Spatial Environment Affects HNF4A Mutation-Specific Proteome Signatures and Cellular Morphology in hiPSC-Derived β-Like Cells

Author:

Carrasco Manuel12,Wang Chencheng34,Søviknes Anne M.1,Bjørlykke Yngvild15,Abadpour Shadab34ORCID,Paulo Joao A.6,Tjora Erling15,Njølstad Pål15ORCID,Ghabayen Jonas1,Nermoen Ingrid7,Lyssenko Valeriya1ORCID,Chera Simona1,Ghila Luiza M.1,Vaudel Marc1,Scholz Hanne34,Ræder Helge15ORCID

Affiliation:

1. Department of Clinical Science, University of Bergen, Bergen, Norway

2. Center for Cancer Biomarkers, Department of Clinical Medicine, University of Bergen, Bergen, Norway

3. Department of Transplant Medicine and Institute for Surgical Research, Oslo University Hospital, Oslo, Norway

4. Hybrid Technology Hub–Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway

5. Department of Pediatrics, Haukeland University Hospital, Bergen, Norway

6. Department of Cell Biology, Harvard Medical School, Boston, MA

7. Department of Endocrinology, Akershus University Hospital, Lorenskog, Norway

Abstract

Studies of monogenic diabetes are particularly useful because we can gain insight into the molecular events of pancreatic β-cell failure. Maturity-onset diabetes of the young 1 (MODY1) is a form of monogenic diabetes caused by a mutation in the HNF4A gene. Human-induced pluripotent stem cells (hiPSCs) provide an excellent tool for disease modeling by subsequently directing differentiation toward desired pancreatic islet cells, but cellular phenotypes in terminally differentiated cells are notoriously difficult to detect. Re-creating a spatial (three-dimensional [3D]) environment may facilitate phenotype detection. We studied MODY1 by using hiPSC-derived pancreatic β-like patient and isogenic control cell lines in two different 3D contexts. Using size-adjusted cell aggregates and alginate capsules, we show that the 3D context is critical to facilitating the detection of mutation-specific phenotypes. In 3D cell aggregates, we identified irregular cell clusters and lower levels of structural proteins by proteome analysis, whereas in 3D alginate capsules, we identified altered levels of glycolytic proteins in the glucose sensing apparatus by proteome analysis. Our study provides novel knowledge on normal and abnormal function of HNF4A, paving the way for translational studies of new drug targets that can be used in precision diabetes medicine in MODY.

Publisher

American Diabetes Association

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

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