Parametric analysis of colony morphology of non-labelled live human pluripotent stem cells for cell quality control View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Ryuji Kato, Megumi Matsumoto, Hiroto Sasaki, Risako Joto, Mai Okada, Yurika Ikeda, Kei Kanie, Mika Suga, Masaki Kinehara, Kana Yanagihara, Yujung Liu, Kozue Uchio-Yamada, Takayuki Fukuda, Hiroaki Kii, Takayuki Uozumi, Hiroyuki Honda, Yasujiro Kiyota, Miho K Furue

ABSTRACT

Given the difficulties inherent in maintaining human pluripotent stem cells (hPSCs) in a healthy state, hPSCs should be routinely characterized using several established standard criteria during expansion for research or therapeutic purposes. hPSC colony morphology is typically considered an important criterion, but it is not evaluated quantitatively. Thus, we designed an unbiased method to evaluate hPSC colony morphology. This method involves a combination of automated non-labelled live-cell imaging and the implementation of morphological colony analysis algorithms with multiple parameters. To validate the utility of the quantitative evaluation method, a parent cell line exhibiting typical embryonic stem cell (ESC)-like morphology and an aberrant hPSC subclone demonstrating unusual colony morphology were used as models. According to statistical colony classification based on morphological parameters, colonies containing readily discernible areas of differentiation constituted a major classification cluster and were distinguishable from typical ESC-like colonies; similar results were obtained via classification based on global gene expression profiles. Thus, the morphological features of hPSC colonies are closely associated with cellular characteristics. Our quantitative evaluation method provides a biological definition of 'hPSC colony morphology', permits the non-invasive monitoring of hPSC conditions and is particularly useful for detecting variations in hPSC heterogeneity. More... »

PAGES

34009

References to SciGraph publications

  • 2007-02. Adaptation to culture of human embryonic stem cells and oncogenesis in vivo in NATURE BIOTECHNOLOGY
  • 2011-12. Screening ethnically diverse human embryonic stem cells identifies a chromosome 20 minimal amplicon conferring growth advantage in NATURE BIOTECHNOLOGY
  • 2015-05. Computational image analysis of colony and nuclear morphology to evaluate human induced pluripotent stem cells in SCIENTIFIC REPORTS
  • 2015-09. dbEMT: an epithelial-mesenchymal transition associated gene resource in SCIENTIFIC REPORTS
  • 2015-09. Synergistic effects of FGF-2 and Activin A on early neural differentiation of human pluripotent stem cells in IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY - ANIMAL
  • 2015-03. CXCR7 signaling induced epithelial–mesenchymal transition by AKT and ERK pathways in epithelial ovarian carcinomas in TUMOR BIOLOGY
  • 2014-08. Aneuploidy in pluripotent stem cells and implications for cancerous transformation in PROTEIN & CELL
  • 2014. Automated, Non-Invasive Characterization of Stem Cell-Derived Cardiomyocytes from Phase-Contrast Microscopy in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2014
  • 2007-07. Characterization of human embryonic stem cell lines by the International Stem Cell Initiative in NATURE BIOTECHNOLOGY
  • 2009-12. Consensus Guidance for Banking and Supply of Human Embryonic Stem Cell Lines for Research Purposes in STEM CELL REVIEWS AND REPORTS
  • 2009-11. Live cell imaging distinguishes bona fide human iPS cells from partially reprogrammed cells in NATURE BIOTECHNOLOGY
  • 2008-01. Generation of induced pluripotent stem cells without Myc from mouse and human fibroblasts in NATURE BIOTECHNOLOGY
  • 2015-12. RETRACTED ARTICLE: CXCR4 Signaling Induced Epithelial-Mesenchymal Transition by PI3K/AKT and ERK Pathways in Glioblastoma in MOLECULAR NEUROBIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/srep34009

    DOI

    http://dx.doi.org/10.1038/srep34009

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045326416

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27667091


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