In Depth Quantitative Proteomic and Transcriptomic Characterization of Human Adipocyte Differentiation using the SGBS...

Area of Science:

• Cell Biology
• Molecular Biology
• Genomics

Background:

• Most adipocyte differentiation research relies on rodent models, limiting direct human applicability.
• Simpson-Golabi-Behmel Syndrome (SGBS) cells are a widely used model for human adipocyte differentiation.
• A combined transcriptomic and proteomic analysis of human adipogenesis in SGBS cells was previously lacking.

Purpose of the Study:

• To comprehensively analyze molecular alterations during human adipocyte differentiation in SGBS cells.
• To present a combined transcriptomic and proteomic dataset for adipogenesis research.
• To identify key differentially expressed genes and proteins involved in human adipocyte function.

Main Methods:

• Utilized Simpson-Golabi-Behmel Syndrome (SGBS) cells as a model for human adipocyte differentiation.
• Performed a combined transcriptomic and proteomic analysis, quantifying 14372 mRNA transcripts and 2641 proteins.
• Applied differential expression analysis to compare preadipocytes and differentiated adipocytes.

Main Results:

• Identified 1153 differentially expressed proteins and 313 differentially expressed genes between preadipocytes and differentiated adipocytes.
• Key adipogenic proteins such as adiponectin, lipoprotein lipase, and fatty acid binding protein 4 were upregulated.
• Confirmed downregulation of preadipocyte markers (e.g., latexin, GATA6, CXCL6) at both protein and transcript levels.

Conclusions:

• This multi-omics dataset provides a detailed molecular map of human adipogenesis.
• The findings enhance understanding of adipocyte function and differentiation pathways.
• This resource will facilitate future research into metabolic diseases and adipocyte biology.