Development of gene expression signature for primary epidermal neonatal keratinocytes treated with mature IL-36B cytokine
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Seamus Martin
PROVIDER: E-GEOD-75967 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:New alkyl-phospholipids (APLs) that are structurally derived from the platelet-activating factor are promising candidates for anticancer treatment. After the incorporation into cell membranes, APLs are able to interfere with a wide variety of key enzymes implicated in cell growth, motility, invasion and apoptosis. Recently, using Agilent cDNA microarray technology, we could demonstrate that the glycosidated APL Ino-C2-PAF inhibited the expression of several genes associated with immune response and inflammation in immortalized keratinocytes HaCaT. Here, we analyzed the impact of Ino-C2-PAF on the gene expression profile of HaCaT cells treated with several pro-inflammatory cytokines (IL-1M-NM-1, IL-17, IL-22, TNF-M-NM-1 and oncostatin-M). The influence of Ino-C2-PAF on the transcriptional profile of immortalized keratinocytes (HaCaT) was analyzed treating HaCaT cells with 5 M-BM-5M Ino-C2-PAF in the presence of a mixture of pro-inflammatory cytokines (IL-1M-NM-1, IL-17, IL-22, TNF-M-NM-1 and oncostatin-M) for 24 h. Control cells were left untreated. Three independent experiments were performed for each condition, except for control cells where only two experiments were performed. Control cells were mainly necessary to demonstrate the efficiency of this in vitro inflammation model for keratinocytes.
2013-01-01 | E-GEOD-37361 | biostudies-arrayexpress
Project description:Purpose: The aim of the present study was to examine the biological differences between seminomas with occult and clinically apparent metastases at the time of diagnosis of the primary tumor to gain insight into the biology of these tumors and facilitate the identification of novel predictors of seminoma metastasis. Materials and Methods: Total RNA including small RNAs was isolated from testicular tumors of patients with pure seminoma presenting with lymphogenic metastasis (n=5, clinical stage IIb/c) and occult metastasis (n=5, clinical stage I). The regulation of biological processes was examined (1) throughout the mRNA transcriptome (whole genome microarrays, 8x60K Array, Agilent and 4 samples per group) and (2) the miRNA transcriptome employing small RNA next generation sequencing (SOLID, Life Technologies). Protein coding genes (mRNAs) and small RNAs showing a significant (> 2-fold) difference between the groups were identified. Finally (3), we examined 95 candidate miRNAs in 36 apparent metastasized and another 5 occult metastasized seminoma using logistic regression analysis. Results: Among 19,596 genes, on average 12,894 mRNAs appeared expressed (65.8%, SD +/- 2.4; range, 62.0M-bM-^@M-^S69.3%) and 16.99M-CM-^W106/13.94M-CM-^W106 small RNA reads were identified for apparent/occult metastasized seminoma. These reads on average convert into 9,901/9,675 small RNAs including 422/404 mature microRNAs. None of these mRNAs/small RNAs met our selection criteria for candidate genes. From 95 candidate miRNAs 44 appeared expressed, with 3 of them showing weak but significant (p=0.047-0.049) differences among both groups. Conclusions: Occult and apparent metastasized seminomas are biologically almost indistinguishable and probably represent no separate tumor entities. These findings may simplify future research on seminoma metastasis. Regarding the genome-wide expression profiling we analyzed gene expression changes in human seminoma samples with occult or lymphatic metastasis using Agilent SurePrint G3 Human Gene Expression 8x60K v2 Microarrays in 8x60K format in combination with a one-color based hybridization protocol. Microarray signals were detected using the Agilent DNA Microarray Scanner. Differential RNA expression was assessed by applying appropriate biostatistics to the data set. GeneSpring GX12.6 analysis software was used to normalize and analyze the raw data. Different filtering approaches were applied to identify up- and downregulated transcripts in the comparisons of interest. Identified differentially expressed genes were further characterized for their involvement in biological pathways and processes based on the Panther database. For mRNA transcriptome analysis we used 4 samples per group. Only significant and > 2-fold differences in gene expression between the two groups were considered for comparisons, and unadjusted p-values and those adjusted for multiple comparisons (false discovery rate) were calculated. All gene candidates underwent gene set enrichment analyses using PANTHER pathway software (http://www.pantherdb.org/), which groups genes with similar biological functions based on their annotation.
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Project description:In psoriasis lesions, a diverse mixture of cytokines is upregulated which influence each other generating a complex inflammatory situation. Although this is the case, the inhibition of Interleukin-17A (IL-17A) alone showed unprecedented clinical results in patients, indicating that IL-17A is a critical inducer of psoriasis pathogenesis. To elucidate IL-17A-driven keratinocyte-intrinsic signaling pathways, we treated monolayers of normal human epidermal keratinocytes in vitro with a mixture of 6 cytokines (IL-17A, TNF-a, IL-17C, IL-22, IL-36g and IFN-g) involved in psoriasis, to mimic the inflammatory milieu in psoriasis lesions. Microarray and gene set enrichment analysis revealed that this cytokine mixture induced similar gene expression changes with the previous transcriptome studies using psoriasis lesions. Importantly, we identified a set of IL-17A-regulated genes in keratinocytes, which recapitulate typical psoriasis genes exemplified by DEFB4A, S100A7, IL19 and CSF3, based on differences in the expression profiles of cells stimulated with 6 cytokines versus cells stimulated with only 5 cytokines lacking IL-17A. Furthermore a specific IL-17A-induced gene, NFKBIZ, which encodes IkappaB-zeta, a transcriptional regulator for NF-kappaB, was demonstrated to have a significant role for IL-17A-induced gene expression. Thus, we present novel in vitro data from normal human keratinocytes that would help elucidating the IL-17A-driven keratinocyte activation in psoriasis. Cytokine mixture-induced gene expression in primary normal human epidermal keratinocytes (NHEKs) was measured at 24 hours after exposure. NHEKs were exposed to the combination of selected six cytokines (IL-17A: 100 ng/ml, TNF-a: 10 ng/ml, IFN-g: 10 ng/ml, IL-17C: 100 ng/ml, IL-22: 100 ng/ml, IL-36g: 500 ng/ml) , or to the different combinations of five of the six cytokines (in total, 7 different treatments and one untreated control). No replicate experiments were conducted.
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