Princeton
University Invention # 08-2458
Princeton
researchers in the Computer Science Department and the Lewis Sigler Institute
for Integrative Genomics have developed an efficient and accurate algorithm that
processes large volumes of high resolution mass spectrometry data. The
technology enables unprecedented surveys of protein, metabolite, and lipid
abundances, and thus, promises to aid in the discovery of new biology and
commercially important pharmaceuticals and disease bio-markers.
Cells
and tissues contain a mixture of three important classes of compounds: proteins,
metabolites, and lipids. The abundance of these compounds reveals the nature of
the internal state of these cells and tissues. Unbiased quantitative surveys of
these compounds across experimental conditions and controls promises to reveal
new biology and enable the discovery of new drugs and biomarkers. High
resolution liquid chromatography- tandem mass spectrometry (LC-MS/MS) is the
prevailing experimental technique for identifying and measuring the relative
abundance of proteins, metabolites, and lipids in cells and tissues across
experimental conditions. This experimental technique generates large
amounts of data. Consequently, we developed an efficient algorithm that enables
visualization of this data and enables the accurate measurement relative
protein, metabolite, and lipid abundances. We integrated this algorithm
into cross platform (Mac, Linux, and Windows) software. The software was used to
demonstrate that the algorithm handles large data sets that span hundreds of
experimental conditions and replicates on a conventional computer, vastly
exceeding the performance of existing algorithms.
Publications:
Khan
Z, Bloom JS, Garcia BA, Singh M, Kruglyak L, Protein Quantification Across
Hundreds of Experimental Conditions, 2009,
106:15544-15548.
http://www.pnas.org/content/early/2009/08/25/0904100106.abstract
http://pubs.acs.org/action/showStoryContent?doi=10.1021%2Fon.2009.09.08.417400
Princeton
is currently seeking industrial collaborators to further develop and
commercialize this technology. Patent protection is
pending.
For
more information on Princeton University invention # 08-2458 please
contact:
Laurie Tzodikov
Office of Technology Licensing and Intellectual Property
Princeton University
tzodikov@princeton.edu