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      Inhibitory effect of sodium butyrate on colorectal cancer cells and construction of the related molecular network

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          Abstract

          Background

          Sodium butyrate (NaB) is produced through the fermentation of dietary fiber that is not absorbed and digested by the small intestine.

          Purpose

          Here, we aimed to investigate the effects of NaB on the proliferation, invasion, and metastasis of CRC cells and their potential underlying molecular mechanism(s).

          Methods

          The cell counting kit-8 (CCK-8) assay and EdU assay were used to detect cell proliferation ability, flow cytometry was used to investigate the induction of apoptosis and cell cycle progression, and the scratch-wound healing and transwell assays were used to evaluate cell migration and invasion, respectively. The human CRC genome information for tissues and CRC cells treated with NaB obtained from the NCBI GEO database was reannotated and used for differential RNA analysis. Functional and pathway enrichment analyses were performed for differentially expressed lncRNAs and mRNAs. A protein-protein interaction (PPI) network for the hub genes was constructed using the Cytoscape software. Targeted miRNAs were predicted based on the lnCeDB database, and a ceRNA network was constructed using the Cytoscape software. The Kaplan-Meier method was used to analyze patient prognosis using the clinical information and exon-seq data for CRC obtained from the Broad Institute’s GDAC Firehose platform.

          Results

          NaB decreased the proliferation ability of CRC cells in a dose- and time-dependent manner. The number of apoptotic CRC cells increased with the increase in NaB concentrations, and NaB induced a G1 phase block in CRC cells. Moreover, NaB suppressed the migratory and invasive capabilities of CRC cells. There were 666 differentially expressed mRNAs and 30 differentially expressed lncRNAs involved in the CRC inhibition by NaB. The PPI network and ceRNA network were constructed based on the differentially expressed mRNAs and lncRNAs. Three differentially expressed mRNAs, including HMGA2, LOXL2, and ST7, were significantly correlated with the prognosis of CRC.

          Conclusion

          NaB induces the apoptosis and inhibition of CRC cell proliferation, invasion, and metastasis by modulating complex molecular networks. RNA prediction and molecular network construction need to be the focus of further research in this direction.

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          Most cited references36

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          Cytoscape: a software environment for integrated models of biomolecular interaction networks.

          Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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            clusterProfiler: an R package for comparing biological themes among gene clusters.

            Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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              KEGG: kyoto encyclopedia of genes and genomes.

              M Kanehisa (2000)
              KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www. genome.ad.jp/kegg/).
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                Author and article information

                Contributors
                yangxi0601@hotmail.com
                zhuangjing0721@163.com
                hchwuwei2018@126.com
                hzzhangchun@hotmail.com
                loveshohoo@163.com
                zhouqing20182018@163.com
                xjm996996@163.com
                shuwenhan985@163.com
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                6 February 2021
                6 February 2021
                2021
                : 21
                : 127
                Affiliations
                [1 ]GRID grid.413679.e, ISNI 0000 0004 0517 0981, Department of Oncology, , Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, ; No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000 Zhejiang Province China
                [2 ]GRID grid.411440.4, ISNI 0000 0001 0238 8414, Graduate School of Nursing, Huzhou university, ; No. 1 Bachelor Road, Huzhou, 313000 Zhejiang Province China
                [3 ]GRID grid.413679.e, ISNI 0000 0004 0517 0981, Department of Gastroenterology, , Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, ; No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000 Zhejiang Province China
                [4 ]GRID grid.413679.e, ISNI 0000 0004 0517 0981, Department of Infectious Disease, , Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, ; No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000 Zhejiang Province China
                [5 ]GRID grid.413679.e, ISNI 0000 0004 0517 0981, Department of Nursing, , Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, ; No.1558, Sanhuan North Road, Wuxing District, Huzhou, 313000 Zhejiang Province China
                Article
                7845
                10.1186/s12885-021-07845-1
                7866666
                33549042
                c2b1a494-2486-44e5-9cdb-654ea2d5dd53
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 7 November 2019
                : 26 January 2021
                Funding
                Funded by: Zhejiang Science and Technology Projects
                Award ID: No. Q20H160001
                Award Recipient :
                Funded by: Zhejiang Medical and Health Technology Projects
                Award ID: 2020RC117
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Oncology & Radiotherapy
                sodium butyrate; colorectal cancer; molecular network; apoptosis; cerna

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