A comparative atlas of single-cell chromatin accessibility in the human brain

Сравнительный атлас доступности хроматина на одиночных клетках человеческого мозга
Ed S. Lein, Trygve E. Bakken, Michael Miller, Sebastian Preißl, Lin Lin, C. Dirk Keene, Sten Linnarsson, Rebecca D. Hodge, Joseph R. Ecker, Bing Ren, M. Margarita Behrens, Nick Dee, Nadiya V. Shapovalova, Quan Zhu, Wei Tian, Chenxu Zhu, Yang Eric Li, Jacinta Lucero, Colin Kern, Tamara Casper, Boaz P. Levi, Nicholas D. Johnson, Julia Osteen, Nora Emerson, Kimberly Siletti, Anna Marie Yanny, Julie Nyhus, Daniel Hirschstein, Allen Wang, Olivier Poirion, António Pinto‐Duarte, Zhaoning Wang, Jingbo Shang, Nathan R. Zemke, Zihan Wang, Henry Jiao, Yang Xie, Qian Yang, Sarah Espinoza
2023-10-12

candidate cis-regulatory elements (cCREs)cell-type specific regulatory landscapesneuropsychiatric disorder risk variant predictionsingle-cell chromatin accessibilitysingle-nucleus ATAC-seq
Recent advances in single-cell transcriptomics have illuminated the diverse neuronal and glial cell types within the human brain. However, the regulatory programs governing cell identity and function remain unclear. Using a single-nucleus assay for transposase-accessible chromatin using sequencing (snATAC-seq), we explored open chromatin landscapes across 1.1 million cells in 42 brain regions from three adults. Integrating this data unveiled 107 distinct cell types and their specific utilization of 544,735 candidate cis-regulatory DNA elements (cCREs) in the human genome. Nearly a third of the cCREs demonstrated conservation and chromatin accessibility in the mouse brain cells. We reveal strong links between specific brain cell types and neuropsychiatric disorders including schizophrenia, bipolar disorder, Alzheimer's disease (AD), and major depression, and have developed deep learning models to predict the regulatory roles of noncoding risk variants in these disorders.
1
Approximately one third of the identified cCREs are conserved and show chromatin accessibility in corresponding mouse brain cell types.
2
Developed deep learning models to predict regulatory effects of noncoding risk variants relevant to these neuropsychiatric disorders.
3
Found strong associations between specific brain cell types and neuropsychiatric disorders including schizophrenia, bipolar disorder, Alzheimer’s disease, and major depression.
4
Generated snATAC-seq profiles of chromatin accessibility across 1.1 million nuclei from 42 human brain regions across three adults.
5
Identified 107 distinct cell types and mapped usage of 544,735 candidate cis-regulatory DNA elements (cCREs) across those cell types.

Single-cell chromatin accessibility atlas of human brain nuclei (snATAC-seq profiles across 1.1 million nuclei from 42 brain regions)

Cell-type-resolved open chromatin landscapes and usage of candidate cis-regulatory elements across human brain cell types, and their links to neuropsychiatric disease-associated noncoding variants

Publication Details
Publication Date
2023-10-12
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Cited by
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Authors
Ed S. Lein
Trygve E. Bakken
Michael Miller
Sebastian Preißl
Lin Lin
C. Dirk Keene
Sten Linnarsson
Rebecca D. Hodge
Joseph R. Ecker
Bing Ren
M. Margarita Behrens
Nick Dee
Nadiya V. Shapovalova
Quan Zhu
Wei Tian
Chenxu Zhu
Yang Eric Li
Jacinta Lucero
Colin Kern
Tamara Casper
Boaz P. Levi
Nicholas D. Johnson
Julia Osteen
Nora Emerson
Kimberly Siletti
Anna Marie Yanny
Julie Nyhus
Daniel Hirschstein
Allen Wang
Olivier Poirion
António Pinto‐Duarte
Zhaoning Wang
Jingbo Shang
Nathan R. Zemke
Zihan Wang
Henry Jiao
Yang Xie
Qian Yang
Sarah Espinoza
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