Literature DB >> 24827614

MicroRNA binding sites in C. elegans 3' UTRs.

Chaochun Liu1, William A Rennie1, Bibekanand Mallick1, Shaveta Kanoria1, Dang Long1, Adam Wolenc1, C Steven Carmack1, Ye Ding1.   

Abstract

MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression. Since the discovery of lin-4, the founding member of the miRNA family, over 360 miRNAs have been identified for Caenorhabditis elegans (C. elegans). Prediction and validation of targets are essential for elucidation of regulatory functions of these miRNAs. For C. elegans, crosslinking immunoprecipitation (CLIP) has been successfully performed for the identification of target mRNA sequences bound by Argonaute protein ALG-1. In addition, reliable annotation of the 3' untranslated regions (3' UTRs) as well as developmental stage-specific expression profiles for both miRNAs and 3' UTR isoforms are available. By utilizing these data, we developed statistical models and bioinformatics tools for both transcriptome-scale and developmental stage-specific predictions of miRNA binding sites in C. elegans 3' UTRs. In performance evaluation via cross validation on the ALG-1 CLIP data, the models were found to offer major improvements over established algorithms for predicting both seed sites and seedless sites. In particular, our top-ranked predictions have a substantially higher true positive rate, suggesting a much higher likelihood of positive experimental validation. A gene ontology analysis of stage-specific predictions suggests that miRNAs are involved in dynamic regulation of biological functions during C. elegans development. In particular, miRNAs preferentially target genes related to development, cell cycle, trafficking, and cell signaling processes. A database for both transcriptome-scale and stage-specific predictions and software for implementing the prediction models are available through the Sfold web server at http://sfold.wadsworth.org.

Entities:  

Keywords:  GO analysis; developmental stage; microRNA; prediction; target binding site

Mesh:

Substances:

Year:  2014        PMID: 24827614      PMCID: PMC4156501          DOI: 10.4161/rna.28868

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


  41 in total

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5.  A bulged lin-4/lin-14 RNA duplex is sufficient for Caenorhabditis elegans lin-14 temporal gradient formation.

Authors:  I Ha; B Wightman; G Ruvkun
Journal:  Genes Dev       Date:  1996-12-01       Impact factor: 11.361

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7.  The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14.

Authors:  R C Lee; R L Feinbaum; V Ambros
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Authors:  Anton J Enright; Bino John; Ulrike Gaul; Thomas Tuschl; Chris Sander; Debora S Marks
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9.  CLIP-based prediction of mammalian microRNA binding sites.

Authors:  Chaochun Liu; Bibekanand Mallick; Dang Long; William A Rennie; Adam Wolenc; C Steven Carmack; Ye Ding
Journal:  Nucleic Acids Res       Date:  2013-05-22       Impact factor: 16.971

10.  STarMir: a web server for prediction of microRNA binding sites.

Authors:  William Rennie; Chaochun Liu; C Steven Carmack; Adam Wolenc; Shaveta Kanoria; Jun Lu; Dang Long; Ye Ding
Journal:  Nucleic Acids Res       Date:  2014-05-06       Impact factor: 16.971

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  5 in total

1.  STarMir Tools for Prediction of microRNA Binding Sites.

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3.  Characterization of the mammalian miRNA turnover landscape.

Authors:  Yanwen Guo; Jun Liu; Sarah J Elfenbein; Yinghong Ma; Mei Zhong; Caihong Qiu; Ye Ding; Jun Lu
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4.  STarMir: a web server for prediction of microRNA binding sites.

Authors:  William Rennie; Chaochun Liu; C Steven Carmack; Adam Wolenc; Shaveta Kanoria; Jun Lu; Dang Long; Ye Ding
Journal:  Nucleic Acids Res       Date:  2014-05-06       Impact factor: 16.971

5.  STarMirDB: A database of microRNA binding sites.

Authors:  William Rennie; Shaveta Kanoria; Chaochun Liu; Bibekanand Mallick; Dang Long; Adam Wolenc; C Steven Carmack; Jun Lu; Ye Ding
Journal:  RNA Biol       Date:  2016-06-02       Impact factor: 4.652

  5 in total

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