» Articles » PMID: 17972098

Comparison of RNA Amplification Techniques Meeting the Demands for the Expression Profiling of Clinical Cancer Samples

Overview
Journal Virchows Arch
Date 2007 Nov 1
PMID 17972098
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Available ribonucleic acid (RNA) amplification methods are extensively tested for reproducibility, but only a few studies additionally deal with potential amplification bias. On targeted arrays, we evaluated three amplification protocols, which are less time consuming than the commonly used T7-RNA polymerase based in vitro transcription protocols and therefore may be more suitable for clinical use: Template-switching polymerase chain reaction (PCR), Ribo-single primer isothermal amplification and a random primer-based PCR. Additionally, a more sensitive labelling method, Dendrimer labelling, was evaluated. All methods were compared to unamplified RNA labelled at reverse transcription. From our results, we conclude that RNA amplification with template-switching PCR is highly reproducible and results in a reliable representation of the starting RNA population. We then assessed whether RNA amplification of clinical breast and thyroid cancer samples with template-switching PCR showed robust performance when altered cycle numbers or partially degraded RNA were used. Template-switching PCR proved to be a very reliable method for global RNA amplification, even when starting from partially degraded RNA down to a RNA Integrity Number of 4.3. In conclusion, template-switching PCR amplification promises to help micro-array expression profiling of limited amounts of human samples on its way to a clinical routine.

Citing Articles

Multicenter fresh frozen tissue sampling in colorectal cancer: does the quality meet the standards for state of the art biomarker research?.

Lalmahomed Z, van den Braak R, Oomen M, Arshad S, Riegman P, IJzermans J Cell Tissue Bank. 2017; 18(3):425-431.

PMID: 28258397 PMC: 5587614. DOI: 10.1007/s10561-017-9613-x.


Validation and implementation of a method for microarray gene expression profiling of minor B-cell subpopulations in man.

Bergkvist K, Nyegaard M, Bogsted M, Schmitz A, Bodker J, Rasmussen S BMC Immunol. 2014; 15:3.

PMID: 24483235 PMC: 3937209. DOI: 10.1186/1471-2172-15-3.


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

Gadkar V, Arseneault T, Filion M Mol Biotechnol. 2013; 56(4):377-85.

PMID: 24198216 DOI: 10.1007/s12033-013-9718-9.


RNA-seq in the tetraploid Xenopus laevis enables genome-wide insight in a classic developmental biology model organism.

Amin N, Tandon P, Nishimura E, Conlon F Methods. 2013; 66(3):398-409.

PMID: 23792920 PMC: 3884041. DOI: 10.1016/j.ymeth.2013.06.009.


Amplification of viral RNA from drinking water using TransPlex™ whole-transcriptome amplification.

Parker J, Chang T, Meschke J J Appl Microbiol. 2011; 111(1):216-23.

PMID: 21477067 PMC: 7197749. DOI: 10.1111/j.1365-2672.2011.05029.x.


References
1.
Lyng H, Badiee A, Svendsrud D, Hovig E, Myklebost O, Stokke T . Profound influence of microarray scanner characteristics on gene expression ratios: analysis and procedure for correction. BMC Genomics. 2004; 5(1):10. PMC: 356910. DOI: 10.1186/1471-2164-5-10. View

2.
Manduchi E, Marie Scearce L, Brestelli J, Grant G, Kaestner K, Stoeckert Jr C . Comparison of different labeling methods for two-channel high-density microarray experiments. Physiol Genomics. 2002; 10(3):169-79. DOI: 10.1152/physiolgenomics.00120.2001. View

3.
Goff L, Bowers J, Schwalm J, Howerton K, Getts R, Hart R . Evaluation of sense-strand mRNA amplification by comparative quantitative PCR. BMC Genomics. 2004; 5:76. PMC: 524485. DOI: 10.1186/1471-2164-5-76. View

4.
Subkhankulova T, Livesey F . Comparative evaluation of linear and exponential amplification techniques for expression profiling at the single-cell level. Genome Biol. 2006; 7(3):R18. PMC: 1557751. DOI: 10.1186/gb-2006-7-3-r18. View

5.
Klein C, Seidl S, Petat-Dutter K, Offner S, Geigl J, Schmidt-Kittler O . Combined transcriptome and genome analysis of single micrometastatic cells. Nat Biotechnol. 2002; 20(4):387-92. DOI: 10.1038/nbt0402-387. View