Artículo

Yu, R.C.; Resnekov, O.; Abola, A.P.; Andrews, S.S.; Benjamin, K.R.; Bruck, J.; Burbulis, I.E.; Colman-Lerner, A.; Endy, D.; Gordon, A.; Holl, M.; Lok, L.; Pesce, C.G.; Serra, E.; Smith, R.D.; Thomson, T.M.; Tsong, A.E.; Brent, R. "The Alpha Project: A model system for systems biology research" (2008) IET Systems Biology. 2(5):222-233
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Abstract:

One goal of systems biology is to understand how genome-encoded parts interact to produce quantitative phenotypes. The Alpha Project is a medium-scale, interdisciplinary systems biology effort that aims to achieve this goal by understanding fundamental quantitative behaviours of a prototypic signal transduction pathway, the yeast pheromone response system from Saccharomyces cerevisiae. The Alpha Project distinguishes itself from many other systems biology projects by studying a tightly bounded and well-characterised system that is easily modified by genetic means, and by focusing on deep understanding of a discrete number of important and accessible quantitative behaviours. During the project, the authors have developed tools to measure the appropriate data and develop models at appropriate levels of detail to study a number of these quantitative behaviours. The authors have also developed transportable experimental tools and conceptual frameworks for understanding other signalling systems. In particular, the authors have begun to interpret system behaviours and their underlying molecular mechanisms through the lens of information transmission, a principal function of signalling systems. The Alpha Project demonstrates that interdisciplinary studies that identify key quantitative behaviours and measure important quantities, in the context of well-articulated abstractions of system function and appropriate analytical frameworks, can lead to deeper biological understanding. The author's experience may provide a productive template for systems biology investigations of other cellular systems. © The Institution of Engineering and Technology 2008.

Registro:

Documento: Artículo
Título:The Alpha Project: A model system for systems biology research
Autor:Yu, R.C.; Resnekov, O.; Abola, A.P.; Andrews, S.S.; Benjamin, K.R.; Bruck, J.; Burbulis, I.E.; Colman-Lerner, A.; Endy, D.; Gordon, A.; Holl, M.; Lok, L.; Pesce, C.G.; Serra, E.; Smith, R.D.; Thomson, T.M.; Tsong, A.E.; Brent, R.
Filiación:Molecular Sciences Institute, Berkeley, CA, United States
California Institute of Technology, Computation and Neural Systems, Department of Electrical Engineering, Pasadena, CA, United States
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
Microscale Life Sciences Center, University of Washington, Seattle, WA, United States
Pacific Northwest National Laboratory, Richland, WA, United States
Department of Molecular and Cell Biology, University of California, Berkeley, CA, United States
Prosetta, San Francisco, CA, United States
Amyris Biotechnologies, Emeryville, CA, United States
Departamento de Fisiología, Biología Molecular y Cellular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Physics Department, Brookhaven National Laboratory, Upton, NY, United States
Biodesign Institute, Arizona State University, Tempe, AZ, United States
Synopsys, Sunnyvale, CA, United States
Centre de Genètica Mèdica i Molecular, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain
Palabras clave:Data structures; Mathematical models; Probability density function; Signal transduction; Cellular systems; Conceptual frameworks; Discrete numbers; Information transmissions; Interdisciplinary studies; Interdisciplinary systems; Levels of details; Model systems; Molecular mechanisms; Principal functions; Quantitative; Response systems; Saccharomyces cerevisiae; Signal transduction pathways; Signalling systems; System behaviours; System functions; Systems biologies; Biology; G protein coupled receptor; mitogen activated protein kinase; pheromone; access to information; Alpha Project; computer network; conceptual framework; conference paper; cytology; data analysis software; data extraction; image cytometry; information processing; mathematical model; molecular interaction; nonhuman; phenomenology; protein database; protein expression; protein modification; quantitative analysis; Saccharomyces cerevisiae; signal transduction; stochastic model; system analysis; systems biology; Computer Simulation; Models, Biological; Pheromones; Protein Interaction Mapping; Proteome; Research; Saccharomyces cerevisiae; Saccharomyces cerevisiae Proteins; Signal Transduction; Saccharomyces cerevisiae
Año:2008
Volumen:2
Número:5
Página de inicio:222
Página de fin:233
DOI: http://dx.doi.org/10.1049/iet-syb:20080127
Título revista:IET Systems Biology
Título revista abreviado:IET Syst. Biol.
ISSN:17518849
CAS:mitogen activated protein kinase, 142243-02-5; Pheromones; Proteome; Saccharomyces cerevisiae Proteins
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17518849_v2_n5_p222_Yu

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Citas:

---------- APA ----------
Yu, R.C., Resnekov, O., Abola, A.P., Andrews, S.S., Benjamin, K.R., Bruck, J., Burbulis, I.E.,..., Brent, R. (2008) . The Alpha Project: A model system for systems biology research. IET Systems Biology, 2(5), 222-233.
http://dx.doi.org/10.1049/iet-syb:20080127
---------- CHICAGO ----------
Yu, R.C., Resnekov, O., Abola, A.P., Andrews, S.S., Benjamin, K.R., Bruck, J., et al. "The Alpha Project: A model system for systems biology research" . IET Systems Biology 2, no. 5 (2008) : 222-233.
http://dx.doi.org/10.1049/iet-syb:20080127
---------- MLA ----------
Yu, R.C., Resnekov, O., Abola, A.P., Andrews, S.S., Benjamin, K.R., Bruck, J., et al. "The Alpha Project: A model system for systems biology research" . IET Systems Biology, vol. 2, no. 5, 2008, pp. 222-233.
http://dx.doi.org/10.1049/iet-syb:20080127
---------- VANCOUVER ----------
Yu, R.C., Resnekov, O., Abola, A.P., Andrews, S.S., Benjamin, K.R., Bruck, J., et al. The Alpha Project: A model system for systems biology research. IET Syst. Biol. 2008;2(5):222-233.
http://dx.doi.org/10.1049/iet-syb:20080127