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Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation

Gene expression analysis performed through comparative abundance of transcripts is facing a new challenge with the increasing need to compare samples of known cell number, such as early embryos or laser microbiopsies, where the RNA contents of identical cellular inputs can by nature be variable. Whe...

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Detalles Bibliográficos
Autores principales: Gilbert, Isabelle, Scantland, Sara, Dufort, Isabelle, Gordynska, Olga, Labbe, Aurélie, Sirard, Marc-André, Robert, Claude
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677895/
https://www.ncbi.nlm.nih.gov/pubmed/19336411
http://dx.doi.org/10.1093/nar/gkp193
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author Gilbert, Isabelle
Scantland, Sara
Dufort, Isabelle
Gordynska, Olga
Labbe, Aurélie
Sirard, Marc-André
Robert, Claude
author_facet Gilbert, Isabelle
Scantland, Sara
Dufort, Isabelle
Gordynska, Olga
Labbe, Aurélie
Sirard, Marc-André
Robert, Claude
author_sort Gilbert, Isabelle
collection PubMed
description Gene expression analysis performed through comparative abundance of transcripts is facing a new challenge with the increasing need to compare samples of known cell number, such as early embryos or laser microbiopsies, where the RNA contents of identical cellular inputs can by nature be variable. When working with scarce tissues, the success of microarray profiling largely depends on the efficiency of the amplification step as determined by its ability to preserve the relative abundance of transcripts in the resulting amplified sample. Maintaining this initial relative abundance across samples is paramount to the generation of physiologically relevant data when comparing samples of different RNA content. The T7 RNA polymerase (T7-IVT) amplification is widely used for microarray sample preparation. Characterization of the reaction's kinetics has clearly indicated that its true linear phase is of short duration and is followed by a nonlinear phase. This second phase leads to modifications in transcript abundance that biases comparison between samples of different types. The impact assessment performed in this study has shown that the standard amplification protocol significantly lowers the quality of microarray data, rendering more than half of differentially expressed candidates undetected and distorting the true proportional differences of all candidates analyzed.
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spelling pubmed-26778952009-05-15 Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation Gilbert, Isabelle Scantland, Sara Dufort, Isabelle Gordynska, Olga Labbe, Aurélie Sirard, Marc-André Robert, Claude Nucleic Acids Res Methods Online Gene expression analysis performed through comparative abundance of transcripts is facing a new challenge with the increasing need to compare samples of known cell number, such as early embryos or laser microbiopsies, where the RNA contents of identical cellular inputs can by nature be variable. When working with scarce tissues, the success of microarray profiling largely depends on the efficiency of the amplification step as determined by its ability to preserve the relative abundance of transcripts in the resulting amplified sample. Maintaining this initial relative abundance across samples is paramount to the generation of physiologically relevant data when comparing samples of different RNA content. The T7 RNA polymerase (T7-IVT) amplification is widely used for microarray sample preparation. Characterization of the reaction's kinetics has clearly indicated that its true linear phase is of short duration and is followed by a nonlinear phase. This second phase leads to modifications in transcript abundance that biases comparison between samples of different types. The impact assessment performed in this study has shown that the standard amplification protocol significantly lowers the quality of microarray data, rendering more than half of differentially expressed candidates undetected and distorting the true proportional differences of all candidates analyzed. Oxford University Press 2009-05 2009-03-30 /pmc/articles/PMC2677895/ /pubmed/19336411 http://dx.doi.org/10.1093/nar/gkp193 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Gilbert, Isabelle
Scantland, Sara
Dufort, Isabelle
Gordynska, Olga
Labbe, Aurélie
Sirard, Marc-André
Robert, Claude
Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation
title Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation
title_full Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation
title_fullStr Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation
title_full_unstemmed Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation
title_short Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation
title_sort real-time monitoring of arna production during t7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677895/
https://www.ncbi.nlm.nih.gov/pubmed/19336411
http://dx.doi.org/10.1093/nar/gkp193
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