ArticleNucleic acids research2026
TCRdb 2.0: an updated T-cell receptor sequence database.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Structural T-Cell Receptor Analysis in the Age of Machine Learning.Immunological reviews · 2026Review
- Mapping the TCR landscape: computational tools empowering translational immunology and therapy design.Journal for immunotherapy of cancer · 2026Review
- Computational prediction of TCR cross-reactivity: principles, challenges and translational opportunities.Journal of translational medicine · 2026Review
- Supervised fine-tuning enhances unsupervised learning from 45 million amino acids in TCR and peptide sequences.Bioinformatics (Oxford, England) · 2026Article
- Neoantigen Targeting as a Novel Approach for Therapy-Resistant Tumors.Molecular diagnosis & therapy · 2026Review
- Assessment of computational methods in predicting TCR-epitope binding recognition.Nature methods · 2026Article
- Single-cell and molecular insights into the immunopathogenic mechanisms of oral mucous membrane pemphigoid.Computational and structural biotechnology journal · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
T-cell receptor (TCR) repertoire sequencing allows researchers to analyze millions of TCRs, providing unparalleled precision in understanding immune responses and enabling broad applications. However, existing TCR-related databases are based on a limited number of samples. Here, we present TCRdb2.0 (https://guolab.wchscu.cn/TCRdb2/#/), an updated and significantly expanded resource with enriched data and enhanced functionalities. TCRdb2.0 incorporates ∼700 million TCR sequences derived from 19 701 TCR-Seq samples across 46 tissues and 147 clinical conditions, making it the most comprehensive TCR sequence database to date. The homepage of TCRdb2.0 has powerful browsing, searching and downloading functions. It displays multiple features of TCR in sample and project levels. Compared to the previous release, TCRdb2.0 has the following major improvements: (i) a substantial increase of TCR sequences, from 277 million to ∼700 million; (ii) inclusion of TCR sequences from Gamma delta (γδ) T cells; (iii) integration of therapy-related TCR-Seq datasets, such as programmed cell death 1 (PD-1) blockade immunotherapy; (iv) construction of the largest TCR sequence reference from healthy samples; and (v) redesign of a new search and download function, enabling flexible queries and downloads. With its extensive data and user-friendly web interface, TCRdb2.0 will serve as an invaluable resource for functional studies of TCRs in both health and disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.