Structural and dynamical insights into the membrane-bound α-synuclein.

Membrane-induced disorder-to-helix transition of α-synuclein, a presynaptic protein, has been implicated in a number of important neuronal functions as well as in the etiology of Parkinson's disease. In order to obtain structural insights of membrane-bound α-synuclein at the residue-specific re...

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Main Authors: Neha Jain, Karishma Bhasne, M Hemaswasthi, Samrat Mukhopadhyay
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3869795?pdf=render
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spelling doaj-04602396618c4e959dabdc64447754022020-11-24T21:51:08ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01812e8375210.1371/journal.pone.0083752Structural and dynamical insights into the membrane-bound α-synuclein.Neha JainKarishma BhasneM HemaswasthiSamrat MukhopadhyayMembrane-induced disorder-to-helix transition of α-synuclein, a presynaptic protein, has been implicated in a number of important neuronal functions as well as in the etiology of Parkinson's disease. In order to obtain structural insights of membrane-bound α-synuclein at the residue-specific resolution, we took advantage of the fact that the protein is devoid of tryptophan and incorporated single tryptophan at various residue positions along the sequence. These tryptophans were used as site-specific markers to characterize the structural and dynamical aspects of α-synuclein on the negatively charged small unilamellar lipid vesicles. An array of site-specific fluorescence readouts, such as the spectral-shift, quenching efficiency and anisotropy, allowed us to discern various features of the conformational rearrangements occurring at different locations of α-synuclein on the lipid membrane. In order to define the spatial localization of various regions of the protein near the membrane surface, we utilized a unique and sensitive indicator, namely, red-edge excitation shift (REES), which originates when a fluorophore is located in a highly ordered micro-environment. The extent of REES observed at different residue positions allowed us to directly identify the residues that are localized at the membrane-water interface comprising a thin (∼ 15 Å) layer of motionally restrained water molecules and enabled us to construct a dynamic hydration map of the protein. The combination of site-specific fluorescence readouts allowed us to unravel the intriguing molecular details of α-synuclein on the lipid membrane in a direct model-free fashion. Additionally, the combination of methodologies described here are capable of distinguishing subtle but important structural alterations of α-synuclein bound to different negatively charged lipids with varied head-group chemistry. We believe that the structural modulations of α-synuclein on the membrane could potentially be related to its physiological functions as well as to the onset of Parkinson's diseases.http://europepmc.org/articles/PMC3869795?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Neha Jain
Karishma Bhasne
M Hemaswasthi
Samrat Mukhopadhyay
spellingShingle Neha Jain
Karishma Bhasne
M Hemaswasthi
Samrat Mukhopadhyay
Structural and dynamical insights into the membrane-bound α-synuclein.
PLoS ONE
author_facet Neha Jain
Karishma Bhasne
M Hemaswasthi
Samrat Mukhopadhyay
author_sort Neha Jain
title Structural and dynamical insights into the membrane-bound α-synuclein.
title_short Structural and dynamical insights into the membrane-bound α-synuclein.
title_full Structural and dynamical insights into the membrane-bound α-synuclein.
title_fullStr Structural and dynamical insights into the membrane-bound α-synuclein.
title_full_unstemmed Structural and dynamical insights into the membrane-bound α-synuclein.
title_sort structural and dynamical insights into the membrane-bound α-synuclein.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description Membrane-induced disorder-to-helix transition of α-synuclein, a presynaptic protein, has been implicated in a number of important neuronal functions as well as in the etiology of Parkinson's disease. In order to obtain structural insights of membrane-bound α-synuclein at the residue-specific resolution, we took advantage of the fact that the protein is devoid of tryptophan and incorporated single tryptophan at various residue positions along the sequence. These tryptophans were used as site-specific markers to characterize the structural and dynamical aspects of α-synuclein on the negatively charged small unilamellar lipid vesicles. An array of site-specific fluorescence readouts, such as the spectral-shift, quenching efficiency and anisotropy, allowed us to discern various features of the conformational rearrangements occurring at different locations of α-synuclein on the lipid membrane. In order to define the spatial localization of various regions of the protein near the membrane surface, we utilized a unique and sensitive indicator, namely, red-edge excitation shift (REES), which originates when a fluorophore is located in a highly ordered micro-environment. The extent of REES observed at different residue positions allowed us to directly identify the residues that are localized at the membrane-water interface comprising a thin (∼ 15 Å) layer of motionally restrained water molecules and enabled us to construct a dynamic hydration map of the protein. The combination of site-specific fluorescence readouts allowed us to unravel the intriguing molecular details of α-synuclein on the lipid membrane in a direct model-free fashion. Additionally, the combination of methodologies described here are capable of distinguishing subtle but important structural alterations of α-synuclein bound to different negatively charged lipids with varied head-group chemistry. We believe that the structural modulations of α-synuclein on the membrane could potentially be related to its physiological functions as well as to the onset of Parkinson's diseases.
url http://europepmc.org/articles/PMC3869795?pdf=render
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