SARS-CoV-2-Induced ADAR Editing Patterns in Whole Blood RNA-Seq from 45 Individuals

Whole blood RNA sequencing samples from forty-five age-matched individuals with mild COVID-19 and no documented comorbidities. The data captures temporal changes in ADAR expression and editing patterns across three distinct stages of SARS-CoV-2 infection: pre-, mid-, and post-infection. The dataset was authored by Aiswarya Mukundan Nair and last updated on June 2, 2026.

Use Cases

• Analyze temporal dynamics of ADAR expression based on the three distinct infection stages described.
• Identify stage-specific RNA editing sites based on the reported editing patterns within immune response pathways.
• Investigate persistent dysregulation of ADAR editing post-viral clearance based on the described results in a subset of recovered individuals.
• Study editing within neutrophil degranulation pathway genes based on the specific immune pathway mentioned.

Strengths

• Data is derived from 45 age-matched individuals with a controlled profile (mild COVID-19, no comorbidities).
• Samples are temporally structured across three distinct clinical stages: pre-, mid-, and post-infection.
• The dataset is licensed under CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small in scale (868.5 KB), indicating limited raw data or processed summary-level results.

Provenance

Source

figshare, author Aiswarya Mukundan Nair.

Collection Method

Analysis of publicly available whole blood RNA sequencing samples.

Freshness

Last updated 2026-06-02 05:26:47; freshness should be verified.