Paper
19 February 2018 A microfluidic array for high-content screening at whole-organism resolution
D. Migliozzi, M. Cornaglia, L. Mouchiroud, J. Auwerx, M. A. M. Gijs
Author Affiliations +
Abstract
A main step for the development and the validation of medical drugs is the screening on whole organisms, which gives the systemic information that is missing when using cellular models. Among the organisms of choice, Caenorhabditis elegansis a soil worm which catches the interest of researchers who study systemic physiopathology (e.g. metabolic and neurodegenerative diseases) because: (1) its large genetic homology with humans supports translational analysis; (2) worms are much easier to handle and grow in large amounts compared to rodents, for which (3) the costs and (4) the ethical concerns are substantial.C. elegansis therefore well suited for large screens, dose-response analysis and target-discovery involving an entire organism. We have developed and tested a microfluidic array for high-content screening, enabling the selection of small populations of its first larval stage in many separated chambers divided into channels for multiplexed screens. With automated protocols for feeding, drug administration and image acquisition, our chip enables the study of the nematodes throughout their entire lifespan. By using a paralyzing agent and a mitochondrial-stress inducer as case studies, we have demonstrated large field-of-view motility analysis, and worm-segmentation/signal-detection for mode-of-action quantification with genetically-encoded fluorescence reporters.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Migliozzi, M. Cornaglia, L. Mouchiroud, J. Auwerx, and M. A. M. Gijs "A microfluidic array for high-content screening at whole-organism resolution", Proc. SPIE 10491, Microfluidics, BioMEMS, and Medical Microsystems XVI, 104910D (19 February 2018); https://doi.org/10.1117/12.2285025
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Cited by 2 scholarly publications.
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KEYWORDS
Organisms

Green fluorescent protein

Liquids

Multiplexing

Bacteria

Image analysis

Genetics

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