Albany 2015:Book of Abstracts
June 9-13 2015
©Adenine Press (2012)
Pathway Enrichment Analysis of Acute Myeloid Leukemia Pathogenesis: A Focus on JAK-STAT signalling pathway
Acute myeloid leukemia (AML) is a heterogeneous disease which involves a vast number of genes along with multiple biological factors including aberrant signal transduction pathways, micro-environmental interactions etc. JAK-STAT (Janus associated kinase-signal transducer and activator of transcription) pathway is one of the critical intracellular signalling cascades whose deregulation has increasingly been implicated in the pathogenesis of AML, however, disease etiology is still not completely known. Therefore, in present study, we aimed to conduct pathway enrichment analysis specific to JAK-STAT signalling pathway for all the genes associated with AML. Gene list associated with AML disease was extracted from the DisGeNET database which contains 381056 associations, between 16666 genes and 13172 diseases. Further, pathway enrichment analysis was carried out with special focus on the JAK-STAT signalling pathway at False Display Rate (FDR) < 0.001 with the help of Reactome FI Cytoscape Plugin, and genes found to be involved in the JAK-STAT pathway was further classified on the basis of PANTHER (Protein ANalysis THrough Evolutionary Relationships) classification system. A total of 1392 genes were found to be associated with AML disease, however, in pathway enrichment analysis, only 57 genes were observed to be correlated with the disease. Further, the genes/protein products were then classified into eight different groups on the basis of their protein function viz. signalling molecule; enzyme including hydrolase, ligase, phosphatase, transferase, receptor protein; nucleic acid binding protein; enzyme modulator; transcription factor; defence-immunity protein; and transfer carrier protein. A gene-gene interaction network of identified 57 genes was analyzed in the light of JAK-STAT signalling pathway for pathogenesis of AML. Comprehensive pathway enrichment analysis suggested biological relationships among identified genes of various categories and also allowed identifying new genes, which can possibly be involved in AML pathogenesis and further also can be drug target for therapeutics.
1 MTA Infotech