Berger Dave K, Crampton Bridget G, Hein Ingo, Vos Wiesner
Department of Botany, Forestry and Agricultural Biotechnology Institute, University of Pretoria, South Africa.
Methods Mol Biol. 2007;382:177-203. doi: 10.1007/978-1-59745-304-2_12.
A quantitative screening method was developed to evaluate the quality of cDNA libraries constructed by suppression subtraction hybridization (SSH) or other enrichment techniques. The SSH technique was adapted to facilitate screening of the resultant library on a small number of glass slide microarrays. A simple data analysis pipeline named SSHscreen using "linear models for microarray data" (limma) functions in the R computing environment was developed to identify clones in the cDNA libraries that are significantly differentially expressed, and to determine if they were rare or abundant in the original treated sample. This approach facilitates the choice of clones from the cDNA library for further analysis, such as DNA sequencing, Northern blotting, RT-PCR, or detailed expression profiling using a custom cDNA microarray. Furthermore, this strategy is particularly useful for studies of nonmodel organisms for which there is little genome sequence information.
开发了一种定量筛选方法,用于评估通过抑制消减杂交(SSH)或其他富集技术构建的cDNA文库的质量。对SSH技术进行了改进,以便在少量玻片微阵列上对所得文库进行筛选。开发了一个名为SSHscreen的简单数据分析流程,该流程在R计算环境中使用“微阵列数据线性模型”(limma)函数,以鉴定cDNA文库中差异表达显著的克隆,并确定它们在原始处理样品中是稀有还是丰富。这种方法有助于从cDNA文库中选择克隆进行进一步分析,如DNA测序、Northern印迹、RT-PCR或使用定制cDNA微阵列进行详细的表达谱分析。此外,该策略对于几乎没有基因组序列信息的非模式生物的研究特别有用。