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Related Concept Videos

Hybridoma Technology01:31

Hybridoma Technology

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Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...
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Generation of Escape Variants of Neutralizing Influenza Virus Monoclonal Antibodies
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Clonal Variant Analysis of Antibody Engineering Libraries.

Ahmed S Fahad1,2, Matías F Gutiérrez-Gonzalez1,2, Bharat Madan1

  • 1The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts 02139, USA.

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|November 25, 2024
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Summary
This summary is machine-generated.

This study introduces a bioinformatic protocol to track synthetic antibody variants during in vitro antibody evolution. This method allows for precise analysis of individual mutation functions in antibody display libraries for improved antibody engineering.

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Area of Science:

  • Biotechnology
  • Immunology
  • Bioinformatics

Background:

  • In vitro antibody evolution enhances monoclonal antibodies by creating diverse variants.
  • Antibody display screens these variants for improved function.
  • Tracking these variants across screening rounds is crucial for optimization.

Purpose of the Study:

  • To describe a bioinformatic protocol for tracking synthetic antibody variants.
  • To enable high-throughput interpretation of individual mutation functions.
  • To facilitate antibody engineering and optimization against target antigens.

Main Methods:

  • Development of a bioinformatic protocol.
  • Utilizing high-throughput sequencing to track variants.
  • Analyzing clonal antibody variant data across screening rounds.

Main Results:

  • Efficient high-throughput interpretation of antibody variant function.
  • Precision analysis of individual mutation effects.
  • Enabling discovery of improved antibody functionalities.

Conclusions:

  • The protocol provides a powerful tool for antibody engineering and optimization.
  • It allows for detailed understanding of mutation impacts in antibody libraries.
  • Facilitates the discovery of superior monoclonal antibodies through systematic analysis.