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Network analysis for identifying potential anti-virulence targets through whole transcriptome analysis of <i>Pseudomonas aeruginosa</i> and <i>Staphylococcus aureus</i> exposed to certain anti-pathogenic polyherbal formulations

2023-04-27

Abstract excerpt

Transcriptome of two important pathogens, Pseudomonas aeruginosa and Staphylococcus aureus exposed to two different quorum-modulatory polyherbal formulations were subjected to network analysis to identify the most highly networked differentially expressed genes (hubs) as potential anti-virulence targets. Genes associated with denitrification and sulfur metabolism emerged as the most important targets in P. aeru...

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Literature Corpus work
87be5066-eec7-5a42-b969-4f81e70be0a4
DOI
10.1101/2023.04.27.538520
Open publication

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Network analysis for identifying potential anti-virulence targets through whole transcriptome analysis of <i>Pseudomonas aeruginosa</i> and <i>Staphylococcus aureus</i> exposed to certain anti-pathogenic polyherbal formulationsDOI 10.1101/2023.04.27.538520
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