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Normalized Affymetrix expression data are biased by G-quadruplex formation
Probes with runs of four or more guanines (G-stacks) in their sequences can exhibit a level of hybridization that is unrelated to the expression levels of the mRNA that they are intended to measure. This is most likely caused by the formation of G-quadruplexes, where inter-probe guanines form Hoogst...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3333884/ https://www.ncbi.nlm.nih.gov/pubmed/22199258 http://dx.doi.org/10.1093/nar/gkr1230 |
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author | Shanahan, Hugh P. Memon, Farhat N. Upton, Graham J. G. Harrison, Andrew P. |
author_facet | Shanahan, Hugh P. Memon, Farhat N. Upton, Graham J. G. Harrison, Andrew P. |
author_sort | Shanahan, Hugh P. |
collection | PubMed |
description | Probes with runs of four or more guanines (G-stacks) in their sequences can exhibit a level of hybridization that is unrelated to the expression levels of the mRNA that they are intended to measure. This is most likely caused by the formation of G-quadruplexes, where inter-probe guanines form Hoogsteen hydrogen bonds, which probes with G-stacks are capable of forming. We demonstrate that for a specific microarray data set using the Human HG_U133A Affymetrix GeneChip and RMA normalization there is significant bias in the expression levels, the fold change and the correlations between expression levels. These effects grow more pronounced as the number of G-stack probes in a probe set increases. Approximately 14% of the probe sets are directly affected. The analysis was repeated for a number of other normalization pipelines and two, FARMS and PLIER, minimized the bias to some extent. We estimate that ∼15% of the data sets deposited in the GEO database are susceptible to the effect. The inclusion of G-stack probes in the affected data sets can bias key parameters used in the selection and clustering of genes. The elimination of these probes from any analysis in such affected data sets outweighs the increase of noise in the signal. |
format | Online Article Text |
id | pubmed-3333884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33338842012-04-23 Normalized Affymetrix expression data are biased by G-quadruplex formation Shanahan, Hugh P. Memon, Farhat N. Upton, Graham J. G. Harrison, Andrew P. Nucleic Acids Res Computational Biology Probes with runs of four or more guanines (G-stacks) in their sequences can exhibit a level of hybridization that is unrelated to the expression levels of the mRNA that they are intended to measure. This is most likely caused by the formation of G-quadruplexes, where inter-probe guanines form Hoogsteen hydrogen bonds, which probes with G-stacks are capable of forming. We demonstrate that for a specific microarray data set using the Human HG_U133A Affymetrix GeneChip and RMA normalization there is significant bias in the expression levels, the fold change and the correlations between expression levels. These effects grow more pronounced as the number of G-stack probes in a probe set increases. Approximately 14% of the probe sets are directly affected. The analysis was repeated for a number of other normalization pipelines and two, FARMS and PLIER, minimized the bias to some extent. We estimate that ∼15% of the data sets deposited in the GEO database are susceptible to the effect. The inclusion of G-stack probes in the affected data sets can bias key parameters used in the selection and clustering of genes. The elimination of these probes from any analysis in such affected data sets outweighs the increase of noise in the signal. Oxford University Press 2012-04 2011-12-22 /pmc/articles/PMC3333884/ /pubmed/22199258 http://dx.doi.org/10.1093/nar/gkr1230 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Shanahan, Hugh P. Memon, Farhat N. Upton, Graham J. G. Harrison, Andrew P. Normalized Affymetrix expression data are biased by G-quadruplex formation |
title | Normalized Affymetrix expression data are biased by G-quadruplex formation |
title_full | Normalized Affymetrix expression data are biased by G-quadruplex formation |
title_fullStr | Normalized Affymetrix expression data are biased by G-quadruplex formation |
title_full_unstemmed | Normalized Affymetrix expression data are biased by G-quadruplex formation |
title_short | Normalized Affymetrix expression data are biased by G-quadruplex formation |
title_sort | normalized affymetrix expression data are biased by g-quadruplex formation |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3333884/ https://www.ncbi.nlm.nih.gov/pubmed/22199258 http://dx.doi.org/10.1093/nar/gkr1230 |
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