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Insights from Systems Biology in Physiological Studies: Learning from Context
Author(s) -
Pedro Henrique Imenez Silva,
Diogo Melo,
Pedro Omori Ribeiro de Mendonça
Publication year - 2017
Publication title -
cellular physiology and biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.486
H-Index - 87
eISSN - 1421-9778
pISSN - 1015-8987
DOI - 10.1159/000478648
Subject(s) - throughput , systems biology , computer science , modularity (biology) , context (archaeology) , cognitive science , biology , artificial intelligence , data science , computational biology , psychology , evolutionary biology , telecommunications , paleontology , wireless
Systems biology presents an integrated view of biological systems, focusing on the relations between elements, whether functional or evolutionary, and providing a rich framework for the comprehension of life. At the same time, many low-throughput experimental studies are performed without influence from this integrated view, whilst high-throughput experiments use low-throughput results in their validation and interpretation. We propose an inversion in this logic, and ask which benefits could be obtained from a holistic view coming from high-throughput studies-and systems biology in particular-in interpreting and designing low-throughput experiments. By exploring some key examples from the renal and adrenal physiology, we try to show that network and modularity theory, along with observed patterns of association between elements in a biological system, can have profound effects on our ability to draw meaningful conclusions from experiments.

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