Expression data from fibroblasts derived from human normal oral mucosa, oral dysplasia and oral squamous cell carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE38517 | GEO | 2013/12/01
SECONDARY ACCESSION(S): PRJNA168093
REPOSITORIES: GEO
Similar Datasets
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
Project description:micro-RNA in cancer-associated fibroblasts in oral squamous cell carcinoma vs. dysplasia-associated fibroblasts from dysplastic oral lesions vs. normal fibroblasts from normal oral mucosa from healthy individual.
2021-08-27 | GSE172287 | GEO
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 squamous cell carcinoma (OSCC) is one of the most common cancers worldwide including the Asian subcontinent. Oral carcinoma exhibits inherent heterogeneity in terms of the sites involved, etiology and pathology. They occur at multiple sites such as tongue, buccal mucosa, maxilla. Effective approaches towards improving survival rates in OSCC patients are primarily focused on early detection of the disease. The early clinical indication of the disease follows the development of potentially malignant lesions (leukoplakia/erythro-leukoplakia) with varied rates of transformation. Currently histopathological evaluation of oral biopsy is generally practiced to evaluate potential malignancy. However, human saliva has been considered to be a valuable medium for discovering biomarker molecules for malignancy. Exfoliated cancer cells may release protein or RNA molecules into the saliva or free molecules may be secreted or leaked from cancer cells representing gene expression changes associated with tumor development. Salivary proteins thus provide a strong option for development of non-invasive, point-of-care assays for screening/early detection of oral cancers. Dysplastic leukoplakia (LP) of the oral cavity is a potentially malignant condition for oral squamous cell carcinoma (OSCC), early detection of which is an unmet clinical need. In an effort to develop non-invasive biomarker based method for early detection of the disease, we have used quantitative mass spectrometry to identify differently abundant salivary proteins in OSCC (buccal mucosa) patients and individuals with potential to develop cancer (oral dysplastic leukoplakia) in comparison to healthy controls (with risk habits such as tobacco chewing or smoking).
2019-11-12 | PXD015722 | Pride
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
2008-01-12 | GSE10121 | GEO
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:The development of oral squamous cell carcinoma (OSCC) is a multistep process requiring the accumulation of genetic alterations. Oral carcinogenesis is a multifactorial process involving numerous genetic changes that affect the activity of oncogenes, tumor suppressor genes and other classes of disease-related genes.Therefore, to identify the responsive genes for progression of oral dysplasia or OSCC, we here performed CGH analysis to DNA from oral dysplasia and OSCC by microdissection Copy number analysis of Affymetrix 250K SNP arrays was performed for 8 oral dysplasia samples, 8 oral squamous cell carcinoma samples, using microdissection
2013-10-22 | E-GEOD-51265 | biostudies-arrayexpress
Project description:Injuries of the vocal folds frequently heal with scar formation, which can have lifelong detrimental impact on voice quality. Current treatments to prevent or resolve scars of the vocal fold mucosa are highly unsatisfactory. In contrast, the adjacent oral mucosa is mostly resistant to scarring. These differences in healing tendency might relate to distinct properties of the fibroblasts populating oral and vocal fold mucosae. We thus established the in vitro cultivation of paired, near-primary vocal fold fibroblasts (VFF) and oral mucosa fibroblasts (OMF) to perform a basic cellular characterization and comparative cellular proteomics. VFF were significantly larger than OMF, proliferated more slowly, and exhibited a sustained TGF-β1-induced elevation of pro-fibrotic interleukin 6. Cluster analysis of the proteomic data revealed distinct protein repertoires specific for VFF and OMF. Further, VFF displayed a broader protein spectrum, particularly a more sophisticated array of factors constituting and modifying the extracellular matrix. Conversely, subsets of OMF-enriched proteins were linked to cellular proliferation, nuclear events, and protection against oxidative stress. Altogether, this study supports the notion that fibroblasts sensitively adapt to the functional peculiarities of their respective anatomical location and presents several molecular targets for further investigation in the context of vocal fold wound healing.
2017-01-23 | PXD005106 | Pride
Project description:Common overexpressing genes were identified in all human oral squamous cell carcinoma tissues and/or cultured cells. Ten oral squamous cell carcinoma tissues and 10 human oral squamous cell carcinoma cell lines were analyzed. Three normal oral mucosa tissues and a human non-neoplastic keratinocyte cell lines were used as control samples.
2012-09-30 | E-GEOD-36090 | biostudies-arrayexpress
Project description:The development of oral squamous cell carcinoma (OSCC) is a multistep process requiring the accumulation of genetic alterations. Oral carcinogenesis is a multifactorial process involving numerous genetic changes that affect the activity of oncogenes, tumor suppressor genes and other classes of disease-related genes.Therefore, to identify the responsive genes for progression of oral dysplasia or OSCC, we here performed CGH analysis to DNA from oral dysplasia and OSCC by microdissection
2013-10-22 | GSE51265 | GEO