Tung Chao-Ping, Chen Ing-Chien, Yu Chung-Ming, Peng Hung-Pin, Jian Jhih-Wei, Ma Shiou-Hwa, Lee Yu-Ching, Jan Jia-Tsrong, Yang An-Suei
Genomics Research Center, Academia Sinica, Taipei, Taiwan 115.
Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan 112.
Sci Rep. 2015 Oct 12;5:15053. doi: 10.1038/srep15053.
Broadly neutralizing antibodies developed from the IGHV1-69 germline gene are known to bind to the stem region of hemagglutinin in diverse influenza viruses but the sequence determinants for the antigen recognition, including neutralization potency and binding affinity, are not clearly understood. Such understanding could inform designs of synthetic antibody libraries targeting the stem epitope on hemagglutinin, leading to artificially designed antibodies that are functionally advantageous over antibodies from natural antibody repertoires. In this work, the sequence space of the complementarity determining regions of a broadly neutralizing antibody (F10) targeting the stem epitope on the hemagglutinin of a strain of H1N1 influenza virus was systematically explored; the elucidated antibody-hemagglutinin recognition principles were used to design a phage-displayed antibody library, which was then used to discover neutralizing antibodies against another strain of H1N1 virus. More than 1000 functional antibody candidates were selected from the antibody library and were shown to neutralize the corresponding strain of influenza virus with up to 7 folds higher potency comparing with the parent F10 antibody. The antibody library could be used to discover functionally effective antibodies against other H1N1 influenza viruses, supporting the notion that target-specific antibody libraries can be designed and constructed with systematic sequence-function information.
已知从IGHV1-69种系基因产生的广谱中和抗体可与多种流感病毒中血凝素的茎区结合,但抗原识别的序列决定因素,包括中和效力和结合亲和力,尚不清楚。这种理解可为靶向血凝素茎表位的合成抗体文库设计提供依据,从而产生在功能上优于天然抗体库抗体的人工设计抗体。在这项研究中,系统地探索了一种靶向H1N1流感病毒株血凝素茎表位的广谱中和抗体(F10)互补决定区的序列空间;利用阐明的抗体-血凝素识别原理设计了一个噬菌体展示抗体文库,随后用于发现针对另一株H1N1病毒的中和抗体。从抗体文库中筛选出1000多个具有功能的抗体候选物,结果表明它们中和相应流感病毒株的效力比亲本F10抗体高7倍。该抗体文库可用于发现针对其他H1N1流感病毒的功能有效抗体,支持了可以利用系统的序列-功能信息设计和构建靶向特异性抗体文库的观点。