RAP-RNA Read Counts for HCV, YFV, and CHIKV Virus-Host RNA Interactions

Nkerorema Djodji Damas published read counts from RNA antisense purification experiments on May 15, 2026. The data maps RNA-RNA interactions between three human pathogenic viruses—hepatitis C virus, yellow fever virus, and chikungunya virus—and host cellular RNAs. The 11.0 KB Excel file provides a foundation for understanding viral exploitation of host RNA factors like mRNAs, mitochondrial RNAs, and small nuclear RNAs.

Use Cases

• Comparing virus-host RNA interactomes based on the three pathogens studied
• Investigating the role of host snoRNAs and snRNAs in viral RNA regulation
• Analyzing patterns of host mRNAs involved in translation and the proteasome
• Validating RNA-RNA interaction mapping methods like RAP-RNA

Strengths

• Data covers three important human pathogens: HCV, YFV, and CHIKV
• File size is 11.0 KB, indicating a focused and manageable dataset
• Uses the established RAP-RNA method, validated with the HCV/miR-122 interaction

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Dataset is very small (11.0 KB), indicating limited scope

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-05-15 17:44:36; freshness should be verified