Literature DB >> 26979754

Identification of antigen-specific human monoclonal antibodies using high-throughput sequencing of the antibody repertoire.

Ju Liu1, Ruihua Li1, Kun Liu1, Liangliang Li1, Xiaodong Zai1, Xiangyang Chi1, Ling Fu1, Junjie Xu2, Wei Chen3.   

Abstract

High-throughput sequencing of the antibody repertoire provides a large number of antibody variable region sequences that can be used to generate human monoclonal antibodies. However, current screening methods for identifying antigen-specific antibodies are inefficient. In the present study, we developed an antibody clone screening strategy based on clone dynamics and relative frequency, and used it to identify antigen-specific human monoclonal antibodies. Enzyme-linked immunosorbent assay showed that at least 52% of putative positive immunoglobulin heavy chains composed antigen-specific antibodies. Combining information on dynamics and relative frequency improved identification of positive clones and elimination of negative clones. and increase the credibility of putative positive clones. Therefore the screening strategy could simplify the subsequent experimental screening and may facilitate the generation of antigen-specific antibodies.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Antibody repertoire; Antigen-specific human monoclonal antibodies; High-throughput sequencing; Screening strategy

Mesh:

Substances:

Year:  2016        PMID: 26979754     DOI: 10.1016/j.bbrc.2016.03.038

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  2 in total

1.  Reconstructing Antibody Repertoires from Error-Prone Immunosequencing Reads.

Authors:  Alexander Shlemov; Sergey Bankevich; Andrey Bzikadze; Maria A Turchaninova; Yana Safonova; Pavel A Pevzner
Journal:  J Immunol       Date:  2017-10-04       Impact factor: 5.422

2.  Next-generation sequencing enables the discovery of more diverse positive clones from a phage-displayed antibody library.

Authors:  Wonjun Yang; Aerin Yoon; Sanghoon Lee; Soohyun Kim; Jungwon Han; Junho Chung
Journal:  Exp Mol Med       Date:  2017-03-24       Impact factor: 8.718

  2 in total

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