中华神经外科杂志
中華神經外科雜誌
중화신경외과잡지
Chinese Journal of Neurosurgery
2010年
1期
28-31
,共4页
翟宝进%刘欣民%王俊妨%崔刚%董俊强%常斌鸽%薛得友%焦德让
翟寶進%劉訢民%王俊妨%崔剛%董俊彊%常斌鴿%薛得友%焦德讓
적보진%류흔민%왕준방%최강%동준강%상빈합%설득우%초덕양
颅内动脉瘤%白细胞%基因表达谱%寡核苷酸序列分析
顱內動脈瘤%白細胞%基因錶達譜%寡覈苷痠序列分析
로내동맥류%백세포%기인표체보%과핵감산서렬분석
Intracranial aneurysm%Leukocytes%Gene expression profiling%Oligonucleotide array sequence analysis
目的 寻找动脉瘤患者外周血中基因表达谱特征并探讨其意义.方法 对120例研究者(包括60例患者和60例对照)的外周血样本进行全基因表达谱分析.提取颅内动脉瘤患者的总RNA,然后应用BiostarH-140s基因芯片技术和GenePix Pro 3.0软件分析颅内动脉瘤患者和正常对照组的基因表达谱,发现差异表达基因,应用RT-PCR方法 对差异基因进行验证.结果 颅内动脉瘤患者与正常对照组比较,发现85个差异表达基因,其中表达下调的基因31个,表达上调的基因54个.RT-PCR结果 证实了基因芯片技术的准确性和可靠性.结论 基于患者外周血基因表达谱分析所得的差异基因,有望成为颅内动脉瘤早期诊断最有潜力的标记物.
目的 尋找動脈瘤患者外週血中基因錶達譜特徵併探討其意義.方法 對120例研究者(包括60例患者和60例對照)的外週血樣本進行全基因錶達譜分析.提取顱內動脈瘤患者的總RNA,然後應用BiostarH-140s基因芯片技術和GenePix Pro 3.0軟件分析顱內動脈瘤患者和正常對照組的基因錶達譜,髮現差異錶達基因,應用RT-PCR方法 對差異基因進行驗證.結果 顱內動脈瘤患者與正常對照組比較,髮現85箇差異錶達基因,其中錶達下調的基因31箇,錶達上調的基因54箇.RT-PCR結果 證實瞭基因芯片技術的準確性和可靠性.結論 基于患者外週血基因錶達譜分析所得的差異基因,有望成為顱內動脈瘤早期診斷最有潛力的標記物.
목적 심조동맥류환자외주혈중기인표체보특정병탐토기의의.방법 대120례연구자(포괄60례환자화60례대조)적외주혈양본진행전기인표체보분석.제취로내동맥류환자적총RNA,연후응용BiostarH-140s기인심편기술화GenePix Pro 3.0연건분석로내동맥류환자화정상대조조적기인표체보,발현차이표체기인,응용RT-PCR방법 대차이기인진행험증.결과 로내동맥류환자여정상대조조비교,발현85개차이표체기인,기중표체하조적기인31개,표체상조적기인54개.RT-PCR결과 증실료기인심편기술적준학성화가고성.결론 기우환자외주혈기인표체보분석소득적차이기인,유망성위로내동맥류조기진단최유잠력적표기물.
Objective Our goal was to identify a distinct gene expression signature in peripheral blood that may identify individuals at risk for IA. Method Whole genome gene expression profiles from 120 peripheral blood samples (collected from 60 individuals with IA and 60 controls) were analyzed. The patients with IA were collected to obtain the total RNA. The BiostarH-140s gene chip and the GenePix Pro 3.0 software were used to analyze the gene expression map of IA patients and the normal, then the different expressed genes were found. Reverse transcription-polymerase chain reaction (RT-PCR) was performed on 2 genes as a confirmatory test. Results There were 85 genes differently expressed between the IA patients and the normal, there were 31 genes low expressed, and 54 genes were high expressed. RT-PCR results confirmed the differential expression found by the gene chip microarray. Conclusions The classifier genes identified in this study, define a set of promising potential diagnostic markers, setting the stage for a blood-based gene expression test to facilitate early detection of IA.