Literature DB >> 15782179

Microarray-based, high-throughput gene expression profiling of microRNAs.

Peter T Nelson1, Don A Baldwin, L Marie Scearce, J Carl Oberholtzer, John W Tobias, Zissimos Mourelatos.   

Abstract

MicroRNAs (miRNAs) are small regulatory RNAs that serve fundamental biological roles across eukaryotic species. We describe a new method for high-throughput miRNA detection. The technique is termed the RNA-primed, array-based Klenow enzyme (RAKE) assay, because it involves on-slide application of the Klenow fragment of DNA polymerase I to extend unmodified miRNAs hybridized to immobilized DNA probes. We used RAKE to study human cell lines and brain tumors. We show that the RAKE assay is sensitive and specific for miRNAs and is ideally suited for rapid expression profiling of all known miRNAs. RAKE offers unique advantages for specificity over northern blots or other microarray-based expression profiling platforms. Furthermore, we demonstrate that miRNAs can be isolated and profiled from formalin-fixed paraffin-embedded tissue, which opens up new opportunities for analyses of small RNAs from archival human tissue. The RAKE assay is theoretically versatile and may be used for other applications, such as viral gene profiling.

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Year:  2004        PMID: 15782179     DOI: 10.1038/nmeth717

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  152 in total

1.  MicroRNAs as new players in the genomic galaxy and disease puzzles.

Authors:  Elisa Barbarotto; Paola Secchiero; Abhijit Dasgupta; Paolo Fortina; George A Calin; Terry Hyslop
Journal:  Clin Transl Sci       Date:  2008-05       Impact factor: 4.689

2.  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

3.  Strengths and limitations of laboratory procedures for microRNA detection.

Authors:  Jill Koshiol; Ena Wang; Yingdong Zhao; Francesco Marincola; Maria Teresa Landi
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

4.  Development of a micro-array to detect human and mouse microRNAs and characterization of expression in human organs.

Authors:  Yingqing Sun; Seongjoon Koo; Neill White; Eigen Peralta; Christine Esau; Nicholas M Dean; Ranjan J Perera
Journal:  Nucleic Acids Res       Date:  2004-12-22       Impact factor: 16.971

5.  Simple, quantitative primer-extension PCR assay for direct monitoring of microRNAs and short-interfering RNAs.

Authors:  Christopher K Raymond; Brian S Roberts; Phillip Garrett-Engele; Lee P Lim; Jason M Johnson
Journal:  RNA       Date:  2005-11       Impact factor: 4.942

6.  Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes.

Authors:  Scott Baskerville; David P Bartel
Journal:  RNA       Date:  2005-03       Impact factor: 4.942

7.  An optimized isolation and labeling platform for accurate microRNA expression profiling.

Authors:  Jaclyn Shingara; Kerri Keiger; Jeffrey Shelton; Walairat Laosinchai-Wolf; Patricia Powers; Richard Conrad; David Brown; Emmanuel Labourier
Journal:  RNA       Date:  2005-07-25       Impact factor: 4.942

8.  A microRNA detection system based on padlock probes and rolling circle amplification.

Authors:  Søren Peter Jonstrup; Jørn Koch; Jørgen Kjems
Journal:  RNA       Date:  2006-08-03       Impact factor: 4.942

9.  Luminescence determination of microRNAs based on the use of terbium(III) sensitized with an enzyme-activated guanine-rich nucleotide.

Authors:  Bao-Zhu Chi; Ru-Ping Liang; Yan-Hong Yuan; Li Zhang; Zhi-Mei Li; Jian-Ding Qiu
Journal:  Mikrochim Acta       Date:  2018-05-03       Impact factor: 5.833

10.  MicroRNA miR-21 overexpression in human breast cancer is associated with advanced clinical stage, lymph node metastasis and patient poor prognosis.

Authors:  Li-Xu Yan; Xiu-Fang Huang; Qiong Shao; Ma-Yan Huang; Ling Deng; Qiu-Liang Wu; Yi-Xin Zeng; Jian-Yong Shao
Journal:  RNA       Date:  2008-09-23       Impact factor: 4.942

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