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Computational analysis of candidate prion-like proteins in bacteria and their role

Prion proteins were initially associated with diseases such as Creutzfeldt Jakob and transmissible spongiform encephalopathies. However, deeper research revealed them as versatile tools, exploited by the cells to execute fascinating functions, acting as epigenetic elements or building membrane free...

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Autores principales: Iglesias, Valentin, de Groot, Natalia S., Ventura, Salvador
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606120/
https://www.ncbi.nlm.nih.gov/pubmed/26528269
http://dx.doi.org/10.3389/fmicb.2015.01123
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author Iglesias, Valentin
de Groot, Natalia S.
Ventura, Salvador
author_facet Iglesias, Valentin
de Groot, Natalia S.
Ventura, Salvador
author_sort Iglesias, Valentin
collection PubMed
description Prion proteins were initially associated with diseases such as Creutzfeldt Jakob and transmissible spongiform encephalopathies. However, deeper research revealed them as versatile tools, exploited by the cells to execute fascinating functions, acting as epigenetic elements or building membrane free compartments in eukaryotes. One of the most intriguing properties of prion proteins is their ability to propagate a conformational assembly, even across species. In this context, it has been observed that bacterial amyloids can trigger the formation of protein aggregates by interacting with host proteins. As our life is closely linked to bacteria, either through a parasitic or symbiotic relationship, prion-like proteins produced by bacterial cells might play a role in this association. Bioinformatics is helping us to understand the factors that determine conformational conversion and infectivity in prion-like proteins. We have used PrionScan to detect prion domains in 839 different bacteria proteomes, detecting 2200 putative prions in these organisms. We studied this set of proteins in order to try to understand their functional role and structural properties. Our results suggest that these bacterial polypeptides are associated to peripheral rearrangement, macromolecular assembly, cell adaptability, and invasion. Overall, these data could reveal new threats and therapeutic targets associated to infectious diseases.
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spelling pubmed-46061202015-11-02 Computational analysis of candidate prion-like proteins in bacteria and their role Iglesias, Valentin de Groot, Natalia S. Ventura, Salvador Front Microbiol Microbiology Prion proteins were initially associated with diseases such as Creutzfeldt Jakob and transmissible spongiform encephalopathies. However, deeper research revealed them as versatile tools, exploited by the cells to execute fascinating functions, acting as epigenetic elements or building membrane free compartments in eukaryotes. One of the most intriguing properties of prion proteins is their ability to propagate a conformational assembly, even across species. In this context, it has been observed that bacterial amyloids can trigger the formation of protein aggregates by interacting with host proteins. As our life is closely linked to bacteria, either through a parasitic or symbiotic relationship, prion-like proteins produced by bacterial cells might play a role in this association. Bioinformatics is helping us to understand the factors that determine conformational conversion and infectivity in prion-like proteins. We have used PrionScan to detect prion domains in 839 different bacteria proteomes, detecting 2200 putative prions in these organisms. We studied this set of proteins in order to try to understand their functional role and structural properties. Our results suggest that these bacterial polypeptides are associated to peripheral rearrangement, macromolecular assembly, cell adaptability, and invasion. Overall, these data could reveal new threats and therapeutic targets associated to infectious diseases. Frontiers Media S.A. 2015-10-15 /pmc/articles/PMC4606120/ /pubmed/26528269 http://dx.doi.org/10.3389/fmicb.2015.01123 Text en Copyright © 2015 Iglesias, de Groot and Ventura. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Iglesias, Valentin
de Groot, Natalia S.
Ventura, Salvador
Computational analysis of candidate prion-like proteins in bacteria and their role
title Computational analysis of candidate prion-like proteins in bacteria and their role
title_full Computational analysis of candidate prion-like proteins in bacteria and their role
title_fullStr Computational analysis of candidate prion-like proteins in bacteria and their role
title_full_unstemmed Computational analysis of candidate prion-like proteins in bacteria and their role
title_short Computational analysis of candidate prion-like proteins in bacteria and their role
title_sort computational analysis of candidate prion-like proteins in bacteria and their role
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606120/
https://www.ncbi.nlm.nih.gov/pubmed/26528269
http://dx.doi.org/10.3389/fmicb.2015.01123
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