Identifiability analysis for models of the translation kinetics after mRNA transfection

Pieschner S, Hasenauer J, Fuchs C (2022)
Journal of Mathematical Biology 84(7): 56.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Pieschner, Susanne; Hasenauer, Jan; Fuchs, ChristianeUniBi
Abstract / Bemerkung
Mechanistic models are a powerful tool to gain insights into biological processes. The parameters of such models, e.g. kinetic rate constants, usually cannot be measured directly but need to be inferred from experimental data. In this article, we study dynamical models of the translation kinetics after mRNA transfection and analyze their parameter identifiability. That is, whether parameters can be uniquely determined from perfect or realistic data in theory and practice. Previous studies have considered ordinary differential equation (ODE) models of the process, and here we formulate a stochastic differential equation (SDE) model. For both model types, we consider structural identifiability based on the model equations and practical identifiability based on simulated as well as experimental data and find that the SDE model provides better parameter identifiability than the ODE model. Moreover, our analysis shows that even for those parameters of the ODE model that are considered to be identifiable, the obtained estimates are sometimes unreliable. Overall, our study clearly demonstrates the relevance of considering different modeling approaches and that stochastic models can provide more reliable and informative results.
Erscheinungsjahr
2022
Zeitschriftentitel
Journal of Mathematical Biology
Band
84
Ausgabe
7
Art.-Nr.
56
ISSN
0303-6812
eISSN
1432-1416
Page URI
https://pub.uni-bielefeld.de/record/2963169

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Pieschner S, Hasenauer J, Fuchs C. Identifiability analysis for models of the translation kinetics after mRNA transfection. Journal of Mathematical Biology. 2022;84(7): 56.
Pieschner, S., Hasenauer, J., & Fuchs, C. (2022). Identifiability analysis for models of the translation kinetics after mRNA transfection. Journal of Mathematical Biology, 84(7), 56. https://doi.org/10.1007/s00285-022-01739-x
Pieschner, S., Hasenauer, J., and Fuchs, C. (2022). Identifiability analysis for models of the translation kinetics after mRNA transfection. Journal of Mathematical Biology 84:56.
Pieschner, S., Hasenauer, J., & Fuchs, C., 2022. Identifiability analysis for models of the translation kinetics after mRNA transfection. Journal of Mathematical Biology, 84(7): 56.
S. Pieschner, J. Hasenauer, and C. Fuchs, “Identifiability analysis for models of the translation kinetics after mRNA transfection”, Journal of Mathematical Biology, vol. 84, 2022, : 56.
Pieschner, S., Hasenauer, J., Fuchs, C.: Identifiability analysis for models of the translation kinetics after mRNA transfection. Journal of Mathematical Biology. 84, : 56 (2022).
Pieschner, Susanne, Hasenauer, Jan, and Fuchs, Christiane. “Identifiability analysis for models of the translation kinetics after mRNA transfection”. Journal of Mathematical Biology 84.7 (2022): 56.

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PMID: 35577967
PubMed | Europe PMC

Preprint: 10.1101/2021.05.18.444633

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