Volume 4 Number 3 (May 2014)
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IJBBB 2014 Vol.4(3): 150-154 ISSN: 2010-3638
DOI: 10.7763/IJBBB.2014.V4.329

Potential Candidate Genes for Hypertension with Blood Stasis Syndrome by Microarray and Databases Mining

Lian Yong-Hong, Li Wen-Juan, and Chen Li-Guo
Abstract—Objective: To screen out the potential candidate genes for hypertension with blood stasis syndrome. METHODS: Serum were drawn out from the hypertension patients with blood stasis syndrome (HTBS) and without blood stasis syndrome (HTNS), and the healthy volunteers as control group. HUVEC were cultured with conditioned mediums in which 10% serum from the different groups for 24 hours. The total RNAs extracted from the HUVEC were labeled with Cy3 or Cy5 and were hybridized to cDNA microarrays. Gene-array scanner were applied to analyze the gene expressions and the differentially expressed genes were filtered by cy3/cy5 ratios. The functional annotations and enriched pathways of the unique genes for HTBS were analyzed using DAVID. A PPI network was constructed and the potential candidate genes related with blood stasis syndrome were screened out through comparing the degrees of relations with other genes. RESULTS: Based on the network analysis results, 10 potential candidate genes for blood stasis syndrome were screened out and verified through qRT-PCR. Conclusion: Compared with previous methodologies reported in the literatures, the proposed microarray and data mining method has shown a great improvement in analyzing blood stasis syndrome.

Index Terms—Blood-stasis syndrome, gene network, hypertension, microarray.

The authors are with Jinan University, China (e-mail: tchenly@jnu.edu.cn; corresponding author: Chen Li-Guo).

 

Cite: Lian Yong-Hong, Li Wen-Juan, and Chen Li-Guo, "Potential Candidate Genes for Hypertension with Blood Stasis Syndrome by Microarray and Databases Mining," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 4, no. 3, pp. 150-154, 2014.

General Information

ISSN: 2010-3638 (Online)
Abbreviated Title: Int. J. Biosci. Biochem. Bioinform.
Frequency: Quarterly 
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal 
Abstracting/ Indexing:  Electronic Journals Library, Chemical Abstracts Services (CAS), Engineering & Technology Digital Library, Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
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