Project description:Altered gene expression patterns in human diseases reflect perturbations in the transcriptional networks that regulate cellular state. In breast cancer, Nuclear Receptors (NRs) play a prominent role in governing gene expression. NRs have prognostic utility and are therapeutically important targets. Here we describe a complete regulatory map for twenty-four NR proteins that are expressed in the breast cancer cell line MCF-7, as well as fourteen additional breast cancer associated transcription factors (TFs) and six key chromatin state markers. The CEL files for the 38 NRs ChIP-chip presented in the paper are included, together with the results bar files, except 5 previsouly published ones: ER [GSE10800], RARA, RARG, FOXA1, GATA3 [GSE15244]. The supplementary bed file contains all 200,140 binding sites of all 38 TFs reported in the paper.
Project description:Mufudza2012 - Estrogen effect on the dynamics
of breast cancer
This deterministic model shows the
dynamics of breast cancer with immune response. The effects of
estrogen are incorporated to study its effects as a risk factor for
the disease.
This model is described in the article:
Assessing the effects of
estrogen on the dynamics of breast cancer.
Mufudza C, Sorofa W, Chiyaka
ET.
Comput Math Methods Med 2012; 2012:
473572
Abstract:
Worldwide, breast cancer has become the second most common
cancer in women. The disease has currently been named the most
deadly cancer in women but little is known on what causes the
disease. We present the effects of estrogen as a risk factor on
the dynamics of breast cancer. We develop a deterministic
mathematical model showing general dynamics of breast cancer
with immune response. This is a four-population model that
includes tumor cells, host cells, immune cells, and estrogen.
The effects of estrogen are then incorporated in the model. The
results show that the presence of extra estrogen increases the
risk of developing breast cancer.
This model is hosted on
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and identified by:
BIOMD0000000642.
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