Multiway real-time PCR gene expression profiling in yeast <it>Saccharomyces cerevisiae </it>reveals altered transcriptional response of <it>ADH</it>-genes to glucose stimuli

<p>Abstract</p> <p>Background</p> <p>The large sensitivity, high reproducibility and essentially unlimited dynamic range of real-time PCR to measure gene expression in complex samples provides the opportunity for powerful multivariate and multiway studies of biological...

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Main Authors: Andrade-Garda José, Elbing Karin, Ståhlberg Anders, Sjögreen Björn, Forootan Amin, Kubista Mikael
Format: Article
Language:English
Published: BMC 2008-04-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/9/170
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spelling doaj-8cbb7b3e5318457e98c231d2333659d02020-11-24T22:16:04ZengBMCBMC Genomics1471-21642008-04-019117010.1186/1471-2164-9-170Multiway real-time PCR gene expression profiling in yeast <it>Saccharomyces cerevisiae </it>reveals altered transcriptional response of <it>ADH</it>-genes to glucose stimuliAndrade-Garda JoséElbing KarinStåhlberg AndersSjögreen BjörnForootan AminKubista Mikael<p>Abstract</p> <p>Background</p> <p>The large sensitivity, high reproducibility and essentially unlimited dynamic range of real-time PCR to measure gene expression in complex samples provides the opportunity for powerful multivariate and multiway studies of biological phenomena. In multiway studies samples are characterized by their expression profiles to monitor changes over time, effect of treatment, drug dosage etc. Here we perform a multiway study of the temporal response of four yeast <it>Saccharomyces cerevisiae </it>strains with different glucose uptake rates upon altered metabolic conditions.</p> <p>Results</p> <p>We measured the expression of 18 genes as function of time after addition of glucose to four strains of yeast grown in ethanol. The data are analyzed by matrix-augmented PCA, which is a generalization of PCA for 3-way data, and the results are confirmed by hierarchical clustering and clustering by Kohonen self-organizing map. Our approach identifies gene groups that respond similarly to the change of nutrient, and genes that behave differently in mutant strains. Of particular interest is our finding that <it>ADH4 </it>and <it>ADH6 </it>show a behavior typical of glucose-induced genes, while <it>ADH3 </it>and <it>ADH5 </it>are repressed after glucose addition.</p> <p>Conclusion</p> <p>Multiway real-time PCR gene expression profiling is a powerful technique which can be utilized to characterize functions of new genes by, for example, comparing their temporal response after perturbation in different genetic variants of the studied subject. The technique also identifies genes that show perturbed expression in specific strains.</p> http://www.biomedcentral.com/1471-2164/9/170
collection DOAJ
language English
format Article
sources DOAJ
author Andrade-Garda José
Elbing Karin
Ståhlberg Anders
Sjögreen Björn
Forootan Amin
Kubista Mikael
spellingShingle Andrade-Garda José
Elbing Karin
Ståhlberg Anders
Sjögreen Björn
Forootan Amin
Kubista Mikael
Multiway real-time PCR gene expression profiling in yeast <it>Saccharomyces cerevisiae </it>reveals altered transcriptional response of <it>ADH</it>-genes to glucose stimuli
BMC Genomics
author_facet Andrade-Garda José
Elbing Karin
Ståhlberg Anders
Sjögreen Björn
Forootan Amin
Kubista Mikael
author_sort Andrade-Garda José
title Multiway real-time PCR gene expression profiling in yeast <it>Saccharomyces cerevisiae </it>reveals altered transcriptional response of <it>ADH</it>-genes to glucose stimuli
title_short Multiway real-time PCR gene expression profiling in yeast <it>Saccharomyces cerevisiae </it>reveals altered transcriptional response of <it>ADH</it>-genes to glucose stimuli
title_full Multiway real-time PCR gene expression profiling in yeast <it>Saccharomyces cerevisiae </it>reveals altered transcriptional response of <it>ADH</it>-genes to glucose stimuli
title_fullStr Multiway real-time PCR gene expression profiling in yeast <it>Saccharomyces cerevisiae </it>reveals altered transcriptional response of <it>ADH</it>-genes to glucose stimuli
title_full_unstemmed Multiway real-time PCR gene expression profiling in yeast <it>Saccharomyces cerevisiae </it>reveals altered transcriptional response of <it>ADH</it>-genes to glucose stimuli
title_sort multiway real-time pcr gene expression profiling in yeast <it>saccharomyces cerevisiae </it>reveals altered transcriptional response of <it>adh</it>-genes to glucose stimuli
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2008-04-01
description <p>Abstract</p> <p>Background</p> <p>The large sensitivity, high reproducibility and essentially unlimited dynamic range of real-time PCR to measure gene expression in complex samples provides the opportunity for powerful multivariate and multiway studies of biological phenomena. In multiway studies samples are characterized by their expression profiles to monitor changes over time, effect of treatment, drug dosage etc. Here we perform a multiway study of the temporal response of four yeast <it>Saccharomyces cerevisiae </it>strains with different glucose uptake rates upon altered metabolic conditions.</p> <p>Results</p> <p>We measured the expression of 18 genes as function of time after addition of glucose to four strains of yeast grown in ethanol. The data are analyzed by matrix-augmented PCA, which is a generalization of PCA for 3-way data, and the results are confirmed by hierarchical clustering and clustering by Kohonen self-organizing map. Our approach identifies gene groups that respond similarly to the change of nutrient, and genes that behave differently in mutant strains. Of particular interest is our finding that <it>ADH4 </it>and <it>ADH6 </it>show a behavior typical of glucose-induced genes, while <it>ADH3 </it>and <it>ADH5 </it>are repressed after glucose addition.</p> <p>Conclusion</p> <p>Multiway real-time PCR gene expression profiling is a powerful technique which can be utilized to characterize functions of new genes by, for example, comparing their temporal response after perturbation in different genetic variants of the studied subject. The technique also identifies genes that show perturbed expression in specific strains.</p>
url http://www.biomedcentral.com/1471-2164/9/170
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