Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS

This repository contains scripts for the analysis and figure generation of the paper
Batra*, Uni* et. al. Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS (2022), Molecular Medicine. link

Content

Execute scripts in order. The code will first compute all result tables and then generate the paper figures. For script 4, a running Cytoscape session is required to generate the network files.

Script name Description
1_between_ards.R Molecular comparison of the two ARDS groups for all omics layers
2_within_ards.R Molecular signatures per clinical manifestation in each ARDS group
3_figure_1.R Generates Figure 1
4_figure_2.R Generates Figure 2
5_figure_3.R Generates Figure 3
custom_functions.R Internal functions, will be sourced by other scripts
Folder Description
input Needs to contain omics and clinical data (see below)
results Will contain output files
Output files in results/ Description
tmp* Intermediate files used in follow-up scripts
Figure* Figure panels
supplementary* Supplementary files

Data

The input data used in this manuscript can be obtained from: https://doi.org/10.6084/m9.figshare.20260998.v1, and need to be placed in a folder called input/.

Reference

@article{batra_2023,
  author = {Batra Richa, Uni Rie, Akchurin Oleh M., Alvarez-Mulett Sergio,Gómez-Escobar Luis G., Patino Edwin, Hoffman Katherine L., Simmons Will, Whalen William, Harrington John, Chetnik Kelsey, Buyukozkan Mustafa, Benedetti Elisa, Suhre Karsten, Schmidt Frank, Schenck Edward, Cho Soo Jung, Choi Augustine M.K., Choi Mary E., Krumsiek Jan},
  doi = {https://doi.org/10.1186/s10020-023-00609-6},
  title = {{Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS}},
  url = {https://molmed.biomedcentral.com/articles/10.1186/s10020-023-00609-6},
  year = {2023}
}