Abhyudai Singh

The paper infers cell division parameters in E. coli under nonsteady growth conditions using single-cell size trajectories and time-resolved models.

This study examines how C. glutamicum cells respond to pH stress by tracking cell size and survival, revealing stochastic and heritable differences in acid and alkaline stress survival.

The paper analyzes how degradation and bursty production affect the optimal feedback for minimizing timing variability in stochastic gene expression.

This study shows insulators dynamically enhance enhancer-promoter coordination in Drosophila embryos through looping and coordination of transcriptional bursts.

The paper shows that Cdc13 accumulation is independent of cell growth rate but can be altered by nutrient-specific mechanisms in fission yeast.

This study examines how resource constraints affect noise in gene regulatory circuits, showing that higher-order models reduce noise and resource limits can minimize stochastic switching in certain circuits.

This paper develops a stochastic framework to quantify how sequestration mechanisms modulate cell-to-cell protein level variation by analyzing fluctuation attenuation regimes.

The paper identifies heritable single-cell gene expression states in macrophages and shows how they influence immune response variability and infection outcomes.

The paper shows that cell death, not type-1 interferons, limits Chandipura virus propagation at high multiplicity of infection.

This study shows that foraging egg parasitoids benefit from the presence of competitors due to increased resource utilisation and emergence rates under certain conditions.

This study shows that enhancer-promoter configurations in Drosophila embryos affect transcriptional dynamics, with downstream enhancer positioning reducing mRNA output by 70%.

The paper analyzes how variability in cell division times affects protein concentration variability in cell lineages and populations, showing age-dependent differences in variance and skewness.

This study models gene expression variability in single cells and growing populations with feedback regulation, finding analytical solutions for protein concentration distributions and quantifying population growth parameters.

The paper develops a stochastic model of gene expression with state-dependent protein activation delays, showing that such delays reduce protein level fluctuations.

The paper models postsynaptic firing dynamics with and without an adaptive threshold, showing how inhibitory inputs can increase firing frequency and characterizing ISI noise properties.

This study shows that asymmetric histone inheritance in olfactory stem cells during regeneration affects cell fate and tissue repair in mice.

The paper examines how bacterial cell volume changes over the growth curve in response to nutrient conditions using microscopy and mathematical modeling, finding non-monotonic dynamics in biomass-to-cell-number ratios.

This study identifies widespread meropenem tolerance in clinical Klebsiella pneumoniae isolates and reveals genetic mechanisms involving cell envelope stress responses and lytic transglycosylase MltB.

The paper shows that young mother cells can establish slow-growing lineages in clonal yeast populations due to increased Whi5 expression linked to cell cycle phases.

This study shows that E. coli survives UV stress through inducible DNA repair rather than pre-existing tolerance.

The paper models how protein sequestration affects gene expression noise, showing that sequestration cooperativity and kinetics alter the distribution of free protein.

This study shows ITK differentially regulates early and late TCR transcriptional responses by affecting the kinetics and termination of activation signals in CD8+ T cells.

The paper develops an analytical method to compute mRNA and protein count distributions under random cell division times and analyzes noise contributions from intrinsic and extrinsic sources.

The paper shows that viral resistance in human skin cells is inherited through cellular lineages and preserved across generations.

The paper shows that noise in gene expression can differ between single-cell and population perspectives, with population-level noise being higher in some cases due to cell cycle dynamics and feedback loops.

This study identifies distinct growth and chaining properties in Clade 5 Clostridioides difficile strains using time-lapse microscopy, linked to the cmr switch sequence orientation.

This study analyzes bursty protein production in single cells and expanding populations using a Markovian model with feedback, showing differences in distribution patterns between single-cell and population-level dynamics.

The paper develops a stochastic framework for analyzing fluctuation tests with phenotypic switching, showing that stable distributions or large deviations theory can approximate the probability distribution of tolerant cells depending on switching frequency.

This study shows that modulating holin translation efficiency affects phage lysis timing and precision in E. coli, revealing how phages optimize replication and transmission.

The paper analyzes transcriptional bursting in Drosophila embryos to understand how spatial gene expression patterns are established despite variability in transcriptional activity.