Literature DB >> 12613262

RNA amplification strategies for cDNA microarray experiments.

J Wang1, L Hu, S R Hamilton, K R Coombes, W Zhang.   

Abstract

The biological materials available for cDNA microarray studies are often limiting. Thus, protocols have been developed to amplify RNAs isolated from limited amounts of tissues or cells. RNA amplification by in vitro transcription is the most widely used among the available amplification protocols. Two means of generating a dsDNA template for the RNA polymerase are a combination of reverse transcription with conventional second-strand cDNA synthesis and a combination of the switch mechanism at the 5' end of RNA templates (SMART) with reverse transcription, followed by PCR. To date, there has been no systematic comparison of the efficiency of the two amplification strategies. In this study, we performed and analyzed a set of six microarray experiments involving the use of a "regular" (unamplified) microarray experimental protocol and two different RNA amplification protocols. Based on their ability to identify differentially expressed genes and assuming that the results from the regular protocol are correct, our analyses demonstrated that both amplification protocols achieved reproducible and reliable results. From the same amount of starting material, our results also indicated that more amplified RNA can be obtained using conventional second-strand cDNA synthesis than from the combination of SMART and PCR. When the critical issue is the amount of starting RNA, we recommend the conventional second-strand cDNA synthesis as the preferred amplification method.

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Year:  2003        PMID: 12613262     DOI: 10.2144/03342mt04

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  17 in total

1.  Combined megaplex TCR isolation and SMART-based real-time quantitation methods for quantitating antigen-specific T cell clones in mycobacterial infection.

Authors:  George Du; Liyou Qiu; Ling Shen; Probhat Sehgal; Yun Shen; Dan Huang; Norman L Letvin; Zheng W Chen
Journal:  J Immunol Methods       Date:  2005-11-15       Impact factor: 2.303

2.  Microarray-based analysis of microbial community RNAs by whole-community RNA amplification.

Authors:  Haichun Gao; Zamin K Yang; Terry J Gentry; Liyou Wu; Christopher W Schadt; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2006-11-10       Impact factor: 4.792

3.  Fidelity and representativeness of two isothermal multiple displacement amplification systems to preamplify limiting amounts of total RNA.

Authors:  Vijay J Gadkar; Tanya Arseneault; Martin Filion
Journal:  Mol Biotechnol       Date:  2014-04       Impact factor: 2.695

4.  Direct labeling of RNA with multiple biotins allows sensitive expression profiling of acute leukemia class predictor genes.

Authors:  Kyle Cole; Vivi Truong; Dale Barone; Glenn McGall
Journal:  Nucleic Acids Res       Date:  2004-06-17       Impact factor: 16.971

5.  Sildenafil augments early protective transcriptional changes after ischemia in mouse myocardium.

Authors:  Ramesh Vidavalur; Suresh Varma Penumathsa; Mahesh Thirunavukkarasu; Lijun Zhan; Winfried Krueger; Nilanjana Maulik
Journal:  Gene       Date:  2008-10-25       Impact factor: 3.688

6.  Comparison of standard exponential and linear techniques to amplify small cDNA samples for microarrays.

Authors:  Johan Wadenbäck; David H Clapham; Deborah Craig; Ronald Sederoff; Gary F Peter; Sara von Arnold; Ulrika Egertsdotter
Journal:  BMC Genomics       Date:  2005-05-04       Impact factor: 3.969

7.  Macrodissection versus microdissection of rectal carcinoma: minor influence of stroma cells to tumor cell gene expression profiles.

Authors:  Elza C de Bruin; Simone van de Pas; Esther H Lips; Ronald van Eijk; Minke M C van der Zee; Marcel Lombaerts; Tom van Wezel; Corrie A M Marijnen; J Han J M van Krieken; Jan Paul Medema; Cornelis J H van de Velde; Paul H C Eilers; Lucy T C Peltenburg
Journal:  BMC Genomics       Date:  2005-10-14       Impact factor: 3.969

8.  Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.

Authors:  Mathieu Clément-Ziza; David Gentien; Stanislas Lyonnet; Jean-Paul Thiery; Claude Besmond; Charles Decraene
Journal:  BMC Genomics       Date:  2009-05-26       Impact factor: 3.969

9.  A comparison of RNA amplification techniques at sub-nanogram input concentration.

Authors:  Julie E Lang; Mark Jesus M Magbanua; Janet H Scott; G Mike Makrigiorgos; Gang Wang; Scot Federman; Laura J Esserman; John W Park; Christopher M Haqq
Journal:  BMC Genomics       Date:  2009-07-20       Impact factor: 3.969

Review 10.  Options available for profiling small samples: a review of sample amplification technology when combined with microarray profiling.

Authors:  Vigdis Nygaard; Eivind Hovig
Journal:  Nucleic Acids Res       Date:  2006-02-09       Impact factor: 16.971

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