Biochemical complexity drives log-normal variation in genetic expression
Cells exhibit a high degree of variation in levels of gene expression, even within otherwise homogeneous populations. The standard model to describe this variation centres on a gamma distribution driven by stochastic bursts of translation. Stochastic bursting, however, cannot account for the well-es...
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doaj-dd24c93c5742476bbaa21256f5c5f59d2021-04-02T14:04:33ZengWileyEngineering Biology2398-61822017-07-0110.1049/enb.2017.0004ENB.2017.0004Biochemical complexity drives log-normal variation in genetic expressionJacob Beal0Raytheon BBN TechnologiesCells exhibit a high degree of variation in levels of gene expression, even within otherwise homogeneous populations. The standard model to describe this variation centres on a gamma distribution driven by stochastic bursts of translation. Stochastic bursting, however, cannot account for the well-established behaviour of strong transcriptional repressors. Instead, it can be shown that the very complexity of the biochemical processes involved in gene expression drives an emergent log-normal distribution of expression levels. Emergent log-normal distributions can account for the observed behaviour of transcriptional repressors, are still compatible with stochastically constrained distributions, and have important implications for both analysis of gene expression data and the engineering of biological organisms.https://digital-library.theiet.org/content/journals/10.1049/enb.2017.0004geneticscellular biophysicsgamma distributionstochastic processesbiochemical complexitylog-normal variationgenetic expressiongene expressiongamma distributionstochastic burstingtranscriptional repressorsstochastically constrained distributions |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jacob Beal |
spellingShingle |
Jacob Beal Biochemical complexity drives log-normal variation in genetic expression Engineering Biology genetics cellular biophysics gamma distribution stochastic processes biochemical complexity log-normal variation genetic expression gene expression gamma distribution stochastic bursting transcriptional repressors stochastically constrained distributions |
author_facet |
Jacob Beal |
author_sort |
Jacob Beal |
title |
Biochemical complexity drives log-normal variation in genetic expression |
title_short |
Biochemical complexity drives log-normal variation in genetic expression |
title_full |
Biochemical complexity drives log-normal variation in genetic expression |
title_fullStr |
Biochemical complexity drives log-normal variation in genetic expression |
title_full_unstemmed |
Biochemical complexity drives log-normal variation in genetic expression |
title_sort |
biochemical complexity drives log-normal variation in genetic expression |
publisher |
Wiley |
series |
Engineering Biology |
issn |
2398-6182 |
publishDate |
2017-07-01 |
description |
Cells exhibit a high degree of variation in levels of gene expression, even within otherwise homogeneous populations. The standard model to describe this variation centres on a gamma distribution driven by stochastic bursts of translation. Stochastic bursting, however, cannot account for the well-established behaviour of strong transcriptional repressors. Instead, it can be shown that the very complexity of the biochemical processes involved in gene expression drives an emergent log-normal distribution of expression levels. Emergent log-normal distributions can account for the observed behaviour of transcriptional repressors, are still compatible with stochastically constrained distributions, and have important implications for both analysis of gene expression data and the engineering of biological organisms. |
topic |
genetics cellular biophysics gamma distribution stochastic processes biochemical complexity log-normal variation genetic expression gene expression gamma distribution stochastic bursting transcriptional repressors stochastically constrained distributions |
url |
https://digital-library.theiet.org/content/journals/10.1049/enb.2017.0004 |
work_keys_str_mv |
AT jacobbeal biochemicalcomplexitydriveslognormalvariationingeneticexpression |
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1721563222685777920 |