美國(guó)麻省理工大學(xué)的研究者發(fā)現(xiàn)來(lái)自不同人的細(xì)胞暴露于同樣的DNA破壞因素下的反應(yīng)各不相同,。這一發(fā)現(xiàn)能夠幫助臨床醫(yī)生預(yù)見(jiàn)病人對(duì)于化學(xué)療法的反應(yīng),。
來(lái)自麻省理工學(xué)院環(huán)境健康科學(xué)中心及生物工程部的研究團(tuán)隊(duì),識(shí)別出了一組48個(gè)可以預(yù)測(cè)個(gè)體對(duì)稱(chēng)為MNNG的有毒化合物的反應(yīng)的基因,。這一工作登載于9月19日的《基因與發(fā)育》(Genes and Development)網(wǎng)絡(luò)版,。MNNG是一種可以破壞DNA的化合物,類(lèi)似于吸煙以及一般化療時(shí)產(chǎn)生的有害化學(xué)物,,通常會(huì)因破壞DNA而殺死細(xì)胞,。然而,研究者從健康人群的細(xì)胞中發(fā)現(xiàn)了不同的易感染性,。
論文作者之一,,前麻省理工大學(xué)的科學(xué)家Rebecca Fry說(shuō):“有可能一個(gè)人體內(nèi)的細(xì)胞被大量的殺死而另外一個(gè)人的細(xì)胞卻具有抵抗性,。” 像MNNG這樣的有毒因子會(huì)對(duì)DNA造成損害,激發(fā)細(xì)胞自身產(chǎn)生各種DNA修復(fù)過(guò)程以及其他方式,。然而,,每一個(gè)個(gè)體在這些過(guò)程中表現(xiàn)出略微的不同。
論文主要作者Leona Samson說(shuō),,即便每個(gè)人都暴露于相同的環(huán)境中,,他們的反應(yīng)也會(huì)不同,因?yàn)槲覀冊(cè)谶z傳學(xué)上都各不相同,。
研究人員發(fā)現(xiàn)在測(cè)試了每個(gè)細(xì)胞組各個(gè)基因的表現(xiàn)后,,他們能夠通過(guò)48種基因表達(dá)預(yù)測(cè)出細(xì)胞的對(duì)MNNG的敏感度,準(zhǔn)確率可達(dá)94% ,。
這48種基因中有許多都與癌癥有關(guān),,但是并不能確定在他們暴露于DNA破壞因子之前是否已經(jīng)改變。這個(gè)研究是針對(duì)MNNG進(jìn)行的,,相似的試驗(yàn)正在Samson實(shí)驗(yàn)室進(jìn)行著,,他們想要預(yù)測(cè)個(gè)體對(duì)于其他有害因素,如順鉑(一種常用化療藥物)及替莫唑胺(用于治療腦癌)等因素的反應(yīng),。(生物谷Bioon.com)
生物谷推薦原始出處:
Genes and Development, DOI: 10.1101/gad.1688508
Genomic predictors of interindividual differences in response to DNA damaging agents
Rebecca C. Fry, J. Peter Svensson, Chandni Valiathan, Emma Wang, Brad J. Hogan, Sanchita Bhattacharya, James M. Bugni, Charles A. Whittaker, and Leona D. Samson
Human lymphoblastoid cells derived from different healthy individuals display considerable variation in their transcription profiles. Here we show that such variation in gene expression underlies interindividual susceptibility to DNA damaging agents. The results demonstrate the massive differences in sensitivity across a diverse cell line panel exposed to an alkylating agent. Computational models identified 48 genes with basal expression that predicts susceptibility with 94% accuracy. Modulating transcript levels for two member genes, MYH and C21ORF56, confirmed that their expression does indeed influence alkylation sensitivity. Many proteins encoded by these genes are interconnected in cellular networks related to human cancer and tumorigenesis.