Abstract
T cells are activated when extracellular stimuli, such as a ligand binding to the T cell receptor, are converted into functional outputs by the T cell signalling network. T cell receptor signalling is a highly complex, stochastic and dynamic process involving many interacting proteins. This complexity often confounds intuition, making it difficult to develop mechanistic principles that underly experimental observations. In this Review, we describe how computational approaches can partner successfully with biological experimentation to help address this challenge, and we illustrate this paradigm by summarizing recent work that shows new aspects of the T cell signalling network.
| Original language | English |
|---|---|
| Pages (from-to) | 59-71 |
| Number of pages | 13 |
| Journal | Nature Reviews Immunology |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2010 |
| Externally published | Yes |
Bibliographical note
Funding Information:We thank J. Roose, H. Eisen and A. Weiss for comments on the manuscript. A.K.C. is grateful to M. Davis, A. Shaw and A. Weiss for continuing collaborations and lessons in T cell signalling. Financial support was provided by the US National Institutes of Health (NIH) Director’s Pioneer Award and 1PO1/ AI071195/01.
Funding
We thank J. Roose, H. Eisen and A. Weiss for comments on the manuscript. A.K.C. is grateful to M. Davis, A. Shaw and A. Weiss for continuing collaborations and lessons in T cell signalling. Financial support was provided by the US National Institutes of Health (NIH) Director’s Pioneer Award and 1PO1/ AI071195/01.
| Funders | Funder number |
|---|---|
| US National Institutes of Health | |
| National Institutes of Health | |
| National Institute of Allergy and Infectious Diseases | P01AI071195 |