Evidence map›Paper›PMID 38781388›Full record

ArticleScience (New York, N.Y.)2024

Single-cell multi-cohort dissection of the schizophrenia transcriptome.

W Brad Ruzicka, Shahin Mohammadi, John F Fullard, Jose Davila-Velderrain, Sivan Subburaju, Daniel Reed Tso, Makayla Hourihan, Shan Jiang, Hao-Chih Lee, Jaroslav Bendl and 7 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

109 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Article
  19. Schizophrenia: from mechanism to therapy.Science China. Life sciences · 2026
    Review
  20. Article

49 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

17 authors.

W Brad Ruzicka *Laboratory for Epigenomics in Human Psychopathology, McLean Hospital, Belmont, MA 02478, USA.ORCID 0000-0001-6749-4875
Shahin Mohammadi *Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0001-8734-2326
John F Fullard *Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-9874-2907
Jose Davila-Velderrain *Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0003-0271-6267
Sivan SubburajuLaboratory for Epigenomics in Human Psychopathology, McLean Hospital, Belmont, MA 02478, USA.ORCID 0000-0003-3111-9859
Daniel Reed TsoLaboratory for Epigenomics in Human Psychopathology, McLean Hospital, Belmont, MA 02478, USA.
Makayla HourihanLaboratory for Epigenomics in Human Psychopathology, McLean Hospital, Belmont, MA 02478, USA.
Shan JiangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Hao-Chih LeeDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Jaroslav BendlCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-9989-2720
PsychENCODE Consortium§
Georgios VoloudakisCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-5729-632X
Vahram HaroutunianDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-5860-2512
Gabriel E HoffmanCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-0957-0224
Panos Roussos *Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-4640-6239
Manolis Kellis *Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0001-7113-9630
PsychENCODE Consortium

Funding

Understanding the molecular mechanisms that contribute to neuropsychiatric symptoms in Alzheimer DiseaseR01AG067025 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FINKBEINER, STEVEN M, HAROUTUNIAN, VAHRAM · 2019 to 2023
$11.8M
Higher Order Chromatin and Genetic Risk for Alzheimer's DiseaseR01AG050986 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2015 to 2025
$11.2M
Functional Genomics of Human Brain DevelopmentP50MH106934 · NIMH · YALE UNIVERSITY · PI SESTAN, NENAD · 2014 to 2019
$7.9M
Cis-Regulatory Epigenome Mappings in SchizophreniaU01MH103392 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, SKLAR, PAMELA · 2014 to 2017
$7.6M
Molecular Profiling of SchizophreniaR01MH110921 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHESS, ANDREW J, ROUSSOS, PANAGIOTIS · 2016 to 2020
$6.9M
Transcriptional and Epigenetic Signatures of Human Brain Development and AutismU01MH103339 · NIMH · YALE UNIVERSITY · PI SESTAN, NENAD, STATE, MATTHEW W. · 2014 to 2017
$6.5M
Elucidating the Molecular Mechanisms of Neuropsychiatric Symptoms in Alzheimer's DiseaseR01AG062335 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS, TSAI, LI-HUEI · 2018 to 2022
$6.5M
1/2 Cell Type and Region-Specific Regulatory Networks in Human Brain Development and DisordersU01MH116488 · NIMH · YALE UNIVERSITY · PI SESTAN, NENAD · 2018 to 2022
$6.5M
Discovery and validation of neuronal enhancers as development of psychiatric disorders supplementU01MH116492 · NIMH · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GERSTEIN, MARK BENDER, WENG, ZHIPING · 2018 to 2023
$6.2M
The 3D genome in transcriptional regulation across the postnatal life span, with implications for schizophrenia and bipolar disorderU01MH116442 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, DRACHEVA, STELLA · 2018 to 2022
$5.9M
2/3 Understanding PTSD through Postmortem Targeted Brain Multi-omicsR01MH117291 · NIMH · LIEBER INSTITUTE, INC. · PI Joel Edward Kleinman · 2018 to 2026
$5.2M
Multiethnic genomic epigenomic and transcriptomic fine-mapping and functional validation analysis of schizophrenia and bipolar disorder risk lociR01MH125246 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2021 to 2025
$5.0M
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6 · The paper itself

Abstract

The complexity and heterogeneity of schizophrenia have hindered mechanistic elucidation and the development of more effective therapies. Here, we performed single-cell dissection of schizophrenia-associated transcriptomic changes in the human prefrontal cortex across 140 individuals in two independent cohorts. Excitatory neurons were the most affected cell group, with transcriptional changes converging on neurodevelopment and synapse-related molecular pathways. Transcriptional alterations included known genetic risk factors, suggesting convergence of rare and common genomic variants on neuronal population-specific alterations in schizophrenia. Based on the magnitude of schizophrenia-associated transcriptional change, we identified two populations of individuals with schizophrenia marked by expression of specific excitatory and inhibitory neuronal cell states. This single-cell atlas links transcriptomic changes to etiological genetic risk factors, contextualizing established knowledge within the human cortical cytoarchitecture and facilitating mechanistic understanding of schizophrenia pathophysiology and heterogeneity.

Indexed as

Genetic Predisposition to DiseaseNeurogliaNeuronsPrefrontal CortexSchizophreniaSingle-Cell AnalysisAdultAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsSynapses

Identifiers

PMID38781388
PMCPMC12772489

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Registered trials

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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.