Passetti Fabio, Jorge Natasha Andressa Nogueira, Durham Alan
Bioinformatics Unit, Clinical Research Coordination, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ, Brazil,
Methods Mol Biol. 2014;1168:99-116. doi: 10.1007/978-1-4939-0847-9_7.
High-throughput sequencing (HTS) has emerged as a promising method to study gene expression in neoplastic and normal tissues. Using HTS, many research groups have described transcript variants as well as discovering new transcribed loci and noncoding RNAs, including microRNAs. In oncology, expression profiling of microRNAs in matched tumor and normal tissues has been used to detect differential expression of microRNAs in cancer. We present one approach for laboratories with few bioinformatics support to assist in the analysis of microRNA HTS data focused in oncology. This approach can also be adapted to study other systems.
高通量测序（HTS）已成为一种研究肿瘤组织和正常组织中基因表达的有前景的方法。利用高通量测序，许多研究小组描述了转录变体，还发现了新的转录位点和非编码RNA，包括微小RNA。在肿瘤学中，配对的肿瘤组织和正常组织中微小RNA的表达谱已被用于检测癌症中微小RNA的差异表达。我们为生物信息学支持较少的实验室提供了一种方法，以协助分析专注于肿瘤学的微小RNA高通量测序数据。这种方法也可适用于研究其他系统。
