Ten steps to investigate a cellular system with mathematical modeling

Jasia King; Kerbai Said Eroume; Roman Truckenmuller; Stefan Giselbrecht; Ann E. Cowan; Leslie Loew; Aurelie Carlier

doi:10.1371/journal.pcbi.1008921

Ten steps to investigate a cellular system with mathematical modeling

Jasia King, Kerbai Said Eroume, Roman Truckenmuller, Stefan Giselbrecht, Ann E. Cowan, Leslie Loew, Aurelie Carlier^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Cellular and intracellular processes are inherently complex due to the large number of components and interactions, which are often nonlinear and occur at different spatiotemporal scales. Because of this complexity, mathematical modeling is increasingly used to simulate such systems and perform experiments in silico, many orders of magnitude faster than real experiments and often at a higher spatiotemporal resolution. In this article, we will focus on the generic modeling process and illustrate it with an example model of membrane lipid turnover.

Original language	English
Article number	1008921
Number of pages	8
Journal	PLoS Computational Biology
Volume	17
Issue number	5
DOIs	https://doi.org/10.1371/journal.pcbi.1008921
Publication status	Published - May 2021

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10.1371/journal.pcbi.1008921Licence: CC BY

Cite this

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title = "Ten steps to investigate a cellular system with mathematical modeling",

abstract = "Cellular and intracellular processes are inherently complex due to the large number of components and interactions, which are often nonlinear and occur at different spatiotemporal scales. Because of this complexity, mathematical modeling is increasingly used to simulate such systems and perform experiments in silico, many orders of magnitude faster than real experiments and often at a higher spatiotemporal resolution. In this article, we will focus on the generic modeling process and illustrate it with an example model of membrane lipid turnover.",

author = "Jasia King and Eroume, {Kerbai Said} and Roman Truckenmuller and Stefan Giselbrecht and Cowan, {Ann E.} and Leslie Loew and Aurelie Carlier",

note = "Funding Information: AC, SG, RT kindly acknowledge the Dutch province of Limburg in the LINK (FCL67723 - SAS- 2014-00837 and SAS-2018-02477) ({"}Limburg INvesteert in haar Kenniseconomie{"}) knowledge economy project. AC acknowledges a VENI grant (number 15075) from the Dutch Science Foundation (NWO). JK acknowledges the support by the partners of RegMed XB, powered by Health-Holland, Top Sector Life Sciences & Health. AC and LL acknowledge the support by National Institute for General Medical Sciences of the National Institutes of Health under grant number R24 GM137787. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2021 King et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",

year = "2021",

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AU - King, Jasia

AU - Eroume, Kerbai Said

AU - Truckenmuller, Roman

AU - Giselbrecht, Stefan

AU - Cowan, Ann E.

AU - Loew, Leslie

AU - Carlier, Aurelie

N1 - Funding Information: AC, SG, RT kindly acknowledge the Dutch province of Limburg in the LINK (FCL67723 - SAS- 2014-00837 and SAS-2018-02477) ("Limburg INvesteert in haar Kenniseconomie") knowledge economy project. AC acknowledges a VENI grant (number 15075) from the Dutch Science Foundation (NWO). JK acknowledges the support by the partners of RegMed XB, powered by Health-Holland, Top Sector Life Sciences & Health. AC and LL acknowledge the support by National Institute for General Medical Sciences of the National Institutes of Health under grant number R24 GM137787. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: © 2021 King et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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N2 - Cellular and intracellular processes are inherently complex due to the large number of components and interactions, which are often nonlinear and occur at different spatiotemporal scales. Because of this complexity, mathematical modeling is increasingly used to simulate such systems and perform experiments in silico, many orders of magnitude faster than real experiments and often at a higher spatiotemporal resolution. In this article, we will focus on the generic modeling process and illustrate it with an example model of membrane lipid turnover.

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