Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Smooth Muscle Cells

ABSTRACT: This set contains 68 arrays of two series of experiments. 60 arrays are used to profile the heterogeneity of SMCs from different anatomic locations. 8 arrays are used to profile the change of gene expression of vascular smooth muscle cells upon serum exposure. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Keywords: all_pairs Using regression correlation

ORGANISM(S): Homo sapiens

SUBMITTER: Jen-Tsan Ashley Chi

PROVIDER: E-GEOD-7195 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression programs of human smooth muscle cells: tissue-specific differentiation and prognostic significance in breast cancers.

Chi Jen-Tsan JT Rodriguez Edwin H EH Wang Zhen Z Nuyten Dimitry S A DS Mukherjee Sayan S van de Rijn Matt M van de Vijver Marc J MJ Hastie Trevor T Brown Patrick O PO

PLoS genetics 20070901 9

Smooth muscle is present in a wide variety of anatomical locations, such as blood vessels, various visceral organs, and hair follicles. Contraction of smooth muscle is central to functions as diverse as peristalsis, urination, respiration, and the maintenance of vascular tone. Despite the varied physiological roles of smooth muscle cells (SMCs), we possess only a limited knowledge of the heterogeneity underlying their functional and anatomic specializations. As a step toward understanding the in ...[more]

PMID: 17907811

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Project description:These 95 arrays are the basis for Figure 2 of our manuscript "An interferon-response induced by tumor-stroma interaction in a subset of human breast cancers". Abstract:Background Communication between different cell types is a cardinal feature of multi-cellular organisms and perturbations in these cell-cell interactions are a key feature of cancer. However, little is known about the systematic effects of cell-cell interaction on global gene expression in cancer. Methods and Findings We used an ex vivo culture model to simulate tumor-stroma interaction by systematically co-cultivating breast cancer cells with stromal fibroblasts and determined associated gene expression changes with cDNA microarrays. The picture of heterotypic interaction effects that emerged from this analysis is complex, reflecting the variation in signaling capacities and responsiveness of the involved cells. A frequent and prominent response to epithelial-mesenchymal interaction was an induction of interferon-response genes, observed in 4 of the 7 breast cancer cell lines in response to co-culture with fibroblasts, but not in normal mammary epithelial cells. In response to close contact with these breast cancer cells, the fibroblasts secreted type I interferons, which, in turn, induced expression of the IRGs in the tumor cells. Immunohistochemical analysis of human breast cancer tissues showed that STAT1, the key transcriptional activator of the interferon-response genes, and itself an IRG, was expressed in a subset of the cancers, with a striking pattern of elevated expression in the cancer cells in contact with, or close proximity to, the tumor stroma ? paralleling the response seen in our ex vivo model. In vivo, expression of the interferon-response genes was remarkably coherent, providing a basis for segregation of the 295 early-stage breast cancers into two groups. Tumors with high expression levels (n=161) of IRG were associated with significantly shorter overall survival; 59 % at 10 years versus 80% for tumors with low interferon-response gene expression levels (n=134) (log-rank p=0.001). Conclusion Our results suggest that an interaction between some breast cancer cells and stromal fibroblasts can induce an interferon response, and that this response may be associated with a greater propensity for tumor progression. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed

Dataset Information

Smooth Muscle Cells

Publications

Gene expression programs of human smooth muscle cells: tissue-specific differentiation and prognostic significance in breast cancers.

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