Host Genes and Resistance/Sensitivity to Military Priority Pathogens

Abstract

This report provides data from our study of differential susceptibility to DoD priority pathogens (Francisella tularensis (FT), Burkholderia pseudomallei (Bp), Acinetobacter baumannii (Ab), Leishmania major (Lm), SARS, H5N1 avian influenza) using BXD recombinant inbred mice. The FT project identified phenotypes that correlate with differential immune response to pneumonic infections. The Ab project has identified clear phenotypic differences between the innate immune responsiveness of B6 and D2 mice to pulmonary infection. The Bp project has identified QTLs linked with differential susceptibility to pneumonic Bp infection. The SARS project found difference in susceptibility to MA15 virus infection between B6 and D2 mouse strains. The influenza project has identified a significant QTL associated with early production of proinflammatory cytokines on Chr 6. The Lm project has identified two suggestive loci on Chr 12 and 15 regulating parasite burden. The mouse genomics core generated datasets for different mouse strains (available on www.genenetwork.org). The Bioinformatics (Modeling core) analyzed biological data from projects using Bayesian network analysis and created a Bayesian Network Webserver. The Chlamydia genetic studies in BXD mice was used as the prototype model. The bioinformatics core used this model to develop and integrate the algorithms for testing pathways underlying host responses to pathogen infections.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA622069

Entities

People

  • Adranius Boon
  • Gerald I. Byrne
  • Kui Li
  • Lu Lu
  • Mark A. Miller
  • Mark Bix
  • Robert W. Williams
  • Tony Marion
  • Yan Cui

Organizations

  • University of Tennessee system

Tags

DTIC Thesaurus Topics

  • Birds
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Genetics
  • Health Services
  • Medical Personnel

Fields of Study

  • Biology

Readers

  • Immunology
  • Infectious Disease/Epidemiology
  • Molecular and genetic basis of cancer.

Technology Areas

  • AI & ML
  • Biotechnology
  • Biotechnology - Cancer Biotech