Physiology, pathology and relatedness of human tissues from gene expression meta-analysis.

<h4>Background</h4>Development and maintenance of the identity of tissues is of central importance for multicellular organisms. Based on gene expression profiles, it is possible to divide genes in housekeeping genes and those whose expression is preferential in one or a few tissues and w...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Dario Greco, Panu Somervuo, Antonio Di Lieto, Tuomas Raitila, Lucio Nitsch, Eero Castrén, Petri Auvinen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2008
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3bde6b5708ee4fa081a7cf8ec6c5f9eb
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3bde6b5708ee4fa081a7cf8ec6c5f9eb
record_format	dspace
spelling	oai:doaj.org-article:3bde6b5708ee4fa081a7cf8ec6c5f9eb2021-11-25T06:12:56ZPhysiology, pathology and relatedness of human tissues from gene expression meta-analysis.1932-620310.1371/journal.pone.0001880https://doaj.org/article/3bde6b5708ee4fa081a7cf8ec6c5f9eb2008-04-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18382664/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Development and maintenance of the identity of tissues is of central importance for multicellular organisms. Based on gene expression profiles, it is possible to divide genes in housekeeping genes and those whose expression is preferential in one or a few tissues and which provide specialized functions that have a strong effect on the physiology of the whole organism.<h4>Results</h4>We have surveyed the gene expression in 78 normal human tissues integrating publicly available microarray gene expression data. A total amount of 1601 genes were identified as selectively expressed in one or more tissues. The tissue-selective genes covered a wide range of cellular and molecular functions, and could be linked to 361 human diseases with Mendelian inheritance. Based on the gene expression profiles, we were able to form a network of tissues reflecting their functional relatedness and, to certain extent, their development. Using co-citation driven gene network technique and promoter analysis, we predicted a transcriptional module where the co-operation of the transcription factors E2F and NF-kappaB can possibly regulate a number of genes involved in the neurogenesis that takes place in the adult hippocampus.<h4>Conclusions</h4>Here we propose that integration of gene expression data from Affymetrix GeneChip experiments is possible through re-annotation and commonly used pre-processing methods. We suggest that some functional aspects of the tissues can be explained by the co-operation of multiple transcription factors that regulate the expression of selected groups of genes.Dario GrecoPanu SomervuoAntonio Di LietoTuomas RaitilaLucio NitschEero CastrénPetri AuvinenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 3, Iss 4, p e1880 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dario Greco Panu Somervuo Antonio Di Lieto Tuomas Raitila Lucio Nitsch Eero Castrén Petri Auvinen Physiology, pathology and relatedness of human tissues from gene expression meta-analysis.
description	<h4>Background</h4>Development and maintenance of the identity of tissues is of central importance for multicellular organisms. Based on gene expression profiles, it is possible to divide genes in housekeeping genes and those whose expression is preferential in one or a few tissues and which provide specialized functions that have a strong effect on the physiology of the whole organism.<h4>Results</h4>We have surveyed the gene expression in 78 normal human tissues integrating publicly available microarray gene expression data. A total amount of 1601 genes were identified as selectively expressed in one or more tissues. The tissue-selective genes covered a wide range of cellular and molecular functions, and could be linked to 361 human diseases with Mendelian inheritance. Based on the gene expression profiles, we were able to form a network of tissues reflecting their functional relatedness and, to certain extent, their development. Using co-citation driven gene network technique and promoter analysis, we predicted a transcriptional module where the co-operation of the transcription factors E2F and NF-kappaB can possibly regulate a number of genes involved in the neurogenesis that takes place in the adult hippocampus.<h4>Conclusions</h4>Here we propose that integration of gene expression data from Affymetrix GeneChip experiments is possible through re-annotation and commonly used pre-processing methods. We suggest that some functional aspects of the tissues can be explained by the co-operation of multiple transcription factors that regulate the expression of selected groups of genes.
format	article
author	Dario Greco Panu Somervuo Antonio Di Lieto Tuomas Raitila Lucio Nitsch Eero Castrén Petri Auvinen
author_facet	Dario Greco Panu Somervuo Antonio Di Lieto Tuomas Raitila Lucio Nitsch Eero Castrén Petri Auvinen
author_sort	Dario Greco
title	Physiology, pathology and relatedness of human tissues from gene expression meta-analysis.
title_short	Physiology, pathology and relatedness of human tissues from gene expression meta-analysis.
title_full	Physiology, pathology and relatedness of human tissues from gene expression meta-analysis.
title_fullStr	Physiology, pathology and relatedness of human tissues from gene expression meta-analysis.
title_full_unstemmed	Physiology, pathology and relatedness of human tissues from gene expression meta-analysis.
title_sort	physiology, pathology and relatedness of human tissues from gene expression meta-analysis.
publisher	Public Library of Science (PLoS)
publishDate	2008
url	https://doaj.org/article/3bde6b5708ee4fa081a7cf8ec6c5f9eb
work_keys_str_mv	AT dariogreco physiologypathologyandrelatednessofhumantissuesfromgeneexpressionmetaanalysis AT panusomervuo physiologypathologyandrelatednessofhumantissuesfromgeneexpressionmetaanalysis AT antoniodilieto physiologypathologyandrelatednessofhumantissuesfromgeneexpressionmetaanalysis AT tuomasraitila physiologypathologyandrelatednessofhumantissuesfromgeneexpressionmetaanalysis AT lucionitsch physiologypathologyandrelatednessofhumantissuesfromgeneexpressionmetaanalysis AT eerocastren physiologypathologyandrelatednessofhumantissuesfromgeneexpressionmetaanalysis AT petriauvinen physiologypathologyandrelatednessofhumantissuesfromgeneexpressionmetaanalysis
_version_	1718414035620200448

Physiology, pathology and relatedness of human tissues from gene expression meta-analysis.

Ejemplares similares