Conserved Seed Pairing, Often Flanked by Adenosines, Indicates that Thousands of Human Genes are MicroRNA Targets

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Conserved Seed Pairing, Often Flanked by Adenosines, Indicates that Thousands of Human Genes are MicroRNA Targets

We predict regulatory targets of vertebrate microRNAs (miRNAs) by identifying mRNAs with conserved complementarity to the seed (nucleotides 2-7) of the miRNA. An overrepresentation of conserved adenosines flanking the seed complementary sites in mRNAs indicates that primary sequence determinants can supplement base pairing to specify miRNA target recognition. In a four-genome analysis of 3' UTR...

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Conserved Expression Patterns Predict microRNA Targets

microRNAs (miRNAs) are major regulators of gene expression and thereby modulate many biological processes. Computational methods have been instrumental in understanding how miRNAs bind to mRNAs to induce their repression but have proven inaccurate. Here we describe a novel method that combines expression data from human and mouse to discover conserved patterns of expression between orthologous ...

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MicroRNA targeting specificity in mammals: determinants beyond seed pairing.

Mammalian microRNAs (miRNAs) pair to 3'UTRs of mRNAs to direct their posttranscriptional repression. Important for target recognition are approximately 7 nt sites that match the seed region of the miRNA. However, these seed matches are not always sufficient for repression, indicating that other characteristics help specify targeting. By combining computational and experimental approaches, we un...

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Correction: Human MicroRNA Targets

We incorrectly named the products of two genes, gamma actin and betaAPP, as FMRP ligands because of a misreading of Table 1 from [1]. BetaAPP is incorrectly referred to as an FMRP ligand in Tables 2 and S9, gamma actin in Table S9 only. This does not change the use of FMRP binding as a way to support the target predictions, as the statistics remain virtually the same; the enrichment of FMRP tar...

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ژورنال

عنوان ژورنال: Cell

سال: 2005

ISSN: 0092-8674

DOI: 10.1016/j.cell.2004.12.035