Brown Aaron C, Kai Kristin, May Marjorie E, Brown Donald C, Roopenian Derry C
The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA.
Genomics. 2004 Mar;83(3):528-39. doi: 10.1016/j.ygeno.2003.09.012.
There is a pressing need for interactive bioinformatics tools that empower investigators with the means to extract information and organize it in a simplified but meaningful format. A wealth of mammalian gene expression data is readily accessible, much of which is based on expressed sequence tags (ESTs). Many mammalian ESTs are derived from tissue-specific cDNA libraries in which the number of ESTs representing a specific gene approximates the transcriptional expression level in the source tissue. Our program ExQuest (Expressional Quantification of ESTs) organizes the public EST database (dbEST) into hierarchical tissue classes and reports tissue or developmental gene expression patterns for both mRNA and genomic sequences. ExQuest also displays tissue expression patterns of genes in the context of assembled chromosomes. These interactive "transcriptome" maps provide a novel tool for investigating the genomic basis of gene expression as well as prioritizing candidate genes within genetically mapped mutant and quantitative trait loci.
迫切需要交互式生物信息学工具,使研究人员能够以简化但有意义的格式提取信息并进行整理。大量的哺乳动物基因表达数据很容易获取,其中许多数据基于表达序列标签(EST)。许多哺乳动物EST来自组织特异性cDNA文库,其中代表特定基因的EST数量近似于源组织中的转录表达水平。我们的ExQuest程序(EST的表达定量)将公共EST数据库(dbEST)组织成层次化的组织类别,并报告mRNA和基因组序列的组织或发育基因表达模式。ExQuest还在组装染色体的背景下显示基因的组织表达模式。这些交互式“转录组”图谱为研究基因表达的基因组基础以及在遗传定位的突变体和数量性状位点内对候选基因进行优先级排序提供了一种新工具。