Abstract
Morphometric studies in multicellular organisms are generally performed manually because of the complexity of multidimensional features and lack of appropriate tools for handling these organisms. Here we present an integrated system that identifies and sorts Caenorhabditis elegans mutants with altered subcellular traits in real time without human intervention. We performed self-directed screens 100 times faster than manual screens and identified both genes and phenotypic classes involved in synapse formation.
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Acknowledgements
We thank funding from the US National Institutes of Health, US National Science Foundation, Alfred P. Sloan Foundation and Howard Hughes Medical Institute.
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M.M.C. wrote the software, designed the microfluidic device and performed the screens. M.M.C. and J.N.S. designed and built the external system components. C.-Y.O. performed the complementation tests. P.T.K. performed the mapping and provided valuable reagents. M.M.C., J.N.S., J.M.R., K.S. and H.L. designed the experiments and prepared the manuscript.
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The authors declare no competing financial interests.
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Supplementary Figures 1–9, Supplementary Tables 1 and 2 and Supplementary Notes 1–4 (PDF 779 kb)
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Supplementary Software (ZIP 274 kb)
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Crane, M., Stirman, J., Ou, CY. et al. Autonomous screening of C. elegans identifies genes implicated in synaptogenesis. Nat Methods 9, 977–980 (2012). https://doi.org/10.1038/nmeth.2141
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DOI: https://doi.org/10.1038/nmeth.2141
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