Transcriptional Profiling of Xenogeneic Transplants: Examining Human Pluripotent Stem Cell-Derived Grafts in the Rodent Brain
Autor: | Christopher R. Bye, Vanessa Penna, Isabelle R. de Luzy, Carlos W. Gantner, Cameron P.J. Hunt, Lachlan H. Thompson, Clare L. Parish |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Stem Cell Reports, Vol 13, Iss 5, Pp 877-890 (2019) |
Druh dokumentu: | article |
ISSN: | 2213-6711 55492282 |
DOI: | 10.1016/j.stemcr.2019.10.001 |
Popis: | Summary: Human pluripotent stem cells are a valuable resource for transplantation, yet our ability to profile xenografts is largely limited to low-throughput immunohistochemical analysis by difficulties in readily isolating grafts for transcriptomic and/or proteomic profiling. Here, we present a simple methodology utilizing differences in the RNA sequence between species to discriminate xenograft from host gene expression (using qPCR or RNA sequencing [RNA-seq]). To demonstrate the approach, we assessed grafts of undifferentiated human stem cells and neural progenitors in the rodent brain. Xenograft-specific qPCR provided sensitive detection of proliferative cells, and identified germ layer markers and appropriate neural maturation genes across the graft types. Xenograft-specific RNA-seq enabled profiling of the complete transcriptome and an unbiased characterization of graft composition. Such xenograft-specific profiling will be crucial for pre-clinical characterization of grafts and batch-testing of therapeutic cell preparations to ensure safety and functional predictability prior to translation. : In this article, Bye and colleagues establish a simple and robust method to transcriptionally profile xenogeneic transplants. Exploiting species differences in the RNA sequence between human stem cell grafts and the rodent host, xenograft-specific qPCR or xenograft-specific RNA-seq provided a sensitive approach for characterization and exploration of transplanted cell populations that will be critical for ensuring safety and functionality. Keywords: transcriptomics, RNA-seq, xenograft, stem cells, transplantation, xenome, midbrain dopamine, species-specific, qPCR |
Databáze: | Directory of Open Access Journals |
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