Monitoring Microbes in the Spacecraft Environment by Mass Spectrometry of Ribosomal RNA

Award Information
Agency:
National Aeronautics and Space Administration
Amount:
$70,000.00
Program:
SBIR
Contract:
NNM06AA44C
Solitcitation Year:
2005
Solicitation Number:
N/A
Branch:
N/A
Award Year:
2006
Phase:
Phase I
Agency Tracking Number:
053368
Solicitation Topic Code:
X11.02
Small Business Information
BioTex, Inc.
8058 El Rio St., Houston, TX, 77054-4185
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
96979
Principal Investigator
 George Jackson
 Principal Investigator
 (713) 741-0111
 bill@biotexmedical.com
Business Contact
 Ashok Gowda
Title: President & CEO
Phone: (713) 741-0111
Email: ashok@biotexmedical.com
Research Institution
N/A
Abstract
The unique stresses in the spacecraft environment including isolation, containment, weightlessness, increased radiation exposure, and enhanced microbial contamination have resulted in a compromise of the immune system in every human or animal that has ever flown in space. Identifying and monitoring the microbial population in the spacecraft environment has therefore been identified as a key maintaining crew health on extended missions. While molecular methods are rapidly supplanting phenotypic identification of micro-organisms, the most successful rapid approaches have employed organism-specific nucleic acid "probes" or primers for PCR amplification. Identification by nucleic acid hybridization therefore implies a priori knowledge (or at least suspicion) of a putative organism. Such assays (including DNA microarrays) are therefore limited in generality by the number of probes or primers on hand. Sequencing of DNA is more general but time consuming and problematic in microgravity. This project describes an "open" or exploratory system with no such limitation which is also superior in speed to DNA sequencing. By leveraging the wealth of publicly available ribosomal RNA sequences for thousands of bacterial strains, and rapid mass spectrometry of novel, mass-modified RNA fragments, the system can identify bacterial species in complex organism mixtures and report their relative abundances. The technology is amenable to high-throughput automated analysis of over 200 samples in less than 2 hours and is compatible with any sample type from which total DNA can be isolated.

* information listed above is at the time of submission.

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