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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...

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Detalles Bibliográficos
Autores principales: Censi, Federica, Calcagnini, Giovanni, Bartolini, Pietro, Giuliani, Alessandro
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
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.
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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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