SNIC
SUPR
SNIC SUPR
Integration of biological networks with genome-scale metabolic models
Dnr:

SNIC 2018/3-200

Type:

SNAC Medium

Principal Investigator:

Adil Mardinoglu

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2018-05-01

End Date:

2018-11-01

Primary Classification:

10612: Biological Systematics

Secondary Classification:

10610: Bioinformatics and Systems Biology (methods development to be 10203)

Tertiary Classification:

10203: Bioinformatics (Computational Biology) (applications to be 10610)

Allocation

Abstract

To investigate the biological processes that are altered in obese subjects, we will generate cell-specific integrated networks (INs) by merging genome-scale metabolic, transcriptional regulatory and protein-protein interaction networks. We will perform genome-wide transcriptomics analysis to determine the global gene expression changes in the liver and three adipose tissues from obese subjects undergoing bariatric surgery and integrated these data into the cell-specific INs. We will identify dysregulations in metabolism of obese subjects and validate our predictions by detecting the plasma levels of the metabolites in lean and obese subjects.