PUBLICATION

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

Authors
Sun, S., Cao, X., Castro, L.F.C., Monroig, Ó., Gao, J.
ID
ZDB-PUB-210731-4
Date
2021
Source
Functional & integrative genomics   21(5-6): 557-570 (Journal)
Registered Authors
Keywords
Lipid deposition, Phosphoproteomics, Proteomics, srebf1
MeSH Terms
  • Animals
  • Disease Models, Animal*
  • Gene Expression Regulation
  • Humans
  • Lipid Metabolism/genetics*
  • Male
  • Obesity/genetics*
  • Protein Kinases/genetics*
  • Protein Kinases/metabolism*
  • Proteomics
  • Sterol Regulatory Element Binding Protein 1/metabolism*
  • Zebrafish/genetics*
PubMed
34327622 Full text @ Funct. Integr. Genomics
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.
Genes / Markers
Figures
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Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping