ReviewBiological psychiatry2011
Analyzing schizophrenia by DNA microarrays.
Review in Biological psychiatry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- Meta-analysis of sex differences in gene expression in schizophrenia.BMC systems biology · 2016Pooled it
- Aging in Schizophrenia: Perspectives on Molecular Mechanisms and a Mini-review.Schizophrenia bulletin · 2026Review
- A transcriptomic dimension of neuronal and immune gene programs within the subgenual anterior cingulate cortex in schizophrenia.Translational psychiatry · 2026Article
- A neuro-immune axis of transcriptomic dysregulation within the subgenual anterior cingulate cortex in schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- MK-801-exposure induces increased translation efficiency and mRNA hyperacetylation ofEpigenetics · 2024Article
- FMR1 genetically interacts with DISC1 to regulate glutamatergic synaptogenesis.Schizophrenia (Heidelberg, Germany) · 2024Article
- Associations between prefrontal PI (16:0/20:4) lipid,Frontiers in psychiatry · 2023Article
- Integrative omics of schizophrenia: from genetic determinants to clinical classification and risk prediction.Molecular psychiatry · 2022Review
- Histone Acetylation and Methylation Underlie Oligodendroglial and Myelin Susceptibility in Schizophrenia.Frontiers in cellular neuroscience · 2022Review
- Bioinformatics analysis of long non-coding RNA-associated competing endogenous RNA network in schizophrenia.Scientific reports · 2021Article
- Network modules linking expression and methylation in prefrontal cortex of schizophrenia.Epigenetics · 2021Article
- Investigation of Schizophrenia with Human Induced Pluripotent Stem Cells.Advances in neurobiology · 2020Review
- Analyzing DNA methylation patterns in subjects diagnosed with schizophrenia using machine learning methods.Journal of psychiatric research · 2019Article
- Identification of the primate-specific gene BTN3A2 as an additional schizophrenia risk gene in the MHC loci.EBioMedicine · 2019Article
- Magnetic Resonance Spectroscopy in Schizophrenia: Evidence for Glutamatergic Dysfunction and Impaired Energy Metabolism.Neurochemical research · 2019Review
- Transcriptome Alterations in Prefrontal Pyramidal Cells Distinguish Schizophrenia From Bipolar and Major Depressive Disorders.Biological psychiatry · 2017Article
- Gene expression elucidates functional impact of polygenic risk for schizophrenia.Nature neuroscience · 2016Article
- Human dermal fibroblasts in psychiatry research.Neuroscience · 2016Review
- Altered expression of mRNA profiles in blood of early-onset schizophrenia.Scientific reports · 2016Article
- Inhibition of parvalbumin-expressing interneurons results in complex behavioral changes.Molecular psychiatry · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
To understand the pathological processes of schizophrenia, we must embrace the analysis of the diseased human brain: we will never be able to recapitulate the pathology of uniquely human disorders in an animal model. Based on the outcome of the transcriptome profiling experiments performed to date, it appears that schizophrenia is associated with a global gene expression disturbance across many cortical regions. In addition, transcriptome changes are present in multiple cell types, including specific subclasses of principal neurons, interneurons, and oligodendrocytes. Furthermore, transcripts related to synaptic transmission, energy metabolism, and inhibitory neurotransmission are routinely found underexpressed in the postmortem brain tissue of subjects with schizophrenia. To put these transcriptome data in biological context, we must make our data publicly available and report our findings in a proper, expanded Minimum Information About a Microarray Experiment format. Cell-type specific expression profiling and sequencing-based transcript assessments should be expanded, with particular attention to understanding splice-variant changes in various mental disorders. Deciphering the pathophysiology of mental disorders depends on integrating data from across many research fields and techniques. Leads from postmortem transcriptome profiling will be essential to generate model animals, perform tissue culture experiments, and develop or evaluate novel drugs to treat this devastating disorder.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.