MARMOT: A multifaceted R pipeline for analysing spectral flow cytometry data from subcutaneously growing murine gastric organoids
The analysis of murine immune cell types is a critical component of immunological research, necessitating precise and reproducible methodologies. Here, we present a comprehensive protocol and pipeline designed to streamline the process from murine gastric organoid transplant sample preparation to figure generation. This pipeline includes a detailed staining panel tailored for murine immune cells, ensuring accurate and comprehensive identification of various cell types. Additionally, it integrates an R-based analysis script (MARMOT Pipeline), encompassing data processing and visualisation. A key feature of this pipeline is its ability to produce publication-quality figures with minimal direct R coding, thus making advanced data analysis accessible to researchers with limited programming experience. Additionally, figures can be customised using a provided Shiny application. This approach both enhances the efficiency of data analysis and enables the reproducibility required for high-quality scientific research.
Authors
- Jiazhuo He
- Peter Leary (ORCID: https://orcid.org/0000-0003-1430-6185)
- Anne Müller
- Lydia Kirsche (ORCID: https://orcid.org/0009-0002-1826-3952)
Institutions
- University of Zurich (CH)
Publication Details
- Journal
- Journal of Immunological Methods
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1016/j.jim.2025.113854
- Citations
- 2
- Primary Topic
- Soil Moisture and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 1.60
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Universität Zürich