The Alpha Project: A model system for systems biology research
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...
Guardado en:
Autores principales: | , |
---|---|
Publicado: |
2008
|
Materias: | |
Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17518849_v2_n5_p222_Yu http://hdl.handle.net/20.500.12110/paper_17518849_v2_n5_p222_Yu |
Aporte de: |
id |
paper:paper_17518849_v2_n5_p222_Yu |
---|---|
record_format |
dspace |
spelling |
paper:paper_17518849_v2_n5_p222_Yu2023-06-08T16:28:45Z The Alpha Project: A model system for systems biology research Colman Lerner, Alejandro Ariel Pesce, Carlos Gustavo 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 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. Fil:Colman-Lerner, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Pesce, C.G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2008 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17518849_v2_n5_p222_Yu http://hdl.handle.net/20.500.12110/paper_17518849_v2_n5_p222_Yu |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
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 |
spellingShingle |
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 Colman Lerner, Alejandro Ariel Pesce, Carlos Gustavo The Alpha Project: A model system for systems biology research |
topic_facet |
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 |
description |
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. |
author |
Colman Lerner, Alejandro Ariel Pesce, Carlos Gustavo |
author_facet |
Colman Lerner, Alejandro Ariel Pesce, Carlos Gustavo |
author_sort |
Colman Lerner, Alejandro Ariel |
title |
The Alpha Project: A model system for systems biology research |
title_short |
The Alpha Project: A model system for systems biology research |
title_full |
The Alpha Project: A model system for systems biology research |
title_fullStr |
The Alpha Project: A model system for systems biology research |
title_full_unstemmed |
The Alpha Project: A model system for systems biology research |
title_sort |
alpha project: a model system for systems biology research |
publishDate |
2008 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17518849_v2_n5_p222_Yu http://hdl.handle.net/20.500.12110/paper_17518849_v2_n5_p222_Yu |
work_keys_str_mv |
AT colmanlerneralejandroariel thealphaprojectamodelsystemforsystemsbiologyresearch AT pescecarlosgustavo thealphaprojectamodelsystemforsystemsbiologyresearch AT colmanlerneralejandroariel alphaprojectamodelsystemforsystemsbiologyresearch AT pescecarlosgustavo alphaprojectamodelsystemforsystemsbiologyresearch |
_version_ |
1768543724333170688 |