Literature DB >> 16230613

Human microRNAs target a functionally distinct population of genes with AT-rich 3' UTRs.

Harlan Robins1, William H Press.   

Abstract

While investigating microRNA targets, we have found that human genes divide into two roughly equal populations, based on the fraction of A plus T bases in their 3' UTRs. Using the Gene Ontology database, we find significant functional differences between the two gene populations, with AT-rich genes implicated in transcription and translation processes, and GC-rich genes implicated in signal transduction and posttranslational protein modification. Better understanding of the background distribution of nucleotides in 3' UTRs may allow improved prediction of microRNA-targeted genes in humans. We predict at least 1,200 KnownGene transcripts to be regulated by microRNAs. The large majority of these microRNA targets are in the AT-rich 3' UTR population. However, notwithstanding this preference for AT-rich targets, microRNA targets are found preferentially to be regulatory genes themselves, including both transcription factors and posttranslational modifiers. These results suggest that some processes involving mRNA, of which microRNA regulation may be just one, require AT-richness of 3' UTRs for functionality. A relationship, not simply one-to-one, between these 3' UTR populations and large-scale genomic isochores is described.

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Year:  2005        PMID: 16230613      PMCID: PMC1257391          DOI: 10.1073/pnas.0507443102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  17 in total

Review 1.  Isochores and the evolutionary genomics of vertebrates.

Authors:  G Bernardi
Journal:  Gene       Date:  2000-01-04       Impact factor: 3.688

Review 2.  MicroRNAs: genomics, biogenesis, mechanism, and function.

Authors:  David P Bartel
Journal:  Cell       Date:  2004-01-23       Impact factor: 41.582

3.  The Gene Ontology (GO) database and informatics resource.

Authors:  M A Harris; J Clark; A Ireland; J Lomax; M Ashburner; R Foulger; K Eilbeck; S Lewis; B Marshall; C Mungall; J Richter; G M Rubin; J A Blake; C Bult; M Dolan; H Drabkin; J T Eppig; D P Hill; L Ni; M Ringwald; R Balakrishnan; J M Cherry; K R Christie; M C Costanzo; S S Dwight; S Engel; D G Fisk; J E Hirschman; E L Hong; R S Nash; A Sethuraman; C L Theesfeld; D Botstein; K Dolinski; B Feierbach; T Berardini; S Mundodi; S Y Rhee; R Apweiler; D Barrell; E Camon; E Dimmer; V Lee; R Chisholm; P Gaudet; W Kibbe; R Kishore; E M Schwarz; P Sternberg; M Gwinn; L Hannick; J Wortman; M Berriman; V Wood; N de la Cruz; P Tonellato; P Jaiswal; T Seigfried; R White
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  The UCSC Genome Browser Database.

Authors:  D Karolchik; R Baertsch; M Diekhans; T S Furey; A Hinrichs; Y T Lu; K M Roskin; M Schwartz; C W Sugnet; D J Thomas; R J Weber; D Haussler; W J Kent
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

Review 5.  The functions of animal microRNAs.

Authors:  Victor Ambros
Journal:  Nature       Date:  2004-09-16       Impact factor: 49.962

6.  Specificity of microRNA target selection in translational repression.

Authors:  John G Doench; Phillip A Sharp
Journal:  Genes Dev       Date:  2004-03-10       Impact factor: 11.361

7.  MicroRNA-dependent localization of targeted mRNAs to mammalian P-bodies.

Authors:  Jidong Liu; Marco Antonio Valencia-Sanchez; Gregory J Hannon; Roy Parker
Journal:  Nat Cell Biol       Date:  2005-06-05       Impact factor: 28.824

8.  Isochores and tissue-specificity.

Authors:  Alexander E Vinogradov
Journal:  Nucleic Acids Res       Date:  2003-09-01       Impact factor: 16.971

9.  The mosaic genome of warm-blooded vertebrates.

Authors:  G Bernardi; B Olofsson; J Filipski; M Zerial; J Salinas; G Cuny; M Meunier-Rotival; F Rodier
Journal:  Science       Date:  1985-05-24       Impact factor: 47.728

10.  Prediction of mammalian microRNA targets.

Authors:  Benjamin P Lewis; I-hung Shih; Matthew W Jones-Rhoades; David P Bartel; Christopher B Burge
Journal:  Cell       Date:  2003-12-26       Impact factor: 41.582

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  39 in total

Review 1.  MicroRNAs and genomic instability.

Authors:  Konrad Huppi; Natalia Volfovsky; Mark Mackiewicz; Timothy Runfola; Tamara L Jones; Scott E Martin; Robert Stephens; Natasha J Caplen
Journal:  Semin Cancer Biol       Date:  2006-10-26       Impact factor: 15.707

2.  Isochores exhibit evidence of genes interacting with the large-scale genomic environment.

Authors:  William H Press; Harlan Robins
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

3.  Climbing fibers induce microRNA transcription in cerebellar Purkinje cells.

Authors:  N H Barmack; Z Qian; V Yakhnitsa
Journal:  Neuroscience       Date:  2010-09-25       Impact factor: 3.590

4.  Evidence of spatially bound gene regulation in Mus musculus: decreased gene expression proximal to microRNA genomic location.

Authors:  Hidenori Inaoka; Yutaka Fukuoka; Isaac S Kohane
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-12       Impact factor: 11.205

5.  MicroRNA targeting specificity in mammals: determinants beyond seed pairing.

Authors:  Andrew Grimson; Kyle Kai-How Farh; Wendy K Johnston; Philip Garrett-Engele; Lee P Lim; David P Bartel
Journal:  Mol Cell       Date:  2007-07-06       Impact factor: 17.970

6.  Searching for potential microRNA-binding site mutations amongst known disease-associated 3' UTR variants.

Authors:  Nadia Chuzhanova; David N Cooper; Claude Férec; Jian-Min Chen
Journal:  Genomic Med       Date:  2007-01-30

7.  Suppression of immediate-early viral gene expression by herpesvirus-coded microRNAs: implications for latency.

Authors:  Eain Murphy; Jirí Vanícek; Harlan Robins; Thomas Shenk; Arnold J Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-31       Impact factor: 11.205

8.  Relative contribution of sequence and structure features to the mRNA binding of Argonaute/EIF2C-miRNA complexes and the degradation of miRNA targets.

Authors:  Jean Hausser; Markus Landthaler; Lukasz Jaskiewicz; Dimos Gaidatzis; Mihaela Zavolan
Journal:  Genome Res       Date:  2009-09-18       Impact factor: 9.043

9.  MicroRNA transfection and AGO-bound CLIP-seq data sets reveal distinct determinants of miRNA action.

Authors:  Jiayu Wen; Brian J Parker; Anders Jacobsen; Anders Krogh
Journal:  RNA       Date:  2011-03-09       Impact factor: 4.942

10.  TargetSpy: a supervised machine learning approach for microRNA target prediction.

Authors:  Martin Sturm; Michael Hackenberg; David Langenberger; Dmitrij Frishman
Journal:  BMC Bioinformatics       Date:  2010-05-28       Impact factor: 3.169

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