Title |
Gene expression analysis of Schizophrenia |
Authors |
Gunjan Sharma1, Ansh Malik1, Satyendra Tripathi2, 5, Vishwajit Deshmukh 3, 5 & Ashlesh Patil4,5* |
Affiliation |
1AIIMS Nagpur, India; 2Department of Biochemistry AIIMS Nagpur, India; 3Department of Anatomy AIIMS Nagpur, India; 4Department of Physiology AIIMS Nagpur, India; 5Bioinformatics Data Analysis Unit (BDAU), AIIMS, Nagpur, India; *Corresponding author |
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Ashlesh Patil - E -mail: dr.ashlesh.p@gmail.com, dr.ashlesh.p@aiimsnagpur.edu.in Gunjan Sharma- E -mail: gunjanshrma2002@gmail.com Ansh Malik- E -mail: anshmalik1234.am@gmail.com Satyendra Tripathi- E -mail: sctripathi@aiimsnagpur.edu.in Vishwajit Deshmukh - E -mail: vishwajitdeshmukh@aiimsnagpur.edu.in
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Article Type |
Research Article
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Date |
Received October 1, 2024; Revised November 5, 2024; Accepted November 5, 2024, Published November 5, 2024 |
Abstract |
Schizophrenia is a chronic psychiatric disorder marked by cognitive deficits associated with prefrontal cortical dysfunction, particularly in Broadmann Area 10 (BA 10), where gray matter reduction is observed. The genetic mechanisms behind these abnormalities remain unclear. Therefore, it is of interest to analyze altered gene expression and pathways in the prefrontal cortex of schizophrenia patients. We used two GEO datasets - GSE12654 (discovery) and GSE17612 (validation) and differential gene expression was assessed between schizophrenia patients and healthy controls. Validation confirmed three upregulated genes (S100A9, S100A8, BCL2A1) and one downregulated gene (CBLB), with protein interaction analysis revealing that upregulated genes were linked to immune and apoptotic processes, while downregulated genes suppressed EGF pathways. These findings suggest immune dysfunction and gray matter loss in schizophrenia, highlighting potential biomarkers and therapeutic targets. |
Keywords |
Schizophrenia, prefrontal cortex, gene expression, biomarkers, dysfunctional immunity
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Citation |
Sharma et al. Bioinformation 20(11): 1441-1446 (2024)
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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