A network-based approach to identify protein kinases critical for regulating srebf1 in lipid deposition causing obesity

Abstract

Obesity is a rapidly growing health pandemic, underlying a wide variety of disease conditions leading to increases in global mortality. It is known that the phosphorylation of various proteins regulates sterol regulatory element-binding transcription factors 1 (srebf1), a key lipogenic transcription factor, to cause the development of obesity. To detect the key protein kinases for regulating srebf1 in lipid deposition, we established the srebf1 knockout model in zebrafish (KO, srebf1^-/-) by CRISPR/Cas9. The KO zebrafish exhibited a significant reduction of total free fatty acid content (fell 60.5%) and lipid deposition decrease compared with wild-type (WT) zebrafish. Meanwhile, srebf1 deletion in zebrafish eliminated lipid deposition induced by high-fat diet feeding. Compared with WT zebrafish, a total of 697 differentially expressed proteins and 316 differentially expressed phosphoproteins with 439 sites were identified in KO by differential proteomic and phosphoproteomic analyses. A significant number of proteins identified were involved in lipid and glucose metabolism. Moreover, some protein kinases critical for regulating srebf1 in lipid deposition, including Cdk2, Pkc, Prkceb, mTORC1, Mapk12, and Wnk1, were determined by network analyses. An in vitro study was performed to verify the network analysis results. Our findings provide potential targets (kinases) for human obesity treatments.

Keywords: Lipid deposition; Phosphoproteomics; Proteomics; srebf1.