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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2017-06-01
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Online Access: | https://doi.org/10.1038/s41540-017-0018-z |
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doaj-66299d4bfec84237838e67e4b4f006172020-12-08T13:46:40ZengNature Publishing Groupnpj Systems Biology and Applications2056-71892017-06-013111010.1038/s41540-017-0018-zIntegrative analysis of pathway deregulation in obesityFrancesc Font-Clos0Stefano Zapperi1Caterina A.M. La Porta2ISI FoundationISI FoundationCenter for Complexity and Biosystems, Department of Environmental Science and Policy, University of MilanoObesity 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.https://doi.org/10.1038/s41540-017-0018-z |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Francesc Font-Clos Stefano Zapperi Caterina A.M. La Porta |
spellingShingle |
Francesc Font-Clos Stefano Zapperi Caterina A.M. La Porta Integrative analysis of pathway deregulation in obesity npj Systems Biology and Applications |
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 Publishing Group |
series |
npj Systems Biology and Applications |
issn |
2056-7189 |
publishDate |
2017-06-01 |
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. |
url |
https://doi.org/10.1038/s41540-017-0018-z |
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