Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Whole-genome microarray analysis of human skin fibroblasts

ABSTRACT: Connective tissue growthfactor (CTGF/CCN2) is a matricellular protein induced by transforming growth factor-beta (TGF-beta) and intimately involved with tissue repair and overexpressed in various fibrotic conditions. We have previously shown that keratinocytes in vitro downregulate TGF-beta induced expression of CTGF in fibroblasts by an interleukin-1 alfa (IL-1alfa) dependent mechanism. With this study we want to get a better overall perspective who fibroblasts respond on TGF-beta and in a TGF-Beta stinulated system, what effect addition of IL-1 alfa have. This to understand the expression of CTGF in human fibroblasts which in turn have implications for the pathogenesis of fibrotic conditions involving the skin. Microarray was performed on human skin fibroblast RNA from one patient, Fibroblasts were seeded in vitro as a control (Control, C), TGF-beta were added to fibroblasts and incubated for 16 h (addition of TGF-beta, T) and both IL-1alfa and TGF-beta were added to fibroblasts for 16 h (addition of IL-1alfa and TGF-beta, IT). Each condition (C,T and IT) were done in three replicates.

ORGANISM(S): Homo sapiens

SUBMITTER: Anita Koskela von Sydow

PROVIDER: E-GEOD-69447 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:ABSTRACT Background: Primary human distal lung/parenchymal fibroblasts (DLF) exhibit a different phenotype from airway fibroblasts (AF), including the expression of high levels of alpha-SMA. The scope of the differences and the mechanisms driving them are unknown. We hypothesized that the distinct fibroblast characteristics based on lung region predicted a broad range of genomic differences which contribute to distinctly different functional pathway activation in AF and DLF. Methods and Findings: To investigate whether comprehensive gene expression patterns vary between AF and DLF, we compared global gene expression profiles of 3 matched pairs of primary human fibroblasts isolated from proximal and distal lung. 194 transcripts were upregulated in AF, and 290 transcripts upregulated in DLF. Quantitative real-time PCR (qRT-PCR) from both asthmatic and normal subjects confirmed the validity of microarray data (n = 8). Further analysis identified distinct pathway activation patterns, including the identification of the TGF-β receptor/SMAD3 signaling pathway as critical to the phenotypic differences in AF and DLF. The functional impact of these molecular differences on AF and DLF was then analyzed using Western blot, qRT-PCR, ELISA and gene knock-down approaches. TGF-β receptor/SMAD2-3 pathway analysis confirmed the contribution of higher TGF-β1 expression and accompanying SMAD3 and JNK activation to the increased alpha-SMA level seen in DLF. There are two limitations associated with our work. First, the microarray sample size was small. Second, for ethical reasons, a large majority of our data were from asthmatic subjects, only one pair of airway and distal lung tissues from a subject without knowing preexisting lung disease matched for age and smoking status was available. In this single normal subject, the same pattern of differences existed, supporting the concept that these genomic differences are regional, rather than disease-related. Conclusions: These findings demonstrated marked molecular and functional differences for these two lung regional fibroblast populations. These results suggest that airway and parenchymal fibroblasts differ in their responses to injury, repair, and remodeling in the lungs. There are likely profound implications of these observations for understanding mechanisms of development of fibrotic lung diseases as well as approaching therapy. In order to identify the underlying molecular differences between airway- and distal lung fibroblasts, microarray analysis was performed on 3 different matched pairs of fibroblasts.

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Whole-genome microarray analysis of human skin fibroblasts

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