Wu Xiao-Xia, Wan Tao, Wu Hong-Jin, Zhi Guang, Xiao Cang-Song, Gao Chang-Qing, Wu Jia-Jin
Department of Cardiology, General Hospital of Chinese People's Armed Police Forces, Beijing 100039, China.
Zhonghua Xin Xue Guan Bing Za Zhi. 2009 Feb;37(2):120-5.
To identify the differentially expressed gene profiles in myocardium of patients with heart failure using human whole genomic oligonucleotide microarray-assisted pathway analysis.
Phalanx whole genomic oligonucleotide microarrays were used to detect the gene expression profiles of myocardium in four patients died of heart failure and 4 brain died patients without heart diseases. The microarray findings were confirmed by real-time quantitative reverse transcriptase-polymerase chain reaction. The genes with a threshold of 1.2 times fold-change were selected and BioCarta Pathway and KEGG (Kyoto Encyclopaedia of Genes and Genomes) pathway databases were used to identify functionally related gene pathways.
A total of 2806 genes with differentially expression were detected between the failing and non-failing heart samples, expression changes of 399 genes were more than 2-folds. Eleven pathways were identified by BioCarta pathway database and sixteen pathways were identified by KEGG PATHWAY Database.
Genomic microarray-assisted pathway analysis could help to identify gene expression profiles in failing heart.
采用人类全基因组寡核苷酸微阵列辅助通路分析，鉴定心力衰竭患者心肌中差异表达的基因谱。
使用方阵全基因组寡核苷酸微阵列检测4例死于心力衰竭的患者及4例无心脏病的脑死亡患者心肌的基因表达谱。通过实时定量逆转录聚合酶链反应确认微阵列检测结果。选择变化倍数阈值为1.2倍的基因，并使用BioCarta通路和KEGG（京都基因与基因组百科全书）通路数据库来鉴定功能相关的基因通路。
在衰竭心脏样本与非衰竭心脏样本之间共检测到2806个差异表达基因，其中399个基因的表达变化超过2倍。通过BioCarta通路数据库鉴定出11条通路，通过KEGG通路数据库鉴定出16条通路。
基因组微阵列辅助通路分析有助于鉴定衰竭心脏中的基因表达谱。
