2006
DOI: 10.1093/nar/gkj093
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Argonaute--a database for gene regulation by mammalian microRNAs

Abstract: MicroRNAs (miRNAs) constitute a recently discovered class of small non-coding RNAs that regulate expression of target genes either by decreasing the stability of the target mRNA or by translational inhibition. They are involved in diverse processes, including cellular differentiation, proliferation and apoptosis. Recent evidence also suggests their importance for cancerogenesis. By far the most important model systems in cancer research are mammalian organisms. Thus, we decided to compile comprehensive informa… Show more

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Cited by 73 publications
(40 citation statements)
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“…The miR 143 and miR 145 were also induced in bystander cells. The miR 143 regulates connective tissue growth factor and its expression correlates with adipocyte differentiation and carcinogenesis [44]. Altered expression of miR 145 and miR 155 was detected in lung cancers [45].…”
Section: Discussionmentioning
confidence: 99%
“…The miR 143 and miR 145 were also induced in bystander cells. The miR 143 regulates connective tissue growth factor and its expression correlates with adipocyte differentiation and carcinogenesis [44]. Altered expression of miR 145 and miR 155 was detected in lung cancers [45].…”
Section: Discussionmentioning
confidence: 99%
“…Separate core analyses were performed using microRNA and total mRNA datasets. The miRWalk (previously known as Argonuate) algorithm was used to predict the association of microRNAs with gene targets (63). Molecules from each dataset that met the 1.5-fold change cut-off and were associated with biological functions and/or diseases in the Ingenuity's Knowledge Base were used to generate networks.…”
Section: Computational Analysesmentioning
confidence: 99%
“…TarBase has a main focus of collecting and presenting experimentally validated miRNA targets (Sethupathy et al 2006). More comprehensive databases have also been developed recently, attempting to integrate target prediction results with other functional annotations (Hsu et al 2006;Shahi et al 2006;Chiromatzo et al 2007;Megraw et al 2007;Nam et al 2008). These databases usually include data from miRBase for miRNA sequences and Here, we describe a new database, which we called miRDB, for miRNA target prediction and functional annotation.…”
Section: Introductionmentioning
confidence: 99%