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Updated: Jun 9, 2025

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
Published on: January 12, 2021
NeoTCR: An Immunoinformatic Database of Experimentally-supported Functional Neoantigen-specific TCR Sequences
Weijun Zhou1,2, Wenting Xiang3, Jinyi Yu2
1Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China.
Abstract:
Neoantigen-based immunotherapy has demonstrated long-lasting antitumor activity. The recognition of neoantigens by T cell receptors (TCRs) is considered a trigger for antitumor responses. Due to the overwhelming number of TCR repertoires in the human genome, pinpointing neoantigen-specific TCRs is a formidable challenge. Recent studies have identified a number of functional neoantigen-specific TCRs, but the corresponding information is scattered across published literature and is difficult to retrieve. To improve access to these data, we developed an immunoinformatic database (NeoTCR) containing a unified description of publicly available neoantigen-specific TCR sequences, as well as relevant information on targeted neoantigens, from experimentally-supported studies across 17 cancer subtypes. A user-friendly web interface allows interactive browsing and running of complex database queries. To facilitate rapid identification of neoantigen-specific TCRs from raw sequencing data, NeoTCR offers a one-stop analysis for annotation and visualization of TCR clonotypes, discovery of existing neoantigen-specific TCRs, and exclusion of bystander virus-associated TCRs. NeoTCR represents a unique tool to expedite future studies of neoantigen-specific TCRs and the development of neoantigen-based immunotherapy. NeoTCR is available at http://neotcrdb.bioxai.cn/ and https://github.com/lyotvincent/NeoTCR.
Insights
Neoantigen-specific T cell receptors (TCRs) are crucial for effective cancer immunotherapy. A new database, NeoTCR, unifies scattered data on these TCRs, aiding research and development.
Area of Science:
- Immunology
- Bioinformatics
- Computational Biology
Background:
- Neoantigen-based immunotherapy shows promise for long-lasting antitumor effects.
- T cell receptor (TCR) recognition of neoantigens initiates antitumor responses.
- Identifying specific TCRs from vast repertoires is challenging, with data currently fragmented.
Purpose of the Study:
- To create a centralized, accessible database of neoantigen-specific TCR sequences.
- To facilitate the retrieval and analysis of TCR data for cancer immunotherapy research.
- To develop a tool that aids in the discovery and annotation of TCRs from sequencing data.
Main Methods:
- Development of an immunoinformatic database (NeoTCR) integrating TCR sequences and neoantigen information.
- Inclusion of data from experimentally supported studies across 18 cancer subtypes.
- Creation of a user-friendly web interface for data browsing and querying.
Main Results:
- NeoTCR provides a unified repository of neoantigen-specific TCR sequences and associated data.
- The database supports interactive browsing, complex queries, and analysis of TCR clonotypes.
- Includes tools for annotation, visualization, discovery of known TCRs, and exclusion of viral TCRs.
Conclusions:
- NeoTCR serves as a valuable resource for researchers studying neoantigen-specific TCRs.
- The database is expected to accelerate the development of novel neoantigen-based immunotherapies.
- NeoTCR is publicly available and aims to streamline T cell receptor research in oncology.
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