Department of Microbiology, University of Delhi South Campus, Benito Juarez Road, New Delhi 110021, India.
Bionivid Technology [P] Ltd, 401-4 AB Cross, 1st Main, Kasturi Nagar, East of NGEF, Bangalore 560043, India.
J Microbiol Methods. 2014 Feb;97:34-43. doi: 10.1016/j.mimet.2013.12.009. Epub 2013 Dec 21.
Microarrays have allowed gene expression profiling to progress from the gene level to the genome level, and oligonucleotide microarrays have become the platform of choice for large-scale, targeted gene expression studies. cDNA arrays and spotted oligonucleotide arrays have gradually given way to in situ synthesized oligonucleotide-based DNA microarrays for whole-genome expression profiling. With the identification of new coding and regulatory sequences, it is imperative that microarrays be updated to enable more complete expression profiling of genomes. We report here a new in situ synthesized oligonucleotide-based microarray platform for Mycobacterium tuberculosis that has been updated for the latest genome information and incorporates hitherto unannotated genes with described biological functions. This microarray has greater coverage of mycobacterial genes than any other array reported to date. We have also evaluated different labeled-target preparation methods and hybridization conditions for this new microarray to obtain high quality data and reproducible results. The new design has been rigorously validated for its specificity and performance using samples isolated from mycobacteria grown under different environment conditions. Further, the quality of the generated data has been compared with published data and is superior to that obtained using spotted oligonucleotide microarrays.
微阵列已使得基因表达谱分析从基因水平推进到基因组水平,寡核苷酸微阵列已成为大规模、靶向基因表达研究的首选平台。cDNA 微阵列和点样寡核苷酸微阵列已逐渐让位于基于原位合成寡核苷酸的 DNA 微阵列,用于全基因组表达谱分析。随着新编码和调控序列的鉴定,微阵列必须更新,以实现对基因组更完整的表达谱分析。我们在此报告了一种新的基于原位合成寡核苷酸的结核分枝杆菌微阵列平台,该平台已根据最新的基因组信息进行了更新,并纳入了迄今尚未注释但具有描述性生物学功能的基因。与迄今为止报道的任何其他微阵列相比,该微阵列对分枝杆菌基因的覆盖度更高。我们还针对这种新的微阵列评估了不同的标记靶制备方法和杂交条件,以获得高质量的数据和可重复的结果。使用在不同环境条件下生长的分枝杆菌分离的样本,对新设计的特异性和性能进行了严格的验证。此外,生成的数据质量与已发表的数据进行了比较,优于使用点样寡核苷酸微阵列获得的数据。