A Public Database of Memory and Naive B-Cell Receptor Sequences

Area of Science:

• Immunology
• Bioinformatics
• Genomics

Background:

• B-cell receptors (BCR) and antibodies are crucial for adaptive immunity, recognizing diverse epitopes.
• The extensive diversity of BCR sequences presents challenges in understanding humoral immunity.
• Existing resources for BCR sequence data are limited in depth and scope.

Purpose of the Study:

• To create a comprehensive public database of unique B-cell receptor sequences.
• To develop online tools for visualizing and analyzing BCR repertoire data.
• To estimate the clonal diversity of naive and memory B-cell repertoires in healthy adults.

Main Methods:

• Collected over 37 million unique B-cell receptor sequences from three healthy adult donors.
• Developed a public database for annotated BCR sequence data.
• Created online tools for data visualization and analysis.

Main Results:

• Established a public database significantly deeper than existing resources.
• Provided tools for analyzing immunoglobulin heavy chain sequence properties.
• Estimated clonal diversity within naive and memory B-cell repertoires.

Conclusions:

• The new database and tools facilitate deeper insights into humoral immunity.
• This resource aids in understanding the properties and dynamics of immunoglobulin sequences.
• The findings contribute to characterizing the immune repertoire of healthy individuals.