Single-nucleus RNA sequencing shows convergent evidence from different cell types for altered synaptic plasticity in major depressive disorder
Open accessPreprint — published as 10.1038/s41593-020-0621-y · Paper page
Abstract
Major depressive disorder (MDD) is a complex illness that involves the interaction of different brain systems, pathways, and cell types. Past molecular studies of MDD relied on cellular homogenates of post-mortem brain tissue, making it impossible to determine gene expression changes within individual cells. Using single-cell transcriptomics, we examined almost 80,000 nuclei from the dorsolateral prefrontal cortex of individuals with MDD and healthy controls. Our analyses identified 26 distinct cellular clusters, and over 60% of these showed transcriptional differences between groups. Specifically, 96 genes were differentially expressed, the majority of which were downregulated. Convergent evidence from our analyses, including gene expression, differential correlation, and gene ontology implicated dysregulation of synaptic plasticity in the etiopathogenesis of MDD. Our results show that this high-resolution approach can reveal previously undetectable changes in specific cell types in the context of complex phenotypes and heterogeneous tissues.
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A 2018 study analyzed single nuclei from the prefrontal cortex of MDD patients and controls; 26 unique cellular clusters were identified, with the majority showing case/control differences at the transcriptome level.
“A study published in 2018 analyzed single nuclei from the PFC of MDD patients and psychiatrically healthy controls. Twenty-six unique cellular clusters were identified, with the majority of the clusters showing case/control differences at the transcriptome level.”
From Epigenetics and depression (2019) · cites this paper as [35]
Cites
Massively parallel single-nucleus RNA-seq with DroNc-seq
Habib, N., Avraham-Davidi, I., Basu, A., Burks, T., Shekhar, K., Hofree, M., Choudhury, S. R., Aguet, F., Gelfand, E., Ardlie, K., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4407 · Cited by 1,069 · see citing works
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Penner-Goeke, S., & Binder, E. B. (2019) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2019.21.4/ebinder · Cited by 254 · see citing works
Single cell transcriptome profiling of the human alcohol-dependent brain
Brenner, E., Tiwari, G. R., Kapoor, M., Liu, Y., Brock, A., & Mayfield, R. D. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa038 · Cited by 118 · see citing works
- Authors
- Nagy, C., Maitra, M., Tanti, A., Suderman, M., Théroux, J.-F., Mechawar, N., Ragoussis, J., & Turecki, G.
- Affiliations
- Douglas Mental Health University Institute (CA)
- University of Bristol (GB)
- University of Toronto (CA)
- McGill University and Génome Québec Innovation Centre (CA)
- Corresponding author
- Turecki, Gustavo
- Venue
- Nature Neuroscience
- Publisher
- openRxiv
- Published
- 2018-08-03
- Volume
- 23
- Issue
- 6
- Pages
- 771-781
- ISSN
- 1097-6256 (ISSN-L)
- OpenAlex
- W3020538763
- Cited by
- 523
- References
- 1
- Citations by year
- 2026: 99 · 2025: 100 · 2024: 94 · 2023: 83 · 2022: 56 · 2021: 66 · 2020: 20 · 2019: 5
- FWCI
- 32.87
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Nature Neuroscience (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Explore Bristol Research (publishedVersion, other-oa)
- eScholarship@McGill (McGill) (submittedVersion)
- Funders
- McGill University
- National Alliance for Research on Schizophrenia and Depression
- Government of Canada (EGM141899, FDN148374)
- Canada First Research Excellence Fund
- Canadian Institutes of Health Research (33408, EGM141899, FDN148374)
- Fonds de Recherche du Québec - Santé (EGM141899)
- Medical Research Council (MC_UU_00011/5)
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- major depressive disorder, dorsolateral prefrontal cortex, single-nucleus transcriptomics, oligodendrocyte precursor cells, cell type-specific gene expression, synaptic plasticity, immune function, steroid hormones, postmortem brain
- MeSH terms
- Oligodendrocyte Precursor Cells, Adolescent, Adult, Aged, Aged, 80 and over, Major Depressive Disorder, Humans, Male, Middle Aged, Neurons, Case-Control Studies, Prefrontal Cortex, Gene Regulatory Networks, Young Adult, High-Throughput Nucleotide Sequencing, Transcriptome
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