Data Sheet 1: Transcriptome Analysis of SARS-CoV-2 Infection with MEK1/2 Inhibitor ATR-002

Gene expression data from a transcriptome analysis of SARS-CoV-2-infected Calu-3 cells treated with or without the MEK1/2 inhibitor ATR-002. The dataset was authored by Franziska Rodner and last updated on 2026-05-29. It is a 2.4 MB PDF file shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identify immune regulatory genes modulated by MEK1/2 inhibition based on the described transcriptome analysis.
• Analyze the effect of ATR-002 on innate immune-response-related genes like CXCL10, CCL5, MX1, and OASL mentioned in the results.
• Investigate the link between Raf/MEK/ERK signaling and specific candidate genes (EGR1, IFNL1, NLRP1) highlighted in the discussion.
• Study the relationship between MEK1/2 inhibition, caspase-1 activity, and IL-1β processing as suggested by the NLRP1 findings.

Strengths

• Data is derived from a transcriptome analysis, suggesting a genome-wide scope of measurement.
• The study design includes controlled contrasts: infected vs. non-infected cells with and without inhibitor treatment.
• Specific candidate genes and pathways (e.g., NLRP1, Raf/MEK/ERK) are identified and discussed in the provided description.
• Dataset is shared under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• The primary data format is a 2.4 MB PDF, which may require extraction to access underlying tabular data.
• Row count and specific column definitions are unknown, limiting suitability assessment.
• The description is detailed but column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare, author Franziska Rodner.

Collection Method

Transcriptome analysis performed on SARS-CoV-2-infected Calu-3 cells with/without ATR-002 treatment.

Freshness

Last updated 2026-05-29 06:20:23; freshness should be verified.