A stochastic vs deterministic perspective on the timing of cellular events
Cells are the fundamental units of life, and like all life forms, they change over time. Changes
in cell state are driven by molecular processes; of these many are initiated when molecule …
in cell state are driven by molecular processes; of these many are initiated when molecule …
Frequency-dependent modulation of stochasticity in postsynaptic neuron firing times
Action potential (AP)-triggered neurotransmitter release forms the key basis of inter-neuronal
communication. We present a stochastic hybrid system model that captures the release of …
communication. We present a stochastic hybrid system model that captures the release of …
Optimizing precision in cellular clocks through self-regulated accumulation of molecules
The timing of cellular events is often determined by the instant when the level of a chemical
species crosses a threshold from an initial value of zero. To attenuate the inherent random …
species crosses a threshold from an initial value of zero. To attenuate the inherent random …
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 …
regulatory proteins. How cells ensure precision in the timing of these events is a …
Mixed-feedback architectures for precise event timing through stochastic accumulation of biomolecules
The timing of biochemical events is often determined by the accumulation of a protein or
chemical species to a critical threshold level. In a stochastic model, we define event timing …
chemical species to a critical threshold level. In a stochastic model, we define event timing …
Feedback strategies for threshold crossing of protein levels at a prescribed time
The timing of diverse cellular processes is based on the instant when the concentration of
regulatory proteins crosses a critical threshold level. Hence, noise mechanisms inherent to …
regulatory proteins crosses a critical threshold level. Hence, noise mechanisms inherent to …
Limits on inferring gene regulatory networks subjected to different noise mechanisms
M Saint-Antoine, A Singh - bioRxiv, 2023 - biorxiv.org
One of the most difficult and pressing problems in computational cell biology is the inference
of gene regulatory network structure from transcriptomic data. Benchmarking network …
of gene regulatory network structure from transcriptomic data. Benchmarking network …
Stochastic analysis of frequency bandwidth and noise attenuation in neurotransmission
Action potential (AP)-triggered neurotransmitter release forms the key basis of inter-neuronal
communication. We present a stochastic hybrid system model that captures the release of …
communication. We present a stochastic hybrid system model that captures the release of …
The impact of decoys on a genetic oscillator based on coupled positive-negative feedbacks
Within cells, transcription factors (TFs) bind to a wide range of nonspecific genomic sites in
addition to their target sites. Binding to such high affinity “decoys” has been shown to …
addition to their target sites. Binding to such high affinity “decoys” has been shown to …
Regulatory strategies to schedule threshold crossing of protein levels at a prescribed time
The timing of diverse cellular processes is based on the instant when the concentration of
regulatory proteins crosses a critical threshold level. Hence, noise mechanisms inherent to …
regulatory proteins crosses a critical threshold level. Hence, noise mechanisms inherent to …