Nanyang Girls' High School, Ministry of Education, Singapore.
IUBMB Life. 2010 Mar;62(3):200-3. doi: 10.1002/iub.295.
Difference in gene expressions is characteristic of the function of different cell types and those genes with low expression variance can be used as standards for quantitative gene expression studies. Microarray technology is used to study global gene expression within a cell; hence, represents a suitable source of data to mine for genes with low expression variance. The coefficient of variation (COV) of each gene was determined and a threshold of less than 0.1 COV was used to select stably expressed genes in each data set. Our results showed that microtubule affinity-regulating kinase 3 (MARK3) has the lowest COV in eight microarray datasets. In addition, the gene expression of housekeeping genes, which is very likely to be stably expressed, tends to fluctuate highly under different conditions, marking them as being less reliable for use as reference genes.
基因表达的差异是不同细胞类型功能的特征,那些表达方差低的基因可以用作定量基因表达研究的标准。微阵列技术用于研究细胞内的全局基因表达;因此,它是挖掘具有低表达方差的基因的合适数据源。确定了每个基因的变异系数 (COV),并将小于 0.1 COV 的阈值用于选择每个数据集的稳定表达基因。我们的结果表明,微管亲和调节激酶 3 (MARK3) 在八个微阵列数据集中具有最低的 COV。此外,管家基因的基因表达在不同条件下很可能稳定表达,但波动很大,这表明它们作为参考基因的可靠性较低。