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This article is part of the supplement: Selected articles from the 4th International Conference on Computational Systems Biology (ISB 2010)

Open Access Report

Functional pathway mapping analysis for hypoxia-inducible factors

Chia-Sheng Chuang1, Tun-Wen Pai1*, Chin-Hua Hu2, Wen-Shyong Tzou2, Margaret Dah-Tsyr Chang3, Hao-Teng Chang4 and Chih-Chia Chen1

Author Affiliations

1 Department of Computer Science and Engineering & Center of Excellence for Marine Bioenvironment and Biotechnology, National Taiwan Ocean University, No. 2, Peining Road, Keelung 20224, Taiwan R.O.C

2 Institute of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung, Taiwan

3 Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu, Taiwan

4 Graduate Institute of Molecular Systems Biomedicine, China Medical University, Taichung, Taiwan

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BMC Systems Biology 2011, 5(Suppl 1):S3  doi:10.1186/1752-0509-5-S1-S3

Published: 20 June 2011

Abstract

Background

Hypoxia-inducible factors (HIFs) are transcription factors that play a crucial role in response to hypoxic stress in living organisms. The HIF pathway is activated by changes in cellular oxygen levels and has significant impacts on the regulation of gene expression patterns in cancer cells. Identifying functional conservation across species and discovering conserved regulatory motifs can facilitate the selection of reference species for empirical tests. This paper describes a cross-species functional pathway mapping strategy based on evidence of homologous relationships that employs matrix-based searching techniques for identifying transcription factor-binding sites on all retrieved HIF target genes.

Results

HIF-related orthologous and paralogous genes were mapped onto the conserved pathways to indicate functional conservation across species. Quantitatively measured HIF pathways are depicted in order to illustrate the extent of functional conservation. The results show that in spite of the evolutionary process of speciation, distantly related species may exhibit functional conservation owing to conservative pathways. The novel terms OrthRate and ParaRate are proposed to quantitatively indicate the flexibility of a homologous pathway and reveal the alternative regulation of functional genes.

Conclusion

The developed functional pathway mapping strategy provides a bioinformatics approach for constructing biological pathways by highlighting the homologous relationships between various model species. The mapped HIF pathways were quantitatively illustrated and evaluated by statistically analyzing their conserved transcription factor-binding elements.

Keywords

hypoxia-inducible factor (HIF), hypoxia-response element (HRE), transcription factor (TF), transcription factor binding site (TFBS), KEGG (Kyoto Encyclopedia of Genes and Genomes), cross-species comparison, orthology, paralogy, functional pathway