Literature DB >> 24446288

Identification and functional analysis of differentially expressed genes related to obesity using DNA microarray.

J Y Du1, H Yang1, D R Tian2, Q M Wang1, L He1.   

Abstract

We looked for differentially expressed genes at different stages of preadipocyte differentiation and examined their functions, based on DNA microarrays of preadipocytes obtained from healthy subjects undergoing cosmetic liposuction. We downloaded gene expression profile GSE25910 from the Gene Expression Omnibus database and identified the differentially expressed genes with packages in R language. The selected differentially expressed genes were further analyzed using bioinformatics methods. Comparing gene expression at different stages of preadipocytes differentiation, we found that expression of 668 and 1007 genes were altered in middle and late stages compared with the early stage, respectively. Function analysis revealed that the differentially expressed genes were mainly related to fatty acid metabolic processes in the former two stages.

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Year:  2014        PMID: 24446288     DOI: 10.4238/2014.January.8.5

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  4 in total

1.  Microarray expression profiles of genes in lung tissues of rats subjected to focal cerebral ischemia-induced lung injury following bone marrow-derived mesenchymal stem cell transplantation.

Authors:  Yue Hu; Liu-Lin Xiong; Piao Zhang; Ting-Hua Wang
Journal:  Int J Mol Med       Date:  2016-12-06       Impact factor: 4.101

2.  Identification of pathogenic genes and upstream regulators in age-related macular degeneration.

Authors:  Bin Zhao; Mengya Wang; Jing Xu; Min Li; Yuhui Yu
Journal:  BMC Ophthalmol       Date:  2017-06-26       Impact factor: 2.209

3.  Identification of key genes and upstream regulators in ischemic stroke.

Authors:  Qian Zhang; Wenjie Chen; Siqia Chen; Shunxian Li; Duncan Wei; Wenzhen He
Journal:  Brain Behav       Date:  2019-06-06       Impact factor: 2.708

4.  A two-way rectification method for identifying differentially expressed genes by maximizing the co-function relationship.

Authors:  Bolin Chen; Li Gao; Xuequn Shang
Journal:  BMC Genomics       Date:  2021-06-25       Impact factor: 3.969

  4 in total

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