Studying Salmonellae and Yersiniae Host-Pathogen Interactions Using Integrated 'Omics and Modeling

被引：9

作者：

Ansong, Charles ^{[1
]}

Deatherage, Brooke L. ^{[1
]}

Hyduke, Daniel ^{[2
]}

Schmidt, Brian ^{[2
]}

McDermott, Jason E. ^{[3
]}

Jones, Marcus B. ^{[4
]}

Chauhan, Sadhana ^{[6
,7
]}

Charusanti, Pep ^{[2
]}

Kim, Young-Mo ^{[1
]}

Nakayasu, Ernesto S. ^{[1
]}

Li, Jie ^{[5
]}

Kidwai, Afshan ^{[5
]}

Niemann, George ^{[5
]}

Brown, Roslyn N. ^{[1
]}

Metz, Thomas O. ^{[1
]}

McAteer, Kathleen ^{[8
]}

Heffron, Fred ^{[5
]}

Peterson, Scott N. ^{[4
]}

Motin, Vladimir ^{[6
,7
]}

Palsson, Bernhard O. ^{[2
]}

Smith, Richard D. ^{[1
]}

Adkins, Joshua N. ^{[1
]}

机构：

[1] Pacific NW Natl Lab, Biol Separat & Mass Spect Grp, Richland, WA 99352 USA

[2] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA

[3] Pacific NW Natl Lab, Computat Biol & Bioinformat Grp, Richland, WA 99352 USA

[4] J Craig Venter Inst, Rockville, MD USA

[5] Oregon Hlth & Sci Univ, Dept Mol Microbiol & Immunol, Portland, OR 97201 USA

[6] Univ Texas Med Branch, Dept Pathol, Galveston, TX 77555 USA

[7] Univ Texas Med Branch, Dept Microbiol & Immunol, Galveston, TX 77555 USA

[8] Washington State Univ Tri Cities, Biol Program, Richland, WA USA

来源：

SYSTEMS BIOLOGY | 2013年 / 363卷

关键词：

ESCHERICHIA-COLI; III SECRETION; NETWORK INFERENCE; VIRULENCE FACTORS; PROTEOME ANALYSIS; PESTIS; TYPHIMURIUM; RECONSTRUCTION; METABOLOMICS; ANNOTATION;

D O I：

10.1007/82_2012_247

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Salmonella and Yersinia are two distantly related genera containing species with wide host-range specificity and pathogenic capacity. The metabolic complexity of these organisms facilitates robust lifestyles both outside of and within animal hosts. Using a pathogen-centric systems biology approach, we are combining a multi-omics (transcriptomics, proteomics, metabolomics) strategy to define properties of these pathogens under a variety of conditions including those that mimic the environments encountered during pathogenesis. These high-dimensional omics datasets are being integrated in selected ways to improve genome annotations, discover novel virulence-related factors, and model growth under infectious states. We will review the evolving technological approaches toward understanding complex microbial life through multi-omic measurements and integration, while highlighting some of our most recent successes in this area.

引用

页码：21 / 41

页数：21

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