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Accurate profiling of full-length Fv in highly homologous antibody libraries using UMI tagged short reads.
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- Additional Information
- Source:
Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN: 1362-4962 (Electronic) Linking ISSN: 03051048 NLM ISO Abbreviation: Nucleic Acids Res Subsets: MEDLINE
- Publication Information:
Publication: 1992- : Oxford : Oxford University Press
Original Publication: London, Information Retrieval ltd.
- Subject Terms:
- Abstract:
Deep parallel sequencing (NGS) is a viable tool for monitoring scFv and Fab library dynamics in many antibody engineering high-throughput screening efforts. Although very useful, the commonly used Illumina NGS platform cannot handle the entire sequence of scFv or Fab in a single read, usually focusing on specific CDRs or resorting to sequencing VH and VL variable domains separately, thus limiting its utility in comprehensive monitoring of selection dynamics. Here we present a simple and robust method for deep sequencing repertoires of full length scFv, Fab and Fv antibody sequences. This process utilizes standard molecular procedures and unique molecular identifiers (UMI) to pair separately sequenced VH and VL. We show that UMI assisted VH-VL matching allows for a comprehensive and highly accurate mapping of full length Fv clonal dynamics in large highly homologous antibody libraries, as well as identification of rare variants. In addition to its utility in synthetic antibody discovery processes, our method can be instrumental in generating large datasets for machine learning (ML) applications, which in the field of antibody engineering has been hampered by conspicuous paucity of large scale full length Fv data.
(© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Comments:
Erratum in: Nucleic Acids Res. 2023 May 17;:. (PMID: 37194706)
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- Accession Number:
0 (Immunoglobulin Heavy Chains)
0 (Single-Chain Antibodies)
- Publication Date:
Date Created: 20230404 Date Completed: 20230628 Latest Revision: 20231116
- Publication Date:
20231215
- Accession Number:
PMC10287906
- Accession Number:
10.1093/nar/gkad235
- Accession Number:
37014016
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