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A Universal Bio-Signature Detection Array for Species Identification of Leishmania and Sand Fly Vector

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-11-C-0054
Agency Tracking Number: A102-118-0740
Amount: $69,500.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A10-118
Solicitation Number: 2010.2
Solicitation Year: 2010
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-02-14
Award End Date (Contract End Date): N/A
Small Business Information
2501 Earl Rudder Freeway South
College Station, TX -
United States
DUNS: 184758308
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John Mueller
 Sr. Research Scientist
 (979) 764-2200
Business Contact
 G. Hisaw
Title: Sr. Contracts Administrator
Phone: (979) 764-2343
Research Institution

Leishmaniasis is a disease endemic to several tropical and sub-tropical regions of the world which is spread by the bite of female sandfly carrying parasites known as Leishmania. Pathological manifestations of infection range from itchy skin to disfiguring ulcerous sores and death, requiring varying treatment strategies. Deployed US military personnel in regions of the Middle East and Sub-Saharan Africa are at risk of infection. Although several species of both parasite and sandfly are known, only some sandfly species are man-biting, requiring tailored sandfly population control strategies, and medical intervention response is parasite-species specific. Thus, the control and treatment of leishmaniases depends on proper detection of infected vectors and accurate identification of vector and parasite species. Existing approaches include DNA and enzyme-based methods that have various limitations, including cost, time, and a lack of specificity and/or sensitivity. Lynntech proposes a new, DNA chip-based technology that generates unique biosignatures of individual sandfly and Leishmania species, without prior genomic information, which can be used to simultaneously genotype both species from extracted sandfly DNA mixtures using mathematical clustering methods. The technology will have wider biodefense significance; i.e., for pathogen and host forensics, identifying engineered pathogen strains, and measuring genetic response to CBRN exposure.

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

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