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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
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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