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Navigation through the Plasma Membrane Molecular Landscape Shapes Random Organelle Movement

Eukaryotic plasma membrane organization theory has long been controversial, in part due to a dearth of suitably high-resolution techniques to probe molecular architecture in situ and integrate information from diverse data streams [1]. Notably, clustered patterning of membrane proteins is a commonly...

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Autores principales: Dun, Alison R., Lord, Gabriel J., Wilson, Rhodri S., Kavanagh, Deirdre M., Cialowicz, Katarzyna I., Sugita, Shuzo, Park, Seungmee, Yang, Lei, Smyth, Annya M., Papadopulos, Andreas, Rickman, Colin, Duncan, Rory R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300901/
https://www.ncbi.nlm.nih.gov/pubmed/28089515
http://dx.doi.org/10.1016/j.cub.2016.12.002
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author Dun, Alison R.
Lord, Gabriel J.
Wilson, Rhodri S.
Kavanagh, Deirdre M.
Cialowicz, Katarzyna I.
Sugita, Shuzo
Park, Seungmee
Yang, Lei
Smyth, Annya M.
Papadopulos, Andreas
Rickman, Colin
Duncan, Rory R.
author_facet Dun, Alison R.
Lord, Gabriel J.
Wilson, Rhodri S.
Kavanagh, Deirdre M.
Cialowicz, Katarzyna I.
Sugita, Shuzo
Park, Seungmee
Yang, Lei
Smyth, Annya M.
Papadopulos, Andreas
Rickman, Colin
Duncan, Rory R.
author_sort Dun, Alison R.
collection PubMed
description Eukaryotic plasma membrane organization theory has long been controversial, in part due to a dearth of suitably high-resolution techniques to probe molecular architecture in situ and integrate information from diverse data streams [1]. Notably, clustered patterning of membrane proteins is a commonly conserved feature across diverse protein families (reviewed in [2]), including the SNAREs [3], SM proteins [4, 5], ion channels [6, 7], and receptors (e.g., [8]). Much effort has gone into analyzing the behavior of secretory organelles [9, 10, 11, 12, 13], and understanding the relationship between the membrane and proximal organelles [4, 5, 12, 14] is an essential goal for cell biology as broad concepts or rules may be established. Here we explore the generally accepted model that vesicles at the plasmalemma are guided by cytoskeletal tracks to specific sites on the membrane that have clustered molecular machinery for secretion [15], organized in part by the local lipid composition [16]. To increase our understanding of these fundamental processes, we integrated nanoscopy and spectroscopy of the secretory machinery with organelle tracking data in a mathematical model, iterating with knockdown cell models. We find that repeated routes followed by successive vesicles, the re-use of similar fusion sites, and the apparently distinct vesicle “pools” are all fashioned by the Brownian behavior of organelles overlaid on navigation between non-reactive secretory protein molecular depots patterned at the plasma membrane.
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spelling pubmed-53009012017-02-17 Navigation through the Plasma Membrane Molecular Landscape Shapes Random Organelle Movement Dun, Alison R. Lord, Gabriel J. Wilson, Rhodri S. Kavanagh, Deirdre M. Cialowicz, Katarzyna I. Sugita, Shuzo Park, Seungmee Yang, Lei Smyth, Annya M. Papadopulos, Andreas Rickman, Colin Duncan, Rory R. Curr Biol Report Eukaryotic plasma membrane organization theory has long been controversial, in part due to a dearth of suitably high-resolution techniques to probe molecular architecture in situ and integrate information from diverse data streams [1]. Notably, clustered patterning of membrane proteins is a commonly conserved feature across diverse protein families (reviewed in [2]), including the SNAREs [3], SM proteins [4, 5], ion channels [6, 7], and receptors (e.g., [8]). Much effort has gone into analyzing the behavior of secretory organelles [9, 10, 11, 12, 13], and understanding the relationship between the membrane and proximal organelles [4, 5, 12, 14] is an essential goal for cell biology as broad concepts or rules may be established. Here we explore the generally accepted model that vesicles at the plasmalemma are guided by cytoskeletal tracks to specific sites on the membrane that have clustered molecular machinery for secretion [15], organized in part by the local lipid composition [16]. To increase our understanding of these fundamental processes, we integrated nanoscopy and spectroscopy of the secretory machinery with organelle tracking data in a mathematical model, iterating with knockdown cell models. We find that repeated routes followed by successive vesicles, the re-use of similar fusion sites, and the apparently distinct vesicle “pools” are all fashioned by the Brownian behavior of organelles overlaid on navigation between non-reactive secretory protein molecular depots patterned at the plasma membrane. Cell Press 2017-02-06 /pmc/articles/PMC5300901/ /pubmed/28089515 http://dx.doi.org/10.1016/j.cub.2016.12.002 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Report
Dun, Alison R.
Lord, Gabriel J.
Wilson, Rhodri S.
Kavanagh, Deirdre M.
Cialowicz, Katarzyna I.
Sugita, Shuzo
Park, Seungmee
Yang, Lei
Smyth, Annya M.
Papadopulos, Andreas
Rickman, Colin
Duncan, Rory R.
Navigation through the Plasma Membrane Molecular Landscape Shapes Random Organelle Movement
title Navigation through the Plasma Membrane Molecular Landscape Shapes Random Organelle Movement
title_full Navigation through the Plasma Membrane Molecular Landscape Shapes Random Organelle Movement
title_fullStr Navigation through the Plasma Membrane Molecular Landscape Shapes Random Organelle Movement
title_full_unstemmed Navigation through the Plasma Membrane Molecular Landscape Shapes Random Organelle Movement
title_short Navigation through the Plasma Membrane Molecular Landscape Shapes Random Organelle Movement
title_sort navigation through the plasma membrane molecular landscape shapes random organelle movement
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300901/
https://www.ncbi.nlm.nih.gov/pubmed/28089515
http://dx.doi.org/10.1016/j.cub.2016.12.002
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