235 citations · 441 across the 8 of their papers we have counts for
8 papers
Connecting protein and mRNA burst distributions for stochastic models of gene expression
Vlad Elgart, Tao Jia, Andrew T. Fenley +1
The intrinsic stochasticity of gene expression can lead to large variability in protein levels for genetically identical cells. Such variability in protein levels can arise from in…
Applications of Little's Law to stochastic models of gene expression
Vlad Elgart, Tao Jia, Rahul V. Kulkarni
The intrinsic stochasticity of gene expression can lead to large variations in protein levels across a population of cells. To explain this variability, different sources of mRNA f…
Multi-species stochastic models: small RNA regulation of gene expression
Vlad Elgart
The processes, resulting in the transcription of RNA, are intrinsically noisy. It was observed experimentally that the synthesis of mRNA molecules is driven by short, burst-like, e…
Quantifying mRNA synthesis and decay rates using small RNAs
Vlad Elgart, Tao Jia, Rahul Kulkarni
Regulation of mRNA decay is a critical component of global cellular adaptation to changing environments. The corresponding changes in mRNA lifetimes can be coordinated with changes…
Amplification and detection of single molecule conformational fluctuation through a protein interaction network with bimodal distributions
Zhanghan Wu, Vlad Elgart, Hong Qian +1
A protein undergoes conformational dynamics with multiple time scales, which results in fluctuating enzyme activities. Recent studies in single molecule enzymology have observe thi…
Aging processes in reversible reaction-diffusion systems
Vlad Elgart, Michel Pleimling
Reversible reaction-diffusion systems display anomalous dynamics characterized by a power-law relaxation toward stationarity. In this paper we study in the aging regime the nonequi…