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- W2473065265 abstract "The fruit fly Drosophila melanogaster is a widely used model for cell biology, development, disease, and neuroscience. The fly's power as a genetic model for disease and neuroscience can be augmented by a quantitative description of its behavior. Here we show that we can accurately account for the complex and unique crawling patterns exhibited by individual Drosophila larvae using a small set of four parameters obtained from the trajectories of a few crawling larvae. The values of these parameters change for larvae from different genetic mutants, as we demonstrate for fly models of Alzheimer's disease and the Fragile X syndrome, allowing applications such as genetic or drug screens. Using the quantitative model of larval crawling developed here we use the mutant-specific parameters to robustly simulate larval crawling, which allows estimating the feasibility of laborious experimental assays and aids in their design." @default.
- W2473065265 created "2016-07-22" @default.
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- W2473065265 date "2016-06-01" @default.
- W2473065265 modified "2023-10-14" @default.
- W2473065265 title "Quantifying and predicting Drosophila larvae crawling phenotypes" @default.
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- W2473065265 doi "https://doi.org/10.1038/srep27972" @default.
- W2473065265 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4914969" @default.
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- W2473065265 hasPublicationYear "2016" @default.
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