Aging Killifish Brain Single-Nuclei Transcriptomic Atlas

An annotated Seurat object contains a single-nuclei gene expression atlas of female and male African turquoise killifish brains across adult ages. The dataset supports the study of vertebrate aging using the shortest-lived vertebrate model bred in captivity. It is provided in RDATA format.

Use Cases

• Analyze gene expression patterns across adult ages to study transcriptional changes associated with aging in the killifish brain.
• Compare single-nuclei transcriptomic profiles between female and male specimens to investigate sex-specific aging mechanisms.
• Explore multi-strain (GRZ and ZMZ-1001) differences in brain cell type composition and gene expression using the annotated Seurat object.
• Validate aging-related gene signatures identified in other models within this specific vertebrate aging atlas.

Strengths

• Data is derived from a large, multi-strain atlas covering both female and male specimens.
• The dataset focuses on the African turquoise killifish, a recognized model for vertebrate aging studies.
• An interactive R Shiny application is available for exploratory data analysis.

Limitations

• The specific number of nuclei (rows) and measured features (columns) is not provided in the input.
• Data is limited to brain tissue, not providing a whole-organism view of aging.
• The RDATA format requires specific bioinformatics tools (e.g., R, Seurat) for analysis, limiting accessibility.

Provenance

Source

figshare

Collection Method

Single-nuclei RNA sequencing of African turquoise killifish brain tissue.

Time Range

Covers adult ages, but specific age range not provided.

Freshness

Last updated on 2026-03-24.