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TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects

Advances in genome engineering and high throughput imaging technologies have enabled genome-scale screens of single cells for a variety of phenotypes, including subcellular morphology and protein localization. We constructed TheCellVision.org, a freely available and web-accessible image visualizatio...

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Autores principales: Masinas, Myra Paz David, Usaj, Mojca Mattiazzi, Usaj, Matej, Boone, Charles, Andrews, Brenda J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642925/
https://www.ncbi.nlm.nih.gov/pubmed/32934016
http://dx.doi.org/10.1534/g3.120.401570
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author Masinas, Myra Paz David
Usaj, Mojca Mattiazzi
Usaj, Matej
Boone, Charles
Andrews, Brenda J.
author_facet Masinas, Myra Paz David
Usaj, Mojca Mattiazzi
Usaj, Matej
Boone, Charles
Andrews, Brenda J.
author_sort Masinas, Myra Paz David
collection PubMed
description Advances in genome engineering and high throughput imaging technologies have enabled genome-scale screens of single cells for a variety of phenotypes, including subcellular morphology and protein localization. We constructed TheCellVision.org, a freely available and web-accessible image visualization and data browsing tool that serves as a central repository for fluorescence microscopy images and associated quantitative data produced by high-content screening experiments. Currently, TheCellVision.org hosts ∼575,590 images and associated analysis results from two published high-content screening (HCS) projects focused on the budding yeast Saccharomyces cerevisiae. TheCellVision.org allows users to access, visualize and explore fluorescence microscopy images, and to search, compare, and extract data related to subcellular compartment morphology, protein abundance, and localization. Each dataset can be queried independently or as part of a search across multiple datasets using the advanced search option. The website also hosts computational tools associated with the available datasets, which can be applied to other projects and cell systems, a feature we demonstrate using published images of mammalian cells. Providing access to HCS data through websites such as TheCelllVision.org enables new discovery and independent re-analyses of imaging data.
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spelling pubmed-76429252020-11-13 TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects Masinas, Myra Paz David Usaj, Mojca Mattiazzi Usaj, Matej Boone, Charles Andrews, Brenda J. G3 (Bethesda) Software and Data Resources Advances in genome engineering and high throughput imaging technologies have enabled genome-scale screens of single cells for a variety of phenotypes, including subcellular morphology and protein localization. We constructed TheCellVision.org, a freely available and web-accessible image visualization and data browsing tool that serves as a central repository for fluorescence microscopy images and associated quantitative data produced by high-content screening experiments. Currently, TheCellVision.org hosts ∼575,590 images and associated analysis results from two published high-content screening (HCS) projects focused on the budding yeast Saccharomyces cerevisiae. TheCellVision.org allows users to access, visualize and explore fluorescence microscopy images, and to search, compare, and extract data related to subcellular compartment morphology, protein abundance, and localization. Each dataset can be queried independently or as part of a search across multiple datasets using the advanced search option. The website also hosts computational tools associated with the available datasets, which can be applied to other projects and cell systems, a feature we demonstrate using published images of mammalian cells. Providing access to HCS data through websites such as TheCelllVision.org enables new discovery and independent re-analyses of imaging data. Genetics Society of America 2020-09-15 /pmc/articles/PMC7642925/ /pubmed/32934016 http://dx.doi.org/10.1534/g3.120.401570 Text en Copyright © 2020 Masinas et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software and Data Resources
Masinas, Myra Paz David
Usaj, Mojca Mattiazzi
Usaj, Matej
Boone, Charles
Andrews, Brenda J.
TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects
title TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects
title_full TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects
title_fullStr TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects
title_full_unstemmed TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects
title_short TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects
title_sort thecellvision.org: a database for visualizing and mining high-content cell imaging projects
topic Software and Data Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642925/
https://www.ncbi.nlm.nih.gov/pubmed/32934016
http://dx.doi.org/10.1534/g3.120.401570
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