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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2021
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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) |
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Biology (General) QH301-705.5 |
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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. |
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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 |
_version_ |
1718375791709913088 |