Hypoxia inducible factors (HIFs) are heterodimeric proteins that belong to a small group of transcription factors, which mainly regulates transcription of genes under hypoxic conditions. Particularly, oxygen sensing subunit of HIF-1α is a predominant subtype that heterodimerizes with oxygen-independent HIF-1β subunit, to trigger the transcription of hypoxia responsive genes. Due to poor supply of blood and rapid division of cancerous cells, tumor microenvironment exhibits low oxygen condition and therefore increased levels of HIF-1α. One of the promising therapeutic strategies to cancer is modulation of HIF-1α signaling pathway. Small interfering RNA (siRNA) mediated downregulation of HIF-1α has been reported to prevent growth and progression of various types of cancer and holds great promise in the cancer treatment. In this study, computational approaches were used to design potential siRNAs targeting HIF-1α and investigate their interaction with the human argonaute-2 (hAgo2). Molecular dynamic simulation of HIF-1α siRNAs-hAgo2 complexes revealed key interactions required for the efficient binding of guide strand to hAgo2 protein. Two siRNAs (S2 and S5) exhibiting strong binding with hAgo2 were further considered. Subsequently, we transfected the MCF-7 cell line with both standard HIF-1α and our designed siRNAs (S2 and S5). Following transfection, translation changes in the MCF-7 cells were assessed through western blotting. S2 and S5 efficiently reduced the expression of HIF-1α in hypoxic conditions. The aim of the present study is to understand the siRNA-hAgo2 interaction. It is also focused on the desiging of effective siRNA against HIF-1α.
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