Literature DB >> 22074760

Influence of RNA labeling on expression profiling of microRNAs.

John S Kaddis1, Daniel H Wai, Jessica Bowers, Nicole Hartmann, Lukas Baeriswyl, Sheetal Bajaj, Michael J Anderson, Robert C Getts, Timothy J Triche.   

Abstract

Although a number of technical parameters are now being examined to optimize microRNA profiling experiments, it is unknown whether reagent or component changes to the labeling step affect starting RNA requirements or microarray performance. Human brain/lung samples were each labeled in duplicate, at 1.0, 0.5, 0.2, and 0.1 μg of total RNA, by means of two kits that use the same labeling procedure but differ in the reagent composition used to label microRNAs. Statistical measures of reliability and validity were used to evaluate microarray data. Cross-platform confirmation was accomplished using TaqMan microRNA assays. Synthetic microRNA spike-in experiments were also performed to establish the microarray signal dynamic range using the ligation-modified kit. Technical replicate correlations of signal intensity values were high using both kits, but improved with the ligation-modified assay. The drop in detection call sensitivity and miRNA gene list correlations, when using reduced amounts of standard-labeled RNA, was considerably improved with the ligation-modified kit. Microarray signal dynamic range was found to be linear across three orders of magnitude from 4.88 to 5000 attomoles. Thus, optimization of the microRNA labeling reagent can result in at least a 10-fold decrease in microarray total RNA requirements with little compromise to data quality. Clinical investigations bottlenecked by the amount of starting material may use a ligation mix modification strategy to reduce total RNA requirements.
Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22074760      PMCID: PMC3338349          DOI: 10.1016/j.jmoldx.2011.08.005

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  66 in total

1.  Validation and application of a high fidelity mRNA linear amplification procedure for profiling gene expression.

Authors:  Osman V Patel; Steve P Suchyta; Sue S Sipkovsky; Jianbo Yao; James J Ireland; Paul M Coussens; George W Smith
Journal:  Vet Immunol Immunopathol       Date:  2005-05-15       Impact factor: 2.046

2.  Instability of miRNA and cDNAs derivatives in RNA preparations.

Authors:  Valia Bravo; Samuel Rosero; Camillo Ricordi; Ricardo L Pastori
Journal:  Biochem Biophys Res Commun       Date:  2006-12-27       Impact factor: 3.575

3.  Evaluation of two methods for generating cRNA for microarray experiments from nanogram amounts of total RNA.

Authors:  Mads Bak; Lene Conley; Jakob Hedegaard; Lars Allan Larsen; Peter Sørensen; Christian Bendixen; Niels Tommerup
Journal:  Anal Biochem       Date:  2006-09-07       Impact factor: 3.365

4.  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

5.  Big results from small samples: evaluation of amplification protocols for gene expression profiling.

Authors:  Agnes Viale; Juan Li; Jay Tiesman; Susan Hester; Aldo Massimi; Chandi Griffin; George Grills; Greg Khitrov; Kathryn Lilley; Kevin Knudtson; Bill Ward; Karl Kornacker; Chin-Yi Chu; Herbert Auer; Andrew I Brooks
Journal:  J Biomol Tech       Date:  2007-07

6.  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

7.  mRNA and microRNA quality control for RT-qPCR analysis.

Authors:  C Becker; A Hammerle-Fickinger; I Riedmaier; M W Pfaffl
Journal:  Methods       Date:  2010-01-15       Impact factor: 3.608

Review 8.  MicroRNAs and cardiovascular diseases.

Authors:  Koh Ono; Yasuhide Kuwabara; Jiahuai Han
Journal:  FEBS J       Date:  2011-03-30       Impact factor: 5.542

9.  Evaluation of amplified cRNA targets for oligonucleotide microarrays.

Authors:  Akihiro Sawada; Shogo Mizufune; Noritada Kaji; Manabu Tokeshi; Yoshinobu Baba
Journal:  Anal Bioanal Chem       Date:  2007-02-07       Impact factor: 4.142

10.  Normalization of microRNA expression levels in quantitative RT-PCR assays: identification of suitable reference RNA targets in normal and cancerous human solid tissues.

Authors:  Heidi J Peltier; Gary J Latham
Journal:  RNA       Date:  2008-03-28       Impact factor: 4.942

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  1 in total

1.  MicroRNAs as Predictors of Future Uterine Malignancy in Endometrial Hyperplasia without Atypia.

Authors:  Chiao-Yun Lin; Ren-Chin Wu; Lan-Yan Yang; Shih-Ming Jung; Shir-Hwa Ueng; Yun-Hsin Tang; Huei-Jean Huang; Hsiu-Jung Tung; Cheng-Tao Lin; Hsuan-Yu Chen; Angel Chao; Chyong-Huey Lai
Journal:  J Pers Med       Date:  2022-02-18
  1 in total

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