Insights from Systems Biology in Physiological Studies: Learning from Context

Autor(es)

Imenez Silva, Pedro Henrique ^{[1, 2]} ; Melo, Diogo ^[3] ; Ribeiro de Mendonca, Pedro Omori ^{[4, 5]}

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Ciencias Biomed, Dept Fisiol & Biofis, Sao Paulo - Brazil

^[2] Univ Zurich, Inst Physiol, Winterthurerstr 190, CH-8057 Zurich - Switzerland

^[3] Univ Sao Paulo, Inst Biociencias, Dept Genet & Biol Evolut, Sao Paulo - Brazil

^[4] Hosp Israelita Albert Einstein, Sao Paulo - Brazil

^[5] Univ Sao Paulo, Inst Ciencias Biomed, Dept Anat, Sao Paulo - Brazil

• Tipo de documento: Artigo de Revisão
• Fonte: CELLULAR PHYSIOLOGY AND BIOCHEMISTRY; v. 42, n. 3, p. 939-951, 2017.
• Citações Web of Science: 1

Resumo

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. (C) 2017 The Author(s) Published by S. Karger AG, Basel (AU)

• Processo FAPESP: 12/23535-4 - O papel dos peptídeos derivados da POMC na diferenciação e função do córtex adrenal
• Beneficiário: Pedro Omori Ribeiro de Mendonça
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 14/26262-4 - Estimativas diretas de parâmetros evolutivos via análise de loci de traços quantitativos
• Beneficiário: Diogo Amaral Reboucas Melo
• Modalidade de apoio: Bolsas no Brasil - Doutorado