TCSBN: A database of tissue and cancer specific biological networks
Artikel i vetenskaplig tidskrift, 2018

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.

Författare

Sunjae Lee

Kungliga Tekniska Högskolan (KTH)

C. Zhang

Kungliga Tekniska Högskolan (KTH)

M. Arif

Kungliga Tekniska Högskolan (KTH)

Zhengtao Liu

Kungliga Tekniska Högskolan (KTH)

Rui Benfeitas

Kungliga Tekniska Högskolan (KTH)

Gholamreza Bidkhori

Kungliga Tekniska Högskolan (KTH)

Sumit Deshmukh

Kungliga Tekniska Högskolan (KTH)

Mohamed Al Shobky

Kungliga Tekniska Högskolan (KTH)

Alen Lovric

Kungliga Tekniska Högskolan (KTH)

Jan Borén

Sahlgrenska universitetssjukhuset

Jens B Nielsen

Chalmers, Biologi och bioteknik, Systembiologi

Kungliga Tekniska Högskolan (KTH)

Mathias Uhlen

Kungliga Tekniska Högskolan (KTH)

Adil Mardinoglu

Kungliga Tekniska Högskolan (KTH)

Chalmers, Biologi och bioteknik, Systembiologi

Nucleic Acids Research

0305-1048 (ISSN) 1362-4962 (eISSN)

Vol. 46 D1 D595-D600

Ämneskategorier

Bioinformatik (beräkningsbiologi)

Medicinsk bioteknologi (med inriktning mot cellbiologi (inklusive stamcellsbiologi), molekylärbiologi, mikrobiologi, biokemi eller biofarmaci)

Bioinformatik och systembiologi

DOI

10.1093/nar/gkx994