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A DNA microarray survey of gene expression in normal human tissues

BACKGROUND: Numerous studies have used DNA microarrays to survey gene expression in cancer and other disease states. Comparatively little is known about the genes expressed across the gamut of normal human tissues. Systematic studies of global gene-expression patterns, by linking variation in the ex...

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Autores principales: Shyamsundar, Radha, Kim, Young H, Higgins, John P, Montgomery, Kelli, Jorden, Michelle, Sethuraman, Anand, van de Rijn, Matt, Botstein, David, Brown, Patrick O, Pollack, Jonathan R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1088941/
https://www.ncbi.nlm.nih.gov/pubmed/15774023
http://dx.doi.org/10.1186/gb-2005-6-3-r22
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author Shyamsundar, Radha
Kim, Young H
Higgins, John P
Montgomery, Kelli
Jorden, Michelle
Sethuraman, Anand
van de Rijn, Matt
Botstein, David
Brown, Patrick O
Pollack, Jonathan R
author_facet Shyamsundar, Radha
Kim, Young H
Higgins, John P
Montgomery, Kelli
Jorden, Michelle
Sethuraman, Anand
van de Rijn, Matt
Botstein, David
Brown, Patrick O
Pollack, Jonathan R
author_sort Shyamsundar, Radha
collection PubMed
description BACKGROUND: Numerous studies have used DNA microarrays to survey gene expression in cancer and other disease states. Comparatively little is known about the genes expressed across the gamut of normal human tissues. Systematic studies of global gene-expression patterns, by linking variation in the expression of specific genes to phenotypic variation in the cells or tissues in which they are expressed, provide clues to the molecular organization of diverse cells and to the potential roles of the genes. RESULTS: Here we describe a systematic survey of gene expression in 115 human tissue samples representing 35 different tissue types, using cDNA microarrays representing approximately 26,000 different human genes. Unsupervised hierarchical cluster analysis of the gene-expression patterns in these tissues identified clusters of genes with related biological functions and grouped the tissue specimens in a pattern that reflected their anatomic locations, cellular compositions or physiologic functions. In unsupervised and supervised analyses, tissue-specific patterns of gene expression were readily discernable. By comparative hybridization to normal genomic DNA, we were also able to estimate transcript abundances for expressed genes. CONCLUSIONS: Our dataset provides a baseline for comparison to diseased tissues, and will aid in the identification of tissue-specific functions. In addition, our analysis identifies potential molecular markers for detection of injury to specific organs and tissues, and provides a foundation for selection of potential targets for selective anticancer therapy.
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spelling pubmed-10889412005-05-05 A DNA microarray survey of gene expression in normal human tissues Shyamsundar, Radha Kim, Young H Higgins, John P Montgomery, Kelli Jorden, Michelle Sethuraman, Anand van de Rijn, Matt Botstein, David Brown, Patrick O Pollack, Jonathan R Genome Biol Research BACKGROUND: Numerous studies have used DNA microarrays to survey gene expression in cancer and other disease states. Comparatively little is known about the genes expressed across the gamut of normal human tissues. Systematic studies of global gene-expression patterns, by linking variation in the expression of specific genes to phenotypic variation in the cells or tissues in which they are expressed, provide clues to the molecular organization of diverse cells and to the potential roles of the genes. RESULTS: Here we describe a systematic survey of gene expression in 115 human tissue samples representing 35 different tissue types, using cDNA microarrays representing approximately 26,000 different human genes. Unsupervised hierarchical cluster analysis of the gene-expression patterns in these tissues identified clusters of genes with related biological functions and grouped the tissue specimens in a pattern that reflected their anatomic locations, cellular compositions or physiologic functions. In unsupervised and supervised analyses, tissue-specific patterns of gene expression were readily discernable. By comparative hybridization to normal genomic DNA, we were also able to estimate transcript abundances for expressed genes. CONCLUSIONS: Our dataset provides a baseline for comparison to diseased tissues, and will aid in the identification of tissue-specific functions. In addition, our analysis identifies potential molecular markers for detection of injury to specific organs and tissues, and provides a foundation for selection of potential targets for selective anticancer therapy. BioMed Central 2005 2005-02-14 /pmc/articles/PMC1088941/ /pubmed/15774023 http://dx.doi.org/10.1186/gb-2005-6-3-r22 Text en Copyright © 2005 Shyamsundar et al.; licensee BioMed Central Ltd.
spellingShingle Research
Shyamsundar, Radha
Kim, Young H
Higgins, John P
Montgomery, Kelli
Jorden, Michelle
Sethuraman, Anand
van de Rijn, Matt
Botstein, David
Brown, Patrick O
Pollack, Jonathan R
A DNA microarray survey of gene expression in normal human tissues
title A DNA microarray survey of gene expression in normal human tissues
title_full A DNA microarray survey of gene expression in normal human tissues
title_fullStr A DNA microarray survey of gene expression in normal human tissues
title_full_unstemmed A DNA microarray survey of gene expression in normal human tissues
title_short A DNA microarray survey of gene expression in normal human tissues
title_sort dna microarray survey of gene expression in normal human tissues
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1088941/
https://www.ncbi.nlm.nih.gov/pubmed/15774023
http://dx.doi.org/10.1186/gb-2005-6-3-r22
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