Back to Search
Start Over
Single-nucleus transcriptome analysis reveals cell-type-specific molecular signatures across reward circuitry in the human brain.
- Source :
-
Neuron [Neuron] 2021 Oct 06; Vol. 109 (19), pp. 3088-3103.e5. Date of Electronic Publication: 2021 Sep 27. - Publication Year :
- 2021
-
Abstract
- Single-cell gene expression technologies are powerful tools to study cell types in the human brain, but efforts have largely focused on cortical brain regions. We therefore created a single-nucleus RNA-sequencing resource of 70,615 high-quality nuclei to generate a molecular taxonomy of cell types across five human brain regions that serve as key nodes of the human brain reward circuitry: nucleus accumbens, amygdala, subgenual anterior cingulate cortex, hippocampus, and dorsolateral prefrontal cortex. We first identified novel subpopulations of interneurons and medium spiny neurons (MSNs) in the nucleus accumbens and further characterized robust GABAergic inhibitory cell populations in the amygdala. Joint analyses across the 107 reported cell classes revealed cell-type substructure and unique patterns of transcriptomic dynamics. We identified discrete subpopulations of D1- and D2-expressing MSNs in the nucleus accumbens to which we mapped cell-type-specific enrichment for genetic risk associated with both psychiatric disease and addiction.<br />Competing Interests: Declaration of interests A.E.J. is employed by a for-profit biotechnology startup company (company name pending), which is unrelated to the content of this manuscript. The remaining authors declare no competing interests.<br /> (Copyright © 2021 Elsevier Inc. All rights reserved.)
- Subjects :
- Brain Mapping
Genome-Wide Association Study
High-Throughput Nucleotide Sequencing
Humans
Interneurons physiology
Mental Disorders genetics
Neurons physiology
Sequence Analysis, RNA
Substance-Related Disorders genetics
gamma-Aminobutyric Acid physiology
Brain physiology
Cell Nucleus genetics
Cell Nucleus physiology
Gene Expression Profiling
Nerve Net physiology
Reward
Subjects
Details
- Language :
- English
- ISSN :
- 1097-4199
- Volume :
- 109
- Issue :
- 19
- Database :
- MEDLINE
- Journal :
- Neuron
- Publication Type :
- Academic Journal
- Accession number :
- 34582785
- Full Text :
- https://doi.org/10.1016/j.neuron.2021.09.001