BioGPS
  • Home
  • Help
  • Plugins
  • Datasets
  • Sign Up
  • Login
Examples: Gene Symbol(s), Gene Ontology, Splicing plugins, Melanoma datasets
advanced
Home › Dataset Library › Expression data from primary human keratinocytes exposed to cytokines in vitro (IL-4, IL-13, IL-17A, IFN-alpha, IFN-gamma, TNF)

Dataset: Expression data from primary human keratinocytes exposed to cytokines in vitro (IL-4, IL-13, IL-17A, IFN-alpha, IFN-gamma, TNF)

The clinical features of psoriasis, characterized by sharply demarcated scaly erythematous plaques, are typically so distinctive that a...

Registered by ArrayExpress Uploader
View Dataset

The clinical features of psoriasis, characterized by sharply demarcated scaly erythematous plaques, are typically so distinctive that a diagnosis can easily be made on these grounds alone. However, there is great variability in treatment response between individual patients, and this may reflect heterogeneity of inflammatory networks driving the disease. In this study, whole-genome transcriptional profiling was used to characterize inflammatory and cytokine networks in 62 lesional skin samples obtained from patients with stable chronic plaque psoriasis. We were able to stratify lesions according to their inflammatory gene expression signatures, identifying those associated with strong (37% of patients), moderate (39%) and weak inflammatory infiltrates (24%). Additionally, we identified differences in cytokine signatures with heightened cytokine-response patterns in one sub-group of lesions (IL-13-strong; 50%) and attenuation of these patterns in a second sub-group (IL-13-weak; 50%). These sub-groups correlated with the composition of the inflammatory infiltrate, but were only weakly associated with increased risk allele frequency at some psoriasis susceptibility loci (e.g., REL, TRAF3IP2 and NOS2). Our findings highlight variable points in the inflammatory and cytokine networks known to drive chronic plaque psoriasis. Such heterogeneous aspects may shape clinical course and treatment responses, and can provide avenues for development of personalized treatments. We used Affymetrix microarrays to evaluate genome-wide expression in primary human keratinocytes exposed to cytokines. Cytokine activity signatures were used to interpret the shifts in gene expression that occur in psoriasis plaques relative to normal uninvolved skin. Primary keratinocytes from three donors (subjects 1, 2, and 3) were obtained and were either untreated (control) or exposed to cytokines (IL-4, IL-13, IFN-alpha, IFN-gamma and TNF). For the IL17A samples, primary keratinocytes were obtained from six donors, with cells derived from three donors treated with IL-17A and cells derived from the other three donors left untreated (i.e., unpaired control samples).

Species:
human

Samples:
24

Source:
E-GEOD-36287

Updated:
Dec.12, 2014

Registered:
Sep.19, 2014


Factors: (via ArrayExpress)
Sample TREATMENT
GSM88642 untreated control
GSM88642 untreated control
GSM88642 untreated control
GSM886424 IFNa-treated
GSM886424 IFNa-treated
GSM886424 IFNa-treated
GSM886427 IFNg-treated
GSM886427 IFNg-treated
GSM886427 IFNg-treated
GSM886430 IL13-treated
GSM886430 IL13-treated
GSM886430 IL13-treated
GSM88642 untreated control
GSM88642 untreated control
GSM88642 untreated control
GSM886436 IL17A-treated
GSM886436 IL17A-treated
GSM886436 IL17A-treated
GSM886439 IL4-treated
GSM886439 IL4-treated
GSM886439 IL4-treated
GSM886442 TNF-treated
GSM886442 TNF-treated
GSM886442 TNF-treated

Tags

  • cytokine
  • disease
  • genome
  • left
  • psoriasis
  • skin

Other Formats

JSON    XML
  • About
  • Blog
  • Help
  • FAQ
  • Downloads
  • API
  • iPhone App
  • Email updates
© 2022 The Scripps Research Institute. All rights reserved. (ver 94eefe6 )
  • Terms of Use