Abstract
Background
Atopic dermatitis (AD) is a common, complex, and highly heritable inflammatory skin disease. Genome-wide association studies offer opportunities to identify molecular targets for drug development. A risk locus on chromosome 11q13.5 lies between 2 candidate genes, EMSY and LRRC32 (leucine-rich repeat-containing 32) but the functional mechanisms affecting risk of AD remain unclear.
Objectives
We sought to apply a combination of genomic and molecular analytic techniques to investigate which genes are responsible for genetic risk at this locus and to define mechanisms contributing to atopic skin disease.
Methods
We used interrogation of available genomic and chromosome conformation data in keratinocytes, small interfering RNA (siRNA)–mediated knockdown in skin organotypic culture and functional assessment of barrier parameters, mass spectrometric global proteomic analysis and quantitative lipid analysis, electron microscopy of organotypic skin, and immunohistochemistry of human skin samples.
Results
Genomic data indicate active promoters in the genome-wide association study locus and upstream of EMSY; EMSY, LRRC32, and intergenic variants all appear to be within a single topologically associating domain. siRNA-knockdown of EMSY in organotypic culture leads to enhanced development of barrier function, reflecting increased expression of structural and functional proteins, including filaggrin and filaggrin-2, as well as long-chain ceramides. Conversely, overexpression of EMSY in keratinocytes leads to a reduction in markers of barrier formation. Skin biopsy samples from patients with AD show greater EMSY staining in the nucleus, which is consistent with an increased functional effect of this transcriptional control protein.
Conclusion
Our findings demonstrate an important role for EMSY in transcriptional regulation and skin barrier formation, supporting EMSY inhibition as a therapeutic approach.
Key words: Atopic dermatitis, atopic eczema, EMSY, filaggrin, genetics, genomics, organotypic, lipidomics, proteomics, siRNA knockdown
Abbreviations used: AD, Atopic dermatitis; DMEM, Dulbecco modified Eagle medium; EGF, Epidermal growth factor; FLG, Gene encoding filaggrin; GO, Gene ontology; GWAS, Genome-wide association study; Hi-C, Genome-wide chromosome conformation capture and high-throughput sequencing to identify regions of DNA showing interaction in 3-dimensional space; LRRC32, Leucine-rich repeat-containing 32 gene, encoding the glycoprotein A repetitions predominant (GARP) protein; NHK, Normal human keratinocytes; NDF, Normal dermal fibroblasts; qPCR, Quantitative PCR; siRNA, Small interfering RNA; SNP, Single nucleotide polymorphism; TEWL, Transepidermal water loss
Graphical abstract
Atopic dermatitis (AD; or eczema1) is a common inflammatory skin disease with strong heritability.2 Genome-wide association studies (GWASs) have identified multiple loci affecting AD risk,3 including effects on the skin barrier and immune function,2, 4 and it has been demonstrated in other complex traits that molecular mechanisms defined by GWAS loci might represent effective therapeutic targets.5
The most widely replicated genetic risk for AD lies within the epidermal differentiation complex on chromosome 1q21.33, 6, 7; this includes FLG, which encodes the skin barrier protein filaggrin.8 Expression levels of filaggrin and its metabolites in the outer epidermis correlate with AD activity.9, 10 However, this mechanism has not been successfully targeted in therapy development since its discovery more than 10 years ago.
An association peak within an intergenic region on chromosome 11q13.5 was identified in the earliest AD GWAS.6 This locus has been replicated in subsequent GWASs11, 12, 13 and meta-GWASs.3, 7 In addition to AD, the region is associated with multiple atopic phenotypes14, 15 and other disorders characterized by epithelial barrier dysfunction, including polyallergen sensitization,14, 16 asthma,17 allergic rhinitis,18 food allergy,19, 20 eosinophil counts,21 eosinophilic esophagitis,22 inflammatory bowel disease,23 and the gut microbiome.24 The AD-associated single nucleotide polymorphisms (SNPs) are in an intergenic region between LRRC32 (leucine-rich repeat-containing 32), and EMSY.
LRRC32 encodes the TGF-β activator LRRC32 (UniProtKB Q14392), previously termed glycoprotein A repititions predominant (GARP), a membrane protein that binds latent TGF-β1 on the surfaces of activated regulatory T cells.25 LRRC32 has been proposed as a causal gene for atopic skin inflammation,26 but the credible SNPs identified by GWASs at this locus are all intergenic,3 suggesting that regulatory rather than coding variants drive the association.
EMSY, also known as BRCA2-interacting transcriptional repressor and previously termed C11orf30, codes for the protein EMSY (UniProtKB Q7Z589), which is expressed in multiple human tissues, including cerebellum, breast, lung, ovary, uterus, and skin (GTEx RNA-seq, V7). EMSY has been characterized as a transcriptional regulator, either repressing transcription as part of a chromatin remodeling complex or activating transcription as part of a histone H3–specific methyltransferase complex.27 EMSY amplification is associated with DNA damage and increased risk of malignancy in breast and ovarian tissue.27 EMSY can also play a role in inflammation because the protein kinase AKT1 regulates the interferon response through phosphorylation of EMSY,28 but its role in skin remains undefined.
We set out to investigate, using genetic and genomic data, whether EMSY, LRRC32, or both, showed evidence of activity in human skin cells. We then investigated the mechanism of effect using functional and multi-omics analysis of organotypic skin, followed by immunostaining of AD biopsy samples.
Methods
Human tissues and cells
All human tissues were obtained with written informed consent from donors under the governance of and with ethical approval from the NHS Research Scotland Biorepository in Tayside. Primary keratinocytes and donor-matched primary fibroblasts were extracted from skin samples discarded from plastic surgery procedures. AD skin samples were identified from the hospital pathology database as consecutive unselected cases. Demographic details are provided in the Methods section in this article's Online Repository at www.jacionline.org.
Cell and skin organotypic cultures
Normal human keratinocytes (NHKs) and normal dermal fibroblasts (NDFs) were isolated from healthy breast skin by means of sequential collagenase D and trypsin EDTA digestion, as previously described.29 NHKs were cocultured in RM medium (3:1 Dulbecco modified Eagle medium [DMEM]/Hams F12, 10% FCS, 0.4 μg/mL hydrocortisone, 5 μg/mL insulin, 10 ng/mL epidermal growth factor [EGF], 5 μg/mL transferrin, 8.4 ng/mL cholera toxin, and 13 ng/mL liothyronine; Sigma-Aldrich, Gillingham, Dorset, United Kingdom) along with mitomycin C–inactivated 3T3 feeder cells.30 EGF was omitted for the first day of culture. NDFs were cultured in DMEM supplemented with 10% FCS under standard conditions.
Fibrin gel dermal equivalents were prepared by using a protocol adapted from published methods.31, 32, 33 A volume of 0.5 mL fibrinogen (35 mg/mL in NaCl; Sigma-Aldrich) and 0.5 mL of thrombin (3 U/mL in 2 mmol/L CaCl2/1.1% NaCl; Sigma-Aldrich) were combined on ice, supplemented with 200,000 NDFs and aprotinin (0.1 U/mL; Sigma-Aldrich), and transferred to a 12-well plate. After 30 minutes of incubation at 37°C, the gels were covered in medium (DMEM, 10% FCS, and 0.1 U/mL aprotinin) and cultured overnight (day 1). The following day, medium was replaced with RM medium excluding EGF, 0.1 U/mL aprotinin, and 2 × 106 suspended NHKs (day 2). This was refreshed daily for the next 2 days (day 3 and 4) with RM medium containing 0.1 ng/mL EGF and 0.1 U/mL aprotinin. On day 5, gels were carefully removed from wells by using a plastic spatula and lifted onto custom-made steel grids lined with nylon gauze (Millipore, Livingston, United Kingdom). RM medium supplemented with 0.1 ng/mL EGF and 0.1 U/mL aprotinin was added up to the base of the grid, enabling the fibrin gels to be nourished from below and the epidermis cultured at the air-liquid interface. Medium was refreshed every other day until day 12 when the cultures were analyzed. Where required, the epidermis was isolated from fibrin gel after hypertonic saline–induced split (4 hours, 1 mol/L NaCl, 4°C).
Small interfering RNA–mediated knockdown
NHKs were reverse transfected immediately before inclusion in the organotypic cultures by using RNAiMax transfection reagent (Life Technologies, Carlsbad, Calif), according to the manufacturer's instructions. Briefly, small interfering RNA (siRNA) complexes were formed in Opti-MEM medium (20 μmol/L siRNA and 5 μL of RNAiMAX) and, after 20 minutes of incubation, combined with 2 × 106 suspended NHKs and transferred to the preprepared dermal substrate. A pool of 4 siRNA duplexes was used (EMSY: LQ-004081-00-0002, FLG: LQ-021718-00-0002, control: ON-TARGETplus nontargeting siRNA #4 D.001810-04-20; Dharmacon, Lafayette, Colo).
EMSY overexpression in primary keratinocytes
A second-generation lentiviral system was used, as follows. Pseudoviral particles were prepared with psPAX2 packaging (catalog no. 12260; AddGene, Watertown, Mass) and pMD2.G plasmid (catalog no. 12259; AddGene), which were cotransfected with the control pLenti-C-mGFP-P2A-puromycin–tagged cloning vector (catalog no. PS100093; OriGene, Rockville, Md) plasmid or with the Lenti-ORF clone of mGFP-tagged-human chromosome 11 open reading frame 30 (C11orf30; catalog no. RC216916L4; OriGene) plasmid with Lipofectamine-3000 transfection reagent (catalog no. L3000008; Invitrogen, Carlsbad, Calif), according to the manufacturer's protocol, into 293T packaging cells for 16 hours. The next morning, the cells were washed twice with PBS to remove excess plasmid DNA, and the medium was replaced with virus-producing medium (20% FBS/DMEM). Forty-eight, 72, and 96 hours after transfection, the first, second, and third viral supernatants were harvested. Viral supernatants were spun down at 1200 rpm for 15 minutes and filtered with a 0.45-μm filter.
Primary human keratinocytes from donor skin were transduced twice. The first transduction was in RM medium without EGF. After treatment, the keratinocytes with trypsin and 1 × 106 cells/well were mixed with 10 μg/mL Polybrene (hexadimethrine bromide; catalog no. H9268; Sigma-Aldrich) and 1 or 2 mL of viral supernatant and then plated onto 6-well plates and cultured overnight. The second transduction was performed in monolayer culture using RM medium without EGF, 10 μg/mL Polybrene, and 1 or 2 mL of viral supernatant. Cells were incubated for 90 minutes at 37°C, followed by centrifugation at 1200 rpm. To eliminate excess virus, cells were washed twice with PBS, and the medium was replaced with RM media (3:1 DMEM/Hams F12, 10% FCS, 0.4 μg/mL hydrocortisone, 5 μg/mL insulin, 10 ng/mL EGF, 5 μg/mL transferrin, 8.4 ng/mL cholera toxin, and 13 ng/mL liothyronine). Fresh RM medium was replaced every second day, and samples were harvested on day 10 after transduction as a differentiated culture.
Fluorescent dye penetration
Fifty microliters of 1 mmol/L Lucifer yellow dye (Sigma-Aldrich) was added to the epidermal surface of the organotypic culture and incubated at 37°C for 4 hours. Metal cloning rings were used to control uniform dosing on the epidermal surface. Lucifer yellow was removed, and the organotypic cultures were washed in PBS before formalin-fixed paraffin embedding under standard conditions. Four-micrometer sections were deparaffinized, counterstained with 4′-6-diamidino-2-phenylindole dihydrochloride (1 μg/mL for 10 minutes; Life Technologies, Carlsbad, Calif), and imaged with a confocal Zeiss LSM710 microscope (Zeiss, Oberkochen, Germany). Quantification of dye penetration in the upper dermis (average intensity in the upper 40 μm) was performed with Zeiss Zen software and compared by using paired t tests.
Transepidermal water loss
Organotypic cultures were equilibrated at room temperature and atmospheric conditions for 30 minutes before transepidermal water loss (TEWL) was measured at 2 locations on the epidermal surface with an AquaFlux AF200 instrument (Biox Systems, London, United Kingdom) with a custom (5 mm in diameter) probe head. TEWL measurements were taken every second for a minimum of 60 seconds until a stable reading, as determined by using the software, was obtained.
Capacitance
Organotypic cultures were equilibrated at room temperature and atmospheric conditions for 30 minutes before measurement of epidermal surface capacitance as a measure of water content with a Corneometer (Courage and Khazaka, Cologne, Germany). Three measurements were recorded from each organotypic culture, and the mean was calculated.
Protein data analysis
Network analysis was performed by using Ingenuity Pathway Analysis (Qiagen Ingenuity, version 01-12; Qiagen, Hilden, Germany). Gene ontology (GO) enrichment analysis was performed in the Gene Ontology Consortium online tool by using PANTHER classification http://www.geneontology.org/page/go-enrichment-analysis (accessed August 28, 2018). A volcano plot was generated in R/ggplot2 by using human proteins detected in all 4 of the replicates to calculate the fold change (nontargeting control/EMSY knockdown) for each donor with log10 transformation and a t test for significance.
Lipid staining
Frozen sections of skin organotypic samples were cut and air-dried onto slides before formalin fixation and rinsing with 60% isopropranol. Oil Red O (Sigma-Aldrich) working solution was freshly prepared, and sections were stained for 15 minutes, rinsed with 60% isopropanol, and then lightly counterstained with alum hematoxylin before a final rinse with distilled water.
Additional Methods are described in this article's Online Repository at www.jacionline.org.
Results
Genomic data support EMSY and LRRC32 as candidate genes in skin
The AD-associated SNPs at the chromosome 11q13.5 locus are approximately 27 kb downstream of EMSY (Human Genome Nomenclature Committee: 18071, ENSG00000158636) and approximately 77 kb downstream of LRRC32 (Human Genome Nomenclature Committee: 137207, ENSG00000137507). The credible set identified by mapping this locus lies entirely within an intergenic region (Fig 1). Encyclopedia of DNA Elements (ENCODE) and Ensembl data predict multiple regulatory features within the region of disease risk SNPs, and there are putative promoters upstream of each gene (Fig 1). Focusing on skin, there are histone H3K27ac marks indicating active enhancers or promoters in NHKs in the AD risk locus and at the 3′ end of EMSY but not LRRC32 (Fig 1).
Enhancer-promoter interactions can occur by proximity in 3-dimensional space34 and show cell lineage specificity35; therefore we reanalyzed 2 sets of genome-wide chromosome conformation capture and high-throughput sequencing (Hi-C) data from NHKs, to identify regions of DNA showing interaction in 3-dimensional space. Interrogation of Hi-C data36 shows that the intergenic SNPs, as well as EMSY and LRRC32 all lie within a single topologically associated domain in keratinocytes (see Fig E1 in this article's Online Repository at www.jacionline.org), supporting a possible functional interaction. Analysis of promoter-capture Hi-C37 in differentiating keratinocytes showed evidence of interaction between the promoter region of LRRC32 and the intergenic SNP locus, but these data were not sufficiently detailed to determine whether EMSY also shows conformational interaction (see Fig E1).
Gene expression data38 and our own single-molecule RNA-sequencing analysis39 confirm expression of each gene in the skin, but there is no significant difference in EMSY or LRRC32 mRNA abundance in atopic skin compared with nonatopic control skin (P > .05, see Fig E2 in this article's Online Repository at www.jacionline.org). However, EMSY is more highly expressed in skin than LRRC32 at the protein level (https://www.proteinatlas.org/), and it has not previously been studied in keratinocyte biology; therefore EMSY was selected for further detailed investigation.
EMSY knockdown in a skin organotypic model enhances barrier function
To investigate a functional effect of EMSY in skin, we used primary human keratinocytes seeded onto a dermal equivalent, which forms an organotypic model with stratified layers that effectively recapitulate the structure and gene expression patterns of human skin.40 The model also demonstrates functional parameters controlling the entry and exit of small molecules, and this can be used to quantify effects on barrier formation and function.41 siRNA knockdown of EMSY expression was achieved by means of transfection of keratinocytes immediately before seeding onto the dermal equivalent. Knockdown was confirmed at the mRNA and protein levels, persisting to 10 days in organotypic culture (Fig 2, A-C). Equivalent effects were seen by using individual and pooled siRNAs (see Fig E3 in this article's Online Repository at www.jacionline.org). EMSY knockdown produced a marked phenotypic change (Fig 2, D), including thickening of the epidermal cell layer and stratum corneum (Fig 2, E). There was an increase in the number of layers within the stratum corneum and the frequency of corneodesmosomes (Fig 2, F). The stratum granulosum, the site of filaggrin expression,8 was also more prominent (Fig 2, D), and increased filaggrin expression was confirmed by using quantitative PCR (qPCR; n = 7 replicates, mean ± SEM fold change = 2.00 ± 0.41 compared with the nontargeting control) and Western blotting (n = 7, mean fold change = 1.97 ± 0.22; Fig 2, G).
In our skin culture model stratum corneum hydration, TEWL, and Lucifer yellow dye penetration progressively decrease as the skin barrier is formed (see Fig E4 in this article's Online Repository at www.jacionline.org). EMSY knockdown in the skin model resulted in a reduction in stratum corneum hydration (Fig 3, A), a reduction in TEWL (Fig 3, B), and a reduction in penetration of the Lucifer yellow dye (Fig 3, C and D), which is in keeping with enhanced and accelerated barrier development compared with control siRNA treatment.
EMSY overexpression reduces filaggrin expression
In contrast to the phenotype observed with EMSY knockdown, overexpression of EMSY in primary human keratinocytes resulted in a reduction in multiple markers of differentiation and barrier formation at the mRNA and protein levels (Fig 4 and see Fig E5 in this article's Online Repository at www.jacionline.org).
Proteomic analysis reveals pathways inhibiting the development of dermatitis
To assess in more detail the EMSY knockdown phenotype, we applied tandem mass spectrometric global proteomic analysis (MS/MS) to donor-matched control and EMSY knockdown organotypic experiments from 4 independent donors. Total epidermal protein extracts were fractionated by using high-pH reversed-phase chromatography before tandem mass spectrometry, which identified more than 9000 proteins per sample (see Fig E6 in this article's Online Repository at www.jacionline.org). qPCR and Western blotting confirmed knockdown of EMSY in each sample. A greater proportion of proteins showed increased rather than decreased expression on EMSY knockdown (Fig 5, A), indicating that EMSY's predominant role is as a transcriptional repressor in this tissue.
Data were filtered for proteins showing changes in the same direction consistently across all 4 biological replicates and fold changes of 2.5 or greater (n = 154 proteins) or 0.5 or less (n = 130 proteins) in at least 3 of 4 of the biological replicates. Consistent direction of change was used as a criterion to focus analysis on changes of relevance to EMSY knockdown and showing reproducibility across different donors to minimize any effect of interindividual differences.
GO analysis of the upregulated proteins showed enrichment for the biological processes termed establishment of the skin barrier (GO: 0061436), skin development (GO: 0043588), regulation of water loss through the skin (GO: 0033561), and cornification (GO: 0070268; each false discovery rate: P ≤ .037). GO analysis of the downregulated proteins showed enrichment of cellular components termed cytosol (GO: 0005829), the mitochondrial membrane (GO: 0031966), and the Golgi membrane (GO: 0000139; each false discovery rate: P ≤ .010). The full lists of GO terms defined by using this analysis are shown in Fig E7 in this article's Online Repository at www.jacionline.org.
Pathway analysis (Ingenuity, version 01-12; Qiagen) identified upregulation of pathways predicted to inhibit the development of dermatitis and ichthyosis (Fig 5, B).42, 43, 44, 45, 46, 47, 48 Differential expression levels of proteins from these pathways were tested for validation by using qPCR, Western blotting, and/or immunostaining of organotypic skin. All positive and negative findings and untested proteins are displayed in Fig E8 in this article's Online Repository at www.jacionline.org.
EMSY knockdown increases long-chain ceramides
Organotypic samples showed an increase in abundance of epidermal lipid staining with EMSY knockdown (Fig 6, A), which is in keeping with the increase in levels of proteins involved with lipid metabolism (eg, STS, ALOXE3, ALOX12B, and APOE). Mass spectrometric lipid analysis showed an increase in long-chain ceramides and esterified omega-hydroxy-ceramides species in organotypic samples with EMSY knockdown (Fig 6, B); these are the ceramides that have previously been reported to show a reduction in AD skin samples.49
EMSY knockdown increases cell-cell adhesion structures
Ultrastructural analysis demonstrated an increase in desmosome size (Fig 6, C), which is consistent with the observed increase in desmocollin 1 levels. An increase in the number of layers within the stratum corneum was also observed, which is consistent with the increase in corneodesmosin levels (Fig 2, F, and see Fig E9 in this article's Online Repository at www.jacionline.org).
EMSY shows predominantly nuclear localization in the skin affected by AD
To investigate EMSY expression in human skin samples, we compared 18 normal control skin samples and biopsy specimens from 14 patients with spongiotic dermatitis, AD, or both. Immunohistochemistry showed considerable interindividual variability in EMSY staining, despite careful standardization of staining conditions, and there was no consistent difference in total intensity between cases and control subjects (see Fig E10 in this article's Online Repository at www.jacionline.org). However, all 14 AD cases showed greater nuclear than cytoplasmic staining, and 12 (86%) of 14 cases showed predominantly nuclear staining extending throughout the epidermis compared with 2 (11%) of 18 control subjects (example images are shown in Fig 7, and all images are shown in Fig E10). Similarly, control organotypic samples showed EMSY staining in nuclei throughout the epidermis, whereas the organotypic cultures with EMSY knockdown showed expression predominantly in the basal epidermis in keratinocyte nuclei. Thus increased nuclear expression is consistent with increased activity of EMSY as a transcriptional regulator within keratinocytes in lesional skin of patients with AD.
Discussion
GWASs have provided valuable insight into the pathogenic mechanisms of many common complex traits, and some have been exploited for targeted therapy development.5, 50, 51 However, many of the loci identified by GWASs are intergenic, and the molecular mechanisms require detailed functional analysis performed in disease-relevant tissue to characterize important pathomechanisms.52 Increasing understanding of the regulatory features in intergenic DNA53, 54 provides insight into possible effector genes, either locally or distant from variants identified by GWAS. Skin as an organ that can be cultured in vitro offers an opportunity to investigate genetic mechanisms using primary cells, quantification of barrier function, and detailed molecular analyses. Cells extracted from normal human skin have been used in our model to investigate the effect of a single candidate gene without the multiple genetic and epigenetic effects that would be coinherited in cells harvested from a patient with AD.2 Use of primary cells more closely represents skin physiology than an immortalized cell line, and replication in multiple donors is used to control for interindividual variation.
Our findings from genomic data and in vitro and ex vivo analyses converge to provide an understanding of the role of EMSY in skin barrier function. The epigenetic regulatory mechanisms indicated by methylation and chromosomal confirmation (Fig 1) provide a possible mechanism by which the intergenic SNPs associated with AD can affect EMSY expression. However, additional epigenetic mechanisms,55 including other forms of histone modification, micro-RNAs, and long noncoding RNAs, might also play roles in EMSY transcriptional control. The greater nuclear localization of EMSY in lesional skin of patients with AD indicates increased activity of this transcriptional repressor. This is in keeping with our findings in primary cell cultures, where EMSY overexpression leads to a reduction in levels of multiple proteins that have previously been shown to be biomarkers for AD.56, 57, 58 Improvements in analytic capacity have increased understanding of the importance of lipid composition in epidermal physiology and pathophysiology, including atopic disease,59 and the observed increase in relevant lipid species emphasizes the role of EMSY in controlling multiple aspects of skin barrier function.
It is interesting to note that EMSY knockdown increases filaggrin expression, whereas EMSY overexpression leads to a marked reduction in profilaggrin levels. This might in part explain the observation that the genetic risk variants in chromosome 11q13.5 and FLG show a multiplicative effect in population analysis.60 Chromosome 11q13.5 and the FLG locus also both show their strongest associations within a subgroup of early-onset and persistent AD in childhood,61 which is in keeping with their combined effect leading to a more severe phenotype.
EMSY loss-of-function mutations are rare: they are detected in 1/60,000 unrelated subjects in the Exome Aggregation Consortium,62 the minor allele frequency is approximately 0.001 in the Exome Variant Server,63 and there are no homozygous loss-of-function genotypes identified in gnomAD.64 This is consistent with our finding that even a modest reduction in expression (mean approximately 33% reduction in mRNA or protein in our experimental model) results in a marked phenotypic change in organotypic cultures.
Together, these observations indicate that loss-of-function mutations are likely to have a deleterious effect, and more subtle modulation of EMSY expression is required for optimal skin barrier function. Therefore it is tempting to speculate that the control of FLG expression and skin barrier function through EMSY might be a more sensitive mechanism to exploit than targeting filaggrin directly. It might also be a more tractable target because the therapeutic effect would be achieved by knockdown of EMSY rather than attempting to increase expression of filaggrin.
Loci reaching statistical significance in genome-wide analyses might reflect the combination of more than 1 functional association, and multieffect loci have been observed in patients with AD, as well as other complex traits.12, 65 Our finding of a role for EMSY in keratinocytes does not preclude an additional effect of EMSY through expression in T cells,66 which are known to play a key role in AD pathogenesis.2 Intriguingly, immunohistochemistry also reveals EMSY staining within the nuclei of cells in the dermis (Fig 6 and see Fig E10). This might represent an inflammatory infiltrate, including T cells, and warrants further investigation. Similarly, the genomic promoter-capture Hi-C analysis (see Fig E1) provides more support for a possible promoter-promoter interaction between the GWAS locus and LRRC32 than EMSY, suggesting that an effect through LRRC32 expression in keratinocytes or T cells might also play a role in the pathogenesis of AD. Further work, including high-resolution 3C,67 could be used to finely map these important regulatory interactions.
Expression quantitative trait locus analysis is an approach that has been used to investigate genes responsible for risk mechanisms attributable to intergenic loci.68 However, expression quantitative trait locus analysis relies on the genetic variants having a quantitative effect on mRNA abundance of sufficient magnitude to be detected with a suitably stringent level of statistical significance.69 Other mechanisms can affect disease risk without substantially altering the total amount of mRNA, such as protein localization at a functional site, as appears to be the case for EMSY. Furthermore, EMSY has at least 7 isoforms produced by alternative splicing, as well as 14 annotated phosphorylation or glycosylation sites (https://www.uniprot.org/uniprot/Q7Z589); it is likely that these mechanisms also contribute to functional regulation in different cell and tissue types.
Analysis of a single cell type, the keratinocyte, at different stages of terminal differentiation represents a reductionist view of the epidermis, but the skin organotypic model has proved to be a valuable model for investigation of molecular mechanisms controlling differentiation in this multilayered tissue.40, 70 A limitation to the model is that the various dermal appendages (eg, hair follicles, sweat glands, and sebaceous glands) are absent, as are the dermal blood vessels and neurons, although these might play a role in skin inflammation.71, 72 Immune cells of the hematopoietic lineage are also missing from this model, but there is increasing recognition of the role of keratinocytes in immune signaling,73, 74 and the organotypic culture displays innate immunologic mechanisms.
The work presented here has identified EMSY as a therapeutic target: knockdown in vivo is predicted to improve skin barrier function and protect against AD. However, considerable further work is needed, including high-throughput screening to identify molecules capable of reducing the abundance of nuclear EMSY, followed by preclinical testing, before these findings can be assessed in clinical trials. The advent of biological therapy to target the immune component of AD has transformed care for patients with moderate-to-severe disease,75 but therapies designed to improve skin barrier function are also required as an alternative or complementary approach for this complex and therapeutically challenging disorder.
Key messages.
-
•
Genetic risk loci offer the opportunity for insight into the cause of complex disease, but the mechanisms require detailed molecular investigation.
-
•
The AD-associated locus on chromosome 11q13.5 lies between 2 candidate genes: EMSY and LRRC32.
-
•
Our genetic, proteomic, and immunohistologic analyses have together demonstrated a role for EMSY expression in the control of skin barrier formation and function, which are of importance in patients with AD.
-
•
Therefore EMSY represents a future therapeutic target in atopic disease.
Acknowledgments
We are very grateful to the anonymous skin donors who gave consent for their samples to be accessed for research under the governance of the NHS Research Scotland Biorepository Tayside. We thank Dr Andrew South, Dr Celine Pourreyron, Dr Michael Mildner, and Professor Erwin Tschachler for expert advice on skin organotypic culture methods; Dr Paul Appleton for technical expertise and advice on microscopy; Dr Lynda Weir for her contributions to antibody validation; Mr Seshu Tammireddy for his technical work in lipid analysis; Dr Adam Rubin and Professor Paul Khavari for clarification of their data stored on GEO; and Professor Jim Hughes and Dr Damien Downes for expert advice on Hi-C data analysis. We acknowledge Mohan Babu, University of Regina, for the production, and Addgene for storage and supply of the EMSY overexpression plasmid 83480 lentiCRISPR v2-Blast.
The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository (https://www.ebi.ac.uk/pride/archive/) with the dataset identifier PXD014088; processed data are available in the Encyclopedia of Proteome Dynamics (https://www.peptracker.com/accounts/login/epd/); selected analysis results are available via FigShare (DOI 10.6084/m9.figshare.8088617 and 10.6084/m9.figshare.8088611). Materials are available within ethical constraints and with an MTA by request to the corresponding authors.
Footnotes
Supported by a Wellcome Trust Senior Research Fellowship in Clinical Science, awarded to S.J.B. (reference 106865/Z/15/Z). The Brown laboratory has also received financial support from the Manknell Charitable Trust and the Tayside Dermatology Research Charity. L.P. is supported by an Academy of Medical Sciences Springboard award, which is supported by the Wellcome Trust; the Government Department for Business,Energy and Industrial Strategy; the Global Challenges Research Fund; and the British Heart Foundation (SBF003/1094). L.P. works in the MRC Integrative Epidemiology Unit, which receives funding from the UK Medical Research Council (MC_UU_00011/1). The mass spectrometry proteomic analysis was supported by grants to AIL from the Wellcome Trust (105024/Z/14/Z, 108058/Z/15/Z). The Dundee Imaging Facility is supported by a Wellcome Trust Technology Platform award (097945/B/11/Z). The UHI Lipidomics Research Facility acknowledges the support of the European Regional Development Fund, Scottish Funding Council, and Highlands and Islands Enterprise.
Disclosure of potential conflict of interest: The authors declare that they have no relevant conflicts of interest.
Contributor Information
Martina S. Elias, Email: m.elias@dundee.ac.uk.
Sara J. Brown, Email: s.j.brown@dundee.ac.uk.
Supplementary data
References
- 1.Johansson S., Bieber T., Dahl R., Friedmann P., Lanier B., Lockey R. Revised nomenclature for allergy for global use: report of the Nomenclature Review Committee of the World Allergy Organization, October 2003. J Allergy Clin Immunol. 2004;113:832–836. doi: 10.1016/j.jaci.2003.12.591. [DOI] [PubMed] [Google Scholar]
- 2.Weidinger S., Novak N. Atopic dermatitis. Lancet. 2016;387:1109–1122. doi: 10.1016/S0140-6736(15)00149-X. [DOI] [PubMed] [Google Scholar]
- 3.Paternoster L., Standl M., Waage J., Baurecht H., Hotze M., Strachan D.P. Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis. Nat Genet. 2015;47:1449–1456. doi: 10.1038/ng.3424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Brown S.J. Molecular mechanisms in atopic eczema: insights gained from genetic studies. J Pathol. 2017;241:140–145. doi: 10.1002/path.4810. [DOI] [PubMed] [Google Scholar]
- 5.Finan C., Gaulton A., Kruger F.A., Lumbers R.T., Shah T., Engmann J. The druggable genome and support for target identification and validation in drug development. Sci Transl Med. 2017;9 doi: 10.1126/scitranslmed.aag1166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Esparza-Gordillo J., Weidinger S., Folster-Holst R., Bauerfeind A., Ruschendorf F., Patone G. A common variant on chromosome 11q13 is associated with atopic dermatitis. Nat Genet. 2009;41:596–601. doi: 10.1038/ng.347. [DOI] [PubMed] [Google Scholar]
- 7.Paternoster L., Standl M., Chen C.M., Ramasamy A., Bonnelykke K., Duijts L. Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis. Nat Genet. 2011;44:187–192. doi: 10.1038/ng.1017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Irvine A.D., McLean W.H., Leung D.Y. Filaggrin mutations associated with skin and allergic diseases. N Engl J Med. 2011;365:1315–1327. doi: 10.1056/NEJMra1011040. [DOI] [PubMed] [Google Scholar]
- 9.Winge M.C., Hoppe T., Berne B., Vahlquist A., Nordenskjold M., Bradley M. Filaggrin genotype determines functional and molecular alterations in skin of patients with atopic dermatitis and ichthyosis vulgaris. PLoS One. 2011;6:e28254. doi: 10.1371/journal.pone.0028254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Brown S.J., Kroboth K., Sandilands A., Campbell L.E., Pohler E., Kezic S. Intragenic copy number variation within filaggrin contributes to the risk of atopic dermatitis with a dose-dependent effect. J Invest Dermatol. 2012;132:98–104. doi: 10.1038/jid.2011.342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Schaarschmidt H., Ellinghaus D., Rodriguez E., Kretschmer A., Baurecht H., Lipinski S. A genome-wide association study reveals 2 new susceptibility loci for atopic dermatitis. J Allergy Clin Immunol. 2015;136:802–806. doi: 10.1016/j.jaci.2015.01.047. [DOI] [PubMed] [Google Scholar]
- 12.Ellinghaus D., Baurecht H., Esparza-Gordillo J., Rodriguez E., Matanovic A., Marenholz I. High-density genotyping study identifies four new susceptibility loci for atopic dermatitis. Nat Genet. 2013;45:808–812. doi: 10.1038/ng.2642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hirota T., Takahashi A., Kubo M., Tsunoda T., Tomita K., Sakashita M. Genome-wide association study identifies eight new susceptibility loci for atopic dermatitis in the Japanese population. Nat Genet. 2012;44:1222–1226. doi: 10.1038/ng.2438. [DOI] [PubMed] [Google Scholar]
- 14.Ferreira M.A., Vonk J.M., Baurecht H., Marenholz I., Tian C., Hoffman J.D. Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology. Nat Genet. 2017;49:1752–1757. doi: 10.1038/ng.3985. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zhu Z., Lee P.H., Chaffin M.D., Chung W., Loh P.R., Lu Q. A genome-wide cross-trait analysis from UK Biobank highlights the shared genetic architecture of asthma and allergic diseases. Nat Genet. 2018;50:857–864. doi: 10.1038/s41588-018-0121-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Amaral A.F., Minelli C., Guerra S., Wjst M., Probst-Hensch N., Pin I. The locus C11orf30 increases susceptibility to poly-sensitization. Allergy. 2015;70:328–333. doi: 10.1111/all.12557. [DOI] [PubMed] [Google Scholar]
- 17.Demenais F., Margaritte-Jeannin P., Barnes K.C., Cookson W.O.C., Altmuller J., Ang W. Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat Genet. 2018;50:42–53. doi: 10.1038/s41588-017-0014-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ramasamy A., Curjuric I., Coin L.J., Kumar A., McArdle W.L., Imboden M. A genome-wide meta-analysis of genetic variants associated with allergic rhinitis and grass sensitization and their interaction with birth order. J Allergy Clin Immunol. 2011;128:996–1005. doi: 10.1016/j.jaci.2011.08.030. [DOI] [PubMed] [Google Scholar]
- 19.Marenholz I., Grosche S., Kalb B., Ruschendorf F., Blumchen K., Schlags R. Genome-wide association study identifies the SERPINB gene cluster as a susceptibility locus for food allergy. Nat Commun. 2017;8:1056. doi: 10.1038/s41467-017-01220-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Asai Y., Eslami A., van Ginkel C.D., Akhabir L., Wan M., Ellis G. Genome-wide association study and meta-analysis in multiple populations identifies new loci for peanut allergy and establishes C11orf30/EMSY as a genetic risk factor for food allergy. J Allergy Clin Immunol. 2018;141:991–1001. doi: 10.1016/j.jaci.2017.09.015. [DOI] [PubMed] [Google Scholar]
- 21.Astle W.J., Elding H., Jiang T., Allen D., Ruklisa D., Mann A.L. The allelic landscape of human blood cell trait variation and links to common complex disease. Cell. 2016;167:1415–1429.e19. doi: 10.1016/j.cell.2016.10.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Sleiman P.M., Wang M.L., Cianferoni A., Aceves S., Gonsalves N., Nadeau K. GWAS identifies four novel eosinophilic esophagitis loci. Nat Commun. 2014;5:5593. doi: 10.1038/ncomms6593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.de Lange K.M., Moutsianas L., Lee J.C., Lamb C.A., Luo Y., Kennedy N.A. Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease. Nat Genet. 2017;49:256–261. doi: 10.1038/ng.3760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bonder M.J., Kurilshikov A., Tigchelaar E.F., Mujagic Z., Imhann F., Vila A.V. The effect of host genetics on the gut microbiome. Nat Genet. 2016;48:1407–1412. doi: 10.1038/ng.3663. [DOI] [PubMed] [Google Scholar]
- 25.Tran D.Q., Andersson J., Wang R., Ramsey H., Unutmaz D., Shevach E.M. GARP (LRRC32) is essential for the surface expression of latent TGF-beta on platelets and activated FOXP3+ regulatory T cells. Proc Natl Acad Sci U S A. 2009;106:13445–13450. doi: 10.1073/pnas.0901944106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Manz J., Rodriguez E., ElSharawy A., Oesau E.M., Petersen B.S., Baurecht H. Targeted resequencing and functional testing identifies low-frequency missense variants in the gene encoding GARP as significant contributors to atopic dermatitis risk. J Invest Dermatol. 2016;136:2380–2386. doi: 10.1016/j.jid.2016.07.009. [DOI] [PubMed] [Google Scholar]
- 27.Hughes-Davies L., Huntsman D., Ruas M., Fuks F., Bye J., Chin S.F. EMSY links the BRCA2 pathway to sporadic breast and ovarian cancer. Cell. 2003;115:523–535. doi: 10.1016/s0092-8674(03)00930-9. [DOI] [PubMed] [Google Scholar]
- 28.Ezell S.A., Polytarchou C., Hatziapostolou M., Guo A., Sanidas I., Bihani T. The protein kinase Akt1 regulates the interferon response through phosphorylation of the transcriptional repressor EMSY. Proc Natl Acad Sci U S A. 2012;109:E613–E621. doi: 10.1073/pnas.1115029109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Purdie K.J., Pourreyron C., South A.P. Isolation and culture of squamous cell carcinoma lines. Methods Mol Biol. 2011;731:151–159. doi: 10.1007/978-1-61779-080-5_14. [DOI] [PubMed] [Google Scholar]
- 30.Rheinwald J.G., Green H. Serial cultivation of strains of human epidermal keratinocytes: the formation of keratinizing colonies from single cells. Cell. 1975;6:331–343. doi: 10.1016/s0092-8674(75)80001-8. [DOI] [PubMed] [Google Scholar]
- 31.Tanikawa D.Y., Alonso N., Herson M.R., Mathor M.B., Caldini E.G., Lourenco S.V. Ultrastructural evaluation of human keratinocyte growth and differentiation on a fibrin substrate. Acta Cir Bras. 2010;25:541–548. doi: 10.1590/s0102-86502010000600015. [DOI] [PubMed] [Google Scholar]
- 32.Larcher F., Dellambra E., Rico L., Bondanza S., Murillas R., Cattoglio C. Long-term engraftment of single genetically modified human epidermal holoclones enables safety pre-assessment of cutaneous gene therapy. Mol Ther. 2007;15:1670–1676. doi: 10.1038/sj.mt.6300238. [DOI] [PubMed] [Google Scholar]
- 33.Meana A., Iglesias J., Del Rio M., Larcher F., Madrigal B., Fresno M.F. Large surface of cultured human epithelium obtained on a dermal matrix based on live fibroblast-containing fibrin gels. Burns. 1998;24:621–630. doi: 10.1016/s0305-4179(98)00107-7. [DOI] [PubMed] [Google Scholar]
- 34.Trynka G. Enhancers looping to target genes. Nat Genet. 2017;49:1564–1565. doi: 10.1038/ng.3982. [DOI] [PubMed] [Google Scholar]
- 35.Javierre B.M., Burren O.S., Wilder S.P., Kreuzhuber R., Hill S.M., Sewitz S. Lineage-specific genome architecture links enhancers and non-coding disease variants to target gene promoters. Cell. 2016;167:1369–1384.e19. doi: 10.1016/j.cell.2016.09.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Rao S.S., Huntley M.H., Durand N.C., Stamenova E.K., Bochkov I.D., Robinson J.T. A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell. 2014;159:1665–1680. doi: 10.1016/j.cell.2014.11.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Rubin A.J., Barajas B.C., Furlan-Magaril M., Lopez-Pajares V., Mumbach M.R., Howard I. Lineage-specific dynamic and pre-established enhancer-promoter contacts cooperate in terminal differentiation. Nat Genet. 2017;49:1522–1528. doi: 10.1038/ng.3935. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Suarez-Farinas M., Tintle S.J., Shemer A., Chiricozzi A., Nograles K., Cardinale I. Nonlesional atopic dermatitis skin is characterized by broad terminal differentiation defects and variable immune abnormalities. J Allergy Clin Immunol. 2011;127:954–964. doi: 10.1016/j.jaci.2010.12.1124. e1-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Cole C., Kroboth K., Schurch N.J., Sandilands A., Sherstnev A., O'Regan G.M. Filaggrin-stratified transcriptomic analysis of pediatric skin identifies mechanistic pathways in patients with atopic dermatitis. J Allergy Clin Immunol. 2014;134:82–91. doi: 10.1016/j.jaci.2014.04.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Sen G.L., Reuter J.A., Webster D.E., Zhu L., Khavari P.A. DNMT1 maintains progenitor function in self-renewing somatic tissue. Nature. 2010;463:563–567. doi: 10.1038/nature08683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Mildner M., Jin J., Eckhart L., Kezic S., Gruber F., Barresi C. Knockdown of filaggrin impairs diffusion barrier function and increases UV sensitivity in a human skin model. J Invest Dermatol. 2010;130:2286–2294. doi: 10.1038/jid.2010.115. [DOI] [PubMed] [Google Scholar]
- 42.Jobard F., Lefevre C., Karaduman A., Blanchet-Bardon C., Emre S., Weissenbach J. Lipoxygenase-3 (ALOXE3) and 12(R)-lipoxygenase (ALOX12B) are mutated in non-bullous congenital ichthyosiform erythroderma (NCIE) linked to chromosome 17p13.1. Hum Mol Genet. 2002;11:107–113. doi: 10.1093/hmg/11.1.107. [DOI] [PubMed] [Google Scholar]
- 43.Smith F.J., Irvine A.D., Terron-Kwiatkowski A., Sandilands A., Campbell L.E., Zhao Y. Loss-of-function mutations in the gene encoding filaggrin cause ichthyosis vulgaris. Nat Genet. 2006;38:337–342. doi: 10.1038/ng1743. [DOI] [PubMed] [Google Scholar]
- 44.Smith F.J., Maingi C., Covello S.P., Higgins C., Schmidt M., Lane E.B. Genomic organization and fine mapping of the keratin 2e gene (KRT2E): K2e V1 domain polymorphism and novel mutations in ichthyosis bullosa of Siemens. J Invest Dermatol. 1998;111:817–821. doi: 10.1046/j.1523-1747.1998.00371.x. [DOI] [PubMed] [Google Scholar]
- 45.Wirth B., Herrmann F.H., Neugebauer M., Gillard E.F., Wulff K., Stein C. Linkage analysis in X-linked ichthyosis (steroid sulfatase deficiency) Hum Genet. 1988;80:191–192. doi: 10.1007/BF00702868. [DOI] [PubMed] [Google Scholar]
- 46.Kogame T., Dainichi T., Shimomura Y., Tanioka M., Kabashima K., Miyachi Y. Palmoplantar keratosis in oculodentodigital dysplasia with a GJA1 point mutation out of the C-terminal region of connexin 43. J Dermatol. 2014;41:1095–1097. doi: 10.1111/1346-8138.12682. [DOI] [PubMed] [Google Scholar]
- 47.Oji V., Eckl K.M., Aufenvenne K., Natebus M., Tarinski T., Ackermann K. Loss of corneodesmosin leads to severe skin barrier defect, pruritus, and atopy: unraveling the peeling skin disease. Am J Hum Genet. 2010;87:274–281. doi: 10.1016/j.ajhg.2010.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Christiano A.M., Greenspan D.S., Hoffman G.G., Zhang X., Tamai Y., Lin A.N. A missense mutation in type VII collagen in two affected siblings with recessive dystrophic epidermolysis bullosa. Nat Genet. 1993;4:62–66. doi: 10.1038/ng0593-62. [DOI] [PubMed] [Google Scholar]
- 49.van Smeden J., Janssens M., Kaye E.C., Caspers P.J., Lavrijsen A.P., Vreeken R.J. The importance of free fatty acid chain length for the skin barrier function in atopic eczema patients. Exp Dermatol. 2014;23:45–52. doi: 10.1111/exd.12293. [DOI] [PubMed] [Google Scholar]
- 50.Okada Y., Wu D., Trynka G., Raj T., Terao C., Ikari K. Genetics of rheumatoid arthritis contributes to biology and drug discovery. Nature. 2014;506:376–381. doi: 10.1038/nature12873. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Sullivan P.F., Agrawal A., Bulik C.M., Andreassen O.A., Borglum A.D., Breen G. Psychiatric genomics: an update and an agenda. Am J Psychiatry. 2018;175:15–27. doi: 10.1176/appi.ajp.2017.17030283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Sud A., Kinnersley B., Houlston R.S. Genome-wide association studies of cancer: current insights and future perspectives. Nat Rev Cancer. 2017;17:692–704. doi: 10.1038/nrc.2017.82. [DOI] [PubMed] [Google Scholar]
- 53.Bulger M., Groudine M. Functional and mechanistic diversity of distal transcription enhancers. Cell. 2011;144:327–339. doi: 10.1016/j.cell.2011.01.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Pennisi E. Genomics. ENCODE project writes eulogy for junk DNA. Science. 2012;337:1159–1161. doi: 10.1126/science.337.6099.1159. [DOI] [PubMed] [Google Scholar]
- 55.Potaczek D.P., Harb H., Michel S., Alhamwe B.A., Renz H., Tost J. Epigenetics and allergy: from basic mechanisms to clinical applications. Epigenomics. 2017;9:539–571. doi: 10.2217/epi-2016-0162. [DOI] [PubMed] [Google Scholar]
- 56.Palmer C.N., Irvine A.D., Terron-Kwiatkowski A., Zhao Y., Liao H., Lee S.P. Common loss-of-function variants of the epidermal barrier protein filaggrin are a major predisposing factor for atopic dermatitis. Nat Genet. 2006;38:441–446. doi: 10.1038/ng1767. [DOI] [PubMed] [Google Scholar]
- 57.Lee U.H., Kim B.E., Kim D.J., Cho Y.G., Ye Y.M., Leung D.Y. Atopic dermatitis is associated with reduced corneodesmosin expression: role of cytokine modulation and effects on viral penetration. Br J Dermatol. 2017;176:537–540. doi: 10.1111/bjd.15010. [DOI] [PubMed] [Google Scholar]
- 58.Totsuka A., Omori-Miyake M., Kawashima M., Yagi J., Tsunemi Y. Expression of keratin 1, keratin 10, desmoglein 1 and desmocollin 1 in the epidermis: possible downregulation by interleukin-4 and interleukin-13 in atopic dermatitis. Eur J Dermatol. 2017;27:247–253. doi: 10.1684/ejd.2017.2985. [DOI] [PubMed] [Google Scholar]
- 59.Gruber F., Kremslehner C., Narzt M.S. The impact of recent advances in lipidomics and redox lipidomics on dermatological research. Free Radic Biol Med. 2019 doi: 10.1016/j.freeradbiomed.2019.04.019. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 60.O'Regan G.M., Campbell L.E., Cordell H.J., Irvine A.D., McLean W.H., Brown S.J. Chromosome 11q13.5 variant associated with childhood eczema: an effect supplementary to filaggrin mutations. J Allergy Clin Immunol. 2010;125:170–174. doi: 10.1016/j.jaci.2009.10.046. e1-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Paternoster L., Savenije O.E.M., Heron J., Evans D.M., Vonk J.M., Brunekreef B. Identification of atopic dermatitis subgroups in children from 2 longitudinal birth cohorts. J Allergy Clin Immunol. 2018;141:964–971. doi: 10.1016/j.jaci.2017.09.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.ExAC Exome Aggregation Consortium. http://exac.broadinstitute.org/gene/ENSG00000158636 Available at: Accessed December 5, 2018.
- 63.EVS Exome Variant Server. http://evs.gs.washington.edu/EVS/ Available at: Accessed December 5, 2018.
- 64.gnomAD Genome Aggregation Database. http://gnomad.broadinstitute.org/gene/ENSG00000158636 Available at: Accessed December 5, 2018.
- 65.Maurano M.T., Humbert R., Rynes E., Thurman R.E., Haugen E., Wang H. Systematic localization of common disease-associated variation in regulatory DNA. Science. 2012;337:1190–1195. doi: 10.1126/science.1222794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Patil V.S., Madrigal A., Schmiedel B.J., Clarke J., O'Rourke P., de Silva A.D. Precursors of human CD4(+) cytotoxic T lymphocytes identified by single-cell transcriptome analysis. Sci Immunol. 2018;3 doi: 10.1126/sciimmunol.aan8664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Davies J.O., Telenius J.M., McGowan S.J., Roberts N.A., Taylor S., Higgs D.R. Multiplexed analysis of chromosome conformation at vastly improved sensitivity. Nat Methods. 2016;13:74–80. doi: 10.1038/nmeth.3664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Franke L., Jansen R.C. eQTL analysis in humans. Methods Mol Biol. 2009;573:311–328. doi: 10.1007/978-1-60761-247-6_17. [DOI] [PubMed] [Google Scholar]
- 69.Liu B., Gloudemans M.J., Rao A.S., Ingelsson E., Montgomery S.B. Abundant associations with gene expression complicate GWAS follow-up. Nat Genet. 2019;51:768–769. doi: 10.1038/s41588-019-0404-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Kretz M., Siprashvili Z., Chu C., Webster D.E., Zehnder A., Qu K. Control of somatic tissue differentiation by the long non-coding RNA TINCR. Nature. 2013;493:231–235. doi: 10.1038/nature11661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Cevikbas F., Wang X., Akiyama T., Kempkes C., Savinko T., Antal A. A sensory neuron-expressed IL-31 receptor mediates T helper cell-dependent itch: Involvement of TRPV1 and TRPA1. J Allergy Clin Immunol. 2014;133:448–460. doi: 10.1016/j.jaci.2013.10.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Hendricks A.J., Vaughn A.R., Clark A.K., Yosipovitch G., Shi V.Y. Sweat mechanisms and dysfunctions in atopic dermatitis. J Dermatol Sci. 2018;89:105–111. doi: 10.1016/j.jdermsci.2017.11.005. [DOI] [PubMed] [Google Scholar]
- 73.Raguz J., Jeric I., Niault T., Nowacka J.D., Kuzet S.E., Rupp C. Epidermal RAF prevents allergic skin disease. Elife. 2016;5 doi: 10.7554/eLife.14012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Blunder S., Ruhl R., Moosbrugger-Martinz V., Krimmel C., Geisler A., Zhu H. Alterations in epidermal eicosanoid metabolism contribute to inflammation and impaired late differentiation in FLG-mutated atopic dermatitis. J Invest Dermatol. 2017;137:706–715. doi: 10.1016/j.jid.2016.09.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Simpson E.L., Bruin-Weller M., Flohr C., Ardern-Jones M.R., Barbarot S., Deleuran M. When does atopic dermatitis warrant systemic therapy? Recommendations from an expert panel of the International Eczema Council. J Am Acad Dermatol. 2017;77:623–633. doi: 10.1016/j.jaad.2017.06.042. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.