Development of a scalable method to isolate subsets of stem cell-derived pancreatic islet cells

开发可扩展的方法来分离干细胞来源的胰岛细胞亚群

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作者:Audrey V Parent, Sudipta Ashe, Gopika G Nair, Mei-Lan Li, Jessica Chavez, Jennifer S Liu, Yongping Zhong, Philip R Streeter, Matthias Hebrok

Abstract

Cell replacement therapy using β cells derived from stem cells is a promising alternative to conventional diabetes treatment options. Although current differentiation methods produce glucose-responsive β cells, they can also yield populations of undesired endocrine progenitors and other proliferating cell types that might interfere with long-term islet function and safety of transplanted cells. Here, we describe the generation of an array of monoclonal antibodies against cell surface markers that selectively label stem cell-derived islet cells. A high-throughput screen identified promising candidates, including three clones that mark a high proportion of endocrine cells in differentiated cultures. A scalable magnetic sorting method was developed to enrich for human pluripotent stem cell (hPSC)-derived islet cells using these three antibodies, leading to the formation of islet-like clusters with improved glucose-stimulated insulin secretion and reduced growth upon transplantation. This strategy should facilitate large-scale production of functional islet clusters from stem cells for disease modeling and cell replacement therapy.

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