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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Arlt, D. Sahin, O. Korf, U. Loebke, C. Beissbarth, T. Hahne, F. Wiemann, S. Poustka, A. |
| Copyright Year | 2006 |
| Description | Author affiliation: Div. of Molecular Genome Anal., German Cancer Res. Center, Heidelberg (Arlt, D.; Sahin, O.; Korf, U.; Loebke, C.; Beissbarth, T.; Hahne, F.; Wiemann, S.; Poustka, A.) |
| Abstract | In breast cancer treatment for many cases intrinsic or acquired resistance against available therapeutics leads to death. According to the present biological understanding, drug resistance is caused by molecular mechanisms in the complex network of proteins that regulate cell proliferation by activation of the estrogen receptor (ER), hereby allowing the cell to bypass the classical estrogen receptor signalling pathway after inhibition of the ER. Target proteins for this study were chosen according to the present understanding of estrogen receptor based cell cycle control, including proteins from genomic and non genomic ER-dependant pathways, as well as from ER-independent signalling events. We used MCF7 cells (ATCC, HTB-22), to generate a Tamoxifen-resistant cell line out of this parental strain. The assay is based on upregulation of genes during Tamoxifen treatment, which allows the cells to proliferate in presence of Tamoxifen |
| Sponsorship | IEEE EMB |
| Starting Page | 40 |
| Ending Page | 43 |
| File Size | 442238 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424400325 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2006.259761 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Drugs Immune system Proteins Cells (biology) Erbium Genomics Bioinformatics Biological system modeling Breast cancer Complex networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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