Table 7_Comparative transcriptome analysis unveils unique antiviral immune signatures of R

Rhinolophus pusillus bats exhibit elevated basal activity of innate antiviral immune genes compared to other mammals, based on multi-tissue transcriptomes from six individuals. Lamei Zhao published this 5.6 MB dataset under a CC-BY-4.0 license on figshare, with a last update in May 2026. The analysis integrates RNA-seq data from multiple mammalian species to investigate viral tolerance mechanisms in a key viral reservoir.

Use Cases

• Identify differentially expressed immune genes in Rhinolophus pusillus based on the comparative transcriptomic analysis described.
• Construct gene co-expression networks for tissue-specific regulatory modules based on the Weighted Gene Co-expression Network Analysis (WGCNA) mentioned.
• Analyze long non-coding RNA (lncRNA)-mRNA regulatory networks involved in inflammatory response and DNA damage repair as described in the results.
• Compare basal antiviral immune signatures across mammalian species using the integrated RNA-seq datasets referenced in the methods.

Strengths

• Includes multi-tissue transcriptomic data from six individual bats of two Rhinolophus species.
• Integrates publicly available RNA-seq datasets from multiple mammalian species for cross-species comparison.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The dataset is relatively small at 5.6 MB, potentially limiting the scope of contained data.

Provenance

Source

figshare, authored by Lamei Zhao.

Collection Method

Multi-tissue transcriptome generation and comparative analysis integrating publicly available RNA-seq datasets.

Time Range

null

Freshness

Last updated 2026-05-20 04:34:56; freshness should be verified.

Geography

null