Significant Interactors from RAP-RNA: Virus-Host RNA Interactions for HCV, YFV, and CHIKV

An Excel file of 15.7 KB contains data from RNA antisense purification (RAP-RNA) experiments mapping RNA-RNA interactions. Nkerorema Djodji Damas published this dataset on figshare in 2026 to provide a more comprehensive understanding of cellular RNA interactions for RNA viruses. It focuses on three human pathogens: hepatitis C virus (HCV), yellow fever virus (YFV), and chikungunya virus (CHIKV).

Use Cases

• Identify host RNA factors interacting with viral RNA based on RAP-RNA mapping results.
• Compare RNA interactome patterns across different RNA viruses like HCV, YFV, and CHIKV.
• Investigate the role of specific RNA classes (e.g., snoRNAs, snRNAs, mtRNAs) in viral infection.
• Guide experimental validation of host RNA interactors for their impact on viral replication.

Strengths

• Dataset size is 15.7 KB, indicating a focused and manageable data file.
• License is CC-BY-4.0, allowing for broad reuse and sharing.
• Methodology is clearly described as optimized RNA antisense purification (RAP-RNA).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description suggests most identified interactions were not critical for viral infection, indicating potential noise.

Provenance

Source

figshare

Collection Method

RNA antisense purification to systematically map RNA-RNA interactions (RAP-RNA).

Freshness

Last updated 2026-05-15 17:44:32; freshness should be verified.