Journal
DEVELOPMENTAL CELL
Volume 43, Issue 4, Pages 530-+Publisher
CELL PRESS
DOI: 10.1016/j.devcel.2017.10.021
Keywords
-
Categories
Funding
- NIH [GM097576, HD075602]
- NIH (MSK Cancer Center Support/Core) [P30 CA008748]
- NIH Office of Research Infrastructure Programs [P40 OD010440]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available