Table 4_Comparative transcriptome analysis unveils unique antiviral immune signatures of R

Rhinolophus pusillus and Rhinolophus ferrumequinum transcriptomes were generated from six individuals each and integrated with public RNA-seq data from multiple mammalian species. The dataset, authored by Lamei Zhao and last updated in May 2026, contains results from cross-species comparative analyses, weighted gene co-expression network analysis (WGCNA), and long non-coding RNA (lncRNA)-mRNA regulatory network construction.

Use Cases

• Identify elevated basal antiviral immune gene expression patterns based on comparative transcriptomic analyses.
• Investigate tissue-specific regulatory modules based on weighted gene co-expression network analysis (WGCNA) results.
• Explore coordinated immune regulation based on predicted long non-coding RNA (lncRNA)-mRNA networks.
• Characterize transcriptional differences associated with viral infection tolerance based on differential expression analyses.

Strengths

• Data is derived from multi-tissue transcriptomes of six individuals per bat species, providing biological replicates.
• Analysis integrates publicly available RNA-seq datasets from multiple mammalian species for cross-species comparison.
• Dataset is licensed under CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (9.3 KB), indicating it likely contains summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Multi-tissue transcriptome sequencing and computational analysis including WGCNA and differential expression.

Time Range

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Freshness

Last updated 2026-05-20 04:34:57; freshness should be verified.

Geography

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