AI Article Synopsis
- Single-cell sequencing of T and B cell receptors provides valuable insights into immune cell development and response in diseases and treatments.
- Analyzing these immune cells is complex due to intricate data and biology, making it a challenging task.
- This Review explores recent computational advancements that have significantly improved the analysis of these single-cell sequencing datasets.
Article Abstract
Single-cell T cell and B cell antigen receptor-sequencing data analysis can potentially perform in-depth assessments of adaptive immune cells that inform on understanding immune cell development to tracking clonal expansion in disease and therapy. However, it has been extremely challenging to analyze and interpret T cells and B cells and their adaptive immune receptor repertoires at the single-cell level due to not only the complexity of the data but also the underlying biology. In this Review, we delve into the computational breakthroughs that have transformed the analysis of single-cell T cell and B cell antigen receptor-sequencing data.
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| http://dx.doi.org/10.1038/s41592-024-02243-4 | DOI Listing |
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