Turquoise killifish

Overview

Turquoise killifish (Nothobranchius furzeri), also known as the African turquoise killifish, is a short-lived annual vertebrate from ephemeral pools in southeastern Africa. Rapid growth, early maturation, and embryonic diapause are central parts of its life cycle, and the species is widely used in studies of aging, developmental timing, regeneration, and life-history evolution.

The current data release combines baseline bulk transcriptomes with curated single-cell references. Public datasets provide a compact reference set for gene-centered exploration across sex, tissue, age, strain, and cell type in this species.

Research Areas Covered

• Aging and longevity: age-series transcriptomes from multiple tissues, including brain, liver, skin, skeletal muscle, and fin clip.
• Diapause and developmental timing: a vertebrate system for studying suspended animation, embryo dormancy, and life-cycle transitions.
• Tissue homeostasis and regeneration: age-associated molecular changes in organs with strong regenerative or maintenance phenotypes.
• Single-cell tissue atlas and sex dimorphism: cell-type-resolved profiles from blood, kidney, liver, spleen, and brain support analysis of immune, metabolic, neural, and sex-biased programs.
• Comparative genomics and life-history evolution: a compact vertebrate model for linking genome evolution, sex chromosome biology, and rapid aging.

Reference Genome and Annotation

Data Sources

Single cell data

GeneID handling describes how single-cell gene identifiers are connected to the current portal database:

• Original: keeps the author’s original identifier system.
• Converted: keeps the author matrix but converts gene identifiers to the current miniodp database when a stable mapping is available. The percentage indicates the fraction of author features retained in the public matrix after stable mapping to the current miniodp database. Features without a confident mapping are excluded from public display, and renamed or merged annotations can introduce small differences relative to the author’s original feature set.
• Rebuilt: regenerates the matrix from raw reads against the current reference. This keeps identifiers consistent with the current miniodp database, but expression values, detected features, and cell annotations can differ from the author’s original workflow.

Bulk data