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      Interference with KCNJ2 inhibits proliferation, migration and EMT progression of apillary thyroid carcinoma cells by upregulating GNG2 expression

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          Abstract

          Papillary thyroid carcinoma is a common malignant tumor of the endocrine system. The specific role and molecular mechanism of potassium inwardly rectifying channel subfamily J member 2 (KCNJ2) in papillary thyroid carcinoma remain unknown. In the present study, the underlying mechanism of KCNJ2 in papillary thyroid carcinoma was explored. KCNJ2 expression in thyroid cancer tissues was predicted using the Gene Expression Profiling Interactive Analysis database, and reverse transcription-quantitative PCR and western blot analyses were performed to detect KCNJ2 expression in papillary thyroid carcinoma cell lines. Cell transfection was performed to inhibit KCNJ2 and G protein subunit γ2 (GNG2) expression. In addition, cell proliferation was detected via the colony formation and MTT assays. The wound healing and Transwell assays were performed to assess cell migration and invasion, respectively. Western blot analysis was performed to detect the expression levels of transport-related proteins and interstitial related proteins. The StarBase database was used to detect GNG2 expression in thyroid cancer. The results demonstrated that KCNJ2 expression was upregulated in papillary thyroid carcinoma cells. In addition, interfering with KCNJ2 expression inhibited the proliferation, invasion and migration of papillary thyroid carcinoma cells, and inhibited the epithelial-to-mesenchymal transition (EMT). These processes may be influenced by the upregulation of GNG2 expression induced by KCNJ2 knockdown. Overall, the results of the present study demonstrated that interference with KCNJ2 inhibited proliferation, migration and EMT progression of papillary thyroid carcinoma cells by upregulating GNG2 expression.

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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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            GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

            Abstract Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.
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              starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein–RNA interaction networks from large-scale CLIP-Seq data

              Although microRNAs (miRNAs), other non-coding RNAs (ncRNAs) (e.g. lncRNAs, pseudogenes and circRNAs) and competing endogenous RNAs (ceRNAs) have been implicated in cell-fate determination and in various human diseases, surprisingly little is known about the regulatory interaction networks among the multiple classes of RNAs. In this study, we developed starBase v2.0 (http://starbase.sysu.edu.cn/) to systematically identify the RNA–RNA and protein–RNA interaction networks from 108 CLIP-Seq (PAR-CLIP, HITS-CLIP, iCLIP, CLASH) data sets generated by 37 independent studies. By analyzing millions of RNA-binding protein binding sites, we identified ∼9000 miRNA-circRNA, 16 000 miRNA-pseudogene and 285 000 protein–RNA regulatory relationships. Moreover, starBase v2.0 has been updated to provide the most comprehensive CLIP-Seq experimentally supported miRNA-mRNA and miRNA-lncRNA interaction networks to date. We identified ∼10 000 ceRNA pairs from CLIP-supported miRNA target sites. By combining 13 functional genomic annotations, we developed miRFunction and ceRNAFunction web servers to predict the function of miRNAs and other ncRNAs from the miRNA-mediated regulatory networks. Finally, we developed interactive web implementations to provide visualization, analysis and downloading of the aforementioned large-scale data sets. This study will greatly expand our understanding of ncRNA functions and their coordinated regulatory networks.
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                Author and article information

                Journal
                Mol Med Rep
                Mol Med Rep
                Molecular Medicine Reports
                D.A. Spandidos
                1791-2997
                1791-3004
                September 2021
                30 June 2021
                30 June 2021
                : 24
                : 3
                : 622
                Affiliations
                [1 ]The First Department of General Surgery, Affiliated Dongguan People's Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, Guangdong 523059, P.R. China
                [2 ]Department of Otolaryngology, Affiliated Dongguan People's Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, Guangdong 523059, P.R. China
                Author notes
                Correspondence to: Professor Xiarong Hu, The First Department of General Surgery, Affiliated Dongguan People's Hospital, Southern Medical University (Dongguan People's Hospital), 3 Wan Dao Road South, Dongguan, Guangdong 523059, P.R. China, E-mail: huxiarong2020@ 123456163.com
                Article
                MMR-0-0-12261
                10.3892/mmr.2021.12261
                8261621
                34212982
                186a8aea-3a83-42de-a6d2-19c43e8870e0
                Copyright: © Chen 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
                : 10 October 2020
                : 15 February 2021
                Categories
                Articles

                potassium inwardly rectifying channel subfamily j member 2,papillary thyroid carcinoma,g protein subunit γ2,proliferation,migration,epithelial-to-mesenchymal transition

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