BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Jianhua Xing (University of Pittsburgh) DTSTART:20230323T160000Z DTEND:20230323T163000Z DTSTAMP:20260421T124323Z UID:MoRN/70 DESCRIPTION:Title: Re constructing cellular dynamics from single cell data\nby Jianhua Xing (University of Pittsburgh) as part of Seminar on the Mathematics of Reacti on Networks\n\n\nAbstract\nA grand challenge in single cell studies is to construct a quantitative\, predictive\, and genome-wide mathematical model describing cellular dynamics. Single-cell (sc)RNA-seq\, together with RNA velocity and metabolic labeling\, reveals cellular states and transitions at unprecedented resolution. A frontier of research is how to extract dyn amical information from the snapshot data. In this talk I will first discu ss our recently developed dynamo framework (Qiu et al. Cell\, 2022)\, focu sing on the underlying mathematical framework. Then I will discuss our rec ent efforts of reconstructing full dynamical equations using discrete calc ulus on graphs (Zhang et al. to be submitted). I will conclude with an exa mple of applying the formalism\, together with transition path analyses or iginally developed in chemical physics\, to study how epithelial-to-mesenc hymal transition couples with cell cycle (Wang et al. Sci Adv 2020\, eLife 2022\, Hu et al.\, in preparation).\n LOCATION:https://researchseminars.org/talk/MoRN/70/ END:VEVENT END:VCALENDAR