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  1. Article ; Online: Author Correction: Insights into next generation sequencing guided antibody selection strategies.

    Erasmus, M Frank / Ferrara, Fortunato / D'Angelo, Sara / Spector, Laura / Leal-Lopes, Camila / Teixeira, André A / Sørensen, Jesper / Nagpal, Suhani / Perea-Schmittle, Kathryn / Choudhary, Alok / Honnen, William / Calianese, David / Antonio Rodriguez Carnero, Luis / Cocklin, Simon / Greiff, Victor / Pinter, Abraham / Bradbury, Andrew R M

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 3090

    Language English
    Publishing date 2024-02-07
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-53751-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Insights into next generation sequencing guided antibody selection strategies.

    Erasmus, M Frank / Ferrara, Fortunato / D'Angelo, Sara / Spector, Laura / Leal-Lopes, Camila / Teixeira, André A / Sørensen, Jesper / Nagpal, Suhani / Perea-Schmittle, Kathryn / Choudhary, Alok / Honnen, William / Calianese, David / Antonio Rodriguez Carnero, Luis / Cocklin, Simon / Greiff, Victor / Pinter, Abraham / Bradbury, Andrew R M

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 18370

    Abstract: Therapeutic antibody discovery often relies on in-vitro display methods to identify lead candidates. Assessing selected output diversity traditionally involves random colony picking and Sanger sequencing, which has limitations. Next-generation sequencing ...

    Abstract Therapeutic antibody discovery often relies on in-vitro display methods to identify lead candidates. Assessing selected output diversity traditionally involves random colony picking and Sanger sequencing, which has limitations. Next-generation sequencing (NGS) offers a cost-effective solution with increased read depth, allowing a comprehensive understanding of diversity. Our study establishes NGS guidelines for antibody drug discovery, demonstrating its advantages in expanding the number of unique HCDR3 clusters, broadening the number of high affinity antibodies, expanding the total number of antibodies recognizing different epitopes, and improving lead prioritization. Surprisingly, our investigation into the correlation between NGS-derived frequencies of CDRs and affinity revealed a lack of association, although this limitation could be moderately mitigated by leveraging NGS clustering, enrichment and/or relative abundance across different regions to enhance lead prioritization. This study highlights NGS benefits, offering insights, recommendations, and the most effective approach to leverage NGS in therapeutic antibody discovery.
    MeSH term(s) High-Throughput Nucleotide Sequencing/methods ; Antibodies/genetics ; Epitopes
    Chemical Substances Antibodies ; Epitopes
    Language English
    Publishing date 2023-10-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-45538-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article ; Online: Author Correction: Insights into next generation sequencing guided antibody selection strategies.

    Erasmus, M Frank / Ferrara, Fortunato / D'Angelo, Sara / Spector, Laura / Leal-Lopes, Camila / Teixeira, André A / Sørensen, Jesper / Nagpal, Suhani / Perea-Schmittle, Kathryn / Choudhary, Alok / Honnen, William / Calianese, David / Antonio Rodriguez Carnero, Luis / Cocklin, Simon / Greiff, Victor / Pinter, Abraham / Bradbury, Andrew R M

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 22616

    Language English
    Publishing date 2023-12-18
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-49214-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

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