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.

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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

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article

MARMOT: A multifaceted R pipeline for analysing spectral flow cytometry data from subcutaneously growing murine gastric organoids

Jiazhuo He, Peter Leary, Anne Müller, Lydia Kirsche
2 citations
Journal of Immunological Methods
Soil Moisture and Remote Sensing
1.60
article

MARMOT: A multifaceted R pipeline for analysing spectral flow cytometry data from subcutaneously growing murine gastric organoids

Jiazhuo He, Peter Leary, Anne Müller, Lydia Kirsche
article en
2 citations

Abstract

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.

Journal of Immunological MethodsVol. 540
University of Zurich (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Universität Zürich
Zero hunger
Openalex Percentile: Top 19%
Soil Moisture and Remote Sensing
1.60
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