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Building on a map that shows hundreds of thousands of microscopic images of human cells, an international research team is working with the gaming community and with artificial intelligence to gain a more granular understanding of patterns of proteins arranged within cells.
The advances were reported by a collaboration between KTH Royal Institute of Technology, CCP Games and Massively Multiplayer Online Science.
Study - September - Issue - Nature - Biotechnology
The study is published in the September issue of Nature Biotechnology. The researchers report that gamers, or "citizen scientists," boosted the AI system used for predicting protein localization on a subcellular level. The combination of crowdsourcing and AI led to improved classification of subcellular protein patterns and the first-time identification of 10 new members of the family of cellular structures known as "rods and rings," says Emma Lundberg, a researcher from KTH who leads the Cell Atlas, part of the Human Protein Atlas, at the Science for Life joint research center.
Lundberg says the data is being actively integrated into the publicly-available Human Protein Atlas database, and will be a resource for researchers worldwide who are working toward a greater understanding of human cells, proteins and disease development.
Researchers - Massively - Multiplayer - Online - Science
The researchers partnered with Massively Multiplayer Online Science and CCP Games to integrate analysis of protein localization from the Human Protein Atlas images directly into EVE Online, a popular massively multiplayer online game. The resulting mini-game, called "Project Discovery," featured Lundberg's avatar, making her one of the first living scientists to be featured in an online game. It was played by more than 300,000 citizen scientists within EVE Online, who together generated more than 33 million image classifications of protein subcellular localization, an achievement hailed as a milestone in citizen science.
Image of the uncharacterized UPF0769 protein C21orf59 (green) that was for the first time identified to be localized to the Rods...
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