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Comparison of standard exponential and linear techniques to amplify small cDNA samples for microarrays

BACKGROUND: The need to perform microarray experiments with small amounts of tissue has led to the development of several protocols for amplifying the target transcripts. The use of different amplification protocols could affect the comparability of microarray experiments. RESULTS: Here we compare e...

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Autores principales: Wadenbäck, Johan, Clapham, David H, Craig, Deborah, Sederoff, Ronald, Peter, Gary F, von Arnold, Sara, Egertsdotter, Ulrika
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1134654/
https://www.ncbi.nlm.nih.gov/pubmed/15871737
http://dx.doi.org/10.1186/1471-2164-6-61
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author Wadenbäck, Johan
Clapham, David H
Craig, Deborah
Sederoff, Ronald
Peter, Gary F
von Arnold, Sara
Egertsdotter, Ulrika
author_facet Wadenbäck, Johan
Clapham, David H
Craig, Deborah
Sederoff, Ronald
Peter, Gary F
von Arnold, Sara
Egertsdotter, Ulrika
author_sort Wadenbäck, Johan
collection PubMed
description BACKGROUND: The need to perform microarray experiments with small amounts of tissue has led to the development of several protocols for amplifying the target transcripts. The use of different amplification protocols could affect the comparability of microarray experiments. RESULTS: Here we compare expression data from Pinus taeda cDNA microarrays using transcripts amplified either exponentially by PCR or linearly by T7 transcription. The amplified transcripts vary significantly in estimated length, GC content and expression depending on amplification technique. Amplification by T7 RNA polymerase gives transcripts with a greater range of lengths, greater estimated mean length, and greater variation of expression levels, but lower average GC content, than those from PCR amplification. For genes with significantly higher expression after T7 transcription than after PCR, the transcripts were 27% longer and had about 2 percentage units lower GC content. The correlation of expression intensities between technical repeats was high for both methods (R(2 )= 0.98) whereas the correlation of expression intensities using the different methods was considerably lower (R(2 )= 0.52). Correlation of expression intensities between amplified and unamplified transcripts were intermediate (R(2 )= 0.68–0.77). CONCLUSION: Amplification with T7 transcription better reflects the variation of the unamplified transcriptome than PCR based methods owing to the better representation of long transcripts. If transcripts of particular interest are known to have high GC content and are of limited length, however, PCR-based methods may be preferable.
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spelling pubmed-11346542005-05-21 Comparison of standard exponential and linear techniques to amplify small cDNA samples for microarrays Wadenbäck, Johan Clapham, David H Craig, Deborah Sederoff, Ronald Peter, Gary F von Arnold, Sara Egertsdotter, Ulrika BMC Genomics Research Article BACKGROUND: The need to perform microarray experiments with small amounts of tissue has led to the development of several protocols for amplifying the target transcripts. The use of different amplification protocols could affect the comparability of microarray experiments. RESULTS: Here we compare expression data from Pinus taeda cDNA microarrays using transcripts amplified either exponentially by PCR or linearly by T7 transcription. The amplified transcripts vary significantly in estimated length, GC content and expression depending on amplification technique. Amplification by T7 RNA polymerase gives transcripts with a greater range of lengths, greater estimated mean length, and greater variation of expression levels, but lower average GC content, than those from PCR amplification. For genes with significantly higher expression after T7 transcription than after PCR, the transcripts were 27% longer and had about 2 percentage units lower GC content. The correlation of expression intensities between technical repeats was high for both methods (R(2 )= 0.98) whereas the correlation of expression intensities using the different methods was considerably lower (R(2 )= 0.52). Correlation of expression intensities between amplified and unamplified transcripts were intermediate (R(2 )= 0.68–0.77). CONCLUSION: Amplification with T7 transcription better reflects the variation of the unamplified transcriptome than PCR based methods owing to the better representation of long transcripts. If transcripts of particular interest are known to have high GC content and are of limited length, however, PCR-based methods may be preferable. BioMed Central 2005-05-04 /pmc/articles/PMC1134654/ /pubmed/15871737 http://dx.doi.org/10.1186/1471-2164-6-61 Text en Copyright © 2005 Wadenbäck 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
Wadenbäck, Johan
Clapham, David H
Craig, Deborah
Sederoff, Ronald
Peter, Gary F
von Arnold, Sara
Egertsdotter, Ulrika
Comparison of standard exponential and linear techniques to amplify small cDNA samples for microarrays
title Comparison of standard exponential and linear techniques to amplify small cDNA samples for microarrays
title_full Comparison of standard exponential and linear techniques to amplify small cDNA samples for microarrays
title_fullStr Comparison of standard exponential and linear techniques to amplify small cDNA samples for microarrays
title_full_unstemmed Comparison of standard exponential and linear techniques to amplify small cDNA samples for microarrays
title_short Comparison of standard exponential and linear techniques to amplify small cDNA samples for microarrays
title_sort comparison of standard exponential and linear techniques to amplify small cdna samples for microarrays
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1134654/
https://www.ncbi.nlm.nih.gov/pubmed/15871737
http://dx.doi.org/10.1186/1471-2164-6-61
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