TCRdb 2.0: an updated T-cell receptor sequence database.

IF 13.1 2区生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY

Nucleic Acids Research Pub Date : 2025-09-09 DOI:10.1093/nar/gkaf876

Tao Yue,Si-Yi Chen,Wen-Kang Shen,Yu Liao,Qian Lei,An-Yuan Guo

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引用次数: 0

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.

查看原文本刊更多论文

TCRdb 2.0：更新的t细胞受体序列数据库。

t细胞受体（TCR）库测序允许研究人员分析数百万个TCR，在理解免疫反应和实现广泛应用方面提供无与伦比的精度。然而，现有的tcr相关数据库是基于有限数量的样本。在这里，我们介绍了TCRdb2.0 (https://guolab.wchscu.cn/TCRdb2/#/)，这是一个更新和显著扩展的资源，具有丰富的数据和增强的功能。TCRdb2.0包含了来自46个组织和147个临床条件的19701个TCR- seq样本的约7亿个TCR序列，使其成为迄今为止最全面的TCR序列数据库。TCRdb2.0的主页具有强大的浏览、搜索和下载功能。它在样本和项目级别显示了TCR的多个特征。与之前的版本相比，TCRdb2.0有以下主要改进：(i) TCR序列大幅增加，从2.77亿增加到~ 7亿；（ii）包含来自γδ (γδ) T细胞的TCR序列；（iii）整合治疗相关的TCR-Seq数据集，如程序性细胞死亡1 （PD-1）阻断免疫治疗；（iv）从健康样本中构建最大的TCR序列参考；(v)重新设计新的搜索和下载功能，实现灵活的查询和下载。凭借其广泛的数据和用户友好的网络界面，TCRdb2.0将成为tcr在健康和疾病中的功能研究的宝贵资源。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nucleic Acids Research 生物-生化与分子生物学

CiteScore

27.10

自引率

4.70%

发文量

1057

审稿时长

2 months

期刊介绍： Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.