Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

High-resolution analysis of the pathogenesis of periodontitis

ABSTRACT: High-resolution analysis of the pathogenesis of periodontitis

PROVIDER: PRJNA915608 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22889257_1.fastq.gz	Fastqsanger.gz
	SRR22889257_2.fastq.gz	Fastqsanger.gz
	SRR22889258_1.fastq.gz	Fastqsanger.gz
	SRR22889258_2.fastq.gz	Fastqsanger.gz
	SRR22889259_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 48

Similar Datasets

High-resolution analysis of the pathogenesis of periodontitis

Project description:To investigate the function of different tissues in the pathogenesis, we established a novel mouse ligature-induced periodontitis model, supporting the separation of the maxillae into gingiva, peri-root, and bone tissue. After setting the right molars as the non-ligature control side and the left molars as the ligature side, we performed gene expression profiling and gene enrichment analysis using data obtained from RNA-seq of four individuals after 5-days-induction (24 samples in total).

2024-02-23 | GSE221720 | GEO

The single-cell transcriptome profiling of mouse bone marrow LSK cells after resolution of periodontitis

Project description:Periodontitis induces myeloid lineage skewing of the bone marrow progenitor cells. In this study, we performed single cell RNA-sequencing in LSK (Lin—Sca-1+cKit+ ) cells to determine whether the periodontitis-induced myeloid lineage bias persists after the resolution of periodontal inflammation.

2022-04-27 | GSE196808 | GEO

High-resolution analysis for urinary DNA jagged ends

Project description:High-resolution analysis for urinary DNA jagged ends

| EGAS00001005603 | EGA

High-resolution comparative analysis of great ape genomes

Project description:High-resolution comparative analysis of great ape genomes

| PRJNA470992 | ENA

USP4 depletion-driven RAB7A ubiquitylation impairs autophagosome-lysosome fusion and aggravates periodontitis

Project description:In exploring the pathogenesis of periodontitis, we collected clinical gingival tissues from healthy donors and patients with severe periodontitis for RNA-Seq analysis, and calculated the significant statistical correlation values (R) between autophagy-related genes and inflammation-related genes in human gingival tissues, which could inform a potential therapeutic target for the treatment of periodontitis.

2024-12-26 | GSE273165 | GEO

Effect of salivary exosomal miR-25-3p on periodontitis with insulin resistance

Project description:Salivary exsomal miRNAs may play important role in the pathogenesis of chronic inflammatory disease, such as periodontitis. There are many studies which suggested the connection between periodontitis and systemic disease, however, the role of specific miRNA as a intersection of periontitis and diabetes are not elucidated. We suggested miR-25-3p as possible common mediator in the pathogenesis of periodontitis and diabetes.

2021-11-20 | GSE189107 | GEO

High-resolution analysis of chromatin structure by Mnase-SSP

Project description:High-resolution analysis of chromatin structure by Mnase-SSP

| PRJNA515040 | ENA

Transcriptome analysis of periodontitis-associated fibroblasts by CAGE sequencing identified DLX5 and RUNX2 long variant as novel regulators involved in periodontitis

Project description:Transcriptome analysis of periodontitis-associated fibroblasts by CAGE sequencing identified DLX5 and RUNX2 long variant as novel regulators involved in periodontitis

2016-09-15 | GSE81984 | GEO

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

Differential analysis of salivary microRNA profiles in healthy and chronic periodontitis patients using Next Generation sequencing technology.

Project description:We report the application of high throughput Illumina sequencing for profiling of small RNAs in saliva of patients who were diagnosed with chronic periodontitis as compared to healthy controls. To date, there is no published literature on salivary microRNA profiling done using the high throughput next-generation sequencing analysis in patients diagnosed with chronic periodontitis. Also, this is the first study of its kind done in an Indian population. The objectives of the study were to profile microRNAs expressed in saliva of patients diagnosed with chronic periodontitis, to identify differentially expressed microRNAs between chronic periodontitis and healthy patients and to identify putative salivary microRNAs which can serve as biomarkers for periodontal disease.

2018-10-30 | GSE121910 | 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