Article
Functionally characterizing obesity-susceptibility genes using CRISPR/Cas9, in vivo imaging and deep learning.
Scientific reports - 13 Feb 2025
Mazzaferro Eugenia, Mujica Endrina, Zhang Hanqing, Emmanouilidou Anastasia, Jenseit Anne, Evcimen Bade, Metzendorf Christoph, Dethlefsen Olga, Loos Ruth Jf, Vienberg Sara Gry, Larsson Anders, Allalou Amin, den Hoed Marcel
Abstract excerpt
Hundreds of loci have been robustly associated with obesity-related traits, but functional characterization of candidate genes remains a bottleneck. Aiming to systematically characterize candidate genes for a role in accumulation of lipids in adipocytes and other cardiometabolic traits, we developed a pipeline using CRISPR/Cas9, non-invasive, semi-automated fluorescence imaging and deep learning-based image...
Read the complete abstract on PubMedTopics
- Animals
- Zebrafish
- Deep Learning
- Obesity
- CRISPR-Cas Systems
- Adipocytes