Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain.
Blue B LakeSong ChenBrandon C SosJean FanGwendolyn E KaeserYun C YungThu E DuongDerek GaoJerold ChunPeter V KharchenkoKun ZhangPublished in: Nature biotechnology (2017)
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.
Keyphrases
- single cell
- high throughput
- rna seq
- transcription factor
- endothelial cells
- gene expression
- resting state
- functional connectivity
- induced pluripotent stem cells
- pluripotent stem cells
- white matter
- dna methylation
- copy number
- big data
- induced apoptosis
- childhood cancer
- genome wide
- public health
- working memory
- cell cycle arrest
- cell death
- mesenchymal stem cells
- young adults
- stem cells
- signaling pathway
- data analysis
- blood brain barrier
- cerebral ischemia
- genetic diversity