Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain

Single-cell analysis of the adult human brain is facilitated by improved methods for RNA-seq and hypersensitive-site mapping. Detailed characterization of the cell types in the human brain requires scalable experimental approaches to examine multiple aspects of the molecular state of individual cell...

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Veröffentlicht in:Nature biotechnology 2018-01, Vol.36 (1), p.70-80
Hauptverfasser: Lake, Blue B, Chen, Song, Sos, Brandon C, Fan, Jean, Kaeser, Gwendolyn E, Yung, Yun C, Duong, Thu E, Gao, Derek, Chun, Jerold, Kharchenko, Peter V, Zhang, Kun
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container_issue 1
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container_title Nature biotechnology
container_volume 36
creator Lake, Blue B
Chen, Song
Sos, Brandon C
Fan, Jean
Kaeser, Gwendolyn E
Yung, Yun C
Duong, Thu E
Gao, Derek
Chun, Jerold
Kharchenko, Peter V
Zhang, Kun
description Single-cell analysis of the adult human brain is facilitated by improved methods for RNA-seq and hypersensitive-site mapping. Detailed characterization of the cell types in the human brain requires scalable experimental approaches to examine multiple aspects of the molecular state of individual cells, as well as computational integration of the data to produce unified cell-state annotations. Here we report improved high-throughput methods for single-nucleus droplet-based sequencing (snDrop-seq) and single-cell transposome hypersensitive site sequencing (scTHS-seq). We used each method to acquire nuclear transcriptomic and DNA accessibility maps for >60,000 single cells from human adult visual cortex, frontal cortex, and cerebellum. Integration of these data revealed regulatory elements and transcription factors that underlie cell-type distinctions, providing a basis for the study of complex processes in the brain, such as genetic programs that coordinate adult remyelination. We also mapped disease-associated risk variants to specific cellular populations, which provided insights into normal and pathogenic cellular processes in the human brain. This integrative multi-omics approach permits more detailed single-cell interrogation of complex organs and tissues.
doi_str_mv 10.1038/nbt.4038
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subjects 38/39
38/91
45/23
45/62
45/91
631/1647/514/2254
631/208/177
631/208/514/1949
631/378/340
Adult
Agriculture
Analysis
Annotations
Bioinformatics
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Biomedicine
Biotechnology
Brain
Brain - metabolism
Brain mapping
Cerebellum
Cerebellum - metabolism
Cerebellum - pathology
Computational neuroscience
Cortex (frontal)
Deoxyribonucleic acid
DNA
DNA binding proteins
DNA sequencing
Epigenesis, Genetic - genetics
Epigenetic inheritance
Frontal Lobe - metabolism
Frontal Lobe - pathology
Gene mapping
Genetic aspects
Genetic programs
Health aspects
High-Throughput Nucleotide Sequencing
Humans
Integration
Interrogation
Life Sciences
Myelination
Nuclei (cytology)
Organs
Regulatory sequences
Sequence Analysis, RNA
Single-Cell Analysis - methods
Transcription (Genetics)
Transcription factors
Transcriptome - genetics
Visual cortex
Visual Cortex - metabolism
Visual Cortex - pathology
title Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain
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