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A highly efficient and faithful MDS patient-derived xenotransplantation model for pre-clinical studies

Authors :
Xiaman Wang
Xiaoying Fu
Kunthavai Balasubramanian
Natalia Neparidze
Toma Tebaldi
Yuanbin Song
Ellice Wong
Mina L. Xu
Richard A. Flavell
Rana Gbyli
Markus G. Manz
Stephanie Halene
Yimeng Gao
Ashley Taylor
Arun Bagale
Nikolai A. Podoltsev
Anthony Rongvaux
Richard Torres
Yuval Kluger
Jun Zhao
Emanuela M. Bruscia
Yunus Kasim Terzi
Tingting Jiang
University of Zurich
Halene, Stephanie
Source :
Nature Communications, Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
Publication Year :
2019
Publisher :
Nature Publishing Group UK, 2019.

Abstract

Comprehensive preclinical studies of Myelodysplastic Syndromes (MDS) have been elusive due to limited ability of MDS stem cells to engraft current immunodeficient murine hosts. Here we report a MDS patient-derived xenotransplantation model in cytokine-humanized immunodeficient “MISTRG” mice that provides efficient and faithful disease representation across all MDS subtypes. MISTRG MDS patient-derived xenografts (PDX) reproduce patients’ dysplastic morphology with multi-lineage representation, including erythro- and megakaryopoiesis. MISTRG MDS-PDX replicate the original sample’s genetic complexity and can be propagated via serial transplantation. MISTRG MDS-PDX demonstrate the cytotoxic and differentiation potential of targeted therapeutics providing superior readouts of drug mechanism of action and therapeutic efficacy. Physiologic humanization of the hematopoietic stem cell niche proves critical to MDS stem cell propagation and function in vivo. The MISTRG MDS-PDX model opens novel avenues of research and long-awaited opportunities in MDS research.<br />Myelodyplastic hematopoietic stem cells (MDS HSC) have eluded in vivo modeling. Here the authors present a highly efficient MDS patient-derived xenotransplantation model in cytokine-humanized mice with replication of the donors’ genetic complexity and myeloid, erythroid, and megakaryocytic lineage dysplasia.

Details

Language :
English
ISSN :
20411723
Volume :
10
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....fd07821099c371b89d93e61dec3e614f