Revealing genome-wide mRNA and microRNA expression patterns in leukemic cells highlighted “hsa-miR-2278” as a tumor suppressor for regain of chemotherapeutic imatinib response due to targeting STAT5A

BCR-ABL oncoprotein stimulates cell proliferation and inhibits apoptosis in chronic myeloid leukemia (CML). For cure, imatinib is a widely used tyrosine kinase inhibitor, but developing chemotherapeutic resistance has to be overcome. In this study, we aimed to determine differing genome-wide microRNA (miRNA) and messenger RNA (mRNA) expression profiles in imatinib resistant (K562/IMA-3 μM) and parental cells by targeting STAT5A via small interfering RNA (siRNA) applications. After determining possible therapeutic miRNAs, we aimed to check their effects upon cell viability and proliferation, apoptosis, and find a possible miRNA::mRNA interaction to discover the molecular basis of imatinib resistance. We detected that miR-2278 and miR-1245b-3p were most significantly regulated miRNAs according to miRNome array. Upregulating miR-2278 expression resulted in the inhibition of resistant leukemic cell proliferation and induced apoptosis, whereas miR-1245b-3p did not exhibit therapeutic results. Functional analyses indicated that AKT2, STAM2, and STAT5A mRNAs were functional targets for miR-2278 as mimic transfection decreased their expressions both at transcriptional and translational level, thus highlighting miR-2278 as a tumor suppressor. This study provides new insights in discovering the mechanism of imatinib resistance due to upregulating the tumor-suppressor hsa-miR-2278 which stands for a functional therapeutic approach, inhibited leukemic cell proliferation, induced apoptosis, and regain of chemotherapeutic drug response in CML therapy. © 2015, International Society of Oncology and BioMarkers (ISOBM).Ege University Research Fund (APAK 2013-TIP/083

A Systems Model of Phosphorylation for Inflammatory Signaling Events

Phosphorylation is a fundamental biochemical reaction that modulates protein activity in cells. While a single phosphorylation event is relatively easy to understand, multisite phosphorylation requires systems approaches for deeper elucidation of the underlying molecular mechanisms. In this paper we develop a mechanistic model for single- and multi-site phosphorylation. The proposed model is compared with previously reported studies. We compare the predictions of our model with experiments published in the literature in the context of inflammatory signaling events in order to provide a mechanistic description of the multisite phosphorylation-mediated regulation of Signal Transducer and Activator of Transcription 3 (STAT3) and Interferon Regulatory Factor 5 (IRF-5) proteins. The presented model makes crucial predictions for transcription factor phosphorylation events in the immune system. The model proposes potential mechanisms for T cell phenotype switching and production of cytokines. This study also provides a generic framework for the better understanding of a large number of multisite phosphorylation-regulated biochemical circuits