A Physical Model of Cell Metabolism

A Physical Model of Cell Metabolism

bioRxiv preprint doi: https://doi.org/10.1101/209551; this version posted October 26, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. A physical model of cell metabolism Jorge Fernandez-de-Cossio-Diaz1 and Alexei Vazquez ∗2,3 1Center of Molecular Immunology, Havana, Cuba 2Cancer Research UK Beatson Institute, Glasgow, UK 3Institute for Cancer Sciences, University of Glasgow, Glasgow, UK October 20, 2017 ∗Corresponding author Cancer Research UK Beatson Institute Garscube Estate, Switchback Road, Glasgow G61 1BD, UK Phone: +44 141 330 8199 Email: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/209551; this version posted October 26, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract Cell metabolism is characterized by three fundamental energy demands to sustain cell maintenance, to trigger aerobic fermentation and to achieve maximum metabolic rate. Here we report a physical model of cell metabolism that explains the origin of these three energy scales. Our key hypothesis is that the maintenance energy demand is rooted on the energy expended by molecular motors to fluidize the cytoplasm and counteract molecular crowd- ing. Using this model and independent parameter estimates we make pre- dictions for the three energy scales that are in quantitative agreement with experimental values. The model also recapitulates the dependencies of cell growth with extracellular osmolarity and temperature. This theory brings together biophysics and cell biology in a tractable model that can be applied to understand key principles of cell metabolism. 2 bioRxiv preprint doi: https://doi.org/10.1101/209551; this version posted October 26, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. The basal metabolic state of a cell is characterized by a maintenance en- ergy demand [33, 6]. It has been estimated from the extrapolation of the growth dependence of the energy demand to the zero growth limit. For mammalian cells it is particularly high, with values around 0.3 mol ATP/L/h [17]. When cells grow, move or perform other functions the energy requirements increase be- yond the basal maintenance demand. Cells utilize glycolysis and oxidative phos- phorylation to satisfy these energetic demands. Glycolysis has a low yield of 2 mol ATP/mol glucose [47], but it is characterized by a high horsepower (en- ergy produced per volume of enzymes) [17, 44]. Oxidative phosphorylation has a higher yield of 32 mol ATP/mol glucose [47], but it is characterized by a lower horsepower [17, 44]. The differences in yield and horsepower imply a metabolic switch from pure oxidative phosphorylation at low energy demands to mixed ox- idative phosphorylation plus obligatory fermentation (glycolysis + lactate release) at high energy demands [46, 44]. For mammalian cells this takes place at an en- ergy demand of about 2 mol ATP/L/h [46], 10 times the energy demand of cell maintenance. Finally, there is the energy demand necessary to sustain the maxi- mum growth rate, or a high metabolic rate in general. The maximum growth rate energy demand can only be sustained by glycolysis [44] and therefore we can es- timate the maximum energy requirements of cells from their maximum reported rates of fermentation. For mammalian cells that gives us an estimate of about 8 mol ATP/L/h [46], close to an order of magnitude above the energy threshold for obligatory fermentation. These metabolic functions are fulfilled within the context of an intracellular milieu crowded with macromolecules and organelles [43]. In fact, both the en- ergy threshold of obligatory fermentation and maximum energy demand can be deduced from molecular crowding constraints. A good order of magnitude can be obtained using simple models focusing on energy and protein balance [4, 44]. More precise estimates can be achieved considering full scale models of cell metabolism with annotations of enzyme kinetic parameters [45, 31, 1, 32, 41, 16]. Yet, no theory has been proposed to explain the origin and magnitude of the main- tenance energy demand. Here we address this problem based on the hypothe- sis that the maintenance energy demand corresponds to the energy expended by molecular motors to fluidize the intracellular milieu. The incorporation of this idea into a basic model of cell metabolism allows us to make quantitative predic- tions of the three energy scales that are in agreement with measured values. We discuss several implications of this theory to motivate further experimental work for its verification. 3 bioRxiv preprint doi: https://doi.org/10.1101/209551; this version posted October 26, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Entropic pressure of molecular crowding The machinery of life operates on the background of a gel like substance with properties distinct from ideal solutions [5]. In turn, the properties of this back- ground substance are affected by the molecular crowding of the cellular machin- ery [14]. Molecular crowding hinders the diffusion of large macromolecules. When a trace particle is confined by the surrounding molecules, impeding its movement, a hole needs to be created to make space available for the trace molecule to diffuse (Fig. 1, molecule A). However, the creation of a hole lowers the entropy of the surrounding system, by reducing the number of microscopic configurations of crowding molecules and free space. Given a regular lattice of N spherical holes and n hard spheres, the entropic pressure associated with the creation of a hole of size equal to m spheres can be estimated as (assuming m n), T ∆S PS = Vh k N N − m = B ln − ln Vh n n k Φ ≈ B ln (1) Vc Φ − φ where Vc is the typical volume of molecular crowders (the hard spheres), Vh = mVc the hole volume, φ = nVc=V the excluded volume fraction by the molec- ular crowders, Φ = NVc=V the maximum packing density and V the cell vol- ume. For typical values of macromolecular volume fraction φ = 0:4 [48], max- imum packing density of polydisperse spheres Φ = 0:8 [40] and protein volume 3 Vc = 135nm [29], we obtain an entropic pressure of about 0:2 atm (at a temper- ature T = 25◦C). This pressure is within the order of the turgor pressure in E. Coli [28] and, therefore, it is physiologically relevant. As expected the entropic pressure diverges as φ approaches the maximum packing density Φ, indicating that at maximum packing the creation of holes becomes unfeasible. We also note that the entropic pressure is inversely proportional to the crowder volume Vc. Molecular motors pressure A fundamental question in cell biology is how cells can achieve high metabolic rates in the context of the highly crowded cellular environment. The experimental evidence tells us that high rates of metabolism coincide with a fluidization of the 4 bioRxiv preprint doi: https://doi.org/10.1101/209551; this version posted October 26, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. cytoplasm [34]. The fluidization of the cell milieu is most likely determined by the activity of molecular motors that push macromolecules at the expense of ATP hy- drolysis [9]. This observation prompted us to the hypothesis that the maintenance energy demand may be rooted on the energy expended by molecular motors. To put this hypothesis into a working model we postulate an ideal gas of molecu- lar motors and determine the motors pressure (Fig. 1, red molecules). As in an ideal gas, we assume the particles (motors) move in a straight line at constant speed, which is a good approximation for the movement of motors along actin fil- aments. The key difference is that the motors have low speeds compared to ideal gas molecules. However, motors can apply significant forces (kicks) of the order of pN. When motors get in contact with macromolecules they can transmit a large impulse (Fig. 1, arrows). Introducing this modification to the classical kinetic theory of gases we obtain the motors pressure (Supplementary Text), pF d P = n (2) M 12 M where F and d are the motors force and displacement per kick, nM is the num- ber of molecular motors per cell volume, and p is the motors persistence, a non- dimensional parameter quantifying the motors tendency to maintain their direction of motion upon contact with macromolecules. The cell could tune the motors concentration in order to counteract the en- tropic pressure of molecular crowding. The optimal motors concentration should be a balance between the tendency of molecular motors to open holes and facili- tate movement (Fig. 1, molecule B) and the energetic cost of motors activity. We postulate that the optimal solution occurs when the motors pressure matches the entropic pressure of molecular crowding PM = PS. From this postulate and equa- tions (1) and (2) we obtain the volume fraction occupied by molecular motors, φM = VM nM , VM kBT Φ φM = 12 ln (3) Vc pF d Φ − φ where VM is the typical volume of molecular motors.

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