Literature DB >> 17114923

Rational probe optimization and enhanced detection strategy for microRNAs using microarrays.

Loyal A Goff1, Maocheng Yang, Jessica Bowers, Robert C Getts, Richard W Padgett, Ronald P Hart.   

Abstract

MicroRNAs (miRNAs) are post-transcriptional regulators participating in biological processes ranging from differentiation to carcinogenesis. We developed a rational probe design algorithm and a sensitive labelling scheme for optimizing miRNA microarrays. Our microarray contains probes for all validated miRNAs from five species, with the potential for drawing on species conservation to identify novel miRNAs with homologous probes. These methods are useful for high-throughput analysis of micro RNAs from various sources, and allow analysis with limiting quantities of RNA. The system design can also be extended for use on Luminex beads or on 96-well plates in an ELISA-style assay. We optimized hybridization temperatures using sequence variations on 20 of the probes and determined that all probes distinguish wild-type from 2 nt mutations, and most probes distinguish a 1 nt mutation, producing good selectivity between closely-related small RNA sequences. Results of tissue comparisons on our microarrays reveal patterns of hybridization that agree with results from Northern blots and other methods.

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Year:  2005        PMID: 17114923     DOI: 10.4161/rna.2.3.2059

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


  19 in total

1.  Differential regulation of microRNA stability.

Authors:  Sophie Bail; Mavis Swerdel; Hudan Liu; Xinfu Jiao; Loyal A Goff; Ronald P Hart; Megerditch Kiledjian
Journal:  RNA       Date:  2010-03-26       Impact factor: 4.942

Review 2.  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

Review 3.  Multiplexed detection methods for profiling microRNA expression in biological samples.

Authors:  Alastair W Wark; Hye Jin Lee; Robert M Corn
Journal:  Angew Chem Int Ed Engl       Date:  2008       Impact factor: 15.336

4.  MicroRNA expression pattern of undifferentiated and differentiated human embryonic stem cells.

Authors:  Uma Lakshmipathy; Brad Love; Loyal A Goff; Rebecka Jörnsten; Ralph Graichen; Ronald P Hart; Jonathan D Chesnut
Journal:  Stem Cells Dev       Date:  2007-12       Impact factor: 3.272

5.  Absolute quantification of microRNAs by using a universal reference.

Authors:  Ute Bissels; Stefan Wild; Stefan Tomiuk; Angela Holste; Markus Hafner; Thomas Tuschl; Andreas Bosio
Journal:  RNA       Date:  2009-10-27       Impact factor: 4.942

Review 6.  Sizing up the future of microRNA analysis.

Authors:  Abraham J Qavi; Jared T Kindt; Ryan C Bailey
Journal:  Anal Bioanal Chem       Date:  2010-08-01       Impact factor: 4.142

Review 7.  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

8.  Large-scale expression analysis reveals distinct microRNA profiles at different stages of human neurodevelopment.

Authors:  Brandon Smith; Julie Treadwell; Dongling Zhang; Dao Ly; Iain McKinnell; P Roy Walker; Marianna Sikorska
Journal:  PLoS One       Date:  2010-06-15       Impact factor: 3.240

9.  The expression of microRNA miR-107 decreases early in Alzheimer's disease and may accelerate disease progression through regulation of beta-site amyloid precursor protein-cleaving enzyme 1.

Authors:  Wang-Xia Wang; Bernard W Rajeev; Arnold J Stromberg; Na Ren; Guiliang Tang; Qingwei Huang; Isidore Rigoutsos; Peter T Nelson
Journal:  J Neurosci       Date:  2008-01-30       Impact factor: 6.167

10.  Evaluation of a new high-dimensional miRNA profiling platform.

Authors:  Julie M Cunningham; Ann L Oberg; Pedro M Borralho; Betsy T Kren; Amy J French; Liang Wang; Brian M Bot; Bruce W Morlan; Kevin A T Silverstein; Rod Staggs; Yan Zeng; Anne-Francoise Lamblin; Christopher A Hilker; Jian-Bing Fan; Clifford J Steer; Stephen N Thibodeau
Journal:  BMC Med Genomics       Date:  2009-08-27       Impact factor: 3.063

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