Potential Candidate Genes for Alveolar Hypoxia Identified by Transcriptome Network Analysis
Abstract
Materials and Methods. In this study, the microarray dataset GSE11341 was used to construct a regulatory network and identify the potential genes related to alveolar hypoxia. In addition, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) term enrichment analyses were also performed.
Results. Hypoxia inducible factor 1 alpha (HIF-1α), peroxisome proliferator-activated receptor gamma (PPARγ), and nuclear factor of kappa light polypeptide gene enhancer in B cells (NF-кB) were to be the hub nodes in the transcriptome network. HIF-1α may regulate potassium voltagegated channel, shaker-related subfamily, member (5KCNA5), solute carrier family 2 (facilitated glucose transporter), member (1SLC2A1), and heme oxygenase (decycling) 1 (HMOX1) expression through the regulation of membrane potential, glucose metabolism, and anti-inflammation pathways. HMOX-1 mediates signaling pathways that relate to NF-кB. CCND1 (cyclin D1) expression could be regulated by PPARγ and HIF-1α via the cell cycle pathway. In addition, new transcriptional factors and target genes, such as phosphofructokinase (PFKL, liver), aldolase A (ALDOA, fructose-bisphosphate), and trefoil factor 3 (intestinal) (TFF3), were also identified.
Conclusions. Transcriptome network analysis is a helpful method for the identification of the candidate genes in alveolar hypoxia. The KEGG pathway and GO term analysis are beneficial in the prediction of the underlying molecular mechanism of these identified genes in alveolar hypoxia.
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Zhang, B.-l.; Xu, R.-l.; Qin, Y.-w.; Zheng, X.; Wu, H.; You, X.-h.; Cao, J.; Hu, J.-q.; Zhao, X.-x. Potential Candidate Genes for Alveolar Hypoxia Identified by Transcriptome Network Analysis. Medicina 2012, 48, 84. https://doi.org/10.3390/medicina48110084
Zhang B-l, Xu R-l, Qin Y-w, Zheng X, Wu H, You X-h, Cao J, Hu J-q, Zhao X-x. Potential Candidate Genes for Alveolar Hypoxia Identified by Transcriptome Network Analysis. Medicina. 2012; 48(11):84. https://doi.org/10.3390/medicina48110084
Chicago/Turabian StyleZhang, Bi-li, Rong-liang Xu, Yong-wen Qin, Xing Zheng, Hong Wu, Xiao-hua You, Jiang Cao, Jian-qiang Hu, and Xian-xian Zhao. 2012. "Potential Candidate Genes for Alveolar Hypoxia Identified by Transcriptome Network Analysis" Medicina 48, no. 11: 84. https://doi.org/10.3390/medicina48110084