Altered Expression of a Unique Set of Genes Reveals Complex Etiology of Schizophrenia.

Abstract

Background: The etiology of schizophrenia is extensively debated, and multiple factors have been contended to be involved. A panoramic view of the contributing factors in a genome-wide study can be an effective strategy to provide a comprehensive understanding of its causality. Materials and Methods: GSE53987 dataset downloaded from GEO-database, which comprised mRNA expression data of post-mortem brain tissue across three regions from control (C) and age-matched subjects (T) of schizophrenia (N = Hippocampus [HIP]: C-15, T-18, Prefrontal cortex [PFC]: C-15, T-19, Associative striatum [STR]: C-18, T-18). Bio-conductor-affy-package used to compute mRNA expression, and further t-test applied to investigate differential gene expression. The analysis of the derived genes performed using the PANTHER Classification System and NCBI database. Further, a protein interactome analysis of the derived gene set was performed using STRING v10 database (https://string-db.org/) Results: A set of 40 genes showed significantly altered (p < 0.01) expression across all three brain regions. The analyses unraveled genes implicated in biological processes and events, and molecular pathways relating basic neuronal functions. Conclusions: The aberrant expression of genes maintaining basic cell machinery explains compromised neuronal processing in SCZ.

• Authors: Ashutosh Kumar, Vikas Pareek, Himanshu N Singh, Muneeb A Faiq, Ravi K Narayan, Khursheed Raza, Pavan Kumar
• Journal: Frontiers in psychiatry (Front Psychiatry) Vol. 10 Pg. 906 ( 2019) ISSN: 1664-0640 [Print] Switzerland
• PMID: 31920755 (Publication Type: Journal Article)
• Copyright: Copyright © 2019 Kumar, Pareek, Singh, Faiq, Narayan, Raza and Kumar.