In this article we demonstrate that the so-called bursting production of molecular species during gene expression may be an artifact caused by low time resolution in experimental data collection and not an actual burst in production. We reach this conclusion through an analysis of a two-stage and binary model for gene expression, and demonstrate that in the limit when mRNA degradation is much faster than protein degradation they are equivalent. The negative binomial distribution is shown to be a limiting case of the binary model for fast "on to off" state transitions and high values of the ratio between protein synthesis and degradation rates. The gene products population increases by unity but multiple times in a time interval orders of ma...
Gene expression, which connects genomic information to functional units in living cells, has receive...
AbstractHomogeneous cell populations can exhibit considerable cell-to-cell variability in protein le...
This paper considers the behavior of discrete and continuous mathematical models for gene expression...
13 pagesnon publiéIn this article we demonstrate that the so-called bursting production of molecular...
The bulk of stochastic gene expression models in the literature do not have an explicit description ...
<p>Recent analyses with high-resolution single-molecule experimental methods have shown highly irreg...
Gene expression programs in living cells are highly dynamic due to spatiotemporal molecular signalin...
1 Mechanistic model of bursts in mRNA synthesis Here, we describe a stochastic model of gene express...
A theoretical framework is presented, which derives chemical master equations for the number of prot...
Gene expression, which connects genomic information to functional units in living cells, has receive...
In prokaryotes and eukaryotes, most genes appear to be transcribed during short periods called trans...
Gene expression in individual cells is highly variable and sporadic, often resulting in the syn-thes...
<p>(A): mRNA (upper plots) and corresponding protein time courses (lower plots) of reaction systems ...
Expression of many genes varies as a cell transitions through different cell-cycle stages. How coupl...
In mammals, transcription was observed to occur predominantly in bursts, resulting from short and in...
Gene expression, which connects genomic information to functional units in living cells, has receive...
AbstractHomogeneous cell populations can exhibit considerable cell-to-cell variability in protein le...
This paper considers the behavior of discrete and continuous mathematical models for gene expression...
13 pagesnon publiéIn this article we demonstrate that the so-called bursting production of molecular...
The bulk of stochastic gene expression models in the literature do not have an explicit description ...
<p>Recent analyses with high-resolution single-molecule experimental methods have shown highly irreg...
Gene expression programs in living cells are highly dynamic due to spatiotemporal molecular signalin...
1 Mechanistic model of bursts in mRNA synthesis Here, we describe a stochastic model of gene express...
A theoretical framework is presented, which derives chemical master equations for the number of prot...
Gene expression, which connects genomic information to functional units in living cells, has receive...
In prokaryotes and eukaryotes, most genes appear to be transcribed during short periods called trans...
Gene expression in individual cells is highly variable and sporadic, often resulting in the syn-thes...
<p>(A): mRNA (upper plots) and corresponding protein time courses (lower plots) of reaction systems ...
Expression of many genes varies as a cell transitions through different cell-cycle stages. How coupl...
In mammals, transcription was observed to occur predominantly in bursts, resulting from short and in...
Gene expression, which connects genomic information to functional units in living cells, has receive...
AbstractHomogeneous cell populations can exhibit considerable cell-to-cell variability in protein le...
This paper considers the behavior of discrete and continuous mathematical models for gene expression...