Analyzing Microarray Data of Alzheimers Using Cluster Analysis to Identify the Biomarker GenesReport as inadecuate




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International Journal of Alzheimer-s DiseaseVolume 2012 2012, Article ID 649456, 5 pages

Review Article

Department of Biotechnology, Al-Ameer College of Engineering & IT, Andhra Pradesh, Visakhapatnam 531173, India

Jawaharlal Nehru Technological University, Andhra Pradesh, Kakinada 533003, India

Endocrine & Diabetes Centre, Andhra Pradesh, Visakhapatnam 530002, India

Received 30 August 2011; Revised 11 November 2011; Accepted 28 November 2011

Academic Editor: Michal Novák

Copyright © 2012 Satya vani Guttula et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Alzheimer is characterized by the presence of senile plaques and neurofibrillary tangles in cortical regions of the brain. The experimental data is taken from Gene Expression Omnibus. A hierarchical Cluster analysis and TreeView were performed to group genes on the basis of the expression pattern. The dynamic change of expression over time and diverse patterns of expression support the concept of a complex local milieu. TreeView allows the organized data to be visualized. List of 24 genes were obtained which showed high expression levels. Three genes, SORL1, APP, and APOE, are suspected to cause Alzheimer’s whereas the other 21 genes are related to other diseases but may also be found to be associated with Alzheimer’s, and these are TMEM59, CCT4, IGF2R, SFPQ, PRDX3, RNF14, IDS, SSBP1, SYNE2, TXNL4A, STXBP3, SMARCB1, ULK2, AGTPBP1, FABP7, CALB1, H2AFY, COPA, SAP18, ATIC and SYNCRIP.





Author: Satya vani Guttula, Apparao Allam, and R. Sridhar Gumpeny

Source: https://www.hindawi.com/



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