Lynch A S, Briggs D, Hope I A
Department of Pure and Applied Biology, University of Leeds, UK.
Nat Genet. 1995 Nov;11(3):309-13. doi: 10.1038/ng1195-309.
Maximum use should be made of information generated in the genome sequencing projects. Toward this end, we have initiated a genome sequence-based, expression pattern screen of genes predicted from the Caenorhabditis elegans genome sequence data. We examined beta-galactosidase expression patterns in C. elegans lines transformed with lacZ reporter gene fusions constructed using predicted C. elegans gene promoter regions. Of the predicted genes in the cosmids analysed so far, 67% are amenable to the approach and 54% of examined genes yielded a developmental expression pattern. Expression pattern information is being made generally available using computer databases.
应最大限度地利用基因组测序项目中产生的信息。为此,我们启动了一项基于基因组序列的、对从秀丽隐杆线虫基因组序列数据预测的基因进行表达模式筛选的工作。我们检测了用使用预测的秀丽隐杆线虫基因启动子区域构建的lacZ报告基因融合体转化的秀丽隐杆线虫品系中的β-半乳糖苷酶表达模式。在目前分析的黏粒中的预测基因中,67%适用于该方法,且54%的检测基因产生了发育表达模式。表达模式信息正在通过计算机数据库广泛提供。