Systems biology articles within Nature Communications

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  • Article |

    Humans are a network of complex physiological systems, but quantifying these diverse systems is a challenge. This study presents a method to show that each physiological state is characterized by a specific network structure, demonstrating a connection between network topology and function.

    • Amir Bashan
    • , Ronny P. Bartsch
    •  & Plamen Ch. Ivanov
  • Article
    | Open Access

    GALgenes enhance their own transcription via the transcription factor Gal4p, and the number of Galp4 sites in a promoter is expected to strengthen the feedback. In this study, Hsuet al. show that instead the feedback loops are activated by genes that have frequent bursts of expression and fast RNA decay kinetics.

    • Chieh Hsu
    • , Simone Scherrer
    •  & Attila Becskei
  • Article
    | Open Access

    Experience-dependent plasticity and functional adaptation are thought to be restricted to the central nervous and immune systems. This study shows that long-lasting experience-dependent plasticity is a key feature of endocrine cell networks, allowing improved tissue function and hormone output following repeat demand.

    • David J. Hodson
    • , Marie Schaeffer
    •  & Patrice Mollard
  • Article |

    Direct negative feedback decreases fluctuations in homoeostatic control, but intracellular regulatory systems are indirect. Here, an analytical expression is derived to show that indirect feedback in transcription and translation leads to more fluctuations for intermediate delays but not for long delays.

    • Andreas Grönlund
    • , Per Lötstedt
    •  & Johan Elf
  • Article
    | Open Access

    Sixty years ago it was suggested that the sickle cell disease mutation survives because the heterozygous genotype confers resistance to malaria, resulting in correlation of the two geographical distributions. The authors use a new global assembly of sickle allele frequencies to support this hypothesis at the global scale.

    • Frédéric B. Piel
    • , Anand P. Patil
    •  & Simon I. Hay