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Expression data from lesional (LP) and non-lesional (NP) skin in patients with psoriasis.

ABSTRACT: Expression data from lesional (LP) and non-lesional (NP) skin in patients with psoriasis.

PROVIDER: PRJNA679073 | ENA |

REPOSITORIES: ENA

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Expression data from lesional (LP) and non-lesional (NP) skin in patients with psoriasis.

Project description:We used microarry to charactarize differences in gene expression between lesional and non-lesional psoriasis skin. Our hypothethis was that IL-37 is downregulated in psoriasis.

2022-06-07 | GSE161683 | GEO

Genome-Wide Profiling of Lesional and Non-Lesional Skin from Atopic Dermatitis, Psoriasis, and Contact Dermatitis Skin

Project description:Genome-Wide Profiling of Lesional and Non-Lesional Skin from Atopic Dermatitis, Psoriasis, and Contact Dermatitis Skin

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Transcription profiling of human skin biposies (lesional and uninvolved) from psoriasis patients

Project description:Biopsies from uninvolved and from lesional skin of 13 patients with plaque-type psoriasis. Based on paired samples, 179 genes were more than 2-fold differentially expressed in lesional skin. Experiment Overall Design: Comparative RNA expression profiles from uninvolved and lesional skin of 13 patients with mild to severe plaque-type psoriasis.

2008-11-07 | E-GEOD-6710 | biostudies-arrayexpress

Center of lesional skin gene expression in plaque type psoriasis

Project description:Purpose: To identify the gene expression and upstream regulator at lesional skin of psoriasis vulgaris Methods:Full-thickness skin biopsies at lesional skin and uninvolved skin were taken from psoriasis patients. Transcriptomic profiling was constructed by high-throughput next-generation sequencing (NGS) technology Result:The total of 1328 DEGs are identified. Among these 1328 DEGs, 648 were upregulated and 680 were down regulated . Upstream regulators involving in keratinocyte proliferation was predicted to be activated. These DEGs and upstream regulator may be associated with psoriasis pathogenesis Conclusion: This study revealed upstream regulator that may be involved in psoriasis pathogenesis

2022-10-11 | GSE186117 | GEO

Transcriptional Landscape of Psoriasis Identifies the Involvement of IL36 and IL36RN

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

Gene expression profiling in psoriatic lesional and non-lesional skin [brodalumab treatment]

2014-03-31 | GSE53552 | GEO

Gene expression profiling in psoriatic lesional and non-lesional skin [brodalumab treatment]

Project description:To explore the psoriasis phenotype and pathways involved in psoriasis, we characterized gene expression in lesional and non-lesional skin from psoriasis patients. Furthermore, we explored the effects of various doses of brodalumab on lesional skin over time. From each of the 25 psoriasis patients, we obtained two pre-dose biopsies, one from a lesion and the other from non-lesional skin in the same general body geography, and two post-dose biopsies. Total RNA was extracted from 6mm punch biopsies that were split in half. A total of 99 samples were run on Affymetrix HU133 Plus 2.0 microarrays. There was no paired non-lesional sample for 'T_lesional_pre-dose' (skn55789).

2014-03-31 | E-GEOD-53552 | biostudies-arrayexpress

Gene expression profiling in psoriatic lesional and non-lesional skin [Set 2]

Project description:To explore the psoriasis phenotype and pathways involved in psoriasis, we characterized gene expression in lesional and non-lesional skin from psoriasis patients. From each of the 24 psoriasis patients, we obtained two biopsies, one from a lesion and the other from non-lesional skin in the same general body geography. Total RNA was extracted from 6mm punch biopsies that were split in half. A total of 48 samples were run on Affymetrix HU133 Plus 2.0 microarrays.

2013-01-28 | E-GEOD-41662 | biostudies-arrayexpress

Gene expression profiling in psoriatic lesional and non-lesional skin [Set 2]

Project description:To explore the psoriasis phenotype and pathways involved in psoriasis, we characterized gene expression in lesional and non-lesional skin from psoriasis patients.

2013-01-28 | GSE41662 | GEO

Gene expression profiling in psoriatic lesional and non-lesional skin [Set 1]

Project description:To explore the psoriasis phenotype, we characterize gene expression in lesional and non-lesional skin from psoriasis patients.

2013-01-28 | GSE34248 | GEO

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