In silico analysis of gene expression profiles in the olfactory mucosae of aging senescence-accelerated mice

Thomas V. Getchell; Xuejun Peng; C. Paul Green; Arnold J. Stromberg; Kuey Chu Chen; Mark P. Mattson; Marilyn L. Getchell

doi:10.1002/jnr.20157

In silico analysis of gene expression profiles in the olfactory mucosae of aging senescence-accelerated mice

Thomas V. Getchell, Xuejun Peng, C. Paul Green, Arnold J. Stromberg, Kuey Chu Chen, Mark P. Mattson, Marilyn L. Getchell

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

9 Scopus citations

Abstract

We utilized high-density Affymetrix oligonucleotide arrays to investigate gene expression in the olfactory mucosae of near age-matched aging senescence-accelerated mice (SAM). The senescence-prone (SAMP) strain has a significantly shorter lifespan than does the senescence-resistant (SAMR) strain. To analyze our data, we applied biostatistical methods that included a correlation analysis to evaluate sources of methodologic and biological variability; a two-sided t-test to identify a subpopulation of Present genes with a biologically relevant P-value

Original language	English (US)
Pages (from-to)	430-452
Number of pages	23
Journal	Journal of Neuroscience Research
Volume	77
Issue number	3
DOIs	https://doi.org/10.1002/jnr.20157
State	Published - Aug 1 2004
Externally published	Yes

Keywords

Bioinformatics analysis
Gene profiling
Gompertz equation
Microarrays
Molecular senescence

ASJC Scopus subject areas

General Neuroscience

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10.1002/jnr.20157

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title = "In silico analysis of gene expression profiles in the olfactory mucosae of aging senescence-accelerated mice",

abstract = "We utilized high-density Affymetrix oligonucleotide arrays to investigate gene expression in the olfactory mucosae of near age-matched aging senescence-accelerated mice (SAM). The senescence-prone (SAMP) strain has a significantly shorter lifespan than does the senescence-resistant (SAMR) strain. To analyze our data, we applied biostatistical methods that included a correlation analysis to evaluate sources of methodologic and biological variability; a two-sided t-test to identify a subpopulation of Present genes with a biologically relevant P-value ",

keywords = "Bioinformatics analysis, Gene profiling, Gompertz equation, Microarrays, Molecular senescence",

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AU - Getchell, Thomas V.

AU - Peng, Xuejun

AU - Green, C. Paul

AU - Stromberg, Arnold J.

AU - Chen, Kuey Chu

AU - Mattson, Mark P.

AU - Getchell, Marilyn L.

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AB - We utilized high-density Affymetrix oligonucleotide arrays to investigate gene expression in the olfactory mucosae of near age-matched aging senescence-accelerated mice (SAM). The senescence-prone (SAMP) strain has a significantly shorter lifespan than does the senescence-resistant (SAMR) strain. To analyze our data, we applied biostatistical methods that included a correlation analysis to evaluate sources of methodologic and biological variability; a two-sided t-test to identify a subpopulation of Present genes with a biologically relevant P-value

KW - Bioinformatics analysis

KW - Gene profiling

KW - Gompertz equation

KW - Microarrays

KW - Molecular senescence

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In silico analysis of gene expression profiles in the olfactory mucosae of aging senescence-accelerated mice

Abstract

Keywords

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