UMMS Affiliation

Program in Molecular Medicine; Diabetes Center of Excellence; Department of Medicine

Publication Date

2020-07-14

Document Type

Article

Disciplines

Cellular and Molecular Physiology | Disease Modeling | Endocrine System Diseases | Endocrinology | Endocrinology, Diabetes, and Metabolism | Immune System Diseases | Immunology and Infectious Disease | Nutritional and Metabolic Diseases

Abstract

Understanding the root causes of autoimmune diseases is hampered by the inability to access relevant human tissues and identify the time of disease onset. To examine the interaction of immune cells and their cellular targets in type 1 diabetes, we differentiated human induced pluripotent stem cells into pancreatic endocrine cells, including beta cells. Here, we describe an in vitro platform that models features of human type 1 diabetes using stress-induced patient-derived endocrine cells and autologous immune cells. We demonstrate a cell-type-specific response by autologous immune cells against induced pluripotent stem cell-derived beta cells, along with a reduced effect on alpha cells. This approach represents a path to developing disease models that use patient-derived cells to predict the outcome of an autoimmune response.

Keywords

disease modeling, endoplasmic reticulum stress, induced pluripotent stem cell-derived β cells, type 1 diabetes

Rights and Permissions

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

DOI of Published Version

10.1016/j.celrep.2020.107894

Source

Leite NC, Sintov E, Meissner TB, Brehm MA, Greiner DL, Harlan DM, Melton DA. Modeling Type 1 Diabetes In Vitro Using Human Pluripotent Stem Cells. Cell Rep. 2020 Jul 14;32(2):107894. doi: 10.1016/j.celrep.2020.107894. PMID: 32668238; PMCID: PMC7359783. Link to article on publisher's site

Journal/Book/Conference Title

Cell reports

Related Resources

Link to Article in PubMed

PubMed ID

32668238

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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