MicroRNA methodology: Advances in miRNA technologies

Methods in Molecular Biology

Volumn 1169, Issue , 2014, Pages 121-130

  Kaeuferle, Theresa ^a   Bartel, Sabine ^a   Dehmel, Stefan ^a   Krauss Etschmann, Susanne ^a  

^a NONE

Author keywords

In silico target prediction; Luciferase binding assays; MiRNA overexpression; MiRNA quantification

Indexed keywords

MICRORNA;

3' UNTRANSLATED REGION; ARTICLE; BINDING SITE; CELL DENSITY; CROSS HYBRIDIZATION; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; GENE OVEREXPRESSION; GENE SILENCING; IN VIVO STUDY; METHODOLOGY; PRIORITY JOURNAL; REPRODUCIBILITY; RNA DEGRADATION; SPECIES DIFFERENCE; ANIMAL; GENETICS; HUMAN;

ANIMALS; GENE EXPRESSION PROFILING; HUMANS; MICRORNAS;

EID: 84907856560     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4939-0882-0_12     Document Type: Article

References (17)

1. Amaral PP, Dinger ME, Mercer TR et al (2008) The eukaryotic genome as an RNA machine. Science 319:1787–1789
2. Huntzinger E, Izaurralde E (2011) Gene silencing by microRNAs: contributions of translational repression and mRNA decay. Nat Rev Genet 12:99–110
3. Jackson RJ, Standart N (2007) How do microRNAs regulate gene expression? Sci STKE 2007:re1.
4. Sayed D, Abdellatif M (2011) MicroRNAs in development and disease. Physiol Rev 91: 827–887
5. D'Haene B, Mestdagh P, Hellemans J et al (2012) miRNA expression profiling: from reference genes to global mean normalization. Methods Mol Biol 822:261–272
6. Dweep H, Sticht C, Pandey P et al (2011) miRWalk- database: prediction of possible miRNA binding sites by "walking" the genes of three genomes. J Biomed Inform 44: 839–847
7. Papadopoulos GL, Alexiou P, Maragkakis M et al (2009) DIANA-mirPath: integrating human and mouse microRNAs in pathways. Bioinformatics 25:1991–1993
8. Krutzfeldt J, Rajewsky N, Braich R et al (2005) Silencing of microRNAs in vivo with ‘antagomirs’. Nature 438:685–689
9. Mattes J, Collison A, Plank M et al (2009) Antagonism of microRNA-126 suppresses the effector function of TH2 cells and the development of allergic airways disease. Proc Natl Acad Sci U S A 106:18704–18709
10. Collison A, Mattes J, Plank M et al (2011) Inhibition of house dust mite-induced allergic airways disease by antagonism of micro RNA-145 is comparable to glucocorticoid treatment. J Allergy Clin Immunol 128:160.e4–167.e4
11. Pandit KV, Corcoran D, Yousef H et al (2010) Inhibition and role of let-7d in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med 182:220–229
12. Stenvang J, Kauppinen S (2008) MicroRNAs as targets for antisense-based therapeutics. Expert Opin Biol Ther 8:59–81
13. Wang B, Howel P, Bruheim S et al (2011) Systematic evaluation of three microRNA profiling platforms: microarray, beads array, and quantitative real-time PCR array. PLoS One 6:e17167
14. Git A, Dvinge H, Salmon-Divon M et al (2010) Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression. RNA 16: 991–1006
15. Sato F, Tsuchiya S, Terasawa K et al (2009) Intra- platform repeatability and inter-platform comparability of microRNA microarray technology. PLoS One 4:e5540
16. Mestdagh P, Van Vlierberghe P, De Weer A et al (2009) A novel and universal method for microRNA RT-qPCR data normalization. Genome Biol 10:R64
17. Li L, Xu J, Yang D et al (2010) Computational approaches for microRNA studies: a review. Mamm Genome 21:1–12