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This model was applied to a mouse mammary data set.
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Mouse mammary microarray data [ 60] has suggested the potential involvement of two systems in controlling fatty acid metabolism.
Although Wnt signaling is highly oncogenic for mouse mammary epithelia, the data supporting Wnt signaling as a tumor driver for human breast cancer are still flimsy, and there is little support for the recruitment of normal Wnt-dependent breast stem cells as tumor precursor cells for either mouse or human.
The mouse mammary gland expression data from Li et al. [ 14] was used.
We provide a resource of mouse mammary gene expression data for download or online analysis.
Using aCGH data from genetically defined mouse mammary tumors as a data filter to mine the human breast cancer genome may be a powerful strategy to identify genomic regions with functional relevance for breast tumorigenesis [ 17].
KB harvested mouse mammary fibroblasts and assisted with data analysis.
We used the KC-SMART method [ 18] to identify significantly recurrent genomic aberrations in the aCGH data of the mouse mammary tumor groups.
Using 21 breast cancer cell lines, two cellular models of human and mouse mammary cancer progression, and human cohort data, we had shown previously a significant downregulation of Dicer expression when cells exhibit mesenchymal phenotypes (Grelier et al, 2009).
Our results from mouse mammary tumors are therefore in good agreement with data from human breast cancer samples.
GEMII cDNA array data profiles of SV40T/t-antigen mouse mammary tumors and normal mammary tissue (FVB background), which were used to derive the SV40-Tag signature (Tag signature), are described elsewhere [ 8].
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