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ATP 结合盒转运蛋白的概率同源性分析:对多药耐药表型发展的影响。

Probabilistic orthology analysis of the ATP-binding cassette transporters: implications for the development of multiple drug resistance phenotype.

机构信息

Centre for Toxicology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK.

出版信息

Drug Metab Dispos. 2012 Jul;40(7):1397-402. doi: 10.1124/dmd.112.045062. Epub 2012 Apr 16.

Abstract

Drug transporters are rapidly becoming recognized as central to determining a chemical's fate within the body. This action is a double-edged sword, protecting the body from toxicants, but also potentially leading to reduced clinical efficacy of drugs through multiple drug resistance phenotype. To examine the interrelationship of this superfamily, we have constructed phylogenetic trees over an extended evolutionary distance representing each of the seven subfamilies. In addition, using protein sequences from species important in the design and evaluation of novel chemicals, namely human, macaque, rat, mouse, and dog, we have undertaken probabilistic orthology analysis to examine speciation probabilities within this phylogeny. These data allow us to accurately predict orthologous sequences across these species, an important confirmatory step with implications for cross-species extrapolation of data during drug safety testing. Finally, we present the first complete phylogeny for subfamilies within humans constructed using the entire coding sequences, at both the DNA and protein levels. We demonstrate for the first time that genes associated with the multiple drug resistance phenotype cluster separately from other genes within the same subfamily, suggestive of a conserved, fundamental, difference in these proteins. Such work may help guide future studies on the mechanisms underlying multiple drug resistance as well as the development of novel therapeutic approaches to mitigate against its development.

摘要

药物转运体正迅速被认为是决定化学物质在体内命运的核心。这种作用是一把双刃剑,既能保护身体免受毒物的侵害,又能通过多种药物耐药表型导致药物临床疗效降低。为了研究这个超家族的相互关系,我们构建了进化距离较长的系统发生树,代表了七个亚家族中的每一个。此外,我们还使用了在新型化学物质的设计和评估中重要的物种(即人类、猕猴、大鼠、小鼠和狗)的蛋白质序列,进行了概率同源性分析,以研究这个系统发生树中的物种形成概率。这些数据使我们能够准确地预测这些物种之间的同源序列,这是一个重要的确认步骤,对药物安全性测试中数据的跨物种外推具有重要意义。最后,我们展示了第一个使用整个编码序列在 DNA 和蛋白质水平上构建的人类亚家族完整系统发生树。我们首次证明,与多药耐药表型相关的基因与同一亚家族中的其他基因分开聚类,这表明这些蛋白质在功能上存在保守的、基本的差异。此类工作可能有助于指导对多种药物耐药机制的未来研究,并开发减轻其发展的新型治疗方法。

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本文引用的文献

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An update on computational oral absorption simulation.计算口腔吸收模拟的最新进展。
Expert Opin Drug Metab Toxicol. 2011 Nov;7(11):1345-64. doi: 10.1517/17425255.2011.617743. Epub 2011 Sep 23.
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Probabilistic orthology analysis.概率同源性分析。
Syst Biol. 2009 Aug;58(4):411-24. doi: 10.1093/sysbio/syp046. Epub 2009 Aug 18.
7
Impact of OATP transporters on pharmacokinetics.有机阴离子转运多肽(OATP)转运体对药代动力学的影响。
Br J Pharmacol. 2009 Oct;158(3):693-705. doi: 10.1111/j.1476-5381.2009.00430.x. Epub 2009 Sep 25.
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ABC transporters: the power to change.ABC转运蛋白:改变的力量。
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