dorsal/arxiv
View SchemaTranscriptional Regulation by the Numbers 2: Applications
| Authors | Lacramioara Bintu, Nicolas E. Buchler, Hernan G. Garcia, Ulrich Gerland, Terence Hwa, Jane' Kondev, Thomas Kuhlman, Rob Phillips |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0412011 |
| URL | https://arxiv.org/abs/q-bio/0412011 |
Abstract
With the increasing amount of experimental data on gene expression and regulation, there is a growing need for quantitative models to describe the data and relate them to the different contexts. The thermodynamic models reviewed in the preceding paper provide a useful framework for the quantitative analysis of bacterial transcription regulation. We review a number of well-characterized bacterial promoters that are regulated by one or two species of transcription factors, and apply the thermodynamic framework to these promoters. We show that the framework allows one to quantify vastly different forms of gene expression using a few parameters. As such, it provides a compact description useful for higher-level studies, e.g., of genetic networks, without the need to invoke the biochemical details of every component. Moreover, it can be used to generate hypotheses on the likely mechanisms of transcriptional control.
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"abstract": "With the increasing amount of experimental data on gene expression and\nregulation, there is a growing need for quantitative models to describe the\ndata and relate them to the different contexts. The thermodynamic models\nreviewed in the preceding paper provide a useful framework for the quantitative\nanalysis of bacterial transcription regulation. We review a number of\nwell-characterized bacterial promoters that are regulated by one or two species\nof transcription factors, and apply the thermodynamic framework to these\npromoters. We show that the framework allows one to quantify vastly different\nforms of gene expression using a few parameters. As such, it provides a compact\ndescription useful for higher-level studies, e.g., of genetic networks, without\nthe need to invoke the biochemical details of every component. Moreover, it can\nbe used to generate hypotheses on the likely mechanisms of transcriptional\ncontrol.",
"arxiv_id": "q-bio/0412011",
"authors": [
"Lacramioara Bintu",
"Nicolas E. Buchler",
"Hernan G. Garcia",
"Ulrich Gerland",
"Terence Hwa",
"Jane\u0027 Kondev",
"Thomas Kuhlman",
"Rob Phillips"
],
"categories": [
"q-bio.MN",
"q-bio.QM"
],
"title": "Transcriptional Regulation by the Numbers 2: Applications",
"url": "https://arxiv.org/abs/q-bio/0412011"
},
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