Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer's Disease

Quarato, Veronica, D'Antona, Salvatore, Battista, Petronilla, Zupo, Roberta, Sardone, Rodolfo ORCID: 0000-0003-1383-1850, Castiglioni, Isabella, Porro, Danilo, Frasca, Marco and Cava, Claudia (2022) Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer's Disease. APPLIED SCIENCES-BASEL, 12 (10). p. 5035.

Access the full-text of this item by clicking on the Open Access link.

Official URL: http://dx.doi.org/10.3390/app12105035

Abstract

<jats:p>Alzheimer’s disease (AD) is a neurodegenerative disease characterized by rapid brain cell degeneration affecting different areas of the brain. Hippocampus is one of the earliest involved brain regions in the disease. Modern technologies based on high-throughput data have identified transcriptional profiling of several neurological diseases, including AD, for a better comprehension of genetic mechanisms of the disease. In this study, we investigated differentially expressed genes (DEGs) from six Gene Expression Omnibus (GEO) datasets of hippocampus of AD patients. The identified DEGs were submitted to Weighted correlation network analysis (WGCNA) and ClueGo to explore genes with a higher degree centrality and to comprehend their biological role. Subsequently, MCODE was used to identify subnetworks of interconnected DEGs. Our study found 40 down-regulated genes and 36 up-regulated genes as consensus DEGs. Analysis of the co-expression network revealed ACOT7, ATP8A2, CDC42, GAD1, GOT1, INA, NCALD, and WWTR1 to be genes with a higher degree centrality. ClueGO revealed the pathways that were mainly enriched, such as clathrin coat assembly, synaptic vesicle endocytosis, and DNA damage response signal transduction by p53 class mediator. In addition, we found a subnetwork of 12 interconnected genes (AMPH, CA10, CALY, NEFL, SNAP25, SNAP91, SNCB, STMN2, SV2B, SYN2, SYT1, and SYT13). Only CA10 and CALY are targets of known drugs while the others could be potential novel drug targets.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	Alzheimer's disease, bioinformatics, co-expression
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences
Depositing User:	Symplectic Admin
Date Deposited:	09 Nov 2022 12:07
Last Modified:	15 Mar 2024 18:36
DOI:	10.3390/app12105035
Open Access URL:	https://doi.org/10.3390/app12105035
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3166100