Orthologous gene-expression profiling in multi-species models: search for candidate genes

Microarray-driven gene-expression profiles are generally produced and analyzed for a single specific experimental model. We have assessed an analytical approach that simultaneously evaluates multi-species experimental models within a particular biological condition using orthologous genes as linkers...

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Detalles Bibliográficos
Autores principales: Grigoryev, Dmitry N, Ma, Shwu-Fan, Irizarry, Rafael A, Ye, Shui Qing, Quackenbush, John, Garcia, Joe GN
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC416470/
https://www.ncbi.nlm.nih.gov/pubmed/15128448
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author Grigoryev, Dmitry N
Ma, Shwu-Fan
Irizarry, Rafael A
Ye, Shui Qing
Quackenbush, John
Garcia, Joe GN
author_facet Grigoryev, Dmitry N
Ma, Shwu-Fan
Irizarry, Rafael A
Ye, Shui Qing
Quackenbush, John
Garcia, Joe GN
author_sort Grigoryev, Dmitry N
collection PubMed
description Microarray-driven gene-expression profiles are generally produced and analyzed for a single specific experimental model. We have assessed an analytical approach that simultaneously evaluates multi-species experimental models within a particular biological condition using orthologous genes as linkers for the various Affymetrix microarray platforms on multi-species models of ventilator-associated lung injury. The results suggest that this approach may be a useful tool in the evaluation of biological processes of interest and selection of process-related candidate genes.
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spelling pubmed-4164702004-05-22 Orthologous gene-expression profiling in multi-species models: search for candidate genes Grigoryev, Dmitry N Ma, Shwu-Fan Irizarry, Rafael A Ye, Shui Qing Quackenbush, John Garcia, Joe GN Genome Biol Method Microarray-driven gene-expression profiles are generally produced and analyzed for a single specific experimental model. We have assessed an analytical approach that simultaneously evaluates multi-species experimental models within a particular biological condition using orthologous genes as linkers for the various Affymetrix microarray platforms on multi-species models of ventilator-associated lung injury. The results suggest that this approach may be a useful tool in the evaluation of biological processes of interest and selection of process-related candidate genes. BioMed Central 2004 2004-04-27 /pmc/articles/PMC416470/ /pubmed/15128448 Text en Copyright © 2004 Grigoryev et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Method
Grigoryev, Dmitry N
Ma, Shwu-Fan
Irizarry, Rafael A
Ye, Shui Qing
Quackenbush, John
Garcia, Joe GN
Orthologous gene-expression profiling in multi-species models: search for candidate genes
title Orthologous gene-expression profiling in multi-species models: search for candidate genes
title_full Orthologous gene-expression profiling in multi-species models: search for candidate genes
title_fullStr Orthologous gene-expression profiling in multi-species models: search for candidate genes
title_full_unstemmed Orthologous gene-expression profiling in multi-species models: search for candidate genes
title_short Orthologous gene-expression profiling in multi-species models: search for candidate genes
title_sort orthologous gene-expression profiling in multi-species models: search for candidate genes
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC416470/
https://www.ncbi.nlm.nih.gov/pubmed/15128448
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