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      Gene expression profiling analysis contributes to understanding the association between non-syndromic cleft lip and palate, and cancer

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          Abstract

          The present study aimed to investigate the molecular mechanisms underlying non-syndromic cleft lip, with or without cleft palate (NSCL/P), and the association between this disease and cancer. The GSE42589 data set was downloaded from the Gene Expression Omnibus database, and contained seven dental pulp stem cell samples from children with NSCL/P in the exfoliation period, and six controls. Differentially expressed genes (DEGs) were screened using the RankProd method, and their potential functions were revealed by pathway enrichment analysis and construction of a pathway interaction network. Subsequently, cancer genes were obtained from six cancer databases, and the cancer-associated protein-protein interaction network for the DEGs was visualized using Cytoscape. In total, 452 upregulated and 1,288 downregulated DEGs were screened. The upregulated DEGs were significantly enriched in the arachidonic acid metabolism pathway, including PTGDS, CYP4F2 and PLA2G16; and transforming growth factor (TGF)-β signaling pathway, including SMAD3 and TGFB2. The downregulated DEGs were distinctly involved in the pathways of DNA replication, including MCM2 and POLA1; cell cycle, including CDK1 and STAG1; and viral carcinogenesis, including PIK3CA and HIST1H2BF. Furthermore, the pathways of cell cycle and viral carcinogenesis, with higher degrees of interaction were found to interact with other pathways, including DNA replication, transcriptional misregulation in cancer, and the TGF-β signaling pathway. Additionally, TP53, CDK1, SMAD3, PIK3R1 and CASP3, with higher degrees, interacted with the cancer genes. In conclusion, the DEGs for NSCL/P were implicated predominantly in the TGF-β signaling pathway, the cell cycle and in viral carcinogenesis. The TP53, CDK1, SMAD3, PIK3R1 and CASP3 genes were found to be associated, not only with NSCL/P, but also with cancer. These results may contribute to a better understanding of the molecular mechanisms of NSCL/P.

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          Most cited references45

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Cytoscape: software for visualization and analysis of biological networks.

            Substantial progress has been made in the field of "omics" research (e.g., Genomics, Transcriptomics, Proteomics, and Metabolomics), leading to a vast amount of biological data. In order to represent large biological data sets in an easily interpretable manner, this information is frequently visualized as graphs, i.e., a set of nodes and edges. Nodes are representations of biological molecules and edges connect the nodes depicting some kind of relationship. Obviously, there is a high demand for computer-based assistance for both visualization and analysis of biological data, which are often heterogeneous and retrieved from different sources. This chapter focuses on software tools that assist in visual exploration and analysis of biological networks. Global requirements for such programs are discussed. Utilization of visualization software is exemplified using the widely used Cytoscape tool. Additional information about the use of Cytoscape is provided in the Notes section. Furthermore, special features of alternative software tools are highlighted in order to assist researchers in the choice of an adequate program for their specific requirements.
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              RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis.

              While meta-analysis provides a powerful tool for analyzing microarray experiments by combining data from multiple studies, it presents unique computational challenges. The Bioconductor package RankProd provides a new and intuitive tool for this purpose in detecting differentially expressed genes under two experimental conditions. The package modifies and extends the rank product method proposed by Breitling et al., [(2004) FEBS Lett., 573, 83-92] to integrate multiple microarray studies from different laboratories and/or platforms. It offers several advantages over t-test based methods and accepts pre-processed expression datasets produced from a wide variety of platforms. The significance of the detection is assessed by a non-parametric permutation test, and the associated P-value and false discovery rate (FDR) are included in the output alongside the genes that are detected by user-defined criteria. A visualization plot is provided to view actual expression levels for each gene with estimated significance measurements. RankProd is available at Bioconductor http://www.bioconductor.org. A web-based interface will soon be available at http://cactus.salk.edu/RankProd
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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
                March 2016
                20 January 2016
                20 January 2016
                : 13
                : 3
                : 2110-2116
                Affiliations
                Department of Plastic Surgery, General Hospital of Shenyang Military Area Command, PLA, Shenyang, Liaoning 110016, P.R. China
                Author notes
                Correspondence to: Dr Kai Tao, Department of Plastic Surgery, General Hospital of Shenyang Military Area Command, PLA, 83 Wenhua Road, Shenhe, Shenyang, Liaoning 110016, P.R. China, E-mail: kaitaotaoao@ 123456163.com
                Article
                mmr-13-03-2110
                10.3892/mmr.2016.4802
                4768957
                26795696
                7d25b509-7687-4d4c-988a-53363e209c50
                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
                : 10 March 2015
                : 18 December 2015
                Categories
                Articles

                non-syndromic cleft lip and palate,cancer,differentially expressed genes,pathway,interaction network

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