We received a new NSF grant from the program of emerging mathematics in biology
Title: Mathematical analyses of multidimensional single cell transcriptional vector fields With the emergence of a new field of reconstructing large scale dynamical equations from single cell genomics data, the funded research is to address a new challenge to expand mathematical tools for downstream analyses of the dynamical equations and apply tools developed in other contexts […]
Dr Xing gave a keynote talk at the 7th National Conference on Statistical Physics and Complex Systems in China
https://conferences.koushare.com/spcsc2023/custom/554Our former lab member Dr Weikang Wang is one of the organizers.
Dr Xing delivered a chalk talk at Harvard Theory Lunch series
Why physical intuition is important in biology: from protein motors to cells
Sophia received multiple awards
Sophia received the best poster award at the CSI retreat, and a travel award to attend the 2022 annual symposium of NSF-Simons Center for Multiscale Cell Fate Research (CMCF) at UC Irvine. Congratulations!
Dr Xing co-host sessions at 2022 APS March meeting
https://meetings.aps.org/Meeting/MAR22/Session/B04 https://meetings.aps.org/Meeting/MAR22/Session/G04
Dr Xing serves new roles at the Biophysical Society
Dr Xing will serve as the editorial board member for the society journal: Biophysical Journal. He is the Physical Cell Biology Program Chair-elect for year 2024 BPS meeting.
Weikang gave SLAAM seminar at UC Merced
It is a seminar series exclusively by postdocs from different institutions on Soft, Living, Active and Adaptive Matter (SLAAM). Weikang’s record talk can be found here.
Our EMT live cell imaging studies accepted in eLife
Congratulations to Weikang, Dante, Yaxuan, and Thomas for this beautiful work.
Our dynamo ms published in Cell
See our departmental coverage.
Yan’s dynamo ms submitted
https://www.biorxiv.org/content/10.1101/696724v2.full Single-cell RNA-seq, together with RNA velocity and metabolic labeling, reveals cellular states and transitions at unprecedented resolution. Fully exploiting these data, however, requires dynamical models capable of predicting cell fate and unveiling the governing regulatory mechanisms. Here, we introduce dynamo, an analytical framework that reconciles intrinsic splicing and labeling kinetics to estimate absolute RNA […]