Single-Cell Transcriptomic Clock for Neural Development

A meta-analysis of over 2.8 million cells from the developing human brain produced this model. It is a single-cell transcriptomic 'clock' that predicts developmental age based on 462 genes, with an error of 2.6 weeks. The dataset was created by Sridevi Venkatesan and last updated in April 2026.

Use Cases

• Predicting developmental age of neural cells based on the 462-gene signature
• Assessing maturation timelines in human neural organoids for disease modeling
• Comparing neurodevelopmental speed across species, such as mice and humans
• Detecting disease-associated shifts in developmental trajectories

Strengths

• Model is based on a meta-analysis of over 2.8 million cells
• Predictor uses 462 genes and reports an error of 2.6 weeks
• Demonstrated cross-species generalization, revealing a 10-fold acceleration in mice

Limitations

• Dataset is very small at 4.9 KB, suggesting it contains model parameters or a mapping table rather than raw cell data
• Row count and column-level documentation are absent; field semantics must be inferred after download

Provenance

Source

Sridevi Venkatesan via figshare

Collection Method

Meta-analysis of single-cell transcriptomic studies

Freshness

Last updated 2026-04-15 17:57:05