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Identification of Extracellular Segments by Mass Spectrometry Improves Topology Prediction of Transmembrane Proteins

Transmembrane proteins play crucial role in signaling, ion transport, nutrient uptake, as well as in maintaining the dynamic equilibrium between the internal and external environment of cells. Despite their important biological functions and abundance, less than 2% of all determined structures are t...

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Autores principales: Langó, Tamás, Róna, Gergely, Hunyadi-Gulyás, Éva, Turiák, Lilla, Varga, Julia, Dobson, László, Várady, György, Drahos, László, Vértessy, Beáta G., Medzihradszky, Katalin F., Szakács, Gergely, Tusnády, Gábor E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5304180/
https://www.ncbi.nlm.nih.gov/pubmed/28211907
http://dx.doi.org/10.1038/srep42610
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author Langó, Tamás
Róna, Gergely
Hunyadi-Gulyás, Éva
Turiák, Lilla
Varga, Julia
Dobson, László
Várady, György
Drahos, László
Vértessy, Beáta G.
Medzihradszky, Katalin F.
Szakács, Gergely
Tusnády, Gábor E.
author_facet Langó, Tamás
Róna, Gergely
Hunyadi-Gulyás, Éva
Turiák, Lilla
Varga, Julia
Dobson, László
Várady, György
Drahos, László
Vértessy, Beáta G.
Medzihradszky, Katalin F.
Szakács, Gergely
Tusnády, Gábor E.
author_sort Langó, Tamás
collection PubMed
description Transmembrane proteins play crucial role in signaling, ion transport, nutrient uptake, as well as in maintaining the dynamic equilibrium between the internal and external environment of cells. Despite their important biological functions and abundance, less than 2% of all determined structures are transmembrane proteins. Given the persisting technical difficulties associated with high resolution structure determination of transmembrane proteins, additional methods, including computational and experimental techniques remain vital in promoting our understanding of their topologies, 3D structures, functions and interactions. Here we report a method for the high-throughput determination of extracellular segments of transmembrane proteins based on the identification of surface labeled and biotin captured peptide fragments by LC/MS/MS. We show that reliable identification of extracellular protein segments increases the accuracy and reliability of existing topology prediction algorithms. Using the experimental topology data as constraints, our improved prediction tool provides accurate and reliable topology models for hundreds of human transmembrane proteins.
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spelling pubmed-53041802017-03-14 Identification of Extracellular Segments by Mass Spectrometry Improves Topology Prediction of Transmembrane Proteins Langó, Tamás Róna, Gergely Hunyadi-Gulyás, Éva Turiák, Lilla Varga, Julia Dobson, László Várady, György Drahos, László Vértessy, Beáta G. Medzihradszky, Katalin F. Szakács, Gergely Tusnády, Gábor E. Sci Rep Article Transmembrane proteins play crucial role in signaling, ion transport, nutrient uptake, as well as in maintaining the dynamic equilibrium between the internal and external environment of cells. Despite their important biological functions and abundance, less than 2% of all determined structures are transmembrane proteins. Given the persisting technical difficulties associated with high resolution structure determination of transmembrane proteins, additional methods, including computational and experimental techniques remain vital in promoting our understanding of their topologies, 3D structures, functions and interactions. Here we report a method for the high-throughput determination of extracellular segments of transmembrane proteins based on the identification of surface labeled and biotin captured peptide fragments by LC/MS/MS. We show that reliable identification of extracellular protein segments increases the accuracy and reliability of existing topology prediction algorithms. Using the experimental topology data as constraints, our improved prediction tool provides accurate and reliable topology models for hundreds of human transmembrane proteins. Nature Publishing Group 2017-02-13 /pmc/articles/PMC5304180/ /pubmed/28211907 http://dx.doi.org/10.1038/srep42610 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Langó, Tamás
Róna, Gergely
Hunyadi-Gulyás, Éva
Turiák, Lilla
Varga, Julia
Dobson, László
Várady, György
Drahos, László
Vértessy, Beáta G.
Medzihradszky, Katalin F.
Szakács, Gergely
Tusnády, Gábor E.
Identification of Extracellular Segments by Mass Spectrometry Improves Topology Prediction of Transmembrane Proteins
title Identification of Extracellular Segments by Mass Spectrometry Improves Topology Prediction of Transmembrane Proteins
title_full Identification of Extracellular Segments by Mass Spectrometry Improves Topology Prediction of Transmembrane Proteins
title_fullStr Identification of Extracellular Segments by Mass Spectrometry Improves Topology Prediction of Transmembrane Proteins
title_full_unstemmed Identification of Extracellular Segments by Mass Spectrometry Improves Topology Prediction of Transmembrane Proteins
title_short Identification of Extracellular Segments by Mass Spectrometry Improves Topology Prediction of Transmembrane Proteins
title_sort identification of extracellular segments by mass spectrometry improves topology prediction of transmembrane proteins
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5304180/
https://www.ncbi.nlm.nih.gov/pubmed/28211907
http://dx.doi.org/10.1038/srep42610
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