Systems Biology in Single Cells: A Tale of Two Viruses
Dr. Abhyudai Singh
Associate Professor, Departments of Electrical and Computer Engineering,
and Center for Bioinformatics and Computational Biology
University of Delaware
In the noisy cellular environment, expression of genes has been shown to be stochastic across organisms ranging from prokaryotic to human cells. Stochastic expression manifests as cell-to-cell variability in the levels of RNAs/proteins, in spite of the fact that cells are genetically identical and are exposed to the same environment. Development of computationally tractable frameworks for modeling stochastic fluctuations in gene product levels is essential to understand how noise at the cellular level affects biological function and phenotype. I will introduce state-of-the-art computational tools for stochastic modeling, analysis and inferences of biomolecular circuits. Mathematical methods will be combined with experiments to study infection dynamics of two viral systems in single cells. First, I will show how stochastic expression of proteins results in intercellular lysis time and viral burst size variations in the bacterial virus, lambda phage. Next, I will describe our efforts in stochastic analysis of the Human Immunodeficiency Virus (HIV) genetic circuitry. Our results show that HIV encodes a noisy promoter and stochastic expression of key viral regulatory proteins can drive HIV into latency, a drug-resistant state of the virus.
Abhyudai Singh earned his bachelor’s degree in mechanical engineering from the Indian Institute of Technology in Kanpur, India. He received master’s degrees in both mechanical and electrical & computer engineering from Michigan State University, and a master’s degree in ecology, evolution and marine biology from University of California Santa Barbara (UCSB). After earning his doctoral degree in electrical & computer engineering in 2008, also from UCSB, he completed postdoctoral work in UC San Diego’s Department of Chemistry and Biochemistry. From 2011 to 2017 he was an Assistant Professor in the Departments of Electrical & Computer Engineering, Biomedical Engineering and Mathematical Sciences at the University of Delaware, and was promoted to Associate Professor in 2017. The research interests of Abhyudai Singh are in dynamics, control, and identification of biomedical systems with applications to systems/synthetic biology and neuroscience.
Thursday, October 10, 2019 at 2:00pm to 3:00pm
Earle Hall, 100
206 S. Palmetto Blvd., Clemson, SC 29634