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MediPlEx - a tool to combine in silico & experimental gene expression profiles of the model legume Medicago truncatula

BACKGROUND: Expressed Sequence Tags (ESTs) are in general used to gain a first insight into gene activities from a species of interest. Subsequently, and typically based on a combination of EST and genome sequences, microarray-based expression analyses are performed for a variety of conditions. In s...

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Autores principales: Henckel, Kolja, Küster, Helge, Stutz, Leonhard J, Goesmann, Alexander
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2972298/
https://www.ncbi.nlm.nih.gov/pubmed/20958970
http://dx.doi.org/10.1186/1756-0500-3-262
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author Henckel, Kolja
Küster, Helge
Stutz, Leonhard J
Goesmann, Alexander
author_facet Henckel, Kolja
Küster, Helge
Stutz, Leonhard J
Goesmann, Alexander
author_sort Henckel, Kolja
collection PubMed
description BACKGROUND: Expressed Sequence Tags (ESTs) are in general used to gain a first insight into gene activities from a species of interest. Subsequently, and typically based on a combination of EST and genome sequences, microarray-based expression analyses are performed for a variety of conditions. In some cases, a multitude of EST and microarray experiments are conducted for one species, covering different tissues, cell states, and cell types. Under these circumstances, the challenge arises to combine results derived from the different expression profiling strategies, with the goal to uncover novel information on the basis of the integrated datasets. FINDINGS: Using our new analysis tool, MediPlEx (MEDIcago truncatula multiPLe EXpression analysis), expression data from EST experiments, oligonucleotide microarrays and Affymetrix GeneChips(® )can be combined and analyzed, leading to a novel approach to integrated transcriptome analysis. We have validated our tool via the identification of a set of well-characterized AM-specific and AM-induced marker genes, identified by MediPlEx on the basis of in silico and experimental gene expression profiles from roots colonized with AM fungi. CONCLUSIONS: MediPlEx offers an integrated analysis pipeline for different sets of expression data generated for the model legume Medicago truncatula. As expected, in silico and experimental gene expression data that cover the same biological condition correlate well. The collection of differentially expressed genes identified via MediPlEx provides a starting point for functional studies in plant mutants. MediPlEx can freely be used at http://www.cebitec.uni-bielefeld.de/mediplex.
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spelling pubmed-29722982010-11-04 MediPlEx - a tool to combine in silico & experimental gene expression profiles of the model legume Medicago truncatula Henckel, Kolja Küster, Helge Stutz, Leonhard J Goesmann, Alexander BMC Res Notes Technical Note BACKGROUND: Expressed Sequence Tags (ESTs) are in general used to gain a first insight into gene activities from a species of interest. Subsequently, and typically based on a combination of EST and genome sequences, microarray-based expression analyses are performed for a variety of conditions. In some cases, a multitude of EST and microarray experiments are conducted for one species, covering different tissues, cell states, and cell types. Under these circumstances, the challenge arises to combine results derived from the different expression profiling strategies, with the goal to uncover novel information on the basis of the integrated datasets. FINDINGS: Using our new analysis tool, MediPlEx (MEDIcago truncatula multiPLe EXpression analysis), expression data from EST experiments, oligonucleotide microarrays and Affymetrix GeneChips(® )can be combined and analyzed, leading to a novel approach to integrated transcriptome analysis. We have validated our tool via the identification of a set of well-characterized AM-specific and AM-induced marker genes, identified by MediPlEx on the basis of in silico and experimental gene expression profiles from roots colonized with AM fungi. CONCLUSIONS: MediPlEx offers an integrated analysis pipeline for different sets of expression data generated for the model legume Medicago truncatula. As expected, in silico and experimental gene expression data that cover the same biological condition correlate well. The collection of differentially expressed genes identified via MediPlEx provides a starting point for functional studies in plant mutants. MediPlEx can freely be used at http://www.cebitec.uni-bielefeld.de/mediplex. BioMed Central 2010-10-19 /pmc/articles/PMC2972298/ /pubmed/20958970 http://dx.doi.org/10.1186/1756-0500-3-262 Text en Copyright ©2010 Henckel 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 Technical Note
Henckel, Kolja
Küster, Helge
Stutz, Leonhard J
Goesmann, Alexander
MediPlEx - a tool to combine in silico & experimental gene expression profiles of the model legume Medicago truncatula
title MediPlEx - a tool to combine in silico & experimental gene expression profiles of the model legume Medicago truncatula
title_full MediPlEx - a tool to combine in silico & experimental gene expression profiles of the model legume Medicago truncatula
title_fullStr MediPlEx - a tool to combine in silico & experimental gene expression profiles of the model legume Medicago truncatula
title_full_unstemmed MediPlEx - a tool to combine in silico & experimental gene expression profiles of the model legume Medicago truncatula
title_short MediPlEx - a tool to combine in silico & experimental gene expression profiles of the model legume Medicago truncatula
title_sort mediplex - a tool to combine in silico & experimental gene expression profiles of the model legume medicago truncatula
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2972298/
https://www.ncbi.nlm.nih.gov/pubmed/20958970
http://dx.doi.org/10.1186/1756-0500-3-262
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