Literature DB >> 22064514

Performing custom microRNA microarray experiments.

Xiaoxiao Zhang1, Yan Zeng.   

Abstract

microRNAs (miRNAs) are a large family of ˜ 22 nucleotides (nt) long RNA molecules that are widely expressed in eukaryotes (1). Complex genomes encode at least hundreds of miRNAs, which primarily inhibit the expression of a vast number of target genes post-transcriptionally (2, 3). miRNAs control a broad range of biological processes (1). In addition, altered miRNA expression has been associated with human diseases such as cancers, and miRNAs may serve as biomarkers for diseases and prognosis (4, 5). It is important, therefore, to understand the expression and functions of miRNAs under many different conditions. Three major approaches have been employed to profile miRNA expression: real-time PCR, microarray, and deep sequencing. The technique of miRNA microarray has the advantage of being high-throughput, generally less expensive, and most of the experimental and analysis steps can be carried out in a molecular biology laboratory at most universities, medical schools and associated hospitals. Here, we describe a method for performing custom miRNA microarray experiments. A miRNA probe set will be printed on glass slides to produce miRNA microarrays. RNA is isolated using a method or reagent that preserves small RNA species, and then labeled with a fluorescence dye. As a control, reference DNA oligonucleotides corresponding to a subset of miRNAs are also labeled with a different fluorescence dye. The reference DNA will serve to demonstrate the quality of the slide and hybridization and will also be used for data normalization. The RNA and DNA are mixed and hybridized to a microarray slide containing probes for most of the miRNAs in the database. After washing, the slide is scanned to obtain images, and intensities of the individual spots quantified. These raw signals will be further processed and analyzed as the expression data of the corresponding miRNAs. Microarray slides can be stripped and regenerated to reduce the cost of microarrays and to enhance the consistency of microarray experiments. The same principles and procedures are applicable to other types of custom microarray experiments.

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Year:  2011        PMID: 22064514      PMCID: PMC3227212          DOI: 10.3791/3250

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  10 in total

Review 1.  The functions of animal microRNAs.

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

Review 2.  Mechanisms of miRNA-mediated post-transcriptional regulation in animal cells.

Authors:  Marina Chekulaeva; Witold Filipowicz
Journal:  Curr Opin Cell Biol       Date:  2009-05-18       Impact factor: 8.382

3.  A custom microarray platform for analysis of microRNA gene expression.

Authors:  J Michael Thomson; Joel Parker; Charles M Perou; Scott M Hammond
Journal:  Nat Methods       Date:  2004-09-29       Impact factor: 28.547

4.  Mammalian microRNAs: experimental evaluation of novel and previously annotated genes.

Authors:  H Rosaria Chiang; Lori W Schoenfeld; J Graham Ruby; Vincent C Auyeung; Noah Spies; Daehyun Baek; Wendy K Johnston; Carsten Russ; Shujun Luo; Joshua E Babiarz; Robert Blelloch; Gary P Schroth; Chad Nusbaum; David P Bartel
Journal:  Genes Dev       Date:  2010-04-22       Impact factor: 11.361

Review 5.  Pervasive roles of microRNAs in cardiovascular biology.

Authors:  Eric M Small; Eric N Olson
Journal:  Nature       Date:  2011-01-20       Impact factor: 49.962

6.  Most mammalian mRNAs are conserved targets of microRNAs.

Authors:  Robin C Friedman; Kyle Kai-How Farh; Christopher B Burge; David P Bartel
Journal:  Genome Res       Date:  2008-10-27       Impact factor: 9.043

7.  Stripping custom microRNA microarrays and the lessons learned about probe-slide interactions.

Authors:  Xiaoxiao Zhang; Wayne Xu; Jiankang Tan; Yan Zeng
Journal:  Anal Biochem       Date:  2008-12-24       Impact factor: 3.365

8.  A mammalian microRNA expression atlas based on small RNA library sequencing.

Authors:  Pablo Landgraf; Mirabela Rusu; Robert Sheridan; Alain Sewer; Nicola Iovino; Alexei Aravin; Sébastien Pfeffer; Amanda Rice; Alice O Kamphorst; Markus Landthaler; Carolina Lin; Nicholas D Socci; Leandro Hermida; Valerio Fulci; Sabina Chiaretti; Robin Foà; Julia Schliwka; Uta Fuchs; Astrid Novosel; Roman-Ulrich Müller; Bernhard Schermer; Ute Bissels; Jason Inman; Quang Phan; Minchen Chien; David B Weir; Ruchi Choksi; Gabriella De Vita; Daniela Frezzetti; Hans-Ingo Trompeter; Veit Hornung; Grace Teng; Gunther Hartmann; Miklos Palkovits; Roberto Di Lauro; Peter Wernet; Giuseppe Macino; Charles E Rogler; James W Nagle; Jingyue Ju; F Nina Papavasiliou; Thomas Benzing; Peter Lichter; Wayne Tam; Michael J Brownstein; Andreas Bosio; Arndt Borkhardt; James J Russo; Chris Sander; Mihaela Zavolan; Thomas Tuschl
Journal:  Cell       Date:  2007-06-29       Impact factor: 41.582

Review 9.  miRNAs in human cancer.

Authors:  Thalia A Farazi; Jessica I Spitzer; Pavel Morozov; Thomas Tuschl
Journal:  J Pathol       Date:  2010-11-18       Impact factor: 7.996

10.  miRBase: tools for microRNA genomics.

Authors:  Sam Griffiths-Jones; Harpreet Kaur Saini; Stijn van Dongen; Anton J Enright
Journal:  Nucleic Acids Res       Date:  2007-11-08       Impact factor: 16.971

  10 in total

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