Antibacterial and antibiofilm properties of Acroptilon repens (L.) Dc extract and its effect on exotoxin A gene expression of Pseudomonas aeruginosa

Gene Reports ◽  
2021 ◽  
Vol 25 ◽  
pp. 101357
Author(s):  
Zahra Akhgari ◽  
Razieh Nazari ◽  
Mohsen Zargar ◽  
Asghar Tanomand
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zahra Shadman ◽  
Safar Farajnia ◽  
Mohammad Pazhang ◽  
Mohammadreza Tohidkia ◽  
Leila Rahbarnia ◽  
...  

Abstract Background Pseudomonas aeruginosa is the leading cause of nosocomial infections, especially in people with a compromised immune system. Targeting virulence factors by neutralizing antibodies is a novel paradigm for the treatment of antibiotic-resistant pseudomonas infections. In this respect, exotoxin A is one of the most potent virulence factors in P. aeruginosa. The present study was carried out to identify a novel human scFv antibody against the P. aeruginosa exotoxin A domain I (ExoA-DI) from a human scFv phage library. Methods The recombinant ExoA-DI of P. aeruginosa was expressed in E. coli, purified by Ni-NTA column, and used for screening of human antibody phage library. A novel screening procedure was conducted to prevent the elimination of rare specific clones. The phage clone with high reactivity was evaluated by ELISA and western blot. Results Based on the results of polyclonal phage ELISA, the fifth round of biopanning leads to the isolation of several ExoA-DI reactive clones. One positive clone with high affinity was selected by monoclonal phage ELISA and used for antibody expression. The purified scFv showed high reactivity with the recombinant domain I and full-length native exotoxin A. Conclusions The purified anti-exotoxin A scFv displayed high specificity against exotoxin A. The human scFv identified in this study could be the groundwork for developing a novel therapeutic agent to control P. aeruginosa infections.


2015 ◽  
Vol 11 (11) ◽  
pp. 3137-3148
Author(s):  
Nazanin Hosseinkhan ◽  
Peyman Zarrineh ◽  
Hassan Rokni-Zadeh ◽  
Mohammad Reza Ashouri ◽  
Ali Masoudi-Nejad

Gene co-expression analysis is one of the main aspects of systems biology that uses high-throughput gene expression data.


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