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The autophagy interaction network of the aging model Podospora anserina

BACKGROUND: Autophagy is a conserved molecular pathway involved in the degradation and recycling of cellular components. It is active either as response to starvation or molecular damage. Evidence is emerging that autophagy plays a key role in the degradation of damaged cellular components and there...

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Autores principales: Philipp, Oliver, Hamann, Andrea, Osiewacz, Heinz D., Koch, Ina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369006/
https://www.ncbi.nlm.nih.gov/pubmed/28347269
http://dx.doi.org/10.1186/s12859-017-1603-2
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author Philipp, Oliver
Hamann, Andrea
Osiewacz, Heinz D.
Koch, Ina
author_facet Philipp, Oliver
Hamann, Andrea
Osiewacz, Heinz D.
Koch, Ina
author_sort Philipp, Oliver
collection PubMed
description BACKGROUND: Autophagy is a conserved molecular pathway involved in the degradation and recycling of cellular components. It is active either as response to starvation or molecular damage. Evidence is emerging that autophagy plays a key role in the degradation of damaged cellular components and thereby affects aging and lifespan control. In earlier studies, it was found that autophagy in the aging model Podospora anserina acts as a longevity assurance mechanism. However, only little is known about the individual components controlling autophagy in this aging model. Here, we report a biochemical and bioinformatics study to detect the protein-protein interaction (PPI) network of P. anserina combining experimental and theoretical methods. RESULTS: We constructed the PPI network of autophagy in P. anserina based on the corresponding networks of yeast and human. We integrated PaATG8 interaction partners identified in an own yeast two-hybrid analysis using ATG8 of P. anserina as bait. Additionally, we included age-dependent transcriptome data. The resulting network consists of 89 proteins involved in 186 interactions. We applied bioinformatics approaches to analyze the network topology and to prove that the network is not random, but exhibits biologically meaningful properties. We identified hub proteins which play an essential role in the network as well as seven putative sub-pathways, and interactions which are likely to be evolutionary conserved amongst species. We confirmed that autophagy-associated genes are significantly often up-regulated and co-expressed during aging of P. anserina. CONCLUSIONS: With the present study, we provide a comprehensive biological network of the autophagy pathway in P. anserina comprising PPI and gene expression data. It is based on computational prediction as well as experimental data. We identified sub-pathways, important hub proteins, and evolutionary conserved interactions. The network clearly illustrates the relation of autophagy to aging processes and enables further specific studies to understand autophagy and aging in P. anserina as well as in other systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1603-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-53690062017-03-30 The autophagy interaction network of the aging model Podospora anserina Philipp, Oliver Hamann, Andrea Osiewacz, Heinz D. Koch, Ina BMC Bioinformatics Research Article BACKGROUND: Autophagy is a conserved molecular pathway involved in the degradation and recycling of cellular components. It is active either as response to starvation or molecular damage. Evidence is emerging that autophagy plays a key role in the degradation of damaged cellular components and thereby affects aging and lifespan control. In earlier studies, it was found that autophagy in the aging model Podospora anserina acts as a longevity assurance mechanism. However, only little is known about the individual components controlling autophagy in this aging model. Here, we report a biochemical and bioinformatics study to detect the protein-protein interaction (PPI) network of P. anserina combining experimental and theoretical methods. RESULTS: We constructed the PPI network of autophagy in P. anserina based on the corresponding networks of yeast and human. We integrated PaATG8 interaction partners identified in an own yeast two-hybrid analysis using ATG8 of P. anserina as bait. Additionally, we included age-dependent transcriptome data. The resulting network consists of 89 proteins involved in 186 interactions. We applied bioinformatics approaches to analyze the network topology and to prove that the network is not random, but exhibits biologically meaningful properties. We identified hub proteins which play an essential role in the network as well as seven putative sub-pathways, and interactions which are likely to be evolutionary conserved amongst species. We confirmed that autophagy-associated genes are significantly often up-regulated and co-expressed during aging of P. anserina. CONCLUSIONS: With the present study, we provide a comprehensive biological network of the autophagy pathway in P. anserina comprising PPI and gene expression data. It is based on computational prediction as well as experimental data. We identified sub-pathways, important hub proteins, and evolutionary conserved interactions. The network clearly illustrates the relation of autophagy to aging processes and enables further specific studies to understand autophagy and aging in P. anserina as well as in other systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1603-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-27 /pmc/articles/PMC5369006/ /pubmed/28347269 http://dx.doi.org/10.1186/s12859-017-1603-2 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Philipp, Oliver
Hamann, Andrea
Osiewacz, Heinz D.
Koch, Ina
The autophagy interaction network of the aging model Podospora anserina
title The autophagy interaction network of the aging model Podospora anserina
title_full The autophagy interaction network of the aging model Podospora anserina
title_fullStr The autophagy interaction network of the aging model Podospora anserina
title_full_unstemmed The autophagy interaction network of the aging model Podospora anserina
title_short The autophagy interaction network of the aging model Podospora anserina
title_sort autophagy interaction network of the aging model podospora anserina
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369006/
https://www.ncbi.nlm.nih.gov/pubmed/28347269
http://dx.doi.org/10.1186/s12859-017-1603-2
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