Cargando…

Module-based functional pathway enrichment analysis of a protein-protein interaction network to study the effects of intestinal microbiota depletion in mice

Complex communities of microorganisms play important roles in human health, and alterations in the intestinal microbiota may induce intestinal inflammation and numerous diseases. The purpose of this study was to identify the key genes and processes affected by depletion of the intestinal microbiota...

Descripción completa

Detalles Bibliográficos
Autores principales: JIA, ZHEN-YI, XIA, YANG, TONG, DANIAN, YAO, JING, CHEN, HONG-QI, YANG, JUN
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055453/
https://www.ncbi.nlm.nih.gov/pubmed/24718810
http://dx.doi.org/10.3892/mmr.2014.2137
_version_ 1782320664182521856
author JIA, ZHEN-YI
XIA, YANG
TONG, DANIAN
YAO, JING
CHEN, HONG-QI
YANG, JUN
author_facet JIA, ZHEN-YI
XIA, YANG
TONG, DANIAN
YAO, JING
CHEN, HONG-QI
YANG, JUN
author_sort JIA, ZHEN-YI
collection PubMed
description Complex communities of microorganisms play important roles in human health, and alterations in the intestinal microbiota may induce intestinal inflammation and numerous diseases. The purpose of this study was to identify the key genes and processes affected by depletion of the intestinal microbiota in a murine model. The Affymetrix microarray dataset GSE22648 was downloaded from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) were identified using the limma package in R. A protein-protein interaction (PPI) network was constructed for the DEGs using the Cytoscape software, and the network was divided into several modules using the MCODE plugin. Furthermore, the modules were functionally annotated using the PiNGO plugin, and DEG-related pathways were retrieved and analyzed using the GenMAPP software. A total of 53 DEGs were identified, of which 26 were upregulated and 27 were downregulated. The PPI network of these DEGs comprised 3 modules. The most significant module-related DEGs were the cytochrome P450 (CYP) 4B1 isozyme gene (CYP4B1) in module 1, CYP4F14 in module 2 and the tachykinin precursor 1 gene (TAC1) in module 3. The majority of enriched pathways of module 1 and 2 were oxidation reduction pathways (metabolism of xenobiotics by CYPs) and lipid metabolism-related pathways, including linoleic acid and arachidonic acid metabolism. The neuropeptide signaling pathway was the most significantly enriched functional pathway of module 3. In conclusion, our findings strongly suggest that intestinal microbiota depletion affects cellular metabolism and oxidation reduction pathways. In addition, this is the first time, to the best of our knowledge, that the neuropeptide signaling pathway is reported to be affected by intestinal microbiota depletion in mice. The present study provides a list of candidate genes and processes related to the interaction of microbiota with the intestinal tract.
format Online
Article
Text
id pubmed-4055453
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-40554532014-06-13 Module-based functional pathway enrichment analysis of a protein-protein interaction network to study the effects of intestinal microbiota depletion in mice JIA, ZHEN-YI XIA, YANG TONG, DANIAN YAO, JING CHEN, HONG-QI YANG, JUN Mol Med Rep Articles Complex communities of microorganisms play important roles in human health, and alterations in the intestinal microbiota may induce intestinal inflammation and numerous diseases. The purpose of this study was to identify the key genes and processes affected by depletion of the intestinal microbiota in a murine model. The Affymetrix microarray dataset GSE22648 was downloaded from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) were identified using the limma package in R. A protein-protein interaction (PPI) network was constructed for the DEGs using the Cytoscape software, and the network was divided into several modules using the MCODE plugin. Furthermore, the modules were functionally annotated using the PiNGO plugin, and DEG-related pathways were retrieved and analyzed using the GenMAPP software. A total of 53 DEGs were identified, of which 26 were upregulated and 27 were downregulated. The PPI network of these DEGs comprised 3 modules. The most significant module-related DEGs were the cytochrome P450 (CYP) 4B1 isozyme gene (CYP4B1) in module 1, CYP4F14 in module 2 and the tachykinin precursor 1 gene (TAC1) in module 3. The majority of enriched pathways of module 1 and 2 were oxidation reduction pathways (metabolism of xenobiotics by CYPs) and lipid metabolism-related pathways, including linoleic acid and arachidonic acid metabolism. The neuropeptide signaling pathway was the most significantly enriched functional pathway of module 3. In conclusion, our findings strongly suggest that intestinal microbiota depletion affects cellular metabolism and oxidation reduction pathways. In addition, this is the first time, to the best of our knowledge, that the neuropeptide signaling pathway is reported to be affected by intestinal microbiota depletion in mice. The present study provides a list of candidate genes and processes related to the interaction of microbiota with the intestinal tract. D.A. Spandidos 2014-06 2014-04-09 /pmc/articles/PMC4055453/ /pubmed/24718810 http://dx.doi.org/10.3892/mmr.2014.2137 Text en Copyright © 2014, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Articles
JIA, ZHEN-YI
XIA, YANG
TONG, DANIAN
YAO, JING
CHEN, HONG-QI
YANG, JUN
Module-based functional pathway enrichment analysis of a protein-protein interaction network to study the effects of intestinal microbiota depletion in mice
title Module-based functional pathway enrichment analysis of a protein-protein interaction network to study the effects of intestinal microbiota depletion in mice
title_full Module-based functional pathway enrichment analysis of a protein-protein interaction network to study the effects of intestinal microbiota depletion in mice
title_fullStr Module-based functional pathway enrichment analysis of a protein-protein interaction network to study the effects of intestinal microbiota depletion in mice
title_full_unstemmed Module-based functional pathway enrichment analysis of a protein-protein interaction network to study the effects of intestinal microbiota depletion in mice
title_short Module-based functional pathway enrichment analysis of a protein-protein interaction network to study the effects of intestinal microbiota depletion in mice
title_sort module-based functional pathway enrichment analysis of a protein-protein interaction network to study the effects of intestinal microbiota depletion in mice
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055453/
https://www.ncbi.nlm.nih.gov/pubmed/24718810
http://dx.doi.org/10.3892/mmr.2014.2137
work_keys_str_mv AT jiazhenyi modulebasedfunctionalpathwayenrichmentanalysisofaproteinproteininteractionnetworktostudytheeffectsofintestinalmicrobiotadepletioninmice
AT xiayang modulebasedfunctionalpathwayenrichmentanalysisofaproteinproteininteractionnetworktostudytheeffectsofintestinalmicrobiotadepletioninmice
AT tongdanian modulebasedfunctionalpathwayenrichmentanalysisofaproteinproteininteractionnetworktostudytheeffectsofintestinalmicrobiotadepletioninmice
AT yaojing modulebasedfunctionalpathwayenrichmentanalysisofaproteinproteininteractionnetworktostudytheeffectsofintestinalmicrobiotadepletioninmice
AT chenhongqi modulebasedfunctionalpathwayenrichmentanalysisofaproteinproteininteractionnetworktostudytheeffectsofintestinalmicrobiotadepletioninmice
AT yangjun modulebasedfunctionalpathwayenrichmentanalysisofaproteinproteininteractionnetworktostudytheeffectsofintestinalmicrobiotadepletioninmice