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3D Adipose Tissue Culture Links the Organotypic Microenvironment to Improved Adipogenesis
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2021 (English)In: Advanced Science, E-ISSN 2198-3844, Vol. 8, no 16, article id 2100106Article in journal (Refereed) Published
Abstract [en]

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. 

Place, publisher, year, edition, pages
Wiley , 2021. Vol. 8, no 16, article id 2100106
Keywords [en]
adipose stem cells, fat cells, lipidomics, organotypic cell culture, preadipocytes, stromal vascular fraction, transcriptomics, Molecular weight, Signaling, Tissue, Tissue culture, 3D adipose tissue, Cellular phenotypes, Differentially expressed gene, False discovery rate, Gene expression signatures, Metabolic disorders, Microenvironments, Signaling networks, Transcription
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:kth:diva-310144DOI: 10.1002/advs.202100106ISI: 000665113000001PubMedID: 34165908Scopus ID: 2-s2.0-85108645664OAI: oai:DiVA.org:kth-310144DiVA, id: diva2:1648207
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QC 20220330

Available from: 2022-03-30 Created: 2022-03-30 Last updated: 2022-06-25Bibliographically approved

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Shafagh, Reza Zandi

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