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miRWalk - Database: Prediction of possible miRNA binding sites by walking the genes of three genomes

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TLDR
The miRWalk database as mentioned in this paper is a comprehensive database on miRNAs, which hosts predicted as well as validated miRNA binding sites, information on all known genes of human, mouse and rat.
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This article is published in Journal of Biomedical Informatics.The article was published on 2011-10-01 and is currently open access. It has received 1603 citations till now. The article focuses on the topics: MiRNA binding & Untranslated region.

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Prognostic value of circulating microRNAs in upper tract urinary carcinoma.

TL;DR: Although the data needs to be externally validated, miRNA analysis in serum appears to be a valuable prognostic tool in UTUC patients, particularly, differential expression of miR-151b in serum may serve as a minimally invasive prognostictool inUTUC.
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Characterization of micro-RNA Profile in the Blood of Patients with Marfan's Syndrome.

TL;DR: The altered abundance level of different miRNAs in whole blood of MFS patients lays the ground to the development of novel diagnostic approaches with altered mi RNAs levels associated with MFS with manifestations associated with cardiovascular diseases.
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Deletion Extents Are Not the Cause of Clinical Variability in 22q11.2 Deletion Syndrome: Does the Interaction between DGCR8 and miRNA-CNVs Play a Major Role?

TL;DR: CNVs and miRNAs are new entities that have changed the order of complexity at the level of gene expression and regulation, thus CNV-miRNAs (miRNA harbored in the CNVs) are potential functional variants that should be considered high priority candidate variants in genotype-phenotype association studies.
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Identfication of key miRNAs in pancreatitis using bioinformatics analysis of microarray data.

TL;DR: The present study aimed to identify pancreatitis-associated microRNAs (miRNAs) by analyzing the microarray of GSE24279, and found that cyclin D1, v-akt murine thymoma viral oncogene homolog 2 (AKT2), cyclin-dependent kinase 6 (CDK6) and SMAD family member 2 (SMAD2) were involved in the pathway of pancreatic cancer.
References
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MicroRNAs: Genomics, Biogenesis, Mechanism, and Function

TL;DR: Although they escaped notice until relatively recently, miRNAs comprise one of the more abundant classes of gene regulatory molecules in multicellular organisms and likely influence the output of many protein-coding genes.
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The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14

TL;DR: Two small lin-4 transcripts of approximately 22 and 61 nt were identified in C. elegans and found to contain sequences complementary to a repeated sequence element in the 3' untranslated region (UTR) of lin-14 mRNA, suggesting that lin- 4 regulates lin- 14 translation via an antisense RNA-RNA interaction.
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Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets

TL;DR: In a four-genome analysis of 3' UTRs, approximately 13,000 regulatory relationships were detected above the estimate of false-positive predictions, thereby implicating as miRNA targets more than 5300 human genes, which represented 30% of the gene set.
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MicroRNA expression profiles classify human cancers

TL;DR: A new, bead-based flow cytometric miRNA expression profiling method is used to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers, and finds the miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours.
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Prediction of Mammalian MicroRNA Targets

TL;DR: The predicted regulatory targets of mammalian miRNAs were enriched for genes involved in transcriptional regulation but also encompassed an unexpectedly broad range of other functions.
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