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A Systems Biology Strategy on Differential Gene Expression Data Discloses Some Biological Features of Atrial Fibrillation
Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with extensive structural, contractile, and electrophysiological remodeling. In this manuscript we re-analyzed gene expression data from a microarray experiment on AF patients and control tissues, using a new paradigm based...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2966393/ https://www.ncbi.nlm.nih.gov/pubmed/21060823 http://dx.doi.org/10.1371/journal.pone.0013668 |
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author | Censi, Federica Calcagnini, Giovanni Bartolini, Pietro Giuliani, Alessandro |
author_facet | Censi, Federica Calcagnini, Giovanni Bartolini, Pietro Giuliani, Alessandro |
author_sort | Censi, Federica |
collection | PubMed |
description | Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with extensive structural, contractile, and electrophysiological remodeling. In this manuscript we re-analyzed gene expression data from a microarray experiment on AF patients and control tissues, using a new paradigm based on a posteriori unsupervised strategy in which the discrimination of patients comes out from purely syntactical premises. This paradigm, more adherent to biological reality where genes work in highly connected networks, allowed us to get both a very precise patients/control discrimination and the discovery of cell adhesion/tissue modeling and inflammation processes as the main dimensions of AF. |
format | Text |
id | pubmed-2966393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-29663932010-11-08 A Systems Biology Strategy on Differential Gene Expression Data Discloses Some Biological Features of Atrial Fibrillation Censi, Federica Calcagnini, Giovanni Bartolini, Pietro Giuliani, Alessandro PLoS One Research Article Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with extensive structural, contractile, and electrophysiological remodeling. In this manuscript we re-analyzed gene expression data from a microarray experiment on AF patients and control tissues, using a new paradigm based on a posteriori unsupervised strategy in which the discrimination of patients comes out from purely syntactical premises. This paradigm, more adherent to biological reality where genes work in highly connected networks, allowed us to get both a very precise patients/control discrimination and the discovery of cell adhesion/tissue modeling and inflammation processes as the main dimensions of AF. Public Library of Science 2010-10-29 /pmc/articles/PMC2966393/ /pubmed/21060823 http://dx.doi.org/10.1371/journal.pone.0013668 Text en Censi et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Censi, Federica Calcagnini, Giovanni Bartolini, Pietro Giuliani, Alessandro A Systems Biology Strategy on Differential Gene Expression Data Discloses Some Biological Features of Atrial Fibrillation |
title | A Systems Biology Strategy on Differential Gene Expression Data Discloses Some Biological Features of Atrial Fibrillation |
title_full | A Systems Biology Strategy on Differential Gene Expression Data Discloses Some Biological Features of Atrial Fibrillation |
title_fullStr | A Systems Biology Strategy on Differential Gene Expression Data Discloses Some Biological Features of Atrial Fibrillation |
title_full_unstemmed | A Systems Biology Strategy on Differential Gene Expression Data Discloses Some Biological Features of Atrial Fibrillation |
title_short | A Systems Biology Strategy on Differential Gene Expression Data Discloses Some Biological Features of Atrial Fibrillation |
title_sort | systems biology strategy on differential gene expression data discloses some biological features of atrial fibrillation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2966393/ https://www.ncbi.nlm.nih.gov/pubmed/21060823 http://dx.doi.org/10.1371/journal.pone.0013668 |
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