TCRdb 2.0: an updated T-cell receptor sequence database

Area of Science:

• Immunology
• Bioinformatics
• Genomics

Background:

• T-cell receptor (TCR) repertoire sequencing is crucial for understanding immune responses.
• Existing TCR databases lack comprehensive data from diverse samples.
• A need exists for an expanded and enhanced TCR sequence resource.

Purpose of the Study:

• To present TCRdb2.0, an updated and significantly expanded T-cell receptor sequence database.
• To provide a comprehensive resource for analyzing TCR repertoire data.
• To enhance functional studies of TCRs in health and disease.

Main Methods:

• Incorporation of approximately 700 million TCR sequences from 19,701 TCR-Seq samples.
• Inclusion of TCR sequences from Gamma delta (γδ) T cells.
• Integration of therapy-related TCR-Seq datasets, including PD-1 blockade immunotherapy data.
• Construction of an extensive TCR sequence reference set from healthy individuals.
• Redesign of search and download functionalities for flexible data retrieval.

Main Results:

• TCRdb2.0 is the most comprehensive TCR sequence database to date, with a substantial increase in data volume.
• The database now includes Gamma delta (γδ) T cell TCR sequences.
• Therapy-related datasets and a large reference set from healthy samples are integrated.
• Enhanced browsing, searching, and downloading capabilities are available.

Conclusions:

• TCRdb2.0 offers an invaluable, expanded resource for T-cell receptor research.
• The database supports detailed functional studies of TCRs across various health and disease conditions.
• Its comprehensive data and user-friendly interface facilitate advancements in immunology and related fields.