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Effects of subminimum inhibitory concentrations of antibiotics on the Pasteurella multocida proteome: a systems approach.

Nanduri B, Lawrence ML, Peddinti DS, Burgess SC - Comp. Funct. Genomics (2008)

Bottom Line: We then overlaid the differential protein expression data onto the P. multocida protein interaction network to study the bacterial response.We identified proteins that could enhance antimicrobial activity.Overall compensatory response to antibiotics was characterized by altered expression of proteins involved in purine metabolism, stress response, and cell envelope permeability.

View Article: PubMed Central - PubMed

Affiliation: College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA.

ABSTRACT
To identify key regulators of subminimum inhibitory concentration (sub-MIC) antibiotic response in the Pasteurella multocida proteome, we applied systems approaches. Using 2D-LC-ESI-MS(2), we achieved 53% proteome coverage. To study the differential protein expression in response to sub-MIC antibiotics in the context of protein interaction networks, we inferred P. multocida Pm70 protein interaction network from orthologous proteins. We then overlaid the differential protein expression data onto the P. multocida protein interaction network to study the bacterial response. We identified proteins that could enhance antimicrobial activity. Overall compensatory response to antibiotics was characterized by altered expression of proteins involved in purine metabolism, stress response, and cell envelope permeability.

No MeSH data available.


Related in: MedlinePlus

P. multocida RecA protein interaction network. P. multocida sub-MIC ENR response was marked by significant change in RecA expression. We built interaction networkiteratively with RecA as primer and identified RecA, GroEL, and GroES subnetwork.Red nodes are proteins with increased expression and green nodes are proteinswith decreased expression in response to ENR. Proteins with no significantchanges in expression are shown in pink, and gray nodes are proteins from P. multocida interaction network thatwere not identified in our dataset.
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fig3: P. multocida RecA protein interaction network. P. multocida sub-MIC ENR response was marked by significant change in RecA expression. We built interaction networkiteratively with RecA as primer and identified RecA, GroEL, and GroES subnetwork.Red nodes are proteins with increased expression and green nodes are proteinswith decreased expression in response to ENR. Proteins with no significantchanges in expression are shown in pink, and gray nodes are proteins from P. multocida interaction network thatwere not identified in our dataset.

Mentions: To identify common themes in the response to sub-MICsof antibiotics, we superimposed significant changes in protein expression foreach antibiotic onto the Pm70 protein interaction network (supplementary Figure ). For more detailed analysis of selectedproteins, we used the Pm70 protein interaction network to iteratively build andvisualize networks around the proteins of interest. The network built aroundRecA in response to ENR is shown in Figure 3 as an example of the type ofanalysis that was used to identify the trends described in the followingparagraphs.


Effects of subminimum inhibitory concentrations of antibiotics on the Pasteurella multocida proteome: a systems approach.

Nanduri B, Lawrence ML, Peddinti DS, Burgess SC - Comp. Funct. Genomics (2008)

P. multocida RecA protein interaction network. P. multocida sub-MIC ENR response was marked by significant change in RecA expression. We built interaction networkiteratively with RecA as primer and identified RecA, GroEL, and GroES subnetwork.Red nodes are proteins with increased expression and green nodes are proteinswith decreased expression in response to ENR. Proteins with no significantchanges in expression are shown in pink, and gray nodes are proteins from P. multocida interaction network thatwere not identified in our dataset.
© Copyright Policy - open-access
Related In: Results  -  Collection

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getmorefigures.php?uid=PMC2367384&req=5

fig3: P. multocida RecA protein interaction network. P. multocida sub-MIC ENR response was marked by significant change in RecA expression. We built interaction networkiteratively with RecA as primer and identified RecA, GroEL, and GroES subnetwork.Red nodes are proteins with increased expression and green nodes are proteinswith decreased expression in response to ENR. Proteins with no significantchanges in expression are shown in pink, and gray nodes are proteins from P. multocida interaction network thatwere not identified in our dataset.
Mentions: To identify common themes in the response to sub-MICsof antibiotics, we superimposed significant changes in protein expression foreach antibiotic onto the Pm70 protein interaction network (supplementary Figure ). For more detailed analysis of selectedproteins, we used the Pm70 protein interaction network to iteratively build andvisualize networks around the proteins of interest. The network built aroundRecA in response to ENR is shown in Figure 3 as an example of the type ofanalysis that was used to identify the trends described in the followingparagraphs.

Bottom Line: We then overlaid the differential protein expression data onto the P. multocida protein interaction network to study the bacterial response.We identified proteins that could enhance antimicrobial activity.Overall compensatory response to antibiotics was characterized by altered expression of proteins involved in purine metabolism, stress response, and cell envelope permeability.

View Article: PubMed Central - PubMed

Affiliation: College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA.

ABSTRACT
To identify key regulators of subminimum inhibitory concentration (sub-MIC) antibiotic response in the Pasteurella multocida proteome, we applied systems approaches. Using 2D-LC-ESI-MS(2), we achieved 53% proteome coverage. To study the differential protein expression in response to sub-MIC antibiotics in the context of protein interaction networks, we inferred P. multocida Pm70 protein interaction network from orthologous proteins. We then overlaid the differential protein expression data onto the P. multocida protein interaction network to study the bacterial response. We identified proteins that could enhance antimicrobial activity. Overall compensatory response to antibiotics was characterized by altered expression of proteins involved in purine metabolism, stress response, and cell envelope permeability.

No MeSH data available.


Related in: MedlinePlus