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Toward integration of biological and physiological functions at multiple levels
1Division of Bioengineering, Graduate School of Engineering Science, Osaka University Toyonaka, Osaka, Japan. taishin@bpe.es.osaka-u.ac.jp
Frontiers in Physiology
|March 23, 2011
Summary
Systems physiology aims to bridge cellular and organ functions with molecular attributes using quantitative models. This approach integrates biological and physiological knowledge across time and space for a deeper understanding.
Area of Science:
- Systems physiology
- Computational biology
- Bioinformatics
Background:
- Current systems physiology lacks quantitative links between phenomenological and physical attributes.
- Understanding physiological functions requires integrating knowledge across molecular, cellular, and organ levels.
Purpose of the Study:
- To propose schemas for promoting systems physiology through IT infrastructure.
- To integrate quantitative knowledge of biological and physiological functions across multiple scales.
- To emphasize systematic, modular, hierarchical, and standardized mathematical models.
Main Methods:
- Utilizing information technology infrastructure for data integration.
- Developing systematic, modular, and hierarchical descriptions of mathematical models.
- Focusing on quantitative knowledge integration across temporal and spatial scales.
Main Results:
- Illustrates potential schemas for advancing systems physiology.
- Demonstrates the integration of multi-scale biological and physiological data.
- Highlights advantages of standardized, hierarchical mathematical models.
Conclusions:
- Quantitative integration of multi-scale data is crucial for systems physiology.
- Standardized, modular mathematical models facilitate understanding of physiological functions.
- Information technology is key to bridging biological and physiological knowledge gaps.
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