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Kinetic Model of Translational Autoregulation
Open accessPreprint — published as 10.1021/acs.jpcb.8b09503 · Paper page
Abstract
We investigate dynamics of a kinetic model of inhibitory autoregulation as exemplified when a protein inhibits its own production by interfering with its messenger RNA, known in molecular biology as translational autoregulation. We first show how linear models without feedback set the stage with a nonequilibrium steady state that constitutes the target of the regulation. However, regulation in the simple linear model is far from optimal. The negative feedback mechanism whereby the protein “jams” the mRNA greatly enhances the effectiveness of the control, with response to perturbation that is targeted, rapid, and metabolically efficient. Understanding the full dynamics of the system phase space is essential to understanding the autoregulation process.
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Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
Research works printed but not linked: 26
- Spann, J. A. E. ; Piek, J. J. ; Siebes, M. In Heart Physiology and Pathophysiology, 4th ed.; Sperelakis, N. , Kurachi, Y. , Terzic, A. , Cohen, M. V. , Eds.; Academic Press: Boston, 2001.
- 10.1126/science.1156951 · DOI
- 10.1016/0022-2836(78)90280-2 · DOI
- 10.1016/0022-2836(82)90548-4 · DOI
- 10.1006/jmbi.1993.1372 · DOI
- Karam, J. D. ; Drake, J. W. ; Kreuzer, K. N. Molecular Biology of Bacteriophage T4, 1st ed.; American Society for Microbiology, 1994. · DOI
- 10.1016/j.cell.2011.02.013 · DOI · Paper page
- Ingalls, B. P. Mathematical Modeling in Systems Biology: An Introduction, 1st ed.; The MIT Press, 2013.
- Alon, U. An Introduction to Systems Biology: Design Principles of Biological Circuits, 1st ed.; Chapman and Hall/CRC, 2006. · DOI · Paper page
- 1989, The role of mRNA and protein stability in gene expression, FASEB J., 3, 2360, 10.1096/fasebj.3.12.2676679 · DOI
- 10.1038/nrg3185 · DOI · Paper page
- 10.1016/S0022-2836(02)00994-4 · DOI
- 10.1016/0010-2180(92)90034-M · DOI
- 10.1063/1.479372 · DOI
- 10.1038/nrm2530 · DOI · Paper page
- 2002, Induction of thymidylate synthase as a 5-fluorouracil resistance mechanism, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, 1587, 194, 10.1016/S0925-4439(02)00082-0 · DOI
- 2015, Inside the biochemical pathways of thymidylate synthase perturbed by anticancer drugs: Novel strategies to overcome cancer chemoresistance, Drug Resist. Updat., 23, 20, 10.1016/j.drup.2015.10.003 · DOI
- 10.1093/nar/gkt098 · DOI
- 10.1038/nprot.2013.066 · DOI
- 10.1016/j.gene.2005.06.037 · DOI
- 10.1038/nrm2838 · DOI · Paper page
- 1991, Autoregulation of human thymidylate synthase messenger RNA translation by thymidylate synthase, Sem. Cell Dev. Biol., 88, 8977
- 10.1093/nar/gkq024 · DOI
- 10.1016/j.cub.2012.03.045 · DOI
- 2009, Cancer attractors: A systems view of tumors from a gene network dynamics and developmental perspective, Sem. Cell Dev. Biol., 7, 869
- Tabor, M. Chaos and Integrability in Nonlinear Dynamics: An Introduction, 1st ed.; Wiley-Interscience, 1989.
Metadata
- Authors
- Tyng, V., & Kellman, M. E.
- Affiliations
- University of Oregon (US)
- Corresponding author
- Kellman, Michael E.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- openRxiv
- Published
- 2018-10-03
- Volume
- 123
- Issue
- 2
- Pages
- 369-378
- ISSN
- 1520-5207 (ISSN-L)
- OpenAlex
- W2950769926
- Cited by
- 5
- References
- 1
- Citations by year
- 2025: 1 · 2022: 3 · 2021: 1
- FWCI
- 0.09
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- The Journal of Physical Chemistry B (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- University of Oregon Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Advanced Thermodynamics and Statistical Mechanics
- Keywords
- negative feedback, protein synthesis regulation, nonequilibrium steady states, linear kinetic model, phase space dynamics, metabolic efficiency
- MeSH terms
- Feedback, Homeostasis, Kinetics, Models, Genetic, Proteins, RNA, Messenger, Protein Biosynthesis
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