activity
20042019
most citedEmergent Lévy behavior in single-cell stochastic gene expression

58 citations · 169 across the 7 of their papers we have counts for

collaborators

7 papers

stat.AP2019

Deciphering hierarchical organization of topologically associated domains through change-point testing

Haipeng Xing, Yingru Wu, Yong Chen +1

Background: The nucleus of eukaryotic cells spatially packages chromosomes into a hierarchical and distinct segregation that plays critical roles in maintaining transcription regul…

q-bio.MN2019★ 57 cited

Single-cell stochastic gene expression kinetics with coupled positive-plus-negative feedback

Chen Jia, Le Yi Wang, George G. Yin +1

Here we investigate single-cell stochastic gene expression kinetics in a minimal coupled gene circuit with positive-plus-negative feedback. A triphasic stochastic bifurcation upon…

q-bio.MN2019★ 7 cited

Exact power spectrum in a minimal hybrid model of stochastic gene expression oscillations

Chen Jia, Hong Qian, Michael Q. Zhang

Stochastic oscillations in individual cells are usually characterized by a non-monotonic power spectrum with an oscillatory autocorrelation function. Here we develop an analytical…

q-bio.MN2018★ 41 cited

Relaxation rates of gene expression kinetics reveal the feedback signs of autoregulatory gene networks

Chen Jia, Hong Qian, Min Chen +1

The transient response to a stimulus and subsequent recovery to a steady state are the fundamental characteristics of a living organism. Here we study the relaxation kinetics of au…

q-bio.MN2017★ 58 cited

Emergent Lévy behavior in single-cell stochastic gene expression

Chen Jia, Michael Q. Zhang, Hong Qian

Single-cell gene expression is inherently stochastic; its emergent behavior can be defined in terms of the chemical master equation describing the evolution of the mRNA and protein…

q-bio.MN2017★ 6 cited

Stochastic fluctuations can reveal the feedback signs of gene regulatory networks at the single-molecule level

Chen Jia, Peng Xie, Min Chen +1

Understanding the relationship between spontaneous stochastic fluctuations and the topology of the underlying gene regulatory network is of fundamental importance for the study of…