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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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Literature Corpus work
1cf20508-7ede-5ae1-8e34-bfabce3ec101
DOI
10.1101/2025.02.24.639936
Open publication

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Cell Type-Agnostic Transcriptomic Signatures Enable Uniform Comparisons of NeurodevelopmentDOI 10.1101/2025.02.24.639936
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