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Diversity of Antigen Receptors

Diversity of Antigen Receptors

Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...

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Printed Glycan Array: A Sensitive Technique for the Analysis of the Repertoire of Circulating Anti-carbohydrate Antibodies in Small Animals

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Antibody Data Analysis from Diverse Immune Libraries.

Ahmed S Fahad^1,2, Matías F Gutiérrez-Gonzalez^1,2, Bharat Madan¹

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

Cold Spring Harbor Protocols

|November 25, 2024

Summary

This summary is machine-generated.

This study presents a protocol for analyzing antibody gene sequence data from functional screening. It enables quantification and mapping of antibody repertoires using enrichment ratios for improved antibody discovery.

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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:

Biochemistry
Bioinformatics
Immunology

Background:

Antibody functional screening and next-generation sequencing demand precise data processing.
Interpreting sequence data is crucial for optimizing antibody discovery and display library screening.

Purpose of the Study:

To provide a detailed protocol for the functional analysis of antibody gene data.
To enable high-throughput analysis and interpretation of antibody data for display library screening.

Main Methods:

Antibody repertoire quantification.
Functional mapping of high-throughput screening data using enrichment ratio values.
Bioinformatic tools for analyzing sequence data from sorted display libraries.

Main Results:

A protocol for functional analysis of antibody gene data is detailed.
Enrichment ratio values are utilized to determine antibody enrichment after antigen sorting.
The protocol facilitates high-throughput analysis of antibody data.

Conclusions:

The presented protocol offers a straightforward yet effective method for antibody data analysis.
This approach is well-suited for display library screening and antibody discovery applications.
Bioinformatic tools enhance the interpretation of antibody sequence data for research.