Evidence map›Paper›PMID 30854567›Full record

ArticleNucleic acids research2019

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

Kris Barreto, Bharathikumar V Maruthachalam, Wayne Hill, Daniel Hogan, Ashley R Sutherland, Anthony Kusalik, Humphrey Fonge, John F DeCoteau, C Ronald Geyer

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Multiobjective VScience advances · 2026
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  8. Article
  9. Review
  10. Machine learning to predict continuous protein properties from binary cell sorting data and map unseen sequence space.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. VNAR development through antigen immunization of Japanese topeshark (Frontiers in bioengineering and biotechnology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kris BarretoDepartment of Pathology, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
Bharathikumar V MaruthachalamDepartment of Biochemistry, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
Wayne HillDepartment of Pathology, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
Daniel HoganDepartment of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5C9, Canada.
Ashley R SutherlandDepartment of Biochemistry, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
Anthony KusalikDepartment of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5C9, Canada.
Humphrey FongeDepartment of Medical Imaging, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
John F DeCoteauDepartment of Pathology, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
C Ronald GeyerDepartment of Pathology, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) technologies have been employed in several phage display platforms for analyzing natural and synthetic antibody sequences and for identifying and reconstructing single-chain variable fragments (scFv) and antigen-binding fragments (Fab) not found by conventional ELISA screens. In this work, we developed an NGS-assisted antibody discovery platform by integrating phage-displayed, single-framework, synthetic Fab libraries. Due to limitations in attainable read and amplicon lengths, NGS analysis of Fab libraries and selection outputs is usually restricted to either VH or VL. Since this information alone is not sufficient for high-throughput reconstruction of Fabs, we developed a rapid and simple method for linking and sequencing all diversified CDRs in phage Fab pools. Our method resulted in a reliable and straightforward platform for converting NGS information into Fab clones. We used our NGS-assisted Fab reconstruction method to recover low-frequency rare clones from phage selection outputs. While previous studies chose rare clones for rescue based on their relative frequencies in sequencing outputs, we chose rare clones for reconstruction from less-frequent CDRH3 lengths. In some cases, reconstructed rare clones (frequency ∼0.1%) showed higher affinity and better specificity than high-frequency top clones identified by Sanger sequencing, highlighting the significance of NGS-based approaches in synthetic antibody discovery.

Indexed as

Cell Surface Display TechniquesHigh-Throughput Nucleotide SequencingAntibody AffinityBacteriophagesComplementarity Determining RegionsEnzyme-Linked Immunosorbent AssayHumansPeptide LibrarySingle-Chain AntibodiesComplementarity Determining RegionsPeptide LibrarySingle-Chain Antibodies

Identifiers

PMID30854567
PMCPMC6511873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.