Quantifying how post-transcriptional noise and gene copy number variation bias transcriptional parameter inference from mRNA distributions

X Fu, HP Patel, S Coppola, L Xu, Z Cao, TL Lenstra… - Elife, 2022 - elifesciences.org
Transcriptional rates are often estimated by fitting the distribution of mature mRNA numbers
measured using smFISH (single molecule fluorescence in situ hybridization) with the …

Coupling gene expression dynamics to cell size dynamics and cell cycle events: Exact and approximate solutions of the extended telegraph model

C Jia, R Grima - Iscience, 2023 - cell.com
The standard model describing the fluctuations of mRNA numbers in single cells is the
telegraph model which includes synthesis and degradation of mRNA, and switching of the …

Analytical time-dependent distributions for gene expression models with complex promoter switching mechanisms

C Jia, Y Li - SIAM Journal on Applied Mathematics, 2023 - SIAM
Classical gene expression models assume exponential switching time distributions between
the active and inactive promoter states. However, recent experiments have shown that many …

Evolution of cell size control is canalized towards adders or sizers by cell cycle structure and selective pressures

F Proulx-Giraldeau, JM Skotheim, P François - Elife, 2022 - elifesciences.org
Cell size is controlled to be within a specific range to support physiological function. To
control their size, cells use diverse mechanisms ranging from 'sizers', in which differences in …

[HTML][HTML] Modulation of nuclear and cytoplasmic mRNA fluctuations by time-dependent stimuli: Analytical distributions

T Filatova, N Popović, R Grima - Mathematical biosciences, 2022 - Elsevier
Temporal variation of environmental stimuli leads to changes in gene expression. Since the
latter is noisy and since many reaction events occur between the birth and death of an …

Threshold-crossing time statistics for size-dependent gene expression in growing cells

C Nieto, KR Ghusinga… - 2022 American …, 2022 - ieeexplore.ieee.org
Many intracellular events trigger upon attaining critical concentrations of their corresponding
regulatory proteins. How cells ensure precision in the timing of these events is a …

[PDF][PDF] Accurate inference of stochastic gene expression from nascent transcript heterogeneity

X Fu, HP Patel, S Coppola, L Xu, Z Cao, TL Lenstra… - bioRxiv, 2021 - researchgate.net
Transcriptional rates are often estimated by fitting the distribution of mature mRNA numbers
measured using smFISH (single molecule fluorescence in situ hybridization) with the …

[PDF][PDF] Accuracy and limitations of extrinsic noise models to describe gene expression in growing cells

C Jia, R Grima - bioRxiv, 2022 - researchgate.net
The standard model describing the fluctuations of mRNA numbers in single cells is the
telegraph model which includes synthesis and degradation of mRNA, and switching of the …

Modeling cell size control under dynamic environments

C Nieto, C Vargas-García, JM Pedraza, A Singh - IFAC-PapersOnLine, 2022 - Elsevier
In nature, cells face changes in environmental conditions that can modify their growth rate. In
these dynamic environments, recent experiments found changes in cell size regulation …

Threshold-crossing time statistics for gene expression in growing cells

C Nieto, KR Ghusinga, C Vargas-García, A Singh - bioRxiv, 2022 - biorxiv.org
Many intracellular events are triggered by attaining critical concentrations of their
corresponding regulatory proteins. How cells ensure precision in the timing of the protein …