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GenSAT (Gene Expression Nervous System Atlas) project announced

w she would need to put her considerable expertise in imaging the brain to work if Gensat was going to succeed. Today, the Gensat project recreates for scientists and students the experience of sitting down to look at brain specimens at a microscope. Seeing genes expressed in every cell type in the brain, and viewing that expression in a traditional, anatomical format, provide researchers with more insights about the function of genes.

To achieve this result, the project's automated microscope records mouse brain specimens for every gene in the atlas at three developmental stages. The images are captured at high resolution, checked for accuracy by several of the 20 researchers involved with the project, annotated and prepared for inclusion in the database.

The organizational challenge alone for such a large-scale project is impressive. But Heintz and Hatten faced more than an organizational challenge when they started out. The means of displaying high-resolution digital images on the scale they envisioned simply did not exist.

"It was like going into a bike shop and designing a bike that no one has ever imagined before," says Hatten. "All the components were available, but we had to put them together and design the computing systems to run them for the first time."

The lead duo were fortunate to attract gifted scientists and a programmer to the project, without whom, they would never have achieved all the significant technical infrastructure and refinements required at every stage. The scientists include Shiaoching Gong, Chen Zheng, Martin Doughty, Kasia Losos and programmer Nick Didkovsky. Heintz and Hatten describe this group as "some of the most talented young researchers we've ever worked with." Remarkably, Didkovsky, without prior exposure to science, worked closely with Hatten to build an operating system for Gensat from the ground up.

The National Institute of Neurologic Disease and Stroke (NINDS), a part of the Nationa
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Contact: Lynn Love
lovel@rockefeller.edu
212-327-8977
Rockefeller University
29-Oct-2003


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