Cargando…

Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data

Glycogenes regulate a wide array of biological processes in the development of organisms as well as different diseases such as cancer, primary open-angle glaucoma, and renal dysfunction. The objective of this study was to explore the role of differentially expressed glycogenes (DEGGs) in three major...

Descripción completa

Detalles Bibliográficos
Autores principales: Firoz, Ahmad, Malik, Adeel, Singh, Sanjay Kumar, Jha, Vivekanand, Ali, Amjad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121153/
https://www.ncbi.nlm.nih.gov/pubmed/25121089
http://dx.doi.org/10.1155/2014/837365
_version_ 1782329180664365056
author Firoz, Ahmad
Malik, Adeel
Singh, Sanjay Kumar
Jha, Vivekanand
Ali, Amjad
author_facet Firoz, Ahmad
Malik, Adeel
Singh, Sanjay Kumar
Jha, Vivekanand
Ali, Amjad
author_sort Firoz, Ahmad
collection PubMed
description Glycogenes regulate a wide array of biological processes in the development of organisms as well as different diseases such as cancer, primary open-angle glaucoma, and renal dysfunction. The objective of this study was to explore the role of differentially expressed glycogenes (DEGGs) in three major tissues such as brain, muscle, and liver using mouse RNA-seq data, and we identified 579, 501, and 442 DEGGs for brain versus liver (BvL579), brain versus muscle (BvM501), and liver versus muscle (LvM442) groups. DAVID functional analysis suggested inflammatory response, glycosaminoglycan metabolic process, and protein maturation as the enriched biological processes in BvL579, BvM501, and LvM442, respectively. These DEGGs were then used to construct three interaction networks by using GeneMANIA, from which we detected potential hub genes such as PEMT and HPXN (BvL579), IGF2 and NID2 (BvM501), and STAT6 and FLT1 (LvM442), having the highest degree. Additionally, our community analysis results suggest that the significance of immune system related processes in liver, glycosphingolipid metabolic processes in the development of brain, and the processes such as cell proliferation, adhesion, and growth are important for muscle development. Further studies are required to confirm the role of predicted hub genes as well as the significance of biological processes.
format Online
Article
Text
id pubmed-4121153
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-41211532014-08-12 Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data Firoz, Ahmad Malik, Adeel Singh, Sanjay Kumar Jha, Vivekanand Ali, Amjad Int J Genomics Research Article Glycogenes regulate a wide array of biological processes in the development of organisms as well as different diseases such as cancer, primary open-angle glaucoma, and renal dysfunction. The objective of this study was to explore the role of differentially expressed glycogenes (DEGGs) in three major tissues such as brain, muscle, and liver using mouse RNA-seq data, and we identified 579, 501, and 442 DEGGs for brain versus liver (BvL579), brain versus muscle (BvM501), and liver versus muscle (LvM442) groups. DAVID functional analysis suggested inflammatory response, glycosaminoglycan metabolic process, and protein maturation as the enriched biological processes in BvL579, BvM501, and LvM442, respectively. These DEGGs were then used to construct three interaction networks by using GeneMANIA, from which we detected potential hub genes such as PEMT and HPXN (BvL579), IGF2 and NID2 (BvM501), and STAT6 and FLT1 (LvM442), having the highest degree. Additionally, our community analysis results suggest that the significance of immune system related processes in liver, glycosphingolipid metabolic processes in the development of brain, and the processes such as cell proliferation, adhesion, and growth are important for muscle development. Further studies are required to confirm the role of predicted hub genes as well as the significance of biological processes. Hindawi Publishing Corporation 2014 2014-07-09 /pmc/articles/PMC4121153/ /pubmed/25121089 http://dx.doi.org/10.1155/2014/837365 Text en Copyright © 2014 Ahmad Firoz et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Firoz, Ahmad
Malik, Adeel
Singh, Sanjay Kumar
Jha, Vivekanand
Ali, Amjad
Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data
title Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data
title_full Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data
title_fullStr Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data
title_full_unstemmed Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data
title_short Comparative Analysis of Glycogene Expression in Different Mouse Tissues Using RNA-Seq Data
title_sort comparative analysis of glycogene expression in different mouse tissues using rna-seq data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121153/
https://www.ncbi.nlm.nih.gov/pubmed/25121089
http://dx.doi.org/10.1155/2014/837365
work_keys_str_mv AT firozahmad comparativeanalysisofglycogeneexpressionindifferentmousetissuesusingrnaseqdata
AT malikadeel comparativeanalysisofglycogeneexpressionindifferentmousetissuesusingrnaseqdata
AT singhsanjaykumar comparativeanalysisofglycogeneexpressionindifferentmousetissuesusingrnaseqdata
AT jhavivekanand comparativeanalysisofglycogeneexpressionindifferentmousetissuesusingrnaseqdata
AT aliamjad comparativeanalysisofglycogeneexpressionindifferentmousetissuesusingrnaseqdata