Integrative analysis of pathway deregulation in obesity

Obesity transcriptomic signature shares features with cancer The worldwide increase in obesity is extremely worrisome, especially because this condition is associated with a higher risk for diseases such as type 2 diabetes and cancer. Identifying alterations in regulatory and metabolic activities as...

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Autores principales:	Francesc Font-Clos, Stefano Zapperi, Caterina A.M. La Porta
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/66299d4bfec84237838e67e4b4f00617
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spelling	oai:doaj.org-article:66299d4bfec84237838e67e4b4f006172021-12-02T16:09:11ZIntegrative analysis of pathway deregulation in obesity10.1038/s41540-017-0018-z2056-7189https://doaj.org/article/66299d4bfec84237838e67e4b4f006172017-06-01T00:00:00Zhttps://doi.org/10.1038/s41540-017-0018-zhttps://doaj.org/toc/2056-7189Obesity transcriptomic signature shares features with cancer The worldwide increase in obesity is extremely worrisome, especially because this condition is associated with a higher risk for diseases such as type 2 diabetes and cancer. Identifying alterations in regulatory and metabolic activities associated with obesity is complicated due to the presence of noise. A team lead by Caterina La Porta from the University of Milan addressed the question from the point of view of big data and extracted a signature of 38 genes associated to obesity from the combination of publicly available gene expression data from obese and lean subjects. The results revealed a similarity between the deregulation patterns observed in obesity and those found in breast cancer and diabetes, providing a clearer picture of the role of obesity in these diseases.Francesc Font-ClosStefano ZapperiCaterina A.M. La PortaNature PortfolioarticleBiology (General)QH301-705.5ENnpj Systems Biology and Applications, Vol 3, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Francesc Font-Clos Stefano Zapperi Caterina A.M. La Porta Integrative analysis of pathway deregulation in obesity
description	Obesity transcriptomic signature shares features with cancer The worldwide increase in obesity is extremely worrisome, especially because this condition is associated with a higher risk for diseases such as type 2 diabetes and cancer. Identifying alterations in regulatory and metabolic activities associated with obesity is complicated due to the presence of noise. A team lead by Caterina La Porta from the University of Milan addressed the question from the point of view of big data and extracted a signature of 38 genes associated to obesity from the combination of publicly available gene expression data from obese and lean subjects. The results revealed a similarity between the deregulation patterns observed in obesity and those found in breast cancer and diabetes, providing a clearer picture of the role of obesity in these diseases.
format	article
author	Francesc Font-Clos Stefano Zapperi Caterina A.M. La Porta
author_facet	Francesc Font-Clos Stefano Zapperi Caterina A.M. La Porta
author_sort	Francesc Font-Clos
title	Integrative analysis of pathway deregulation in obesity
title_short	Integrative analysis of pathway deregulation in obesity
title_full	Integrative analysis of pathway deregulation in obesity
title_fullStr	Integrative analysis of pathway deregulation in obesity
title_full_unstemmed	Integrative analysis of pathway deregulation in obesity
title_sort	integrative analysis of pathway deregulation in obesity
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/66299d4bfec84237838e67e4b4f00617
work_keys_str_mv	AT francescfontclos integrativeanalysisofpathwayderegulationinobesity AT stefanozapperi integrativeanalysisofpathwayderegulationinobesity AT caterinaamlaporta integrativeanalysisofpathwayderegulationinobesity
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Integrative analysis of pathway deregulation in obesity

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