| Chapter title |
Modeling notch signaling: a practical tutorial.
|
|---|---|
| Chapter number | 22 |
| Book title |
Notch Signaling
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-4939-1139-4_22 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1138-7, 978-1-4939-1139-4
|
| Authors |
Pau Formosa-Jordan, David Sprinzak, Formosa-Jordan P, Sprinzak D, Formosa-Jordan, Pau, Sprinzak, David |
| Abstract |
Theoretical and computational approaches for understanding different aspects of Notch signaling and Notch dependent patterning are gaining popularity in recent years. These in silico methodologies can provide dynamic insights that are often not intuitive and may help guide experiments aimed at elucidating these processes. This chapter is an introductory tutorial intended to allow someone with basic mathematical and computational knowledge to explore new mathematical models of Notch-mediated processes and perform numerical simulations of these models. In particular, we explain how to define and simulate models of lateral inhibition patterning processes. We provide a Matlab code for simulating various lateral inhibition models in a simple and intuitive manner, and show how to present the results from the computational models. This code can be used as a starting point for exploring more specific models that include additional aspects of the Notch pathway and its regulation. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 33% |
| Student > Bachelor | 3 | 13% |
| Researcher | 3 | 13% |
| Professor > Associate Professor | 2 | 8% |
| Professor | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Physics and Astronomy | 3 | 13% |
| Mathematics | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 3 | 13% |