the project should
have a background in molecular biology.

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Computational Biology
  • Systems Biology