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  • 1
    In: Stem Cell Research & Therapy, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-12)
    Abstract: Long noncoding RNAs (lncRNAs) play an important role in the multiple differentiations of mesenchymal stem cells (MSCs). However, few studies have focused on the regulatory mechanism of lncRNAs in the odontogenic differentiation of human dental pulp stem cells (hDPSCs). Methods hDPSCs were induced to differentiate into odontoblasts in vitro, and the expression profiles of lncRNAs, microRNAs (miRNAs), and messenger RNAs (mRNAs) in differentiated and undifferentiated cells were obtained by microarray. Bioinformatics analyses including Gene Ontology (GO) analysis, pathway analysis, and binding site prediction were performed for functional annotation of lncRNA. miRNA/odontogenesis-related gene networks and lncRNA-associated ceRNA networks were constructed. Quantitative reverse-transcription polymerase chain reaction (qRT-PCR) was used to verify the expression of selected genes. RNA fluorescence in situ hybridization (FISH), qRT-PCR, and western blot analysis were used to explore the location and function of lncRNA-G043225. Dual-luciferase reporter assay was performed to confirm the binding sites of miR-588 with G043225 and Fibrillin 1 (FBN1). Results We identified 132 lncRNAs, 114 miRNAs, and 172 mRNAs were differentially expressed. GO analysis demonstrated that regulation of the neurogenic locus notch homolog (Notch), Wnt, and epidermal growth factor receptor (ERBB) signaling pathways and activation of mitogen-activated protein kinase (MAPK) activity were related to odontogenic differentiation. Pathway analysis indicated that the most significant pathway was the forkhead box O (FoxO) signaling pathway, which is related to odontogenic differentiation. Two odontogenesis-related gene-centered lncRNA-associated ceRNA networks were successfully constructed. The qRT-PCR validation results were consistent with the microarray analysis. G043225 mainly locating in cytoplasm was proved to promote the odontogenic differentiation of hDPSCs via miR-588 and FBN1. Conclusion This is the first study revealing lncRNA-associated ceRNA network during odontogenic differentiation of hDPSCs using microarray, and it could provide clues to explore the mechanism of action at the RNA-RNA level as well as novel treatments for dentin regeneration based on stem cells.
    Type of Medium: Online Resource
    ISSN: 1757-6512
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2548671-8
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  • 2
    Online Resource
    Online Resource
    The Science and Information Organization ; 2013
    In:  International Journal of Advanced Computer Science and Applications Vol. 4, No. 9 ( 2013)
    In: International Journal of Advanced Computer Science and Applications, The Science and Information Organization, Vol. 4, No. 9 ( 2013)
    Type of Medium: Online Resource
    ISSN: 2158-107X , 2156-5570
    Language: English
    Publisher: The Science and Information Organization
    Publication Date: 2013
    detail.hit.zdb_id: 2603599-6
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  • 3
    In: Stem Cells International, Hindawi Limited, Vol. 2021 ( 2021-4-15), p. 1-15
    Abstract: Background. Exosomes from human dental pulp stem cells (hDPSCs) were indicated to play a positive role in vascular regeneration processes. But the angiogenic capabilities of exosomes from inflammatory hDPSCs and the underlying mechanism remain unknown. In this study, the inflammatory factor lipopolysaccharide (LPS) was used to stimulate hDPSCs, and exosomes were extracted from these hDPSCs. The proangiogenic potential of exosomes was examined, and the underlying mechanism was studied. Method. Exosomes were isolated from hDPSCs with or without LPS stimulation (N-EXO and LPS-EXO) and cocultured with human umbilical vein endothelial cells (HUVECs). The proangiogenic potential of exosomes was evaluated by endothelial cell proliferation, migration, and tube formation abilities in vitro. To investigate the proangiogenic mechanism of LPS-EXO, microRNA sequencing was performed to explore the microRNA profile of N-EXO and LPS-EXO. Gene Ontology (GO) analysis was used to study the functions of the predicted target genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was used to estimate the signaling pathways associated with the inflammation-induced angiogenesis process. Result. Compared to the uptake of N-EXO, uptake of LPS-EXO activated the angiogenic potential of HUVECs by promoting the proliferation, migration, and tube formation abilities in vitro. The mRNA expression levels of vascular endothelial growth factor (VEGF) and kinase-insert domain-containing receptor (KDR) in the LPS-EXO group were significantly higher than those in the N-EXO group. MicroRNA sequencing showed that 10 microRNAs were significantly changed in LPS-EXO. Pathway analysis showed that the genes targeted by differentially expressed microRNAs were involved in multiple angiogenesis-related pathways. Conclusion. This study revealed that exosomes derived from inflammatory hDPSCs possessed better proangiogenic potential in vitro. This is the first time to explore the role of exosomal microRNA from hDPSCs in inflammation-induced angiogenesis. This finding sheds new light on the effect of inflammation-stimulated hDPSCs on tissue regeneration.
    Type of Medium: Online Resource
    ISSN: 1687-9678 , 1687-966X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2573856-2
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  • 4
    In: Molecular Medicine Reports, Spandidos Publications, ( 2019-08-23)
    Type of Medium: Online Resource
    ISSN: 1791-2997 , 1791-3004
    Language: Unknown
    Publisher: Spandidos Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2469505-1
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  • 5
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2016
    In:  IEEE Signal Processing Letters Vol. 23, No. 10 ( 2016-10), p. 1389-1393
    In: IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers (IEEE), Vol. 23, No. 10 ( 2016-10), p. 1389-1393
    Type of Medium: Online Resource
    ISSN: 1070-9908 , 1558-2361
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2016
    detail.hit.zdb_id: 2034305-X
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  • 6
    Online Resource
    Online Resource
    World Scientific Pub Co Pte Ltd ; 2019
    In:  International Journal of Pattern Recognition and Artificial Intelligence Vol. 33, No. 03 ( 2019-03), p. 1958005-
    In: International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Pub Co Pte Ltd, Vol. 33, No. 03 ( 2019-03), p. 1958005-
    Abstract: Graph signal processing (GSP) is an emerging field in the signal processing community. Novel GSP-based transforms, such as graph Fourier transform and graph wavelet filter banks, have been successfully utilized in image processing and pattern recognition. As a rapidly developing research area, graph signal processing aims to extend classical signal processing techniques to signals with irregular underlying structures. One of the hot topics in GSP is to develop multi-scale transforms such that novel GSP-based techniques can be applied in image processing or other related areas. For designing graph signal multi-scale frameworks, downsampling operations that ensuring multi-level downsampling should be specifically constructed. Among the existing downsampling methods in graph signal processing, the state-of-the-art method was constructed based on the maximum spanning tree (MST). However, when using this method for multi-level downsampling of graph signals defined on unweighted densely connected graphs, such as social network data, the sampling rates are not close to [Formula: see text]. This phenomenon is summarized as a new problem and called downsampling unbalance problem in this paper. Due to the unbalance, MST-based downsampling method cannot be applied to construct graph signal multi-scale transforms. In this paper, we propose a novel and efficient method to detect and reduce the downsampling unbalance generated by the MST-based method. For any given graph signal, we apply the graph density to construct a measurement of the downsampling unbalance generated by the MST-based method. If a graph signal has large unbalance possibility, the multi-level downsampling is conducted after the MST is improved. The experimental results on synthetic and real-world social network data show that downsampling unbalance can be efficiently detected and then reduced by our method.
    Type of Medium: Online Resource
    ISSN: 0218-0014 , 1793-6381
    Language: English
    Publisher: World Scientific Pub Co Pte Ltd
    Publication Date: 2019
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  • 7
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2019
    In:  IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 41, No. 1 ( 2019-1-1), p. 6-19
    In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (IEEE), Vol. 41, No. 1 ( 2019-1-1), p. 6-19
    Type of Medium: Online Resource
    ISSN: 0162-8828 , 2160-9292 , 1939-3539
    RVK:
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2019
    detail.hit.zdb_id: 2027336-8
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  • 8
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Computational and Mathematical Methods in Medicine Vol. 2022 ( 2022-9-23), p. 1-15
    In: Computational and Mathematical Methods in Medicine, Hindawi Limited, Vol. 2022 ( 2022-9-23), p. 1-15
    Abstract: Objective. Peri-implantitis (PI) is one of the main reasons for dental implant failure. Until now, the etiology and pathogenesis of PI remain unclear. Methods. In this study, we used differentially expressed genes (DEGs) analysis and gene function enrichment analysis to assess the expression profile of peri-implant bone tissue and gingiva in PI public data from the Gene Expression Omnibus (GEO) database. Then, we used gingival tissues from patients with PI and healthy individual to construct gene coexpression networks to reveal the biological functions of the genes in PI using RNA sequencing data. Afterward, key gene modules were selected to reveal the critical biological process or signaling pathway using Hallmark’s gene enrichment and expression analysis of the related pathway members in PI. Results. DEGs were enriched in the formation of cellular responses to external stimuli in bone tissue. Cytokine production, lymphocyte activation, immune response-regulating signaling pathway, and blood vessel development were the top GO biology process or pathways of the DEGs in gingival tissue. Weighted gene coexpression network analysis (WGCNA) of RNA-seq data was used to assess the results of correlation analysis between modules and traits and correlation analysis between modules and functions. kMEpurple, kMEgreen, and kMEred modules were selected as the key gene modules. Signaling pathways and gene expression analysis were performed on selected modules, such as IL2/STAT5 signaling pathway, TNFα signaling pathway via NFκB, and angiogenesis were enriched in kMEpurple module. Hedgehog signaling pathway, Wnt β-catenin signaling pathway, and IL2/STAT5 signaling pathway were enriched in kMEgreen module. Peroxisome, IL2/STAT5 signaling pathway, and epithelial-mesenchymal transformation process were enriched in kMEred module. All the enrichment results of key modules contained IL2/STAT5 signaling pathway. Conclusion. Differential gene and enrichment analysis based on public data showed differences in gene expression patterns and biological process between bone and gingival tissues in PI. This spatial-temporal heterogeneity is reflected in the formation of cellular responses to external stimuli, which was enriched in bone tissue, but cytokine production, lymphocyte activation, immune response regulating signaling pathway, and blood vessel development were enriched in gingival tissue. WGCNA and Hallmark gene sets enrichment analysis of the gingival tissue expression profile and showed that IL2-mediated activation of immune cells could be a critical mechanism in PI. As a new clinical treatment alternative, we suggest that IL2/STAT5 pathway blockers could be helpful in the treatment of PI.
    Type of Medium: Online Resource
    ISSN: 1748-6718 , 1748-670X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2256917-0
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  • 9
    Online Resource
    Online Resource
    Elsevier BV ; 2022
    In:  Information Sciences Vol. 593 ( 2022-05), p. 385-397
    In: Information Sciences, Elsevier BV, Vol. 593 ( 2022-05), p. 385-397
    Type of Medium: Online Resource
    ISSN: 0020-0255
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 218760-7
    detail.hit.zdb_id: 1478990-5
    SSG: 24,1
    SSG: 7,11
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  • 10
    Online Resource
    Online Resource
    Elsevier BV ; 2016
    In:  Digital Signal Processing Vol. 50 ( 2016-03), p. 61-71
    In: Digital Signal Processing, Elsevier BV, Vol. 50 ( 2016-03), p. 61-71
    Type of Medium: Online Resource
    ISSN: 1051-2004
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 1463243-3
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