Open Access Research article

Analysis of growth factor signaling in genetically diverse breast cancer lines

Mario Niepel1, Marc Hafner1, Emily A Pace2, Mirra Chung1, Diana H Chai2, Lili Zhou1, Jeremy L Muhlich1, Birgit Schoeberl2* and Peter K Sorger1*

Author Affiliations

1 HMS LINCS Center, Department of Systems Biology, Harvard Medical School, 200 Longwood Ave, WAB 444, Boston, MA 02115, USA

2 Merrimack Pharmaceuticals, 1 Kendall Sq, Cambridge, MA 02139, USA

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BMC Biology 2014, 12:20  doi:10.1186/1741-7007-12-20

Published: 21 March 2014

Additional files

Additional file 1: Table S1:

Description of the dataset, cell lines, ligands and assays used in this study.

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Additional file 2: Table S2:

Connections between ligands and receptors.

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Additional file 3:

Network maps of all cell lines used in this study.

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Additional file 4: Figure S1:

Correlation between selected basal measurements.

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Additional file 5:

Results of kinetic clustering and dose-dependence classification.

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Additional file 6: Figure S2:

Distribution of responses and their fold-change according to the kinetic clusters and dose-dependence and distribution among sensitivity classes of response fold-change.

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Additional file 7: Figure S3:

Enrichment for basal RTK levels among cell lines with significant responses.

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Additional file 8: Figure S4:

Relationship between basal pErbB2, PI3K/PTEN mutational status and the basal levels of pAKT and pERK.

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