Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Altered gene expressions of leukocyte transendothelial migration and cell communication pathways in periodontitis-affected gingival tissues

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE23586 | GEO | 2010/08/13

SECONDARY ACCESSION(S): PRJNA131841

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Altered gene expressions of leukocyte transendothelial migration and cell communication pathways in periodontitis-affected gingival tissues

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

Transcription profiling of gingival tissue from patients with periodontitis: Bacterial Correlates of Gingival Gene Expression

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

Transcriptome of healthy gingival tissue in aggressive periodontitis

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

Lipidomic analysis reveals altered lipid profiles of clinically healthy and periodontitis-affected gingival biopsies

Project description:AIM: The role of lipids in periodontitis has not been well studied. Thus, this study aimed to explore periodontitis-associated lipid profile changes and identify differentially expressed lipid metabolites in gingival tissues.MATERIALS AND METHODS: Gingival tissues from 38 patients with periodontitis (periodontitis group) and 38 periodontally healthy individuals (control group) were collected. A UHPLC-QTOF-MS-based non-targeted metabolomics platform was used to identify and compare the lipid profiles of the two groups. The distribution and expression of related proteins were subsequently analyzed via immunohistochemistry to further validate the identified lipids.RESULTS: Lipid profiles significantly differed between the two groups, and 20 differentially expressed lipid species were identified. Lysophosphatidylcholines (lysoPCs), diacylglycerols (DGs) and phosphatidylethanolamines (PEs) were significantly upregulated, while triacylglycerols (TGs) were downregulated in the periodontitis group. Moreover, the staining intensity of ABHD5/CGI-58, secretory phospholipase A2 (sPLA2), and sPLA2-IIA was significantly stronger in the gingival tissues of patients with periodontitis than in those of healthy controls.CONCLUSIONS: LysoPCs, DGs, and PEs were significantly upregulated, whereas TGs were downregulated in gingival tissues of patients with periodontitis. Correspondingly, the immunohistochemical staining of ABHD5/CGI-58, sPLA2 and sPLA2-IIA in gingival tissues was consistent with the downstream production of lipid classes (lysoPCs, TGs and DGs).

2022-08-19 | MTBLS4684 | MetaboLights

Human gingival immune cell atlas unveils the impaired B cell development in aggressive periodontitis

Project description:Aggressive periodontitis (AP; Grade C, Stage 3-4) is rapid destructive condition of periodontium triggered by an imbalanced immune reaction with dysbiosis of periodontal pathogens. AP is characterized by extensive tooth loss in early ages due to its severe nature and rapid progression, significantly impacting the affected individual's quality of life. Despite the severity and refractoriness of the disease, the precise pathophysiology of this hyper-reactive phenotype remains unclear. In this study, we dissected the distinct immunological features in AP by establishing the comprehensive human gingival cell atlas on individuals with AP, chronic periodontitis (CP), and healthy controls (HC). Iterative clustering analysis based on the single-cell transcriptome revealed the distinct populations in B and plasma cells upon the periodontal conditions. AP group exhibited a significant rise in B cells including a unique cell cluster dominantly expressing ID3, a key suppressor of plasma cell development. This observation is coordinated with the impaired phenotypes of antibody class switching in AP patients. Remarkably, the secreted IgM gingival crevicular fluid from AP patients exhibited the autoreactivity to gingival tissues, suggesting a potential autoimmune mechanism that involved in AP pathogenesis. These findings highlight distinct immune cell and antibody profiles in AP, providing the insights into the groundwork for personalized monitoring and proactive intervention approaches to mitigate irreversible tissue damage.

2024-04-02 | GSE262668 | GEO

Transcriptome analysis of chronic periodontitis patients' gingival tissue

Project description:We examined the molecular and cellular mechanism for chronic periodontitis in patients' gingival tissue by whole transcriptome sequencing.

2016-08-18 | GSE80715 | GEO

MicroRNA profiling in gingival crevicular fluid of periodontitis

Project description:We profiled miRNAs in gingival crevicular fluid (GCF) by a PCR-based method that yielded quantitative measures of more than 600 miRNAs. We found that miRNA profiles in GCF of periodontitis patients are distinct from those of healthy controls.

2017-08-11 | GSE89081 | GEO

Gingival transcriptomics phases of periodontitis lesions in nonhuman primate model

Project description:We used a nonhuman primate (NHP) model of ligature-induced periodontitis to identify gingival transcriptome changes associated with aging during the phases of periodontitis lesions (initiation, progression, and resolution). Four age groups of nonhuman primate were studied: Young (<3 years of age); Adolescent (3 to 7 years), Adult (12 to 15 years), and Aged (17-23 years)

2021-07-22 | GSE180588 | GEO

Transcriptomes in Healthy and Diseased Gingival Tissues

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

2008-12-22 | GSE10334 | GEO

Bacterial Correlates of Gingival Gene Expression

Project description:We investigated the association between subgingival bacterial profiles and gene expression patterns in gingival tissues of patients with periodontitis.

2009-12-22 | GSE16134 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data