Comparative Transcriptomic Datasets for Vertebrate Photoreceptor Evolution

Single-cell RNA sequencing datasets support research into the evolution of vertebrate photoreceptor cell types. The data, derived from a published study in Current Biology, has been processed to adjust cell names and clustering. Researchers can use the provided script to convert the data from H5AD to RDS format for analysis.

Use Cases

• Comparative analysis of photoreceptor cell transcriptomes across species
• Evolutionary trajectory modeling based on gene expression profiles
• Cell type classification and clustering validation using adjusted labels
• Reproducing analyses from the associated Current Biology publication

Strengths

• Data is directly associated with a peer-reviewed publication in Current Biology (Volume 35, Issue 10, 2025)
• Available under a permissive CC-BY-4.0 license for reuse
• Cross-platform presence on DataCite and figshare indicates established sharing

Limitations

• Column names and row counts are not provided in any source metadata
• The dataset is a processed derivative of original data, requiring careful attribution to the source publication
• Documentation is minimal, relying entirely on the referenced paper and a GitHub script

Provenance

Source

Derived from data published by Dario Tommasini, Takeshi Yoshimatsu, Teresa Puthussery, Tom Baden, and Karthik Shekhar.

Collection Method

Single-cell RNA sequencing, with subsequent processing involving changes to cell names and clustering.

Freshness

Last updated 2026-03-25