Email updates

Keep up to date with the latest news and content from Genome Biology and BioMed Central.

Open Access Highly Accessed Research

Characterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer

Martin Buess1, Dimitry SA Nuyten4, Trevor Hastie2, Torsten Nielsen5, Robert Pesich1 and Patrick O Brown13*

Author Affiliations

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

For all author emails, please log on.

Genome Biology 2007, 8:R191  doi:10.1186/gb-2007-8-9-r191

Published: 14 September 2007

Additional files

Additional data file 1:

Interferon response genes.

Format: XLS Size: 650KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

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.

Format: PDF Size: 4KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional data file 3:

Analysis of the interferon response signature in advanced human breast cancers.

Format: PDF Size: 415KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional data file 4:

Box and scatter plots illustrating the correlation of the interferon score to clinical parameters with known prognostic significance.

Format: PDF Size: 32KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional data file 5:

Linear regression model used to normalize for additive effects in the mixed co-culture gene expression data.

Format: PDF Size: 6KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data