Trade-offs among transcription elongation rate, number, and duration of ubiquitous pauses on highly transcribed bacterial genes.

DNA transcription average transcription rate mathematical modeling maximal elongation rate partial differential equations ribosomal genes

Journal

Journal of bioinformatics and computational biology
ISSN: 1757-6334
Titre abrégé: J Bioinform Comput Biol
Pays: Singapore
ID NLM: 101187344

Informations de publication

Date de publication:
10 2021
Historique:
pubmed: 7 8 2021
medline: 18 1 2022
entrez: 6 8 2021
Statut: ppublish

Résumé

In this paper, we study the limitations imposed on the transcription process by the presence of short ubiquitous pauses and crowding. These effects are especially pronounced in highly transcribed genes such as ribosomal genes (

Identifiants

pubmed: 34353243
doi: 10.1142/S0219720021500207
doi:

Substances chimiques

DNA-Directed RNA Polymerases EC 2.7.7.6

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2150020

Auteurs

Tomáš Gedeon (T)

Department of Mathematical Sciences, Montana State University, P.O. Box 172400, Bozeman, MT 59717-2400, USA.

Lisa Davis (L)

Department of Mathematical Sciences, Montana State University, P.O. Box 172400, Bozeman, MT 59717-2400, USA.

Katelyn Weber (K)

Department of Statistics, London School of Economics and Political Science, London, UK.

Jennifer Thorenson (J)

Department of Mathematics, University of Oregon, Eugene, OR, USA.

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Classifications MeSH