Literature DB >> 30477332

Oxford nanopore sequencing enables rapid discovery of single-domain antibodies from phage display libraries.

Michael J Lowden1, Kevin A Henry1.   

Abstract

Antibody (Ab) repertoire sequencing using high-throughput massively parallel technologies has contributed substantially to the understanding of Ab responses following infection, vaccination and autoimmunity. Because individual B-cell receptors are recombined and diversified somatically, genomic comparisons are limited, and distinguishing rare variants from sequencing errors is a major challenge. Oxford Nanopore Technologies' MinION is a highly portable and cost-effective third-generation sequencing instrument, but has not been used for Ab repertoire sequencing due to its high error rate (approximately 1/10 bases). Here, we applied nanopore sequencing to single-domain Ab (sdAb) repertoires and phage-displayed sdAb libraries. We show that despite low overall data fidelity, sdAb sequences could be reconstructed above a frequency threshold (∼100 copies); however, distinguishing clonal sdAb variants was not always possible. The data quality was sufficient to enable rapid identification of antigen-specific sdAb sequences enriched during panning of phage display libraries, obviating the need for screening single clones.

Entities:  

Keywords:  VHH; antibody; nanopore sequencing; next-generation DNA sequencing; phage display; single-domain antibody

Mesh:

Substances:

Year:  2018        PMID: 30477332     DOI: 10.2144/btn-2018-0123

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  3 in total

1.  NAb-seq: an accurate, rapid, and cost-effective method for antibody long-read sequencing in hybridoma cell lines and single B cells.

Authors:  Hema Preethi Subas Satish; Kathleen Zeglinski; Rachel T Uren; Stephen L Nutt; Matthew E Ritchie; Quentin Gouil; Ruth M Kluck
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 6.440

2.  High-Throughput Sequencing of Phage Display Libraries Reveals Parasitic Enrichment of Indel Mutants Caused by Amplification Bias.

Authors:  Sander Plessers; Vincent Van Deuren; Rob Lavigne; Johan Robben
Journal:  Int J Mol Sci       Date:  2021-05-24       Impact factor: 5.923

3.  Machine Learning-Guided Prediction of Antigen-Reactive In Silico Clonotypes Based on Changes in Clonal Abundance through Bio-Panning.

Authors:  Duck Kyun Yoo; Seung Ryul Lee; Yushin Jung; Haejun Han; Hwa Kyoung Lee; Jerome Han; Soohyun Kim; Jisu Chae; Taehoon Ryu; Junho Chung
Journal:  Biomolecules       Date:  2020-03-08
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.