Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Developing a Competency List for General Practitioners/Family Physicians Providing Care for Dual-Location Residents: Expert Consensus via the Delphi Technique.

Journal of general and family medicine·2026

Same author

GPR17+ Oligodendrocyte Lineage Cells Regulate the Critical Period of Brain Development Through Novel Chondroitin Sulfate-Rich Structures.

Glia·2026

Same author

Epidemiological characteristics of amebiasis in Japan from 2001 to 2022.

PloS one·2026

Same author

Global suicide trends across major religions from 2000 to 2021.

BMC public health·2026

Same author

Giardiasis in Japan, the United States of America, and Europe from 2007 to 2023, highlighting a decline during the COVID-19 pandemic.

PLoS neglected tropical diseases·2026

Same author

Clinical Evaluation of the Clinical Reasoning Process of Large Language Models in Nephrology: Comparative Evaluation Study.

JMIR formative research·2026

Search research articles

Related Experiment Video

Updated: Jan 14, 2026

Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations

Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations

Published on: August 22, 2019

Enhancing monoclonal antibody diversity by integrating bulk sorting and machine learning.

Daisuke Hisamatsu¹, Rion Ozaki¹, Akari Ikeda¹

¹Intractable Disease Research Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Biochemistry and Biophysics Reports

|October 27, 2025

Summary

A new synthetic chimeric antibody (SynCA) technology enhances antibody discovery by integrating bulk B cell sorting and machine learning. This cost-effective method rapidly generates diverse therapeutic monoclonal antibodies (mAbs) from convalescent sera.

Keywords:

BCR repertoire diversity Bulk sorting Low cost Machine learning Monoclonal antibody discovery Prediction

More Related Videos

Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood

Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood

Published on: February 6, 2018

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

Related Experiment Videos

Last Updated: Jan 14, 2026

Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations

Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations

Published on: August 22, 2019

Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood

Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood

Published on: February 6, 2018

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

Area of Science:

Immunology
Biotechnology
Bioinformatics

Background:

Therapeutic monoclonal antibody (mAb) engineering aims to improve affinity and activity.
Conventional single-cell sorting for mAb discovery is costly and limits analysis.
Identifying potent neutralizing antibodies requires diverse human mAb libraries, especially for rapidly mutating viruses like SARS-CoV-2.

Purpose of the Study:

To develop a cost-effective and rapid method for generating diverse human mAb libraries.
To overcome limitations of single-cell sorting in antibody discovery.
To explore the potential of synthetic chimeric antibody (SynCA) technology for therapeutic antibody development.

Main Methods:

Developed synthetic chimeric antibody (SynCA) technology integrating bulk sorting of antigen-specific B cells and machine learning.
Cloned antibody variable regions from a single cDNA extracted from approximately 5000 B cells.
Compared SynCA method with single-cell sorting using convalescent sera from COVID-19 patients.

Main Results:

SynCA method significantly enhanced B cell receptor repertoire diversity in heavy and light chain genes.
Random pairing of heavy and light chain genes reconstituted diverse mAbs in vitro.
Nucleotide sequence information from antibody gene regions (D _H and J _L ) was found to predict antibody reconstitution.

Conclusions:

SynCA technology offers a cost-effective and rapid alternative for generating diverse mAb libraries.
This method facilitates the discovery of therapeutic, diagnostic, and research mAbs.
The findings provide new insights into antibody reconstitution prediction based on nucleotide sequence information.