Literature DB >> 16540696

A sensitive array for microRNA expression profiling (miChip) based on locked nucleic acids (LNA).

Mirco Castoldi1, Sabine Schmidt, Vladimir Benes, Mikkel Noerholm, Andreas E Kulozik, Matthias W Hentze, Martina U Muckenthaler.   

Abstract

MicroRNAs represent a class of short (approximately 22 nt), noncoding regulatory RNAs involved in development, differentiation, and metabolism. We describe a novel microarray platform for genome-wide profiling of mature miRNAs (miChip) using locked nucleic acid (LNA)-modified capture probes. The biophysical properties of LNA were exploited to design probe sets for uniform, high-affinity hybridizations yielding highly accurate signals able to discriminate between single nucleotide differences and, hence, between closely related miRNA family members. The superior detection sensitivity eliminates the need for RNA size selection and/or amplification. MiChip will greatly simplify miRNA expression profiling of biological and clinical samples.

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Year:  2006        PMID: 16540696      PMCID: PMC1440900          DOI: 10.1261/rna.2332406

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  36 in total

Review 1.  Locked nucleic acid (LNA): fine-tuning the recognition of DNA and RNA.

Authors:  D A Braasch; D R Corey
Journal:  Chem Biol       Date:  2001-01

2.  The microRNA Registry.

Authors:  Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

3.  NMR structure of an alpha-L-LNA:RNA hybrid: structural implications for RNase H recognition.

Authors:  Jakob T Nielsen; Paul C Stein; Michael Petersen
Journal:  Nucleic Acids Res       Date:  2003-10-15       Impact factor: 16.971

4.  A microRNA array reveals extensive regulation of microRNAs during brain development.

Authors:  Anna M Krichevsky; Kevin S King; Christine P Donahue; Konstantin Khrapko; Kenneth S Kosik
Journal:  RNA       Date:  2003-10       Impact factor: 4.942

5.  Specificity of microRNA target selection in translational repression.

Authors:  John G Doench; Phillip A Sharp
Journal:  Genes Dev       Date:  2004-03-10       Impact factor: 11.361

6.  A high-throughput method to monitor the expression of microRNA precursors.

Authors:  Thomas D Schmittgen; Jinmai Jiang; Qian Liu; Liuqing Yang
Journal:  Nucleic Acids Res       Date:  2004-02-25       Impact factor: 16.971

7.  MicroRNA gene expression deregulation in human breast cancer.

Authors:  Marilena V Iorio; Manuela Ferracin; Chang-Gong Liu; Angelo Veronese; Riccardo Spizzo; Silvia Sabbioni; Eros Magri; Massimo Pedriali; Muller Fabbri; Manuela Campiglio; Sylvie Ménard; Juan P Palazzo; Anne Rosenberg; Piero Musiani; Stefano Volinia; Italo Nenci; George A Calin; Patrizia Querzoli; Massimo Negrini; Carlo M Croce
Journal:  Cancer Res       Date:  2005-08-15       Impact factor: 12.701

8.  Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers.

Authors:  George Adrian Calin; Cinzia Sevignani; Calin Dan Dumitru; Terry Hyslop; Evan Noch; Sai Yendamuri; Masayoshi Shimizu; Sashi Rattan; Florencia Bullrich; Massimo Negrini; Carlo M Croce
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-18       Impact factor: 11.205

9.  An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues.

Authors:  Chang-Gong Liu; George Adrian Calin; Brian Meloon; Nir Gamliel; Cinzia Sevignani; Manuela Ferracin; Calin Dan Dumitru; Masayoshi Shimizu; Simona Zupo; Mariella Dono; Hansjuerg Alder; Florencia Bullrich; Massimo Negrini; Carlo M Croce
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-21       Impact factor: 11.205

10.  Expression profiling of mammalian microRNAs uncovers a subset of brain-expressed microRNAs with possible roles in murine and human neuronal differentiation.

Authors:  Lorenzo F Sempere; Sarah Freemantle; Ian Pitha-Rowe; Eric Moss; Ethan Dmitrovsky; Victor Ambros
Journal:  Genome Biol       Date:  2004-02-16       Impact factor: 13.583

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  136 in total

Review 1.  miRNA profiling for biomarker discovery in multiple sclerosis: from microarray to deep sequencing.

Authors:  Mireia Guerau-de-Arellano; Hansjuerg Alder; Hatice Gulcin Ozer; Amy Lovett-Racke; Michael K Racke
Journal:  J Neuroimmunol       Date:  2011-11-09       Impact factor: 3.478

Review 2.  MicroRNAs and their roles in osteoclast differentiation.

Authors:  Zhuying Xia; Chao Chen; Peng Chen; Hui Xie; Xianghang Luo
Journal:  Front Med       Date:  2011-12-27       Impact factor: 4.592

3.  Tailoring DNA structure to increase target hybridization kinetics on surfaces.

Authors:  Andrew E Prigodich; One-Sun Lee; Weston L Daniel; Dwight S Seferos; George C Schatz; Chad A Mirkin
Journal:  J Am Chem Soc       Date:  2010-08-11       Impact factor: 15.419

4.  MiR-21 overexpression in human primary squamous cell lung carcinoma is associated with poor patient prognosis.

Authors:  Wen Gao; Hua Shen; Lingxiang Liu; Jian Xu; Jing Xu; Yongqian Shu
Journal:  J Cancer Res Clin Oncol       Date:  2010-05-28       Impact factor: 4.553

5.  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

6.  Attomole microarray detection of microRNAs by nanoparticle-amplified SPR imaging measurements of surface polyadenylation reactions.

Authors:  Shiping Fang; Hye Jin Lee; Alastair W Wark; Robert M Corn
Journal:  J Am Chem Soc       Date:  2006-11-01       Impact factor: 15.419

7.  Direct and sensitive miRNA profiling from low-input total RNA.

Authors:  Hui Wang; Robert A Ach; Bo Curry
Journal:  RNA       Date:  2006-11-14       Impact factor: 4.942

8.  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

9.  Fluorometric determination of microRNA-122 by using ExoIII-aided recycling amplification and polythymine induced formation of copper nanoparticles.

Authors:  Yafang Tang; Mingxiu Liu; Zilin Zhao; Qing Li; Xuehua Liang; Jianniao Tian; Shulin Zhao
Journal:  Mikrochim Acta       Date:  2019-02-01       Impact factor: 5.833

Review 10.  Opportunities and challenges for selected emerging technologies in cancer epidemiology: mitochondrial, epigenomic, metabolomic, and telomerase profiling.

Authors:  Mukesh Verma; Muin J Khoury; John P A Ioannidis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-12-14       Impact factor: 4.254

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