Immunopipe: a comprehensive and flexible scRNA-seq and scTCR-seq data analysis pipeline
Single-cell sequencing technologies provide us with information at the level of individual cells. Combining single-cell RNA-seq and single-cell TCR-seq profiling enables the exploration of cell heterogeneity and T-cell receptor repertoires simultaneously. Integrating both types of data can play a crucial role in enhancing our understanding of T-cell-mediated immunity and, in turn, facilitate the advancement of immunotherapy. Here, we present immunopipe, a comprehensive and flexible pipeline to perform integrated analysis of scRNA-seq and scTCR-seq data. In addition to the command line tool, we provide a user-friendly web interface for pipeline configuration and execution monitoring, benefiting researchers without extensive programming experience. With its comprehensive functionality and ease of use, immunopipe empowers researchers to uncover valuable insights from scRNA-seq and scTCR-seq data, ultimately advancing the understanding of immune responses and immunotherapy development.
Authors
- Yue Yu (ORCID: https://orcid.org/0000-0002-7794-4048)
- Panwen Wang (ORCID: https://orcid.org/0000-0002-4614-8970)
- Yan W. Asmann (ORCID: https://orcid.org/0000-0002-8896-2647)
- Haidong Dong (ORCID: https://orcid.org/0000-0002-5782-2983)
- Patrizia Mondello (ORCID: https://orcid.org/0000-0002-0355-3757)
- Zhifu Sun (ORCID: https://orcid.org/0000-0001-8461-7523)
- Hu Zeng (ORCID: https://orcid.org/0000-0002-9909-7732)
- Jean‐Pierre Kocher (ORCID: https://orcid.org/0000-0002-0260-6773)
- Ying Li (ORCID: https://orcid.org/0000-0002-4475-6139)
- Junwen Wang (ORCID: https://orcid.org/0000-0002-4432-4707)
- Shuwen Zhang (ORCID: https://orcid.org/0009-0002-7825-8741)
- Yi Lin
Institutions
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- University of Hong Kong (HK)
Publication Details
- Journal
- NAR Genomics and Bioinformatics
- Published
- 2025-03-29
- DOI
- https://doi.org/10.1093/nargab/lqaf063
- Citations
- 3
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Center for Individualized Medicine, Mayo Clinic