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

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dc.contributor.author Daniszewski, Maciej en_US
dc.contributor.author Nguyen, Quan en_US
dc.contributor.author Chy, Hun S en_US
dc.contributor.author Singh, Vikrant en_US
dc.contributor.author Crombie, Duncan E en_US
dc.contributor.author Kulkarni, Tejal en_US
dc.contributor.author Liang, Helena Hai en_US
dc.contributor.author Sivakumaran, Priyadharshini en_US
dc.contributor.author Lidgerwood, Grace E en_US
dc.contributor.author Hernandez, Damian en_US
dc.contributor.author Conquest, Alison en_US
dc.contributor.author Rooney, Louise A en_US
dc.contributor.author Chevalier, Sophie en_US
dc.contributor.author Andersen, Stacey B en_US
dc.contributor.author Senabouth, Anne en_US
dc.contributor.author Vickers, James Clement en_US
dc.contributor.author Mackey, David A en_US
dc.contributor.author Craig, Jamie E en_US
dc.contributor.author Laslett, Andrew L en_US
dc.contributor.author Hewitt, Alex W en_US
dc.contributor.author Powell, Joseph E en_US
dc.contributor.author Pebay, Alice en_US
dc.date.accessioned 2019-03-04T23:56:51Z
dc.date.available 2019-03-04T23:56:51Z
dc.date.issued 2018-09-28
dc.description © 2018 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). en_US
dc.description.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. en_US
dc.identifier.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 en_US
dc.identifier.doi https://doi.org/10.1016/j.isci.2018.08.016 en_US
dc.identifier.issn 2589-0042
dc.identifier.uri http://hdl.handle.net/2328/39056
dc.language.iso en en_US
dc.oaire.license.condition.license CC-BY
dc.publisher Elsevier en_US
dc.relation http://purl.org/au-research/grants/arc/FT140100047 en_US
dc.relation.grantnumber ARC/FT140100047 en_US
dc.rights © 2018 The Author(s). en_US
dc.rights.holder The Author(s). en_US
dc.subject Stem Cells Research en_US
dc.subject Transcriptomics en_US
dc.subject Automation en_US
dc.title Single-Cell Profiling Identifies Key Pathways Expressed by iPSCs Cultured in Different Commercial Media en_US
dc.type Article en_US
local.contributor.authorOrcidLookup Craig, Jamie E: https://orcid.org/0000-0001-9955-9696 en_US
local.contributor.authorOrcidLookup Pebay, Alice: https://orcid.org/0000-0002-7408-9453 en_US
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