RESUMO
MicroRNAs (miRNAs) are a class of noncoding RNAs (ncRNAs) and posttranscriptional gene regulators shown to be involved in pathogenesis of all types of human cancers. Their aberrant expression as tumor suppressors can lead to cancerogenesis by inhibiting malignant potential, or when acting as oncogenes, by activating malignant potential. Differential expression of miRNA genes in tumorous tissues can occur owing to several factors including positional effects when mapping to cancer-associated genomic regions, epigenetic mechanisms, and malfunctioning of the miRNA processing machinery, all of which can contribute to a complex miRNA-mediated gene network misregulation. They may increase or decrease expression of protein-coding genes, can target 3'-UTR or other genic regions (5'-UTR, promoter, coding sequences), and can function in various subcellular compartments, developmental, and metabolic processes. Because expanding research on miRNA-cancer associations has already produced large amounts of data, our main objective here was to summarize main findings and critically examine the intricate network connecting the miRNAs and coding genes in regulatory mechanisms and their function and phenotypic consequences for cancer. By examining such interactions, we aimed to gain insights for the development of new diagnostic markers as well as identification of potential venues for more selective tumor therapy. To enable efficient examination of the main past and current miRNA discoveries, we developed a Web-based miRNA timeline tool that will be regularly updated (http://www.integratomics-time.com/miRNA_timeline). Further development of this tool will be directed at providing additional analyses to clarify complex network interactions between miRNAs, other classes of ncRNAs, and protein-coding genes and their involvement in development of diseases including cancer. This tool therefore provides curated relevant information about the miRNA basic research and therapeutic application all at hand on one site to help researchers and clinicians in making informed decision about their miRNA cancer-related research or clinical practice.
Assuntos
Transformação Celular Neoplásica/genética , Regulação Neoplásica da Expressão Gênica , Genes Neoplásicos , MicroRNAs/genética , MicroRNAs/metabolismo , Neoplasias/genética , Redes Reguladoras de Genes , Genes Supressores de Tumor , Variação Genética , Humanos , Oncogenes , Processamento Pós-Transcricional do RNARESUMO
MicroRNAs (miRNAs) are a class of non-coding RNA that plays an important role in posttranscriptional regulation of mRNA. Evidence has shown that miRNA gene variability might interfere with its function resulting in phenotypic variation and disease susceptibility. A major role in miRNA target recognition is ascribed to complementarity with the miRNA seed region that can be affected by polymorphisms. In the present study, we developed an online tool for the detection of miRNA polymorphisms (miRNA SNiPer) in vertebrates (http://www.integratomics-time.com/miRNA-SNiPer) and generated a catalog of miRNA seed region polymorphisms (miR-seed-SNPs) consisting of 149 SNPs in six species. Although a majority of detected polymorphisms were due to point mutations, two consecutive nucleotide substitutions (double nucleotide polymorphisms, DNPs) were also identified in nine miRNAs. We determined that miR-SNPs are frequently located within the quantitative trait loci (QTL), chromosome fragile sites, and cancer susceptibility loci, indicating their potential role in the genetic control of various complex traits. To test this further, we performed an association analysis between the mmu-miR-717 seed SNP rs30372501, which is polymorphic in a large number of standard inbred strains, and all phenotypic traits in these strains deposited in the Mouse Phenome Database. Analysis showed a significant association between the mmu-miR-717 seed SNP and a diverse array of traits including behavior, blood-clinical chemistry, body weight size and growth, and immune system suggesting that seed SNPs can indeed have major pleiotropic effects. The bioinformatics analyses, data and tools developed in the present study can serve researchers as a starting point in testing more targeted hypotheses and designing experiments using optimal species or strains for further mechanistic studies.
Assuntos
Biologia Computacional/métodos , MicroRNAs/genética , Polimorfismo de Nucleotídeo Único/genética , Vertebrados/genética , Adiposidade/genética , Animais , Sequência de Bases , Peso Corporal/genética , Doença/genética , Estudos de Associação Genética , Genoma/genética , Humanos , Camundongos , Anotação de Sequência Molecular , Dados de Sequência Molecular , Fenótipo , Locos de Características Quantitativas/genética , Estatística como AssuntoRESUMO
MicroRNAs (miRNAs) belong to the heterogeneous class of non-coding RNAs (ncRNAs) that regulate the translation and degradation of target mRNAs, and control approximately 30% of human genes. MiRNA genes might be silenced in human tumors (oncomiRs) by aberrant hypermethylation of CpG islands that encompass or lie adjacent to miRNA genes and/or by histone modifications. We performed literature search for research articles describing epigenetically regulated miRNAs in cancer and identified 45 studies that were published between 2006 and 7/2010. The data from those papers are fragmented and methodologically heterogeneous and our work represents first systematic review towards to integration of diverse sets of information. We reviewed the methods used for detection of miRNA epigenetic regulation, which comprise bisulfite genomic sequencing PCR (BSP), bisulfite pyrosequencing, methylation specific PCR (MSP), combined bisulfite restriction analysis (COBRA), methylation sensitive single nucleotide primer extension (Ms-SNuPE), MassARRAY technique and some modifications of those methods. This integrative study revealed 122 miRNAs that were reported to be epigenetically regulated in 23 cancer types. Compared to protein coding genes, human oncomiRs showed an order of magnitude higher methylation frequency (11.6%; 122/1048 known miRNAs). Nearly half, (45%; 55/122) epigenetically regulated miRNAs were associated with different cancer types, but other 55% (67/122) miRNAs were present in only one cancer type and therefore representing cancer-specific biomarker potential. The data integration revealed miRNA epigenomic hot spots on the chromosomes 1q, 7q, 11q, 14q and 19q. CpG island analysis of corresponding miRNA precursors (pre-miRNAs) revealed that 20% (26/133) of epigenetically regulated miRNAs had a CpG island within the range of 5kb upstream, among them 14% (19/133) of miRNAs resided within the CpG island. Our integrative survey and analyses revealed candidate cancer-specific miRNA epigenetic signatures which provide the basis for new therapeutic strategies in cancer by targeting the epigenetic regulation of miRNAs.