320 citations · 743 across the 23 of their papers we have counts for
26 papers
Reconstructing data-driven governing equations for cell phenotypic transitions: integration of data science and systems biology
Jianhua Xing
Cells with the same genome can exist in different phenotypes. and can change between distinct phenotypes when subject to specific stimuli and microenvironments. Some examples inclu…
Cell phenotypic transition proceeds through concerted reorganization of gene regulatory network
Weikang Wang, Dante Poe, Ke Ni +1
Phenotype transition takes place in many biological processes such as differentiation, and understanding how a cell reprograms its global gene expression profile is a problem of ra…
Mathematical Modeling of Plasticity and Heterogeneity in EMT
Shubham Tripathi, Jianhua Xing, Herbert Levine +1
Epithelial-Mesenchymal Transition (EMT), and the corresponding reverse process, Mesenchymal-Epithelial Transition (MET), are dynamic and reversible cellular programs orchestrated b…
Biophysics at the coffee shop: lessons learned working with George Oster
Oleg Igoshin, Jing Chen, Jianhua Xing +9
Over the past 50 years, the use of mathematical models, derived from physical reasoning, to describe molecular and cellular systems has evolved from an art of the few to a cornerst…
Spatial clustering and common regulatory elements correlate with coordinated gene expression
Jingyu Zhang, Hengyu Chen, Ruoyan Li +4
Many cellular responses to surrounding cues require temporally concerted transcriptional regulation of multiple genes. In prokaryotic cells, a single-input-module motif with one tr…
Investigating Epithelial-To-Mesenchymal Transition with Integrated Computational and Experimental Approaches
Jianhua Xing, Xiao-Jun Tian
The transition between epithelial and mesenchymal (EMT) is a fundamental cellular process that plays critical roles in development, cancer metastasis, and tissue wound healing. EMT…