The human oral cavity harbors complex microbial assemblages, which are associated with the manifestation or prevention of local and systemic disease. In addition, the oral cavity is one of the main ports of entry for potentially life-threatening agents released in the course of a bioterroristic attack. Conventional culture-based approaches for monitoring microbes in the oral cavity are not feasible since they are time-consuming and capture only a minor fraction of the oral microbiota. This project uses nucleic acid-based hybridization assays as an alternative to culture-based approaches. Specifically, target-specific and generic high-density DNA microchips will be used for the fast and reliable detection of microbial biomarkers in oral fluids. Two general formats of DNA microarrays will be used: (I) the OralChip, consisting of hierarchical sets of pro-and eukaryal ribosomal RNA-targeted oligonucleotide probes, and (II) the generic HexamerChip, containing all possible (4096) DNA hexamers. To further increase its diagnostic power, the OralChip will be expanded to include probes that detect the expression of genes involved in microbial community structure and virulence. Innovative statistical and mathematical tools will be applied for the integrated data analysis of both formats (i.e. artificial neural networks combined with conventional statistical approaches such as cluster analyses). This novel approach is expected to (i) provide population- and community-specific signature patterns of microbiota associated with oral microbial communities, ii) yield fast and unambiguous detection of biothreat-agents, (iii) determine the limitations (sensitivity, resolution) of the formats, and iv) reveal structural and functional attributes of the oral microbiota at high spatial and temporal resolution, specifically those associated with manifestation and prevention of local and systemic disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Dental & Craniofacial Research (NIDCR)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01DE014955-04
Application #
6909877
Study Section
Special Emphasis Panel (ZDE1-GH (68))
Program Officer
Shum, Lillian
Project Start
2002-09-30
Project End
2008-06-30
Budget Start
2005-07-01
Budget End
2008-06-30
Support Year
4
Fiscal Year
2005
Total Cost
$876,171
Indirect Cost
Name
University of Washington
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Pozhitkov, Alex E; Rule, Rebecca A; Stedtfeld, Robert D et al. (2008) Concentration dependency of nonequilibrium thermal dissociation curves in complex target samples. J Microbiol Methods 74:82-8
Handfield, M; Baker, H V; Lamont, R J (2008) Beyond good and evil in the oral cavity: insights into host-microbe relationships derived from transcriptional profiling of gingival cells. J Dent Res 87:203-23
Pozhitkov, Alex E; Bailey, Kyle D; Noble, Peter A (2007) Development of a statistically robust quantification method for microorganisms in mixtures using oligonucleotide microarrays. J Microbiol Methods 70:292-300
Pozhitkov, Alex E; Tautz, Diethard; Noble, Peter A (2007) Oligonucleotide microarrays: widely applied--poorly understood. Brief Funct Genomic Proteomic 6:141-8
Pozhitkov, Alex E; Stedtfeld, Robert D; Hashsham, Syed A et al. (2007) Revision of the nonequilibrium thermal dissociation and stringent washing approaches for identification of mixed nucleic acid targets by microarrays. Nucleic Acids Res 35:e70
Starke, E Michelle; Smoot, James C; Wu, Jer-Horng et al. (2007) Saliva-based diagnostics using 16S rRNA microarrays and microfluidics. Ann N Y Acad Sci 1098:345-61
Pozhitkov, Alex E; Noble, Peter A (2007) Comment on ""Discrimination of shifts in a soil microbial community associated with TNT-contamination using a functional ANOVA of 16S rRNA hybridized to oligonucleotide microarrays"". Environ Sci Technol 41:1797-8;author reply 1799-1800
Pozhitkov, Alex; Noble, Peter A; Domazet-Loso, Tomislav et al. (2006) Tests of rRNA hybridization to microarrays suggest that hybridization characteristics of oligonucleotide probes for species discrimination cannot be predicted. Nucleic Acids Res 34:e66
Lee, Hyun Ho; Smoot, James; McMurray, Zack et al. (2006) Recirculating flow accelerates DNA microarray hybridization in a microfluidic device. Lab Chip 6:1163-70
Eyers, Laurent; Smoot, James C; Smoot, Laura M et al. (2006) Discrimination of shifts in a soil microbial community associated with TNT-contamination using a functional ANOVA of 16S rRNA hybridized to oligonucleotide microarrays. Environ Sci Technol 40:5867-73

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