TY - JOUR
T1 - Temporal metabolic partitioning of the yeast and protist cellular networks
T2 - the cell is a global scale-invariant (fractal or self-similar) multioscillator
AU - Lloyd, David
AU - Murray, Douglas B.
AU - Aon, Miguel A.
AU - Cortassa, Sonia
AU - Roussel, Marc R.
AU - Beckmann, Manfred
AU - Poole, Robert K.
N1 - Funding Information:
DL thanks the collaboration of all the laboratory coworkers and authors involved in the work resulting in publications listed below and those contributing to the preparation of this paper. The influence of the philosophy, insights, and phenomenal practical ability of Britton Chance remains paramount.143,144 This research was supported in part by the Intramural Research Program of the NIH, National Institute on Aging (MAA and SC).
Publisher Copyright:
© The Authors.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - Britton Chance, electronics expert when a teenager, became an enthusiastic student of biological oscillations, passing on this enthusiasm to many students and colleagues, including one of us (DL). This historical essay traces BC’s influence through the accumulated work of DL to DL’s many collaborators. The overall temporal organization of mass-energy, information, and signaling networks in yeast in self-synchronized continuous cultures represents, until now, the most characterized example of in vivo elucidation of time structure. Continuous online monitoring of dissolved gases by direct measurement (membrane-inlet mass spectrometry, together with NAD(P)H and flavin fluorescence) gives strain-specific dynamic information from timescales of minutes to hours as does two-photon imaging. The predominantly oscillatory behavior of network components becomes evident, with spontaneously synchronized cellular respiration cycles between discrete periods of increased oxygen consumption (oxidative phase) and decreased oxygen consumption (reductive phase). This temperature-compensated ultradian clock provides coordination, linking temporally partitioned functions by direct feedback loops between the energetic and redox state of the cell and its growing ultrastructure. Multioscillatory outputs in dissolved gases with 13 h, 40 min, and 4 min periods gave statistical self-similarity in power spectral and relative dispersional analyses: i.e., complex nonlinear (chaotic) behavior and a functional scale-free (fractal) network operating simultaneously over several timescales
AB - Britton Chance, electronics expert when a teenager, became an enthusiastic student of biological oscillations, passing on this enthusiasm to many students and colleagues, including one of us (DL). This historical essay traces BC’s influence through the accumulated work of DL to DL’s many collaborators. The overall temporal organization of mass-energy, information, and signaling networks in yeast in self-synchronized continuous cultures represents, until now, the most characterized example of in vivo elucidation of time structure. Continuous online monitoring of dissolved gases by direct measurement (membrane-inlet mass spectrometry, together with NAD(P)H and flavin fluorescence) gives strain-specific dynamic information from timescales of minutes to hours as does two-photon imaging. The predominantly oscillatory behavior of network components becomes evident, with spontaneously synchronized cellular respiration cycles between discrete periods of increased oxygen consumption (oxidative phase) and decreased oxygen consumption (reductive phase). This temperature-compensated ultradian clock provides coordination, linking temporally partitioned functions by direct feedback loops between the energetic and redox state of the cell and its growing ultrastructure. Multioscillatory outputs in dissolved gases with 13 h, 40 min, and 4 min periods gave statistical self-similarity in power spectral and relative dispersional analyses: i.e., complex nonlinear (chaotic) behavior and a functional scale-free (fractal) network operating simultaneously over several timescales
KW - oscillations
KW - rhythms
KW - respiration
KW - redox
KW - mitochondria
KW - metabolism
KW - Biological Clocks/physiology
KW - NADP/metabolism
KW - Cell Respiration/physiology
KW - Fractals
KW - Saccharomyces cerevisiae/physiology
UR - http://www.scopus.com/inward/record.url?scp=85058270428&partnerID=8YFLogxK
U2 - 10.1117/1.JBO.24.5.051404
DO - 10.1117/1.JBO.24.5.051404
M3 - Article
C2 - 30516036
SN - 1083-3668
VL - 24
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
IS - 5
M1 - 051404
ER -