Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1102742 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR28753444_1.fastq.gz | Fastqsanger.gz | |||
| SRR28753444_2.fastq.gz | Fastqsanger.gz | |||
| SRR28753445_1.fastq.gz | Fastqsanger.gz | |||
| SRR28753445_2.fastq.gz | Fastqsanger.gz | |||
| SRR28753446_1.fastq.gz | Fastqsanger.gz |
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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/
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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:Psoriasis is a chronic inflammatory skin disease for which no cure has emerged. Its complex etiology requires the development of an in vitro model representative of the pathology. Various skin substitutes were produced by tissue-engineering using biopsies from normal, healthy donors, or from lesional or non-lesional skin samples from patients with psoriasis, and their gene expression profiles were examined by DNA microarray.
2018-09-26 | GSE120464 | GEO
Project description:Psoriasis and atopic dermatitis (AD) are characterized by polarized CD4+ T cell responses. During the polarization of naM-CM-/ve CD4+ T cells, DNA methylation plays an important role in the regulation of gene transcription. In this study, we profiled the genome-wide DNA methylation status of naM-CM-/ve CD4+ T cells in patients with psoriasis or AD and healthy controls using a ChIP-seq method. As a result, twenty-six regions in the genome ranging in size from 10 to 70 kb were markedly hypomethylated in patients with psoriasis. These regions were mostly pericentromeric on 10 different chromosomes and overlapped with various strong epigenomic signals, such as histone modifications and transcription factor binding sites, that were observed in the ENCODE project. Gene-centric analysis indicated that the promoter regions of 124 genes on the X chromosome had dramatically elevated methylation levels in patients with psoriasis as compared to those from healthy controls (> 4-fold). Moreover, immune-related genes on the X chromosome had higher hypermethylation than other genes (P < 0.05). These findings imply that methylation changes in naM-CM-/ve CD4+ T cells may affect CD4+ T cell polarization, especially in the pathogenesis of psoriasis. Keywords: Psoriasis, Atopic dermatitis, DNA methylation, naM-CM-/ve CD4+ T cells Sample submission examines DNA methylation from human naive CD4+ T cells in patients with psoriasis and atopic dermatitis. Note: Raw data available only for Sample GSM871288.
2012-03-17 | E-GEOD-35582 | biostudies-arrayexpress
Project description:Gut metagenomes collected from 13 healthy individuals
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Project description:To characterize the diversity and taxonomic relative abundance of the gut microbiota in patients with never-treated, recent-onset psoriatic arthritis (PsA).
Methods
High-throughput 16S ribosomal RNA pyrosequencing was utilized to compare the community composition of gut microbiota in patients with PsA (n = 16), patients with psoriasis of the skin (n = 15), and healthy, matched control subjects (n = 17). Samples were further assessed for the presence and levels of fecal and serum secretory IgA (sIgA), proinflammatory proteins, and fatty acids.
Results
The gut microbiota observed in patients with PsA and patients with skin psoriasis was less diverse when compared to that in healthy controls. This could be attributed to the reduced presence of several taxa. Samples from both patient groups showed a relative decrease in abundance of Coprococcus species, while samples from PsA patients were also characterized by a significant reduction in Akkermansia, Ruminococcus, and Pseudobutyrivibrio. Supernatants of fecal samples from PsA patients revealed an increase in sIgA levels and decrease in RANKL levels. Analysis of fatty acids revealed low fecal quantities of hexanoate and heptanoate in both patients with PsA and patients with psoriasis.
Conclusion
Patients with PsA and patients with skin psoriasis had a lower relative abundance of multiple intestinal bacteria. Although some genera were concomitantly decreased in both conditions, PsA samples had a lower abundance of reportedly beneficial taxa. This gut microbiota profile in PsA was similar to that previously described in patients with inflammatory bowel disease and was associated with changes in specific inflammatory proteins unique to this group, and distinct from that in patients with skin psoriasis and healthy controls. Thus, the role of the gut microbiome in the continuum of psoriasis–PsA pathogenesis and the associated immune response merits further study.
Research is published:
http://onlinelibrary.wiley.com/doi/10.1002/art.38892/full
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Project description:Purpose: The purpose of this study was to identify the miRNome of keratinocytes in psoriasis Method: We performed next-generation sequencing for small RNAs from the RNA samples obtained from keratinocytes from psoriasis lesional, non-lesional and healthy skin. Next, we removed adapters and the low quality tags from the sequencing data and clean reads were mapped and aligned to known miRNAs sequences (miRBase 21). Novel miRNA transcripts were predicted based on the length (22-25 nucleotide) and secondary structure (precursor analysis) using MIREAP and mapped to the human genome. Data were normalized (transcripts per million, TPM) and analysed using Bioconductor-EdgeR. Group comparisons (lesional vs. healthy, lesional vs. non lesional and non-lesional vs. healthy) were performed. MiRNAs with <10% FDR, fold change >1.4 (1 TPM at least in one of the groups and expressed in half of the samples in any group) were considered statistically significant. Results: Robust expression of 411 known and 30 novel miRNAs (TPM > 1 in >50% of the samples in at least one of the groups) was detected in our samples. Using EdgeR we identified 104 miRNAs with significantly altered level (fold change > 1.4, FDR < 0.1) between healthy and psoriatic keratinocytes (P vs H). While, pair-wise comparison of miRNA expression in keratinocytes from non-lesional and lesional psoriasis skin (P vs. N) identified 87 deregulated miRNAs. Comparison of the miRNome of keratinocytes from non-lesional skin of psoriasis patients to healthy keratinocytes (N vs. H) identified 7 differentially expressed miRNAs. Conclusion: Here, for the first time we show the keratinocyte miRNome in psoriasis which may serve as the basis for future functional studies of miRNAs deregulated in keratinocytes in psoriasis.
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