Literature DB >> 18274534

miChip: an array-based method for microRNA expression profiling using locked nucleic acid capture probes.

Mirco Castoldi1, Sabine Schmidt, Vladimir Benes, Matthias W Hentze, Martina U Muckenthaler.   

Abstract

MicroRNAs (miRNAs) represent a class of short (22 nt) noncoding RNAs that control gene expression post-transcriptionally. Microarray technology is frequently applied to monitor miRNA expression levels but is challenged by (i) the short length of miRNAs that offers little sequence for appending detection molecules; (ii) low copy number of some miRNA; and (iii) a wide range of predicted melting temperatures (Tm) versus their DNA complementary sequences. We recently developed a microarray platform for genome-wide profiling of miRNAs (miChip) by applying locked nucleic acid (LNA)-modified capture probes. Here, we provide detailed protocols for the generation of the miChip microarray platform, the preparation and fluorescent labeling of small RNA containing total RNA, its hybridization to the immobilized LNA-modified capture probes and the post-hybridization handling of the microarray. Starting from the intact tissue sample, the entire protocol takes approximately 3 d to yield highly accurate and sensitive data about miRNA expression levels.

Mesh:

Substances:

Year:  2008        PMID: 18274534     DOI: 10.1038/nprot.2008.4

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  40 in total

1.  The emergent role of microRNAs in molecular diagnostics of cancer.

Authors:  Wayne Tam
Journal:  J Mol Diagn       Date:  2008-08-07       Impact factor: 5.568

2.  MicroRNAs with a nucleolar location.

Authors:  Joan C Ritland Politz; Eric M Hogan; Thoru Pederson
Journal:  RNA       Date:  2009-07-23       Impact factor: 4.942

3.  Efficient and accurate analysis of microRNA using a specific extension sequence.

Authors:  Jae Hyun Ahn; Jiwon Kwak; Jae-Hoon Lee; Soo Suk Lee
Journal:  Mol Biol Rep       Date:  2018-05-30       Impact factor: 2.316

4.  Development of a robust, low cost stem-loop real-time quantification PCR technique for miRNA expression analysis.

Authors:  Samira Mohammadi-Yeganeh; Mahdi Paryan; Siamak Mirab Samiee; Masoud Soleimani; Ehsan Arefian; Keyhan Azadmanesh; Ehsan Mostafavi; Reza Mahdian; Morteza Karimipoor
Journal:  Mol Biol Rep       Date:  2013-01-10       Impact factor: 2.316

Review 5.  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

6.  RNA degradation compromises the reliability of microRNA expression profiling.

Authors:  David Ibberson; Vladimir Benes; Martina U Muckenthaler; Mirco Castoldi
Journal:  BMC Biotechnol       Date:  2009-12-21       Impact factor: 2.563

Review 7.  Mini but mighty: microRNAs in the pathobiology of periodontal disease.

Authors:  Moritz Kebschull; Panos N Papapanou
Journal:  Periodontol 2000       Date:  2015-10       Impact factor: 7.589

8.  microRNAs in CNS disorders.

Authors:  Jannet Kocerha; Sakari Kauppinen; Claes Wahlestedt
Journal:  Neuromolecular Med       Date:  2009-06-18       Impact factor: 3.843

9.  Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis.

Authors:  Yongxin Chen; Jonathan A L Gelfond; Linda M McManus; Paula K Shireman
Journal:  BMC Genomics       Date:  2009-08-28       Impact factor: 3.969

10.  A novel and universal method for microRNA RT-qPCR data normalization.

Authors:  Pieter Mestdagh; Pieter Van Vlierberghe; An De Weer; Daniel Muth; Frank Westermann; Frank Speleman; Jo Vandesompele
Journal:  Genome Biol       Date:  2009-06-16       Impact factor: 13.583

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