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The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
Published on: November 2, 2021
A semi-quantitative GeLC-MS analysis of temporal proteome expression in the emerging nosocomial pathogen Ochrobactrum
Robert Leslie James Graham1, Mohit K Sharma, Nigel G Ternan
1School of Biomedical Sciences, University of Ulster, Coleraine, County Londonderry BT52 1SA, UK. rl.graham@ulster.ac.uk
Background:
The alpha-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.
Insights
Ochrobactrum anthropi, an emerging pathogen, was studied using proteomics to understand its growth. This research reveals distinct protein expression changes and metabolic pathways during different growth phases, offering insights into its physiology.
Area of Science:
- Microbiology
- Proteomics
- Bacterial Pathogenesis
Background:
- Alpha-Proteobacteria, including Ochrobactrum anthropi, interact with eukaryotic cells.
- O. anthropi is an increasing cause of hospital-acquired infections, with limited knowledge of its physiology.
- Proteomics was employed to study temporal changes in O. anthropi protein expression during growth.
Purpose of the Study:
- To investigate the temporal changes in protein expression of O. anthropi.
- To understand the physiology and metabolism of this emerging human pathogen.
- To identify key metabolic pathways and adaptive processes during different growth phases.
Main Methods:
- Gel-based liquid chromatography-mass spectrometry (GeLC-MS) for temporal proteomic analysis.
- Estimation of protein abundance using the emPAI protocol for semi-quantitative analysis.
- Functional classification and physicochemical characterization of identified proteins.
Main Results:
- 131 proteins were identified in O. anthropi, with 19 showing significant expression changes over time.
- Central metabolic pathways including glycolysis, TCA cycle, and amino acid metabolism were reconstructed.
- Gene products regulated by oxyR, involved in oxidative stress response, were identified in late-phase growth.
Conclusions:
- Distinct proteomic profiles correlate with specific growth stages in O. anthropi.
- Semi-quantitative proteomic analysis provided insights into metabolic pathway reconstruction.
- The study deepens the understanding of O. anthropi's physiology, metabolism, and adaptive strategies as a pathogen.
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