KIT D816V Mast Cells Derived from Induced Pluripotent Stem Cells Recapitulate Systemic Mastocytosis Transcriptional Profile

Author:

de Toledo Marcelo A. S.1234,Fu Xuhuang12ORCID,Maié Tiago5ORCID,Buhl Eva M.6,Götz Katrin12,Schmitz Susanne12,Kaiser Anne34,Boor Peter6ORCID,Braunschweig Till6ORCID,Chatain Nicolas34ORCID,Costa Ivan G.5,Brümmendorf Tim H.34ORCID,Koschmieder Steffen34ORCID,Zenke Martin1234ORCID

Affiliation:

1. Department of Cell Biology, Institute for Biomedical Engineering, RWTH Aachen University Medical School, 52074 Aachen, Germany

2. Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, 52074 Aachen, Germany

3. Department of Hematology, Oncology, Hemostaseology and Stem Cell Transplantation, RWTH Aachen University Medical School, 52074 Aachen, Germany

4. Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), 52074 Aachen, Germany

5. Institute for Computational Genomics, RWTH Aachen University Medical School, 52074 Aachen, Germany

6. Institute for Pathology, Electron Microscopy Facility, RWTH Aachen University Medical School, 52074 Aachen, Germany

Abstract

Mast cells (MCs) represent a population of hematopoietic cells with a key role in innate and adaptive immunity and are well known for their detrimental role in allergic responses. Yet, MCs occur in low abundance, which hampers their detailed molecular analysis. Here, we capitalized on the potential of induced pluripotent stem (iPS) cells to give rise to all cells in the body and established a novel and robust protocol for human iPS cell differentiation toward MCs. Relying on a panel of systemic mastocytosis (SM) patient-specific iPS cell lines carrying the KIT D816V mutation, we generated functional MCs that recapitulate SM disease features: increased number of MCs, abnormal maturation kinetics and activated phenotype, CD25 and CD30 surface expression and a transcriptional signature characterized by upregulated expression of innate and inflammatory response genes. Therefore, human iPS cell-derived MCs are a reliable, inexhaustible, and close-to-human tool for disease modeling and pharmacological screening to explore novel MC therapeutics.

Funder

Deutsche Forschungsgemeinschaft

China Scholarship Council

CAPES–Alexander von Humboldt

RWTH Aachen University Faculty of Medicine START

Interdisciplinary Center for Clinical Research

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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