Literature DB >> 15066187

Managing the genome: microRNAs in Drosophila.

Viola Gesellchen1, Michael Boutros.   

Abstract

MicroRNAs (miRNAs) represent a growing class of short non-coding RNAs that regulate gene expression by post-transcriptional mechanisms. By binding to target mRNAs via stretches of sequence complementarity, microRNAs inhibit the production of target proteins or induce degradation of mRNAs. Several hundred miRNAs have recently been predicted and cloned from eukaryotic organisms as diverse as plants, invertebrates, and vertebrates. Some miRNAs were shown to be widely conserved across phyla. However, except in a few described cases, rather little is known about their endogenous target genes and the physiological pathways they impinge on. Invertebrate model organisms such as C. elegans and Drosophila have been instrumental to develop methods and to dissect biological roles of miRNAs. In this review, we will focus on recent progress in characterizing miRNAs and steps toward identification of target genes in Drosophila. Many of these recent experiments provide evidence that a systematic target discovery is feasible and that the biology of miRNAs can be functionally explored using forward and reverse genetic tools.

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Year:  2004        PMID: 15066187     DOI: 10.1111/j.1432-0436.2004.07202003.x

Source DB:  PubMed          Journal:  Differentiation        ISSN: 0301-4681            Impact factor:   3.880


  5 in total

Review 1.  On the origin and functions of RNA-mediated silencing: from protists to man.

Authors:  Heriberto Cerutti; J Armando Casas-Mollano
Journal:  Curr Genet       Date:  2006-05-12       Impact factor: 3.886

Review 2.  The Nematode Caenorhabditis elegans as a Model Organism to Study Metabolic Effects of ω-3 Polyunsaturated Fatty Acids in Obesity.

Authors:  Amal Bouyanfif; Shasika Jayarathne; Iurii Koboziev; Naima Moustaid-Moussa
Journal:  Adv Nutr       Date:  2019-01-01       Impact factor: 8.701

3.  Circadian regulation of a limited set of conserved microRNAs in Drosophila.

Authors:  Maocheng Yang; Jung-Eun Lee; Richard W Padgett; Isaac Edery
Journal:  BMC Genomics       Date:  2008-02-19       Impact factor: 3.969

4.  MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.

Authors:  Peng Jiang; Haonan Wu; Wenkai Wang; Wei Ma; Xiao Sun; Zuhong Lu
Journal:  Nucleic Acids Res       Date:  2007-06-06       Impact factor: 16.971

Review 5.  The microRNA (miRNA): overview of the RNA genes that modulate gene function.

Authors:  Shao-Yao Ying; Donald C Chang; Shi-Lung Lin
Journal:  Mol Biotechnol       Date:  2007-11-13       Impact factor: 2.695

  5 in total

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