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Hybridoma Technology

Hybridoma Technology

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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Updated: Mar 6, 2026

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

Published on: January 17, 2015

Data-Driven Antibody Engineering Using Genedata Biologics™.

Maria Wendt¹, Guido Cappuccilli²

¹Genedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland. maria.wendt@genedata.com.

Methods in Molecular Biology (Clifton, N.J.)

|March 4, 2017

Summary

This summary is machine-generated.

Genedata Biologics offers a new informatics platform for biologics R&D, particularly for antibody engineering. This platform integrates and analyzes diverse data, supporting antibody optimization workflows for successful drug development.

Keywords:

Antibody engineering Antibody library design Bioinformatics Biologics database Data visualization Mutagenesis

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Published on: March 15, 2019

Related Experiment Videos

Last Updated: Mar 6, 2026

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

Published on: January 17, 2015

Laboratory Scale Production and Purification of a Therapeutic Antibody

Laboratory Scale Production and Purification of a Therapeutic Antibody

Published on: January 24, 2017

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

Area of Science:

Biotechnology and Bioinformatics
Drug Discovery and Development
Protein Engineering

Background:

Biologics Research and Development (R&D) requires sophisticated data management.
Antibody engineering is a critical but complex area within biologics R&D.
Integrating diverse data types (sequence, expression, assay, analytics) is challenging.

Purpose of the Study:

To present the design principles of the Genedata Biologics informatics platform.
To demonstrate the platform's application in antibody engineering workflows.
To showcase the platform's capability in data integration and analysis for biologics R&D.

Main Methods:

Description of the core architectural and functional principles of Genedata Biologics.
Case study illustrating an antibody optimization workflow.
Methods for integrating and analyzing sequence, expression, assay, and analytics data.

Main Results:

The Genedata Biologics platform effectively supports antibody optimization.
Successful integration of diverse biological data is achieved.
Comprehensive analysis of experimental data is enabled.

Conclusions:

The Genedata Biologics platform provides a robust solution for biologics R&D.
The platform streamlines antibody engineering by managing complex data.
It facilitates data-driven decision-making in biologics development.