Open Access Highly Accessed Research article

A model of estrogen-related gene expression reveals non-linear effects in transcriptional response to tamoxifen

Galina Lebedeva1*, Azusa Yamaguchi2, Simon P Langdon3, Kenneth Macleod3 and David J Harrison4

Author Affiliations

1 Centre for Synthetic and Systems Biology, University of Edinburgh, CH Waddington Building, the Kings Buildings, Mayfield Road, EH9 3JD, Edinburgh, UK

2 School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh, UK

3 Division of Pathology, IGMM, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK

4 Medical and Biological Sciences Building, University of St Andrews, North Haugh, St Andrews, Fife, KY16 9TF, UK

For all author emails, please log on.

BMC Systems Biology 2012, 6:138  doi:10.1186/1752-0509-6-138

Published: 8 November 2012

Additional files

Additional file 1:

Full ODE model of ER-induced gene expression.

Format: PDF Size: 557KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Parameterisation of the separate blocks of the model.

Format: PDF Size: 142KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 3: Figure S1:

The full spectrum of sensitivity of ER-dependent protein expression to the variation of the model parameters, calculated in the broad range of tamoxifen concentrations.

Format: PDF Size: 227KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

Estimation of biologically plausible parameter constraints.

Format: PDF Size: 133KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 5:

An animation, demonstrating how the 3D graph shown in Figure 6C evolves with gradual increase in background estradiol concentration.

Format: GIF Size: 372KB Download file

Open Data

Additional file 6:

The list of parameters and parameter constraints for GSA

Format: PDF Size: 63KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data