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Int J Genomics. 2014;2014:837365. doi: 10.1155/2014/837365. Epub 2014 Jul 09.

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

International journal of genomics

Ahmad Firoz, Adeel Malik, Sanjay Kumar Singh, Vivekanand Jha, Amjad Ali

Affiliations

  1. School of Chemistry and Biochemistry, Thapar University, Patiala, Punjab 147004, India ; Biomedical Informatics Center of ICMR, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India.
  2. School of Biotechnology, Yeungnam University, 280 Daehak-ro, Gyeongsan, Gyeongbuk 712-749, Republic of Korea.
  3. Biomedical Informatics Center of ICMR, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India ; Department of Biotechnology, Thapar University, Patiala, Punjab 147004, India.
  4. Biomedical Informatics Center of ICMR, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India ; Department of Nephrology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, India.
  5. School of Chemistry and Biochemistry, Thapar University, Patiala, Punjab 147004, India.

PMID: 25121089 PMCID: PMC4121153 DOI: 10.1155/2014/837365

Abstract

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.

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