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作 者:Huoqing Jiang Qinlong Hou Zhefeng Gong Li Liu
机构地区:[1]State Key Laboratory of Brain and Cognitive Science,Institute of Biophysics,Chinese Academy of Sciences,Beijing 100101,China [2]Graduate University of the Chinese Academy of Sciences,Beijing 100039,China [3]Key Laboratory of Mental Health,Chinese Academy of Sciences,Beijing 100101,China
出 处:《Protein & Cell》2011年第3期215-222,共8页蛋白质与细胞(英文版)
基 金:the National Basic Research Program of China(the 973 Program)(Grant No.2009CB918702);the National Natural Science Foundation of China(Grant Nos.30921064,30625022,31030037 and 31070944);the External Cooperation Program of the Chinese Academy of Sciences(Grant No.GJHZ1005).
摘 要:The fruit fly,Drosophila melanogaster,is able to discriminate visual landmarks and form visual long-term memory in a flight simulator.Studies focused on the molecular mechanism of long-term memory have shown that memory formation requires mRNA transcription and protein synthesis.However,little is known about the molecular mechanisms underlying the visual learning paradigm.The present study demonstrated that both spaced training procedure(STP)and consecutive training procedure(CTP)would induce long-term memory at 12 hour after training,and STP caused significantly higher 12-h memory scores compared with CTP.Labelfree quantification of liquid chromatography-tandem mass spectrometry(LC-MS/MS)and microarray were utilized to analyze proteomic and transcriptomic differences between the STP and CTP groups.Proteomic analysis revealed 30 up-regulated and 27 down-regulated proteins;Transcriptomic analysis revealed 145 up-regulated and 129 down-regulated genes.Among them,five candidate genes were verified by quantitative PCR,which revealed results similar to microarray.These results provide insight into the molecular components influencing visual long-term memory and facilitate further studies on the roles of identified genes in memory formation.
关 键 词:visual learning and memory DROSOPHILA long-term memory MICROARRAY liquid chromatography-tandem mass spectrometry
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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