Sidders Ben, Withers Mike, Kendall Sharon L, Bacon Joanna, Waddell Simon J, Hinds Jason, Golby Paul, Movahedzadeh Farahnaz, Cox Robert A, Frita Rosangela, Ten Bokum Annemieke M C, Wernisch Lorenz, Stoker Neil G
Department of Pathology and Infectious Diseases, Royal Veterinary College, Royal College Street, London, NW1 0TU, UK.
Genome Biol. 2007;8(12):R265. doi: 10.1186/gb-2007-8-12-r265.
We describe an analysis, applicable to any spotted microarray dataset produced using genomic DNA as a reference, that quantifies prokaryotic levels of mRNA on a genome-wide scale. Applying this to Mycobacterium tuberculosis, we validate the technique, show a correlation between level of expression and biological importance, define the complement of invariant genes and analyze absolute levels of expression by functional class to develop ways of understanding an organism's biology without comparison to another growth condition.
我们描述了一种分析方法,适用于任何以基因组DNA为参考生成的斑点微阵列数据集,该方法可在全基因组范围内对原核生物的mRNA水平进行定量。将此方法应用于结核分枝杆菌,我们验证了该技术,显示了表达水平与生物学重要性之间的相关性,定义了不变基因的互补性,并按功能类别分析了表达的绝对水平,以开发在不与其他生长条件进行比较的情况下理解生物体生物学的方法。