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Identification of candidate lipoxygenase genes using expression data in different disease condition

6th World Congress on Biotechnology

Vijay Kumar Garg1, Vinay Kumar Singh2, Shachi Gahoi1, Rajhans Tyagi3 and Pramod W Ramteke1

1Sam Higginbottom Institute of Agriculture, Technology and Sciences, India 2Banaras Hindu University, India 3G.B. Pant University of Agriculture and Technology, India

Posters-Accepted Abstracts: J Biotechnol Biomater

DOI: 10.4172/2155-952X.C1.044

Abstract
Lipoxygenases (LOXs) are a group of iron containing oxidative enzyme which catalyze the insertion of oxygen into polyunsaturated fatty acids such as arachidonic acid and linoleic acid to a variety of eicosanoids and have a major impact on human homeostasis as a secondary signal transducers. These enzymes are classified as 5, 8, 12 and 15-lipoxygenases on the basis of their selectivity to oxygenate fatty acids in a specific position. In this work, an attempt has been made to investigate expression pattern of reported arachidonic lipoxygenase genes at different levels (cell, tissue and disease). Cell line datasets for specific genes were retrieved from Human Expression Atlas and Human Protein Atlas Databases. Further data were analyzed using Cluster tool with centroid clustering method and visualized using Treeview. The in silico investigation resulted that ALOX5 and ALOX5AP genes were found highly expressed and up-regulated in different sets of data of tissues (example: Brain, breast, colon, heart, kidney, liver etc.), diseases (viz., brain glioma, skin cuteneous melanoma and thyroid carcinoma). All these in silico experiment suggests that out of known LOX members only ALOX5 and ALOX5AP having high expression pattern in different glands (salivary, adrenal, pituitary and prostate gland etc), tissues and tumorogenic disease (glioma, melanoma, carcinoma etc). Based on above it can be concluded that lipoxygenases (ALOX5, ALOX5AP, LOXHD1, ALOX3, ALOX15B, ALOX12 and ALOX12B) are mainly involved in some important diseases like neurodegenerative disorder, inflammation, cancers, cardiovascular, metabolic syndrome and kidney diseases. These identified genes can be used as potential drug target for development of suitable inhibitors for identified diseases.
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