Single-Cell Profiling Identifies Key Pathways Expressed by iPSCs Cultured in Different Commercial Media

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Date
2018-09-28
Authors
Daniszewski, Maciej
Nguyen, Quan
Chy, Hun S
Singh, Vikrant
Crombie, Duncan E
Kulkarni, Tejal
Liang, Helena Hai
Sivakumaran, Priyadharshini
Lidgerwood, Grace E
Hernandez, Damian
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
We assessed the pluripotency of human induced pluripotent stem cells (iPSCs) maintained on an automated platform using StemFlex and TeSR-E8 media. Analysis of transcriptome of single cells revealed similar expression of core pluripotency genes, as well as genes associated with naive and primed states of pluripotency. Analysis of individual cells from four samples consisting of two different iPSC lines each grown in the two culture media revealed a shared subpopulation structure with three main subpopulations different in pluripotency states. By implementing a machine learning approach, we estimated that most cells within each subpopulation are very similar between all four samples. The single-cell RNA sequencing analysis of iPSC lines grown in both media reports the molecular signature in StemFlex medium and how it compares to that observed in the TeSR-E8 medium.
Description
© 2018 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords
Stem Cells Research, Transcriptomics, Automation
Citation
Daniszewski, M., Nguyen, Q., Chy, H. S., Singh, V., Crombie, D. E., Kulkarni, T., … Pébay, A. (2018). Single-Cell Profiling Identifies Key Pathways Expressed by iPSCs Cultured in Different Commercial Media. iScience, 7, 30–39. https://doi.org/10.1016/j.isci.2018.08.016