TCSBN: A database of tissue and cancer specific biological networks
Journal article, 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.

Author

Sunjae Lee

Royal Institute of Technology (KTH)

C. Zhang

Royal Institute of Technology (KTH)

M. Arif

Royal Institute of Technology (KTH)

Zhengtao Liu

Royal Institute of Technology (KTH)

Rui Benfeitas

Royal Institute of Technology (KTH)

Gholamreza Bidkhori

Royal Institute of Technology (KTH)

Sumit Deshmukh

Royal Institute of Technology (KTH)

Mohamed Al Shobky

Royal Institute of Technology (KTH)

Alen Lovric

Royal Institute of Technology (KTH)

Jan Borén

Sahlgrenska University Hospital

Jens B Nielsen

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Royal Institute of Technology (KTH)

Mathias Uhlen

Royal Institute of Technology (KTH)

Adil Mardinoglu

Royal Institute of Technology (KTH)

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Nucleic Acids Research

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

Vol. 46 D1 D595-D600

Subject Categories

Bioinformatics (Computational Biology)

Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)

Bioinformatics and Systems Biology

DOI

10.1093/nar/gkx994

More information

Latest update

4/20/2018