Huang XiaoDong, Wang Jean Y J, Lu Xin
Division of Biological Sciences, University of California at San Diego, La Jolla, CA 92093, USA.
BMC Syst Biol. 2008 Jun 13;2:49. doi: 10.1186/1752-0509-2-49.
High throughput screens with RNA interference technology enable loss-of-function analyses of gene activities in mammalian cells. While the construction of genome-scale shRNA libraries has been successful, results of large-scale screening of those libraries can be difficult to analyze because of the relatively high noise levels and the fact that not all shRNAs in a library are equally effective in silencing gene expression.
We have screened a library consisting of 43,828 shRNAs directed against 8,500 human genes for functions that are necessary in cell detachment induced by a constitutively activated c-Abl tyrosine kinase. To deal with the issues of noise and uncertainty of knockdown efficiencies, we employed an analytical strategy that combines quantitative data analysis with biological knowledge, i.e. Gene Ontology and pathway information, to increase the power of the RNAi screening technique. Using this strategy we found 16 candidate genes to be involved in Abl-induced disruption of cell adhesion, and verified that the knockdown of IL6ST is associated with enhanced cell attachment.
Our results suggest that the power of genome-wide quantitative shRNA screens can be significantly increased when analyzed using a systems biology-based approach to identify functional gene networks.
利用RNA干扰技术进行的高通量筛选能够对哺乳动物细胞中的基因活性进行功能缺失分析。虽然基因组规模的shRNA文库构建已取得成功,但由于相对较高的噪音水平以及文库中并非所有shRNA在沉默基因表达方面都同样有效这一事实,对这些文库进行大规模筛选的结果可能难以分析。
我们筛选了一个由针对8500个人类基因的43828个shRNA组成的文库,以寻找在组成型激活的c-Abl酪氨酸激酶诱导的细胞脱离中所必需的功能。为了解决敲低效率的噪音和不确定性问题,我们采用了一种将定量数据分析与生物学知识(即基因本体论和通路信息)相结合的分析策略,以提高RNAi筛选技术的效能。使用该策略,我们发现16个候选基因参与Abl诱导的细胞黏附破坏,并证实敲低IL6ST与增强细胞附着有关。
我们的结果表明,当使用基于系统生物学的方法来识别功能基因网络进行分析时,全基因组定量shRNA筛选的效能可显著提高。