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Reproducibility of gene expression across generations of Affymetrix microarrays
BACKGROUND: The development of large-scale gene expression profiling technologies is rapidly changing the norms of biological investigation. But the rapid pace of change itself presents challenges. Commercial microarrays are regularly modified to incorporate new genes and improved target sequences....
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2003
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC165600/ https://www.ncbi.nlm.nih.gov/pubmed/12823866 http://dx.doi.org/10.1186/1471-2105-4-27 |
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author | Nimgaonkar, Ashish Sanoudou, Despina Butte, Atul J Haslett, Judith N Kunkel, Louis M Beggs, Alan H Kohane, Isaac S |
author_facet | Nimgaonkar, Ashish Sanoudou, Despina Butte, Atul J Haslett, Judith N Kunkel, Louis M Beggs, Alan H Kohane, Isaac S |
author_sort | Nimgaonkar, Ashish |
collection | PubMed |
description | BACKGROUND: The development of large-scale gene expression profiling technologies is rapidly changing the norms of biological investigation. But the rapid pace of change itself presents challenges. Commercial microarrays are regularly modified to incorporate new genes and improved target sequences. Although the ability to compare datasets across generations is crucial for any long-term research project, to date no means to allow such comparisons have been developed. In this study the reproducibility of gene expression levels across two generations of Affymetrix GeneChips(® )(HuGeneFL and HG-U95A) was measured. RESULTS: Correlation coefficients were computed for gene expression values across chip generations based on different measures of similarity. Comparing the absolute calls assigned to the individual probe sets across the generations found them to be largely unchanged. CONCLUSION: We show that experimental replicates are highly reproducible, but that reproducibility across generations depends on the degree of similarity of the probe sets and the expression level of the corresponding transcript. |
format | Text |
id | pubmed-165600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-1656002003-07-16 Reproducibility of gene expression across generations of Affymetrix microarrays Nimgaonkar, Ashish Sanoudou, Despina Butte, Atul J Haslett, Judith N Kunkel, Louis M Beggs, Alan H Kohane, Isaac S BMC Bioinformatics Methodology Article BACKGROUND: The development of large-scale gene expression profiling technologies is rapidly changing the norms of biological investigation. But the rapid pace of change itself presents challenges. Commercial microarrays are regularly modified to incorporate new genes and improved target sequences. Although the ability to compare datasets across generations is crucial for any long-term research project, to date no means to allow such comparisons have been developed. In this study the reproducibility of gene expression levels across two generations of Affymetrix GeneChips(® )(HuGeneFL and HG-U95A) was measured. RESULTS: Correlation coefficients were computed for gene expression values across chip generations based on different measures of similarity. Comparing the absolute calls assigned to the individual probe sets across the generations found them to be largely unchanged. CONCLUSION: We show that experimental replicates are highly reproducible, but that reproducibility across generations depends on the degree of similarity of the probe sets and the expression level of the corresponding transcript. BioMed Central 2003-06-25 /pmc/articles/PMC165600/ /pubmed/12823866 http://dx.doi.org/10.1186/1471-2105-4-27 Text en Copyright © 2003 Nimgaonkar et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Methodology Article Nimgaonkar, Ashish Sanoudou, Despina Butte, Atul J Haslett, Judith N Kunkel, Louis M Beggs, Alan H Kohane, Isaac S Reproducibility of gene expression across generations of Affymetrix microarrays |
title | Reproducibility of gene expression across generations of Affymetrix microarrays |
title_full | Reproducibility of gene expression across generations of Affymetrix microarrays |
title_fullStr | Reproducibility of gene expression across generations of Affymetrix microarrays |
title_full_unstemmed | Reproducibility of gene expression across generations of Affymetrix microarrays |
title_short | Reproducibility of gene expression across generations of Affymetrix microarrays |
title_sort | reproducibility of gene expression across generations of affymetrix microarrays |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC165600/ https://www.ncbi.nlm.nih.gov/pubmed/12823866 http://dx.doi.org/10.1186/1471-2105-4-27 |
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