Journal article
Systems approaches to the networks of aging
Ageing research reviews, v 5(4), pp 434-448
Nov 2006
PMID: 16904954
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The aging of an organism is the result of complex changes in structure and function of molecules, cells, tissues, and whole body systems. To increase our understanding of how aging works, we have to analyze and integrate quantitative evidence from multiple levels of biological organization. Here, we define a broader conceptual framework for a quantitative, computational systems biology approach to aging. Initially, we consider fractal supply networks that give rise to scaling laws relating body mass, metabolism and lifespan. This approach provides a top-down view of constrained cellular processes. Concomitantly, multi-omics data generation build such a framework from the bottom-up, using modeling strategies to identify key pathways and their physiological capacity. Multiscale spatio-temporal representations finally connect molecular processes with structural organization. As aging manifests on a systems level, it emerges as a highly networked process regulated through feedback loops between levels of biological organization.
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Details
- Title
- Systems approaches to the networks of aging
- Creators
- Andres Kriete (Corresponding Author) - Drexel UniversityBahrad A Sokhansanj - Drexel UniversityDonald L Coppock - Coriell Institute For Medical ResearchGeoffrey B West - Santa Fe Institute
- Publication Details
- Ageing research reviews, v 5(4), pp 434-448
- Publisher
- Elsevier; England
- Number of pages
- 15
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000241852700004
- Scopus ID
- 2-s2.0-33748928646
- Other Identifier
- 991014878125504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Cell Biology
- Geriatrics & Gerontology