Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-38616
PROVIDER: PRJNA168214 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Expression data from primary tissue, human oral mucosa (miRNA data)
| PRJNA168228 | ENA
Project description:Expression data from primary tissue, human oral mucosa (mRNA data)
| PRJNA168229 | ENA
Project description:miRNA expression data from primary human tissue (gastric mucosa)
| PRJNA308544 | ENA
Project description:In an attempt to further elucidate the pathomechanisms in oral squamous cell carcinoma (OSCC), gene expression profiling to a set of 35 primary OSCCs compared to 6 oral mucosa from healthy non-tumor patients was performed. Keywords: expression profiling Gene expression profiling using a whole-transcriptome chip that contains 35,035 gene-specific 70mere oligonucleotides (Human Oligoset 4.0; Operon) to a set of 35 primary OSCCs and 6 mucosa of healthy non-tumor patients.
2008-01-12 | E-GEOD-10121 | biostudies-arrayexpress
Project description:Thiele2013 - Oral mucosa squamous epithelial cells
The model of oral mucosa squamous epithelial cells metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000
).
This model is described in the article:
A community-driven global reconstruction of human metabolism.
Thiele I, et al
.
Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110027
.
To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
to CC0 Public Domain Dedication
for more information.
2005-01-01 | MODEL1310110027 | BioModels
Project description:Oral lichen planus (OLP) is a common oral mucosal disease, of which the etiology and pathogenesis are still unclear. Microorganisms may play an essential role in the pathogenesis of OLP. Previous studies of our group found that the composition ratio of Prevotella melaninogenica (Pm) on the buccal mucosa surface of OLP patients increased significantly. In addition, Pm could invade the epithelium of OLP. As the first physical defense of the oral mucosa, oral keratinocytes may interact directly with Pm in OLP. Therefore, this study aimed to explore the impact of Pm on primary human oral keratinocytes' transcriptome.
2022-12-14 | GSE220609 | GEO
Project description:While skin and oral mucosa share many morphological similarities, oral mucosal wounds heal more rapidly than skin wounds. Epithelial cells from oral mucosa exhibit increased migratory and proliferative capacities when compared to cells from skin, suggesting that the improved repair of mucosa may involve intrinsic differences in epithelial cells. This is an exploratory experiment to define the differential microRNA expression of baseline unwounded skin and oral mucosa epithelium.
2019-09-11 | GSE125423 | GEO
Project description:The interplay among different cells in a tissue is essential for maintaining homeostasis. Although, disease states have been traditionally attributed to individual cell types, increasing evidence and new therapeutic options have demonstrated the primary role of multicellular functions to understand health and disease, opening new avenues to understand pathogenesis and develop new treatment strategies. We recently described the cellular composition and dynamics of the human oral mucosa; however, the spatial arrangement of cells is needed to better understand a morphologically complex tissue. Here, we link single-cell RNA sequencing, spatial transcriptomics, and high-resolution multiplex fluorescence in situ hybridisation to characterise human oral mucosa in health and oral chronic inflammatory disease. We define highly specialised epithelial and stromal compartments and describe location-specific immune programs. Furthermore, we discovered fine regional fibroblast states, and spatially mapped a rare pathogenic population localised in a highly immunogenic region, responsible for lymphocyte recruitment through CXCL8 and CXCL10 and with a possible role in pathological angiogenesis through ALOX5AP. Collectively, our study provides a comprehensive reference for the study of oral chronic disease pathogenesis.
2023-02-01 | GSE206621 | GEO
Project description:The purpose of this study was to isolate NCSCs from oral mucosa using the neurosphere technique. Total RNA from human oral mucosa stromal cells and sphere-formig oral mucosa stromal cells was collected and compared at their gene expression level. Samples from 3 patients were analysed.
2016-07-03 | E-GEOD-68636 | biostudies-arrayexpress
Project description:Identification of genes that are differentially regulated in fibroblasts derived from dysplastic oral mucosa and oral squamous cell carcinoma compared to fibroblasts derived from normal oral mucosa. Affymetrix microarrays were used to define differential gene expression. Populations of fibroblasts were isolated from human normal oral mucosa, oral dysplasia and oral squamous cell carcinoma, maintained in 3D collagen I biomatrices, RNA extracted and processed for Affymetrix arrays. Fibroblasts maintained as monolayers were also included as comparators.
2013-12-01 | E-GEOD-38517 | biostudies-arrayexpress