Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Robustness of bidirectional microtubule network self-organization

Aleksandra Z. Płochocka, Alexander M. Davie, Natalia. A. Bulgakova, Lyubov Chumakova
doi: https://doi.org/10.1101/825786
Aleksandra Z. Płochocka
1Center for Computational Biology and Center for Computational Mathematics, Flatiron Institute, New York, NY, USA, 10010
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexander M. Davie
2Maxwell Institute for Mathematical Sciences, School of Mathematics, The University of Edinburgh, Edinburgh, UK, EH9 3FD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Natalia. A. Bulgakova
3Department of Biomedical Science, The University of Sheffield, Sheffield, UK, S10 2TN
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: n.bulgakova@sheffield.ac.uk
Lyubov Chumakova
2Maxwell Institute for Mathematical Sciences, School of Mathematics, The University of Edinburgh, Edinburgh, UK, EH9 3FD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Robustness of biological systems is crucial for their survival, however, for many systems its origin is an open question. Here we analyze one sub-cellular level system, the microtubule cytoskeleton. Microtubules self-organize into a network, along which cellular components are delivered to their biologically relevant locations. While individual microtubule are highly dynamic with their dynamics depends on the organism environment and genetics, network sensitivity to this dynamics would result in pathologies. Combining mathematical modelling with genetic manipulations in Drosophila, we show that the microtubule self-organization indeed does not depend on dynamics of individual microtubules, and thus is robust on the tissue level. We demonstrate the origin of this robustness via a mathematical model, suggesting this being a generic mechanism.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted October 31, 2019.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Robustness of bidirectional microtubule network self-organization
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Robustness of bidirectional microtubule network self-organization
Aleksandra Z. Płochocka, Alexander M. Davie, Natalia. A. Bulgakova, Lyubov Chumakova
bioRxiv 825786; doi: https://doi.org/10.1101/825786
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Robustness of bidirectional microtubule network self-organization
Aleksandra Z. Płochocka, Alexander M. Davie, Natalia. A. Bulgakova, Lyubov Chumakova
bioRxiv 825786; doi: https://doi.org/10.1101/825786

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Cell Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3505)
  • Biochemistry (7348)
  • Bioengineering (5324)
  • Bioinformatics (20266)
  • Biophysics (10019)
  • Cancer Biology (7744)
  • Cell Biology (11305)
  • Clinical Trials (138)
  • Developmental Biology (6437)
  • Ecology (9953)
  • Epidemiology (2065)
  • Evolutionary Biology (13325)
  • Genetics (9361)
  • Genomics (12586)
  • Immunology (7702)
  • Microbiology (19024)
  • Molecular Biology (7443)
  • Neuroscience (41041)
  • Paleontology (300)
  • Pathology (1229)
  • Pharmacology and Toxicology (2138)
  • Physiology (3161)
  • Plant Biology (6861)
  • Scientific Communication and Education (1273)
  • Synthetic Biology (1896)
  • Systems Biology (5313)
  • Zoology (1089)