Literature DB >> 24639172

MicroRNA target finding by comparative genomics.

Robin C Friedman1, Christopher B Burge.   

Abstract

MicroRNAs (miRNAs) have been implicated in virtually every metazoan biological process, exerting a widespread impact on gene expression. MicroRNA repression is conferred by relatively short "seed match" sequences, although the degree of repression varies widely for individual target sites. The factors controlling whether, and to what extent, a target site is repressed are not fully understood. As an alternative to target prediction based on sequence alone, comparative genomics has emerged as an invaluable tool for identifying miRNA targets that are conserved by natural selection, and hence likely effective and important. Here we present a general method for quantifying conservation of miRNA seed match sites, separating it from background conservation, controlling for various biases, and predicting miRNA targets. This method is useful not only for generating predictions but also as a tool for empirically evaluating the importance of various target prediction criteria.

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Year:  2014        PMID: 24639172     DOI: 10.1007/978-1-62703-709-9_21

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


  8 in total

1.  Density-Dependent Regulation of Glioma Cell Proliferation and Invasion Mediated by miR-9.

Authors:  Mark Katakowski; Nicholas Charteris; Michael Chopp; Evgeniy Khain
Journal:  Cancer Microenviron       Date:  2016-12-14

2.  MiR-29c inhibits HCV replication via activation of type I IFN response by targeting STAT3 in JFH-1-infected Huh7 cells.

Authors:  Yanjing Wang; Yuanyuan Li
Journal:  RSC Adv       Date:  2018-02-20       Impact factor: 4.036

3.  microRNA target prediction programs predict many false positives.

Authors:  Natalia Pinzón; Blaise Li; Laura Martinez; Anna Sergeeva; Jessy Presumey; Florence Apparailly; Hervé Seitz
Journal:  Genome Res       Date:  2016-11-15       Impact factor: 9.043

4.  The protective value of miR-204-5p for prognosis and its potential gene network in various malignancies: a comprehensive exploration based on RNA-seq high-throughput data and bioinformatics.

Authors:  Zhi-Hua Ye; Dong-Yue Wen; Xiao-Yong Cai; Liang Liang; Pei-Rong Wu; Hui Qin; Hong Yang; Yun He; Gang Chen
Journal:  Oncotarget       Date:  2017-10-23

5.  MiR-142 inhibits the development of cervical cancer by targeting HMGB1.

Authors:  Daqiong Jiang; Huiyan Wang; Zhuyan Li; Zhen Li; Xin Chen; Hongbing Cai
Journal:  Oncotarget       Date:  2017-01-17

6.  miRNAome expression profiles in the gonads of adult Melopsittacus undulatus.

Authors:  Lan Jiang; Qingqing Wang; Jue Yu; Vinita Gowda; Gabriel Johnson; Jianke Yang; Xianzhao Kan; Xiaojun Yang
Journal:  PeerJ       Date:  2018-04-09       Impact factor: 2.984

Review 7.  The Biological Function of MicroRNAs in Bone Tumors.

Authors:  Sarah Adriana Scuderi; Giovanna Calabrese; Irene Paterniti; Michela Campolo; Marika Lanza; Anna Paola Capra; Luca Pantaleo; Stefania Munaò; Lorenzo Colarossi; Stefano Forte; Salvatore Cuzzocrea; Emanuela Esposito
Journal:  Int J Mol Sci       Date:  2022-02-21       Impact factor: 5.923

8.  MicroRNA-133 Targets Phosphodiesterase 1C in Drosophila and Human Oral Cancer Cells to Regulate Epithelial-Mesenchymal Transition.

Authors:  Ji Eun Jung; Joo Young Lee; Hae Ryoun Park; Ji Wan Kang; Yun Hak Kim; Ji Hye Lee
Journal:  J Cancer       Date:  2021-07-03       Impact factor: 4.207

  8 in total

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