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TCSBN: a database of tissue and cancer specific biological networks

Biological networks provide new opportunities for understanding the cellular biology in both health and disease states. We generated tissue specific integrated networks (INs) for liver, muscle and adipose tissues by integrating metabolic, regulatory and protein-protein interaction networks. We also...

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Autores principales: Lee, Sunjae, Zhang, Cheng, Arif, Muhammad, Liu, Zhengtao, Benfeitas, Rui, Bidkhori, Gholamreza, Deshmukh, Sumit, Al Shobky, Mohamed, Lovric, Alen, Boren, Jan, Nielsen, Jens, Uhlen, Mathias, Mardinoglu, Adil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753183/
https://www.ncbi.nlm.nih.gov/pubmed/29069445
http://dx.doi.org/10.1093/nar/gkx994
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author Lee, Sunjae
Zhang, Cheng
Arif, Muhammad
Liu, Zhengtao
Benfeitas, Rui
Bidkhori, Gholamreza
Deshmukh, Sumit
Al Shobky, Mohamed
Lovric, Alen
Boren, Jan
Nielsen, Jens
Uhlen, Mathias
Mardinoglu, Adil
author_facet Lee, Sunjae
Zhang, Cheng
Arif, Muhammad
Liu, Zhengtao
Benfeitas, Rui
Bidkhori, Gholamreza
Deshmukh, Sumit
Al Shobky, Mohamed
Lovric, Alen
Boren, Jan
Nielsen, Jens
Uhlen, Mathias
Mardinoglu, Adil
author_sort Lee, Sunjae
collection PubMed
description Biological networks provide new opportunities for understanding the cellular biology in both health and disease states. We generated tissue specific integrated networks (INs) for liver, muscle and adipose tissues by integrating metabolic, regulatory and protein-protein interaction networks. We also generated human co-expression networks (CNs) for 46 normal tissues and 17 cancers to explore the functional relationships between genes as well as their relationships with biological functions, and investigate the overlap between functional and physical interactions provided by CNs and INs, respectively. These networks can be employed in the analysis of omics data, provide detailed insight into disease mechanisms by identifying the key biological components and eventually can be used in the development of efficient treatment strategies. Moreover, comparative analysis of the networks may allow for the identification of tissue-specific targets that can be used in the development of drugs with the minimum toxic effect to other human tissues. These context-specific INs and CNs are presented in an interactive website http://inetmodels.com without any limitation.
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spelling pubmed-57531832018-01-05 TCSBN: a database of tissue and cancer specific biological networks Lee, Sunjae Zhang, Cheng Arif, Muhammad Liu, Zhengtao Benfeitas, Rui Bidkhori, Gholamreza Deshmukh, Sumit Al Shobky, Mohamed Lovric, Alen Boren, Jan Nielsen, Jens Uhlen, Mathias Mardinoglu, Adil Nucleic Acids Res Database Issue Biological networks provide new opportunities for understanding the cellular biology in both health and disease states. We generated tissue specific integrated networks (INs) for liver, muscle and adipose tissues by integrating metabolic, regulatory and protein-protein interaction networks. We also generated human co-expression networks (CNs) for 46 normal tissues and 17 cancers to explore the functional relationships between genes as well as their relationships with biological functions, and investigate the overlap between functional and physical interactions provided by CNs and INs, respectively. These networks can be employed in the analysis of omics data, provide detailed insight into disease mechanisms by identifying the key biological components and eventually can be used in the development of efficient treatment strategies. Moreover, comparative analysis of the networks may allow for the identification of tissue-specific targets that can be used in the development of drugs with the minimum toxic effect to other human tissues. These context-specific INs and CNs are presented in an interactive website http://inetmodels.com without any limitation. Oxford University Press 2018-01-04 2017-10-24 /pmc/articles/PMC5753183/ /pubmed/29069445 http://dx.doi.org/10.1093/nar/gkx994 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Lee, Sunjae
Zhang, Cheng
Arif, Muhammad
Liu, Zhengtao
Benfeitas, Rui
Bidkhori, Gholamreza
Deshmukh, Sumit
Al Shobky, Mohamed
Lovric, Alen
Boren, Jan
Nielsen, Jens
Uhlen, Mathias
Mardinoglu, Adil
TCSBN: a database of tissue and cancer specific biological networks
title TCSBN: a database of tissue and cancer specific biological networks
title_full TCSBN: a database of tissue and cancer specific biological networks
title_fullStr TCSBN: a database of tissue and cancer specific biological networks
title_full_unstemmed TCSBN: a database of tissue and cancer specific biological networks
title_short TCSBN: a database of tissue and cancer specific biological networks
title_sort tcsbn: a database of tissue and cancer specific biological networks
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753183/
https://www.ncbi.nlm.nih.gov/pubmed/29069445
http://dx.doi.org/10.1093/nar/gkx994
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