Characterizing the Extracellular Vesicle Proteomic Landscape of the Human Airway using In vitro Organotypic Multi-Cellular Models

Analyses used to investigate tri and co culture organotypic models of the alveolar capillary region (ACR) of the lung and determine if these can be indicators of EV proteomic modulations

All analyses in this respository are designated by their figure number or table number in the manuscript in parantheses.

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This script was generated to support the manuscript titled 'Characterizing the Extracellular Vesicle Proteomic Landscape of the Human Airway using In vitro Organotypic Multi-Cellular Models', published in 2023 in iScience. doi:https://doi.org/10.1016/j.isci.2023.108162; PMID: 37920665

1. PDF Data Visualization (Figure 2)

• Figure of extracted PDF data visualizing unexposed tri-culture and co-culture groups
• Tested for differences between groups using Wilcoxon Rank Sum tests

2. Proteomics Data Processing

• Normalized, implemented background filters, imputed missing proteomics data, and removed sample outliers

3. Group Distribution Analysis (Table S1 & S2)

• Used Wilcoxon rank sum tests to compare protein abundance distributions between co-culture unexposed and tri-culture unexposed models
• Calculated overall log2 transformed abundances and stratified by set (co-culture and tri-culture)