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Phenotypic heterogeneity in human genetic diseases: ultrasensitivity-mediated threshold effects as a unifying molecular mechanism.
Sun, Y Henry; Wu, Yueh-Lin; Liao, Ben-Yang.
Afiliação
  • Sun YH; Institute of Molecular and Genomic Medicine, National Health Research Institute, Zhunan, Miaoli, Taiwan. mbyhsun@gate.sinica.edu.tw.
  • Wu YL; Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan. mbyhsun@gate.sinica.edu.tw.
  • Liao BY; Institute of Molecular and Genomic Medicine, National Health Research Institute, Zhunan, Miaoli, Taiwan.
J Biomed Sci ; 30(1): 58, 2023 Jul 31.
Article em En | MEDLINE | ID: mdl-37525275
Phenotypic heterogeneity is very common in genetic systems and in human diseases and has important consequences for disease diagnosis and treatment. In addition to the many genetic and non-genetic (e.g., epigenetic, environmental) factors reported to account for part of the heterogeneity, we stress the importance of stochastic fluctuation and regulatory network topology in contributing to phenotypic heterogeneity. We argue that a threshold effect is a unifying principle to explain the phenomenon; that ultrasensitivity is the molecular mechanism for this threshold effect; and discuss the three conditions for phenotypic heterogeneity to occur. We suggest that threshold effects occur not only at the cellular level, but also at the organ level. We stress the importance of context-dependence and its relationship to pleiotropy and edgetic mutations. Based on this model, we provide practical strategies to study human genetic diseases. By understanding the network mechanism for ultrasensitivity and identifying the critical factor, we may manipulate the weak spot to gently nudge the system from an ultrasensitive state to a stable non-disease state. Our analysis provides a new insight into the prevention and treatment of genetic diseases.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doenças Genéticas Inatas / Mutação Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Biomed Sci Assunto da revista: MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doenças Genéticas Inatas / Mutação Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Biomed Sci Assunto da revista: MEDICINA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan