Research
Characterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer
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* Corresponding author: Patrick O Brown pbrown@pmgm2.stanford.edu
1 Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA
2 Department of Statistics, Stanford University School of Medicine, Stanford, CA 94305, USA
3 Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
4 Departments of Radiation Oncology and Diagnostic Oncology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
5 Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, V5Z 1M9
Genome Biology 2007, 8:R191 doi:10.1186/gb-2007-8-9-r191
Published: 14 September 2007Additional files
Additional data file 1:
Interferon response genes.
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Additional data file 2:
Expression of OAS2 measured by RT-PCR in the co-culture CCL171/MDA-MB-231 and the expression of STAT1 measured by immunofluoresecent staining and FACS analysis.
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Additional data file 3:
Analysis of the interferon response signature in advanced human breast cancers.
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Additional data file 4:
Box and scatter plots illustrating the correlation of the interferon score to clinical parameters with known prognostic significance.
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Additional data file 5:
Linear regression model used to normalize for additive effects in the mixed co-culture gene expression data.
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