Bronze level automatically awarded US beta
This data has achieved Bronze level on 22 October 2015 which means this data makes a great start at the basics of publishing open data.
Rolling wall vessels (RWV) utilizing both single cell lines and co-cultures with two or more cell types are contributing significantly to our understanding of tumor development, cell biology and the role of cell-cell interaction in physiological processes. These studies would be significantly enhanced if the various populations of cells could be individually identified and monitored over the course of experimentation. Optical and ultrasound technologies will be employed to monitor the development and structure of these constructs. Multiple studies could be further enhanced if it were possible to grow three dimensional constructs comprised of multiple human tissues in immunodeficient mice and image these with ultrasound and optical technologies. Constructs grown in mice may well develop far beyond what is currently possible in vitro. This could open the door for a multitude of previously impossible routes of investigation. We propose to introduce genes coding for firefly luciferase and GFP into various human cell types to allow each population to be monitored in real time over the course of experimentation. By using imaging technology to visualize and quantify different cell populations incorporated into the three dimensional constructs that are the result of RWV culture, our understanding of cell-cell interaction, anti-cancer drug efficacy and specificity and other aspects of cell biology will be greatly enhanced. By implanting these imagable three dimensional constructs into immunodeficient mice, it may be possible to continue growing these multicellular structures thereby affording researchers opportunities to study tumor and cell biology, cellular interaction and many other areas not currently possible.
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National Aeronautics and Space Administration Do you think this data is incorrect? Let us know
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yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
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its data licence Do you think this data is incorrect? Let us know
no data about individuals Do you think this data is incorrect? Let us know
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go out of date but it is timestamped Do you think this data is incorrect? Let us know
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http://techport.nasa.gov/xml-api/5443 Do you think this data is incorrect? Let us know
machine-readable Do you think this data is incorrect? Let us know
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