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      MicroRNA-101 inhibits renal tubular epithelial-to-mesenchymal transition by targeting TGF-β1 type I receptor

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          Abstract

          MicroRNAs (miRNAs/miRs) are key regulators of renal interstitial fibrosis (RIF). The present study was designed to identify miRNAs associated with the development of RIF, and to explore the ability of these identified miRNAs to modulate the renal tubular epithelial-to-mesenchymal transition (EMT) process. To this end, miRNAs that were differentially expressed between normal and fibrotic kidneys in a rat model of mercury chloride (HgCl 2)-induced RIF were detected via an array-based approach. Bioinformatics analyses revealed that miR-101 was the miRNA that was most significantly downregulated in the fibrotic renal tissue samples, and this was confirmed by RT-qPCR, which also demonstrated that this miRNA was downregulated in transforming growth factor (TGF)-β1-treated human proximal tubular epithelial (HK-2) cells. When miR-101 was overexpressed, this was sufficient to reverse TGF-β1-induced EMT in HK-2 cells, leading to the upregulation of the epithelial marker, E-cadherin, and the downregulation of the mesenchymal marker, α-smooth muscle actin. By contrast, the downregulation of miR-101 using an inhibitor exerted the opposite effect. The overexpression of miR-101 also suppressed the expression of the miR-101 target gene, TGF-β1 type I receptor (TβR-I), and thereby impaired TGF-β1/Smad3 signaling, while the opposite was observed upon miR-101 inhibition. To further confirm the ability of miR-101 to modulate EMT, the HK-2 cells were treated with the TβR-I inhibitor, SB-431542, which significantly suppressed TGF-β1-induced EMT in these cells. Notably, miR-101 inhibition exerted a less pronounced effect upon EMT-related phenotypes in these TβR-I inhibitor-treated HK-2 cells, supporting a model wherein miR-101 inhibits TGF-β1-induced EMT by suppressing TβR-I expression. On the whole, the present study demonstrates that miR-101 is capable of inhibiting TGF-β1-induced tubular EMT by targeting TβR-I, suggesting that it may be an important regulator of RIF.

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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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            The problem of identifying differentially expressed genes in designed microarray experiments is considered. Lonnstedt and Speed (2002) derived an expression for the posterior odds of differential expression in a replicated two-color experiment using a simple hierarchical parametric model. The purpose of this paper is to develop the hierarchical model of Lonnstedt and Speed (2002) into a practical approach for general microarray experiments with arbitrary numbers of treatments and RNA samples. The model is reset in the context of general linear models with arbitrary coefficients and contrasts of interest. The approach applies equally well to both single channel and two color microarray experiments. Consistent, closed form estimators are derived for the hyperparameters in the model. The estimators proposed have robust behavior even for small numbers of arrays and allow for incomplete data arising from spot filtering or spot quality weights. The posterior odds statistic is reformulated in terms of a moderated t-statistic in which posterior residual standard deviations are used in place of ordinary standard deviations. The empirical Bayes approach is equivalent to shrinkage of the estimated sample variances towards a pooled estimate, resulting in far more stable inference when the number of arrays is small. The use of moderated t-statistics has the advantage over the posterior odds that the number of hyperparameters which need to estimated is reduced; in particular, knowledge of the non-null prior for the fold changes are not required. The moderated t-statistic is shown to follow a t-distribution with augmented degrees of freedom. The moderated t inferential approach extends to accommodate tests of composite null hypotheses through the use of moderated F-statistics. The performance of the methods is demonstrated in a simulation study. Results are presented for two publicly available data sets.
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              MicroRNAs: small RNAs with a big role in gene regulation.

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                Author and article information

                Journal
                Int J Mol Med
                Int J Mol Med
                IJMM
                International Journal of Molecular Medicine
                D.A. Spandidos
                1107-3756
                1791-244X
                June 2021
                29 April 2021
                29 April 2021
                : 47
                : 6
                : 119
                Affiliations
                [1 ]Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R. China
                [2 ]E-Institute of Shanghai Municipal Education Committee, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R. China
                [3 ]College of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R. China
                Author notes
                Correspondence to: Dr Chenghai Liu or Dr Ping Liu, Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528 Zhangheng Road, Pudong New Area, Shanghai 201203, P.R. China, E-mail: chenghailiu@ 123456hotmail.com , E-mail: liuliver@ 123456vip.sina.com
                Article
                ijmm-47-06-04952
                10.3892/ijmm.2021.4952
                8099196
                33955520
                c40f72ba-4607-444a-b6d5-b9be4df49ab9
                Copyright: © Wang 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
                : 11 July 2020
                : 30 March 2021
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 81573810
                Award ID: 30901943
                Funded by: China Postdoctoral Science Foundation
                Award ID: 2015T80445
                Funded by: National Science and Technology Major Project 'Key New Drug Creation and Manufacturing Program' of China
                Award ID: 2019ZX09201001
                The present study was supported by the National Natural Science Foundation of China (grant nos. 81573810 and 30901943), the China Postdoctoral Science Foundation (grant no. 2015T80445) and the National Science and Technology Major Project 'Key New Drug Creation and Manufacturing Program' of China (grant no. 2019ZX09201001).
                Categories
                Articles

                microrna-101,tubular epithelial-to-mesenchymal transition,renal interstitial fibrosis,tgf-β1 type i receptor

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