Host–microbe interaction systems biology: lifecycle transcriptomics and comparative genomics-Reference-Cited by-同舟云学术

Host–microbe interaction systems biology: lifecycle transcriptomics and comparative genomics

Published:2010-02 Issue:2 Volume:5 Page:205-219
ISSN:1746-0913
Container-title:Future Microbiology
language:en
Short-container-title:Future Microbiology

Author:

Sturdevant Daniel E¹,Virtaneva Kimmo¹,Martens Craig¹,Bozinov Daniel¹,Ogundare Olajumoke¹,Castro Nina¹,Kanakabandi Kishore¹,Beare Paul A²,Omsland Anders²,Carlson John H³,Kennedy Adam D⁴,Heinzen Robert A²,Celli Jean⁵,Greenberg David E⁶,DeLeo Frank R⁴,Porcella Stephen F¹

Affiliation:

1. Genomics Unit, Research Technologies Section, Research Technologies Branch, Rocky Mountain Laboratories, NIH, 904 South 4th Street, Hamilton, MT 59840, USA.

2. Coxiella Pathogenesis Section, Laboratory of Intracellular Parasites, Rocky Mountain Laboratories, NIH, 904 South 4th Street, Hamilton, MT 59840, USA.

3. Laboratory of Intracellular Parasites, Rocky Mountain Laboratories, NIH, 904 South 4th Street, Hamilton, MT 59840, USA.

4. Laboratory of Human Bacterial Pathogenesis, Rocky Mountain Laboratories, NIH, 904 South 4th Street, Hamilton, MT 59840, USA.

5. Tularemia Pathogenesis Section, Laboratory of Intracellular Parasites, Rocky Mountain Laboratories, NIH, 904 South 4th Street, Hamilton, MT 59840, USA.

6. Immunopathogenesis Section, Laboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases, NIH, 33 North Dr., Room 2W10A.3, Bethesda, MD 20892, USA.

Abstract

The use of microarray and comparative genomic technologies for the analysis of host–pathogen interactions has led to a greater understanding of the biological systems involved in infectious disease processes. Transcriptome analysis of intracellular pathogens at single or multiple time points during infection offers insight into the pathogen intracellular lifecycle. Host–pathogen transcriptome analysis in vivo, over time, enables characterization of both the pathogen and the host during the dynamic, multicellular host response. Comparative genomics using hybridization microarray-based comparative whole-genome resequencing or de novo whole-genome sequencing can identify the genetic factors responsible for pathogen evolutionary divergence, emergence, reemergence or the genetic basis for different pathogenic phenotypes. Together, microarray and comparative genomic technologies will continue to advance our understanding of pathogen evolution and assist in combating human infectious disease.

Publisher

Future Medicine Ltd

Subject

Microbiology (medical),Microbiology

Link

https://www.futuremedicine.com/doi/pdf/10.2217/fmb.09.125

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