Transcriptomes in Healthy and Diseased Gingival Tissues
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE10334 | GEO | 2008/12/22
SECONDARY ACCESSION(S): PRJNA105569
REPOSITORIES: GEO
Similar Datasets
Project description:We examined gene expression signatures in healthy and diseased gingival tissues in 90 patients. Analysis of the gingival tissue transcriptome in states of periodontal health and disease may reveal novel insights of the pathobiology of periodontitis. Keywords: gingival tissue disease state analysis Ninety non-smokers, 63 with chronic and 27 with aggressive periodontitis, each contributing with >=2 “diseased” interproximal papillae (with bleeding on probing, probing pocket depth >=4mm, and clinical attachment loss >=3mm) and a “healthy” papilla, if available (no BoP, PPD<=4mm and CAL<=2mm). RNA was extracted, amplified, reverse transcribed, labeled, and hybridized with AffymetrixU133Plus2.0 arrays. Transcriptome analysis was conducted on a total of 247 samples (from 183 diseased and 64 healthy sites).
2008-12-22 | E-GEOD-10334 | biostudies-arrayexpress
Project description:To gain insights into the in vivo function of miRNAs in the context of periodontitis, we examined the occurrence of miRNAs in healthy and diseased gingival tissues and validated their in silico-predicted targets through mRNA profiling using whole-genome microarrays in the same specimens. Eighty-six individuals with periodontitis contributed 198 gingival papillae: 158 'diseased' (bleeding-on-probing, PD > 4 mm, and AL M-bM-^IM-% 3 mm) and 40 'healthy' (no bleeding, PD M-bM-^IM-$ 4 mm, and AL M-bM-^IM-$ 2 mm). Expression of 1,205 miRNAs was assessed by microarrays, followed by selected confirmation by quantitative RT-PCR. Predicted miRNA targets were identified and tested for enrichment by Gene Set Enrichment Analysis (GSEA). Enriched gene sets were grouped in functional categories by DAVID and Ingenuity Pathway Analysis. One hundred fifty-nine miRNAs were significantly differentially expressed between healthy and diseased gingiva. Four miRNAs (hsa-miR-451, hsa-miR-223, hsa-miR-486-5p, hsa-miR-3917) were significantly overexpressed, and 7 (hsa-miR-1246, hsa-miR-1260, hsa-miR-141, hsa-miR-1260b, hsa-miR-203, hsa-miR-210, hsa-miR-205*) were underexpressed by > 2-fold in diseased vs. healthy gingiva. GSEA and additional filtering identified 60 enriched miRNA gene sets with target genes involved in immune/inflammatory responses and tissue homeostasis. This is the first study that concurrently examined miRNA and mRNA expression in gingival tissues and will inform mechanistic experimentation to dissect the role of miRNAs in periodontal tissue homeostasis and pathology. The dataset comprise 200 gingival tissue samples from 86 patients with periodontitis. All samples are included in this series, but 2 where not included in the study, as they did not pass our QC. Each patient has one or more healthy and disease sample and samples can be of chronic or aggressive periodontitis type.
2014-02-05 | E-GEOD-54710 | biostudies-arrayexpress
Project description:Gene expressions relate to the pathogenesis of periodontitis and have a crucial role in local tissue destruction and susceptibility to the disease. The aims of the present study were to explore comprehensive gene expressions/transcriptomes in periodontitis-affected gingival tissues, and to identify specific biological processes. The purpose of the present study was 1) to compare comprehensive gene expression/transcriptomes of periodontitis-affected gingival tissues with those of healthy tissues by using microarray and data mining technologies, and 2) to analyze significantly differentially expressed genes which belong to pathological pathways in periodontitis by qRT-PCR. Two distinct gingival samples including healthy and periodontal-affected gingiva were taken from 3 patients with severe chronic periodontitis. Total RNAs from 6 gingival tissue samples were used for microarray and data-mining analyses. Comparisons, gene ontology, and pathway frequency analyses were performed and identified significant biological pathways in periodontitis. Quantitative reverse transcription real-time polymerase chain reaction (qRT-PCR) analyse using 14 chronic periodontitis patients including 3 patients listed above and 14 healthy individuals showed 9 differentially expressed genes in leukocyte migration and cell communication pathways.
2010-08-13 | E-GEOD-23586 | biostudies-arrayexpress
Project description:We investigated the association between subgingival bacterial profiles and gene expression patterns in gingival tissues of patients with periodontitis. A total of 120 patients undergoing periodontal surgery contributed with a minimum of two interproximal gingival papillae (range 2-4) from a maxillary posterior. Prior to tissue harvesting, subgingival plaque samples were collected from the mesial and distal aspects of each papilla. Gingival tissue RNA was extracted, reverse-transcribed, labeled, and hybridized with whole-genome microarrays (310 in total)
2009-12-21 | E-GEOD-16134 | biostudies-arrayexpress
Project description:This study evaluated the transcriptome of healthy gingival tissue in patients with a history of generalized aggressive periodontitis (GAgP) and chronic periodontitis (CP) and in subjects with no history of periodontitis (H), using microarray analysis.
2017-03-29 | GSE79705 | GEO
Project description:To gain insights into the in vivo function of miRNAs in the context of periodontitis, we examined the occurrence of miRNAs in healthy and diseased gingival tissues and validated their in silico-predicted targets through mRNA profiling using whole-genome microarrays in the same specimens. Eighty-six individuals with periodontitis contributed 198 gingival papillae: 158 'diseased' (bleeding-on-probing, PD > 4 mm, and AL ≥ 3 mm) and 40 'healthy' (no bleeding, PD ≤ 4 mm, and AL ≤ 2 mm). Expression of 1,205 miRNAs was assessed by microarrays, followed by selected confirmation by quantitative RT-PCR. Predicted miRNA targets were identified and tested for enrichment by Gene Set Enrichment Analysis (GSEA). Enriched gene sets were grouped in functional categories by DAVID and Ingenuity Pathway Analysis. One hundred fifty-nine miRNAs were significantly differentially expressed between healthy and diseased gingiva. Four miRNAs (hsa-miR-451, hsa-miR-223, hsa-miR-486-5p, hsa-miR-3917) were significantly overexpressed, and 7 (hsa-miR-1246, hsa-miR-1260, hsa-miR-141, hsa-miR-1260b, hsa-miR-203, hsa-miR-210, hsa-miR-205*) were underexpressed by > 2-fold in diseased vs. healthy gingiva. GSEA and additional filtering identified 60 enriched miRNA gene sets with target genes involved in immune/inflammatory responses and tissue homeostasis. This is the first study that concurrently examined miRNA and mRNA expression in gingival tissues and will inform mechanistic experimentation to dissect the role of miRNAs in periodontal tissue homeostasis and pathology.
2014-02-05 | GSE54710 | GEO
Project description:We investigated differential DNA methylation in gingival tissues in states of periodontal health, gingivitis and periodontitis.
2021-04-23 | GSE173081 | GEO
Project description:We investigated differential mRNA expression in gingival tissues in states of periodontal health, gingivitis and periodontitis.
2021-04-23 | GSE173078 | GEO
Project description:Gingival tissue proteome is at the forefront of the periodontal research, yet have been hampered by lack of sufficient tissue-extraction methods. Using an emerging technology for tissue homogenization, pressure cycling technology (PCT), we characterize the gingival tissue proteomic profiles of both healthy (n=5) and disease (n=5) sites from five systemically healthy individuals (51.6± 4.3 years) with generalized chronic periodontitis. In brief, the tissue was lysed and digested in PCT, the peptide was further subjected to an Orbitrap Fusion mass spectrometer. Label-free quantification (LFQ) was performed by Progenesis QI using Mascot and Scaffold for identifying and sorting of protein conflict, respectively.
2020-09-25 | PXD018029 | Pride
Project description:Periodontal regeneration study. Periodontitis is a common chronic inflammatory disease which may lead to tooth loss. The ultimate goal of periodontal therapy is complete regeneration of the tissues lost as a result of periodontitis. However, most regenerative clinical procedures are unpredictable, largely because there is a lack of understanding of how the various tissues comprising the periodontium (gingival epithelium, gingival connective tissue, periodontal ligament, aveolar bone and cementum) interact during the regenerative process. The aim of this study was to investigate the molecular mechanisms that are involved in periodontal regeneration. For this purpose, paired sets of gingival, ligament and regenerating cells were isolated from patients that have been treated for periodontitis via a regenerative surgical procedure. A microarray analysis using the Hu133A Affymetrix arrays was used to identify the genes and pathways that were characteristic of the three different tissues. We have identified over 500 transcripts in global comparison and intrapatient comparisons that were differentially expressed between ligament and gingival samples, and approximately 30 transcripts that characterized the regenerating cell population. By using a functional classification based on Gene Ontology we were able to group the transcripts into 12 groups. Proteases/Protease inhibitors were differentially expressed between the ligament and gingiva highlighting high ECM remodelling activity by gingival cells. On the other hand, ligament cells were shown to have increased protein synthesis by increasing their nucleolar and ribosomal gene complement. We were able to identify 57 various DNA binding proteins, among them were some well characterised transcription factors, transcriptional regulators, including DNA polymerases and transcriptional co-activators. Furthermore, we have also identified changes in expression of their targets in the two tissues. This is the first study to characterise the gene expression profile of periodontal regenerating cells and allowed us to gain valuable insights into the cellular and molecular mechanisms that occur during the regenerative process. We have identified signalling pathways which are consistent with clinical observations of the regenerative properties of gingival and periodontal ligament cells. These pathways provide candidate targets that can be manipulated in order to achieve a superior regenerative clinical outcome.
2008-06-12 | E-GEOD-2525 | biostudies-arrayexpress