Stephenson: Single-Cell Multi-Omics Immune Response in COVID-19

Processed multi-omics data from a study of the immune response to COVID-19, published in Nature Medicine in 2021. The dataset is provided in AnnData format and was uploaded by Eljas Roellin. It is a 1.6 GB file last updated in May 2026.

Use Cases

• Analyze coordinated gene expression and protein abundance based on the multi-omics nature of the data.
• Investigate immune cell heterogeneity in COVID-19 patients based on single-cell resolution.
• Train models to predict disease severity based on integrated multi-omic immune profiles.
• Benchmark computational tools for processing and analyzing AnnData-formatted single-cell datasets.

Strengths

• Data is linked to a peer-reviewed publication in Nature Medicine (2021).
• Dataset is processed and provided in the AnnData format, which is standard for single-cell analysis.
• File size is 1.6 GB, indicating a medium-scale dataset.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Stephenson, E., Reynolds, G., Botting, R. A., et al. (2021). Single-cell multi-omics analysis of the immune response in COVID-19. Nature medicine, 27(5), 904-916.

Collection Method

Processed data from a single-cell multi-omics study.

Freshness

Last updated 2026-05-05 07:21:01; freshness should be verified.