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通过RNA干扰对线虫中合成遗传相互作用进行定量高通量分析。

Quantitative high-throughput analysis of synthetic genetic interactions in Caenorhabditis elegans by RNA interference.

作者信息

Fortunato Angelo

机构信息

The Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1HH, UK and Molecular Medicine, Department of Neuroscience, University of Siena, Via A. Moro n.5, 53100 Siena, Italy.

出版信息

Genomics. 2009 Apr;93(4):392-6. doi: 10.1016/j.ygeno.2008.11.006. Epub 2008 Dec 23.

Abstract

Biological processes are highly dynamic but the current representation of molecular networks is static and largely qualitative. To investigate the dynamic property of genetic networks, a novel quantitative high-throughput method based on RNA interference and capable of calculating the relevance of each interaction, was developed. With this approach, it will be possible to identify not only the components of a network, but also to investigate quantitatively how network and biological processes react to perturbations. As a first application of this method, the genetic interactions of a weak loss-of-function mutation in the gene efl-1/E2F with all the genes of chromosome III were investigated during embryonic development of Caenorhabditis elegans. Fifteen synthetic genetic interactions of efl-1/E2F with the genes of chromosome III were detected, measured and ranked by statistical relevance.

摘要

生物过程具有高度动态性,但目前分子网络的表示是静态的且大多是定性的。为了研究基因网络的动态特性,开发了一种基于RNA干扰且能够计算每种相互作用相关性的新型定量高通量方法。通过这种方法,不仅有可能识别网络的组成部分,还能够定量研究网络和生物过程如何对扰动做出反应。作为该方法的首次应用,在秀丽隐杆线虫胚胎发育过程中,研究了基因efl-1/E2F中功能减弱的缺失突变与第三条染色体上所有基因的遗传相互作用。通过统计相关性检测、测量并对efl-1/E2F与第三条染色体上基因的15种合成遗传相互作用进行了排序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281a/4443778/42d4974d2833/gr1.jpg

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