Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene Expression Profile of Central Centrifugal Cicatricial Alopecia

ABSTRACT: Background: Central Centrifugal Cicatricial Alopecia (CCCA) is a primary cicatricial alopecia that most commonly affects women of African descent. Like CCCA, fibroproliferative disorders (FPDs) such as keloids, atherosclerosis and fibroids, are characterized by low-grade inflammation and irritation resulting in end stage fibrosis. Objective: We sought to determine if fibroproliferative genes were upregulated in patients with CCCA Methods: Five patients with biopsy proven CCCA were recruited for this study. Two scalp biopsies were obtained from each patient; one from CCCA affected vertex scalp and one from the unaffected occipital scalp. Microarray analysis was performed to determine the differential gene expression patterns Results: Several pathways responsible for excess collagen deposition and aberrant wound healing were up-regulated in CCCA affected scalp when compared to unaffected scalp with patterns similar to other FPDs. Genes downregulated in CCCA affected tissue included those with roles in lipid metabolism and fatty acid biosynthesis. Limitations: Small sample size and the use of whole skin tissue for analysis. Conclusion: We have identified the up-regulation of critical genes implicated in fibroproliferative disorders in the gene expression profile of patients with CCCA. These findings may help identify future therapeutic targets for this otherwise difficult to treat condition.

ORGANISM(S): Homo sapiens

PROVIDER: GSE113052 | GEO | 2021/03/22

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Uterine leiomyoma status in CCCA patients has no impact on the gene expression profile in the lesional scalp

Project description:Central centrifugal cicatricial alopecia (CCCA) has recently been associated with increased expression of genes implicated in fibroproliferative disorders (FPDs) in the affected scalp and higher prevalence of uterine leiomyomas (UL). We therefore sought to examine the effect of UL status on the gene expression profile of the lesional scalp in CCCA patients. Scalp biopsy was obtained from 16 patients with a confirmed diagnosis of CCCA between 2017 and 2020. Microarray analysis was used to identify differential gene expression between CCCA patients with and without a history of UL. Of the 20,000 genes analyzed, 23 of 25 genes with highest expression in CCCA patients with UL held no statistical significance. No genes previously implicated in FPDs were found among the upregulated transcripts. Of all genes analyzed, only 8 upregulated genes and zero downregulated genes had a fold change >2 in CCCA patients with UL compared to CCCA patients without UL. Our findings highlight similar gene expression patterns in the scalp of CCCA patients with and without a history of UL.

2021-09-15 | GSE179054 | GEO

Metabolomics Analysis of Frontal Fibrosing Alopecia

Project description:Scarring alopecia consists of a collection of disorders characterized by destruction of hair follicles, replacement with fibrous scar tissue, and irreversible hair loss. Alopecia affects men and women worldwide and can be a significant source of psychological stress and depression for affected individuals. The purpose of this study was to explore metabolic profiles in scalp tissue samples from normal control subjects (n=6) and in matched samples obtained from affected (n=12) and unaffected (n=12) areas of the scalp in patients with lymphocytic Frontal Fibrosing Alopecia (FFA). Frontal fibrosing alopecia results from destruction of hair follicles by an inflammatory lymphocytic infiltrate that is localized around the upper portion of the hair follicle.

2014-07-24 | ST000093 | MetabolomicsWorkbench

Project description:Skin microbiome in central centrifugal cicatricial alopecia

| PRJNA984944 | ENA

Gene Expression Profile of Central Centrifugal Cicatricial Alopecia

Project description:Gene Expression Profile of Central Centrifugal Cicatricial Alopecia

| PRJNA449869 | ENA

RNA-microarray analyses and protein profiles from affected and clinically non-affected scalp in male androgenetic alopecia patients

Project description:The aim of this pilot study was to combine standard clinical diagnostics with RNA and protein analyses from non-invasively obtained material. In 6 male volunteers with AGA, Norwood-Hamilton stage IIIv-IV, we performed global photography, phototrichogram, pH and sebum measurements, as well as skin surface cytokine measurements on AGA-affected frontal and vertex scalp skin compared to clinically unaffected occiput.

2017-06-30 | GSE78722 | GEO

Homo sapiens

Project description:Cicatricial Alopecia pathogenesis: Uniqueness or similarities between lymphocytic subtypes Lichen planopilaris (LPP) and Central centrifugal cicatricial alopecia (CCCA)

| PRJNA254482 | ENA

First ruxolitinib treatment of human alopecia areata patients

Project description:Two patients with alopecia areata were treated with systemic ruxolitinib. Skin biopsies were taken before starting treatment and 12 weeks after starting treatment. We used microarrays to assess changes in gene expression of affected skin before and after starting treatment Two patients with alopecia areata were recruited for our study. Skin biopsies of affected scalp were taken prior to starting treatment with oral ruxolinitib. Additional skin biopsies were taken 12 weeks after starting treatment. Scalp skin biopsies were taken from patients without alopecia areata for comparison. RNA was extracted, cDNA libraries were made and profiled on affymetrix microarray chips.

2014-08-17 | E-GEOD-58573 | biostudies-arrayexpress

Human skin metagenome

Project description:Skin shotgun metagenomics in patients with central centrifugal cicatricial alopecia (CCCA)

| PRJNA1111475 | ENA

Human Alopecia Areata Skin Profiling

Project description:Our goal was to develop a transcriptomic description of affected alopecic scalp skin from patients with alopecia areata. 5 biological replicates of skin samples from 5 separate AA patients compared with 5 similar scalp samples from healthy control patients

2014-08-17 | E-GEOD-45512 | biostudies-arrayexpress

Lichen Planopilaris and Pseudopelade of Brocq Involve Distinct Disease Associated Gene Expression Patterns by Microarray

Project description:Lichen planopilaris (LPP) and pseudopelade of Brocq (PPB) are two scarring alopecia diagnoses that often exhibit similar clinical features. Some suggest LPP and PPB are not distinct diseases, but rather different clinical presentations in a spectrum derived from the same underlying pathogenetic mechanism. We explored the degree of similarity between LPP and PPB gene expression patterns and the potential for common and unique gene pathway and gene activity in LPP and PPB using microarrays. Microarray analysis, using a 21K cDNA set was performed on pairs of biopsies obtained from affected and unaffected scalp of untreated patients (4 LPP and 4 PPB biopsy pairs). Diagnosis was confirmed by histopathology. Significantly differentially expressed genes were identified by analysis of microarray results in various data sets and screened for signaling pathway involvement. Selected genes were validated by quantitative PCR and immunohistology. The global gene expression profiles in LPP and PPB versus comparative intra-control scalp tissue were distinguishable by Significance Analysis of Microarrays (SAM). Specific genes, such as MMP11, were identified with significantly differential expression in association with LPP versus PPB. There was very limited commonality in the gene expression profiles between LPP and PPB. Our findings may have important implications for understanding the pathogenesis of LPP and PPB at the molecular level. Results suggest LPP and PPB involve different mechanisms of disease development and can be regarded as biologically distinct cicatricial alopecia diagnoses. Genes that we have identified may potentially be useful as markers of the respective diagnoses.

2008-07-01 | GSE11905 | 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