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SBIR Phase II: Automated 2D Protein Cell Mapping

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0321763
Agency Tracking Number: 0215304
Amount: $499,938.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2004
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
1411 Warner Avenue. Suite B&D
Tustin, CA 92780
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jack Syage
 (714) 258-4400
Business Contact
 Jack Syage
Phone: (714) 258-4400
Research Institution

This Small Business Innovation Research Phase I project will develop a method for conducting high-throughput, automated analysis of the protein content of cell lines using a novel mass analyzed two-dimensional liquid-phase separation method. The conventional method of two-dimensional poly-acrylamide gel electrophoresis (2D PAGE) has several limitations ; it is labor intensive, time consuming, difficult to automate and often not readily reproducible. In addition, quantitation, especially in differential expression experiments, is often difficult and limited in dynamic range. The proposed technology provides automated, faster, and more accurate 2D protein maps, and can be used to purify specific proteins and enact protein/peptide digest and sequencing information. These capabilities will prove valuable for studying drug-protein interactions for detecting early signs of cancer. Studies of cancer cell lines can reveal signatures of cancerous cells that can serve as markers for actual diagnosis. The proposed system is based on 2D liquid-phase protein separation using chromatofocusing (CF) in one dimension and non-porous silica, reverse-phase, high-performance liquid chromatography (NPS-RP HPLC) in the second dimension. The HPLC eluent is monitored in real-time by on-line electrospray ionization (ESI) mass spectrometry (MS) to provide molecular weight and intensity information.

The commercial application of this project is in the area of proteomics. The proteomics market is forecasted to grow from $ 0.7 billion to $ 5.8 billion over the next 5 years. There is a tremendous need to develop automated methods of protein analysis and peptide analysis of cell lines to better understand global biological function for improved drug therapy and early detection of disease, such as cancer.

* Information listed above is at the time of submission. *

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