Recursive Alterations of the Relationship between Simple Membrane Geometry and Insertion of Amphiphilic Motifs

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Recursive Alterations of the Relationship between Simple Membrane Geometry and Insertion of Amphiphilic Motifs. / Madsen, Kenneth Lindegaard; Herlo, Rasmus.

In: Membranes, Vol. 7, No. 1, 7010006, 2017.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Madsen, KL & Herlo, R 2017, 'Recursive Alterations of the Relationship between Simple Membrane Geometry and Insertion of Amphiphilic Motifs', Membranes, vol. 7, no. 1, 7010006. https://doi.org/10.3390/membranes7010006

APA

Madsen, K. L., & Herlo, R. (2017). Recursive Alterations of the Relationship between Simple Membrane Geometry and Insertion of Amphiphilic Motifs. Membranes, 7(1), [7010006]. https://doi.org/10.3390/membranes7010006

Vancouver

Madsen KL, Herlo R. Recursive Alterations of the Relationship between Simple Membrane Geometry and Insertion of Amphiphilic Motifs. Membranes. 2017;7(1). 7010006. https://doi.org/10.3390/membranes7010006

Author

Madsen, Kenneth Lindegaard ; Herlo, Rasmus. / Recursive Alterations of the Relationship between Simple Membrane Geometry and Insertion of Amphiphilic Motifs. In: Membranes. 2017 ; Vol. 7, No. 1.

Bibtex

@article{2b7411a0923a49529da30bd67ddbeb8d,
title = "Recursive Alterations of the Relationship between Simple Membrane Geometry and Insertion of Amphiphilic Motifs",
abstract = "The shape and composition of a membrane directly regulate the localization, activity, and signaling properties of membrane associated proteins. Proteins that both sense and generate membrane curvature, e.g., through amphiphilic insertion motifs, potentially engage in recursive binding dynamics, where the recruitment of the protein itself changes the properties of the membrane substrate. Simple geometric models of membrane curvature interactions already provide prediction tools for experimental observations, however these models are treating curvature sensing and generation as separated phenomena. Here, we outline a model that applies both geometric and basic thermodynamic considerations. This model allows us to predict the consequences of recursive properties in such interaction schemes and thereby integrate the membrane as a dynamic substrate. We use this combined model to hypothesize the origin and properties of tubular carrier systems observed in cells. Furthermore, we pinpoint the coupling to a membrane reservoir as a factor that influences the membrane curvature sensing and generation properties of local curvatures in the cell in line with classic determinants such as lipid composition and membrane geometry",
keywords = "amphipathic helix, BAR domain, membrane curvature, curvature sensing, membrane scission, lipid packing defect, surface tension, GUV, liposomes",
author = "Madsen, {Kenneth Lindegaard} and Rasmus Herlo",
year = "2017",
doi = "10.3390/membranes7010006",
language = "English",
volume = "7",
journal = "Membranes",
issn = "2077-0375",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "1",

}

RIS

TY - JOUR

T1 - Recursive Alterations of the Relationship between Simple Membrane Geometry and Insertion of Amphiphilic Motifs

AU - Madsen, Kenneth Lindegaard

AU - Herlo, Rasmus

PY - 2017

Y1 - 2017

N2 - The shape and composition of a membrane directly regulate the localization, activity, and signaling properties of membrane associated proteins. Proteins that both sense and generate membrane curvature, e.g., through amphiphilic insertion motifs, potentially engage in recursive binding dynamics, where the recruitment of the protein itself changes the properties of the membrane substrate. Simple geometric models of membrane curvature interactions already provide prediction tools for experimental observations, however these models are treating curvature sensing and generation as separated phenomena. Here, we outline a model that applies both geometric and basic thermodynamic considerations. This model allows us to predict the consequences of recursive properties in such interaction schemes and thereby integrate the membrane as a dynamic substrate. We use this combined model to hypothesize the origin and properties of tubular carrier systems observed in cells. Furthermore, we pinpoint the coupling to a membrane reservoir as a factor that influences the membrane curvature sensing and generation properties of local curvatures in the cell in line with classic determinants such as lipid composition and membrane geometry

AB - The shape and composition of a membrane directly regulate the localization, activity, and signaling properties of membrane associated proteins. Proteins that both sense and generate membrane curvature, e.g., through amphiphilic insertion motifs, potentially engage in recursive binding dynamics, where the recruitment of the protein itself changes the properties of the membrane substrate. Simple geometric models of membrane curvature interactions already provide prediction tools for experimental observations, however these models are treating curvature sensing and generation as separated phenomena. Here, we outline a model that applies both geometric and basic thermodynamic considerations. This model allows us to predict the consequences of recursive properties in such interaction schemes and thereby integrate the membrane as a dynamic substrate. We use this combined model to hypothesize the origin and properties of tubular carrier systems observed in cells. Furthermore, we pinpoint the coupling to a membrane reservoir as a factor that influences the membrane curvature sensing and generation properties of local curvatures in the cell in line with classic determinants such as lipid composition and membrane geometry

KW - amphipathic helix

KW - BAR domain

KW - membrane curvature

KW - curvature sensing

KW - membrane scission

KW - lipid packing defect

KW - surface tension

KW - GUV

KW - liposomes

U2 - 10.3390/membranes7010006

DO - 10.3390/membranes7010006

M3 - Review

C2 - 28208740

VL - 7

JO - Membranes

JF - Membranes

SN - 2077-0375

IS - 1

M1 - 7010006

ER -

ID: 182544977