Literature DB >> 12769849

Computational and experimental identification of C. elegans microRNAs.

Yonatan Grad1, John Aach, Gabriel D Hayes, Brenda J Reinhart, George M Church, Gary Ruvkun, John Kim.   

Abstract

MicroRNAs (miRNAs) constitute an extensive class of noncoding RNAs that are thought to regulate the expression of target genes via complementary base-pair interactions. To date, cloning has identified over 200 miRNAs from diverse eukaryotic organisms. Despite their success, such biochemical approaches are skewed toward identifying abundant miRNAs, unlike genome-wide, sequence-based computational predictions. We developed informatic methods to predict miRNAs in the C. elegans genome using sequence conservation and structural similarity to known miRNAs and generated 214 candidates. We confirmed the expression of four new miRNAs by Northern blotting and used a more sensitive PCR approach to verify the expression of ten additional candidates. Based on hypotheses underlying our computational methods, we estimate that the C. elegans genome may encode between 140 and 300 miRNAs and potentially many more.

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Year:  2003        PMID: 12769849     DOI: 10.1016/s1097-2765(03)00153-9

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  111 in total

1.  Identification of many microRNAs that copurify with polyribosomes in mammalian neurons.

Authors:  John Kim; Anna Krichevsky; Yonatan Grad; Gabriel D Hayes; Kenneth S Kosik; George M Church; Gary Ruvkun
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-22       Impact factor: 11.205

Review 2.  RNA interference: biology, mechanism, and applications.

Authors:  Neema Agrawal; P V N Dasaradhi; Asif Mohmmed; Pawan Malhotra; Raj K Bhatnagar; Sunil K Mukherjee
Journal:  Microbiol Mol Biol Rev       Date:  2003-12       Impact factor: 11.056

3.  The microRNA Registry.

Authors:  Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  Trans-splicing and polyadenylation of let-7 microRNA primary transcripts.

Authors:  John Bracht; Shaun Hunter; Rachel Eachus; Phillip Weeks; Amy E Pasquinelli
Journal:  RNA       Date:  2004-08-30       Impact factor: 4.942

Review 5.  Optimizing RNA interference for application in mammalian cells.

Authors:  René H Medema
Journal:  Biochem J       Date:  2004-06-15       Impact factor: 3.857

6.  A high-throughput method to monitor the expression of microRNA precursors.

Authors:  Thomas D Schmittgen; Jinmai Jiang; Qian Liu; Liuqing Yang
Journal:  Nucleic Acids Res       Date:  2004-02-25       Impact factor: 16.971

7.  Sequence-specific inhibition of microRNA- and siRNA-induced RNA silencing.

Authors:  Gunter Meister; Markus Landthaler; Yair Dorsett; Thomas Tuschl
Journal:  RNA       Date:  2004-03       Impact factor: 4.942

Review 8.  Genome-wide approaches in the study of microRNA biology.

Authors:  Melissa L Wilbert; Gene W Yeo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-12-31

9.  Evolution, biogenesis, expression, and target predictions of a substantially expanded set of Drosophila microRNAs.

Authors:  J Graham Ruby; Alexander Stark; Wendy K Johnston; Manolis Kellis; David P Bartel; Eric C Lai
Journal:  Genome Res       Date:  2007-11-07       Impact factor: 9.043

10.  Malate dehydrogenase is negatively regulated by miR-1 in Trichomonas vaginalis.

Authors:  Wei-Chen Lin; Kuo-Yang Huang; Shih-Chieh Chen; Ting-Yun Huang; Shu-Jen Chen; Po-Jung Huang; Petrus Tang
Journal:  Parasitol Res       Date:  2009-09-24       Impact factor: 2.289

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