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MPAPASS software enables stitched multiplex, multidimensional EV repertoire analysis and a standard framework for
Joshua A Welsh1,2, Bryce Killingsworth1,2, Julia Kepley1
1Translational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Cell Reports Methods
|April 27, 2022
Summary
Researchers developed new open-source software, multiplex analysis post-acquisition analysis (MPAPASS), to analyze extracellular vesicle (EV) protein cargo. This tool enhances EV repertoire studies using multiplex assays and flow cytometry data.
Area of Science:
- Biotechnology
- Molecular Biology
- Bioinformatics
Background:
- Extracellular vesicles (EVs) are released by cells and contain cargo reflecting their origin.
- EV cargo in liquid biopsies offers insights into cell states.
- Multiplex assays are crucial for high-parameter EV protein detection but lack dedicated analysis software.
Purpose of the Study:
- To develop open-source software for analyzing extracellular vesicle (EV) repertoire data.
- To facilitate robust analysis of multiplex assay data from EV studies.
- To improve visualization and reporting of EV cargo.
Main Methods:
- Development of multiplex analysis post-acquisition analysis (MPAPASS) open-source software.
- Integration of stitched multiplex analysis capabilities.
- Implementation of EV database-compatible reporting and visualization tools.
Main Results:
- MPAPASS software enables post-acquisition analysis of multiplex EV assays.
- The software supports stitched multiplex analysis for comprehensive repertoire profiling.
- Provides standardized reporting and visualization for EV studies.
Conclusions:
- MPAPASS software addresses the need for advanced analysis tools in EV multiplex assays.
- Facilitates deeper understanding of EV cargo and cell states.
- Empowers researchers in extracellular vesicle studies with enhanced data analysis capabilities.
