IDEIS: a tool to identify PTPRC/CD45 isoforms from single-cell transcriptomic data
Single-cell RNA sequencing (scRNA-seq) methods are widely used in life sciences, including immunology. Typical scRNA-seq analysis pipelines quantify the abundance of particular transcripts without accounting for alternative splicing. However, a well-established pan-leukocyte surface marker, CD45, encoded by the <i>PTPRC</i> gene, presents alternatively spliced variants that define different immune cell subsets. Information about some of the splicing patterns in particular cells in the scRNA-seq data can be obtained using isotype-specific DNA oligo-tagged anti-CD45 antibodies. However, this requires generation of an additional sequencing DNA library. Here, we present IDEIS, an easy-to-use software for CD45 isoform quantification that uses single-cell transcriptomic data as the input. We showed that IDEIS accurately identifies canonical human CD45 isoforms in datasets generated by 10× Genomics 5' sequencing assays. Moreover, we used IDEIS to determine the specificity of the <i>Ptprc</i> splicing pattern in mouse leukocyte subsets.
Authors
- Ondřej Štěpánek (ORCID: https://orcid.org/0000-0002-2735-3311)
- Juraj Michálik (ORCID: https://orcid.org/0000-0001-8479-0991)
- Veronika Niederlová (ORCID: https://orcid.org/0000-0001-8768-9039)
Institutions
- Czech Academy of Sciences, Institute of Molecular Genetics (CZ)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-10-09
- DOI
- https://doi.org/10.3389/fimmu.2024.1446931
- Citations
- 4
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.94