Evidence map›Paper›PMID 32341540›Full record

ArticleNature neuroscience2020

Single-nucleus transcriptomics of the prefrontal cortex in major depressive disorder implicates oligodendrocyte precursor cells and excitatory neurons.

Corina Nagy, Malosree Maitra, Arnaud Tanti, Matthew Suderman, Jean-Francois Théroux, Maria Antonietta Davoli, Kelly Perlman, Volodymyr Yerko, Yu Chang Wang, Shreejoy J Tripathy and 4 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 325 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
325citing papers in PubMed, 6 pooled it
22.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

325 citing papers in PubMed, 6 syntheses or guidelines pooled it, 514 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

265 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 2 countries.

Corina Nagy *McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Malosree Maitra *McGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Arnaud TantiMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Matthew SudermanMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Jean-Francois ThérouxMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Maria Antonietta DavoliMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Kelly PerlmanMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Volodymyr YerkoMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Yu Chang WangDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.
Shreejoy J TripathyMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Paul PavlidisMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Naguib MechawarMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Jiannis RagoussisDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0002-8515-0934
Gustavo TureckiMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, Quebec, Canada. gustavo.turecki@mcgill.ca.ORCID http://orcid.org/0000-0003-4075-2736
Douglas Mental Health University Institute · CAMcGill University and Génome Québec Innovation Centre · CAUniversity of Toronto · CACentre for Addiction and Mental Health · CAUniversity of Bristol · GBUniversity of British Columbia · CA

Funding

CIHR EGM141899CIHR FDN148374Medical Research Council MC_UU_00011/5
6 · The paper itself

Abstract

Major depressive disorder (MDD) has an enormous impact on global disease burden, affecting millions of people worldwide and ranking as a leading cause of disability for almost three decades. Past molecular studies of MDD employed bulk homogenates of postmortem brain tissue, which obscures gene expression changes within individual cell types. Here we used single-nucleus transcriptomics to examine ~80,000 nuclei from the dorsolateral prefrontal cortex of male individuals with MDD (n = 17) and of healthy controls (n = 17). We identified 26 cellular clusters, and over 60% of these showed differential gene expression between groups. We found that the greatest dysregulation occurred in deep layer excitatory neurons and immature oligodendrocyte precursor cells (OPCs), and these contributed almost half (47%) of all changes in gene expression. These results highlight the importance of dissecting cell-type-specific contributions to the disease and offer opportunities to identify new avenues of research and novel targets for treatment.

Indexed as

TranscriptomeAdolescentAdultAgedAged, 80 and overCase-Control StudiesGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansMajor Depressive DisorderMaleMiddle AgedNeuronsOligodendrocyte Precursor CellsPrefrontal CortexYoung Adult

Identifiers

PMID32341540
OpenAlexW3020538763

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.