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

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

10.1007/s00204-015-1638-y

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Bibliographic Details
Main Authors:	Su, R, Xiong, S, Zink, D, Loo, L.-H
Other Authors:	DEPT OF PHARMACOLOGY
Format:	Article
Published:	Springer Verlag 2020
Subjects:	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
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/179284
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Institution:	National University of Singapore

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Summary:	10.1007/s00204-015-1638-y