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Affinity maturation of an antibody for the UV-induced DNA lesions 6,4 pyrimidine-pyrimidones

Overview of attention for article published in Applied Microbiology and Biotechnology, May 2018
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Title
Affinity maturation of an antibody for the UV-induced DNA lesions 6,4 pyrimidine-pyrimidones
Published in
Applied Microbiology and Biotechnology, May 2018
DOI 10.1007/s00253-018-8998-1
Pubmed ID
Authors

Bingjie Kong, Yang Cao, Danni Wu, Lili An, Fanlei Ran, Yan Lin, Chen Ye, Hailin Wang, Haiying Hang

Abstract

DNA lesions, associated mostly with minor changes in DNA structure, may induce permanent change in heritable coding information. Biochemically, these minor structural changes are difficult to be explored for generating high-affinity antibodies to detect specific DNA lesions in varying sequence contexts. Herein, we established a platform of bacterial display to facilitate antibodies to be matured with high affinity and high specificity against DNA lesions. To achieve this goal, we, for the first time, developed a two-round mutation/screening strategy: (1) using multiple lesion-containing DNA probes for primary maturation and (2) using single lesion-containing DNA probes for second maturation. Specifically, we capitalized on 64M-2 as a parental template to improve affinity for 6-4PP by 710-fold, compared with the model one. In addition, the matured antibody (9c3) is found to be much less dependent on the bases surrounding 6-4PPs than the model one. The mechanistic study from both computational simulation and reverse mutations revealed the critical roles of the two-round mutations in the enhanced binding affinity and independence of surrounding bases. This selection strategy opens a new way to improve affinity and specificity of antibodies for other DNA lesions.

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Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 60%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Agricultural and Biological Sciences 1 20%
Medicine and Dentistry 1 20%
Unknown 2 40%