ArticleScientific reports2016
Quantifying and predicting Drosophila larvae crawling phenotypes.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
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- Superparamagnetic MnFeBiomaterials and biosystems · 2025Article
- Behavioral resilience via dynamic circuit firing homeostasis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Continuous, long-term crawling behavior characterized by a robotic transport system.bioRxiv : the preprint server for biology · 2023Article
- Review
- The conserved alternative splicing factor caper regulates neuromuscular phenotypes during development and aging.Developmental biology · 2021Article
- Oxalate-Degrading Bacillus subtilis Mitigates Urolithiasis in a Drosophila melanogaster Model.mSphere · 2020Article
- Article
- JumpDetector: An automated monitoring equipment for the locomotion of jumping insects.Insect science · 2020Article
- Rosy Beginnings: Studying Peroxisomes inFrontiers in cell and developmental biology · 2020Review
- Modelling the mechanics of exploration in larval Drosophila.PLoS computational biology · 2019Article
- Article
- Statistical modelling of navigational decisions based on intensity versus directionality in Drosophila larval phototaxis.Scientific reports · 2018Article
- Modeling Fragile X Syndrome inFrontiers in molecular neuroscience · 2018Review
- Hyperactive locomotion in aScience signaling · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.