An In Toto Approach to Dissecting Cellular Interactions in Complex Tissues

Single-cell measurements have broadened our understanding of heterogeneity in biology, yet have been limited to mostly observational studies of normal or globally perturbed systems. Typically, perturbations are utilized in an open-ended approach wherein an endpoint is assayed during or after the biological event of interest. Here we describe ShootingStar, a platform for perturbation analysis in vivo, which combines live imaging, real-time image analysis, and automated optical perturbations. ShootingStar builds a quantitative record of the state of the sample being analyzed, which is used to automate the identification of target cells for perturbation, as well as to validate the impacts of the perturbation. We used ShootingStar to dissect the cellular basis of development, morphogenesis, and polarity in the lateral line of Danio rerio and the embryo of Caenorhabditis elegans. ShootingStar can be extended to diverse optical manipulations and enables more robust and informative single-cell perturbations in complex tissues. Shah et al. present ShootingStar, a platform that combines 3D time-lapse microscopy with real-time image analysis for automated single-cell resolution optical perturbations in vivo. The authors apply this system to probe regulation of C. elegans neuronal morphogenesis and zebrafish lateral-line cell polarization to demonstrate its application in diverse contexts.