High-throughput imaging-based nephrotoxicity prediction for xenobiotics with diverse chemical structures

• Main Authors: Su, R, Xiong, S, Zink, D, Loo, L.-H
• 其他作者: PHARMACOLOGY
• 格式: Article
• 出版: Springer Verlag 2020
• 主題: cisplatin; DNA A; lithium chloride; RNA; xenobiotic agent; molecular library; mutagenic agent; Article; cell count; cell death; chemical structure; chromatin; controlled study; DNA damage; DNA damage response; gene expression; gene expression profiling; human; human cell; immortalized cell line; in vivo study; kidney tubule cell; machine learning; nephrotoxicity; phenotype; priority journal; RNA sequence; biology; cell culture; chemistry; chromatin assembly and disassembly; cytology; cytoskeleton; drug effects; feasibility study; high throughput screening; kidney proximal tubule; laboratory automation; molecular model; osmolarity; preclinical study; transformed cell line; validation study; Automation, Laboratory; Cell Death; Cell Line, Transformed; Cells, Cultured; Chromatin Assembly and Disassembly; Computational Biology; Cytoskeleton; DNA Damage; Drug Evaluation, Preclinical; Feasibility Studies; High-Throughput Screening Assays; Humans; Kidney Tubules, Proximal; Machine Learning; Models, Molecular; Molecular Structure; Mutagens; Osmolar Concentration; Small Molecule Libraries; Xenobiotics
• 在線閱讀: https://scholarbank.nus.edu.sg/handle/10635/179284
• 機構: National University of Singapore

10.1007/s00204-015-1638-y