SARSCOVIDB

SARSCOVIDB integrates differential mRNA and protein expression data from SARS-CoV-2 studies to support analysis of the molecular impacts of infection.

Key Features:

• Literature-derived integration: Centralizes differential gene expression data curated from 24 selected articles drawn from over 5,554 COVID-19/SARS-CoV-2-related publications.
• Comprehensive gene catalog: Contains 12,535 genes annotated as having altered expression following SARS-CoV-2 infection.
• Multi-perspective annotation: Associates data with viral strains, host organisms, experimental methodologies including proteomics and transcriptomics, and sample types (clinical or experimental).
• Consolidated differential expression data: Synthesizes published mRNA and protein-level differential expression results for comparative molecular analyses.

Scientific Applications:

• Pathway analysis: Enables investigation of molecular pathways affected by SARS-CoV-2 using aggregated differential expression data.
• Biomarker discovery: Facilitates identification of potential diagnostic, prognostic, or therapeutic biomarker candidates based on altered gene or protein expression.
• Comparative host–virus studies: Supports comparison of gene expression profiles across different viral strains and host species.

Methodology:

Data were manually curated from published literature focusing on differential gene expression analyses, synthesizing results from 24 selected studies among 5,554 COVID-19/SARS-CoV-2 publications.