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Potential Candidate Genes for Alveolar Hypoxia Identified by Transcriptome Network Analysis

Department of Cardiovascular Diseases, Changhai Hospital, Second Military Medical University, Shanghai, China
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Author to whom correspondence should be addressed.
Medicina 2012, 48(11), 84; https://doi.org/10.3390/medicina48110084
Received: 20 June 2011 / Accepted: 5 December 2012 / Published: 10 December 2012
Background. Alveolar hypoxia is an important condition related to many disorders such as chronic pulmonary hypertension, pulmonary vasoconstriction, and pulmonary vascular remodeling. The aim of present study was to disclose the biological response and the potential transcriptome networks regulating the hypoxia response in the lungs.
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.
Keywords: alveolar hypoxia; regulatory network; transcriptome network analysis alveolar hypoxia; regulatory network; transcriptome network analysis
MDPI and ACS Style

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.

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