NatureDevelopmental BiologyPeer-reviewed journal article
Metabolic regulation of species-specific developmental rates
Margarete Díaz-CuadrosiD, Teemu P. MiettineniD, Owen S. SkinneriD, Dylan Sheedy, Carlos Manlio Díaz‐GarcíaiD, Svetlana Gapon, Alexis HubaudiD, Gary YelleniD, Scott R. ManalisiD, William M. OldhamiD, Olivier PourquiéiD
Abstract
Animals display significant inter-specific variation in the rate of embryonic development despite broad conservation of the overall sequence of developmental events. Differences in biochemical reaction speeds, including the rates of protein production and degradation, are thought to be responsible for distinct species-specific rates of development [1-3]. However, the cause of differential biochemical reaction speeds between species remains unknown. Using pluripotent stem cells, we have established an in vitro system that recapitulates the two-fold difference in developmental rate between early mouse and human embryos. This system provides a quantitative measure of developmental speed as revealed by the period of the segmentation clock, a molecular oscillator associated with the rhythmic production of vertebral precursors. Using this system, we showed that mass-specific metabolic rates scale with developmental rate and are therefore elevated in mouse cells compared to human cells. We further showed that reducing these metabolic rates by pharmacologically inhibiting the electron transport chain slows down the segmentation clock. The effect of the electron transport chain on the segmentation clock is mediated by the cellular NAD+/NADH redox balance independent of ATP production and, further downstream, by the global rate of protein synthesis. These findings represent a starting point for the manipulation of developmental rate, which would find multiple translational applications including the acceleration of human pluripotent stem cell differentiation for disease modeling and cell-based therapies.
- organism: mouse
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- Citations
- 145
- FWCI
- 12.59
- Field percentile
- top 1%
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