SBIR-STTR Award

High-Throughput Proteomics Strategy for Detection and Identification of Biomarkers of Malaria Exposure
Award last edited on: 3/1/2007

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$799,843
Award Phase
2
Solicitation Topic Code
A04-198
Principal Investigator
Guck Ooi

Company Information

Sun Biomedical Technologies

430 Magna Vista
Ridgecrest, CA 93555
   (760) 371-5088
   EWFerguson@starband.net
   N/A
Location: Single
Congr. District: 23
County: Kern

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2005
Phase I Amount
$69,874
This proposal will focus on identification and characterization of host proteomic responses to malaria during the early stages of exposure prior to the development of clinical symptoms. The in vivo study will be complemented by in vitro studies where early host responses during the pre-erythrocyte, hepatic and non-symptomatic stage of the disease will be fully characterized using combined proteomics and genomics technologies to accelerate the identification of blood biomarkers that will lead to highly accurate and sensitive diagnosis of early exposure to malaria infection. We will use ProteinChip Surface Enhanced Laser Desorption and Ionization (SELDI) technology combined with Time-of-Flight Mass Spectrometry (TOF-MS) as a high throughput proteomic strategy to screen and identify early molecular markers predictive of malaria disease progression. This strategy can be easily automated to provide a rapid, sensitive and high throughput proteomic system to identify molecular signatures of malaria exposure. Selected candidate biomarkers in plasma/serum will be validated in a larger population, and will be assessed to determine their utility in prediction of malaria exposure. Our goal is to develop a rapid, robust and portable diagnostic kit or biosensor based on the validated malaria biomarkers

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2005
Phase II Amount
$729,969
This proposal will focus on further identification and characterization of host proteomic and genomic responses to malaria during the early stages of exposure and infection prior to the development of clinical symptoms. The in vivo study will be complemented by in vitro studies where early host responses during the pre-erythrocyte, hepatic and non-symptomatic stage of the disease will be fully characterized using combined proteomics and genomics technologies to accelerate the identification of blood biomarkers that will lead to highly accurate and sensitive diagnosis of early, asymptomatic malaria infection. We will use ProteinChip Surface Enhanced Laser Desorption and Ionization (SELDI) Time-of-Flight Mass Spectrometry (TOF-MS), Ultra Performance Liquid Chromatography (UPLC), and Affymetrix GeneChip microarrays to screen and identify early molecular markers predictive of malaria disease progression. This strategy can be easily automated to provide a rapid, sensitive and high throughput proteomic system to identify molecular signatures of malaria exposure. Selected candidate biomarkers in plasma/serum will be validated in a larger population, and will be assessed to determine their utility in prediction of malaria infection. Our goal is to develop a rapid, robust and portable diagnostic kit or biosensor based on the validated malaria biomarkers.

Keywords:
Malaria, Infection, Exposure, Biomarkers, Proteomics, Genomics, Mass Spectrometry