Dataset Information

DNA methylation in the superior temporal gyrus of 44 subjects with schizophrenia and 44 non-psychiatric control subjects

ABSTRACT: DNA methylation (DNAm) signal from the planum temporale of superior temporal gyrus (STG) of forty-four subjects with schizophrenia (SZ) and forty-four non-psychiatric control (NPC) subjects was measured on the Illumina MethylationEPIC BeadChip Infinium (EPIC) array. Averaged, normalized beta-values at each site were correlated with dendritic spine density (DSD) previously measured per subject to identify site-specific DNAm-DSD correlations that met methylome-wide significance, or a suggestive-level of significance. We tested the hypothesis that DNAm correlates with DSD in human STG at several sites across the methylome and that this relationship is disrupted in SZ. DSD measures were available for 40 of the subjects with SZ and 40 of the NPC subjects. We found DNAm to correlate with DSD at more sites than expected by chance in NPC, but not SZ, subjects. In addition, we show that the slopes of the linear DNAm-DSD correlations differed between SZ and NPC subjects at more sites than expected by chance. Together, these data suggest that alterations in the intercation between DNAm and neurobiology in SZ may be a mechanism for SZ-related DSD reductions.

ORGANISM(S): Homo sapiens

PROVIDER: GSE144910 | GEO | 2020/06/30

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:To follow-up findings that miR-9 was abundantly expressed in control NPCs, significantly down-regulated in a subset of SZ NPCs, and that miR-9 levels/activity, neural migration and diagnosis were strongly correlated, we tested the effect of manipulating miR-9 at cellular, proteomic and transcriptomic levels. Unexpectedly, proteomic- and RNAseq-based analysis revealed that these effects were mediated primarily by small changes in expression of indirect miR-9 targets, rather than large changes in direct miR-9 targets; these indirect targets are enriched for migration-associated genes. Together these data indicate that aberrant levels and activity of miR-9 may be one of the many factors that contribute to SZ risk, at least in a subset of patients. Methods: We compared global transcription of forebrain NPCs from two control and two SZ patients with manipulated miR-9 levels by RNAseq. Results: Although RNAseq analysis revealed large inter-individual heterogeneity, we were able to resolve several functional consistencies in the effects of our miR-9 perturbations: i) the change in miR-9 activity was consistent with the inhibitory role of miR-9, ii) the gene expression fold-change of miR-9 target genes (between each perturbation and its corresponding control, summarized by the first principal component) was correlated (r=0.95, p=3.92e-04) with miR-9 fold change and iii) the differentially expressed (DE; p <0.01) gene list resulting from miR-9 perturbation (paired t-test) was enriched for miR-9 targets (1.53-fold, p=1.2e-5). Conclusions: We integrated the miR-9 perturbation RNAseq data with our existing RNAseq datasets contrasting control and SZ hiPSC NPC expression from our cohort 1 (six controls, four patients), to ask whether there was any relationship between the âSZ NPC signatureâ and âmiR-9 perturbationâ datasets; we observed that the DE (p-value <0.01) in âSZ NPC signatureâ is enriched for DE (fdr<0.01) in âmiR-9 perturbationâ (the overall enrichment is 2.31-fold (p=9.39e-09)); there is significant correlation between DE fold-change in these two datasets (overall genes r=0.188; p<10e-50). Effects were mediated primarily by small changes in expression of indirect miR-9 targets, rather than large changes in direct miR-9 targets; these indirect targets are enriched for migration-associated genes Biological duplicates of passage-matched NPCs from 1 control (female) and 1 SZ patient (female) were transduced with either RV-GFP or RV-miR-9-GFP; GFP-positive NPCs were purified by fluorescent activated cell sorting (FACS) and expanded for two passages. In parallel, passage-matched NPCs from 2 controls (1 male, 1 female) and 2 SZ patients (1 male, 1 female) were transiently transfected with either scrambled or miR-9 LNA probes. In both instances, miR-9 perturbation was confirmed by qPCR.

Project description:Schizophrenia (SZ) and bipolar disorder (BD) are severe neuropsychiatric disorders with serious impact on patients, together termed major psychosis. Recently, long intergenic non-coding RNAs (lincRNAs) were reported to play important roles in mental diseases. However, little was known about their molecular mechanism in pathogenesis of SZ and BD. Here, we performed RNA sequencing on 82 post-mortem brain tissues from three brain regions (orbitofrontal cortex (BA11), anterior cingulate cortex (BA24) and dorsolateral prefrontal cortex (BA9)) of patients with SZ and BD and control subjects, generating over one billion reads. We characterized lincRNA transcriptome in the three brain regions and identified 20 differentially expressed lincRNAs (DELincRNAs) in BA11 for BD, 34 and 1 in BA24 and BA9 for SZ, respectively. Our results showed that these DELincRNAs exhibited brain region-specific patterns. Applying weighted gene co-expression network analysis, we revealed that DELincRNAs together with other genes can function as modules to perform different functions in different brain regions, such as immune system development in BA24 and oligodendrocyte differentiation in BA9. Additionally, we found that DNA methylation alteration could partly explain the dysregulation of lincRNAs, some of which could function as enhancers in the pathogenesis of major psychosis. Together, we performed systematical characterization of dysfunctional lincRNAs in multiple brain regions of major psychosis, which provided a valuable resource to understand their roles in SZ and BD pathology and helped to discover novel biomarkers. RNA sequencing of 82 brain samples including each of 19 from BA9 and BA24 and 44 from BA11. We performed RNA sequencing on three brain regions namely the BA11 (part of orbitofrontal cortex), BA24 (part of anterior cingulate) and BA9 (part of dorsolateral prefrontal cortex) from SZ and BD patients and psychiatrically normal individuals.In summary, there were 44 BA11 samples from 16 SZ, 16 BD and 12 control subjects, and 19 BA24 and 19 BA9 samples from the same subjects including 6 SZ, 7 BD and 6 controls.

Project description:To follow-up findings that miR-9 was abundantly expressed in control NPCs, significantly down-regulated in a subset of SZ NPCs, and that miR-9 levels/activity, neural migration and diagnosis were strongly correlated, we tested the effect of manipulating miR-9 at cellular, proteomic and transcriptomic levels. Unexpectedly, proteomic- and RNAseq-based analysis revealed that these effects were mediated primarily by small changes in expression of indirect miR-9 targets, rather than large changes in direct miR-9 targets; these indirect targets are enriched for migration-associated genes. Together these data indicate that aberrant levels and activity of miR-9 may be one of the many factors that contribute to SZ risk, at least in a subset of patients. Methods: We compared global transcription of forebrain NPCs from two control and two SZ patients with manipulated miR-9 levels by RNAseq. Results: Although RNAseq analysis revealed large inter-individual heterogeneity, we were able to resolve several functional consistencies in the effects of our miR-9 perturbations: i) the change in miR-9 activity was consistent with the inhibitory role of miR-9, ii) the gene expression fold-change of miR-9 target genes (between each perturbation and its corresponding control, summarized by the first principal component) was correlated (r=0.95, p=3.92e-04) with miR-9 fold change and iii) the differentially expressed (DE; p <0.01) gene list resulting from miR-9 perturbation (paired t-test) was enriched for miR-9 targets (1.53-fold, p=1.2e-5). Conclusions: We integrated the miR-9 perturbation RNAseq data with our existing RNAseq datasets contrasting control and SZ hiPSC NPC expression from our cohort 1 (six controls, four patients), to ask whether there was any relationship between the “SZ NPC signature” and “miR-9 perturbation” datasets; we observed that the DE (p-value <0.01) in “SZ NPC signature” is enriched for DE (fdr<0.01) in “miR-9 perturbation” (the overall enrichment is 2.31-fold (p=9.39e-09)); there is significant correlation between DE fold-change in these two datasets (overall genes r=0.188; p<10e-50). Effects were mediated primarily by small changes in expression of indirect miR-9 targets, rather than large changes in direct miR-9 targets; these indirect targets are enriched for migration-associated genes

Dataset Information

DNA methylation in the superior temporal gyrus of 44 subjects with schizophrenia and 44 non-psychiatric control subjects

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets