3D Adipose Tissue Culture Links the Organotypic Microenvironment to Improved Adipogenesis.
Joanne X ShenMorgane CouchetJérémy DufauThais de Castro BarbosaMaximilian H UlbrichMartin HelmstädterAurino M KemasReza Zandi ShafaghMarie-Adeline MarquesJacob B HansenNiklas MejhertDominique LanginMikael RydénVolker Martin LauschkePublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2021)
Obesity and type 2 diabetes are strongly associated with adipose tissue dysfunction and impaired adipogenesis. Understanding the molecular underpinnings that control adipogenesis is thus of fundamental importance for the development of novel therapeutics against metabolic disorders. However, translational approaches are hampered as current models do not accurately recapitulate adipogenesis. Here, a scaffold-free versatile 3D adipocyte culture platform with chemically defined conditions is presented in which primary human preadipocytes accurately recapitulate adipogenesis. Following differentiation, multi-omics profiling and functional tests demonstrate that 3D adipocyte cultures feature mature molecular and cellular phenotypes similar to freshly isolated mature adipocytes. Spheroids exhibit physiologically relevant gene expression signatures with 4704 differentially expressed genes compared to conventional 2D cultures (false discovery rate < 0.05), including the concerted expression of factors shaping the adipogenic niche. Furthermore, lipid profiles of >1000 lipid species closely resemble patterns of the corresponding isogenic mature adipocytes in vivo (R2 = 0.97). Integration of multi-omics signatures with analyses of the activity profiles of 503 transcription factors using global promoter motif inference reveals a complex signaling network, involving YAP, Hedgehog, and TGFβ signaling, that links the organotypic microenvironment in 3D culture to the activation and reinforcement of PPARγ and CEBP activity resulting in improved adipogenesis.
Keyphrases
- high fat diet induced
- insulin resistance
- adipose tissue
- type diabetes
- high fat diet
- gene expression
- single cell
- metabolic syndrome
- skeletal muscle
- transcription factor
- genome wide
- dna methylation
- fatty acid
- small molecule
- stem cells
- poor prognosis
- glycemic control
- high throughput
- machine learning
- cardiovascular disease
- genome wide identification
- physical activity
- long non coding rna
- body mass index
- genetic diversity
- weight gain