High-efficiency RNA-based reprogramming of human primary fibroblasts

Induced pluripotent stem cells (iPSCs) hold great promise for regenerative medicine; however, their potential clinical application is hampered by the low efficiency of somatic cell reprogramming. Here, we show that the synergistic activity of synthetic modified mRNAs encoding reprogramming factors a...

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Bibliographic Details
Published in:	Nature communications 2018-02, Vol.9 (1), p.745-15, Article 745
Main Authors:	Kogut, Igor, McCarthy, Sandra M, Pavlova, Maryna, Astling, David P, Chen, Xiaomi, Jakimenko, Ana, Jones, Kenneth L, Getahun, Andrew, Cambier, John C, Pasmooij, Anna M G, Jonkman, Marcel F, Roop, Dennis R, Bilousova, Ganna
Format:	Article
Language:	eng
Subjects:	Cell Line Cellular Reprogramming Techniques Colonies Fibroblasts Humans Induced Pluripotent Stem Cells Inhibitory postsynaptic potentials miRNA Neonates Pluripotency Regeneration (physiology) Regenerative medicine Ribonucleic acid RNA Stem cells Transfection
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Summary:	Induced pluripotent stem cells (iPSCs) hold great promise for regenerative medicine; however, their potential clinical application is hampered by the low efficiency of somatic cell reprogramming. Here, we show that the synergistic activity of synthetic modified mRNAs encoding reprogramming factors and miRNA-367/302s delivered as mature miRNA mimics greatly enhances the reprogramming of human primary fibroblasts into iPSCs. This synergistic activity is dependent upon an optimal RNA transfection regimen and culturing conditions tailored specifically to human primary fibroblasts. As a result, we can now generate up to 4,019 iPSC colonies from only 500 starting human primary neonatal fibroblasts and reprogram up to 90.7% of individually plated cells, producing multiple sister colonies. This methodology consistently generates clinically relevant, integration-free iPSCs from a variety of human patient's fibroblasts under feeder-free conditions and can be applicable for the clinical translation of iPSCs and studying the biology of reprogramming.
ISSN:	2041-1723 2041-1723