4.8 Article

Landscape and flux reveal a new global view and physical quantification of mammalian cell cycle

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1408628111

Keywords

cell cycle phases; cell cycle checkpoints; landscape; flux

Funding

  1. National Science Foundation
  2. National Science Foundation of China [21190040, 11174105]
  3. 973 Project of China [2009CB930100, 2010CB933600]
  4. Div Of Molecular and Cellular Bioscience
  5. Direct For Biological Sciences [0947767] Funding Source: National Science Foundation

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Cell cycles, essential for biological function, have been investigated extensively. However, enabling a global understanding and defining a physical quantification of the stability and function of the cell cycle remains challenging. Based upon a mammalian cell cycle gene network, we uncovered the underlying Mexican hat landscape of the cell cycle. We found the emergence of three local basins of attraction and two major potential barriers along the cell cycle trajectory. The three local basins of attraction characterize the G1, S/G2, and M phases. The barriers characterize the G1 and S/G2 checkpoints, respectively, of the cell cycle, thus providing an explanation of the checkpoint mechanism for the cell cycle from the physical perspective. We found that the progression of a cell cycle is determined by two driving forces: curl flux for acceleration and potential barriers for deceleration along the cycle path. Therefore, the cell cycle can be promoted (suppressed), either by enhancing (suppressing) the flux (representing the energy input) or by lowering (increasing) the barrier along the cell cycle path. We found that both the entropy production rate and energy per cell cycle increase as the growth factor increases. This reflects that cell growth and division are driven by energy or nutrition supply. More energy input increases flux and decreases barrier along the cell cycle path, leading to faster oscillations. We also identified certain key genes and regulations for stability and progression of the cell cycle. Some of these findings were evidenced from experiments whereas others lead to predictions and potential anticancer strategies.

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