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A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences
BACKGROUND: Microarrays are a popular tool used in experiments to measure gene expression levels. Improving the reproducibility of microarray results produced by different chips from various manufacturers is important to create comparable and combinable experimental results. Alternative splicing has...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2000902/ https://www.ncbi.nlm.nih.gov/pubmed/17708771 http://dx.doi.org/10.1186/1471-2164-8-284 |
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author | Lee, Joseph C Stiles, David Lu, Jun Cam, Margaret C |
author_facet | Lee, Joseph C Stiles, David Lu, Jun Cam, Margaret C |
author_sort | Lee, Joseph C |
collection | PubMed |
description | BACKGROUND: Microarrays are a popular tool used in experiments to measure gene expression levels. Improving the reproducibility of microarray results produced by different chips from various manufacturers is important to create comparable and combinable experimental results. Alternative splicing has been cited as a possible cause of differences in expression measurements across platforms, though no study to this point has been conducted to show its influence in cross-platform differences. RESULTS: Using probe sequence data, a new microarray probe/transcript annotation was created based on the AceView Aug05 release that allowed for the categorization of genes based on their expression measurements' susceptibility to alternative splicing differences across microarray platforms. Examining gene expression data from multiple platforms in light of the new categorization, genes unsusceptible to alternative splicing differences showed higher signal agreement than those genes most susceptible to alternative splicing differences. The analysis gave rise to a different probe-level visualization method that can highlight probe differences according to transcript specificity. CONCLUSION: The results highlight the need for detailed probe annotation at the transcriptome level. The presence of alternative splicing within a given sample can affect gene expression measurements and is a contributing factor to overall technical differences across platforms. |
format | Text |
id | pubmed-2000902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-20009022007-10-05 A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences Lee, Joseph C Stiles, David Lu, Jun Cam, Margaret C BMC Genomics Research Article BACKGROUND: Microarrays are a popular tool used in experiments to measure gene expression levels. Improving the reproducibility of microarray results produced by different chips from various manufacturers is important to create comparable and combinable experimental results. Alternative splicing has been cited as a possible cause of differences in expression measurements across platforms, though no study to this point has been conducted to show its influence in cross-platform differences. RESULTS: Using probe sequence data, a new microarray probe/transcript annotation was created based on the AceView Aug05 release that allowed for the categorization of genes based on their expression measurements' susceptibility to alternative splicing differences across microarray platforms. Examining gene expression data from multiple platforms in light of the new categorization, genes unsusceptible to alternative splicing differences showed higher signal agreement than those genes most susceptible to alternative splicing differences. The analysis gave rise to a different probe-level visualization method that can highlight probe differences according to transcript specificity. CONCLUSION: The results highlight the need for detailed probe annotation at the transcriptome level. The presence of alternative splicing within a given sample can affect gene expression measurements and is a contributing factor to overall technical differences across platforms. BioMed Central 2007-08-20 /pmc/articles/PMC2000902/ /pubmed/17708771 http://dx.doi.org/10.1186/1471-2164-8-284 Text en Copyright © 2007 Lee et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lee, Joseph C Stiles, David Lu, Jun Cam, Margaret C A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences |
title | A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences |
title_full | A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences |
title_fullStr | A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences |
title_full_unstemmed | A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences |
title_short | A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences |
title_sort | detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2000902/ https://www.ncbi.nlm.nih.gov/pubmed/17708771 http://dx.doi.org/10.1186/1471-2164-8-284 |
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