Literature DB >> 27450754

Next generation sequencing of all variable loops of synthetic single framework scFv-Application in anti-HDL antibody selections.

Janita Lövgren1, Juha-Pekka Pursiheimo2, Mikko Pyykkö3, Jussi Salmi2, Urpo Lamminmäki3.   

Abstract

Next generation sequencing (NGS) can be applied to monitoring antibody phage display library selection processes to follow the enrichment of each individual antibody clone. Utilising the recent development of the Illumina sequencing platform enabling sequencing up to 2×300bp, we have developed a method to deep sequence all complementarity determining regions (CDRs) in the clones obtained from a synthetic single framework antibody library. This was complemented by an in-house bioinformatics pipeline for efficient analysis of the sequencing results. The method was utilised to study antibody selections against high density lipoprotein (HDL) particles. Sequencing of the output from each selection round enabled extraction of useful information on both the total copy numbers as well as the relative enrichment rates of the clones. Ten antibody clones showing different ranking in terms of frequency were reproduced from synthetic DNA constructs and their capacity to bind HDL was verified by an immunoassay. The method thus facilitates the isolation of clones of interest, and in particular can assist retrieval of less efficiently enriched, yet interesting clones, which are unlikely to be identified by conventional, random colony picking based, screening.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antibody library; Deep sequencing; High density lipoprotein; Next generation sequencing; Phage display; scFv

Mesh:

Substances:

Year:  2016        PMID: 27450754     DOI: 10.1016/j.nbt.2016.07.009

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  5 in total

1.  Motifier: An IgOme Profiler Based on Peptide Motifs Using Machine Learning.

Authors:  Haim Ashkenazy; Oren Avram; Arie Ryvkin; Anna Roitburd-Berman; Yael Weiss-Ottolenghi; Smadar Hada-Neeman; Jonathan M Gershoni; Tal Pupko
Journal:  J Mol Biol       Date:  2021-05-28       Impact factor: 6.151

2.  Many Routes to an Antibody Heavy-Chain CDR3: Necessary, Yet Insufficient, for Specific Binding.

Authors:  Sara D'Angelo; Fortunato Ferrara; Leslie Naranjo; M Frank Erasmus; Peter Hraber; Andrew R M Bradbury
Journal:  Front Immunol       Date:  2018-03-08       Impact factor: 7.561

3.  Next-generation sequencing-guided identification and reconstruction of antibody CDR combinations from phage selection outputs.

Authors:  Kris Barreto; Bharathikumar V Maruthachalam; Wayne Hill; Daniel Hogan; Ashley R Sutherland; Anthony Kusalik; Humphrey Fonge; John F DeCoteau; C Ronald Geyer
Journal:  Nucleic Acids Res       Date:  2019-05-21       Impact factor: 16.971

4.  Combining phage display with SMRTbell next-generation sequencing for the rapid discovery of functional scFv fragments.

Authors:  Francesco Nannini; Lenart Senicar; Farhaan Parekh; Khai J Kong; Alexander Kinna; Reyisa Bughda; James Sillibourne; Xihao Hu; Biao Ma; Yuchen Bai; Mathieu Ferrari; Martin A Pule; Shimobi C Onuoha
Journal:  MAbs       Date:  2021 Jan-Dec       Impact factor: 5.857

5.  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
  5 in total

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