Related Experiment Video
Updated: Jun 9, 2026

Detection of MicroRNAs in Microglia by Real-time PCR in Normal CNS and During Neuroinflammation
Published on: July 23, 2012
Molecular mapping of a core transcriptional signature of microglia-specific genes in schizophrenia
Anna M Fiorito1,2, Eric Fakra1,3, Guillaume Sescousse1,2
1Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR 5292, PSYR2 Team, University of Lyon, Lyon, France.
Abstract:
Besides playing a central role in neuroinflammation, microglia regulate synaptic development and is involved in plasticity. Converging lines of evidence suggest that these different processes play a critical role in schizophrenia. Furthermore, previous studies reported altered transcription of microglia genes in schizophrenia, while microglia itself seems to be involved in the etiopathology of the disease. However, the regional specificity of these brain transcriptional abnormalities remains unclear. Moreover, it is unknown whether brain and peripheral expression of microglia genes are related. Thus, we investigated the expression of a pre-registered list of 10 genes from a core signature of human microglia both at brain and peripheral levels. We included 9 independent Gene Expression Omnibus datasets (764 samples obtained from 266 individuals with schizophrenia and 237 healthy controls) from 8 different brain regions and 3 peripheral tissues. We report evidence of a widespread transcriptional alteration of microglia genes both in brain tissues (we observed a decreased expression in the cerebellum, associative striatum, hippocampus, and parietal cortex of individuals with schizophrenia compared with healthy controls) and whole blood (characterized by a mixed altered expression pattern). Our results suggest that brain underexpression of microglia genes may represent a candidate transcriptional signature for schizophrenia. Moreover, the dual brain-whole blood transcriptional alterations of microglia/macrophage genes identified support the model of schizophrenia as a whole-body disorder and lend weight to the use of blood samples as a potential source of biological peripheral biomarkers.
Insights
Microglia gene expression is altered in the brain and blood of individuals with schizophrenia. This suggests a potential transcriptional signature for schizophrenia and supports viewing it as a whole-body disorder.
Area of Science:
- Neuroscience
- Genetics
- Psychiatry
Background:
- Microglia play key roles in neuroinflammation, synaptic development, and plasticity, processes critical to schizophrenia.
- Previous research indicates altered microglia gene transcription in schizophrenia, but regional specificity and brain-peripheral relationships are unclear.
Purpose of the Study:
- To investigate the regional specificity of brain and peripheral expression of core human microglia genes in schizophrenia.
- To determine if brain and blood expression of microglia genes are related in individuals with schizophrenia.
Main Methods:
- Analysis of 9 Gene Expression Omnibus datasets (764 samples; 266 schizophrenia, 237 controls).
- Examined expression of 10 core human microglia signature genes across 8 brain regions and 3 peripheral tissues.
Main Results:
- Widespread transcriptional alterations of microglia genes were observed in brain tissues, with decreased expression in cerebellum, associative striatum, hippocampus, and parietal cortex.
- Whole blood samples showed a mixed pattern of altered microglia gene expression.
- Evidence suggests a correlation between brain and peripheral transcriptional changes in microglia/macrophage genes.
Conclusions:
- Underexpression of microglia genes in the brain may serve as a candidate transcriptional signature for schizophrenia.
- Dual brain-whole blood alterations support schizophrenia as a whole-body disorder.
- Blood samples may offer potential peripheral biomarkers for schizophrenia.
More Related Videos
09:49Isolation of Region-specific Microglia from One Adult Mouse Brain Hemisphere for Deep Single-cell RNA Sequencing
Published on: December 3, 2019
04:41Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020