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Related Concept Videos

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries12:55

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Application of the Intelligent High-Throughput Antimicrobial Sensitivity Testing/Phage Screening System and Lar Index of Antimicrobial Resistance09:59

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Here we introduce the principle, structure, and instruction of the intelligent high-throughput antimicrobial sensitivity testing/phage screening system. Its application is illustrated by using Salmonella isolated from poultry in Shandong, China, as an example. The Lar index is calculated, and its significance in evaluating antimicrobial resistance is discussed...
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Related Experiment Video

Updated: Jan 19, 2026

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
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Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

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High-Throughput Platform for B-Cell Screening Based on Fluorescent Phage-Display Technology.

Ya A Lomakin1,2, A N Kaminskaya3, A V Stepanov3,4

  • 1M. M. Shemyakin and Yu. A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia. yasha.l@bk.ru.

Bulletin of Experimental Biology and Medicine
|September 8, 2019
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel system using bacteriophages to detect malignant B-cells, such as in follicular lymphoma. This noninvasive diagnostic test shows higher binding efficiency than existing methods for B-cell lymphoma mapping.

Keywords:
B-cell receptorM13K07 bacteriophageflow cytofluorometryfollicular lymphomaphage display

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Area of Science:

  • Biotechnology
  • Oncology
  • Immunology

Background:

  • Malignant transformation of B-cells, including follicular lymphoma, necessitates accurate detection methods.
  • Current diagnostic tools for B-cell lymphomas have limitations in sensitivity and specificity.
  • Targeting pathogenic B-cell receptors is a key strategy for lymphoma diagnosis.

Purpose of the Study:

  • To develop and validate a novel system for detecting malignantly transformed B-cells.
  • To utilize bacteriophages displaying ligands for pathogenic B-cell receptors for enhanced detection.
  • To propose a noninvasive diagnostic approach for B-cell lymphoma and B-cell receptor analysis.

Main Methods:

  • Development of a detection system employing bacteriophages with exposed ligands specific to pathogenic B-cell receptors.
  • Experimental validation of the system's efficacy in detecting malignant B-cells, including follicular lymphoma.
  • Comparative analysis of binding efficiency against systems using chemically synthesized biotinylated peptides.

Main Results:

  • The developed bacteriophage-based system demonstrated significantly higher binding efficiency to target cells compared to conventional methods.
  • Successful experimental validation of the system for detecting malignantly transformed B-cells.
  • The system proved effective in identifying B-cell lymphoma cells.

Conclusions:

  • The novel bacteriophage-based system offers a highly efficient method for detecting malignantly transformed B-cells.
  • This noninvasive approach is suitable for B-cell lymphoma mapping and determining B-cell receptor specificity.
  • The system holds potential for high-throughput combinatorial selection of B-cell repertories.