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

Publicly available 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 pre-, mid-, and post-infection stages. The dataset was authored by Aiswarya Mukundan Nair and last updated on 2026-06-02.

Use Cases

• Analyzing temporal dynamics of ADAR expression based on the three distinct infection stages described.
• Identifying stage-specific RNA editing sites within immune response pathways, such as neutrophil degranulation.
• Investigating persistent dysregulation of ADAR editing post-viral clearance as a potential link to heterogeneous disease outcomes.
• Comparing pre- and post-infection editing states to understand recovery patterns from mild COVID-19.

Strengths

• Data is derived from 45 age-matched individuals, providing a controlled cohort for analysis.
• Samples are explicitly from individuals with mild COVID-19 and no documented comorbidities, reducing confounding factors.
• Temporal analysis is enabled by sampling across three distinct stages: pre-, mid-, and post-infection.

Limitations

• The dataset is small, with a file size of 173.7 KB, indicating limited raw data scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

figshare

Collection Method

Analysis of publicly available whole blood RNA sequencing samples.

Freshness

Last updated 2026-06-02 05:26:46; freshness should be verified.