Automated phenotyping and lifespan assessment of a C. elegans model of Parkinson’s disease

Abstract

Phenotypic analysis of Caenorhabditis elegans has greatly advanced our understanding of the molecular mechanisms implicated in the aging process as well as in age-related pathologies. However, conventional high-resolution imaging methods and survival assays are labor-intensive and subject to operator-based variations and decreased reproducibility. Recent advances in microfluidics and automated flatbed scanner technologies have significantly improved experimentation by eliminating handling errors and increasing the sensitivity in measurements. Here, we introduce a medium-throughput microfluidic platform, which efficiently positions and immobilizes single worms through pressurization for high resolution imaging. Worms are sorted based on select imaging criteria, and subsequently transferred into multi-well plates for automated lifespan assessment. To illustrate the applicability of this method, we imaged α-synuclein deposits in a C. elegans model of Parkinson’s Disease (PD). We found that age synchronized individuals expressing human α-synuclein vary greatly in the quantity and size of intracellular α-synuclein foci at early stages in life. Subsequent lifespan analysis of the individuals, however, did not reveal any correlation between the number or extent of α-synuclein deposits and subsequent lifespan. These studies suggest that the observed natural variations in α-synuclein deposits found in C. elegans models of PD do not originate from inherent differences in the fitness of the organism or contribute to alterations in lifespan.