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Solid phase synthesis of bifunctional antibodies

B S DeSilva1, G S Wilson

  • 1Department of Chemistry, University of Kansas, Lawrence 66045, USA.

Journal of Immunological Methods
|December 15, 1995
PubMed
Summary

Researchers developed a streamlined method for creating bifunctional antibodies using solid-phase synthesis. This technique efficiently links antibody fragments, enabling automated production and faster optimization for diverse applications.

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Area of Science:

  • Immunotechnology
  • Bioconjugation Chemistry
  • Protein Engineering

Background:

  • Bifunctional antibodies offer enhanced specificity and binding capabilities.
  • Traditional methods for antibody fragment preparation and conjugation are often time-consuming and complex.
  • Solid-phase synthesis presents a potential avenue for more efficient antibody engineering.

Purpose of the Study:

  • To develop an efficient and automatable method for preparing bifunctional antibodies.
  • To chemically link antibody fragments (Fab') using a solid-phase approach.
  • To optimize reaction conditions for rapid bifunctional antibody generation.

Main Methods:

  • Utilized solid-phase synthesis principles for antibody fragment preparation.
  • Employed immobilized pepsin columns for F(ab')2 fragment generation from intact IgG.

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  • Used 2-mercaptoethylamine to reduce inter-heavy chain disulfide bonds for Fab' fragment production.
  • Applied a bismaleimide crosslinking reagent to chemically link the two Fab' fragments.

    • Main Results:

    • Achieved complete digestion of goat, mouse, and human antibodies within 4 hours.
    • Produced F(ab')2 fragments free from IgG impurities.
    • The solid-phase reactor eliminated lengthy separation steps between fragmentation and conjugation.
    • Demonstrated facilitation of automation and rapid optimization of bifunctional antibody preparation.

    Conclusions:

    • Solid-phase synthesis provides an efficient platform for bifunctional antibody preparation.
    • The described method significantly reduces processing time and complexity.
    • This approach supports automated production and rapid optimization of bifunctional antibody generation.