Modeling of microbiological self-organization
Myxococcus xanthus is one of the most intriguing microbes known for its multicellular lifestyle. Under appropriate conditions, bacterial cells collectively move to self-organize to form complex multicellular structures. The Igoshin Group and their collaborators seek to quantitatively characterize and mechanistically understand self-organization and pattern formation M. xanthus and other bacteria. Complementary to traditional experimental research, the Igoshin Group uses computational biophysics and engineering approaches to build mathematical models of these phenomena.
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 regulators of bacterial gene expression. The Igoshin Group focuses on major classes of bacterial signaling systems – two-component signal transduction cascades and networks regulating activity of the alternative sigma factors. In particular, the research aims to uncover 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. Furthermore, Igoshin Group works on quantifying trade-offs between speed, accuracy and precision in enzymatically controlled reactions.