Princeton Professor Works on Producing a Comprehensive Integrated Biology Database
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Dr. Botstein is professor and director of the Lewis-Sigler Institute for Integrative Genomics and the Center for Quantitative Biology at Princeton University. The three-year award of Agilent Technologies Foundation funding will support Dr. Botstein’s research. Agilent Technologies Inc. (NYSE: A) will make a a company donation of a microfluidic liquid chromatography-on-a-chipsystem, a 1290 Infinity UHPLCsystem, a 6500 Series quadrupole time-of-flight mass spectrometrysystem and software. The awards from the foundation and the company are valued at more than $800,000.
The funded work at the Center for Quantitative Biology will produce the most complete genomic, proteomic and metabolomic data sets from any eukaryote (organism with cells containing membrane-enclosed structures including nucleus) to date. The awards also will go toward the development of data integration, analysis and visualization solutions.
“The Agilent awards will enable us to provide a complete biochemical characterization of a eukaryotic cell,” said Botstein. “The mass spectrometry expertise of Agilent in both proteomics and metabolomics is an invaluable complement to our ongoing efforts in these areas,” Rabinowitz said.
“Dr. Botstein and his Center for Quantitative Biology colleagues Drs. Rabinowitz, Garcia and Kruglyak are leaders in the generation of high-quality omic-scale datasets in genomics, metabolomics and proteomics, as well as in data integration and analysis,” said Gustavo Salem, vice president and general manager, Agilent Biological Systems Division. “We’re very pleased to support this exciting work, focusing on the creation of datasets around energy metabolism in eukaryotics cells. This project will produce reference tools that will be used for many years to come.”
Agilent’s Thought Leader Program promotes fundamental advances in the life sciences by contributing financial support, products and/or expertise to the research of influential thought leaders.
