TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects.
Myra Paz David Masinas1, Mojca Mattiazzi Usaj2, Matej Usaj1
1The Donnelly Centre, University of Toronto, Ontario, M5S 3E1, Canada.
G3 (Bethesda, Md.)
|September 16, 2020
Summary
TheCellVision.org is a new online tool for exploring high-content screening data, featuring over 575,000 images of yeast cells. This resource facilitates discovery and re-analysis of subcellular morphology and protein localization data.
Area of Science:
- Cell Biology
- Bioinformatics
- Genomics
Background:
- Genome engineering and high-throughput imaging enable genome-scale single-cell screens for various phenotypes.
- Subcellular morphology and protein localization are key phenotypes studied in high-content screening (HCS).
Purpose of the Study:
- To create a freely available, web-accessible tool called TheCellVision.org for visualizing and browsing HCS image data.
- To serve as a central repository for fluorescence microscopy images and quantitative data from HCS experiments.
Main Methods:
- Construction of TheCellVision.org as a web-accessible platform.
- Hosting approximately 575,590 images and analysis results from two HCS projects on Saccharomyces cerevisiae.
- Development of search and data extraction functionalities for subcellular morphology, protein abundance, and localization.
Main Results:
- TheCellVision.org provides access to a large dataset of HCS images and associated quantitative data.
- Users can visualize, explore, search, compare, and extract data related to cellular phenotypes.
- Computational tools are available and demonstrated for use with mammalian cell images.
Conclusions:
- TheCellVision.org enables new discoveries and independent re-analyses of HCS imaging data.
- Web-accessible repositories like TheCellVision.org are crucial for advancing biological research using imaging data.
