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Nucleic Acids Research 2006 34(3):996-1014; doi:10.1093/nar/gkj499
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Published online 9 February 2006

© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org


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

Vigdis Nygaard* and Eivind Hovig

Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radiumhospital Montebello, 0310, Oslo, Norway

*To whom correspondence should be addressed. Tel: +47 22 93 52 71; Fax; +47 22 52 24 21; Email: vigdisny{at}radium.uio.no

Received November 28, 2005. Revised January 24, 2006. Accepted January 24, 2006.

The possibility of performing microarray analysis on limited material has been demonstrated in a number of publications. In this review we approach the technical aspects of mRNA amplification and several important implicit consequences, for both linear and exponential procedures. Amplification efficiencies clearly allow profiling of extremely small samples. The conservation of transcript abundance is the most important issue regarding the use of sample amplification in combination with microarray analysis, and this aspect has generally been found to be acceptable, although demonstrated to decrease in highly diluted samples. The fact that variability and discrepancies in microarray profiles increase with minute sample sizes has been clearly documented, but for many studies this does appear to have affected the biological conclusions. We suggest that this is due to the data analysis approach applied, and the consequence is the chance of presenting misleading results. We discuss the issue of amplification sensitivity limits in the light of reports on fidelity, published data from reviewed articles and data analysis approaches. These are important considerations to be reflected in the design of future studies and when evaluating biological conclusions from published microarray studies based on extremely low input RNA quantities.


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