2020
DOI: 10.3389/fcell.2019.00359
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Time-Course Transcriptome Analysis of Gingiva-Derived Mesenchymal Stem Cells Reveals That Fusobacterium nucleatum Triggers Oncogene Expression in the Process of Cell Differentiation

Abstract: Fusobacterium nucleatum has pathogenic effects on oral squamous cell carcinoma and colon cancer, while the effects of continuously altered gene expression in normal human cells, as induced by persistent exposure to F. nucleatum, remain unclear. In this study, a microarray Significant Profiles (maSigPro) analysis was used to obtain the transcriptome profile of gingiva-derived mesenchymal stem cells (GMSCs) stimulated by F. nucleatum for 3, 7, 14, and 21 day, and the results revealed 790 (nine clusters) differen… Show more

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Cited by 17 publications
(10 citation statements)
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“…However, there is still a lack of genes or biomarkers that can be used to clearly distinguish the various stages after injury and for monitoring the continuous and dynamic biological processes. Using next-generation sequencing technology and time-series algorithms, many studies have conducted systematic and transcriptional dynamics analyses to understand the timedependent progressive development of physiological processes and time-dependent gene expression in biological processes, such as those involved in transcriptional variation in skin wound healing (Theocharidis et al, 2020), changes in transcription profiles during healing after fractures (Coates et al, 2019), changes in transcriptional dynamics during oral and liver tumor progression (Jee et al, 2019;Kang et al, 2019), and changes in the transcriptome during organ and tissue development (Zhu et al, 2018). In this study based on next-generation sequencing, we used WGCNA co-expression module analysis, STEM and maSigPro time-related algorithms, and PPI network analysis to clarify the characteristics of multi-level biological processes and transcriptional dynamics after SMI.…”
Section: Discussionmentioning
confidence: 99%
“…However, there is still a lack of genes or biomarkers that can be used to clearly distinguish the various stages after injury and for monitoring the continuous and dynamic biological processes. Using next-generation sequencing technology and time-series algorithms, many studies have conducted systematic and transcriptional dynamics analyses to understand the timedependent progressive development of physiological processes and time-dependent gene expression in biological processes, such as those involved in transcriptional variation in skin wound healing (Theocharidis et al, 2020), changes in transcription profiles during healing after fractures (Coates et al, 2019), changes in transcriptional dynamics during oral and liver tumor progression (Jee et al, 2019;Kang et al, 2019), and changes in the transcriptome during organ and tissue development (Zhu et al, 2018). In this study based on next-generation sequencing, we used WGCNA co-expression module analysis, STEM and maSigPro time-related algorithms, and PPI network analysis to clarify the characteristics of multi-level biological processes and transcriptional dynamics after SMI.…”
Section: Discussionmentioning
confidence: 99%
“…Chitinase 3-like protein 2 (CHI3L2), a glycosyl hydrolase family member, encodes a protein similar to bacterial chitinase but lacking chitinase activity. Upregulation of CHI3L2 could increase the phosphorylation level of ERK1 and ERK2, thus inhibiting tumor cell mitosis and proliferation in glial cell tumors [ 33 , 34 ]. FYN Binding Protein 1 (FYB1) also is known as adhesion and degranulation-promoting adapter protein (ADAP).…”
Section: Discussionmentioning
confidence: 99%
“…Chronic infection and the interaction of cell surface molecules on these bacteria with the inflammatory and immune systems are important carcinogenesis mechanisms of F. nucleatum ( Gholizadeh et al, 2017 ). F. nucleatum was reported to trigger oncogene expression in the process of gingiva-derived mesenchymal stem cell differentiation ( Kang et al, 2020 ). CYP1B1 is an enzyme associated with angiogenesis that was found to be overexpressed in a wide variety of tumors ( D’Uva et al, 2018 ).…”
Section: Discussionmentioning
confidence: 99%