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Updated: May 20, 2026

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
Published on: January 17, 2015
[Affinity optimization of an anti-hIL17A single-chain Fv antibody through error-prone PCR technique]
Hui Tian1, Fu-liang Bai, Li-ming Xu
1Department of Biopharmaceutics, College of Life Science, Northeast Agricultural University, Harbin 150030, China. woxiangxintianhui@yahoo.cn
Aim:
To optimize antibody affinity of a humanized anti-hIL17A single-chain Fv (scFV) antibody through error-prone polymerase chain reaction (PCR) so as to develop a therapeutic humanized antibody for the treatment of rheumatoid arthritis (RA).
Methods:
Variable regions of heavy chain and light chain were subjected to random mutation by error-prone PCR and a scFv library was constructed by overlapping PCR. The library was screened for improved mutants by the bacterial inner membrane display technique and flow cytometry (FCM). Real-time PCR was used to detect neutralization effects of the purified scFv antibody mutants on mRNA expressions of IL-6 and IL-8 in HeLa cells stimulated by hIL17A.
Results:
We obtained five mutants with improved affinity. FCM revealed that the affinity of three clones was greatly enhanced as compared with the parent clone. All mutants retained binding specificity to hIL17A. Real-time PCR results showed that all five mutants could block hIL17A stimulation of HeLa cells to express IL-6 and IL-8, and the neutralization effects were positively related to mutant affinity.
Conclusion:
Error-prone PCR technique is a feasible method for antibody affinity optimization in vitro, which is able to improve the affinity and neutralization capacity of antibody on the basis of its unchanged antigen binding specificity. This study provides potential drug candidates aimed for the treatment of rheumatoid arthritis and an alternative method of optimizing antibody affinity in vitro.
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