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

被引:21
作者
Sturdevant, Daniel E. [1 ]
Virtaneva, Kimmo [1 ]
Martens, Craig [1 ]
Bozinov, Daniel [1 ]
Ogundare, Olajumoke [1 ]
Castro, Nina [1 ]
Kanakabandi, Kishore [1 ]
Beare, Paul A. [2 ]
Ohmsland, Anders [2 ]
Carlson, John H.
Kennedy, Adam D. [3 ]
Heinzen, Robert A. [2 ]
Celli, Jean [4 ]
Greenberg, David E. [5 ]
DeLeo, Frank R. [3 ]
Porcella, Stephen F. [1 ]
机构
[1] NIH, Genom Unit, Res Technol Sect, Res Technol Branch,Rocky Mt Labs, Hamilton, MT 59840 USA
[2] NIH, Coxiella Pathogenesis Sect, Intracellular Parasites Lab, Rocky Mt Labs, Hamilton, MT 59840 USA
[3] NIH, Lab Human Bacterial Pathogenesis, Rocky Mt Labs, Hamilton, MT 59840 USA
[4] NIH, Tularemia Pathogenesis Sect, Intracellular Parasites Lab, Rocky Mt Labs, Hamilton, MT 59840 USA
[5] NIAID, Immunopathogenesis Sect, Lab Clin Infect Dis, NIH, Bethesda, MD 20892 USA
关键词
genomics; host; microarray; microbe; GROUP-A STREPTOCOCCUS; CHLAMYDIA-TRACHOMATIS; SEQUENCE; STRAIN; EXPRESSION; RANDOMIZATION; RESISTANCE; DIVERSITY; INFECTION; EMERGENCE;
D O I
10.2217/FMB.09.125
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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 infracellular 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.
引用
收藏
页码:205 / 219
页数:15
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