Litcius/Paper detail

huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level

Lize Wu, Ziwei Xue, Siqian Jin, Jinchun Zhang, Yixin Guo, Yadan Bai, Xuexiao Jin, Chaochen Wang, Lie Wang, Zuozhu Liu, James Q. Wang, Linrong Lu, Wanlu Liu

2021Nucleic Acids Research24 citationsDOIOpen Access PDF

Abstract

T-cell receptors (TCRs) and B-cell receptors (BCRs) are critical in recognizing antigens and activating the adaptive immune response. Stochastic V(D)J recombination generates massive TCR/BCR repertoire diversity. Single-cell immune profiling with transcriptome analysis allows the high-throughput study of individual TCR/BCR clonotypes and functions under both normal and pathological settings. However, a comprehensive database linking these data is not yet readily available. Here, we present the human Antigen Receptor database (huARdb), a large-scale human single-cell immune profiling database that contains 444 794 high confidence T or B cells (hcT/B cells) with full-length TCR/BCR sequence and transcriptomes from 215 datasets. All datasets were processed in a uniform workflow, including sequence alignment, cell subtype prediction, unsupervised cell clustering, and clonotype definition. We also developed a multi-functional and user-friendly web interface that provides interactive visualization modules for biologists to analyze the transcriptome and TCR/BCR features at the single-cell level. HuARdb is freely available at https://huarc.net/database with functions for data querying, browsing, downloading, and depositing. In conclusion, huARdb is a comprehensive and multi-perspective atlas for human antigen receptors.

Topics & Concepts

BiologyT-cell receptorTranscriptomeComputational biologyAntigenImmune systemDatabaseT cellGeneticsComputer scienceGeneGene expressionSingle-cell and spatial transcriptomicsT-cell and B-cell ImmunologyImmune Cell Function and Interaction
huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level | Litcius