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Insights into next generation sequencing guided antibody selection strategies

Scientific REPORTS. 2025-10; 
M. Frank Erasmus; Fortunato Ferrara; Sara D Angelo; Laura Spector; Camila Leal-Lopes; Andr A. Teixeira; Jesper S rensen; Suhani Nagpal; Kathryn Perea-Schmittle; Alok Choudhary; William Honnen; David Calianese; Luis Antonio Rodriguez Carnero; Simon Cocklin; Victor Greiff; Abraham Pinter; Andrew R. M. Bradbury
Products/Services Used Details Operation
Catalog Antibodies and one for the light chain, expressed and purified as described in Leal et al. (manuscript under revision). For remaining antibodies, we outsourced at Genscript who supplied antibodies at 100 g/mL concentration. LSA kinetics The kinetics were carried out using an HC200M sensor chip (Carterra #4297), which was Get A Quote

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 c... More

Keywords

Bioinformatics, Next-generation sequencing, Antibody therapy, High-throughput screening, Functional clustering, Antibody therapy, Next-generation sequencing, Machine learning, Software