In silico and functional analysis identifies key gene networks and novel gene candidates in obesity‐linked human visceral fat
This approach highlights the network architecture in human obesity, identifies novel candidate genes, and generates new hypotheses regarding network-assisted gene regulation in VAT.
Authors
- Pratap Veerabrahma Seshachalam (ORCID: https://orcid.org/0000-0001-9211-2453)
- Lei Sun (ORCID: https://orcid.org/0000-0003-3937-941X)
- Hongwen Zhou (ORCID: https://orcid.org/0000-0002-9309-3546)
- Sujoy Ghosh (ORCID: https://orcid.org/0000-0002-7601-165X)
- Lijin Wang (ORCID: https://orcid.org/0009-0000-2399-8094)
- Ruiming Chua
Institutions
- Pennington Biomedical Research Center (US)
- Duke-NUS Medical School (SG)
- National Neuroscience Institute (SG)
- National Cancer Centre Singapore (SG)
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Obesity
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1002/oby.24161
- Citations
- 1
- Primary Topic
- Adipose Tissue and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.33
Funders
- Duke-NUS Medical School
- Louisiana Clinical and Translational Science Center
- National Institutes of Health
- Nutrition Obesity Research Center, University of North Carolina
- National Heart, Lung, and Blood Institute
- National Institute of General Medical Sciences
- National Institute of Diabetes and Digestive and Kidney Diseases