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Generation of Integration-free Induced Pluripotent Stem Cells from Human Peripheral Blood Mononuclear Cells Using Episomal Vectors
Published on: January 1, 2017
Reprogramming Induced Pluripotent Stem Cell Lines from Frozen Buffy Coat Samples
Jennifer Art1, Christina James2, Bhavik Dalal2
1Center for Molecular Medicine, University of Georgia; Interdisciplinary Neuroscience, University of Georgia; js.esquibel@yahoo.com.
None:
Human pluripotent stem cells (hPSCs) are a valuable tool for disease modeling. Further stem cells can be reprogrammed from adult somatic cells, called induced pluripotent stem cells (iPSC). iPSC technology allows for the evaluation of specific study participants and populations and ventures into personalized medicine. Blood is routinely taken and cryopreserved for research purposes. These samples are processed either as buffy coats, a blood sample containing white blood cells and platelets, or as peripheral blood mononuclear cells (PBMCs), which represent a more purified population of white blood cells without eosinophils, basophils, platelets, or red blood cells. Both are a readily available and relatively non-invasive source for reprogrammable somatic cells. Several reports detail reprogramming from PBMCs, whereas only one describes this process from frozen buffy coats. Recent experience revealed PBMC reprogramming protocols available in the literature and from manufacturers to be unsuccessful when applied to frozen buffy coat samples, necessitating the adaptations and troubleshooting strategies described here. For many researchers, who employ iPSC technologies, it is imperative to have thorough protocols with a high success rate, especially in cases, where patient samples may contain only few cells, are obtained in wide time intervals, are from limited participant pool, or are otherwise highly valuable. Here, checkpoints and troubleshooting strategies are identified to increase the chance of reprogramming human frozen buffy coats or purified PBMCs. Ultimately, this protocol will allow researchers to identify predictors of reprogramming success and strategize alternative approaches to improve the chances of successful iPSC derivation.
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