A semi-quantitative GeLC-MS analysis of temporal proteome expression in the emerging nosocomial pathogen Ochrobactrum anthropi

Robert Leslie James Graham, Mohit K. Sharma, Nigel Ternan, D. Brent Weatherly, Rick L. Tarleton, Geoffrey McMullan

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Background: The a-Proteobacteria are capable of interaction with eukaryotic cells, with some members, such as Ochrobactrum anthropi, capable of acting as human pathogens. O. anthropi has been the cause of a growing number of hospital-acquired infections; however, little is known about its growth, physiology and metabolism. We used proteomics to investigate how protein expression of this organism changes with time during growth. Results: This first gel-based liquid chromatography-mass spectrometry (GeLC-MS) temporal proteomic analysis of O. anthropi led to the positive identification of 131 proteins. These were functionally classified and physiochemically characterized. Utilizing the emPAI protocol to estimate protein abundance, we assigned molar concentrations to all proteins, and thus were able to identify 19 with significant changes in their expression. Pathway reconstruction led to the identification of a variety of central metabolic pathways, including nucleotide biosynthesis, fatty acid anabolism, glycolysis, TCA cycle and amino acid metabolism. In late phase growth we identified a number of gene products under the control of the oxyR regulon, which is induced in response to oxidative stress and whose protein products have been linked with pathogen survival in response to host immunity reactions. Conclusion: This study identified distinct proteomic profiles associated with specific growth points for O. anthropi, while the use of emPAI allowed semi-quantitative analyses of protein expression. It was possible to reconstruct central metabolic pathways and infer unique functional and adaptive processes associated with specific growth phases, thereby resulting in a deeper understanding of the physiology and metabolism of this emerging pathogenic bacterium.
LanguageEnglish
PagesR110
JournalGenome Biology
Volume8
Issue number6
DOIs
Publication statusPublished - 2007

Fingerprint

Ochrobactrum anthropi
Proteome
Liquid Chromatography
Mass Spectrometry
Gels
Proteomics
Growth
Metabolic Networks and Pathways
Proteins
Regulon
Proteobacteria
Eukaryotic Cells
Glycolysis
Cross Infection
Heat-Shock Proteins
Immunity
Oxidative Stress
Fatty Acids
Nucleotides
Bacteria

Cite this

Graham, Robert Leslie James ; Sharma, Mohit K. ; Ternan, Nigel ; Weatherly, D. Brent ; Tarleton, Rick L. ; McMullan, Geoffrey. / A semi-quantitative GeLC-MS analysis of temporal proteome expression in the emerging nosocomial pathogen Ochrobactrum anthropi. In: Genome Biology. 2007 ; Vol. 8, No. 6. pp. R110.
@article{73a23f61c25b44a39e4cfd2a6cb7e55f,
title = "A semi-quantitative GeLC-MS analysis of temporal proteome expression in the emerging nosocomial pathogen Ochrobactrum anthropi",
abstract = "Background: The a-Proteobacteria are capable of interaction with eukaryotic cells, with some members, such as Ochrobactrum anthropi, capable of acting as human pathogens. O. anthropi has been the cause of a growing number of hospital-acquired infections; however, little is known about its growth, physiology and metabolism. We used proteomics to investigate how protein expression of this organism changes with time during growth. Results: This first gel-based liquid chromatography-mass spectrometry (GeLC-MS) temporal proteomic analysis of O. anthropi led to the positive identification of 131 proteins. These were functionally classified and physiochemically characterized. Utilizing the emPAI protocol to estimate protein abundance, we assigned molar concentrations to all proteins, and thus were able to identify 19 with significant changes in their expression. Pathway reconstruction led to the identification of a variety of central metabolic pathways, including nucleotide biosynthesis, fatty acid anabolism, glycolysis, TCA cycle and amino acid metabolism. In late phase growth we identified a number of gene products under the control of the oxyR regulon, which is induced in response to oxidative stress and whose protein products have been linked with pathogen survival in response to host immunity reactions. Conclusion: This study identified distinct proteomic profiles associated with specific growth points for O. anthropi, while the use of emPAI allowed semi-quantitative analyses of protein expression. It was possible to reconstruct central metabolic pathways and infer unique functional and adaptive processes associated with specific growth phases, thereby resulting in a deeper understanding of the physiology and metabolism of this emerging pathogenic bacterium.",
author = "Graham, {Robert Leslie James} and Sharma, {Mohit K.} and Nigel Ternan and Weatherly, {D. Brent} and Tarleton, {Rick L.} and Geoffrey McMullan",
year = "2007",
doi = "10.1186/gb-2007-8-6-r110",
language = "English",
volume = "8",
pages = "R110",
journal = "Genome Biology",
issn = "1474-760X",
publisher = "BioMed Central",
number = "6",

}

A semi-quantitative GeLC-MS analysis of temporal proteome expression in the emerging nosocomial pathogen Ochrobactrum anthropi. / Graham, Robert Leslie James; Sharma, Mohit K.; Ternan, Nigel; Weatherly, D. Brent; Tarleton, Rick L.; McMullan, Geoffrey.

In: Genome Biology, Vol. 8, No. 6, 2007, p. R110.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A semi-quantitative GeLC-MS analysis of temporal proteome expression in the emerging nosocomial pathogen Ochrobactrum anthropi

AU - Graham, Robert Leslie James

AU - Sharma, Mohit K.

AU - Ternan, Nigel

AU - Weatherly, D. Brent

AU - Tarleton, Rick L.

AU - McMullan, Geoffrey

PY - 2007

Y1 - 2007

N2 - Background: The a-Proteobacteria are capable of interaction with eukaryotic cells, with some members, such as Ochrobactrum anthropi, capable of acting as human pathogens. O. anthropi has been the cause of a growing number of hospital-acquired infections; however, little is known about its growth, physiology and metabolism. We used proteomics to investigate how protein expression of this organism changes with time during growth. Results: This first gel-based liquid chromatography-mass spectrometry (GeLC-MS) temporal proteomic analysis of O. anthropi led to the positive identification of 131 proteins. These were functionally classified and physiochemically characterized. Utilizing the emPAI protocol to estimate protein abundance, we assigned molar concentrations to all proteins, and thus were able to identify 19 with significant changes in their expression. Pathway reconstruction led to the identification of a variety of central metabolic pathways, including nucleotide biosynthesis, fatty acid anabolism, glycolysis, TCA cycle and amino acid metabolism. In late phase growth we identified a number of gene products under the control of the oxyR regulon, which is induced in response to oxidative stress and whose protein products have been linked with pathogen survival in response to host immunity reactions. Conclusion: This study identified distinct proteomic profiles associated with specific growth points for O. anthropi, while the use of emPAI allowed semi-quantitative analyses of protein expression. It was possible to reconstruct central metabolic pathways and infer unique functional and adaptive processes associated with specific growth phases, thereby resulting in a deeper understanding of the physiology and metabolism of this emerging pathogenic bacterium.

AB - Background: The a-Proteobacteria are capable of interaction with eukaryotic cells, with some members, such as Ochrobactrum anthropi, capable of acting as human pathogens. O. anthropi has been the cause of a growing number of hospital-acquired infections; however, little is known about its growth, physiology and metabolism. We used proteomics to investigate how protein expression of this organism changes with time during growth. Results: This first gel-based liquid chromatography-mass spectrometry (GeLC-MS) temporal proteomic analysis of O. anthropi led to the positive identification of 131 proteins. These were functionally classified and physiochemically characterized. Utilizing the emPAI protocol to estimate protein abundance, we assigned molar concentrations to all proteins, and thus were able to identify 19 with significant changes in their expression. Pathway reconstruction led to the identification of a variety of central metabolic pathways, including nucleotide biosynthesis, fatty acid anabolism, glycolysis, TCA cycle and amino acid metabolism. In late phase growth we identified a number of gene products under the control of the oxyR regulon, which is induced in response to oxidative stress and whose protein products have been linked with pathogen survival in response to host immunity reactions. Conclusion: This study identified distinct proteomic profiles associated with specific growth points for O. anthropi, while the use of emPAI allowed semi-quantitative analyses of protein expression. It was possible to reconstruct central metabolic pathways and infer unique functional and adaptive processes associated with specific growth phases, thereby resulting in a deeper understanding of the physiology and metabolism of this emerging pathogenic bacterium.

U2 - 10.1186/gb-2007-8-6-r110

DO - 10.1186/gb-2007-8-6-r110

M3 - Article

VL - 8

SP - R110

JO - Genome Biology

T2 - Genome Biology

JF - Genome Biology

SN - 1474-760X

IS - 6

ER -