Cells in healthy periodontal ligament
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ABSTRACT:
PROVIDER: PRJNA672992 | ENA |
REPOSITORIES: ENA
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Project description:Periodontitis can impair the osteogenic differentiation of human periodontal mesenchymal stem cells, but the underlying molecular mechanisms are still poorly understood. Long noncoding RNAs (lncRNAs) have been demonstrated to play significant roles under both physiologic and pathological conditions. We performed comprehensive lncRNAs profiling by lncRNA microarray to identify differentially expressed long noncoding RNA expression between Periodontal ligament stem cells from healthy Periodontal tissue and periodontal ligament stem cells from inflammatory periodontal tissue. Our analysis identified 233 lncRNAs and 423 mRNAs that were differently expressed (fold change >2.0, p-value < 0.05) between the two groups of cells. The GO analysis revealed that the significantly down-regulated biological processes included multicellular organismal process, developmental process and multicellular organismal development and the significantly up-regulated biological processes included cellular process, biological regulation and response to stimulus in periodontal ligament stem cells from inflammatory periodontal tissue. The Pathway analysis revealed that the differentially expressed mRNAs may involved in Focal adhesion, ECM-receptor interaction, Bacterial invasion of epithelial cells, Long-term depression, Circadian entrainment and HIF-1 signaling pathway. Two-condition experiment, periodontal ligament stem cells from healthy periodontal tissue (hPDLSCs) vs. periodontal ligament stem cells from inflammatory periodontal tissue (pPDLSCs), Biological replicates: 3 control replicates (hPDLSCs), 3 testing replicates (pPDLSCs).
2016-02-19 | E-GEOD-78074 | biostudies-arrayexpress
Project description:Periodontitis can impair the osteogenic differentiation of human periodontal mesenchymal stem cells, but the underlying molecular mechanisms are still poorly understood. Long noncoding RNAs (lncRNAs) have been demonstrated to play significant roles under both physiologic and pathological conditions. We performed comprehensive lncRNAs profiling by lncRNA microarray to identify differentially expressed long noncoding RNA expression between Periodontal ligament stem cells from healthy Periodontal tissue and periodontal ligament stem cells from inflammatory periodontal tissue. Our analysis identified 233 lncRNAs and 423 mRNAs that were differently expressed (fold change >2.0, p-value < 0.05) between the two groups of cells. The GO analysis revealed that the significantly down-regulated biological processes included multicellular organismal process, developmental process and multicellular organismal development and the significantly up-regulated biological processes included cellular process, biological regulation and response to stimulus in periodontal ligament stem cells from inflammatory periodontal tissue. The Pathway analysis revealed that the differentially expressed mRNAs may involved in Focal adhesion, ECM-receptor interaction, Bacterial invasion of epithelial cells, Long-term depression, Circadian entrainment and HIF-1 signaling pathway.
2016-02-19 | GSE78074 | GEO
Project description:We used microarrays to detect the differences in gene-expression of the periontal ligament between patients with healthy periodontal ligament and patients with periodontitis RNA was extracted directly from the middle third of the human periodontal ligament
2011-03-17 | E-GEOD-27993 | biostudies-arrayexpress
Project description:To further explore the specific expressed miRNA in healthy and inflammatory periodontal ligament stem cells (PDLSCs)-derived exosomes, we extracted their exosomal RNA for miRNA microarray assay.
2021-04-01 | GSE163489 | GEO
Project description:We used microarrays to detect the differences in gene-expression of the periontal ligament between patients with healthy periodontal ligament and patients with periodontitis
2011-03-17 | GSE27993 | GEO
Project description:The periodontium are the tissues supporting and investing the tooth and consists of the periodontal ligament, the gingiva, the root cementum, and the alveolar bone. The functions of the cell populations in health and disease regarding the host-mediated tissue destruction are not well understood. To get a first idea, of which genes might play a distinct role in chronic periodontal disease in vivo, we compared the genom-wide gene expressions of chronic inflamed and healthy periodontal ligament cells by microarray analysis and validated the data by real-time RT-PCR. The expression rates of 14.239 genes were investigated and 3.018 of them were found differentially expressed by at least two-fold, the expression rates of 1.451 genes were significantly up-regulated and the expression rates of 1.567 genes were significantly down-regulated in inflamed PDL cells. We focused on mainly structural components, for example, laminins and integrins, as well as degrading enzymes, for example, MMPs and cathepsins. The molecular composition of the laminin network varies in chronic inflamed compared to healthy PDL cells in vivo. Furthermore, integrin alpha6beta4, together with laminin-332, might be involved in chronic periodontal inflammation. Findings that diverse keratins were upregulated in chronic disease indicate that the epithelial cell rests of Malassez might also be involved in chronic periodontal inflammation. Also cathepsin B and cathepsin C might participate in the connective tissue destruction. The microarray analysis has identified a profile of genes potentially involved in chronic periodontal inflammation in vivo. Further studies are needed to entirely understand cellular activities during chronic periodontal inflammation in vivo. Keywords: expression analysis
2007-08-01 | GSE7321 | GEO
Project description:The periodontium are the tissues supporting and investing the tooth and consists of the periodontal ligament, the gingiva, the root cementum, and the alveolar bone. The functions of the cell populations in health and disease regarding the host-mediated tissue destruction are not well understood. To get a first idea, of which genes might play a distinct role in chronic periodontal disease in vivo, we compared the genom-wide gene expressions of chronic inflamed and healthy periodontal ligament cells by microarray analysis and validated the data by real-time RT-PCR. The expression rates of 14.239 genes were investigated and 3.018 of them were found differentially expressed by at least two-fold, the expression rates of 1.451 genes were significantly up-regulated and the expression rates of 1.567 genes were significantly down-regulated in inflamed PDL cells. We focused on mainly structural components, for example, laminins and integrins, as well as degrading enzymes, for example, MMPs and cathepsins. The molecular composition of the laminin network varies in chronic inflamed compared to healthy PDL cells in vivo. Furthermore, integrin alpha6beta4, together with laminin-332, might be involved in chronic periodontal inflammation. Findings that diverse keratins were upregulated in chronic disease indicate that the epithelial cell rests of Malassez might also be involved in chronic periodontal inflammation. Also cathepsin B and cathepsin C might participate in the connective tissue destruction. The microarray analysis has identified a profile of genes potentially involved in chronic periodontal inflammation in vivo. Further studies are needed to entirely understand cellular activities during chronic periodontal inflammation in vivo. Experiment Overall Design: Periodontal tissue was collected from 32 patients at the Dental Medical School of the University of Goettingen (12 men, 20 women, aged between 18 and 72 years) from March 2005 to Dezember 2005. The tissue probes were taken from teeth, either extracted for orthodontic reasons (healthy periodontium) or because of chronic periodontal lesions. The differentiation between both collectives was performed using clinical and radiological parameters (clinical attachment loss, increase in probing depth, and radiographic bone loss). A detailed anamnesis of each patient was explored. All patients were without a medical history and were not on medication. In addition, the tissue samples used in our study were only taken from non-smokers. The extracted teeth were immediately frozen and stored at -80°C. All patients who participated in the study were informed about the nature and aim of this project and gave their written informed consent. The study was approved according to the regulations of the Ethics Committee of the Medical Faculty of the University of Goettingen.
2008-06-15 | E-GEOD-7321 | biostudies-arrayexpress
Project description:We performed the microarray analysis for gene expression profiling in periodontal ligament cells derived from Down syndrome.
2021-01-17 | GSE143885 | GEO
Project description:Periodontal tissue supports teeth in the alveolar bone socket via fibrous attachment of the periodontal ligament (PDL). The PDL contains many stromal cell types, including osteoblasts, cementoblasts, periodontal fibroblasts, and stem/progenitor cells. However, the characteristics and lineage hierarchy of each cell type remain poorly defined. Here we present a single-cell atlas of PDL, highlighting diverse cell populations in PDL.
2022-09-28 | GSE197828 | GEO
Project description:Previous research has reported that FDC-SP had similar molecular properties to statherin, a protein exists in saliva which plays important roles in preventing Ca precipitation. Further biomolecular study has suggested that the expression of FDC-SP may be associated with periodontal ligament (PDL) phenotype expression. Therefore, we hypothesized that FDC-SP may play specific roles in the inhibition of calcium precipitation during periodontal regeneration, as well as affect phenotype expression of periodontal ligament cells (PDLCs) during the differentiation process. To investigate this, we applied microarray technology to identify gene expression changes in hPDLCs transfected with FDC-SP and then clustered them according to their biological functions. We firstly established a recombinant lentiviral vector containing FDC-SP and obtained safe and efficient FDC-SP overexpression in human periodontal ligament cells (hPDLCs). After that, we applied Agilent Whole Human Genome Oligo Microarray (4M-CM-^W44K) to identify differentially expressed genes between empty vector-transfected hPDLCs and FDC-SP -transfected ones and then clustered them according to their biological functions. 3 independent experiments were performed and the empty vector-transfected hPDLCs were used as control.
2014-09-13 | E-GEOD-61384 | biostudies-arrayexpress