Skip Navigation



Nucleic Acids Research Advance Access published online on May 12, 2008

Nucleic Acids Research, doi:10.1093/nar/gkn263
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (307K) Freely available
Right arrow Screen PDF (326K) Freely available
Right arrow Supplementary Data
Right arrowOA All Versions of this Article:
36/10/e60    most recent
gkn263v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Risques, R. A.
Right arrow Articles by Welsh, J.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Risques, R. A.
Right arrow Articles by Welsh, J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Methods Online

Assessment of gene expression in many samples using vertical arrays

Rosa Ana Risques, Gaelle Rondeau, Martin Judex, Michael McClelland and John Welsh*

Sidney Kimmel Cancer Center, 10905 Road to the Cure, San Diego, CA 92121, USA

*To whom correspondence should be addressed. Tel: +1 619 450 5990, ext. 282; Fax: +1 619 550 3998; Email: jwelsh{at}skcc.org

Received January 11, 2008. Revised April 1, 2008. Accepted April 21, 2008.

Microarrays and high-throughput sequencing methods can be used to measure the expression of thousands of genes in a biological sample in a few days, whereas PCR-based methods can be used to measure the expression of a few genes in thousands of samples in about the same amount of time. These methods become more costly as the number of biological samples increases or as the number of genes of interest increases, respectively, and these factors constrain experimental design. To address these issues, we introduced ‘vertical arrays’ in which RNA from each biological sample is converted into multiple, overlapping cDNA subsets and spotted on glass slides. These vertical arrays can be queried with single gene probes to assess the expression behavior in thousands of biological samples in a single hybridization reaction. The spotted subsets are less complex than the original RNA from which they derive, which improves signal-to-noise ratios. Here, we demonstrate the quantitative capabilities of vertical arrays, including the sensitivity and accuracy of the method and the number of subsets needed to achieve this accuracy for most expressed genes.


Present addresses: Rosa Ana Risques, Department of Pathology, University of Washington, Seattle, WA 98195, USA Martin Judex, Landrat-Wagner-Str. 43a, 84085 Langquaid, Germany

The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.