Genome-wide gene expression dataset used to identify potential therapeutic targets in androgenetic alopecia.

The microarray dataset attached to this report is related to the research article with the title: "A genomic approach to susceptibility and pathogenesis leads to identifying potential novel therapeutic targets in androgenetic alopecia" (Dey-Rao and Sinha, 2017) [1]. Male-pattern hair loss that is induced by androgens (testosterone) in genetically predisposed individuals is known as androgenetic alopecia (AGA). The raw dataset is being made publicly available to enable critical and/or extended analyses. Our related research paper utilizes the attached raw dataset, for genome-wide gene-expression associated investigations. Combined with several in silico bioinformatics-based analyses we were able to delineate five strategic molecular elements as potential novel targets towards future AGA-therapy.

A genomic approach to susceptibility and pathogenesis leads to identifying potential novel therapeutic targets in androgenetic alopecia.

We studied genome-wide gene expression from bald and haired scalp of individuals to evaluate pathogenic mechanisms underlying the development and progression of androgenetic alopecia (AGA). Unbiased analyses revealed a "bald pathology" based signature. Ontology enrichment analyses of the differentially expressed genes (DEGs) underscored apoptosis, cell proliferation, perturbed neurological pathways, and WNT signaling as central drivers of the hair loss process. Interactome analysis uncovered several known and novel key transcriptional regulators potentially affecting disease pathogenesis both within and "hidden" from the dataset. One DEG mapped within one of the fourteen identified transcriptionally active "hot spots" across the genome and coincided with a previous AGA-associated gene. The remaining DEGs within the "hot spots" offer an additional set of potential disease linked loci that may help to guide future studies aimed at identifying disease risk genes. Finally, we used in silico analyses to identify five molecular targets for exploration in future AGA therapies.

Interactome analysis of gene expression profile reveals potential novel key transcriptional regulators of skin pathology in vitiligo.

Selective destruction of epidermal melanocytes is central to vitiligo (VL), a common acquired, autoimmune depigmentory disorder of the skin. Like other autoimmune diseases, the pathogenesis of VL is obscure and both multifactorial and polygenic. The prevailing theory is that VL may be part of an autoimmune diathesis. To evaluate mechanisms underlying disease development and progression, we studied genome-wide gene expression from lesional and non-lesional skin of patients with non-segmental VL. Unbiased clustering and principal components analyses reveals a 'lesional pathology'-based signature. Pathway-based analyses of the differentially expressed genes underscore processes such as melanocyte development and cell cycle as central drivers of the disease state. Interactome analysis identifies several key transcriptional regulators potentially affecting disease pathogenesis both within and 'hidden' from the data set. Finally, two genes within six identified transcriptional 'hot spots' coincide with previous VL-associated genetic elements. The remaining genes in the 'hot spots' offer an additional set of potential disease-linked loci that may help to guide future studies aimed at identifying disease risk genes.

Genome-wide transcriptional profiling data from chronic cutaneous lupus erythematosus (CCLE) peripheral blood.

The disease Lupus erythematosus (LE), exhibits a variety of clinical manifestations with potentially wide-ranging multi-organ damage to joints, tendons, kidney, lung, heart, blood vessels, central nervous system and skin [1,2] Systemic changes are likely to trigger organ specific manifestation of the disease. Here, we provide the data examined to address the gap in knowledge regarding causes and mechanisms contributing to the autoimmune attack on skin in chronic cutaneous lupus erythematosus (CCLE). The raw gene expression data files (CEL files) are provided with this article [3].

Genome-wide transcriptional profiling data from skin of chronic cutaneous lupus erythematosus (CCLE) patients.

Cutaneous features manifest as a wide range of clinically significant, and in many cases disfiguring and debilitating components of lupus erythematosus (LE). While the definitive etiology is in question, multifactorial and polygenic causes are likely to be involved in the production of the characteristic anti-nuclear autoantibody titers and immune cell infiltrates observed in chronic cutaneous LE (CCLE) [1-3]. There is significant overlap of patients with systemic and cutaneous manifestations of LE, which suggests shared pathways and genetic background between the two. We have employed genome-wide microarray technology along with pathway-based analyses to investigate transcriptional differences between lesional and non-lesional skin from CCLE patients to address existing gaps in knowledge regarding disease mechanisms in lupus [4].

Genome-wide transcriptional profiling of chronic cutaneous lupus erythematosus (CCLE) peripheral blood identifies systemic alterations relevant to the skin manifestation.

Major gaps remain regarding pathogenetic mechanisms underlying clinical heterogeneity in lupus erythematosus (LE). As systemic changes are likely to underlie skin specific manifestation, we analyzed global gene expression in peripheral blood of a small cohort of chronic cutaneous LE (CCLE) patients and healthy individuals. Unbiased hierarchical clustering distinguished patients from controls revealing a "disease" based signature. Functional annotation of the differentially expressed genes (DEGs) highlight enrichment of interferon related immune response and apoptosis signatures, along with other key pathways. There is a 26% overlap of the blood and lesional skin transcriptional profile from a previous analysis by our group. We identified four transcriptional "hot spots" at chromosomal regions harboring statistically increased numbers of DEGs which offer prioritized potential loci for downstream fine mapping studies in the search for CCLE specific susceptibility loci. Additionally, we uncover evidence to support both shared and distinct mechanisms for cutaneous and systemic manifestations of lupus.

Differential gene expression analysis in CCLE lesions provides new insights regarding the genetics basis of skin vs. systemic disease.

Lupus erythematosus is a heterogeneous autoimmune condition affecting multiple organs including skin, which remains poorly understood. To investigate pathogenetic processes relevant to cutaneous lupus as compared to systemic disease, we generated genome-wide expression data from lesional and non-lesional skin of chronic cutaneous LE (CCLE) patients. We reveal LE skin-associated transcriptional profiles and identify prominent functional pathways. A subset of CCLE differentially expressed genes (DEGs) was found to overlap with systemic lupus, including those linked to interferon and apoptosis. We identified 13 skin associated transcriptional "hot spots" that represent activated chromosomal regions. Seventeen CCLE DEGs (eight within "hot spots") were found to overlap with previously reported SLE-associated susceptibility loci. Additionally, we identify chromosomal regions not previously associated with lupus, potentially harboring distinct susceptibility loci for CCLE. This study suggests that overlapping as well as distinct genetic factors underlie disease pathogenesis in systemic and cutaneous lupus.

Genome-wide expression analysis suggests unique disease-promoting and disease-preventing signatures in Pemphigus vulgaris.

To evaluate pathogenetic mechanisms underlying disease development and progression in the autoimmune skin disease Pemphigus vulgaris (PV), we examined global peripheral blood gene expression in patients and healthy controls. Our goals were to: (1) assign blood gene expression signatures to patients and controls; (2) identify differentially expressed genes (DEGs) and investigate functional pathways associated with these signatures; and (3) evaluate the distribution of DEGs across the genome to identify transcriptional 'hot spots'. Unbiased hierarchical clustering clearly separated patients from human leukocyte antigen (HLA)-matched controls (MCRs; 'disease' signature), and active from remittent patients ('activity' signature). DEGs associated with these signatures are involved in immune response, cytoskeletal reorganization, mitogen-activated protein kinase (MAPK) signaling, oxidation-reduction and apoptosis. We further found that MCRs carrying the PV-associated HLA risk alleles cluster distinctly from unmatched controls (UMCR) revealing an HLA-associated 'control' signature. A subset of DEGs within the 'control' signature overlap with the 'disease' signature, but are inversely regulated in MCR when compared with either PV patients or UMCR, suggesting the existence of a 'protection' signature in healthy individuals carrying the PV HLA genetic risk elements. Finally, we identified 19 transcriptional 'hot spots' across the signatures, which may guide future studies aimed at pinpointing disease risk genes.

Oxidative stress and endometriosis.

BACKGROUND: Little is known about the aetiology of endometriosis; however, in the presence of oxidative stress, reactive oxygen species might increase growth and adhesion of endometrial cells in the peritoneal cavity, leading to endometriosis and infertility. Within a study investigating persistent organic compounds and endometriosis, the authors evaluated the association between oxidative stress and endometriosis. METHODS: Women aged 18-40 years who were undergoing laparoscopy were contacted to participate in the study (n = 100); 84 were eligible and agreed to be interviewed; 78 provided blood specimens. Four markers of oxidative stress and antioxidant status were measured in serum for 61 women. Multiple imputation of missing data was used to generate values for the missing oxidative stress data. RESULTS: Thirty-two women had visually confirmed endometriosis at laparoscopy while 52 did not, including 22 undergoing tubal ligation and 30 with idiopathic infertility. There was a weak association between thiobarbituric acid-reactive substances (nmol/ml) and endometriosis, after adjusting for age, body mass index, current smoking, hormone use in the past 12 months, gravidity, serum vitamin E, serum estradiol, and total serum lipids (beta = 1.18; 95% CI-0.04, 2.39). CONCLUSIONS: These results suggest that oxidative stress might play a role in the development and progression of endometriosis, which should be evaluated in larger studies.