Concordance of inflammatory markers in lymphocytes and prefrontal cortex in schizophrenia
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA695206 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13559321.fastq.gz | Fastqsanger.gz | |||
| SRR13559322.fastq.gz | Fastqsanger.gz | |||
| SRR13559323.fastq.gz | Fastqsanger.gz | |||
| SRR13559324.fastq.gz | Fastqsanger.gz | |||
| SRR13559325.fastq.gz | Fastqsanger.gz |
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Project description:Schizophrenia is a severe neuropsychiatric disorder associated with a wide array of transcriptomic and neurobiochemical changes. Genome-wide transcriptomic profiling conducted in postmortem brain have provided novel insights into the pathophysiology of this disorder, and identified biological processes including immune/inflammatory-related responses, metabolic, endocrine and synaptic function. However, few studies have investigated whether similar changes could be found in peripheral tissue. Here, we used RNA-sequencing to characterize transcriptomic profiles of lymphocytes in 18 non-psychotic controls and 19 individuals with schizophrenia. We identified 2,819 differentially expressed transcripts (pnominal < 0.05) in the schizophrenia group when compared to controls. Bioinformatic analyses conducted on a subset of 293 genes (pnominal < 0.01 and |log2FC| > 0.5) highlighted immune/inflammatory response as key biological processes in our dataset. Differentially expressed genes in lymphocytes were highly enriched for gene expression profiles from cortex layer 5a & immune cells. Thus, we investigated whether the changes in transcripts levels we observed in lymphocytes could also be detected in the prefrontal cortex (PFC, BA10) in a second validation cohort of schizophrenia subjects. Remarkably, mRNA levels detected in the PFC and lymphocytes were in strong agreement, and measurements obtained using RNA-sequencing were positively correlated with data obtained by RT-qPCR analysis. Collectively, our work supports a role for immune dysfunction in the pathogenesis of schizophrenia and suggest that peripheral markers can be used as accessible surrogates to investigate putative central nervous system disruptions.
2021-02-16 | GSE165604 | GEO
Project description:Schizophrenia is a severe neuropsychiatric disorder associated with a wide array of transcriptomic and neurobiochemical changes. Genome-wide transcriptomic profiling conducted in postmortem brain have provided novel insights into the pathophysiology of this disorder, and identified biological processes including immune/inflammatory-related responses, metabolic, endocrine, and synaptic function. However, few studies have investigated whether similar changes are present in peripheral tissue. Here, we used RNA-sequencing to characterize transcriptomic profiles of lymphocytes in 18 nonpsychotic controls and 19 individuals with schizophrenia. We identified 2819 differentially expressed transcripts (P nominal < .05) in the schizophrenia group when compared to controls. Bioinformatic analyses conducted on a subset of 293 genes (P nominal < .01 and |log2 FC| > 0.5) highlighted immune/inflammatory responses as key biological processes in our dataset. Differentially expressed genes in lymphocytes were highly enriched in gene expression profiles associated with cortex layer 5a and immune cells. Thus, we investigated whether the changes in transcripts levels observed in lymphocytes could also be detected in the prefrontal cortex (PFC, BA10) in a second replication cohort of schizophrenia subjects. Remarkably, mRNA levels detected in the PFC and lymphocytes were in strong agreement, and measurements obtained using RNA-sequencing positively correlated with data obtained by reverse transcriptase-quantitative polymerase chain reaction analysis. Collectively, our work supports a role for immune dysfunction in the pathogenesis of schizophrenia and suggests that peripheral markers can be used as accessible surrogates to investigate putative central nervous system disruptions.
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Project description:Schizophrenia-associated anomalies in gene expression in postmortem brain are caused by a combination of genetic and environmental influences. Given the small effect size of common variants it is likely that we may only see the combined impact of some of these at the pathway level in small postmortem studies. However, at the gene level we will see more impact from common environmental risk factors mediated by influential epigenomic modifiers. In this study we examine changes in cortical gene expression to identify regulatory interactions and networks associated with the disorder. Gene expression analysis in post-mortem prefrontal dorsolateral cortex (BA 46) (n=74 matched pairs of schizophrenia, schizoaffective and control samples) was performed using Illumina HT12 gene expression microarrays. Significant gene interaction networks were identified for differentially expressed genes in pathways of neurodevelopmental and oligodendrocyte function.
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Project description:The molecular basis of complex neuropsychiatric disorders most likely involves many genes. In recent years, specific genetic variations influencing risk for schizophrenia and other neuropsychiatric disorders have been reported. We have used custom DNA microarrays and qPCR to investigate the expression of putative schizophrenia susceptibility genes and related genes of interest in the normal human brain. Expression of 31 genes was measured in Brodmann's area 10 (BA10) in the prefrontal cortex of 72 postmortem brain samples spanning half a century of human aging (18-67 years), each without history of neuropsychiatric illness, neurological disease, or drug abuse. Examination of expression across age allowed the identification of genes whose expression patterns correlate with age, as well as genes that share common expression patterns and that possibly participate in common cellular mechanisms related to the emergence of schizophrenia in early adult life. The expression of GRM3 and RGS4 decreased across the entire age range surveyed, while that of PRODH and DARPP-32 was shown to increase with age. NRG1, ERBB3, and NGFR show expression changes during the years of greatest risk for the development of schizophrenia. Expression of FEZ1, GAD1, and RGS4 showed especially high correlation with one another, in addition to the strongest mean levels of absolute correlation with all other genes studied here. Keywords: postmortem human brain collection Supplementary files: Gene expression measures in Matrix1379Normalized.txt include all data from the 1379 probes on the arrays, and are NOT adjusted for PMI, brain pH, and RIN, and are NOT averaged over multiple probes within genes. Raw data are located in Raw_1241842_gene_probe_profile.txt. We have used custom DNA microarrays to investigate gene expression in the normal human brain. Expression was measured in Brodmann's area 10 (BA10) in the prefrontal cortex of 72 postmortem brain samples spanning half a century of human aging (18-67 years), each without history of neuropsychiatric illness, neurological disease, or drug abuse.
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Project description:RNA-Seq analysis of post-mortem tissue from DLPFC of 19 schizophrenia patients and 19 controls.
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Project description:A large portion of common variant loci associated with genetic risk for schizophrenia reside within non-coding sequence of unknown function. Here, we demonstrate promoter and enhancer enrichment in schizophrenia variants associated with expression quantitative trait loci (eQTL). The enrichment is greater when functional annotations derived from human brain are used relative to peripheral tissues. Regulatory trait concordance analysis ranked genes within schizophrenia genome-wide significant loci, based on co-localization of a risk SNP, eQTL and regulatory element sequence. These include physical interactions of non-contiguous gene-proximal and distal elements bypassing the linear genome, which was verified in prefrontal cortex and human induced pluripotent stem cell derived neurons for the L-type calcium channel (CACNA1C) risk locus. Our findings point to a functional link between schizophrenia-associated non-coding SNPs and 3-dimensional genome architecture associated with chromosomal loopings and transcriptional regulation in the brain. Examination of H3K4me3 histone modifications in 3 samples.
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