Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

16 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide analysis of gene expression within vitiligo lesional skin with active inflammation

ABSTRACT: Vitiligo skin samples with an active inflammatory infiltrate were selected for gene expression profiling in order to identify inflammatory pathways that drive depigmentation in vitiligo. Total RNA was isolated from 10 deidentified human samples from formalin fixed, paraffin-embedded skin, 5 from vitiligo patients and 5 from controls. Control skin was age- and site-matched excision tips without pathology.

ORGANISM(S): Homo sapiens

SUBMITTER: John Harris

PROVIDER: E-GEOD-53146 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide analysis of gene expression within vitiligo lesional skin with active inflammation

Project description:Vitiligo skin samples with an active inflammatory infiltrate were selected for gene expression profiling in order to identify inflammatory pathways that drive depigmentation in vitiligo.

2013-12-12 | GSE53146 | GEO

Genome-wide analysis of gene expression within vitiligo mouse skin

Project description:Skin samples from mice in a model of vitiligo were selected for gene expression profiling in order to identify active inflammatory pathways. Total RNA isolated from 6 mouse samples from fresh skin, 3 from vitiligo mice and 3 from control mice.

2013-12-12 | E-GEOD-53147 | biostudies-arrayexpress

Microarray data vitiligo patients lesional and non-lesional skin

Project description:lesional and non-lesional skin from vitiligo patients

2016-11-01 | GSE75819 | GEO

Genome-wide analysis of gene expression within vitiligo mouse skin

Project description:Skin samples from mice in a model of vitiligo were selected for gene expression profiling in order to identify active inflammatory pathways.

2013-12-12 | GSE53147 | GEO

scRNASeq Data of CD3 Negative Immune Cells in HS lesional skin, healthy skin, and matched blood

Project description:Hidradenitis suppurativa (HS) is an inflammatory skin disease with limited therapeutic options. We and others have previously identified an abnormal B cell infiltrate within HS lesional skin. We performed scRNASequencing on CD3 negative cells from inflammatory HS skin lesions, healthy control skin and matched blood to better understand infiltrating B cells amongst other immune cells within lesional skin.

2023-12-10 | GSE249793 | GEO

single cell RNA-sequencing of matched lesional and nonlesional skin from vitiligo patients

Project description:We performed scRNA-seq analyses on patient matched lesional and nonlesional skin from viitiligo patients using the 10x genomics platform to examine different cell populations and keratinocyte states that may contribute to vitiligo disease persistence.

2022-05-20 | GSE203262 | GEO

Transcription profiling of skin from vitiligo patients and healthy volunteers reveals the WNT pathway as a target for re-pigmenting vitiligo lesions

Project description:Vitiligo is an acquired depigmentation of the skin inducing a marked alteration of the quality of life of affected individuals. Halting the disease progression and repigmenting the lesional skin represent the two faces of the therapeutic challenge in vitiligo. So far, none of them has been successfully addressed. Oxidative stress and immune system in genetically predisposed individuals participate to the complex pathophysiology of vitiligo. We performed a transcriptome and proteomic analysis on lesional, perilesional and non-depigmented skin of vitiligo patients compared to matched skin controls of healthy subjects. Our results show that the WNT pathway, implicated in melanocytes differentiation, was found to be altered in vitiligo skin. We demonstrated that the oxidative stress decreases WNT expression/activation in keratinocytes and in melanocytes. We developed an ex vivo skin model that remains functional up to 15 days. We then confirmed the decreased activation of the WNT pathway in human skin subjected to oxidative stress. Finally, using pharmacological agents that activate the WNT pathway, we treated the ex vivo depigmented skins from vitiligo patients and successfully induced the differentiation of resident stem cells into pre-melanocytes supporting further exploration of WNT activators to repigment vitiligo lesions. Total of 40 chips. 10 patients (3 biospies per patient: 1 lesional , 1 perilesional and 1 non lesional) ; 10 healthy volunteers (1biopsy in matched anatomical areas)

2015-10-01 | E-GEOD-65127 | biostudies-arrayexpress

Gene expression profiles in vitiligo lesional skin

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2013-12-12 | E-GEOD-53148 | biostudies-arrayexpress

Expression data from treatment of human melanocytes with phenolic compounds

Project description:Vitiligo, an acquired disorder characterized by depigmented skin patches, results from loss of epidermal melanocytes. Etiology of vitiligo is not clearly understood but environmental, biochemical, genetic, and immune factors play a role in its pathogenesis. There is evidence that melanocyte death is perpetuated by an autoimmune response that causes lesions to spread. 4-tertiary butyl phenol (4TBP) and monobenzyl ether of hydroquinone (MBEH) are phenolic compounds that are known as environmental causes of vitiligo. We used microarray to detail the global gene expression that occurs following exposure of melanocytes to 4-TBP or MBEH to identified distinct classes of up-regulated genes that may contribute to melanocyte loss in vitiligo. We show that human melanocytes exposed to 4-TBP and MBEH show increased production of some inflammatory cytokines. Interleukin-6 (IL6) and IL8, in particular, are expressed at the periphery of vitiligo lesions and may contribute to recruitment of immune components to the areas, perpetuating melanocyte loss. Cultured human epidermal melanocytes were treated with 4TBP or MBEH for 3, 6, or 24 hours and gene expression were compared with untreated cells.

2012-12-01 | E-GEOD-31641 | biostudies-arrayexpress

Targeting the WNT pathway for repigmenting vitiligo

Project description:Vitiligo is an acquired depigmentation of the skin inducing a marked alteration of the quality of life of affected individuals. Halting the disease progression and repigmenting the lesional skin represent the two faces of the therapeutic challenge in vitiligo. So far, none of them has been successfully addressed. Oxidative stress and immune system in genetically predisposed individuaLesionalparticipate to the complex pathophysiology of vitiligo. We performed a transcriptome and proteomic analysis on lesional, perilesional and non-depigmented skin of vitiligo patients compared to matched skin controLesionalof healthy subjects. Our results show that the WNT pathway, implicated in melanocytes differentiation, was found to be altered in vitiligo skin. We demonstrated that the oxidative stress decreases WNT expression/activation in keratinocytes and in melanocytes. We developed an ex vivo skin model that remains functional up to 15 days. We then confirmed the decreased activation of the WNT pathway in human skin subjected to oxidative stress. Finally, using pharmacological agents that activate the WNT pathway, we treated the ex vivo depigmented skins from vitiligo patients and successfully induced the differentiation of resident stem celLesionalinto pre-melanocytes supporting further exploration of WNT activators to repigment vitiligo lesions.

2015-10-01 | GSE65127 | 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