中华心血管病杂志
中華心血管病雜誌
중화심혈관병잡지
Chinese Journal of Cardiology
2009年
2期
120-125
,共6页
吴晓霞%万涛%吴红金%智光%肖苍松%高长青%吴加金
吳曉霞%萬濤%吳紅金%智光%肖蒼鬆%高長青%吳加金
오효하%만도%오홍금%지광%초창송%고장청%오가금
心力衰竭,充血性%基因表达%信号传导
心力衰竭,充血性%基因錶達%信號傳導
심력쇠갈,충혈성%기인표체%신호전도
Heart failure,congestive%Gone expression%Signal transduction
目的 利用人全基因组芯片分析心力衰竭(心衰)患者与正常人心肌细胞差异表达基因,结合已知基因功能分类着重对细胞信号通路进行分析.方法 应用华联公司人全基因组芯片,检测4例心衰患者及4例脑死亡的正常人心肌细胞的基因表达谱,并以实时荧光定量PCR技术对基因芯片检测结果 进行验证.将心衰差异表达量≥1.2倍或≤-1.2倍的基因经BioCarta通路和KEGG通路进行信号通路分析.结果 4例心衰心肌标本与正常对照比较,表达量变化1.2倍以上的基因有2806条;变化2倍以上的有399条基因.经BioCarta通路分析,心衰时涉及11条通路蛋白.经KEGG通路分析,涉及16条通路.结论 心衰时心肌细胞巾有大量的基因呈现差异表达,并激活了多条促进细胞凋亡通路及涉及转录调控的通路.运用基因芯片和生物学通路相结合的方法 ,分析基因表达谱能准确而且有的放矢地研究与心衰病理生理的相关基因.
目的 利用人全基因組芯片分析心力衰竭(心衰)患者與正常人心肌細胞差異錶達基因,結閤已知基因功能分類著重對細胞信號通路進行分析.方法 應用華聯公司人全基因組芯片,檢測4例心衰患者及4例腦死亡的正常人心肌細胞的基因錶達譜,併以實時熒光定量PCR技術對基因芯片檢測結果 進行驗證.將心衰差異錶達量≥1.2倍或≤-1.2倍的基因經BioCarta通路和KEGG通路進行信號通路分析.結果 4例心衰心肌標本與正常對照比較,錶達量變化1.2倍以上的基因有2806條;變化2倍以上的有399條基因.經BioCarta通路分析,心衰時涉及11條通路蛋白.經KEGG通路分析,涉及16條通路.結論 心衰時心肌細胞巾有大量的基因呈現差異錶達,併激活瞭多條促進細胞凋亡通路及涉及轉錄調控的通路.運用基因芯片和生物學通路相結閤的方法 ,分析基因錶達譜能準確而且有的放矢地研究與心衰病理生理的相關基因.
목적 이용인전기인조심편분석심력쇠갈(심쇠)환자여정상인심기세포차이표체기인,결합이지기인공능분류착중대세포신호통로진행분석.방법 응용화련공사인전기인조심편,검측4례심쇠환자급4례뇌사망적정상인심기세포적기인표체보,병이실시형광정량PCR기술대기인심편검측결과 진행험증.장심쇠차이표체량≥1.2배혹≤-1.2배적기인경BioCarta통로화KEGG통로진행신호통로분석.결과 4례심쇠심기표본여정상대조비교,표체량변화1.2배이상적기인유2806조;변화2배이상적유399조기인.경BioCarta통로분석,심쇠시섭급11조통로단백.경KEGG통로분석,섭급16조통로.결론 심쇠시심기세포건유대량적기인정현차이표체,병격활료다조촉진세포조망통로급섭급전록조공적통로.운용기인심편화생물학통로상결합적방법 ,분석기인표체보능준학이차유적방시지연구여심쇠병리생리적상관기인.
Objective To identify the differentially expressed gene profiles in myocardium of patients with heart failure using human whole genomic oligonucleotide microarray-assisted pathway analysis. Methods 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. Results 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 athways were identified by KEGG PATHWAY Database. Conclusion Genomic microarray-assisted pathway analysis could help to identify
gene expression profiles in failing heart.