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| As a service to the research community, Genome Biology used to publish non-peer-reviewed articles in a 'preprint' depository to which any research can be submitted and which all individuals can access free of charge.From January 2006 Genome Biology no longer publishes new articles in this section. Any article could be submitted by authors, who have sole responsibility for the article's content. The only screening process is to ensure relevance of the preprint to Genome Biology's scope and to avoid abusive, libellous or indecent articles. Articles in this section of the journal have not been peer-reviewed. Each preprint has a permanent URL, by which it can be cited. Research submitted to the preprint depository may be simultaneously or subsequently submitted to Genome Biology or any other publication for peer review; the only requirement is an explicit citation of, and link to, the preprint in the article that is eventually published. If possible, Genome Biology will provide a reciprocal link from the preprint depository to the published article.![]() Deposited research article MicroRNA Targets in Drosophila1Computational Biology Center, Memorial Sloane Kettering Cancer Center, 1275 York Avenue. New York, NY 10021, USA 2Developmental Neurogenetics, Rockefeller University, 1230 York Avenue, New York, NY 10021, USA 3RNA Molecular Biology, Rockefeller University, 1230 York Avenue, New York, NY 10021, USA 4Columbia Genome Center, Columbia University, Russ Berrie Pavilion, 1150 St. Nicholas Avenue, New York, NY 10032, USA
Genome Biology 2003, 4:P8doi:10.1186/gb-2003-4-11-p8 This was the first version of this article to be made available publicly. A peer-reviewed and modified version is now available in full at http://genomebiology.com/2003/5/1/R1 Subject areas: Genome studies, Molecular biology, Development, Model organisms, Methods The electronic version of this article is the complete one and can be found online at: http://genomebiology.com/2003/4/11/P8
© 2003 BioMed Central Ltd AbstractThe recent discoveries of microRNAs (miRNAs) and characterization of the first few targets of their gene products in Caenorhabditis elegans and Drosophila melanogaster have set the stage for elucidation of a novel network of regulatory control. Here, we present a novel three-step method for whole-genome prediction of miRNA target genes, validated using known examples. We apply the method to discover hundreds of potential target genes in D. melanogaster. For each miRNA, target genes are selected based on (a) pattern of sequence complementarity using a position-weighted local alignment algorithm, (b) energy calculation of RNA-RNA duplex formation, and (c) conservation of target sites in related genomes. Application to the D. melanogaster, D pseudoobscura and Anopheles gambiae genomes in this manner, identifies several hundred target genes potentially regulated by one or more known miRNAs. These potential targets are enriched for genes that are expressed at specific developmental stages and are involved in cell fate specification, morphogenesis and the coordination of developmental processes, as well as the function of the nervous system in the mature organism. High-ranking targets are two-fold enriched in transcription factors and include genes already known to be under translational regulation. Our results reaffirm the thesis that miRNAs play an important role in establishing the complex spatial and temporal patterns of gene activity necessary for the orderly progression of development and point to additional roles in the function of the mature organism. The emerging combinatorics of miRNA target sites in the 3' UTRs of messenger RNAs are reminiscent of transcriptional regulation in promoter regions of DNA, with both one-to-many and many-to-one relationships between regulator and regulated target. Typically, more than one miRNA regulates one message, indicative of cooperative control of translation. Conversely, one miRNAs may have several targets, reflecting target multiplicity. As a guide to targeted experiments, we provide detailed online information [1] about target genes and binding sites for each miRNA and about miRNAs for each gene, ranked by likelihood of match. The target prediction tool can be applied to any similar pair of genomes with identified miRNA sequences. Additional data filesAdditional data file 1, 2, 3 and 4. Additional data file 1. Additional data file 1 Format: PDF Size: 19KB Download file This file can be viewed with: Adobe Acrobat Reader Additional data file 2. Additional data file 2 Format: PDF Size: 76KB Download file This file can be viewed with: Adobe Acrobat Reader Additional data file 3. Additional data file 3 Format: XLS Size: 108KB Download file This file can be viewed with: Microsoft Excel Viewer Additional data file 4. Additional data file 4 Format: XLS Size: 735KB Download file This file can be viewed with: Microsoft Excel Viewer Have something to say? Post a comment on this article! |


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