Cargando…

Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins

In this work, we used a combination of fluorescence correlation spectroscopy (FCS) and molecular dynamics (MD) simulation methodologies to acquire structural information on pH-induced unfolding of the maltotriose-binding protein from Thermus thermophilus (MalE2). FCS has emerged as a powerful techni...

Descripción completa

Detalles Bibliográficos
Autores principales: Varriale, Antonio, Marabotti, Anna, Mei, Giampiero, Staiano, Maria, D’Auria, Sabato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672191/
https://www.ncbi.nlm.nih.gov/pubmed/23750215
http://dx.doi.org/10.1371/journal.pone.0064840
_version_ 1782272090559217664
author Varriale, Antonio
Marabotti, Anna
Mei, Giampiero
Staiano, Maria
D’Auria, Sabato
author_facet Varriale, Antonio
Marabotti, Anna
Mei, Giampiero
Staiano, Maria
D’Auria, Sabato
author_sort Varriale, Antonio
collection PubMed
description In this work, we used a combination of fluorescence correlation spectroscopy (FCS) and molecular dynamics (MD) simulation methodologies to acquire structural information on pH-induced unfolding of the maltotriose-binding protein from Thermus thermophilus (MalE2). FCS has emerged as a powerful technique for characterizing the dynamics of molecules and it is, in fact, used to study molecular diffusion on timescale of microsecond and longer. Our results showed that keeping temperature constant, the protein diffusion coefficient decreased from 84±4 µm(2)/s to 44±3 µm(2)/s when pH was changed from 7.0 to 4.0. An even more marked decrease of the MalE2 diffusion coefficient (31±3 µm(2)/s) was registered when pH was raised from 7.0 to 10.0. According to the size of MalE2 (a monomeric protein with a molecular weight of 43 kDa) as well as of its globular native shape, the values of 44 µm(2)/s and 31 µm(2)/s could be ascribed to deformations of the protein structure, which enhances its propensity to form aggregates at extreme pH values. The obtained fluorescence correlation data, corroborated by circular dichroism, fluorescence emission and light-scattering experiments, are discussed together with the MD simulations results.
format Online
Article
Text
id pubmed-3672191
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-36721912013-06-07 Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins Varriale, Antonio Marabotti, Anna Mei, Giampiero Staiano, Maria D’Auria, Sabato PLoS One Research Article In this work, we used a combination of fluorescence correlation spectroscopy (FCS) and molecular dynamics (MD) simulation methodologies to acquire structural information on pH-induced unfolding of the maltotriose-binding protein from Thermus thermophilus (MalE2). FCS has emerged as a powerful technique for characterizing the dynamics of molecules and it is, in fact, used to study molecular diffusion on timescale of microsecond and longer. Our results showed that keeping temperature constant, the protein diffusion coefficient decreased from 84±4 µm(2)/s to 44±3 µm(2)/s when pH was changed from 7.0 to 4.0. An even more marked decrease of the MalE2 diffusion coefficient (31±3 µm(2)/s) was registered when pH was raised from 7.0 to 10.0. According to the size of MalE2 (a monomeric protein with a molecular weight of 43 kDa) as well as of its globular native shape, the values of 44 µm(2)/s and 31 µm(2)/s could be ascribed to deformations of the protein structure, which enhances its propensity to form aggregates at extreme pH values. The obtained fluorescence correlation data, corroborated by circular dichroism, fluorescence emission and light-scattering experiments, are discussed together with the MD simulations results. Public Library of Science 2013-06-04 /pmc/articles/PMC3672191/ /pubmed/23750215 http://dx.doi.org/10.1371/journal.pone.0064840 Text en © 2013 Varriale et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Varriale, Antonio
Marabotti, Anna
Mei, Giampiero
Staiano, Maria
D’Auria, Sabato
Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins
title Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins
title_full Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins
title_fullStr Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins
title_full_unstemmed Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins
title_short Correlation Spectroscopy and Molecular Dynamics Simulations to Study the Structural Features of Proteins
title_sort correlation spectroscopy and molecular dynamics simulations to study the structural features of proteins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672191/
https://www.ncbi.nlm.nih.gov/pubmed/23750215
http://dx.doi.org/10.1371/journal.pone.0064840
work_keys_str_mv AT varrialeantonio correlationspectroscopyandmoleculardynamicssimulationstostudythestructuralfeaturesofproteins
AT marabottianna correlationspectroscopyandmoleculardynamicssimulationstostudythestructuralfeaturesofproteins
AT meigiampiero correlationspectroscopyandmoleculardynamicssimulationstostudythestructuralfeaturesofproteins
AT staianomaria correlationspectroscopyandmoleculardynamicssimulationstostudythestructuralfeaturesofproteins
AT dauriasabato correlationspectroscopyandmoleculardynamicssimulationstostudythestructuralfeaturesofproteins