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BICAN: Cell Census of Developing Brain
Chromatin accessibility during human first-trimester neurodevelopment
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Authors
Camiel C. A. Mannens, Lijuan Hu, Peter Lönnerberg, Marijn Schipper, Caleb C. Reagor, Xiaofei Li, Xiaoling He, Roger A. Barker, Erik Sundström, Danielle Posthuma & Sten Linnarsson
Citation
Mannens, C.A., et al. Chromatin accessibility during human first-trimester neurodevelopment. Nature (2024). https://doi.org/10.1038/s41586-024-07234-1
Summary
We have profiled gene expression and chromatin accessibility across the brain of 26 first-trimester fetal samples (6-13 p.c.w), identifying region-specific cell types and temporal gradients in chromatin accessibility during the early phases of neurodvelopment. In particular, we used machine learning to identify key transcription factors that drive the accessibility of enhancers in distinct neuron subtypes.
Data and Tools
Resource Name | Resource URL | Description |
|---|---|---|
Chromograph | https://github.com/linnarsson-lab/chromograph | Code Repository: Chromograph code for data analysis. |
DELAY | https://github.com/calebclayreagor/DELAY | Code Repository: DELAY for Depicting Lagged causalitY across single-cell trajectories for accurate gene-regulatory inference. |
CATlas web browser | https://catlas.org/humanbraindev/ | Data exploration: Human Brain Development 10x-multiome data from 526,094 nuclei |
European Genome Phenome Archive | https://www.ega-archive.org/studies/EGAS00001007472 | Data Download: human scATAC-seq and combined scRNA-seq from 116 single cell ATAC runs and 23 single cell multiome runs. |
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