本文選題：內(nèi)參基因 + 表達(dá)譜芯片��； 參考：《中國實(shí)驗(yàn)動(dòng)物學(xué)報(bào)》2017年01期

【摘要】：目的基于表達(dá)譜芯片的檢測(cè)結(jié)果,篩選多個(gè)內(nèi)參基因,用于小家鼠肝臟組織中具有不同表達(dá)豐度基因的定量檢測(cè)。方法應(yīng)用表達(dá)譜芯片技術(shù),完成小鼠肝臟組織的表達(dá)譜檢測(cè);依據(jù)基因表達(dá)豐度將基因分為3組,并進(jìn)一步通過變異系數(shù)(coefficient of variation,CV)組內(nèi)篩選候選內(nèi)參基因;采用實(shí)時(shí)熒光定量PCR技術(shù)(realtime quantitative polymerase chain reaction,q PCR)和ge Norm軟件確定內(nèi)參基因。結(jié)果表達(dá)譜芯片成功采集超過60000個(gè)小鼠肝臟組織中轉(zhuǎn)錄本的表達(dá)量數(shù)據(jù),并將之分為低、中、高3個(gè)組合。最終篩選了低表達(dá)Casp2和Lrrc14、中表達(dá)Nrd1和Trpc4ap、高表達(dá)Atp5a1和Clu,共6個(gè)內(nèi)參基因。結(jié)論基于表達(dá)譜芯片數(shù)據(jù)篩選的6個(gè)內(nèi)參基因,可適用于q PCR技術(shù)準(zhǔn)確定量小家鼠肝組織轉(zhuǎn)錄組中不同表達(dá)豐度基因的表達(dá)量。
[Abstract]:Objective to screen multiple internal reference genes based on the results of expression microarray for quantitative detection of differentially expressed abundant genes in rat liver. Methods the expression profiles of mouse liver tissues were detected by using expression microarray technique, and the genes were divided into 3 groups according to the abundance of gene expression, and the candidate internal reference genes were screened by coefficient of variation (CV) group. Real time quantitative polymerase chain reactionQ PCR and ge Norm software were used to identify the internal reference gene. Results the expression data of the transcripts in more than 60000 mouse liver tissues were successfully collected by expression microarray and divided into three combinations: low, medium and high. Finally, the low expression of Casp2 and Lrrc14, the expression of Nrd1 and Trpc4apand the high expression of Atp5a1 and Club were screened. Conclusion the six internal reference genes screened based on the expression microarray data can be used to accurately quantify the expression of different abundance genes in rat liver tissue transcriptiongroup by qPCR.
【作者單位】： 東華大學(xué)生物科學(xué)與技術(shù)研究所;
【基金】：國家自然科學(xué)基金面上項(xiàng)目(編號(hào):31371257) 上海市科委關(guān)鍵項(xiàng)目(編號(hào):12140900404,13140900300,15140900500)
【分類號(hào)】：R-332

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