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      MicroRNA-18a-5p regulates the Warburg effect by targeting hypoxia-inducible factor 1α in the K562/ADM cell line

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          Abstract

          The Warburg effect is involved in drug resistance and recurrence of cancer, and poses a challenge for the treatment of chronic myelogenous leukemia (CML). Hypoxia-inducible factor 1α (HIF-1α) plays a key role in the Warburg effect. microRNAs (miRs) targeting HIF-1α have potential of regulating such aberrant metabolic process. The present study demonstrated that miR-18a-5p was expressed at a low level in K562/ADM cells via reverse transcription-quantitative PCR (RT-qPCR). The results of the luciferase reporter assay indicated that miR-18a-5p could specifically bind the 3'-untranslated region of HIF-1α. Through RT-qPCR and western blotting, it was revealed that miR-18a-5p downregulated the expression of HIF-1α. By inhibiting HIF-1α, miR-18a-5p suppressed aerobic glycolysis in K562/ADM cells, according to the results produced by glucose uptake, lactate production, pyruvate level and ATP synthesis measurement, along with the results obtained from extracellular acidification rate and oxygen consumption rate assays. These results provided new evidence that miR-18a-5p may suppress the Warburg effect by targeting HIF-1α. Furthermore, via CCK-8 and flow cytometry assays, cells transfected with miR-18a-5p mimics were more sensitive to Adriamycin (AMD) compared with AMD group. Reversing the Warburg effect by miR-30a-5p might provide a potential therapeutic strategy for CML.

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            Hallmarks of Cancer: The Next Generation

            The hallmarks of cancer comprise six biological capabilities acquired during the multistep development of human tumors. The hallmarks constitute an organizing principle for rationalizing the complexities of neoplastic disease. They include sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis. Underlying these hallmarks are genome instability, which generates the genetic diversity that expedites their acquisition, and inflammation, which fosters multiple hallmark functions. Conceptual progress in the last decade has added two emerging hallmarks of potential generality to this list-reprogramming of energy metabolism and evading immune destruction. In addition to cancer cells, tumors exhibit another dimension of complexity: they contain a repertoire of recruited, ostensibly normal cells that contribute to the acquisition of hallmark traits by creating the "tumor microenvironment." Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer. Copyright © 2011 Elsevier Inc. All rights reserved.
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              Predicting effective microRNA target sites in mammalian mRNAs

              MicroRNA targets are often recognized through pairing between the miRNA seed region and complementary sites within target mRNAs, but not all of these canonical sites are equally effective, and both computational and in vivo UV-crosslinking approaches suggest that many mRNAs are targeted through non-canonical interactions. Here, we show that recently reported non-canonical sites do not mediate repression despite binding the miRNA, which indicates that the vast majority of functional sites are canonical. Accordingly, we developed an improved quantitative model of canonical targeting, using a compendium of experimental datasets that we pre-processed to minimize confounding biases. This model, which considers site type and another 14 features to predict the most effectively targeted mRNAs, performed significantly better than existing models and was as informative as the best high-throughput in vivo crosslinking approaches. It drives the latest version of TargetScan (v7.0; targetscan.org), thereby providing a valuable resource for placing miRNAs into gene-regulatory networks. DOI: http://dx.doi.org/10.7554/eLife.05005.001
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                Author and article information

                Journal
                Exp Ther Med
                Exp Ther Med
                ETM
                Experimental and Therapeutic Medicine
                D.A. Spandidos
                1792-0981
                1792-1015
                October 2021
                28 July 2021
                28 July 2021
                : 22
                : 4
                : 1069
                Affiliations
                [1 ]Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
                [2 ]Yunnan Key Laboratory of Laboratory Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
                [3 ]Yunnan Innovation Team of Clinical Laboratory and Diagnosis, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
                [4 ]Department of Hematology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
                [5 ]Hematology Research Center of Yunnan Province, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
                Author notes
                Correspondence to: Professor Yun Zeng, Department of Hematology, The First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, Yunnan 650032, P.R. China zengyun_fyy@ 123456sina.com

                Professor Kun Wu, Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, Yunnan 650032, P.R. China wukunnana@ 123456sina.com

                Article
                ETM-0-0-10503
                10.3892/etm.2021.10503
                8355681
                34447462
                7f2f80e2-5dac-431c-be0d-152b05b24de1
                Copyright: © Wu et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

                History
                : 22 March 2020
                : 02 February 2021
                Funding
                Funding: The present study was supported by the Joint Special Fund of Yunnan Province (grant no. 2017FE468), and Health Science and Technology Program of Yunnan Province (grant nos. 2016NS047 and 2018NS0129).
                Categories
                Articles

                Medicine
                microrna-18a-5,hypoxia-inducible factor 1α,chronic myelogenous leukemia
                Medicine
                microrna-18a-5, hypoxia-inducible factor 1α, chronic myelogenous leukemia

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