按摩与康复医学
按摩與康複醫學
안마여강복의학
Chinese Manipulation & Rehabilitation Medicine
2015年
14期
76-77,78
,共3页
姚楠%崔井朝%孙冬梅%陈玉兴%曾晓会%赵自明
姚楠%崔井朝%孫鼕梅%陳玉興%曾曉會%趙自明
요남%최정조%손동매%진옥흥%증효회%조자명
非诺贝特%酿酒酵母%基因表达谱%芯片
非諾貝特%釀酒酵母%基因錶達譜%芯片
비낙패특%양주효모%기인표체보%심편
fenofibrate%saccharomyces cerevisiae%gene expression profile%chip
目的:探讨非诺贝特对酿酒酵母基因表达谱的影响,在基因表达水平上分析其作用机理。方法:采用非诺贝特(100μg/mL)处理酿酒酵母90min后,抽提细胞RNA进行反转录荧光标记cRNA,与基因表达谱芯片进行杂交,用激光扫描仪检测杂交信号,并用相应软件进行分析。结果:与正常对照组相比,非诺贝特导致19个已知的基因表达明显上升(诱导倍数>1.5),同时导致14个已知的基因表达明显下降(抑制倍数>1.5);另外,非诺贝特显著诱导了α-亚麻酸、脂肪酸代谢和降解信号通路,抑制了丙酮酸和碳代谢、糖酵解和糖异生、二羧酸代谢等信号通路(P<0.05)。结论:非诺贝特可以明显调节脂肪酸、糖和尿酸代谢信号通路。
目的:探討非諾貝特對釀酒酵母基因錶達譜的影響,在基因錶達水平上分析其作用機理。方法:採用非諾貝特(100μg/mL)處理釀酒酵母90min後,抽提細胞RNA進行反轉錄熒光標記cRNA,與基因錶達譜芯片進行雜交,用激光掃描儀檢測雜交信號,併用相應軟件進行分析。結果:與正常對照組相比,非諾貝特導緻19箇已知的基因錶達明顯上升(誘導倍數>1.5),同時導緻14箇已知的基因錶達明顯下降(抑製倍數>1.5);另外,非諾貝特顯著誘導瞭α-亞痳痠、脂肪痠代謝和降解信號通路,抑製瞭丙酮痠和碳代謝、糖酵解和糖異生、二羧痠代謝等信號通路(P<0.05)。結論:非諾貝特可以明顯調節脂肪痠、糖和尿痠代謝信號通路。
목적:탐토비낙패특대양주효모기인표체보적영향,재기인표체수평상분석기작용궤리。방법:채용비낙패특(100μg/mL)처리양주효모90min후,추제세포RNA진행반전록형광표기cRNA,여기인표체보심편진행잡교,용격광소묘의검측잡교신호,병용상응연건진행분석。결과:여정상대조조상비,비낙패특도치19개이지적기인표체명현상승(유도배수>1.5),동시도치14개이지적기인표체명현하강(억제배수>1.5);령외,비낙패특현저유도료α-아마산、지방산대사화강해신호통로,억제료병동산화탄대사、당효해화당이생、이최산대사등신호통로(P<0.05)。결론:비낙패특가이명현조절지방산、당화뇨산대사신호통로。
Objective:To investigate the effect of fenofibrate on saccharomyces cerevisiae gene expression profile and study the mechanism at gene expression level. Methods:After Saccharomyces cerevisiae was treated with fenofibrate (100μg/mL) for 90min, cell RNA was extracted and re-verse-transcripted into fluorescently-labeled cRNA which was hybridized with gene expression profile chip. Furthermore, laser scanner was used to detect the hybridization signal. Finally, data was analyzed by related software. Results:Compared with normal control group, fenofibrate obviously increased expression of 19 known genes (fold>1.5), and markedly reduced expression of 14 known genes (fold>1.5);in addition, fenofibrate signifi-cantly elevated the alpha-Linolenic acid metabolism, fatty acid degradation and metabolism signal pathway and decreased pyruvate metabolism, gly-colysis/gluconeogenesis and glyoxylate and dicarboxylate metabolism signal pathway (P<0.05). Conclusion:The results suggest that the fatty acid, glycogen and uric acid metabolism signal pathways could be significantly regulated by fenofibrate.