Overview of the Alliance for Cellular Signaling View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2002-12

AUTHORS

Alfred G Gilman, Melvin I Simon, Henry R Bourne, Bruce A Harris, Rochelle Long, Elliott M Ross, James T Stull, Ronald Taussig, Henry R Bourne, Adam P Arkin, Melanie H Cobb, Jason G Cyster, Peter N Devreotes, James E Ferrell, David Fruman, Michael Gold, Arthur Weiss, James T Stull, Michael J Berridge, Lewis C Cantley, William A Catterall, Shaun R Coughlin, Eric N Olson, Temple F Smith, Joan S Brugge, David Botstein, Jack E Dixon, Tony Hunter, Robert J Lefkowitz, Anthony J Pawson, Paul W Sternberg, Harold Varmus, Shankar Subramaniam, Robert S Sinkovits, Joshua Li, Dennis Mock, Yuhong Ning, Brian Saunders, Paul C Sternweis, Donald Hilgemann, Richard H Scheuermann, Dianne DeCamp, Robert Hsueh, Keng-Mean Lin, Yan Ni, William E Seaman, Paul C Simpson, Timothy D O'Connell, Tamara Roach, Melvin I Simon, Sangdun Choi, Pamela Eversole-Cire, Iain Fraser, Marc C Mumby, Yingming Zhao, Deirdre Brekken, Hongjun Shu, Tobias Meyer, Grischa Chandy, Won Do Heo, Jen Liou, Nancy O'Rourke, Mary Verghese, Susanne M Mumby, Heping Han, H Alex Brown, Jeffrey S Forrester, Pavlina Ivanova, Stephen B Milne, Patrick J Casey, T Kendall Harden, Adam P Arkin, John Doyle, Martha L Gray, Tobias Meyer, Stephen Michnick, Martin A Schmidt, Mehmet Toner, Roger Y Tsien, Madhusudan Natarajan, Rama Ranganathan, Gilberto R Sambrano

ABSTRACT

The Alliance for Cellular Signaling is a large-scale collaboration designed to answer global questions about signalling networks. Pathways will be studied intensively in two cells--B lymphocytes (the cells of the immune system) and cardiac myocytes--to facilitate quantitative modelling. One goal is to catalyse complementary research in individual laboratories; to facilitate this, all alliance data are freely available for use by the entire research community. More... »

PAGES

703-706

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nature01304

DOI

http://dx.doi.org/10.1038/nature01304

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034386078

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12478301


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20 schema:description The Alliance for Cellular Signaling is a large-scale collaboration designed to answer global questions about signalling networks. Pathways will be studied intensively in two cells--B lymphocytes (the cells of the immune system) and cardiac myocytes--to facilitate quantitative modelling. One goal is to catalyse complementary research in individual laboratories; to facilitate this, all alliance data are freely available for use by the entire research community.
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