The Gurdon Institute and Department of Genetics, University of Cambridge, Cambridge CB2 1QN, UK.
Nat Cell Biol. 2013 Jan;15(1):103-12. doi: 10.1038/ncb2639. Epub 2012 Dec 16.
Although single-gene loss-of-function analyses can identify components of particular processes, important molecules are missed owing to the robustness of biological systems. Here we show that large-scale RNAi screening for suppression interactions with functionally related mutants greatly expands the repertoire of genes known to act in a shared process and reveals a new layer of functional relationships. We performed RNAi screens for 17 Caenorhabditis elegans cell polarity mutants, generating the most comprehensive polarity network in a metazoan, connecting 184 genes. Of these, 72% were not previously linked to cell polarity and 80% have human homologues. We experimentally confirmed functional roles predicted by the network and characterized through biophysical analyses eight myosin regulators. In addition, we discovered functional redundancy between two unknown polarity genes. Similar systematic genetic interaction screens for other biological processes will help uncover the inventory of relevant genes and their patterns of interactions.
虽然单基因失活分析可以识别特定过程的组成部分,但由于生物系统的稳健性,重要的分子会被遗漏。在这里,我们表明,针对功能相关突变体的大规模 RNAi 筛选抑制相互作用极大地扩展了已知在共同过程中起作用的基因的范围,并揭示了新的功能关系层。我们对 17 个秀丽隐杆线虫细胞极性突变体进行了 RNAi 筛选,生成了后生动物中最全面的极性网络,连接了 184 个基因。其中,72%以前与细胞极性无关,80%有人类同源物。我们通过实验验证了网络预测的功能作用,并通过生物物理分析对八个肌球蛋白调节剂进行了特征描述。此外,我们发现了两个未知极性基因之间的功能冗余。针对其他生物过程的类似系统遗传相互作用筛选将有助于发现相关基因及其相互作用模式的清单。