Multiplexed Pathogenicity Island Detection of Biowarfare Agents, Environmental Pathogens, and Food-Borne Pathogens

Abstract

The Institute for Advanced Technology (IAT) at The University of Texas at Austin (UT Austin) and UT faculty have joined together with Radix BioSolutions, Ltd. (Georgetown, TX) to transition technologies developed at UT Austin. The long-term objective of this project is to provide a fieldable system composed of a sampler and pre-sample preparation module and a transduction platform. The envisioned system combines pathogenicity island sequences with a multiplexed assay platform to develop a rapid, extensive infectious pathogen sensor. This sensor is based upon the Luminex xMAP(TM) System, a multiplexed assay platform that combines high sample throughput (up to 600 samples/hour) with high information content per sample (up to 100 parameters tested simultaneously per sample). Pathogenicity islands are DNA sequences that directly relate the infectious properties of an organism to its host. By quickly screening for multiple pathogenicity island sequences, end-users will have the capability to detect the first signs of a bioattack without requiring screening for a particular organism. Once a pathogenicity "fingerprint" is identified, an alert is transmitted to an end user, which includes military, health providers, and other government agencies.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2003
Accession Number
ADA483553

Entities

People

  • James J. Valdes
  • Kerry Oliver
  • Robert Chin
  • Shelley Payne
  • Steve Kornguth

Organizations

  • University of Texas at Austin

Tags

DTIC Thesaurus Topics

  • Bacteria
  • Biological Factors
  • Biological Toxins
  • Coding
  • Detection
  • Diseases And Disorders
  • Governments
  • Health Services
  • Identification
  • Infectious Diseases
  • Microorganisms
  • Microspheres
  • Military Research
  • Pathogenic Bacteria
  • Prokaryotes
  • Sequences
  • Transport Ships

Readers

  • Microbial Pathology
  • Oncology and Biomarker-Based Cancer Detection.
  • Research Science/Academic Research