Literature DB >> 18641957

An overview of the identification, detection, and functional analysis of Drosophila microRNAs.

Nicholas S Sokol1.   

Abstract

MicroRNAs (miRNAs), small noncoding RNAs that post-transcriptionally regulate gene expression, are one of the most abundant classes of gene regulators. Yet, little is known about the roles that specific miRNAs play in the development of multicellular organisms. Drosophila provides an excellent model system to explore the in vivo activities of particular miRNAs within the context of well-defined gene-expression programs that control the development of a complex organism. This chapter reviews the various approaches currently used to identify Drosophila miRNAs, detect their expression, determine their messenger RNA targets, and study their function.

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Year:  2008        PMID: 18641957     DOI: 10.1007/978-1-59745-583-1_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Co-activation of microRNAs by Zelda is essential for early Drosophila development.

Authors:  Shengbo Fu; Chung-Yi Nien; Hsiao-Lan Liang; Christine Rushlow
Journal:  Development       Date:  2014-04-24       Impact factor: 6.868

2.  Viability, longevity, and egg production of Drosophila melanogaster are regulated by the miR-282 microRNA.

Authors:  Péter Vilmos; Agnes Bujna; Milán Szuperák; Zoltán Havelda; Éva Várallyay; János Szabad; Lucie Kucerova; Kálmán Somogyi; Ildikó Kristó; Tamás Lukácsovich; Ferenc Jankovics; László Henn; Miklós Erdélyi
Journal:  Genetics       Date:  2013-07-12       Impact factor: 4.562

3.  Selection and Evaluation of Reference Genes for miRNA Expression Analysis in Bemisia tabaci Under Insecticide Tolerance.

Authors:  Qinghe Zhang; Bingli Gao; Cheng Qu; Chen Luo; Jinda Wang; Ran Wang
Journal:  Front Genet       Date:  2022-05-13       Impact factor: 4.772

4.  Improving performance of mammalian microRNA target prediction.

Authors:  Hui Liu; Dong Yue; Yidong Chen; Shou-Jiang Gao; Yufei Huang
Journal:  BMC Bioinformatics       Date:  2010-09-22       Impact factor: 3.169

5.  A Bayesian approach for identifying miRNA targets by combining sequence prediction and gene expression profiling.

Authors:  Hui Liu; Dong Yue; Lin Zhang; Yidong Chen; Shou-Jiang Gao; Yufei Huang
Journal:  BMC Genomics       Date:  2010-12-01       Impact factor: 3.969

  5 in total

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