dandelionR: Single-cell immune repertoire trajectory analysis in R
Integration of single-cell RNA-sequencing (scRNA-seq) and adaptive immune receptor (AIR) sequencing (scVDJ-seq) is extremely powerful in studying lymphocyte development. A python-based package, <i>Dandelion</i>, introduced the VDJ-feature space method, which addresses the challenge of integrating single-cell AIR data with gene expression data and enhances trajectory analysis results. However, no R-based equivalent or similar methods currently exist. To fill this gap, we present <i>dandelionR</i>, an R implementation of <i>Dandelion</i>'s trajectory analysis workflow, bringing the VDJ feature space construction and trajectory analysis using diffusion maps and absorbing Markov chains to R, offering a new option for scRNA-seq and scVDJ-seq analysis to R users.
Authors
- Zewen Kelvin Tuong (ORCID: https://orcid.org/0000-0002-6735-6808)
- Nicholas Borcherding (ORCID: https://orcid.org/0000-0003-1427-6342)
- Jiawei Yu (ORCID: https://orcid.org/0009-0005-9793-1067)
- Xiaohan Xu (ORCID: https://orcid.org/0009-0002-3931-4982)
Institutions
- Children's Medical Research Institute (AU)
- Washington University in St. Louis (US)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.csbj.2025.06.047
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Children's Hospital Foundation