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Network analysis reveals crosstalk between autophagy genes and disease genes
Autophagy is a protective and life-sustaining process in which cytoplasmic components are packaged into double-membrane vesicles and targeted to lysosomes for degradation. Accumulating evidence supports that autophagy is associated with several pathological conditions. However, research on the funct...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353691/ https://www.ncbi.nlm.nih.gov/pubmed/28295050 http://dx.doi.org/10.1038/srep44391 |
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author | Wang, Ji-Ye Yao, Wei-Xuan Wang, Yun Fan, Yi-lei Wu, Jian-Bing |
author_facet | Wang, Ji-Ye Yao, Wei-Xuan Wang, Yun Fan, Yi-lei Wu, Jian-Bing |
author_sort | Wang, Ji-Ye |
collection | PubMed |
description | Autophagy is a protective and life-sustaining process in which cytoplasmic components are packaged into double-membrane vesicles and targeted to lysosomes for degradation. Accumulating evidence supports that autophagy is associated with several pathological conditions. However, research on the functional cross-links between autophagy and disease genes remains in its early stages. In this study, we constructed a disease-autophagy network (DAN) by integrating known disease genes, known autophagy genes and protein-protein interactions (PPI). Dissecting the topological properties of the DAN suggested that nodes that both autophagy and disease genes (inter-genes), are topologically important in the DAN structure. Next, a core network from the DAN was extracted to analyze the functional links between disease and autophagy genes. The genes in the core network were significantly enriched in multiple disease-related pathways, suggesting that autophagy genes may function in various disease processes. Of 17 disease classes, 11 significantly overlapped with autophagy genes, including cancer diseases, metabolic diseases and hematological diseases, a finding that is supported by the literatures. We also found that autophagy genes have a bridging role in the connections between pairs of disease classes. Altogether, our study provides a better understanding of the molecular mechanisms underlying human diseases and the autophagy process. |
format | Online Article Text |
id | pubmed-5353691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53536912017-03-20 Network analysis reveals crosstalk between autophagy genes and disease genes Wang, Ji-Ye Yao, Wei-Xuan Wang, Yun Fan, Yi-lei Wu, Jian-Bing Sci Rep Article Autophagy is a protective and life-sustaining process in which cytoplasmic components are packaged into double-membrane vesicles and targeted to lysosomes for degradation. Accumulating evidence supports that autophagy is associated with several pathological conditions. However, research on the functional cross-links between autophagy and disease genes remains in its early stages. In this study, we constructed a disease-autophagy network (DAN) by integrating known disease genes, known autophagy genes and protein-protein interactions (PPI). Dissecting the topological properties of the DAN suggested that nodes that both autophagy and disease genes (inter-genes), are topologically important in the DAN structure. Next, a core network from the DAN was extracted to analyze the functional links between disease and autophagy genes. The genes in the core network were significantly enriched in multiple disease-related pathways, suggesting that autophagy genes may function in various disease processes. Of 17 disease classes, 11 significantly overlapped with autophagy genes, including cancer diseases, metabolic diseases and hematological diseases, a finding that is supported by the literatures. We also found that autophagy genes have a bridging role in the connections between pairs of disease classes. Altogether, our study provides a better understanding of the molecular mechanisms underlying human diseases and the autophagy process. Nature Publishing Group 2017-03-15 /pmc/articles/PMC5353691/ /pubmed/28295050 http://dx.doi.org/10.1038/srep44391 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 Wang, Ji-Ye Yao, Wei-Xuan Wang, Yun Fan, Yi-lei Wu, Jian-Bing Network analysis reveals crosstalk between autophagy genes and disease genes |
title | Network analysis reveals crosstalk between autophagy genes and disease genes |
title_full | Network analysis reveals crosstalk between autophagy genes and disease genes |
title_fullStr | Network analysis reveals crosstalk between autophagy genes and disease genes |
title_full_unstemmed | Network analysis reveals crosstalk between autophagy genes and disease genes |
title_short | Network analysis reveals crosstalk between autophagy genes and disease genes |
title_sort | network analysis reveals crosstalk between autophagy genes and disease genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353691/ https://www.ncbi.nlm.nih.gov/pubmed/28295050 http://dx.doi.org/10.1038/srep44391 |
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