Insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation.

The dynamics by which polymeric protein filaments divide in the presence of negligible growth, for example due to the depletion of free monomeric precursors, can be described by the universal mathematical equations of 'pure fragmentation'. The rates of fragmentation reactions reflect the s...

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Autores principales: Magali Tournus, Miguel Escobedo, Wei-Feng Xue, Marie Doumic
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/9b14117f4cd5478ab1b4b5ddaa9305d9
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spelling oai:doaj.org-article:9b14117f4cd5478ab1b4b5ddaa9305d92021-12-02T19:57:51ZInsights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation.1553-734X1553-735810.1371/journal.pcbi.1008964https://doaj.org/article/9b14117f4cd5478ab1b4b5ddaa9305d92021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1008964https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358The dynamics by which polymeric protein filaments divide in the presence of negligible growth, for example due to the depletion of free monomeric precursors, can be described by the universal mathematical equations of 'pure fragmentation'. The rates of fragmentation reactions reflect the stability of the protein filaments towards breakage, which is of importance in biology and biomedicine for instance in governing the creation of amyloid seeds and the propagation of prions. Here, we devised from mathematical theory inversion formulae to recover the division rates and division kernel information from time-dependent experimental measurements of filament size distribution. The numerical approach to systematically analyze the behaviour of pure fragmentation trajectories was also developed. We illustrate how these formulae can be used, provide some insights on their robustness, and show how they inform the design of experiments to measure fibril fragmentation dynamics. These advances are made possible by our central theoretical result on how the length distribution profile of the solution to the pure fragmentation equation aligns with a steady distribution profile for large times.Magali TournusMiguel EscobedoWei-Feng XueMarie DoumicPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 9, p e1008964 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Magali Tournus
Miguel Escobedo
Wei-Feng Xue
Marie Doumic
Insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation.
description The dynamics by which polymeric protein filaments divide in the presence of negligible growth, for example due to the depletion of free monomeric precursors, can be described by the universal mathematical equations of 'pure fragmentation'. The rates of fragmentation reactions reflect the stability of the protein filaments towards breakage, which is of importance in biology and biomedicine for instance in governing the creation of amyloid seeds and the propagation of prions. Here, we devised from mathematical theory inversion formulae to recover the division rates and division kernel information from time-dependent experimental measurements of filament size distribution. The numerical approach to systematically analyze the behaviour of pure fragmentation trajectories was also developed. We illustrate how these formulae can be used, provide some insights on their robustness, and show how they inform the design of experiments to measure fibril fragmentation dynamics. These advances are made possible by our central theoretical result on how the length distribution profile of the solution to the pure fragmentation equation aligns with a steady distribution profile for large times.
format article
author Magali Tournus
Miguel Escobedo
Wei-Feng Xue
Marie Doumic
author_facet Magali Tournus
Miguel Escobedo
Wei-Feng Xue
Marie Doumic
author_sort Magali Tournus
title Insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation.
title_short Insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation.
title_full Insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation.
title_fullStr Insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation.
title_full_unstemmed Insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation.
title_sort insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/9b14117f4cd5478ab1b4b5ddaa9305d9
work_keys_str_mv AT magalitournus insightsintothedynamictrajectoriesofproteinfilamentdivisionrevealedbynumericalinvestigationintothemathematicalmodelofpurefragmentation
AT miguelescobedo insightsintothedynamictrajectoriesofproteinfilamentdivisionrevealedbynumericalinvestigationintothemathematicalmodelofpurefragmentation
AT weifengxue insightsintothedynamictrajectoriesofproteinfilamentdivisionrevealedbynumericalinvestigationintothemathematicalmodelofpurefragmentation
AT mariedoumic insightsintothedynamictrajectoriesofproteinfilamentdivisionrevealedbynumericalinvestigationintothemathematicalmodelofpurefragmentation
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