Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

48 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. 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Takehiko Kubota

PROVIDER: E-GEOD-23586 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

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.

2010-08-13 | GSE23586 | GEO

Homo sapiens

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

| PRJNA131841 | ENA

Comparative transcriptome analysis of periodontitis and peri-implantitis in the same subject

Project description:This study included 20 participants (10 healthy subjects and 10 patients with periodontitis and peri-implantitis). Gingival tissue samples (10 healthy, 10 periodontitis, and 10 peri-implantitis tissues) were collected, RNAs were extracted, and RNA sequencing and analysis were performed.

2024-01-29 | GSE223924 | GEO

Transcriptomes in Healthy and Diseased Gingival Tissues

2008-12-22 | GSE10334 | 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 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

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

MicroRNAs and their target genes in gingival tissues.

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

Ontogeny of Innate Immunity in Oral Mucosa - Cross Sectional

Project description:mRNA microarray profiling was performed on healthy gingival biopsies from nonhuman primates (NHPs) (between 3 and 23 years old, and periodontitis gingival biopsies from NHPs (12-22 years old)

2014-10-15 | E-MTAB-1977 | biostudies-arrayexpress

Transcriptomic profiling of human gingiva in health and disease

Project description:sc-RNAseq performed on gingival tissue isolated from healthy and periodontitis patients.

2020-12-28 | GSE152042 | GEO

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

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