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Atlas of tissue renin-angiotensin-aldosterone system in human: A transcriptomic meta-analysis
Tissue renin-angiotensin-aldosterone system (RAAS) has attracted much attention because of its physiological and pharmacological implications; however, a clear definition of tissue RAAS is still missing. We aimed to establish a preliminary atlas for the organization of RAAS across 23 different norma...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445654/ https://www.ncbi.nlm.nih.gov/pubmed/25992767 http://dx.doi.org/10.1038/srep10035 |
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author | Nehme, Ali Cerutti, Catherine Dhaouadi, Nedra Gustin, Marie Paule Courand, Pierre-Yves Zibara, Kazem Bricca, Giampiero |
author_facet | Nehme, Ali Cerutti, Catherine Dhaouadi, Nedra Gustin, Marie Paule Courand, Pierre-Yves Zibara, Kazem Bricca, Giampiero |
author_sort | Nehme, Ali |
collection | PubMed |
description | Tissue renin-angiotensin-aldosterone system (RAAS) has attracted much attention because of its physiological and pharmacological implications; however, a clear definition of tissue RAAS is still missing. We aimed to establish a preliminary atlas for the organization of RAAS across 23 different normal human tissues. A set of 37 genes encoding classical and novel RAAS participants including gluco- and mineralo-corticoids were defined as extended RAAS (extRAAS) system. Microarray data sets containing more than 10 normal tissues were downloaded from the GEO database. R software was used to extract expression levels and construct dendrograms of extRAAS genes within each data set. Tissue co-expression modules were then extracted from reproducible gene clusters across data sets. An atlas of the maps of tissue-specific organization of extRAAS was constructed from gene expression and coordination data. Our analysis included 143 data sets containing 4933 samples representing 23 different tissues. Expression data provided an insight on the favored pathways in a given tissue. Gene coordination indicated the existence of tissue-specific modules organized or not around conserved core groups of transcripts. The atlas of tissue-specific organization of extRAAS will help better understand tissue-specific effects of RAAS. This will provide a frame for developing more effective and selective pharmaceuticals targeting extRAAS. |
format | Online Article Text |
id | pubmed-4445654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44456542015-06-01 Atlas of tissue renin-angiotensin-aldosterone system in human: A transcriptomic meta-analysis Nehme, Ali Cerutti, Catherine Dhaouadi, Nedra Gustin, Marie Paule Courand, Pierre-Yves Zibara, Kazem Bricca, Giampiero Sci Rep Article Tissue renin-angiotensin-aldosterone system (RAAS) has attracted much attention because of its physiological and pharmacological implications; however, a clear definition of tissue RAAS is still missing. We aimed to establish a preliminary atlas for the organization of RAAS across 23 different normal human tissues. A set of 37 genes encoding classical and novel RAAS participants including gluco- and mineralo-corticoids were defined as extended RAAS (extRAAS) system. Microarray data sets containing more than 10 normal tissues were downloaded from the GEO database. R software was used to extract expression levels and construct dendrograms of extRAAS genes within each data set. Tissue co-expression modules were then extracted from reproducible gene clusters across data sets. An atlas of the maps of tissue-specific organization of extRAAS was constructed from gene expression and coordination data. Our analysis included 143 data sets containing 4933 samples representing 23 different tissues. Expression data provided an insight on the favored pathways in a given tissue. Gene coordination indicated the existence of tissue-specific modules organized or not around conserved core groups of transcripts. The atlas of tissue-specific organization of extRAAS will help better understand tissue-specific effects of RAAS. This will provide a frame for developing more effective and selective pharmaceuticals targeting extRAAS. Nature Publishing Group 2015-05-20 /pmc/articles/PMC4445654/ /pubmed/25992767 http://dx.doi.org/10.1038/srep10035 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Nehme, Ali Cerutti, Catherine Dhaouadi, Nedra Gustin, Marie Paule Courand, Pierre-Yves Zibara, Kazem Bricca, Giampiero Atlas of tissue renin-angiotensin-aldosterone system in human: A transcriptomic meta-analysis |
title | Atlas of tissue renin-angiotensin-aldosterone system in human: A transcriptomic
meta-analysis |
title_full | Atlas of tissue renin-angiotensin-aldosterone system in human: A transcriptomic
meta-analysis |
title_fullStr | Atlas of tissue renin-angiotensin-aldosterone system in human: A transcriptomic
meta-analysis |
title_full_unstemmed | Atlas of tissue renin-angiotensin-aldosterone system in human: A transcriptomic
meta-analysis |
title_short | Atlas of tissue renin-angiotensin-aldosterone system in human: A transcriptomic
meta-analysis |
title_sort | atlas of tissue renin-angiotensin-aldosterone system in human: a transcriptomic
meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445654/ https://www.ncbi.nlm.nih.gov/pubmed/25992767 http://dx.doi.org/10.1038/srep10035 |
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