Translation regulation by RNA stem-loops can reduce gene expression noise
In conclusion, we investigate a structured/generalised version of a stochastic gene-expression model, wherein mRNA molecules can be found in one of their finite number of different states and transition between them. By characterising and deriving non-trivial analytical expressions for the steady-state protein distribution, we provide two specific examples which can be readily obtained from the structured/generalised model, showcasing the model's practical applicability.
Authors
- Abhyudai Singh (ORCID: https://orcid.org/0000-0002-1451-2838)
- Pavol Bokes (ORCID: https://orcid.org/0000-0002-8414-6933)
- Candan Çelik (ORCID: https://orcid.org/0000-0002-6730-9323)
Institutions
- Istanbul Aydın University (TR)
- Slovak Academy of Sciences (SK)
- Mathematical Institute of the Slovak Academy of Sciences (SK)
- Comenius University Bratislava (SK)
- University of Delaware (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1186/s12859-024-05939-8
- Citations
- 1
- Primary Topic
- Gene Regulatory Network Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- Univerzita Komenského v Bratislave
- Agentúra na Podporu Výskumu a Vývoja
- Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
- National Institutes of Health
- Army Research Office