An integrative computational analysis provides evidence for FBN1-associated network deregulation in trisomy 21

Summary Although approximately 50% of Down Syndrome (DS) patients have heart abnormalities, they exhibit an overprotection against cardiac abnormalities related with the connective tissue, for example a lower risk of coronary artery disease. A recent study reported a case of a person affected by DS...

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Main Authors: Mireia Vilardell, Sergi Civit, Ralf Herwig
Format: Article
Language:English
Published: The Company of Biologists 2013-06-01
Series:Biology Open
Subjects:
Online Access:http://bio.biologists.org/content/2/8/771
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spelling doaj-78e02c1fc726421e974230a0f0f9c44a2021-06-02T15:56:55ZengThe Company of BiologistsBiology Open2046-63902013-06-012877177810.1242/bio.2013440820134408An integrative computational analysis provides evidence for FBN1-associated network deregulation in trisomy 21Mireia Vilardell0Sergi Civit1Ralf Herwig2 Department of Vertebrate Genomics, Max-Planck-Institute for Molecular Genetics, Ihnestrasse 63–73, D-14195 Berlin, Germany Department of Statistics, University of Barcelona, Avenida Diagonal 645, Barcelona, 08028, Spain Department of Vertebrate Genomics, Max-Planck-Institute for Molecular Genetics, Ihnestrasse 63–73, D-14195 Berlin, Germany Summary Although approximately 50% of Down Syndrome (DS) patients have heart abnormalities, they exhibit an overprotection against cardiac abnormalities related with the connective tissue, for example a lower risk of coronary artery disease. A recent study reported a case of a person affected by DS who carried mutations in FBN1, the gene causative for a connective tissue disorder called Marfan Syndrome (MFS). The fact that the person did not have any cardiac alterations suggested compensation effects due to DS. This observation is supported by a previous DS meta-analysis at the molecular level where we have found an overall upregulation of FBN1 (which is usually downregulated in MFS). Additionally, that result was cross-validated with independent expression data from DS heart tissue. The aim of this work is to elucidate the role of FBN1 in DS and to establish a molecular link to MFS and MFS-related syndromes using a computational approach. To reach that, we conducted different analytical approaches over two DS studies (our previous meta-analysis and independent expression data from DS heart tissue) and revealed expression alterations in the FBN1 interaction network, in FBN1 co-expressed genes and FBN1-related pathways. After merging the significant results from different datasets with a Bayesian approach, we prioritized 85 genes that were able to distinguish control from DS cases. We further found evidence for several of these genes (47%), such as FBN1, DCN, and COL1A2, being dysregulated in MFS and MFS-related diseases. Consequently, we further encourage the scientific community to take into account FBN1 and its related network for the study of DS cardiovascular characteristics.http://bio.biologists.org/content/2/8/771Down SyndromeMarfan SyndromeCardiovascularHeartBioinformatics
collection DOAJ
language English
format Article
sources DOAJ
author Mireia Vilardell
Sergi Civit
Ralf Herwig
spellingShingle Mireia Vilardell
Sergi Civit
Ralf Herwig
An integrative computational analysis provides evidence for FBN1-associated network deregulation in trisomy 21
Biology Open
Down Syndrome
Marfan Syndrome
Cardiovascular
Heart
Bioinformatics
author_facet Mireia Vilardell
Sergi Civit
Ralf Herwig
author_sort Mireia Vilardell
title An integrative computational analysis provides evidence for FBN1-associated network deregulation in trisomy 21
title_short An integrative computational analysis provides evidence for FBN1-associated network deregulation in trisomy 21
title_full An integrative computational analysis provides evidence for FBN1-associated network deregulation in trisomy 21
title_fullStr An integrative computational analysis provides evidence for FBN1-associated network deregulation in trisomy 21
title_full_unstemmed An integrative computational analysis provides evidence for FBN1-associated network deregulation in trisomy 21
title_sort integrative computational analysis provides evidence for fbn1-associated network deregulation in trisomy 21
publisher The Company of Biologists
series Biology Open
issn 2046-6390
publishDate 2013-06-01
description Summary Although approximately 50% of Down Syndrome (DS) patients have heart abnormalities, they exhibit an overprotection against cardiac abnormalities related with the connective tissue, for example a lower risk of coronary artery disease. A recent study reported a case of a person affected by DS who carried mutations in FBN1, the gene causative for a connective tissue disorder called Marfan Syndrome (MFS). The fact that the person did not have any cardiac alterations suggested compensation effects due to DS. This observation is supported by a previous DS meta-analysis at the molecular level where we have found an overall upregulation of FBN1 (which is usually downregulated in MFS). Additionally, that result was cross-validated with independent expression data from DS heart tissue. The aim of this work is to elucidate the role of FBN1 in DS and to establish a molecular link to MFS and MFS-related syndromes using a computational approach. To reach that, we conducted different analytical approaches over two DS studies (our previous meta-analysis and independent expression data from DS heart tissue) and revealed expression alterations in the FBN1 interaction network, in FBN1 co-expressed genes and FBN1-related pathways. After merging the significant results from different datasets with a Bayesian approach, we prioritized 85 genes that were able to distinguish control from DS cases. We further found evidence for several of these genes (47%), such as FBN1, DCN, and COL1A2, being dysregulated in MFS and MFS-related diseases. Consequently, we further encourage the scientific community to take into account FBN1 and its related network for the study of DS cardiovascular characteristics.
topic Down Syndrome
Marfan Syndrome
Cardiovascular
Heart
Bioinformatics
url http://bio.biologists.org/content/2/8/771
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