Article ; Online: Transcriptome Analysis of Post-Mortem Brain Tissue Reveals Up-Regulation of the Complement Cascade in a Subgroup of Schizophrenia Patients.
2021 Volume 12, Issue 8
Abstract: Schizophrenia is a genetically complex neuropsychiatric disorder with largely unresolved mechanisms of pathology. Identification of genes and pathways associated with schizophrenia is important for understanding the development, progression and treatment ...
Abstract | Schizophrenia is a genetically complex neuropsychiatric disorder with largely unresolved mechanisms of pathology. Identification of genes and pathways associated with schizophrenia is important for understanding the development, progression and treatment of schizophrenia. In this study, pathways associated with schizophrenia were explored at the level of gene expression. The study included post-mortem brain tissue samples from 68 schizophrenia patients and 44 age and sex-matched control subjects. Whole transcriptome poly-A selected paired-end RNA sequencing was performed on tissue from the prefrontal cortex and orbitofrontal cortex. RNA expression differences were detected between case and control individuals, focusing both on single genes and pathways. The results were validated with RT-qPCR. Significant differential expression between patient and controls groups was found for 71 genes. Gene ontology analysis of differentially expressed genes revealed an up-regulation of multiple genes in immune response among the patients (corrected |
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MeSH term(s) | Adult ; Aged ; Complement System Proteins/metabolism ; Female ; Gene Expression Profiling ; Gene Ontology ; Humans ; Male ; Middle Aged ; Postmortem Changes ; Schizophrenia/genetics ; Schizophrenia/metabolism ; Schizophrenia/pathology ; Up-Regulation |
Chemical Substances | Complement System Proteins (9007-36-7) |
Language | English |
Publishing date | 2021-08-13 |
Publishing country | Switzerland |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2527218-4 |
ISSN | 2073-4425 ; 2073-4425 |
ISSN (online) | 2073-4425 |
ISSN | 2073-4425 |
DOI | 10.3390/genes12081242 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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