English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The intrinsic stochasticity of gene expression can lead to large variabilityof protein levels across a population of cells. Variability (or noise) inprotein distributions can be modulated by cellular mechanisms of generegulation; in particular, there is considerable interest in understanding therole of post-transcriptional regulation. To address this issue, we propose andanalyze a stochastic model for post-transcriptional regulation of geneexpression. The analytical solution of the model provides insight into theeffects of different mechanisms of post-transcriptional regulation on the noisein protein distributions. The results obtained also demonstrate how differentsources of intrinsic noise in gene expression can be discriminated based onobservations of regulated protein distributions.

Post-transcriptional regulation of noise in protein distributions during gene expression