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Novel Lipid Deposition for Biosensor Surfaces

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0214408
Agency Tracking Number: 0214408
Amount: $99,984.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
PO Box 11704
Blacksburg, VA 24062
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Shufang Luo
 (540) 953-4295
 luos@lunainnovations.com
Business Contact
 Garnett Linkous
Title: Chief Administrative Officer
Phone: () -
Email: linkousg@lunainnovations.com
Research Institution
 U of Pennsylvania Medicine
 Irwin M Chaiken
 
Department of Medicine 909 Stellar Chance Laboratories
Philadelphia, PA 19104
United States

 (215) 573-9678
 Nonprofit College or University
Abstract

This Small Business Technology Transfer (STTR) Phase I project will develop sensing instrumentation containing bioengineered surfaces that are compatible with relevant, disease-associated proteins. Of particular interest in the fields of pharmaceutical design and cell biology is the seven-transmembrane segment, G protein-coupled receptors (GPCRs). GPCRs represent a class of bioactive proteins that encompass 1-2 percent of all encoded protein within the human genome and have been the focus of extensive study in signal recognition and propagation within the human body. These receptors, it is estimated, comprise up to 70 percent of potential drug candidates. However, a valid measurement of protein-protein interactions has been elusive due to the technical reliance upon cell extracts or live cellular systems, both of which can convolute data. Luna Innovations along with their partners at the University of Pennsylvania propose a novel, cell-free system to measure the biophysical association between hydrophobic GPCRs and their ligands. The proposed optical fiber-based system, based on a lipid bilayer deposition, is essential not only to understand the important components of biological systems but also to vastly improve the accuracy of contemporary biochip measurements.

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

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