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• W2161661133 abstract "Phenotypic screening has regained momentum in the pharmaceutical industry owing to its success over target-based screening. Most phenotypic screening relies on nonspecific biochemical readouts regarding cellular viability, which hampers the discovery of novel drug mechanisms of action (MOAs). Here we present a Contractility-based bi-Content micro-Collagen Chip (3CChip), which establishes cellular contractility as a biomechanics-related phenotype for drug screening. Bi-content analysis of cell contractility (imaged by iPhone) and viability suggests that the label-free contractility-based analysis exhibits superior sensitivity to compounds targeting contractile elements (e.g. focal adhesion, cytoskeleton), resulting in a enlarged target pool for drug assessment. Six typical readout patterns of drug response are summarized according to the relative positions of the contraction/viability curves, and drug targets are profiled into three categories (biomechanical, biochemical and housekeeping) by 3CChip, which will benefit subsequent target identification. The simple-to-use and effective 3CChip offers a robust platform for micro-tissue-based functional screening and may lead to a new era of mechanism-informed phenotypic drug discovery." @default.
• W2161661133 created "2016-06-24" @default.
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• W2161661133 date "2015-01-01" @default.
• W2161661133 modified "2023-10-15" @default.
• W2161661133 title "Bi-content micro-collagen chip provides contractility-based biomechanical readout for phenotypic drug screening with expanded and profiled targets" @default.
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• W2161661133 doi "https://doi.org/10.1039/c5lc00589b" @default.
• W2161661133 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26219255" @default.
• W2161661133 hasPublicationYear "2015" @default.
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