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.

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.