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Publication Detail

Title: Video bioinformatics analysis of human pluripotent stem cell morphology, quality, and cellular dynamics.

Authors: Lin, Sabrina C; Loza, Antonio; Antrim, Lauren; Talbot, Prue

Published In Stem Cells Transl Med, (2021 09)

Abstract: StemCellQC is a video bioinformatics software tool for the quantitative analysis of human pluripotent stem cell (hPSC) colonies. Our objective was to use StemCellQC to evaluate and compare various experimental culture conditions, cell lines, and treatments and to demonstrate its applicability to PSC problems. Seven key features were identified that provided useful information on PSC morphology, dynamic behavior, and viability. Colony attachment was better on laminin-521 than on Matrigel and Geltrex. Growth rates were similar on each matrix when data were normalized. The brightness/area ratio feature showed greater cell death in colonies grown on Matrigel and Geltrex than on laminin-521 further contributing to an overall greater yield of cells on laminin-521. Four different PSC culture media performed similarly; however, one medium produced batch-to-batch variation in colony morphology and dynamic features. Two embryonic and one induced pluripotent stem cell line showed significant differences in morphology, growth rates, motility, and death rates. Cells from the same vial that became phenotypically different in culture showed measurable differences in morphology, brightness, and motility. Likewise, differentiating and undifferentiated colonies varied in growth rate, intensity, and motility. Three pluripotent cell lines treated with a low concentration of cinnamaldehyde, a chemical used in consumer products, showed adverse effects and differed in their sensitivity to treatment. Our data demonstrate various applications of StemCellQC which could be used in basic and translational research, toxicological and drug testing, and clinical facilities engaged in stem cell therapy.

PubMed ID: 34089307 Exiting the NIEHS site

MeSH Terms: Cell Culture Techniques; Cell Differentiation; Computational Biology; Humans; Induced Pluripotent Stem Cells*; Pluripotent Stem Cells*

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