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构建第一个裂殖酵母 Schizosaccharomyces pombe 的化学遗传图谱总览,并采用比较图谱方法。

Construction of the first compendium of chemical-genetic profiles in the fission yeast Schizosaccharomyces pombe and comparative compendium approach.

机构信息

Bioinformatics Lab, Healthcare Group, SK Telecom, 9-1, Sunae-dong, Pundang-gu, Sungnam-si, Kyunggi-do 463-784, Republic of Korea.

出版信息

Biochem Biophys Res Commun. 2013 Jul 12;436(4):613-8. doi: 10.1016/j.bbrc.2013.05.138. Epub 2013 Jun 10.

Abstract

Genome-wide chemical genetic profiles in Saccharomyces cerevisiae since the budding yeast deletion library construction have been successfully used to reveal unknown mode-of-actions of drugs. Here, we introduce comparative approach to infer drug target proteins more accurately using two compendiums of chemical-genetic profiles from the budding yeast S. cerevisiae and the fission yeast Schizosaccharomyces pombe. For the first time, we established DNA-chip based growth defect measurement of genome-wide deletion strains of S. pombe, and then applied 47 drugs to the pooled heterozygous deletion strains to generate chemical-genetic profiles in S. pombe. In our approach, putative drug targets were inferred from strains hypersensitive to given drugs by analyzing S. pombe and S. cerevisiae compendiums. Notably, many evidences in the literature revealed that the inferred target genes of fungicide and bactericide identified by such comparative approach are in fact the direct targets. Furthermore, by filtering out the genes with no essentiality, the multi-drug sensitivity genes, and the genes with less eukaryotic conservation, we created a set of drug target gene candidates that are expected to be directly affected by a given drug in human cells. Our study demonstrated that it is highly beneficial to construct the multiple compendiums of chemical genetic profiles using many different species. The fission yeast chemical-genetic compendium is available at http://pombe.kaist.ac.kr/compendium.

摘要

自酿酒酵母缺失文库构建以来,全基因组化学遗传谱已成功用于揭示药物的未知作用机制。在这里,我们介绍了一种使用酿酒酵母和裂殖酵母的两个化学遗传图谱综合数据集更准确地推断药物靶蛋白的比较方法。我们首次建立了基于 DNA 芯片的裂殖酵母全基因组缺失株生长缺陷测量方法,然后将 47 种药物应用于杂合缺失株的混合株中,以在裂殖酵母中生成化学遗传图谱。在我们的方法中,通过分析酿酒酵母和裂殖酵母综合数据集,从对特定药物敏感的菌株中推断出假定的药物靶标。值得注意的是,文献中的许多证据表明,通过这种比较方法鉴定出的杀菌剂和杀细菌剂的推断靶基因实际上是直接靶标。此外,通过过滤掉非必需基因、多药敏感性基因和较少真核生物保守性的基因,我们创建了一组药物靶基因候选物,这些候选物预计会在人类细胞中直接受到特定药物的影响。我们的研究表明,使用许多不同的物种构建多个化学遗传图谱综合数据集是非常有益的。裂殖酵母化学遗传图谱综合数据集可在 http://pombe.kaist.ac.kr/compendium 上获得。

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