title: Using bioinformatics tools to study the role of microRNA in cancer.
abstract: 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.
authors.affiliation: Bioinformatics Unit, Clinical Research Coordination, Instituto Nacional de Câncer (INCA), Rio de Janeiro, RJ, Brazil, passetti@inca.gov.br.
authors.forename: Fabio
authors.initials: F
authors.lastname: Passetti
authors.forename: Natasha Andressa Nogueira
authors.initials: NA
authors.lastname: Jorge
authors.forename: Alan
authors.initials: A
authors.lastname: Durham
mesh_terms: D019295:Computational Biology; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic / Q000235:genetics*; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D009369:Neoplasms / Q000235:genetics
chemical_list: D035683:MicroRNAs