脱氧核糖核酸微数组被承认了为病毒的病原体的察觉代表一条有希望的途径。然而,为当前的数组设计的探针能盖住仅仅给定的病毒的变体的部分,那能导致假否定或模糊的数据。如果所有变体将被盖住,为更多的探针的要求将显示许多更高的点密度;数组的因此更高的费用。这里,我们为 oligonucleotide 设计开发了新策略。用类型我人的免疫不全病毒(HIV-1 ) 作为一个例子梭织基因,我们设计了数组探针;在 silico 验证了优化参数。结果证明 oligo 数字显著地被减少与存在方法作比较,当时特性;杂交效率遗体未经触动。在减少 oligo 数字的这个方法的采纳能为脱氧核糖核酸微数组增加察觉能力,;将为做的显著地更低的生产费用穿薄片。
DNA microarrays have been acknowledged to represent a promising approach for the detection of viral pathogens. However, the probes designed for current arrays could cover only part of the given viral variants, that could result in false-negative or ambiguous data. If all the variants are to be covered, the requirement for more probes would render much higher spot density and thus higher cost of the arrays. Here we have developed a new strategy for oligonucleotide probe design. Using type Ⅰ human immunodeficiency virus (HIV-1) tat gene as an example, we designed the array probes and validated the optimized parameters in silico. Results show that the oligo number is significantly reduced comparing with the existing methods, while specificity and hybridization efficiency remain intact. The adoption of this method in reducing the oligo numbers could increase the detection capacity for DNA microarrays, and would significantly lower the manufacturing cost for making array chips.