International Journal of Bioinformatics and Computational Biology  
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KAZN/KIAA1026 Gene Is Upregulated in Three Neurodegenerative Diseases
International Journal of Bioinformatics and Computational Biology
Vol.3 , No. 1, Publication Date: Sep. 3, 2018, Page: 28-33
2309 Views Since September 3, 2018, 439 Downloads Since Sep. 3, 2018
 
 
Authors
 
[1]    

Alexander Arman Serpen, Natural Sciences Department, Southview HS, Sylvania, USA.

 
Abstract
 

Neurodegenerative diseases are incurable conditions that occur in the central nervous system and are characterized by a progressive death of neural cells with multiple known and unknown causes. The three that were analyzed in this study were Alzheimer’s disease, Parkinson’s disease, and Amyotrophic Lateral Sclerosis. Gene expression data from 59 post-mortem brain samples out of an extensive cohort of 113 patients from the NCBI GEO Database provided the basis for this gene expression comparison. The NCBI GEO2R tool was used to find the genes with significant differential expression and accordingly identified 19 such genes at p<0.05, with 4 of them being commonly upregulated: KAZN/KIAA1026, PLA2G7, ALOX15B, and PLEKHM1. StringTM, an online gene interaction database on the public domain, was used to map out any possible connections between them. Although no straightforward interactions/connections were found with StringTM, KAZN was identified in previous studies to have an interaction with an ataxia-causing protein. Furthermore, some isoforms of KAZN are known to interact with microtubules, a cytoskeletal component known to lead to neurodegeneration when dysfunctional. This gene may provide further insight into the pathogenesis of neurodegenerative diseases and act as a potential therapeutic target due to its potential role in the dysfunction of the neural cytoskeleton and its already established place in the protein-protein interaction network of ataxia-causing diseases.


Keywords
 

Neurodegenerative Diseases, Gene Expression, Therapeutic Target, KAZN/KIAA1026 Gene, NCBI GEO Database, NCBI GEO2R, String


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