bioRxivDevelopmental BiologyPreprint
Dynamics of chromatin accessibility during human first-trimester neurodevelopment
Camiel C. A. MannensiD, Lijuan HuiD, Peter LönnerbergiD, Marijn SchipperiD, Caleb C. ReagoriD, Xiaofei LiiD, Xiaoling HeiD, Roger A. BarkeriD, Erik SundströmiD, Daniëlle PosthumaiD, Sten LinnarssoniD
Abstract
The human brain is capable of highly complex functions that develops through a tightly organized cascade of patterning events, expressed transcription factors and changes in chromatin accessibility. While extensive datasets exist describing gene expression across the developing brain with single-cell resolution, similar atlases of chromatin accessibility have been primarily focused on the forebrain. Here, we focus on the chromatin landscape and paired gene expression across the developing human brain to provide a comprehensive single cell atlas during the first trimester (6 - 13 post-conceptional weeks). We identified 135 clusters across half a million nuclei and using the multiomic measurements linked candidate cis-regulatory elements (cCREs) to gene expression. We found an increase in the number of accessible regions driven both by age and neuronal differentiation. Using a convolutional neural network we identified putative functional TF-binding sites in enhancers characterizing neuronal subtypes and we applied this model to cCREs upstream of ESRRB to elucidate its activation mechanism. Finally, by linking disease-associated SNPs to cCREs we validated putative pathogenic mechanisms in several diseases and identified midbrain-derived GABAergic neurons as being the most vulnerable to major depressive disorder related mutations. Together, our findings provide a higher degree of detail to some key gene regulatory mechanisms underlying the emergence of cell types during the first trimester. We anticipate this resource to be a valuable reference for future studies related to human neurodevelopment, such as identifying cell type specific enhancers that can be used for highly specific targeting in in vitro models.
- organism: human
- assay: scRNA-seq
- assay: ATAC-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- approach: deep learning
- Citations
- 7
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A Chromatin Accessibility Atlas of the Developing Human Telencephalon
Eirene Markenscoff-Papadimitriou, Sean Whalen, … John L.R. Rubenstein·CellPeer-reviewed·Jun 30, 2020
- Multi-omic profiling of the developing human cerebral cortex at the single cell level
Kaiyi Zhu, Jaroslav M. Bendl, … Panos Roussos·Science AdvancesPeer-reviewed·Oct 12, 2023
- Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution
Alexandro E. Trevino, Fabian Müller, … William James Greenleaf·CellPeer-reviewed·Aug 13, 2021
- A comparative atlas of single-cell chromatin accessibility in the human brain
Yang Eric Li, Sebastian Preißl, … Bing Ren·SciencePeer-reviewed·Oct 12, 2023
- Single-cell chromatin profiling reveals dynamic regulatory logic and enhancer elements in brain and retina development
Jessie E. Greenslade, Hemagowri Veeravenkatasubramanian, … Bushra Raj·bioRxiv·Mar 17, 2026
- Single cell epigenomic atlas of the developing human brain and organoids
Ryan S. Ziffra, Chang N. Kim, … Tomasz Jan Nowakowski·bioRxiv·Dec 30, 2019