Home LiteratureArticle Details
PMID: 19767416 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

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

Genome research ·Vol. 19 ·No. 11 ·2009-11-00 ·Pages 2009-20

Hausser J, Landthaler M, Jaskiewicz L, Gaidatzis D, Zavolan M

Abstract

How miRNAs recognize their target sites is a puzzle that many experimental and computational studies aimed to solve. Several features, such as perfect pairing of the miRNA seed, additional pairing in the 3' region of the miRNA, relative position in the 3' UTR, and the A/U content of the environment of the putative site, have been found to be relevant. Here we have used a large number of previously published data sets to assess the power that various sequence and structure features have in distinguishing between putative sites that do and those that do not appear to be functional. We found that although different data sets give widely different answers when it comes to ranking the relative importance of these features, the sites inferred from most transcriptomics experiments, as well as from comparative genomics, appear similar at this level. This suggests that miRNA target sites have been selected in evolution on their ability to trigger mRNA degradation. To understand at what step in the miRNA-induced response individual features play a role, we transfected human HEK293 cells with miRNAs and analyzed the association of Argonaute/EIF2C-miRNA complexes with target mRNAs and the degradation of these messages. We found that structural features of the target site are only important for Argonaute/EIF2C binding, while sequence features such as the A/U content of the 3' UTR are important for mRNA degradation.

MeSH Terms
3' Untranslated Regions/genetics Argonaute Proteins Binding Sites/genetics Cell Line Cluster Analysis Databases, Genetic Eukaryotic Initiation Factors/genetics Gene Expression Profiling Humans MicroRNAs/chemistry,genetics,metabolism Nucleic Acid Conformation RNA, Messenger/chemistry,genetics,metabolism Transcription, Genetic Transfection
Chemicals
3' Untranslated Regions AGO1 protein, human Argonaute Proteins Eukaryotic Initiation Factors MicroRNAs RNA, Messenger
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Hausser Jean
Biozentrum, University of Basel and Swiss Institute of Bioinformatics, CH-4056 Basel, Switzerland.
Landthaler Markus
Jaskiewicz Lukasz
Gaidatzis Dimos
Zavolan Mihaela
References (42)
42 references, click to expand
  1. MicroRNA targeting specificity in mammals: determinants beyond seed pairing.
    Mol Cell. 2007 Jul 6;27(1):91-105 PMID: 17612493
  2. Silencing of microRNAs in vivo with 'antagomirs'.
    Nature. 2005 Dec 1;438(7068):685-9 PMID: 16258535
  3. Molecular characterization of human Argonaute-containing ribonucleoprotein complexes and their bound target mRNAs.
    RNA. 2008 Dec;14(12):2580-96 PMID: 18978028
  4. Widespread changes in protein synthesis induced by microRNAs.
    Nature. 2008 Sep 4;455(7209):58-63 PMID: 18668040
  5. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets.
    Cell. 2005 Jan 14;120(1):15-20 PMID: 15652477
  6. Spatial preferences of microRNA targets in 3' untranslated regions.
    BMC Genomics. 2007 Jun 07;8:152 PMID: 17555584
  7. Animal MicroRNAs confer robustness to gene expression and have a significant impact on 3'UTR evolution.
    Cell. 2005 Dec 16;123(6):1133-46 PMID: 16337999
  8. Potent effect of target structure on microRNA function.
    Nat Struct Mol Biol. 2007 Apr;14(4):287-94 PMID: 17401373
  9. mirWIP: microRNA target prediction based on microRNA-containing ribonucleoprotein-enriched transcripts.
    Nat Methods. 2008 Sep;5(9):813-9 PMID: 19160516
  10. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs.
    Nature. 2005 Feb 17;433(7027):769-73 PMID: 15685193
  11. A biochemical approach to identifying microRNA targets.
    Proc Natl Acad Sci U S A. 2007 Dec 4;104(49):19291-6 PMID: 18042700
  12. RNA-binding protein Dnd1 inhibits microRNA access to target mRNA.
    Cell. 2007 Dec 28;131(7):1273-86 PMID: 18155131
  13. Human Argonaute2 mediates RNA cleavage targeted by miRNAs and siRNAs.
    Mol Cell. 2004 Jul 23;15(2):185-97 PMID: 15260970
  14. The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans.
    Nature. 2000 Feb 24;403(6772):901-6 PMID: 10706289
  15. Dysregulation of cardiogenesis, cardiac conduction, and cell cycle in mice lacking miRNA-1-2.
    Cell. 2007 Apr 20;129(2):303-17 PMID: 17397913
  16. Human microRNAs target a functionally distinct population of genes with AT-rich 3' UTRs.
    Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15557-62 PMID: 16230613
  17. Transcripts targeted by the microRNA-16 family cooperatively regulate cell cycle progression.
    Mol Cell Biol. 2007 Mar;27(6):2240-52 PMID: 17242205
  18. Transfection of small RNAs globally perturbs gene regulation by endogenous microRNAs.
    Nat Biotechnol. 2009 Jun;27(6):549-55 PMID: 19465925
  19. The role of site accessibility in microRNA target recognition.
    Nat Genet. 2007 Oct;39(10):1278-84 PMID: 17893677
  20. Incorporating structure to predict microRNA targets.
    Proc Natl Acad Sci U S A. 2005 Mar 15;102(11):4006-9 PMID: 15738385
  21. Micro RNAs are complementary to 3' UTR sequence motifs that mediate negative post-transcriptional regulation.
    Nat Genet. 2002 Apr;30(4):363-4 PMID: 11896390
  22. Specificity of microRNA target selection in translational repression.
    Genes Dev. 2004 Mar 1;18(5):504-11 PMID: 15014042
  23. Involvement of microRNA in AU-rich element-mediated mRNA instability.
    Cell. 2005 Mar 11;120(5):623-34 PMID: 15766526
  24. Relief of microRNA-mediated translational repression in human cells subjected to stress.
    Cell. 2006 Jun 16;125(6):1111-24 PMID: 16777601
  25. A search for conserved sequences in coding regions reveals that the let-7 microRNA targets Dicer within its coding sequence.
    Proc Natl Acad Sci U S A. 2008 Sep 30;105(39):14879-84 PMID: 18812516
  26. Vienna RNA secondary structure server.
    Nucleic Acids Res. 2003 Jul 1;31(13):3429-31 PMID: 12824340
  27. Molecular basis for target RNA recognition and cleavage by human RISC.
    Cell. 2007 Jul 13;130(1):101-12 PMID: 17632058
  28. Posttranscriptional regulation of the heterochronic gene lin-14 by lin-4 mediates temporal pattern formation in C. elegans.
    Cell. 1993 Dec 3;75(5):855-62 PMID: 8252622
  29. Decay rates of human mRNAs: correlation with functional characteristics and sequence attributes.
    Genome Res. 2003 Aug;13(8):1863-72 PMID: 12902380
  30. Systematic identification of mRNAs recruited to argonaute 2 by specific microRNAs and corresponding changes in transcript abundance.
    PLoS One. 2008 May 07;3(5):e2126 PMID: 18461144
  31. Bioconductor: open software development for computational biology and bioinformatics.
    Genome Biol. 2004;5(10):R80 PMID: 15461798
  32. Removal of AU bias from microarray mRNA expression data enhances computational identification of active microRNAs.
    PLoS Comput Biol. 2008 Oct 03;4(10):e1000189 PMID: 18833292
  33. The impact of target site accessibility on the design of effective siRNAs.
    Nat Biotechnol. 2008 May;26(5):578-83 PMID: 18438400
  34. Principles of microRNA-target recognition.
    PLoS Biol. 2005 Mar;3(3):e85 PMID: 15723116
  35. Prediction of mammalian microRNA targets.
    Cell. 2003 Dec 26;115(7):787-98 PMID: 14697198
  36. Regulation by let-7 and lin-4 miRNAs results in target mRNA degradation.
    Cell. 2005 Aug 26;122(4):553-63 PMID: 16122423
  37. The impact of microRNAs on protein output.
    Nature. 2008 Sep 4;455(7209):64-71 PMID: 18668037
  38. P bodies: at the crossroads of post-transcriptional pathways.
    Nat Rev Mol Cell Biol. 2007 Jan;8(1):9-22 PMID: 17183357
  39. Identification of Drosophila MicroRNA targets.
    PLoS Biol. 2003 Dec;1(3):E60 PMID: 14691535
  40. let-7 regulates Dicer expression and constitutes a negative feedback loop.
    Carcinogenesis. 2008 Nov;29(11):2073-7 PMID: 18700235
  41. MicroRNA targets in Drosophila.
    Genome Biol. 2003;5(1):R1 PMID: 14709173
  42. Inference of miRNA targets using evolutionary conservation and pathway analysis.
    BMC Bioinformatics. 2007 Mar 01;8:69 PMID: 17331257
Article Info
Journal
Genome research
Abbr.
Genome Res
ISSN
1549-5469
Published
2009-11-00
Epub
2009-00-18
Pages
2009-20
Language
English
Region
United States
NLM ID
9518021
PMCID
PMC2775596
Subset
IM
Grants
NIGMS NIH HHS · R01 GM068476 · United States
NIGMS NIH HHS · GM068476 · United States
Databases
GEO
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com