Skip Navigation


Bioinformatics Advance Access originally published online on August 18, 2009
Bioinformatics 2009 25(21):2772-2779; doi:10.1093/bioinformatics/btp492
This Article
Right arrow Full Text
Right arrow Full Text (Print PDF)
Right arrow Supplementary Data
Right arrow All Versions of this Article:
25/21/2772    most recent
btp492v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
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 arrowRequest Permissions
Google Scholar
Right arrow Articles by Dannemann, M.
Right arrow Articles by Lachmann, M.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Dannemann, M.
Right arrow Articles by Lachmann, M.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

The effects of probe binding affinity differences on gene expression measurements and how to deal with them

Michael Dannemann 1,{dagger}, Anna Lorenc 1,{ddagger}, Ines Hellmann 2, Philipp Khaitovich 3 and Michael Lachmann 1,*

1 Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 2 Departments of Integrative Biology and Statistics, University of California, Berkeley, CA 94720, USA and 3 Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Yue Yang Road, Shanghai, 200031, P.R. China

* To whom correspondence should be addressed.


   Abstract

Motivation: When comparing gene expression levels between species or strains using microarrays, sequence differences between the groups can cause false identification of expression differences. Our simulated dataset shows that a sequence divergence of only 1% between species can lead to falsely reported expression differences for >50% of the transcripts—similar levels of effect have been reported previously in comparisons of human and chimpanzee expression. We propose a method for identifying probes that cause such false readings, using only the microarray data, so that problematic probes can be excluded from analysis. We then test the power of the method to detect sequence differences and to correct for falsely reported expression differences. Our method can detect 70% of the probes with sequence differences using human and chimpanzee data, while removing only 18% of probes with no sequence differences. Although only 70% of the probes with sequence differences are detected, the effect of removing probes on falsely reported expression differences is more dramatic: the method can remove 98% of the falsely reported expression differences from a simulated dataset. We argue that the method should be used even when sequence data are available.

Contact: lachmann{at}eva.mpg.de

Supplementary information: Supplementary data are available at Bioinformatics online.

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

{ddagger} Present address: Max Planck Institute for Evolutionary Biology, Ploen, Germany.

Associate Editor: Olga Troyanskaya


Received on April 9, 2009; revised on July 17, 2009; accepted on August 9, 2009

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.