BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Tian Hong (University of Tennessee\, Knoxville) DTSTART:20230511T150000Z DTEND:20230511T153000Z DTSTAMP:20260421T123834Z UID:MoRN/77 DESCRIPTION:Title: Ma ss-action models of regulated degradation\nby Tian Hong (University of Tennessee\, Knoxville) as part of Seminar on the Mathematics of Reaction Networks\n\n\nAbstract\nA key goal of systems biology is to use predictive models to understand complex regulatory networks in living cells. Mathema tical modeling and analysis have been successful in uncovering dynamics an d steady-state properties\, such as multistability and oscillation\, of bi ologically important reactions networks including multisite phosphorylatio n cycles. However\, it remains unclear how emergent dynamics may arise fro m other prevalent regulatory networks in nonintuitive ways. In this study\ , we introduce a family of mass-action models for elementary biochemical r eactions involving only binding\, production\, and degradation. We show th at altered degradation rate constants of macromolecules upon the formation of high-order complexes can lead to multistability and limit-cycle oscill ation. These models can be used to capture dynamics of RNA transcripts for most human genes\, as well as many proteins. Interestingly\, multistabili ty and oscillation require the same structurally minimal motif in the cont ext of this model family. In addition\, oscillations originating from thes e models have diverging periods\, and we use stochastic simulations to sho w their utility of robustly generating cell clusters with diverse gene exp ression patterns in cell populations.\n LOCATION:https://researchseminars.org/talk/MoRN/77/ END:VEVENT END:VCALENDAR