506 results found
    1. Computational and Systems Biology
    2. Chromosomes and Gene Expression

    Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism

    Iain G Johnston et al.
    New modelling, statistics, and experiments show that cellular populations of mitochondrial DNA (mtDNA) evolve during development according to solvable stochastic dynamics involving binomial partitioning and random turnover, facilitating a predictive and quantitative theory of the mtDNA bottleneck.
    1. Cell Biology
    2. Computational and Systems Biology

    Spatially coordinated dynamic gene transcription in living pituitary tissue

    Karen Featherstone et al.
    Quantitative statistical modelling reveals local coordination of stochastic gene transcription dynamics in pituitary tissue, which is relevant for integrated tissue responses to physiological stimuli.
    1. Computational and Systems Biology
    2. Neuroscience

    Multivariate stochastic volatility modeling of neural data

    Tung D Phan et al.
    Multivariate stochastic volatility models provide insights into understanding the dynamics and connectivity of neural signals during cognitive tasks.
    1. Computational and Systems Biology
    2. Chromosomes and Gene Expression

    Single-cell analysis of transcription kinetics across the cell cycle

    Samuel O Skinner et al.
    By properly accounting for gene copy number and cell-cycle effects, single cell snapshots of nascent and mature mRNA can be used to unveil the stochastic kinetics of gene activity.
    1. Neuroscience

    Rapid regulation of vesicle priming explains synaptic facilitation despite heterogeneous vesicle:Ca2+ channel distances

    Janus RL Kobbersmed et al.
    Heterogeneous distances between vesicles and Ca2+-channels make synapses prone to short-term depression, however, Ca2+-dependent increases in the number of release-ready vesicles supports facilitation even with broadly distributed vesicle:Ca2+-channel distances.
    1. Microbiology and Infectious Disease

    Experimentally guided models reveal replication principles that shape the mutation distribution of RNA viruses

    Michael B Schulte et al.
    A mathematical model that combines stochasticity and spatial structure describes the dynamics of the viral population during an infection cycle, and fitting the model to RNA and virus abundances over time shows that poliovirus follows a geometric replication mode.
    1. Computational and Systems Biology
    2. Chromosomes and Gene Expression

    A continuum model of transcriptional bursting

    Adam M Corrigan et al.
    Rather than switching between discrete on and off states, gene transcription exists in a spectrum or continuum of states, with a slowly changing initiation rate modulating the levels of activity.
    1. Physics of Living Systems

    Stochastic yield catastrophes and robustness in self-assembly

    Florian M Gartner et al.
    Fluctuations in the availability of particles for binding can completely jeopardize yield in heterogeneous self-assembly.
    1. Cell Biology
    2. Computational and Systems Biology

    Evaluation of predictions of the stochastic model of organelle production based on exact distributions

    C Jeremy Craven
    A reanalysis of the stochastic model of organelle production (Mukherji and O'Shea, 2014) suggests that this model requires significant further discussion.
    1. Computational and Systems Biology
    2. Neuroscience

    Chemotaxis: In search of lost scent

    Ronald L Calabrese
    Insight
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