Kim Eiru, Shin Jaeyoon, Lee Insuk
Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 134 Shinchon-dong, Seodaemun-ku, Seoul 120-749, Korea.
Mol Biosyst. 2010 Oct;6(10):1803-6. doi: 10.1039/c005131d. Epub 2010 Aug 9.
Network-guided genetic screen (NGGS) has been suggested to be more effective than traditional forward or reverse genetics screen. Although the predictability of NGGS with given networks has been measured in previous studies, its general effectiveness, particularly for genome-wide reverse genetic screens, has not been assessed yet. We estimated the general effectiveness of NGGS by simulating iterative searching over networks for known phenotypic genes in two model organisms, baker's yeast (S. cerevisiae) and worm (C. elegans). We found that NGGS is more effective in C. elegans, implicating a higher value for NGGS in animals including humans.
网络引导的基因筛选(NGGS)已被认为比传统的正向或反向基因筛选更有效。尽管在先前的研究中已经测量了给定网络下NGGS的可预测性,但其总体有效性,特别是对于全基因组反向基因筛选,尚未得到评估。我们通过模拟在两种模式生物,即酿酒酵母(S. cerevisiae)和线虫(C. elegans)的网络中对已知表型基因进行迭代搜索,来估计NGGS的总体有效性。我们发现NGGS在秀丽隐杆线虫中更有效,这意味着NGGS在包括人类在内的动物中具有更高的价值。