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Updated: Feb 1, 2026

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
Published on: January 17, 2015
Métodos de alto rendimiento que aprovechan la robótica y la visión por computadora para el desarrollo de cócteles de
Taylor J R Penke1, Aeron Tynes Hammack2,3, Lana J McMillan4
1Research and Development, Locus Biosciences, 523 Davis Drive, Morrisville, North Carolina, US. taylor.penke@locus-bio.com.
Desarrollamos métodos de cribado automatizados para crear terapias con fagos para infecciones del tracto urinario. Esta plataforma permite el desarrollo escalable de cócteles de fagos eficaces para combatir la resistencia a los antibióticos.
Área de la Ciencia:
- Microbiology
- Biotechnology
- Infectious Diseases
Sus antecedentes:
- Bacteriophage therapy is a promising alternative to antibiotics for bacterial infections.
- Urinary tract infections (UTIs) are a growing concern due to rising antibiotic resistance.
- Developing scalable and reproducible methods for bacteriophage cocktail development is crucial.
Objetivo del estudio:
- To present high-throughput automated screening techniques for bacteriophage therapeutic product development.
- To establish a platform for reproducible screening of large phage collections against bacterial pathogens.
- To facilitate the identification and optimization of phage cocktails for combating antibiotic resistance.
Principales métodos:
- Integration of liquid handling robotics, standardized phenotypic assays, and computer vision-based enumeration.
- Systematic assessment of phage-bacteria interactions at scale using clinically derived bacterial strains.
- Development of a platform for reproducible and scalable bacteriophage cocktail development.
Principales resultados:
- Established a platform capable of reproducibly screening large phage collections.
- Enabled systematic assessment of phage-bacteria interactions at scale.
- Facilitated the identification and optimization of phage cocktails with broad in vitro activity.
Conclusiones:
- The presented methods address the need for scalable and reproducible bacteriophage cocktail development.
- This platform supports the creation of novel therapeutic assets to combat antibiotic resistance.
- Automated screening techniques are vital for advancing bacteriophage-based therapies in clinical trials.
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