Neural Network-Assisted Humanization of COVID-19 Hamster scRNAseq Data Reveals Matching Severity States in Human Disease

This archive contains data accompanying the publication Friedrich VD & Pennitz P et al. "Neural Network-Assisted Humanization of COVID-19 Hamster scRNAseq Data Reveals Matching Severity States in Human Disease".  The associated scripts generating the data are available at https://github.com/GenStatLeipzig/Neural-Networks-Assisted-Humanization-of-COVID-19-Hamster-scRNASeq-data. Raw and processed data of Phodopus roborovskii (Roborovski hamster) can be found at GEO: GSE253845. Publicly available datasets that were used in this manuscript can be found at GEO: GSE162208 (Syrian hamsters) and EGA: EGAS00001004571 (humans) as indicated in the original publications (doi: 10.1038/s41467-021-25030-7; doi.org/10.1016/j.cell.2020.08.001).

Content:

Figure1_and_FigureS2: Data for  Figure1 and and FigureS2.

Figure2: Data for  Figure1 and and FigureS2.

Figure3: Data for  Figure3.

Figure4: Data for  Figure4.

Figure5_and_FigureS5A,B: Data for Figure5 and FigureS5A,B. 

Figure6_and_FigureS5C: Data for Figure6 and FigureS5C. 

Figure7_FigureS6_and_FigureS7: Data for Figure7, FigureS6 and FigureS7.

FigureS1: Data for FigureS1.

FigureS3: Data for FigureS3.

FigureS4: Data for FigureS4.

integrated_interspecies_seurat_object: Seurat object of cross-species integrated data.

Syrian_hamster_seurat_object: Seurat object of processed Syrian hamster data.

VAE: Preliminary data from VAE pipeline.