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Bulletin of Mathematical Biology

, Volume 81, Issue 3, pp 722–758 | Cite as

A Growth-Fragmentation Approach for Modeling Microtubule Dynamic Instability

  • Stéphane Honoré
  • Florence Hubert
  • Magali Tournus
  • Diana WhiteEmail author
Original Article
  • 69 Downloads

Abstract

Microtubules (MTs) are protein filaments found in all eukaryotic cells which are crucial for many cellular processes including cell movement, cell differentiation, and cell division. Due to their role in cell division, they are often used as targets for chemotherapy drugs used in cancer treatment. Experimental studies of MT dynamics have played an important role in the development and administration of many novel cancer drugs; however, a complete description of MT dynamics is lacking. Here, we propose a new mathematical model for MT dynamics, that can be used to study the effects of chemotherapy drugs on MT dynamics. Our model consists of a growth-fragmentation equation describing the dynamics of a length distribution of MTs, coupled with two ODEs that describe the dynamics of free GTP- and GDP-tubulin concentrations (the individual dimers that comprise of MTs). Here, we prove the well-posedness of our system and perform a numerical exploration of the influence of certain model parameters on the systems dynamics. In particular, we focus on a qualitative description for how a certain class of destabilizing drugs, the vinca alkaloids, alter MT dynamics. Through variation of certain model parameters which we know are altered by these drugs, we make comparisons between simulation results and what is observed in in vitro studies.

Keywords

Growth-fragmentation model Banach fixed point Microtubules dynamics 

Mathematics Subject Classification

45K05 92C37 

Notes

Acknowledgements

The program is funded thanks to the support of the A*MIDEX Project (No. ANR-11-IDEX-0001-02) funded by the “Investissements d’Avenir” French Government program, managed by the French National Research Agency (ANR), and the support INSERM Plan cancer No. PC201418. D.W. was supported by the programs cited above through a post-doc funding, F.H. and M.T. were partially supported by the programs cited above. We thank Saulo de Matos Silva for his careful reading and comments, in particular for a significant improvement of proofs in Section 4.6. We thank the anonymous referees for their helpful suggestions.

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Copyright information

© Society for Mathematical Biology 2018

Authors and Affiliations

  • Stéphane Honoré
    • 1
    • 2
  • Florence Hubert
    • 3
  • Magali Tournus
    • 3
  • Diana White
    • 4
    Email author
  1. 1.CNRS, INP, Inst Neurophysiopathol, Faculté de Pharmacie de MarseilleAix Marseille UniversityMarseilleFrance
  2. 2.Service pharmacie, CHU Hôpital de La TimoneAPHMMarseilleFrance
  3. 3.CNRS, Centrale Marseille, I2MAix Marseille UniversityMarseilleFrance
  4. 4.Department of MathematicsClarkson UniversityPotsdamUSA

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