IDENTIFICATION OF CORE GENES IN SCHIZOPHRENIATHROUGH BIOINFORMATICS ANALYSIS OF THE GSE21138DATASET

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Feroz Usmani
Ali Maaz
Tehseen Raza
Muhammad Usman Khan
Amir Sohail
Talha Aziz Dhillon
Abdul Haseeb
Abdul Manaf
Muhammad Zohaib Rehman
Maria Ghafoor

Keywords

Schizophrenia, GSE21138, Hub genes, DEGs

Abstract

Schizophrenia is a complex psychiatric disorder with elusive molecular mechanisms. This study analyzes the GSE21138 dataset to identify differentially expressed genes (DEGs) and construct a protein-protein interaction (PPI) network. Among the top 250 DEGs, several key genes, including DCP2, SPCS2, ATP2A1, and SSTR5, emerged as central hub genes. These hub genes are highly connected within the network, suggesting their pivotal roles in schizophrenia-related pathways. The network organization reveals distinct functional modules, implicating processes like immune response, cell cycle regulation, and signal transduction in the disorder's pathology. Gene enrichment analysis highlights significant associations with cancer-related pathways, such as "Chronic myeloid leukemia" and "P53 signaling pathway," further underscoring the relevance of these DEGs in critical regulatory processes. The identification of these hub genes not only provides new insights into the molecular mechanisms underlying schizophrenia but also suggests potential therapeutic targets and biomarkers. These findings offer a comprehensive view of the disrupted biological processes in schizophrenia, emphasizing the need for further research to explore the functional roles of these hub genes in the context of the disorder.

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