Table 3_Comparative transcriptome analysis unveils unique antiviral immune signatures of R

Multi-tissue transcriptomes from six individuals of Rhinolophus pusillus and Rhinolophus ferrumequinum, integrated with public RNA-seq data from other mammals. The dataset, authored by Lamei Zhao and last updated in May 2026, presents results from cross-species comparative analyses, weighted gene co-expression network analysis (WGCNA), and long non-coding RNA regulatory network construction.

Use Cases

• Identify genes with elevated basal antiviral activity based on comparative transcriptomic analyses mentioned in the description.
• Study tissue-specific regulatory modules based on the Weighted Gene Co-expression Network Analysis (WGCNA) results.
• Investigate coordinated immune regulation based on the constructed long non-coding RNA (lncRNA)-mRNA regulatory networks.
• Compare innate immune and inflammatory transcriptional programs between bat species as described in the results.

Strengths

• Data integrates multi-tissue transcriptomes from six individual bats with publicly available RNA-seq datasets from multiple mammalian species.
• Analysis includes specific methodologies like WGCNA and lncRNA-mRNA network construction, as detailed in the description.
• Dataset is licensed under CC-BY-4.0, permitting open reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (9.2 KB), suggesting it contains summary or processed results rather than raw sequencing data.

Provenance

Source

figshare, author Lamei Zhao.

Collection Method

Multi-tissue transcriptome generation and integration with public RNA-seq data, followed by comparative bioinformatic analyses.

Time Range

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Freshness

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

Geography

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