کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4753376 1416554 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Image-based cell quality evaluation to detect irregularities under same culture process of human induced pluripotent stem cells
ترجمه فارسی عنوان
ارزیابی کیفی سلول های تصویر برای تشخیص بی نظمی ها در فرایند کشت همان سلول های بنیادی پلوروپتول القا شده توسط انسان
کلمات کلیدی
کنترل کیفیت، سلول های بنیادی پلوروپتوژن منجر شده، تجزیه و تحلیل مورفولوژی، ارزیابی کیفیت سلول، مشخصات بیان ژن، تجزیه و تحلیل متابولومیک،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی
To meet the growing demand for human induced pluripotent stem cells (iPSCs) for various applications, technologies that enable the manufacturing of iPSCs on a large scale should be developed. There are several technological challenges in iPSC manufacturing technology. Image-based cell quality evaluation technology for monitoring iPSC quality in culture enables the manufacture of intact cells for further applications. Although several studies have reported the effectiveness of image-based evaluation of iPSCs, it remains challenging to detect irregularities that may arise using the same processing operations during quality evaluation of automated processing. In this study, we investigated the evaluation performance of image-based cell quality analysis in detecting small differences that can result from human measurement, even when the same protocol is followed. To imitate such culture conditions, by image-analysis guided colony pickup, we changed the proportions of morphologically different subpopulations: “good morphology, regular morphology correlated with undifferentiation marker expression” and “bad morphology, irregular morphology correlated with loss of undifferentiation marker expression”. In addition, comprehensive gene-expression and metabolomics analyses were carried out for the same samples to investigate performance differences. Our data shows an example of investigating the usefulness and sensitivity of quality evaluation methods for iPSC quality monitoring.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Bioscience and Bioengineering - Volume 123, Issue 5, May 2017, Pages 642-650
نویسندگان
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