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TheCellVision.org:一个可视化和挖掘高通量细胞成像项目的数据库。

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

机构信息

The Donnelly Centre, University of Toronto, Ontario, M5S 3E1, Canada.

The Donnelly Centre, University of Toronto, Ontario, M5S 3E1, Canada

出版信息

G3 (Bethesda). 2020 Nov 5;10(11):3969-3976. doi: 10.1534/g3.120.401570.

DOI:10.1534/g3.120.401570
PMID:32934016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7642925/
Abstract

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 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.

摘要

基因组工程和高通量成像技术的进步使单细胞的各种表型(包括亚细胞形态和蛋白质定位)的全基因组筛选成为可能。我们构建了 TheCellVision.org,这是一个免费的、可通过网络访问的图像可视化和数据浏览工具,它是荧光显微镜图像和高内涵筛选实验产生的相关定量数据的中央存储库。目前,TheCellVision.org 拥有约 575590 张图像和来自两个已发表的高内涵筛选 (HCS) 项目的相关分析结果,这些项目专注于出芽酵母。TheCellVision.org 允许用户访问、可视化和探索荧光显微镜图像,并进行搜索、比较和提取与亚细胞区室形态、蛋白质丰度和定位相关的数据。每个数据集都可以独立查询,也可以通过高级搜索选项在多个数据集之间进行搜索。该网站还托管与可用数据集相关的计算工具,这些工具可以应用于其他项目和细胞系统,我们使用已发表的哺乳动物细胞图像演示了这一功能。通过像 TheCelllVision.org 这样的网站提供 HCS 数据,可促进对成像数据的新发现和独立再分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3872/7642925/e0b9f93599c7/3969f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3872/7642925/4ac405352724/3969f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3872/7642925/bf490dbd3143/3969f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3872/7642925/e0b9f93599c7/3969f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3872/7642925/4ac405352724/3969f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3872/7642925/bf490dbd3143/3969f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3872/7642925/e0b9f93599c7/3969f3.jpg

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YeastRGB: comparing the abundance and localization of yeast proteins across cells and libraries.YeastRGB:比较细胞和文库中酵母蛋白的丰度和定位。
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