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

Dmitry N. Grigoryev; Shwu Fan Ma; Rafael A. Irizarry; Shui Qing Ye; John Quackenbush; Joe Gn Garcia

doi:10.1186/gb-2004-5-5-r34

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

Dmitry N. Grigoryev, Shwu Fan Ma, Rafael A. Irizarry, Shui Qing Ye, John Quackenbush, Joe Gn Garcia

Research output: Contribution to journal › Article › peer-review

110 Scopus citations

Abstract

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.

Original language	English (US)
Article number	R34
Journal	Genome biology
Volume	5
Issue number	5
DOIs	https://doi.org/10.1186/gb-2004-5-5-r34
State	Published - May 2004
Externally published	Yes

Keywords

Acute Lung Injury
Additional Data File
Gene Ontology
Mechanical Stretch
U133A Array

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Genetics
Cell Biology

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10.1186/gb-2004-5-5-r34

Cite this

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title = "Orthologous gene-expression profiling in multi-species models: search for candidate genes",

abstract = "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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author = "Grigoryev, {Dmitry N.} and Ma, {Shwu Fan} and Irizarry, {Rafael A.} and Ye, {Shui Qing} and John Quackenbush and Garcia, {Joe Gn}",

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year = "2004",

month = may,

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language = "English (US)",

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AU - Grigoryev, Dmitry N.

AU - Ma, Shwu Fan

AU - Irizarry, Rafael A.

AU - Ye, Shui Qing

AU - Quackenbush, John

AU - Garcia, Joe Gn

PY - 2004/5

Y1 - 2004/5

N2 - 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.

AB - 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.

KW - Acute Lung Injury

KW - Additional Data File

KW - Gene Ontology

KW - Mechanical Stretch

KW - U133A Array

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JO - Genome biology

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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