Literature DB >> 16939783

Analyzing micro-RNA expression using microarrays.

Timothy S Davison1, Charles D Johnson, Bernard F Andruss.   

Abstract

The discovery of micro-RNAs (miRNAs) and the growing appreciation of the importance of micro-RNAs in the regulation of gene expression are driving increasing interest in miRNA expression profiling. Early studies have suggested prominent roles for these genetically encoded regulatory molecules in a variety of normal biological processes and diseases, particularly cancer. However, the field of miRNA expression profiling is in its infancy. Several factors, including the small size, the unknown but limited number of miRNAs, and the tissue-to-tissue and tissue-to-disease state variability in miRNA expression, make the adaptation of microarray technology to the evaluation of miRNA expression nontrivial. This chapter describes the unique features of miRNA microarray experiments and analysis and provides a case study demonstrating our approach to miRNA expression analysis.

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Year:  2006        PMID: 16939783     DOI: 10.1016/S0076-6879(06)11002-2

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  31 in total

1.  MicroRNA signature associated with osteogenic lineage commitment.

Authors:  Behnaz Bakhshandeh; Masoud Soleimani; Maryam Hafizi; Seyed Hassan Paylakhi; Nasser Ghaemi
Journal:  Mol Biol Rep       Date:  2012-02-16       Impact factor: 2.316

2.  Modified least-variant set normalization for miRNA microarray.

Authors:  Chen Suo; Agus Salim; Kee-Seng Chia; Yudi Pawitan; Stefano Calza
Journal:  RNA       Date:  2010-10-27       Impact factor: 4.942

3.  Complexity of the microRNA repertoire revealed by next-generation sequencing.

Authors:  Lik Wee Lee; Shile Zhang; Alton Etheridge; Li Ma; Dan Martin; David Galas; Kai Wang
Journal:  RNA       Date:  2010-09-28       Impact factor: 4.942

4.  A simple array platform for microRNA analysis and its application in mouse tissues.

Authors:  Xiaoqing Tang; Jozsef Gal; Xun Zhuang; Wangxia Wang; Haining Zhu; Guiliang Tang
Journal:  RNA       Date:  2007-08-03       Impact factor: 4.942

Review 5.  Concise review: MicroRNA expression in multipotent mesenchymal stromal cells.

Authors:  Uma Lakshmipathy; Ronald P Hart
Journal:  Stem Cells       Date:  2007-11-08       Impact factor: 6.277

6.  Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells.

Authors:  Ryan D Morin; Michael D O'Connor; Malachi Griffith; Florian Kuchenbauer; Allen Delaney; Anna-Liisa Prabhu; Yongjun Zhao; Helen McDonald; Thomas Zeng; Martin Hirst; Connie J Eaves; Marco A Marra
Journal:  Genome Res       Date:  2008-02-19       Impact factor: 9.043

7.  Impact of normalization on miRNA microarray expression profiling.

Authors:  Sylvain Pradervand; Johann Weber; Jérôme Thomas; Manuel Bueno; Pratyaksha Wirapati; Karine Lefort; G Paolo Dotto; Keith Harshman
Journal:  RNA       Date:  2009-01-28       Impact factor: 4.942

Review 8.  The incredible shrinking world of DNA microarrays.

Authors:  Sarah J Wheelan; Francisco Martínez Murillo; Jef D Boeke
Journal:  Mol Biosyst       Date:  2008-04-17

Review 9.  Technical variables in high-throughput miRNA expression profiling: much work remains to be done.

Authors:  Peter T Nelson; Wang-Xia Wang; Bernard R Wilfred; Guiliang Tang
Journal:  Biochim Biophys Acta       Date:  2008-04-07

10.  MicroRNA expression in response to murine myocardial infarction: miR-21 regulates fibroblast metalloprotease-2 via phosphatase and tensin homologue.

Authors:  Sashwati Roy; Savita Khanna; Syed-Rehan A Hussain; Sabyasachi Biswas; Ali Azad; Cameron Rink; Surya Gnyawali; Shani Shilo; Gerard J Nuovo; Chandan K Sen
Journal:  Cardiovasc Res       Date:  2009-01-15       Impact factor: 10.787

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