Article
Cell Type-Agnostic Transcriptomic Signatures Enable Uniform Comparisons of Neurodevelopment
2025-02-25
Abstract excerpt
<h4>Summary</h4> Single-cell transcriptomics has revolutionized our understanding of neurodevelopmental cell identities, yet, predicting a cell type’s developmental state from its transcriptome remains a challenge. We perform a meta-analysis of developing human brain datasets comprising over 2.8 million cells, identifying both tissue-level and cell-autonomous predictors of developmental age. While tissue composit...
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Identifiers and source
- Literature Corpus work
- 1cf20508-7ede-5ae1-8e34-bfabce3ec101
- DOI
- 10.1101/2025.02.24.639936
