Machine-learning-based quality control of contractility of cultured human-induced pluripotent stem-cell-derived cardiomyocytes

التفاصيل البيبلوغرافية
العنوان: Machine-learning-based quality control of contractility of cultured human-induced pluripotent stem-cell-derived cardiomyocytes
المؤلفون: Kohei Sawada, Nobuyoshi Matsumoto, Ken Orita, Yuji Ikegaya
المصدر: Biochemical and biophysical research communications. 526(3)
سنة النشر: 2020
مصطلحات موضوعية: 0301 basic medicine, Quality Control, Induced Pluripotent Stem Cells, Biophysics, Pharmaceutical market, Drug Evaluation, Preclinical, Biology, Biochemistry, Models, Biological, Contractility, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, health services administration, Humans, Myocytes, Cardiac, Induced pluripotent stem cell, Molecular Biology, health care economics and organizations, Cells, Cultured, Cardiotoxicity, Microscopy, Cell Biology, Histological Labeling, Myocardial Contraction, 030104 developmental biology, Cell culture, 030220 oncology & carcinogenesis, Neuroscience
الوصف: The precise and early assessment of cardiotoxicity is fundamental to bring forward novel drug candidates to the pharmaceutical market and to avoid their withdrawal from the market. Recent preclinical studies have attempted to use human-induced pluripotent stem-cell-derived cardiomyocytes (hiPSC-CMs) to predict clinical cardiotoxicity, but the heterogeneity and inconsistency in the functional qualities of the spontaneous contractility of hiPSC-CMs across cell culture wells and product lots still matter. To rapidly assess the functional qualities of hiPSC-CMs without histological labeling, we optically detected the contractility of confluently cultured hiPSC-CMs using bright-field microscopy. Using a method that consisted of data preprocessing, data augmentation, dimensionality reduction, and supervised learning, we succeeded in precisely discriminating between functionally normal and abnormal contractions of hiPSC-CMs.
تدمد: 1090-2104
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::416d6f6205d856c3080ab6c2ffeb1b28
https://pubmed.ncbi.nlm.nih.gov/32265031
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....416d6f6205d856c3080ab6c2ffeb1b28
قاعدة البيانات: OpenAIRE