Cross-Species Ovarian Single-Cell RNA-Seq Data with Cell Type Validation

Figshare data supporting a study on evolutionary conservation in ovarian tissues. The 32.8 MB ZIP file contains supplementary figures and likely underlying data for analyses of single-cell and single-nucleus RNA sequencing across multiple species. It was authored by Bailing Xue and last updated on April 14, 2026.

Use Cases

• Benchmarking batch correction methods (RPCA, CCA, Harmony) based on the scIB analysis mentioned in the description
• Identifying conserved marker genes for granulosa cell (GC) subtypes based on the cross-species dot plot analysis
• Analyzing shared differentially expressed genes (DEGs) among cell groups using the described UpSet plots
• Validating cell type clustering robustness through the described downsampling and AUROC correlation approach

Strengths

• Data supports a peer-reviewed scientific analysis with specific methodological validation (MetaNeighbor AUROC, scIB benchmarking).
• Includes cross-species and cross-platform (scRNA-seq vs. snRNA-seq) comparisons.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 32.8 MB size suggests it may be a supplementary results file rather than the full primary dataset.

Provenance

Source

figshare

Collection Method

Likely generated as supplementary data for a published scientific study on cross-species ovarian transcriptomics.

Time Range

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Freshness

Last updated 2026-04-14 04:47:55; freshness should be verified.

Geography

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