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A knowledge base for the discovery of function, diagnostic potential and drug effects on cellular and extracellular miRNAs

机译:用于发现细胞和细胞外miRNA的功能,诊断潜力和药物作用的知识库

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BackgroundMicroRNAs (miRNAs) are small noncoding RNAs that play an important role in the regulation of various biological processes through their interaction with cellular mRNAs. A significant amount of miRNAs has been found in extracellular human body fluids (e.g. plasma and serum) and some circulating miRNAs in the blood have been successfully revealed as biomarkers for diseases including cardiovascular diseases and cancer. Released miRNAs do not necessarily reflect the abundance of miRNAs in the cell of origin. It is claimed that release of miRNAs from cells into blood and ductal fluids is selective and that the selection of released miRNAs may correlate with malignancy. Moreover, miRNAs play a significant role in pharmacogenomics by down-regulating genes that are important for drug function. In particular, the use of drugs should be taken into consideration while analyzing plasma miRNA levels as drug treatment. This may impair their employment as biomarkers.DescriptionWe enriched our manually curated extracellular/circulating microRNAs database, miRandola, by providing (i) a systematic comparison of expression profiles of cellular and extracellular miRNAs, (ii) a miRNA targets enrichment analysis procedure, (iii) information on drugs and their effect on miRNA expression, obtained by applying a natural language processing algorithm to abstracts obtained from PubMed.ConclusionsThis allows users to improve the knowledge about the function, diagnostic potential, and the drug effects on cellular and circulating miRNAs.
机译:背景MicroRNA(miRNA)是小的非编码RNA,通过与细胞mRNA的相互作用在各种生物过程的调节中起着重要作用。已在细胞外体液(例如血浆和血清)中发现了大量的miRNA,血液中的某些循环miRNA已成功地揭示为包括心血管疾病和癌症在内的疾病的生物标记。释放的miRNA不一定反映起源细胞中miRNA的丰度。据称,miRNA从细胞向血液和导管液的释放是选择性的,释放的miRNA的选择可能与恶性肿瘤有关。此外,miRNA通过下调对药物功能重要的基因在药物基因组学中发挥重要作用。特别是在分析血浆miRNA水平作为药物治疗时,应考虑药物的使用。这可能会削弱其作为生物标记物的作用。描述我们通过提供(i)细胞和细胞外miRNA表达谱的系统比较,(ii)miRNA靶标富集分析程序,丰富了我们手动整理的细胞外/循环microRNA数据库miRandola。 )有关药物及其对miRNA表达的影响的信息,这是通过将自然语言处理算法应用于从PubMed获得的摘要中获得的。结论)这使用户可以提高有关功能,诊断潜力以及药物对细胞和循环miRNA的影响的知识。

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