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We are analyzing https://www.nature.com/articles/nrc3081.

Title:
Dynamic modelling of oestrogen signalling and cell fate in breast cancer cells | Nature Reviews Cancer
Description:
This article introduces some preliminary mathematical models of the basic decision circuits in breast cancer cells, with a view to understanding in greater detail their susceptibility or resistance to endocrine therapy. Cancers of the breast and other tissues arise from aberrant decision-making by cells regarding their survival or death, proliferation or quiescence, damage repair or bypass. These decisions are made by molecular signalling networks that process information from outside and from within the breast cancer cell and initiate responses that determine the cell
Website Age:
30 years and 10 months (reg. 1994-08-11).

Matching Content Categories {πŸ“š}

  • Education
  • Science
  • Telecommunications

Content Management System {πŸ“}

What CMS is nature.com built with?

Custom-built

No common CMS systems were detected on Nature.com, and no known web development framework was identified.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of nature.com audience?

πŸŒ† Monumental Traffic: 20M - 50M visitors per month


Based on our best estimate, this website will receive around 42,194,993 visitors per month in the current month.

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How Does Nature.com Make Money? {πŸ’Έ}


Display Ads {🎯}


The website utilizes display ads within its content to generate revenue. Check the next section for further revenue estimates.

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Direct Advertisers (10)
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Reseller Advertisers (38)
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How Much Does Nature.com Make? {πŸ’°}


Display Ads {🎯}

$531,700 per month
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Keywords {πŸ”}

pubmed, article, google, scholar, cas, cancer, cell, breast, central, nature, biol, cells, mol, rev, response, network, protein, factor, cycle, tyson, apoptosis, growth, information, molecular, biology, chen, clarke, resistance, access, model, usa, switch, plos, regulatory, autophagy, therapy, modeling, signaling, unfolded, sci, stress, content, wang, computational, regulation, bistability, antiestrogen, res, bcl, estrogen,

Topics {βœ’οΈ}

permissions reprints nature portfolio privacy policy advertising rb-e2f-cyce bistable switch high-dimensional data spaces social media bh3-bcl-bax bistable switch author information authors phenomenological cell-cycle models nature cell biol health grants u54-ca149147 author correspondence endocrine-treated breast cancer identify condition-specific topological predict cancer growth transforming growth factor-Ξ² nuclear factor-ΞΊb unpredictable nature cyclin/cdk network driving nature rev protein expression data professional phagocytes irreversible cell-cycle transitions mcf-7 cells overexpressing growth factor-driven mechanisms early breast cancer nature genet multi-model approach integrating preliminary mathematical models springerlink instant access fas signaling-induced apoptosis permissions dap-kinase promotes autophagy nature 376 nature 402 nature 374 nature 382 nature enhanced nf ΞΊb large-scale analysis professional breast cancer cells growth factor signalling breast cancer growth network-based approach nuclear export mediated death receptor engagement personal data breast cancer involves

Questions {❓}

  • Can the Kuznetsov Model Replicate and Predict Cancer Growth in Humans?

Schema {πŸ—ΊοΈ}

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