Transcriptomic studies to characterize the gene expression landscape of psoriasis
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-54456
PROVIDER: PRJNA269684 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1146080.fastq.gz | Fastqsanger.gz | |||
| SRR1146090.fastq.gz | Fastqsanger.gz | |||
| SRR1146100.fastq.gz | Fastqsanger.gz | |||
| SRR1146110.fastq.gz | Fastqsanger.gz | |||
| SRR1146120.fastq.gz | Fastqsanger.gz |
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Project description:This SuperSeries is composed of the SubSeries listed below.
2014-12-10 | GSE63980 | GEO
Project description:Psoriasis is a common chronic inflammatory skin disease determined by genetic and environmental factors, resulting in IL-23/IL-17-mediated immune activation and epidermal hyperproliferation and activation. Here, we performed RNA sequencing of CD45-negative epidermal cells from psoriasis lesions and healthy skin to characterize the landscape of coding and non-coding transcripts in keratinocytes in psoriasis and healthy skin.
2025-02-18 | GSE274560 | GEO
Project description:Optimizing single-cell transcriptomic discrimination of atopic dermatitis versus psoriasis vulgaris
| EGAS00001007487 | EGA
Project description:This study aims to understand the systemic component of psoriasis pathogenesis since psoriasis patients have higher risk of developing diesases beyond skin inflammation. In this study, we collected sigmoidal gut biopsies to profile host transcriptomic changes associated with psoriasis patients and healthy subjects. This exepriment provided transcriptomic dataset of host response and is integrated with fecal metagenomic data and flow cytometry dataset as part of the multi-omic study.
2020-06-30 | GSE150851 | GEO
Project description:The transcriptomic profiling of psoriasis has led to an increased understanding of disease pathogenesis. Although microarray technologies have been instrumental in this regard, it is clear that these tools detect an incomplete set of DEGs. RNA-seq can be used to supplement these prior technologies. Here, the use of RNAseq methods substantially increased the number of psoriasis-related DEGs. Furthermore, DEGs that were uniquely identified by RNA-seq, but not in other published microarray studies, further supported the role of IL-17 and tumor necrosis factor-a synergy in psoriasis. Examination of one of these factors at the protein level confirmed that RNA-seq is a powerful tool that can be used to identify molecular factors present in psoriasis lesions, and may be useful in the identification of therapeutic targets that to our knowledge have not been reported previously. Further studies are in progress to determine the biological significance of DEGs uniquely discovered by RNA-seq. To define the transcriptomic profile of psoriatic skin, three pairs of lesional and nonlesional skin biopsy specimens were taken from patients with untreated moderate-to-severe plaque psoriasis.
2012-10-22 | E-GEOD-41745 | biostudies-arrayexpress
Project description:Background: In present study we performed whole transcriptome analysis in plaque psoriasis patients and compared lesional skin with non-lesional skin and with the skin from healthy controls. We sequenced total RNA from 12 lesional (LP), 12 non-lesional (NLP) and from 12 normal (C) skin biopsies. Results: Compared with previous gene expression profiling studies we had three groups under analysis - LP, NLP and C. Using NLP samples allows to see the transcriptome of visually normal skin from psoriasis patient. In LP skin S100A12, S100A7A, LCE3E, DEFB4A, IL19 were found up regulated. In addition to already well-described genes, we also found several other, not so widely recognized transcripts, related to psoriasis. Namely, KLK9, OAS2, OAS3, PLA2G, IL36G, IL36RN were found to be significantly and consistently related to the psoriatic lesions. Ingenuity pathway analysis was used to define functional networks significantly enriched in the studied samples. The genes up-regulated in the LP samples were related to the innate immunity, IL17 and IL10 networks. In NLP samples innate immunity and IL17 network were activated, but activation of IL10 network was not evident. The transcriptional changes characteristic in the NLP samples can be considered as a molecular signature of “dormant psoriasis”. Conclusions: Taken together, our study described the transcriptome profile characteristic for LP and NLP psoriatic skin. RNA profile of the NLP skin is in between the lesional and healthy skin, with its own specific pattern. We found that both LP and NLP have up-regulated IL17 network, whereas LP skin has up regulated IL10 related cytokines (IL19, IL20, IL24). Moreover, IL36G and IL36RN were identified as strong regulators of skin pathology in both LP and NLP skin samples, with stronger influence in LP samples. 36 samples, 24 from psoriasis and 12 from controls
2015-04-24 | E-GEOD-66511 | biostudies-arrayexpress
Project description:To explore the cellullar and molecular alteration of human psoriasis, we collected full-thickness skin from the lesion region of 3 patients and the similar region of 3 healthy donors, and submit for single cell RNA sequencing (scRNAseq) with 10x genomics (V3.1). The transcriptional landscape of human psoriasis whole skin provide a unique view of immuno-regulation among skin cell types. 1. "Single cell transcriptional zonation of human psoriasis skin identifies an alternative immunoregulatory axis",<Cell Death Dis.>, 2021 May 6;12(5):450. https://yz-studio.shinyapps.io/shinyapph5ad/ 2. "Integrative single-cell transcriptomic investigation unveils long non-coding RNAs associated with localized cellular inflammation in psoriasis" <Front Immunol>2023 Sep 26:14:1265517. Integrated dataset: 106,675 cells from 11 healthy human skin and 79,887 cells from 9 psoriatic human skin https://yz-studio.shinyapps.io/psoriaticskincellatlas2/
2021-04-26 | GSE162183 | GEO
Project description:To identify the gene expression in the peripheral edge of the lesional (PE) skin of psoriasis vulgaris. Methods: Full-thickness skin biopsies of PE skin and uninvolved skin were taken from psoriasis patients. Transcriptomic profiling was constructed by high-throughput next-generation sequencing (NGS) technology. Result: A total of 1,202 DEGs were identified. Of these, 653 (54%) were upregulated and 549 (46%) were downregulated. These DEGs might play a pivotal role in psoriasis pathogenesis. This study accelerates psoriasis-associated gene discovery in the whole picture of PE skin.
2022-04-28 | GSE183732 | GEO
Project description:Scalp psoriasis shows a variable clinical spectrum and in many cases poses a great therapeutic challenge. However, it remains unknown whether the immune response of scalp psoriasis differs from understood pathomechanisms of psoriasis on other skin areas. We sought to determine the cellular and mollecular phenotype of scalp psoriasis by performing a comparative analysis of scalp vs skin using lesional and nonlesional samples from 20 Caucasian subjects with untreated moderate to severe psoriasis and significant scalp involvement, and 10 control subjects without psoriasis. Our results suggest that even in the scalp psoriasis is a disease of the inter-follicular skin. The immune mechanisms that mediate scalp psoriasis were found to be similar to those involved in skin psoriasis. However, the magnitude of dysregulation, number of differentially expressed genes, and enrichment of the psoriatic genomic fingerprinting were more prominent in skin lesions. Furthermore, the scalp transcriptome showed increased modulation of several gene-sets, particularly those induced by interferon-gamma, compared with skin psoriasis which was mainly associated with activation of TNFâµ/L-17/IL-22-induced keratinocyte response genes. We also detected differences in expression of gene-sets involving negative regulation, epigenetic regulation, epidermal differentiation, and dendritic cell or Th1/Th17/Th22-related T-cell processes. To define the transcriptomic profile of scalp skin, punch biopsies (6 mm diameter) were obtained from 20 Caucasian patients with untreated moderate to severe psoriasis with significative scalp involvement and 10 control subjects without psoriasis (N). Lesional (LS) samples were isolated from the infiltrated border of a plaque of psoriasis. Non lesional (NL) samples were taken from scalp areas with no visible psoriasis between the infiltrated plaques.
2015-11-25 | E-GEOD-75343 | biostudies-arrayexpress
Project description:Psoriasis is a chronic inflammatory skin disease characterized by marked proliferation of keratinocytes leading to pronounced epidermal hyperplasia, elongation of rete ridges and hyperkeratosis. The most common form of psoriasis, chronic plaque psoriasis (Psoriasis vulgaris), involves relatively stable occurrence and progression of sharply demarcated lesions, usually on the trunk and extremities, which share a combination of trademark histological features, including tortuous and dilated dermal capillaries, loss of the epidermal granular layer, and accumulation of neutrophils beneath parakeratotic scale. In this study, whole-genome transcriptional profiling was used to characterize gene expression in 4 lesional and uninvolved skin samples obtained from patients with stable chronic plaque psoriasis. Skin mRNA expression was analysed by microarray. Four individuals with chronic plaque psoriasis were enrolled. 6 mm punch biopsies were obtained under local anaesthesia (lidocaine) from uninvolved skin and a target plaque.
2013-12-10 | E-GEOD-50790 | biostudies-arrayexpress