Unknown

Dataset Information

0

The Stress-Chip: A microfluidic platform for stress analysis in Caenorhabditis elegans.


ABSTRACT: An organism's ability to mount a physiological response to external stressors is fundamental to its interaction with the environment. Experimental exploration of these interactions benefits greatly from the ability to maintain tight control of the environment, even under conditions in which it would be normal for the subject to flee the stressor. Here we present a nematode research platform that pairs automated image acquisition and analysis with a custom microfluidic device. This platform enables tight environmental control in low-density, single-worm arenas, which preclude animal escape while still allowing a broad range of behavioral activities. The platform is easily scalable, with two 50 arena arrays per chip and an imaging capacity of 600 animals per scanning device. Validating the device using dietary, osmotic, and oxidative stress indicates that it should be of broad use as a research platform, including eventual adaptation for additional stressors, anthelmintic-drug screening, and toxicology studies.

SUBMITTER: Banse SA 

PROVIDER: S-EPMC6493750 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

altmetric image

Publications

The Stress-Chip: A microfluidic platform for stress analysis in Caenorhabditis elegans.

Banse Stephen A SA   Blue Benjamin W BW   Robinson Kristin J KJ   Jarrett Cody M CM   Phillips Patrick C PC  

PloS one 20190501 5


An organism's ability to mount a physiological response to external stressors is fundamental to its interaction with the environment. Experimental exploration of these interactions benefits greatly from the ability to maintain tight control of the environment, even under conditions in which it would be normal for the subject to flee the stressor. Here we present a nematode research platform that pairs automated image acquisition and analysis with a custom microfluidic device. This platform enabl  ...[more]

Similar Datasets

| S-EPMC5575036 | biostudies-literature
| S-EPMC4348330 | biostudies-literature
| S-EPMC8433184 | biostudies-literature
| S-EPMC10508723 | biostudies-literature
| S-EPMC10873332 | biostudies-literature
| S-EPMC3192130 | biostudies-literature
| S-EPMC8327290 | biostudies-literature
| S-EPMC3722197 | biostudies-literature
| S-EPMC6917781 | biostudies-literature
| S-EPMC7511720 | biostudies-literature