Oleg A. Igoshin
Associate Professor of Bioengineering
Postdoctoral Fellow, Biomedical Engineering, University of California, Davis (2004-2006)
Ph.D., University of California, Berkeley (2004)
M.Sc., Chemical Physics, Feinberg Graduate School,Weizmann Institute of Science, Israel (2000)
B.Sc., Physics, summa cum laude, Novosibirsk State University, Russia (1998)
Oleg Igoshin specializes in computational systems biology with emphasis in evolutionary design principles and the characterization of biochemical networks, pattern formation in bacterial biofilms, and genetic networks in bacterial and stem cell development.
Prior to joining Rice University in 2007, Igoshin was a postdoctoral researcher in the Department of Biomedical Engineering at UC Davis working with Professor Michael Savageau (2004-2006). His research in the modeling of pattern formation in Myxobacteria at the UC Berkeley was supported by a Howard Hughes Medical Institute Predoctoral Fellowship (2001-2004) and Regents Fellowship (2000-2001). New research in Igoshin's group at Rice is supported by an NSF CAREER Award for self-organization mechanisms in Myxococcus xanthus swarms (2009) and a John S. Dunn Research Foundation award (2009). His research into thermodynamic models of combinatorial gene regulation by distant enhancers was selected for an IET Premium Award in Systems Biology (2011). The award is given by the journal’s editorial board members and editors-in-chief who nominate the ‘best paper of the year’ for each journal published by Institute of Engineering and Technology (IET).
Ongoing projects in the Igoshin Research Group focus on the:
- Modeling of microbiological self-organization
Myxococcus xanthus is one of the most intriguing microbes known for its multicellular lifestyle. Under appropriate conditions, bacterial cells self-organize to form complex fruiting body structures that contain environmentally resistant spores. The Igoshin Research Group and their collaborators seek to quantitatively characterize and mechanistically understand M. xanthus and other bacterial self-organization phenomena. In addition to traditional experimental research, they use computational biophysics and engineering approaches to understand the genetic mechanisms involved in pattern formation.
- Noise and feedback regulation in bacterial genetic networks
Transcriptional feedbacks are abundant in bacterial gene regulation, but their physiological role is not always well understood. The Igoshin Group investigates the role transcriptional feedback plays in shaping signal response and the characteristics of master-level regulation of bacterial gene expression. They focus on major classes of bacterial signaling systems – two-component signal transduction cascades as well as circuits responsible for bacterial sporulation. They are specifically interested in the stochastic nature of these processes, which allows isogenic bacteria to achieve different responses in identical environmental conditions.
- Feedback architectures of transcriptional regulation in hematopoietic stem cells
Transcriptional regulation of multipotent mammalian stem-cell lines is significantly more complex than bacterial regulation and therefore contains more complicated functional network motifs. The Igoshin Group uses mathematical modeling to study how the architecture of these motifs affects their physiological function.
- Diffusive-kinetic theories of enzymatic reaction networks
Recent single-molecule experiments have demonstrated that catalytic enzymes often display slow conformational fluctuations that affect their kinetic properties. As a result, macroscopic rate laws describing the enzymatic reaction may deviate from classical biochemical kinetics. The Igoshin Group investigates how fluctuation may affect the kinetics of coupled biochemical reaction networks.