Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MicroRNA differential expression in skin and oral mucosal epithelium

ABSTRACT: 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.

ORGANISM(S): Mus musculus

PROVIDER: GSE125423 | GEO | 2019/09/11

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transcriptional profiling of a wound healing process in skin and oral mucosa

Project description:When compared to skin, oral mucosal wounds heal rapidly and with reduced scar formation. This study used an Affymetrix microarray platform to compare the transcriptomes of oral mucosa and skin wounds in order to identify critical differences in the healing response at these two sites. Using microarrays, we explored the differences in gene expression in skin and oral mucosal wound healing in a murine model of paired equivalent-sized wounds. Samples were examined from day 0 to day 10 and spanned all stages of the wound healing process. Unwounded matched tissue was used as a control. Tissue samples collected at each post-wounding time point, as well as control samples, were represented by 3 biological replicates.

2010-07-20 | E-GEOD-23006 | biostudies-arrayexpress

Transcriptional profiling of a wound healing process in skin and oral mucosa

2010-07-20 | GSE23006 | GEO

Gene expression in human oral mucosal fibroblasts and patient-matched skin fibroblasts

2011-01-01 | GSE21648 | GEO

Gene expression in human oral mucosal fibroblasts and patient-matched skin fibroblasts

Project description:Wound healing within the oral mucosa results in minimal scar formation compared to wounds within the skin. We have recently demonstrated distinct differences in the ageing profiles of cells (oral mucosal and patient-matched skin fibroblasts) isolated from these tissues. We hypothesize that the increased replicative potential of oral mucosal fibroblasts may confer upon them preferential wound healing capacities. Passage-matched early cultures of oral mucosal fibroblasts and skin fibroblasts demonstrated distinct gene expression profiles with a number of genes linked to wound healing/tissue repair. We analyzed the gene expression profiles of oral mucosal and patient-matched skin fibroblasts for multiple patients both prior to (0h) and (6h) following a wounding stimulus. Differences in the gene expression profiles of oral mucosal and patient-matched skin fibroblasts were anlazyed for multiple patients both prior to (0h) and (6h) following a wounding stimulus. Serum starvation and subsequent stimulation provides a model for wounding and RNA extracted at 0h and 6h following this stimulus was hybridized to Affymetrix microarrays for analysis. We sought to compare the expression profiles both between oral and normal fibroblasts, in both serum depleted and stimulated conditions and also compare differences between patients.

2011-01-01 | E-GEOD-21648 | biostudies-arrayexpress

Study the epidermal regulation of mesenchymal tissue behavior using a novel rabbit animal model

Project description:In order to identify tissue specific differences in epithelial behavior following injury, we developed a novel animal model of epithelial-restricted injury in the New Zealand White rabbit. A grid of shallow incisional wounds, which extended through the entire epithelium but did not significantly damage the underlying connective tissue, were created on the skin and vaginal mucosa, and samples were taken at various times post-surgery for histology and molecular analysis. All wounds were completely re-epithelialized between 1 and 2 days post-surgery. A microarray analysis was performed on RNA extracted from the cutaneous and mucosal epithelium at 0 hour, 12 hours, 1 day, 3 days, and 5 days following injury, as well as unwounded control tissue. Multiple biological replicates (4 to 6 biological replicates) were measured at each condition. A custom Agilent 4x44K rabbit microarray was utilized.

2010-12-01 | E-GEOD-25261 | biostudies-arrayexpress

HOXA3 expression in wound tissue

Project description:To investigate how HOXA3 expression in wound tissue alters gene expression to control selective recruitment of bone marrow-derived cell populations, we utilized murine whole genome expression arrays (MEEBO arrays) to identify differentially expressed genes in cutaneous wounds from db/db (diabetic) mice treated with either CMV-HOXA3 or control plasmid. In addition to unwounded control skin, we chose day 4 as the time point to harvest the wounds for RNA isolation, which represents the transition from inflammatory to proliferative phase of wound repair, and precedes the observed differences in BMDC mobilization and recruitment at day 7. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Disease State: cutaneous wound/control skin unwounded skin, wounded skin treated with control plasmid, wounded skin treated with HOXA3

2009-10-12 | E-GEOD-13324 | biostudies-arrayexpress

miR-Seq on paired skin and oral mucosal wound healing

Project description:To delineate the role of microRNAs in the site-specific injury response, we compared the microRNAome of skin and oral mucosa both at baseline and throughout the time course of wound healing.

2019-05-29 | GSE121996 | GEO

Transcriptional changes in human palate and skin healing

Project description:Most human tissue injuries lead to the formation of a fibrous scar and result in the loss of functional tissue. One adult tissue that exhibits a more regenerative response to injury with minimal scarring is the oral mucosa. We generated a microarray gene expression dataset to examine the response to injury from human palate and skin excisional biopsies spanning the first seven days after wounding. Differential expression analyses over time were performed in each tissue to identify genes overexpressed or underexpressed compared to baseline unwounded tissue. To attribute biological processes of interest to these gene expression changes, gene set enrichment analysis was used to identify core gene sets that are enriched over the time-course of the wound healing process with respect to unwounded tissue. This analysis identified gene sets uniquely enriched in either palate or skin wounds and gene sets that are enriched in both tissues in at least one time point after injury. Finally, a cell-deconvolution analysis was performed to better understand the cell type distribution in these tissues and how it changes over the time course of wound healing. This dataset provides a source of human wound gene expression data that includes two tissue types with distinct regenerative and scarring phenotypes.

2022-12-29 | GSE209609 | GEO

Heparan sulfate in skin wounds

Project description:Standardized skin wounds were established surgically on mice and allowed to heal during a 15-day period. Expression of genes related to heparan sulfate biosynthesis was studied in wound bed and edges during the healing process. Total RNA was isolated from wound edge (regenerating skin) and wound bed at 2, 6 and 15 days post wounding, as well as from intact control skin. Three animals were used for each time point.

2010-05-22 | E-GEOD-7435 | biostudies-arrayexpress

Heparan sulfate in skin wounds

2008-04-01 | GSE7435 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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