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Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome

The serial analysis of gene expression (SAGE) method is used to study global gene expression in cells or tissues in various experimental conditions. However, its reproducibility has not yet been definitively assessed. In this study, we have evaluated the reproducibility of the SAGE method and identi...

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Detalles Bibliográficos
Autores principales: Dinel, S., Bolduc, C., Belleau, P., Boivin, A., Yoshioka, M., Calvo, E., Piedboeuf, B., Snyder, E. E., Labrie, F., St-Amand, J.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC549424/
https://www.ncbi.nlm.nih.gov/pubmed/15716308
http://dx.doi.org/10.1093/nar/gni025
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author Dinel, S.
Bolduc, C.
Belleau, P.
Boivin, A.
Yoshioka, M.
Calvo, E.
Piedboeuf, B.
Snyder, E. E.
Labrie, F.
St-Amand, J.
author_facet Dinel, S.
Bolduc, C.
Belleau, P.
Boivin, A.
Yoshioka, M.
Calvo, E.
Piedboeuf, B.
Snyder, E. E.
Labrie, F.
St-Amand, J.
author_sort Dinel, S.
collection PubMed
description The serial analysis of gene expression (SAGE) method is used to study global gene expression in cells or tissues in various experimental conditions. However, its reproducibility has not yet been definitively assessed. In this study, we have evaluated the reproducibility of the SAGE method and identified the factors that affect it. The determination coefficient (R(2)) for the reproducibility of SAGE is 0.96. However, there are some factors that can affect the reproducibility of SAGE, such as the replication of concatemers and ditags, the number of sequenced tags and double PCR amplification of ditags. Thus, corrections for these factors must be made to ensure the reproducibility and accuracy of SAGE results. A bioinformatic analysis of SAGE data is also presented in order to eliminate these artifacts. Finally, the current study shows that increasing the number of sequenced tags improves the power of the method to detect transcripts and their regulation by experimental conditions.
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spelling pubmed-5494242005-02-24 Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome Dinel, S. Bolduc, C. Belleau, P. Boivin, A. Yoshioka, M. Calvo, E. Piedboeuf, B. Snyder, E. E. Labrie, F. St-Amand, J. Nucleic Acids Res Methods Online The serial analysis of gene expression (SAGE) method is used to study global gene expression in cells or tissues in various experimental conditions. However, its reproducibility has not yet been definitively assessed. In this study, we have evaluated the reproducibility of the SAGE method and identified the factors that affect it. The determination coefficient (R(2)) for the reproducibility of SAGE is 0.96. However, there are some factors that can affect the reproducibility of SAGE, such as the replication of concatemers and ditags, the number of sequenced tags and double PCR amplification of ditags. Thus, corrections for these factors must be made to ensure the reproducibility and accuracy of SAGE results. A bioinformatic analysis of SAGE data is also presented in order to eliminate these artifacts. Finally, the current study shows that increasing the number of sequenced tags improves the power of the method to detect transcripts and their regulation by experimental conditions. Oxford University Press 2005 2005-02-16 /pmc/articles/PMC549424/ /pubmed/15716308 http://dx.doi.org/10.1093/nar/gni025 Text en © The Author 2005. Published by Oxford University Press. All rights reserved
spellingShingle Methods Online
Dinel, S.
Bolduc, C.
Belleau, P.
Boivin, A.
Yoshioka, M.
Calvo, E.
Piedboeuf, B.
Snyder, E. E.
Labrie, F.
St-Amand, J.
Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome
title Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome
title_full Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome
title_fullStr Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome
title_full_unstemmed Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome
title_short Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome
title_sort reproducibility, bioinformatic analysis and power of the sage method to evaluate changes in transcriptome
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC549424/
https://www.ncbi.nlm.nih.gov/pubmed/15716308
http://dx.doi.org/10.1093/nar/gni025
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