Integrating images from multiple microscopy screens reveals diverse patterns of protein subcellular localization change.
Elife. 2018 Apr 05;7:
Authors: Lu AX, Chong YT, Hsu IS, Strome B, Handfield LF, Kraus O, Andrews BJ, Moses AM
Evaluating protein localization changes on a systematic level is a powerful tool for understanding how cells respond to environmental, chemical, or genetic perturbations. To date, work in understanding these proteomic responses through high-throughput imaging has catalogued localization changes independently for each perturbation. To distinguish changes that are targeted responses to the specific perturbation and more generalized programs, we developed a scalable approach to visualize the localization behavior of proteins across multiple experiments as a quantitative pattern. By applying this approach to 24 experimental screens consisting of nearly 400,000 images, we differentiate specific responses from more generalized ones, discover nuance in the localization behavior of stress-responsive proteins, and form hypotheses by clustering proteins with similar patterns. While previous approaches aim to capture all localization changes for a single screen as accurately as possible, our work aims to integrate large amounts of imaging data to find unexpected new cell biology.
PMID: 29620521 [PubMed - as supplied by publisher]