Main

The rate of embryonic development across animal taxa varies among species and is correlated with lifespan, body size and other life history traits4,5. Among mammals, large-bodied species develop at slower rates and display increased lifespans (for example, humans) compared with small-bodied animals6 (for example, mice). Although early mouse and human embryos undergo the same series of developmental steps and are similar in overall size, human embryos undergo the same steps 2–3 times more slowly7. The segmentation clock represents an ideal model to study developmental rate because its period is species-specific and temperature-sensitive, and it scales with the speed of embryonic development1,8,9. This clock consists of a molecular oscillator that operates in the precursors of the musculoskeletal system in the presomitic mesoderm (PSM), where it controls the periodicity of somite formation10.

An in vitro model of developmental rate

We previously reported the establishment of pluripotent stem cell (PSC)-derived models of the mouse and human segmentation clocks11. We developed an updated protocol to differentiate mouse and human PSCs towards the PSM fate under identical conditions (Fig. 1a). The differentiation efficiency was remarkably high, with 78.3 ± 1% of mouse and 96.5 ± 1.5% of human cells expressing the posterior PSM-specific marker MSGN1-Venus (Fig. 1b and Extended Data Fig. 1a). Mouse cells activated MSGN1-Venus with accelerated kinetics compared with human cells (1–2 days for mouse versus 2–3 days for human) (Fig. 1b). The duration of the cell cycle was also shorter in mouse than in human PSM cells (13.9 ± 2 h versus 21.9 ± 3.6 h, respectively) (Fig. 1c). The oscillations of the segmentation clock reporter HES7-Achilles were more frequent in mouse than in human PSM cells (2.6 ± 0.3 h versus 4.9 ± 0.3 h) (Fig. 1d,e and Supplementary Videos 1 and 2)12,13,14. Notably, the cell cycle time and segmentation clock period of PSC-derived mouse PSM cells did not significantly differ from those of primary PSM cells from E9.5 embryos15 (clock period: 2.5 ± 0.3 h versus 2.6 ± 0.1 h, P = 0.314; cell cycle: 13.9 ± 2 h versus 13.07 ± 1 h, P = 0.057) (Extended Data Fig. 1b,c). Together, these observations indicated an approximately twofold difference in developmental rate between mouse and human PSM cells differentiating in vitro.

Fig. 1: Cell-autonomous differences in developmental rate between differentiating mouse and human PSM cells.
figure 1

a, Schematic illustrating the differentiation of mouse and human PSCs towards PSM fate. The accelerated developmental pace of mouse cells is reflected in the reduced induction time and short oscillatory period relative to human cells. EpiLCs, epiblast-like cells; iPS cells, induced pluripotent stem cells. b, PSM induction efficiency over the course of 3 days of differentiation for mouse and human PSCs. The percentage of cells expressing MSGN1-Venus was assessed by flow cytometry. n = 5 independent experiments. c, Cell cycle duration for PSC-derived mouse and human PSM cells. Data are mean ± s.d. n = 33 (mouse), n = 26 (human). Unpaired two-sided t-test: P = 2.88 × 10−15. d, HES7-Achilles oscillation profiles for PSC-derived mouse and human PSM cells over the course of 18 h. Data are mean ± s.e.m. n = 5 independent experiments. AU, arbitrary units. e, Period of HES7-Achilles oscillations in PSC-derived mouse and human PSM cells. Data are mean ± s.d. n = 25. Unpaired two-sided t-test: P = 7.33 × 10−41. f, Left, experimental strategy for the co-culture of CAG-H2B-mCherry; HES7-Achilles human or CAG-NLS-BFP; Hes7-Achilles mouse PSM cells with non-reporter mouse E14 or human NCRM1 PSM cells at a ratio of 1:100. Right, merged bright-field and fluorescence images of human HES7-Achilles in human–human (top) and human–mouse (bottom) co-cultures. Scale bars, 100 μm. g, Period of HES7-Achilles oscillations in mouse (left) or human (right) HES7-Achilles PSM cells co-cultured with an excess of either mouse or human non-reporter PSM cells. Data are mean ± s.d. n = 56 (mouse–mouse), n = 56 (mouse–human), n = 41 (human–mouse), n = 53 (human–human). One-way ANOVA with Šidák correction.

Source data

In vitro, the segmentation clock retains its species-specific period in isolated cells1,11,15. When we performed homo- or hetero-specific co-cultures of individual mouse Hes7-Achilles reporter PSM cells mixed with unlabelled PSM cells of either human or mouse origin at a ratio of 1:100 (Fig. 1f), the segmentation clock period remained unchanged (2.29 ± 0.57 h versus 2.19 ± 0.46 h, P = 0.73) (Fig. 1g, Extended Data Fig. 1d,f,h,I and Supplementary Video 3). This was also true for individual human reporter cells co-cultured with an excess of either human or mouse PSM cells (4.71 ± 0.94 h versus 4.71 ± 0.88 h, P = 0.99) (Fig. 1g, Extended Data Fig. 1e,f,j,k and Supplementary Video 4). Although inter-species co-culture conditions gave rise to variable effects in oscillation amplitude (Extended Data Fig. 1g–k), these results indicated that the segmentation clock period is controlled autonomously by the cell.

The cell cycle has been proposed to function as a clock that controls developmental speed2,16. However, treating human PSM cells with aphidicolin led to near-complete cell cycle arrest but did not affect the oscillatory period (4.93 ± 0.47 h versus 4.88 ± 0.31 h, P = 0.7378) (Extended Data Fig. 2a,b). Thus, the cell cycle does not contribute to the regulation of the segmentation clock period.

Species-specific metabolic rates

According to Kleiber’s law, mass-specific metabolic rates scale allometrically with adult body mass17. Gestation length also scales with adult body mass18, suggesting that differences in basal metabolism could potentially explain the accelerated biochemical kinetics associated with faster development in mouse compared to human cells1,2. When comparing similar numbers of PSM cells, basal glycolytic proton efflux rate (glycoPER) was not different between mouse and human cells (8.9 × 10−3 ± 6.3 × 10−4 pmol min−1 per cell versus 8.8 × 10−3 ± 4.4 × 10−4 pmol min−1 per cell, P = 0.783) and basal oxygen consumption rate (OCR) was slightly higher in human cells (1.01 × 10−3 ± 4.3 × 10−5 pmol min−1 per cell versus 1.09 × 10−3 ± 4.5 × 10−5 pmol min−1 per cell, P = 0.0002) (Extended Data Fig. 2c,d).

However, we noted that human PSM cells had approximately twice the volume of mouse cells (2,060 ± 524 fl versus 885.9 ± 157.9 fl, P < 0.0001) (Fig. 2a and Extended Data Fig. 2e). When measured with a suspended microchannel resonator19,20 (SMR), the mass of human cells was also approximately twice that of mouse cells (2,002 ± 71 pg versus 1,066 ± 56 pg, P < 0.0001) (Fig. 2b and Supplementary Table 2), such that the density was qualitatively similar for both species (1.057 ± 0.003 pg fl−1 versus 1.061 ± 0.002 pg fl−1, P = 0.03) (Extended Data Fig. 2f and Supplementary Table 2). We also measured the dry mass, dry volume and dry density of single cells by comparing the cell’s buoyant mass in medium prepared with either normal water (H2O) or deuterium-based heavy water19,20 (D2O). The dry mass of mouse PSM cells was less than half that of human cells (162 ± 5.7 pg versus 380 ± 29.6 pg, P = 0.0002), as was dry volume (113 ± 5 fl versus 278 ± 24 fl, P = 0.0003) (Extended Data Fig. 2g,h and Supplementary Table 2). Dry mass density, which depends on the molecular composition of the cell, was thus qualitatively similar between the two species (1.435 ± 0.015 pg fl−1 versus 1.365 ± 0.012 pg fl−1, P = 0.004) (Extended Data Fig. 2i and Supplementary Table 2). Thus, human cells contained twice as much biological material as mouse cells. Consequently, normalization by either volume or mass is required to correct for the cell size difference between the two species. Mass-specific OCR (1.013 × 10−6 ± 4.333 × 10−8 pmol min−1 pg−1 versus 5.475 × 10−7 ± 2.272 × 10−8 pmol min−1 pg−1, P < 0.0001) and glycoPER (8.905 × 10−6 ± 6.372 × 10−7 pmol min−1 pg−1 versus 4.425 × 10−6 ± 2.212 × 10−7 pmol min−1 pg−1, P < 0.0001) were twice as high in mouse compared with human cells (Fig. 2c,d). The extracellular acidification rate (ECAR), which accounts for glycolytic and other acidification sources such as CO2 secretion, was also twice as high per unit mass in mouse compared with human cells (5.685 × 10−7 ± 3.493 × 10−8 mpH min−1 pg−1 versus 2.805 × 10−7 ± 1.315 × 10−8 mpH min−1 pg−1) (Extended Data Fig. 2j).

Fig. 2: Mass-specific metabolic rates are higher in mouse PSM cells compared with human PSM cells.
figure 2

a, Volume of MSGN1-Venus+ PSC-derived mouse and human PSM cells as measured with a Coulter counter. Data are mean ± s.d. n = 21. Unpaired two-sided t-test: P = 3.25 × 10−12. b, Total cell mass of MSGN1-Venus+ PSC-derived mouse and human PSM cells as measured on a SMR. Each data point represents the mean of more than 200 individual cells. Data are mean ± s.d. n = 3 independent experiments. Unpaired two-sided t-test: P = 5.77 × 10−5. c, Mass-specific oxygen consumption rate for MSGN1-Venus+ PSC-derived mouse and human PSM cells. Data are mean ± s.d. n = 12. Unpaired two-sided t-test: P = 3.19 × 10−20. d, Mass-specific glycolytic proton efflux rate for MSGN1-Venus+ PSC-derived mouse and human PSM cells. Data are mean ± s.d. n = 15. Unpaired two-sided t-test: P = 5.05 × 10−21. e, Mass-specific cumulative glucose consumption for MSGN1-Venus+ PSC-derived mouse and human PSM cells. n = 5. Multiple unpaired two-sided t-tests with false discovery rate (FDR) = 1%. P values: 1 h, 0.6074; 2 h, 0.0691, 3 h, 0.0013, 4 h, 7.44 × 10−8; 5 h, 2.29 × 10−9; 6 h, 3.58 × 10−12. f, Mass-specific cumulative lactate secretion for MSGN1-Venus+ PSC-derived mouse and human PSM cells. n = 5. Multiple unpaired two-sided t-tests with FDR = 1%. P values: 1 h, 0.00364; 2 h, 0.00246; 3 h, 0.0128; 4 h, 0.000039; 5 h, 0.000259; 6 h, 0.000172. g, Coupling efficiency shown as the percent of basal oxygen consumption linked to ATP production in MSGN1-Venus+ PSC-derived mouse and human PSM cells. Data are mean ± s.d. n = 7 biological replicates. Unpaired two-sided t-test. h, Inner mitochondrial membrane potential (ΔΨm) in PSC-derived mouse and human PSM cells as measured by the ratiometric JC-1 dye. Data are mean ± s.d. n = 4 biological replicates. Unpaired two-sided t-test. i, Mass-specific mitochondrial content (MitoTracker Green) in PSC-derived mouse and human PSM cells. Data are mean ± s.d. n = 6 biological replicates. Unpaired two-sided t-test. j, Extracellular lactate/pyruvate ratio in PSC-derived mouse and human PSM cells, which reflects the cytosolic NADH/NAD+ ratio. Data are mean ± s.d. n = 9. Unpaired two-sided t-test with Welch’s correction: P = 9.02 × 10−5. *P< 0.05.

Source data

Rates of glucose consumption (mouse: 1.252 × 10−10 μmol pg−1 h−1, 95% confidence interval: 1.172 × 10−10 to 1.333 × 10−10 μmol pg−1 h−1 versus human: 6.922 × 10−11 μmol pg−1 h−1, 95% confidence interval: 6.524 × 10−11 to 7.319 × 10−11 μmol pg−1 h−1; P < 0.0001) and lactate secretion (mouse: 4.085 × 10−10 μmol pg−1 h−1, 95% confidence interval: 3.777 × 10−10 to 4.394 × 10−10 μmol pg−1 h−1 versus human: 2.410 × 10−10 μmol pg−1 h−1, 95% confidence interval: 2.249 × 10−10 to 2.571 × 10−10 μmol pg−1 h−1, P < 0.0001) per unit mass were significantly higher in mouse cells (Fig. 2e,f). These data are consistent with the Warburg-like metabolism of PSM cells, in which active glycolysis producing large amounts of lactate coexists with aerobic respiration21,22. Mass-specific glutamine consumption was also significantly higher in mouse PSM cells (0.00136 ± 0.00022 relative light units (RLU) pg−1 versus 0.00078 ± 0.0002237 RLU pg−1, P = 0.0103) (Extended Data Fig. 2k).

We compared the metabolic rates of mouse and human neural progenitors differentiated in vitro from PSCs. PAX6+ neural progenitors were induced after 5 days for mouse and 7 days for human PSCs (Extended Data Fig. 2l,m). We did not detect significant volume differences between mouse and human neural progenitors (1,255 ± 88 fl versus 1,203 ± 86 fl, P = 0.5101) (Extended Data Fig. 2n). However, volume-specific OCR (8.437 × 10−7 ± 6.779 × 10−8 pmol min−1 fl−1 versus 1.449 × 10−7 ± 1.859 × 10−8 pmol min−1 fl−1, P < 0.0001) and ECAR (2.99 × 10−7 ± 5.781 × 10−8 mpH min−1 fl−1 versus 1.76 × 10−7 ± 2.521 × 10−8 mpH min−1 fl−1, P < 0.0001) were significantly higher in mouse (Extended Data Fig. 2o,p). Thus, normalized metabolic rates are higher in mouse PSM and neural progenitor cells compared with the equivalent human cells.

We next performed stable isotope tracing with uniformly labelled [U-13C6]glucose and [U-13C5]glutamine in mouse and human PSM cells. Temporal labelling profiles were qualitatively similar between both species and labelling patterns for most metabolites were stabilized by 24 h (Extended Data Fig. 3a–f and Supplementary Table 3). At isotopic steady state, glucose tracing led to high labelling levels for pyruvate and lactate, as well as partial labelling of TCA intermediates (Extended Data Fig. 3g–l). Glutamine tracing showed intermediate labelling levels for glutamate and TCA metabolites, but not pyruvate or lactate, supporting an anaplerotic role in the TCA cycle (Extended Data Fig. 3m–r). Of note, stable isotope labelling patterns were almost identical between species, indicating that only the rate of glucose and glutamine utilization by downstream metabolic pathways differs between mouse and human.

We next performed mitochondrial stress tests using a Seahorse instrument. Mouse and human PSM cells differed in their maximal mass-specific respiration rate (2.117 × 10−6 ± 1.559 × 10−7 pmol min−1 pg−1 versus 4.467 × 10−7 ± 5.737 × 10−8 pmol min−1 pg−1, P < 0.0001) and their spare respiratory capacity (192 ± 11.6% versus 119.7 ± 4.2% of basal OCR, P < 0.0001), which were significantly higher in mouse cells (Extended Data Fig. 4a,b). Respiration was less coupled to ATP production in mouse cells than in human cells (74 ± 0.9% versus 87 ± 6.4% of basal OCR, P = 0.0017), reflecting an increase in proton leak (Fig. 2g)23. Measurement of the inner mitochondrial membrane potential (ΔΨm) with the ratiometric dye JC-1 revealed lower ΔΨm in mouse cells than in human cells (red/green fluorescence ratio—0.66 ± 0.018 versus 0.78 ± 0.033, P = 0.0046) (Fig. 2h). Staining differentiated cells with MitoTracker Green revealed that the mitochondrial content per unit mass is approximately twice as high in mouse as in human cells (39.5 ± 2.9 mean fluorescence intensity (MFI) pg−1 versus 17.7 ± 0.7 MFI pg−1, P = 0.0002) (Fig. 2i). Moreover, when we isolated mitochondria from PSM cells and cultured them with complex I substrates (that is, pyruvate and malate), mouse mitochondrial OCR was consistently higher than in the human cells (Extended Data Fig. 4c). Thus, mitochondrial abundance and inherent differences in mitochondrial properties contribute to the elevated respiration in mouse PSM cells24.

ETC impairment slows the clock

In the chicken embryo, inhibition of respiration but not glycolysis alters segmentation clock oscillations21. We thus partially impaired the electron transport chain (ETC) in human PSM cells using inhibitors at sub-lethal concentrations, and measured the effect on the segmentation clock (Extended Data Fig. 4f). Treatment with inhibitors of ETC complexes I (rotenone), II (atpenin A5), III (antimycin A) and IV (sodium azide) (Fig. 3a), led to a decrease in basal respiration of more than 50% (control: 100 ± 21.6%, 20 nM rotenone: 41.5 ± 8.3%, 50 nM atpenin: 44.9 ± 9.6%, 100 nM antimycin A: 20.4 ± 6.4%, 1 mM sodium azide: 9.5 ± 3% of control, P < 0.0001 in all cases) (Extended Data Fig. 5a). These inhibitors led to premature arrest of segmentation clock oscillations (number of oscillations in 25 h—control: 5.3 ± 0.6, 20 nM rotenone: 3.5 ± 0.5, 50 nM atpenin: 3.5 ± 0.8, 100 nM antimycin A: 3.1 ± 0.3, 1 mM sodium azide: 3.2 ± 0.6, P < 0.001 in all cases) with variable effects on oscillation amplitude (Extended Data Fig. 5b,c,e–h,q–t). We observed a significant increase in the segmentation clock period (control: 4.86 ± 0.36 h, 20 nM rotenone: 5.56 ± 0.31 h, 50 nM atpenin: 5.66 ± 0.48 h, 100 nM antimycin A: 6.05 ± 0.31 h, 1 mM sodium azide: 6.57 ± 0.42 h, P < 0.0001 in all cases) (Fig. 3b, Extended Data Fig. 5d,k–n and Supplementary Video 5). As ETC impairment leads to cell cycle arrest25, we could not measure cell cycle length. Thus, decreasing the metabolic rate can decrease the clock period.

Fig. 3: Regulation of the segmentation clock by the NAD+/NADH ratio.
figure 3

a, ETC and relevant small molecule inhibitors. Adapted from BioRender.com (2021). Cyt c, cytochrome c. b, The HES7-Achilles oscillatory period in human PSM cells treated with DMSO control (n = 53), 20 nM rotenone (n = 23), 50 nM atpenin A5 (n = 36), 100 nM antimycin A (n = 26), 1 mM sodium azide (n = 30), 1 μM oligomycin (n = 44) or 1 μM FCCP (n = 55) for 24 h. Data are mean ± s.d. One-way ANOVA with Šidák correction. Rotenone, P = 1.1 × 10−8; atpenin, P = 6.4 × 10−14; antimycin, P = 1.85 × 10−23; azide, P = 1.88 × 10−42. c, Whole-cell NAD+/NADH ratio in human PSM cells treated with DMSO control, 20 nM rotenone, 100 nM antimycin A, 1 mM sodium azide and 1 mM sodium azide with 1 mM sodium pyruvate for 24 h. Data are mean ± s.d. n = 4 biological replicates. One-way ANOVA with Dunnett correction. Control versus azide, P = 1.1 × 10−5. d, The HES7-Achilles oscillatory period in human PSM cells treated with DMSO control (n = 67), 1 mM sodium azide alone (n = 46), azide with 1 mM sodium pyruvate (n = 27) or azide with 5 μM duroquinone (DQ) (n = 46). Data are mean ± s.d. One-way ANOVA with Tukey’s correction. Control versus azide, P = 7.4 × 10−14; control versus azide + pyruvate, P = 1.2 × 10−5; control versus azide + duroquinone, P = 7.5 × 10−14; azide versus azide + pyruvate, P = 1.4 × 10−13. e, NADH oxidation reaction catalysed by LbNOX28. f, Whole-cell NAD+/NADH ratio in human PSM cells transduced with a lentivirus expressing either mCherry alone or LbNOX with mCherry. Data are mean ± s.d. n = 8 biological replicates. Unpaired two-sided t-test. g, HES7-Achilles oscillatory period in human PSM cells transduced with a lentivirus expressing either mCherry alone (n = 113) or LbNOX with mCherry (n = 116). Data are mean ± s.d. Unpaired two-sided t-test: P = 3.7 × 10−10. h, MSGN1-Venus fluorescence during days 1–2 of human PSM differentiation, transduced with a lentivirus expressing either mCherry alone or LbNOX with mCherry. Data are mean ± s.e.m. n = 7 biological replicates. i, Cell cycle length in human PSM cells transduced with a lentivirus expressing either mCherry alone (n = 23) or LbNOX with mCherry (n = 25). Data are mean ± s.d. Unpaired two-sided t-test.

Source data

ETC activity builds up a proton gradient across the inner mitochondrial membrane that powers oxidative phosphorylation. Inhibiting ATP synthase with oligomycin led to premature arrest of oscillations (number of oscillations in 25 h—5.3 ± 0.6 versus 3.6 ± 1, P < 0.0001) and reduced the oscillation amplitude (99.7 ± 29.4% versus 42.9 ± 11.6% of control, P < 0.0001) (Extended Data Fig. 5b,c,i,u). Surprisingly, this did not alter the period (4.86 ± 0.36 h versus 4.76 ± 0.45 h, P = 0.8541) (Fig. 3b and Extended Data Fig. 5d,o), despite a significant reduction of OCR (100 ± 21.6% versus 56.7 ± 22.8% of control, P < 0.001) (Extended Data Fig. 5a). Treatment with the ionophore FCCP decreased ΔΨm (fluorescence ratio—0.99 ± 0.02 versus 0.11 ± 0.01, P < 0.0001), uncoupling ETC activity from ATP production (Extended Data Fig. 5w). In cells treated with 1 µM FCCP for 24 h, oxygen consumption levels were indistinguishable from those in control cells (100 ± 21.6% versus 99.5 ± 17.2% of control, P > 0.999), representing entirely leak respiration (Extended Data Fig. 5a). FCCP-treated cells did not show premature arrest of oscillations (number of oscillations in 25 h—5.3 ± 0.6 versus 5.1 ± 4, P = 0.968) but displayed decreased amplitude (99.7 ± 29.4% versus 61.9 ± 15% of control, P = 0.0047) (Extended Data Fig. 5b,c,j,v). FCCP did not affect the clock period (4.86 ± 0.36 h versus 4.68 ± 0.59 h, P = 0.1849) (Fig. 3b and Extended Data Fig. 5d,p). Thus, ETC activity—rather than oxidative phosphorylation—is involved in controlling the segmentation clock period.

These results suggested that cellular ATP levels are not involved in regulating the clock period. Indeed, the ADP/ATP ratio was higher in mouse PSM cells than in human cells (0.42 ± 0.06 versus 0.22 ± 0.03, P < 0.0001) (Extended Data Fig. 4d), suggesting that an increased cellular energy charge does not mediate the accelerated developmental rate of mouse cells. To test this hypothesis, we cultured human PSM cells under conditions of increasing cellular ATP concentration. First, we supplemented the medium with succinate to directly feed the ETC at complex II. Second, we replaced glucose with galactose in the medium to increase the reliance on oxidative phosphorylation for ATP production. Third, we treated the cells with the pyruvate dehydrogenase kinase (PDK) inhibitor dichloroacetate (DCA) to increases the conversion of pyruvate to acetyl-CoA for consumption by the TCA cycle (Extended Data Fig. 6a). Under all three conditions, ATP levels increased (control: 0.005826 ± 0.00027 μg, 25 mM succinate: 0.006776 ± 0.00027 μg, 10 mM galactose: 0.007315 ± 0.00009 μg, 6.25 mM DCA: 0.006778 ± 0.00036 μg ATP per well, P < 0.0001 in all cases) (Extended Data Fig. 6b) along with OCR/ECAR ratio (control: 1.757 ± 0.24, 25 mM succinate: 2.03 ± 0.14, P = 0.0016, 10 mM galactose: 10.08 ± 1.99, P < 0.0001, 6.25 mM DCA: 2.03 ± 0.21, P = 0.0033) (Extended Data Fig. 6c–e). Replacement of glucose by galactose decreased ECAR compared with control and other treatments (control: 49.21 ± 4.07 mpH min−1 per well, 25 mM succinate: 46.35 ± 1.91 mpH min−1 per well, P = 0.0099; 10 mM galactose: 7.92 ± 1.06 mpH min−1 per well, P < 0.0001; 6.25 mM DCA: 31.76 ± 2.66 mpH min−1 per well, P < 0.0001) (Extended Data Fig. 6e), such that glycolytic ATP production was strongly downregulated (control: 72.04 ± 0.95%, 25 mM succinate: 65.96 ± 0.82%, 10 mM galactose: 16.82 ± 2.37%, 6.25 mM DCA: 67.02 ± 1.5%, P < 0.0001 in all cases) (Extended Data Fig. 6f). The clock period in cells treated with succinate, galactose or DCA was moderately lengthened (control: 4.73 ± 0.4 h, 25 mM succinate: 5.07 ± 0.41 h, P = 0.0111; 10 mM galactose: 5.28 ± 0.52 h, P < 0.0001; 6.25 mM DCA: 5.22 ± 0.38 h, P < 0.0001) (Extended Data Fig. 6g–m,q). Although the amplitude of oscillations was decreased in galactose and DCA-treated cells (control: 99.59 ± 19.6%, 25 mM succinate: 81.67 ± 17.9%, P = 0.0715; 10 mM galactose: 67.45 ± 18.5%, P = 0.0018; 6.25 mM DCA: 79.29 ± 16.6% of control, P = 0.0347) (Extended Data Fig. 6n–p,r), oscillations persisted normally (number of oscillations in 25 h—control: 5.26 ± 0.4, 25 mM succinate: 5 ± 0, P = 0.2647; 10 mM galactose: 5 ± 0, P = 0.3537; 6.25 mM DCA: 5.25 ± 0.4, P = 0.9999) (Extended Data Fig. 6s). Cell cycle length was also increased (control: 20.84 ± 3.1 h, 25 mM succinate: 23.04 ± 3.8 h, P = 0.0105; 10 mM galactose: 28.66 ± 3.7 h, P < 0.0001; 6.26 mM DCA: 23.66 ± 2.9 h, P = 0.0024) (Extended Data Fig. 6t). Together, these results confirmed that higher ATP concentrations do not promote faster oscillations or proliferation.

NAD+/NADH regulates the clock period

In cancer cells, PDK inhibition also decreases cellular proliferation26. This activates pyruvate dehydrogenase, shunting pyruvate away from lactate dehydrogenase (LDH), leading to a lower NAD+/NADH ratio (Extended Data Fig. 6a). Additionally, complex I of the ETC cannot sufficiently regenerate cellular NAD+ because the inner mitochondrial membrane becomes hyperpolarized and opposes the pumping of additional protons. Supplementing cells with pyruvate, which can be rapidly reduced by LDH to generate NAD+, rescues the proliferation rate of cells treated with a PDK inhibitor26. Restoring ETC activity by dissipating the increased ΔΨm with uncoupling agents such as FCCP rescues the NAD+/NADH ratio and proliferation rate26. A similar mechanism may be responsible for the increased segmentation clock period in PSM cells subjected to PDK inhibition. We observed significantly lower total NAD+/NADH ratio (11.59 ± 0.7 versus 9.63 ± 0.5, P = 0.0003) (Extended Data Fig. 7a) and increased ΔΨm (0.99 ± 0.02 versus 1.12 ± 0.05, P = 0.038) (Extended Data Fig. 7b) in PSM cells treated with 6.25 mM DCA. The NAD+/NADH ratio could be restored to control levels by pyruvate supplementation or FCCP treatment (control: 11.59 ± 0.7, DCA + pyruvate: 12.4 ± 0.09, P = 0.084; DCA + 10 nM FCCP: 12.02 ± 0.3, P = 0.4634) (Extended Data Fig. 7a).

These total NAD+/NADH ratio measurements included both mitochondrial and cytoplasmic NAD(H) pools. We generated a human PSC line carrying the fluorescent sensor Peredox, which exhibits increased fluorescence when cytoplasmic—but not mitochondrial—levels of NADH are increased27 (Extended Data Fig. 7c,d). Using this reporter line, we confirmed the changes in cytosolic NAD+/NADH ratio upon DCA treatment and its restoration by pyruvate and FCCP (Peredox/mCherry ratio—control: 1.053 ± 0.04, DCA: 1.114 ± 0.02, P = 0.0074; DCA + pyruvate: 1.08 ± 0.01, P = 0.2425; DCA + 10 nM FCCP: 1.07 ± 0.02, P = 0.6327) (Extended Data Fig. 7e). Of note, the clock period in DCA-treated cells was fully rescued by both pyruvate and FCCP (control: 4.63 ± 0.4 h, DCA: 4.9 ± 0.4 h, P = 0.0001; DCA + pyruvate: 4.53 ± 0.3 h, P = 0.5455; DCA + 10 nM FCCP: 4.77 ± 0.4 h, P = 0.0927) (Extended Data Fig. 7f). Thus, the segmentation clock period depends on NAD+ availability rather than on ATP supply. A similar mechanism may underlie the extended segmentation clock period when supplementing with succinate. Succinate supplementation increased ΔΨm (2.044 ± 0.11 versus 2.465 ± 0.19, P = 0.0341) (Extended Data Fig. 7g) and reduced the total NAD+/NADH ratio, which could be rescued by pyruvate (control: 9.65 ± 0.25, succinate: 8.26 ± 0.68, P = 0.024; succinate + pyruvate: 8.94 ± 0.44, P = 0.2126) (Extended Data Fig. 7h). Normalization of  the NAD+/NADH ratio by pyruvate supplementation in succinate-treated cells  fully rescued the oscillatory period (control: 4.47 ± 0.5 h, succinate: 4.76 ± 0.5 h, P = 0.017; succinate + pyruvate: 4.58 ± 0.6 h, P = 0.5299) (Extended Data Fig. 7i).

Impaired ETC activity also decreases the NAD+/NADH ratio, because NAD+ regeneration by complex I is altered. In cells treated with complex I, III and IV inhibitors, we observed a significant decrease in the NAD+/NADH ratio (control: 11.7 ± 0.7, 20 nM rotenone: 10.5 ± 0.4, P = 0.0240; 100 nM antimycin A: 9.4 ± 0.5, P = 0.0001; 1 mM sodium azide: 8.9 ± 0.5, P < 0.0001) (Fig. 3c) with increased Peredox fluorescence (Peredox/mCherry ratio—control: 0.947 ± 0.05, 20 nM rotenone: 1.18 ± 0.02, 100 nM antimycin A: 1.22 ± 0.01, 1 mM sodium azide: 1.35 ± 0.02, P < 0.0001 in all cases) (Extended Data Fig. 7j). Pyruvate supplementation of azide-treated cells partially restored the NAD+/NADH ratio28 (total NAD+/NADH: 8.9 ± 0.5 versus 9.8 ± 0.3, P = 0.0268; Peredox/mCherry: 1.35 ± 0.02 versus 1.20 ± 0.01, P < 0.0001) (Fig. 3c and Extended Data Fig. 7j) and the clock period (6.3 ± 0.6 h versus 5.2 ± 0.5 h, P < 0.0001) (Fig. 3d, Extended Data Fig. 7k and Supplementary Video 5). We also supplemented azide-treated cells with duroquinone, which can mediate NAD+ regeneration via the quinone oxidase NQO129. Duroquinone treatment led to modest recovery of the cytoplasmic NAD+/NADH ratio as measured by Peredox fluorescence (Peredox/mCherry ratio—1.35 ± 0.02 versus 1.27 ± 0.01, P < 0.0001) (Extended Data Fig. 7j), but the total NAD+/NADH ratio did not increase (6.63 ± 0.2 versus 6.60 ± 0.5, P = 0.999) (Extended Data Fig. 7l). Nevertheless, clock oscillations were slightly but significantly accelerated in azide and duroquinone-treated cells relative to cells treated with azide alone (clock period 6.35 ± 0.6 h versus 5.96 ± 0.6 h, P = 0.0037) (Fig. 3d and Extended Data Fig. 7m). This is consistent with ETC inhibition slowing the segmentation clock by impairing NAD(H) redox homeostasis.

Our results suggested that differences in the NAD(H) redox balance may underlie the developmental rate differences between mouse and human cells. NAD+ is used as an electron acceptor in many metabolic reactions and is required for key steps in nucleotide synthesis and in central carbon, amino acid and lipid metabolism30. We compared the NAD+/NADH ratio in mouse with that in human PSM cells and found that, contrary to our expectations, the total NAD+/NADH ratio was significantly lower in mouse (6.81 ± 0.3 versus 9.66 ± 0.4, P < 0.0001) (Extended Data Fig. 4e). However, the marked difference in mitochondrial content between mouse and human PSM cells confounded this whole-cell NAD+/NADH measurement as mitochondria exhibit much lower NAD+/NADH values relative to cytoplasm31,32. Our measurements of total NAD+/NADH ratio therefore most probably reflected the higher mitochondrial density of mouse cells compared with human cells. We therefore measured the extracellular lactate/pyruvate ratio31, a proxy for cytoplasmic NADH/NAD+. This ratio was more than twofold higher in human than mouse PSM cells (25.1 ± 1.8 versus 66.7 ± 17.4, P < 0.0001) (Fig. 2j), suggesting that the cytosolic NAD+/NADH redox balance scales with developmental rate.

We next inhibited LDH in human PSM cells with sodium oxamate to prevent NAD+ regeneration. This led to a decreased NAD+/NADH ratio (total NAD+/NADH: 11.19 ± 1.3 versus 8.12 ± 0.3, P = 0.0002; Peredox/mCherry: 0.6 ± 0.01 versus 0.78 ± 0.01, P < 0.0001) (Extended Data Fig. 8a,b) and concomitant increase in clock period (4.75 ± 0.5 h versus 5.04 ± 0.3 h, P = 0.0404) (Extended Data Fig. 8c–f). Oscillations displayed normal amplitude (Extended Data Fig. 8g) but occasionally arrested early (number of oscillations in 25 h—5.2 ± 0.4 versus 4.6 ± 0.5, P = 0.0406) (Extended Data Fig. 8h). Thus, directly lowering the cytosolic NAD+/NADH ratio could slow down the segmentation clock tempo.

LbNOX28 can be expressed in mammalian cells to drive the regeneration of NAD+ from NADH with concomitant reduction of oxygen to water (Fig. 3e). We used lentiviruses to express either mCherry or cytosolic LbNOX together with mCherry in human PSM cells (Extended Data Fig. 8i). LbNOX modestly increased the total NAD+/NADH ratio (11.20 ± 0.6 versus 12.16 ± 0.9, P = 0.0261) (Fig. 3f). We could not measure Peredox fluorescence ratios owing to the spectral overlap with mCherry. However, we confirmed LbNOX activity by measuring non-mitochondrial oxygen consumption, which was increased owing to oxygen reduction by LbNOX (fraction of basal OCR—0.25 ± 0.04 versus 0.36 ± 0.02, P < 0.0001) (Extended Data Fig. 8j). When we transduced HES7-Achilles reporter cells with LbNOX–mCherry, we observed a clock period decrease by approximately 25 min each cycle (4.76 ± 0.5 h versus 4.36 ± 0.4 h, P < 0.0001) (Fig. 3g, Extended Data Fig. 8k–m and Supplementary Video 6). The oscillation amplitude was not affected (14.3 ± 2.9 AU versus 12.5 ± 3.4 AU, P = 0.1196) (Extended Data Fig. 8n,o), and there was an increase in the mean number of oscillations observed in 25 h (5.6 ± 0.5 versus 6 ± 0, P = 0.0092) (Extended Data Fig. 8p). LbNOX–mCherry also accelerated the induction dynamics of the MSGN1-Venus reporter relative to mCherry alone (rate of growth (k)—mCherry: 0.048 AU, 95% confidence interval 0.04561 to 0.05064 AU versus LbNOX–mCherry: 0.06438 AU, 95% confidence interval 0.06140 to 0.06742 AU, P < 0.0001) (Fig. 3h). Cell cycle length was not different between cells transduced with LbNOX-mCherry or mCherry alone (19.78 ± 2.6 h versus 20.33 ± 2.8 h, P = 0.4906) (Fig. 3i). Thus, modulation of the NAD+/NADH ratio can slow down or accelerate the segmentation clock.

The ETC effect is mediated by translation

Increased mitochondrial activity is correlated with faster transcription, faster translation and accelerated growth in human cell lines33,34,35. We compared translation rates by pulsing PSM cells with puromycin for 1 h. We then measured the amount of puromycilated peptides produced36,37 (Fig. 4a). The mass-specific translation rate was almost twice as high in mouse PSM cells as in human cells (antibody: 28.95 ± 1.3 MFI pg−1 versus 19.15 ± 1.4 MFI pg−1, P = 0.001; click-it: 13.01 ± 1.1 MFI pg−1 versus 7.44 ± 0.3 MFI pg−1, P = 0.011) (Fig. 4b and Extended Data Fig. 9a). Slowing down translation by treating human PSM cells with low doses of cycloheximide (CHX) increased the clock period (control: 4.92 ± 0.3 h, 40 nM CHX: 5.43 ± 0.5 h, P = 0.0001; 80 nM CHX: 5.49 ± 0.3 h, P = 0.0007; 160 nM CHX: 5.58 ± 0.3 h, P < 0.0001) with little effect on oscillation number or amplitude (Fig. 4c, Extended Data Fig. 9b–h and Supplementary Video 7). Cell cycle length was also increased by CHX treatment (20.89 ± 3.1 h versus 25.17 ± 3.6 h, P < 0.0001) (Fig. 4d). Thus, the global translation rate could potentially control developmental rate, although this effect could also be mediated by a subset of specific transcripts whose translation is slowed by CHX.

Fig. 4: The global rate of protein synthesis acts downstream of the ETC to regulate developmental speed.
figure 4

a, Experimental approach to measure global protein synthesis by detection of puromycilated peptides following a 1-h pulse with puromycin. Created with BioRender.com. b, Mass-specific global translation rate as measured by puromycin incorporation in MSGN1-Venus+ PSC-derived mouse and human PSM cells immediately after a 1-h puromycin pulse and detection by directly conjugated AlexaFluor647 anti-puromycin antibody. Data are mean ± s.d. n = 3 biological replicates. Unpaired two-sided t-test. c, Period of HES7-Achilles oscillations in human PSM cells treated with vehicle control (DMSO, n = 27) or increasing doses of CHX (40 nM, n = 24; 80 nM, n = 12; 160 nM, n = 12). Data are mean ± s.d. One-way ANOVA with Dunnett’s correction: control versus 160 nM CHX, P = 7.1 × 10−5. d, Duration of the cell cycle in control (DMSO-treated; n = 42) human PSM cells and cells treated with 100 nM CHX (n = 31). Data are mean ± s.d. Unpaired two-sided t-test, P = 1.1 × 10−6. e, Relative translation rate expressed as puromycin incorporation normalized to control (DMSO treatment) in human PSM cells treated with 20 nM rotenone, 100 nM antimycin A, 1 mM sodium azide or azide with 1 mM sodium pyruvate for 24 h. Data are mean ± s.d. n = 3 biological replicates. One-way ANOVA with Šidák correction. Control versus antimycin, P = 2.8 × 10−5; control versus azide, P = 2.8 × 10−6; control versus azide + pyruvate, P = 9.6 × 10−5. f, Global translation rate as measured by puromycin incorporation in human PSM cells transduced with a lentivirus expressing either mCherry alone or LbNOX with mCherry. Data are mean ± s.d. n = 4 biological replicates. Unpaired two-sided t-test. g, Mass-specific proteasome activity in MSGN1-Venus+ PSC-derived mouse and human PSM cells as measured by cleavage of a luminogenic proteasome substrate. Data are mean ± s.d. n = 4 biological replicates. Unpaired two-sided t-test. h, The period of HES7-Achilles oscillations in human PSM cells treated with DMSO control (n = 35), 2.5 nM (n = 37), 5 nM (n = 17) or 10 nM (n = 14) bortezomib, or 1 μM lactacystin (n = 30). Data are mean ± s.d. One-way ANOVA with Dunnett’s correction.

Source data

We observed that rotenone, antimycin A and sodium azide all decreased the translation rate (control: 100.0 ± 4.2%, 20 nM rotenone: 85.7 ± 8.8%, P = 0.0354; 100 nM antimycin A: 60.8 ± 3.8%, P < 0.0001; 1 mM sodium azide: 49.5 ± 4.8% of control, P < 0.0001) (Fig. 4e). Supplementing azide-treated cultures with pyruvate partially rescued the translation rate (49.5 ± 4.8% versus 65.9 ± 5.0% of control, P = 0.0153) (Fig. 4e). Cultures treated with sodium azide for 1 h displayed reduced translation, indicating rapid downregulation of protein synthesis (39,851 ± 2,298 MFI versus 30,262 ± 5,267 MFI, P = 0.0446) (Extended Data Fig. 9i). These results suggested that ETC inhibition and NAD+ depletion can slow down the segmentation clock in part by reducing protein translation. Transduction with LbNOX-mCherry also significantly increased puromycin incorporation over mCherry (23,601 ± 3,167 MFI versus 30,953 ± 1,646 MFI, P = 0.0062) (Fig. 4f). We performed Seahorse assays in human PSM cells treated with CHX. All aspects of respiration were indistinguishable between CHX-treated and control cells (Extended Data Fig. 9j–l). Thus, mitochondrial activity acts upstream of translation rate to control the segmentation clock period.

Differences in global protein stability also correlate with species-specific developmental rates. Proteome half-life is two times shorter in mouse neural progenitors compared to human2. We found that the half-life of puromycilated peptides was shorter in mouse compared with human PSM cells (2.23 ± 0.63 h versus 4.46 ± 1.47 h, P < 0.0001) (Extended Data Fig. 10a). Mass-specific proteasome activity was significantly higher in mouse PSM cells (2,323 ± 259 RLU pg−1 versus 1,446 ± 34 RLU pg−1, P = 0.0005) (Fig. 4g), suggesting that reduced protein stability is caused by higher proteasome activity.

Inhibiting proteasome function can lead to disruption of segmentation clock oscillations38. Treating human PSM cells with low doses of the proteasome inhibitors bortezomib or lactacystin caused premature arrest of oscillations (number of oscillations in 25 h—control: 5.17 ± 0.39, 2.5 nM bortezomib: 5.50 ± 0.54, P = 0.459; 5 nM bortezomib: 2.69 ± 0.63, P ≤ 0.0001; 10 nM bortezomib: 2.16 ± 0.38, P < 0.0001; 1 μM lactacystin: 4.77 ± 0.44, P = 0.1635) but did not change the oscillatory period (control: 4.98 ± 0.5 h, 2.5 nM bortezomib: 4.8 ± 0.5 h, P = 0.4348; 5 nM bortezomib: 5.00 ± 0.5 h, P = 0.9999; 10 nM bortezomib: 4.62 ± 0.5 h, P = 0.1223; 1 μM lactacystin: 5.10 ± 0.6 h, P = 0.8501) despite significant inhibition of proteasome activity (control: 2,257,774 ± 122,326 RLU, 2.5 nM bortezomib: 1,707,326 ± 63,125 RLU, 5 nM bortezomib: 1,590,243 ± 122,000 RLU, 10 nM bortezomib: 1,309,836 ± 102,240 RLU, 1 μM lactacystin: 1,536,581 ± 195,052 RLU, P < 0.0001 in all cases) (Fig. 4h, Extended Data Fig. 10b–I and Supplementary Video 8). The cell cycle duration could not be assessed under these conditions, as proteasome inhibitors induce cell cycle arrest39.

Neither azide nor antimycin treatment reduced the proteasome activity (control: 2,082,679 ± 23,055 RLU, 100 nM antimycin A: 2,452,103 ± 30,891 RLU, 1 mM sodium azide: 2,778,603 ± 37,391 RLU, P < 0.0001 in both cases) or increased the stability of puromycilated peptides (Extended Data Fig. 10j,k). To assess the degradation profile of the full-length proteome, we performed pulse-chase experiments with the methionine analogue l-azidohomoalanine (AHA). Unlike puromycin, AHA incorporation into growing peptides does not induce chain termination and thus labels full-length proteins. AHA labelling resulted in indistinguishable decay profiles between control and azide-treated cells over the timeframe relevant to segmentation clock oscillations (Extended Data Fig. 10l). Together, these experiments suggest that the segmentation clock period is more sensitive to inhibition of protein production than to degradation.

Discussion

In summary, we found that mass-specific respiration rates scale with and regulate the segmentation clock period by modulating NAD(H) redox balance and, further downstream, translation rate. Given that the segmentation clock period can be used as a proxy for developmental rate1, our results may explain—at least in part—the temporal differences observed at early stages of mouse and human development. Such a mechanism may also be modulated locally in the embryo to generate heterochronic changes, as seen for instance in the acceleration of the segmentation clock period relative to growth rate in snakes40. Additional studies in other embryonic cell types and mammalian species are required to assess the generality of our findings. Our results also suggest that mass-specific metabolic rates for embryonic cell types may scale with adult body mass as predicted by Kleiber’s law, even under uniform culture conditions23. Our studies also reveal a striking parallel between the metabolic requirements of cancer cell proliferation and those of the segmentation clock41. In both cases, NAD+ redox homeostasis is more important than ATP availability for maintaining normal growth and oscillation rates26. Given that PSM cells exhibit Warburg-like metabolism with high levels of aerobic glycolysis21, these similarities further strengthen the notion that cancer cells resemble embryonic progenitors.

Moreover, the finding that the segmentation clock period is sensitive to NAD+ levels draws a parallel between developmental rate and aging. NAD+ levels decrease progressively with age and restoring NAD+ levels can ameliorate aging-associated phenotypes42. The aging process and developmental rate may share some regulatory mechanisms, especially given that lifespan and gestation period are positively correlated43. Future work should focus on the identification of factors that can modulate mass-specific respiration rates in vertebrates23. Ultimately, interspecific differences in developmental rate must be traceable to genetic causes. Finally, the implication of translation rate downstream of mitochondrial activity strongly suggests that the integrated stress response may have a role in determining the developmental rate44,45. Continued research in this area will reveal how developmental time can be manipulated externally, with important applications in human stem cell therapy and in vitro disease modelling.

Methods

Pluripotent stem cell culture

E14 and its derivative reporter lines pMsgn1-Venus46 and Hes7-Achilles11 mouse embryonic stem (ES) cells were maintained under feeder-free conditions on gelatin-coated dishes (StemCell Technologies cat. no. 07903) with 2i medium composed of high glucose DMEM (Gibco cat. no. 11965-118) supplemented with 1% GlutaMAX (Gibco cat. no. 35050061), 1% Non-Essential Amino Acids (Gibco cat. no. 11140-050), 1% sodium pyruvate (Gibco cat. no. 11360-070), 0.01% Bovine Serum Albumin (Gibco cat. no. 15260-037), 0.1% β-mercaptoethanol (Gibco cat. no. 21985-023), 15% Fetal Bovine Serum (EMD Millipore cat. no. ES009B), 1,000 U ml−1 LIF (EMD Millipore cat. no. ESG1106), 3 μM CHIR 99021 (Tocris cat. no. 4423) and 1 μM PD0325901 (Stemgent cat. no. 04-006). Mouse ES cells were passaged by TrypLE Express (Gibco cat. no. 12605010) dissociation every 2 days at a density of 1× 104 cells per cm2.

Human stem cell work was approved by Partners Human Research Committee (protocol no. 2017P000438/PHS). We complied with all relevant ethical regulations. Written informed consent from the donor of the NCRM1 iPS cells was obtained by Rutgers University at the time of sample collection. NCRM1 iPS cells (RUCDR, Rutgers University) and lines carrying the MSGN1-Venus47, HES7-Achilles11, HES7-Achilles; pCAG-H2B-mCherry11 reporters and the AAVS1-CAG-Peredox-mCherry-NLS sensor were maintained on Matrigel-coated plates (Corning, cat. no. 35277) in mTeSR1 medium (StemCell Technologies cat. no. 05851) as previously described48. Human iPS cells were passaged every 4–5 days by Accutase (Corning cat. no. 25058CI) dissociation and seeded at a density of 5 × 104 cells per cm2 in mTeSR1 supplemented with 10 μM Y-27362 dihydrochloride (Rocki; Tocris Bioscience, cat. no. 1254).

Generation of NLS-BFP; Hes7-Achilles mouse ES cell line

To track individual mouse pPSM cells in homo- or hetero-specific co-culture conditions, we integrated a constitutive nuclear label into the Hes7-Achilles mouse ES cell line using the Tol2 system. We used Lipofectamine 3000 (Invitrogen cat. no. L3000001) to co-transfect the following plasmids into Hes7-Achilles mouse ES cells: (1) pCAGGS-Tol2-NLS-BFP-Tol2, (2) pCAGGS-transposase, (3) pMAX-GFP. We isolated GFP+ cells by FACS and plated them at low density on 35-mm gelatin-coated dishes in 2i medium. Note the GFP transfection was transient and only used for selection of successfully transfected cells. After clonal expansion, we visually inspected colonies, manually picked those expressing NLS-BFP and seeded them into individual wells of a 96-well plate. A set of five different clones were verified to stably transmit the CAG-NLS-BFP transgene and used for subsequent experiments.

PSM differentiation

Mouse ES cells were pre-differentiated to an epiblast-like state as previously described11 by seeding fibronectin-coated dishes (BD Biosciences cat. no. 356008) at a density of 0.8 × 104 cells per cm2 in NDiff227 medium (Takara cat. no. Y40002) supplemented with 1% KSR (Gibco cat. no. 10828028), 25 ng ml−1 Activin A (R&D systems cat. no. 338-AC-050) and 12 ng ml−1 bFGF (PeproTech cat. no. 450-33). The medium was refreshed after 24 h. Human iPS cells were seeded on Matrigel-coated plates at a density of 3 × 104 cells per cm2 in mTeSR1 with 10 μM Rocki. After 24 h, the medium was replaced by mTeSR1 without Rocki.

PSM differentiation was initiated 48 h after initial seeding for both mouse and human PSCs. Cultures were switched to DMEM/F12 GlutaMAX (Gibco cat. no. 10565042) supplemented with 1% Insulin-Transferrin-Selenium (ITS; Gibco cat. no. 41400045), 5% Fetal Bovine Serum (EMD Millipore cat. no. ES009B), 6 μM Chir 99021 (Tocris cat. no. 4423), 20 ng ml−1 mouse bFGF (PeproTech cat. no. 450-33) and 30 ng ml−1 Activin A (R&D systems cat. no. 338-AC-050). After 24 h, the medium was replaced by DMEM/F12 GlutaMAX with 1% ITS, 5% FBS, 6 μM Chir 99021, 20 ng ml−1 bFGF and 0.5 μM LDN193189 (Stemgent cat. no. 04-0074). If PSM cultures needed to be maintained for longer than 2 days, the medium was refreshed at 48 h with DMEM/F12 GlutaMAX, 1% ITS, 5% FBS, 6 μM Chir 99021, 0.5 μM LDN193189, 50 ng ml−1 mouse FGF4 (R&D Systems cat. no. 5846-F4-025), 1 μg ml−1 Heparin (Sigma Aldrich cat. no. H3393-100KU), 2.5 μM BMS493 (Sigma Aldrich cat. no. B6688-5MG) and 10 μM Rocki to maintain the posterior PSM fate.

For live-imaging experiments, cells were seeded on 24-well glass-bottom plates (In Vitro Scientific cat. no. P24-1.5H-N) on day 0 and cultured in DMEM/F12 without phenol red (Gibco cat. no. 31053028). Whenever the effects of chemical inhibitors or culture conditions on the segmentation clock were tested, human HES7-Achilles or HES7-Achilles; AAVS1-CAG-H2B-mCherry cells were differentiated under serum-free conditions as previously described11 to avoid confounding factors from FBS composition.

Neural progenitor differentiation

Neural progenitor induction relied on dual Smad inhibition and was adapted from previously described protocols49. Mouse ES cells were seeded on fibronectin-coated dishes at a density of 1 × 104 cells per cm2 and pre-differentiated to epiblast state as described above. Human iPS cells were seeded on Matrigel-coated plates at a density of 3.5 × 104 cells per cm2 in mTeSR1 with 10 μM Rocki. At 24 h, the medium was replaced by mTeSR1 without Rocki. Two days after initial seeding, both mouse and human cells were switched to NDiff227 supplemented with 1% FBS,0.1 μM LDN193189, and 10 μM SB431542 (Selleck Chemicals cat. no. S1067). The media was refreshed daily. Mouse cells were cultured for 5 days and human cells for 7 days. Neural progenitor fate was confirmed by PAX6 immunofluorescence as described below.

Immunofluorescence

For immunostaining of 2D cultures, cells were grown on Matrigel-coated 24-well glass-bottom plates (In Vitro Scientific cat. no. P24-1.5H-N). Cells were rinsed in PBS and fixed in a 4% paraformaldehyde solution (Electron Microscopy Sciences cat. no. 15710) for 20 min at room temperature, then washed 3 times with phosphate buffered saline (PBS). Samples were permeabilized by washing three times for three minutes each in Tris buffered saline (TBS) with 0.1% Tween (TBST) and blocked for one hour at room temperature in TBS-0.1% Triton-3% FBS. The primary antibody (Rabbit anti-PAX6, Biolegend cat. no. 901301, lotB277104; rabbit anti-pHistone H3 (Ser10), Santa Cruz cat. no. sc-8656, lot D1615; or rabbit anti-Flag, Cell Signaling Technologies cat. no. 14793S, lot 7) was diluted in blocking solution at 1:350 and incubated overnight at 4 °C with gentle rocking. Following three TBST washes and a 10-min block, cells were incubated with a goat anti-rabbit Alexa Fluor 488-conjugated secondary antibody (Thermo Fisher cat. no. A11034) or goat anti-rabbit Alexa Fluor 594-conjugated secondary antibody (Thermo Fisher cat. no. A-11037) (1:500) and Hoechst33342 (1:1,000) overnight at 4 °C with gentle rocking. Three final TBST washes and a PBS rinse were performed, and cells were mounted in Fluoromount G (Southern Biotech cat. no. 0100-01). Images were acquired using a Zeiss LSM 780 point-scanning confocal microscope with a 20× objective.

PAX6 intracellular staining

Samples were washed in PBS and dissociated with TrypLE. One million cells per sample were fixed with 4% formaldehyde and then permeabilized with 0.3% Triton, 0.5% BSA in PBS. Cells were washed once in 0.5% BSA. PAX6 primary antibody (Rabbit α PAX6 Biolegend cat. no. 901301, lotB277104) was diluted 1:100 in 0.5% BSA and samples were incubated for 1 h. Following a wash in PBS, goat anti-rabbit Alexa Fluor 488-conjugated secondary antibody (Thermo Fisher cat. no. A11034) (1:500) was applied for 30 min. Samples were then washed and analysed by flow cytometry.

Generation, validation and imaging of AAVS1-CAG-Peredox-mCherry-NLS

CAG-Peredox-mCherry-NLS was inserted into the AAVS1 safe harbour locus using the approach previously described by Oceguera-Yanez and colleagues50. For plasmid and cloning design, we used the following software: NEBuilder Assembly Tool (https://nebuilderv1.neb.com/), Geneious 9.1.5, In-Fusion cloning tools (https://www.takarabio.com/learning-centers/cloning/in-fusion-cloning-tools), and ApE v2.0.49.10. In brief, we cloned the CAG-Peredox-mCherry-NLS sequence from pcDNA3.1-Peredox-mCherry-NLS (Addgene cat. no. 32384) into the pAAVS1-P-CAG-DEST vector (Addgene cat. no. 80490) by Gibson assembly and co-transfected it along with the pXAT2 vector (Addgene cat. no. 80494) into NCRM1 cells. Two days after transfection, we selected positive clones by supplementing mTeSR1 with puromycin (0.5 μg ml−1, Sigma Aldrich cat. no. P7255) for a total of 10 days. To enhance single-cell survival, we added CloneR (StemCell Technologies cat. no. 05888) to the medium during the first 2 days of selection. We obtained several positive clones and confirmed the homozygous insertion of the sensor by PCR as previously described50.

To validate that the Peredox NADH/NAD+ sensor worked as expected in the newly generated AAVS1- CAG-Peredox-mCherry-NLS line, we first performed fluorescence lifetime imaging under different conditions (Extended Data Fig. 4f). We differentiated the sensor line to PSM fate under serum-free conditions on glass coverslips. Cells on coverslips were submerged in a recording chamber filled with a balanced salt solution (140 mM NaCl, 2.5 mM KCl, 10 mM HEPES, 1 mM MgCl2, 2 mM CaCl2, and pH 7.4) at ~34 °C, using a perfusion rate of 5 ml min−1. Cells were sequentially perfused with the following solutions: 2 mM glucose, 0.2 mM, 0 mM glucose, 0 mM glucose with 10 mM lactate, 0 mM glucose with 10 mM pyruvate, and finally 0 mM glucose with a mixture of lactate to pyruvate at a ratio of 30:1. Cells were visualized with a Thorlabs Bergamo II microscope (Thorlabs Imaging Systems), with hybrid photodetectors R11322U-40 (Hamamatsu Photonics). The objective lens used for cell visualization was an Olympus LUMPLFLN 60x/W (NA 1.0). Biosensor fluorescence was excited using light with a wavelength of 790 nm, delivered by a Chameleon Vision-S tunable Ti-Sapphire mode-locked laser (80 MHz,~75 fs; Coherent). Fluorescence emission light was split with an FF562-Di03 dichroic mirror and bandpass filtered for green (FF01-525/50) and red (FF01-641/75) channels (all filter optics from Semrock). Peredox emission was recorded in the green channel. The photodetector signals and laser sync signals were preamplified and then digitized at 1.25 gigasamples per second using a field programmable gate array board (PC720 with FMC125 and FMC122 modules, 4DSP). Microscope control and image acquisition, as well as laboratory-built firmware and software for fluorescence lifetime determination, can be found elsewhere51.

To further confirm that similar results could be obtained by ratiometric measurements, we imaged AAVS1- CAG-Peredox-mCherry-NLS cells with an LSM880 confocal microscope using a 20×/0.8 objective (Extended Data Fig. 4g) PSM cells were cultured in a balanced salt solution supplemented with 2 mM, 0.2 mM or 0 mM glucose, 10 mM lactate, 10 mM pyruvate or a mixture of lactate to pyruvate at a ratio of 30:1 as described above. Images were thresholded based on mCherry-NLS fluorescence and nuclei were automatically segmented in Fiji52. A ratio of the mean Peredox: mCherry fluorescence intensity was calculated for each cell. All cells within an image were averaged to obtain the mean ratio for each sample. This ratiometric imaging approach was used in all experiments.

Mouse and human PSM co-culture

Mouse E14 (no reporter), mouse NLS-BFP; Hes7-Achilles, human NCRM1 (no reporter), and human H2B-mCherry; HES7-Achilles PSCs were differentiated to PSM fate separately as described above. On day 2 of differentiation, PSM cells were dissociated with TrypLE. Mixed cell suspensions consisting of either mouse or human reporter cells combined with either human NCRM1 or mouse E14 cells at a ratio of 1:100 were prepared. This ratio allowed individual cells of the minority species to be completely surrounded by cells of the majority species and prevented the formation of cell clusters corresponding to the minority species. Cells were then reseeded on fibronectin-coated 24-well glass-bottom plates at a density of 2.5 × 106 cells per cm2 when human cells were in excess or 4 × 106 cells per cm2 when mouse cells were in excess. These densities allowed the cultures to be fully confluent upon attachment. Cells were then allowed to attach for one hour and subjected to time-lapse imaging. Human H2B-mCherry+ cells were automatically segmented and tracked as previously described11 to obtain single-cell HES7-Achilles fluorescence intensity profiles. Mouse NLS-BFP+ cells were manually tracked.

Primary mouse PSM explant culture

Explant culture was performed as described by Hubaud and colleagues15. LuVeLu53 CD1 E9.5 mice (both male and female) were sacrificed according to local regulations in agreement with national and international guidelines. We complied with all relevant ethical regulations. Study protocol was approved by Brigham and Women’s Hospital IACUC/CCM (Protocol number N000478). Sample size was not estimated, nor were randomization or blinding performed. Tailbud was dissected with a tungsten needle and ectoderm was removed using Accutase. Explants were then cultured on fibronectin-coated plate (LabTek chamber). The medium consisted of DMEM, 4.5 g l−1 glucose, 2 mM l-glutamine, 1× non-essential amino acids, 100 U ml−1 penicillin, 100 μg ml−1 streptomycin, 15% fetal bovine serum (FBS), 3 μM Chir 99021, 200 nM LDN193189, 2.5 μM BMS493, 50 ng ml−1 mouse FGF4, 1 μg ml−1 heparin, 10 mM HEPES and 10 μM Y-27632. Explants were incubated at 37 °C, 7.5% CO2.

Time-lapse microscopy

Time-lapse imaging of mouse and human PSM cells and of mouse explants was performed on a Zeiss LSM 780 point-scanning confocal inverted microscope fitted with a large temperature incubation chamber and a CO2 module. An Argon laser at 514 nm and 7.5% or 2% power was used to excite Achilles or Venus fluorescent proteins, respectively. A DPSS 561 laser at 561 nm and 2% laser power was used to excite mCherry. In all cases, a 20× Plan Apo (N.A. 0.8) objective was used to acquire images with an interval of 18 or 25 min in the case of human samples and 11 or 12 min for mouse samples, for a total of 16–48 h. A 3 × 3 tile of 800 × 800 pixels per tile with a single z-slice of 18 μm thickness and 16-bit resolution was acquired per position. Multiple positions, with at least two positions per sample, were imaged simultaneously using a motorized stage. For mouse explants, a single section (~19.6 μm thick) with tiling (3 × 3) of a 512 × 512 pixels field was acquired every 7.5 min at 8-bit resolution.

Oscillation analysis

We used HES7 knock-in fluorescent reporters to assess segmentation clock oscillations. Although dozens of genes display cyclic gene expression as part of the segmentation clock network12,54,55, HES7 was chosen because it is considered the core oscillator for the mammalian segmentation clock. Hairy and enhancer of split (Her/Hes) genes represent the only gene family that is known to oscillate in all vertebrates55. Moreover, we and others had previously established pluripotent stem cell-based in vitro clock models based on HES7 reporters11,12,13,14 Time-lapse movies of HES7-Achilles were first stitched and separated into subsets by position in the Zen program (Zeiss). Then, background subtraction and Gaussian blur filtering were performed in Fiji52 to enhance image quality. A small region of interest was drawn and the mean fluorescence intensity over time was calculated. For co-culture experiments, we instead tracked individual cells as described in ‘Mouse and human PSM co-culture’. Intensity is presented in arbitrary units. For Fig. 1e, intensity profiles were smoothened in GraphPad Prism using six neighbouring data points and a second order polynomial. Profiles were then normalized between zero and one.

For each raw intensity profile, we manually identified peaks and calculated the time interval between each pair of consecutive peaks. All peaks in a given profile were measured. We did not distinguish peaks based on their order in the oscillation profile. The oscillatory period was defined as the average time between two peaks in HES7-Achilles profiles. This value is shown in figures as the segmentation clock period. Note that HES7-Achilles oscillatory profiles in figures are shown as the mean ± s.e.m. for a set of individual profiles originating from the same experimental batch.

To measure how the oscillation parameters changed over time, we performed Hilbert analysis56,57 in MATLAB. Oscillation profiles for a given condition were saved as CSV files where the first column represents timepoints (hours) and each subsequent column represents an individual profile. To smoothen the oscillation profiles, we applied the Savitzky-Golay filtering function with a polynomial order of 3 and a frame length of 11. At this point, we manually identified peaks and counted the number of peaks between 0 and 25 h. Peaks were identified by visual inspection based on width and height (that is, no narrower than 8 data points, not shallower than 50 AU). We then subtracted the moving mean with a time window of 10 timepoints. This normalized the data to oscillate about zero. An example of signal processing and peak calling can be found in Supplementary Fig. 1. Next, we applied the Hilbert transformation to the data. The instantaneous amplitude was extracted as the complex magnitude (also called modulus) of the Hilbert transform. Figures showing mean amplitude or relative amplitude simply display the mean over the entire time course. The instantaneous phase was calculated by unwrapping the phase angle of the Hilbert transform. We then obtained the instantaneous frequency by differentiating the phase. We converted frequency to period and plotted this over time. As the Hilbert transformation is overly sensitive to drifts and changes in the shape of oscillations, we excluded non-physiological period values (for example, >30 h, <0) resulting from small blips in the profiles. The MATLAB code for this analysis can be found at GitHub: https://github.com/md2981/Hilbert-Segmentation-Clock

Cell cycle length measurements

To generate cultures with sparsely labelled cells, we mixed HES7-Achilles; AAVS1-CAG-H2B-mCherry human iPS cells or pMsgn1-Venus mouse ES cells with their parental line (NCRM1 or E14, respectively) at a ratio of 1:100 during the initial seeding. Cultures were then differentiated normally and subjected to time-lapse imaging. Individual reporter cells were tracked manually on Fiji52 and the time of cell division was recorded. The cell cycle length was defined as the time elapsed between the time a cell first divides and the time one of its daughter cells divides again.

To measure cell cycle length in primary mouse PSM explants, lentiviral infection was used to sparsely label cells with a SV40-mCherry reporter15. The plasmid EβC (Addgene Plasmid #24312) was cut with BamHI and self-ligated to remove the original insert, thus generating a lentiviral transfer vector that expresses only mCherry. Lentivirus was produced in 293T cells, which were transfected using the CaCl2 method with the packaging plasmids psPAX2 (Addgene cat. no. 12260) and pVSVG (gift from the M. Wernig laboratory). Supernatant was collected, filtered using a 0.45 μM filter and concentrated by centrifugation of 4 volumes of supernatant on 1 volume of TNE buffer (50 mM Tris pH 7.2, 100 mM NaCl, 0.5 mM EDTA, 15% sucrose) at 7,197 rcf for 4 h at 4 °C. Explants were infected for ~4 h and further incubated overnight before imaging. SV40-mCherry+ cells were manually tracked, and the cell cycle length was calculated as described above.

Flow cytometry and cell sorting

To determine the fraction of PSM cells expressing MSGN1-Venus, cultures were dissociated with Accutase and analysed by flow cytometry using an S3 cell sorter (Biorad). Undifferentiated ES cells or iPS cells, which do not express the fluorescent protein, were used as negative control for gating purposes. Samples were analysed in biological triplicates. Results are presented as the percentage of Venus-positive cells among singlets. The same gating strategy was used to sort MSGN1-Venus+ cells for subsequent experiments. The gating strategy is illustrated in Supplementary Fig. 2. All other flow cytometry analyses were performed on a 5-laser Fortessa analyser (BD). Automatic compensation was set up whenever more than one dye or fluorescent protein was used at a time. Flow cytometry data was analysed in FlowJo. The mean fluorescence intensity (MFI) for 10,000 cells is presented. In the case of mouse versus human comparisons, only MSGN1-Venus+ cells were considered in the analysis and MFI was normalized to cell mass.

LbNOX lentiviral overexpression

A plasmid containing the LbNOX sequence was obtained from Addgene (plasmid #75285)28. We cloned the LbNOX coding sequence into the BamHI-digested E[beta]C (Addgene plasmid #24312) transfer plasmid. This plasmid was linearized by MluI digestion and LbNOX was inserted by Gibson assembly. The resulting transfer plasmid therefore expressed LbNOX under the control of the EF-1α promoter and mCherry under the control of the SV40 promoter. We produced lentivirus in Lenti-X 293T cells (Takara cat no. 632180) by co-transfecting the transfer plasmid along with psPAX2 (Addgene cat. no. 12260) and pVSVG (gift from the M. Wernig laboratory). Transfection was performed with the jetPEI reagent (Polyplys cat. no. 101000053). Supernatants were collected at 24, 48 and 72 h. Lentiviruses were concentrated using the Lenti-X Concentrator (Takara cat no. 631232), resuspended in DMEM and stored in single-use aliquots at −80 °C. In parallel, we also produced the control BamHI-digested E[beta]C lentivirus, which only expresses mCherry. We did not determine the viral titre.

To transduce human iPS cells, we combined the lentiviruses with dissociated iPS cells immediately prior to seeding. We used a volume of 5 μl lentivirus concentrated supernatant per 100,000 cells. Cultures were incubated overnight and re-infected when PSM differentiation was initiated. This achieved high efficiency of transduction as judged by mCherry expression. Due to issues with silencing, we did not maintain stable lines but rather transduced cells anew for each experiment. We verified that PSM induction was not affected by lentiviral transduction. We confirmed that LbNOX was expressed by immunofluorescence against the C-terminal flag tag.

Mitochondrial content and ΔΨm measurement

PSM cells were washed in PBS, dissociated in TryplE, washed in DMEM and then incubated for 30 min at 37 °C 5% CO2 in DMEM supplemented with the appropriate dye. For mitochondrial content measurements, we used 25nM Mitotracker Green (Invitrogen cat. no. M7514). For comparison of ΔΨm between mouse and human PSM cells, cells were treated with 1 μg ml−1 JC-1 (Invitrogen cat. no. T3168). For ΔΨm measurements in human PSM cells under different conditions, we used 20 nM TMRM (Invitrogen, T668) in combination with 25 nM Mitotracker Green for normalization. The cells were then washed in PBS, spun down, and resuspended in PBS/1% FBS prior to analysis by flow cytometry. As a control, 1 uM FCCP was used to depolarize the inner mitochondrial membrane.

Seahorse assays

PSM cells were dissociated on day 2 of differentiation and reseeded onto fibronectin-coated Seahorse plates (Agilent cat. no. 101085-004) at a density of 7 × 105 cells per cm2 in Seahorse XF DMEM (Agilent cat. no. 103575-100) supplemented with 10 mM glucose (Agilent cat. no. 103577-100), 1 mM pyruvate (Agilent cat. no. 103578-100) and 2 mM glutamine (Agilent cat. no. 103579-100). For mouse versus human comparisons, MSGN1-Venus+ cells were pre-sorted. Cells were allowed to attach at room temperature for 20 min and then transferred to a 37 °C incubator without CO2 for 1 h. The Seahorse cartridge was hydrated and calibrated as per the manufacturer instructions. For the Mitochondrial Stress Test (Agilent cat. no. 103015-100), we used oligomycin at 1 μM, FCCP at 1 μM, rotenone at 0.5 μM and antimycin A at 0.5 μM. No-glucose controls were used to calculate the CO2 contribution factor for glycolytic proton efflux rate determination. To quantify glycolytic versus mitochondrial ATP production, we used the ATP Rate Assay kit (Agilent cat. no. 103592-100). All samples were run in six to ten replicates in either a Seahorse XF96 or XFe24 Analyzer and the data were analysed in Wave and Microsoft Excel using macros provided by the manufacturer.

For the isolation of mitochondria from mouse and human PSM cells, we followed the protocol described by Bharadwaj and colleagues with some modifications58. To obtain sufficient starting material, mouse and human PSM cells from four confluent 10 cm dishes for each species were dissociated using TryplE. Following a PBS wash, the cell pellets were resuspended in 250 μl ice-cold Chappel–Perry buffer I (see58 for formulation) and transferred to 2 ml glass–glass Douncers. All further steps were performed on ice, including centrifugation at steps at 4 °C. Cells were broken apart with 30 douncer strokes. An additional 250 μl Chappel–Perry buffer I were added, followed by 500 μl Chappel–Perry buffer II. Samples were transferred to 1.5 ml microcentrifuge tubes and centrifuged at 900g for 10 min. Supernatants were transferred to new tubes and centrifuged at 10,000g for 10 min. Mitochondrial pellets were resuspended in 500 μl Chappel–Perry buffer II, then centrifuged again at 10,000g for 10 min and resuspended in 500 μl Chappel–Perry buffer I. Aliquots were taken for BCA protein quantification at this time. Samples were centrifuged one last time at 10,000g for 10 min and resuspended in 50 μl mitochondrial assay solution (see ref. 58 for formulation). Mitochondria were diluted to the desired concentration in mitochondrial assay solution supplemented with 10 mM pyruvic acid and 2 mM malic acid. A total amount of 10 μg mitochondria in a volume of 20 μl were seeded per well of an Agilent Seahorse XFe96 plate and attached by centrifugation at 2,000g for 20 min. The volume was then completed to 180 μl per well with mitochondrial assay solution containing pyruvic and malic acids, and the samples were loaded into the Seahorse XFe96 analyser. Mix, wait and measurement intervals were followed as per58. Injections consisted of final concentrations 2 mM ADP (port A), 5 μM oligomycin (port B), 6 μM FCCP (port C), and 1 μM rotenone with 1 μM antimycin A (port D).

Extracellular glucose, lactate and glutamine quantification

Mouse and human MSGN1-Venus+ cells were pre-sorted and seeded onto a fibronectin-coated 96-well plate at a density of 4 × 105 cells per cm2. The media consisted of DMEM (Gibco cat. no. A1443001) containing 2 mM glucose, 1 mM glutamine, 1 mM pyruvate, 0.1 mM non-essential amino acids, 1% ITS, 5% dialysed FBS supplemented (Cytiva cat. no. SH30079.01) with 6 μM Chir 99021, 0.5 μM LDN193189, 50 ng ml−1 mouse FGF4, 1 μg ml−1 heparin, 2.5 μM BMS493 and 10 μM Rocki. Control samples with media only (no cells) were also included. For glucose and lactate detection, 5 μl of media were collected every hour for a total of 6 h, diluted in 195 μl PBS and frozen at −20 °C. The Promega Glucose-Glo (Promega cat. no. J6021) and Lactate-Glo (Promega cat. no. J5021) kits were used according to manufacturer protocols on white 384-well plates. Standard curves of glucose and lactate were used to calculate metabolite concentration in the media. For glutamine detection, media was collected at a single timepoint (12 h) and the Promega Glutamate/Glutamine-Glo kit (Promega cat. no. J8021) was used. Luminescence was measured after the incubation time indicated by the manufacturer using a GloMax Promega plate reader with 1 s integration. Measurements were normalized to cell mass.

Stable isotope tracing

Sample preparation

Mouse and human PSM cells were differentiated as described above in 6 well plates. On day 2 of differentiation, the plates were washed once with PBS and replaced with tracer medium. Tracer medium consisted of 25 mM either unlabelled glucose or [U-13C6]glucose (Cambridge Isotope Laboratories cat. no. CLM-1396-0.5), 4 mM either unlabelled glutamine or [U-13C5]glutamine (Cambridge Isotope Laboratories cat. no. CLM-1822-H-0.1), 1 mM sodium pyruvate, 0.1 mM non-essential amino acids, 100 U ml−1 penicillin, 100 μg ml−1 streptomycin, 1% ITS, 5% dialysed FBS supplemented with 6 μM Chir 99021, 0.5 μM LDN193189, 50 ng ml−1 mouse FGF4, 1 μg ml−1 heparin, 2.5 μM BMS493 and 10 μM Rocki. For time-course experiments, samples were collected at the following timepoints: 0 h, 3 h, 6 h, 9 h, 12 h, 18 h, 24 h, 36 h and 48 h. We could not extend the time course further because PSM cells differentiate to somitic fate past this time window11. For steady-state measurements, cultures were incubated for 24 h prior to metabolite extraction. Experiments were performed three times independently.

Metabolite extraction

Intracellular metabolites were obtained after washing cells with 2 volumes of room temperature HPLC-grade water and floating the dry plates on liquid nitrogen to quench metabolism. Plates were stored at −80 °C until extraction. Metabolites were extracted with 1 ml 80% methanol pre-cooled to −80 °C. Insoluble material was removed by centrifugation at 21,000g for 15 min at 4 °C. The supernatant was evaporated to dryness at 42 °C using a SpeedVac concentrator (Thermo Savant). Samples were resuspended in 35 μl LC–MS-grade water prior to analysis.

Acquisition parameters

LC–MS analysis was performed on a Vanquish ultra-high-performance liquid chromatography system coupled to a Q Exactive orbitrap mass spectrometer by a HESI-II electrospray ionization probe (Thermo). External mass calibration was performed weekly. Metabolite samples (2.5 μl) were separated using a ZIC-pHILIC stationary phase (2.1 × 150 mm, 5 μm) (Merck). The autosampler temperature was 4 °C and the column compartment was maintained at 25 °C. Mobile phase A was 20 mM ammonium carbonate and 0.1% ammonium hydroxide. Mobile phase B was acetonitrile. The flow rate was 0.1 ml min−1. Solvent was introduced to the mass spectrometer via electrospray ionization with the following source parameters: sheath gas 40, auxiliary gas 15, sweep gas 1, spray voltage +3.0 kV for positive mode and −3.1 kV for negative mode, capillary temperature 275 °C, S-lens RF level 40, and probe temperature 350 °C. Data were acquired and peaks integrated using TraceFinder 4.1 (Thermo).

Stable isotope quantification

All metabolites were measured using the following mobile phase gradient: 0 min, 80% B; 5 min, 80% B; 30 min, 20% B; 31 min, 80% B; 42 min, 80% B. The mass spectrometer was operated in selected ion monitoring mode with an m/z window width of 9.0 centred 1.003355-times half the number of carbon atoms in the target metabolite. The resolution was set at 70,000 and AGC target was 1 × 105 ions. Peak areas were corrected for quadrupole bias as previously described59. Raw mass isotopomer distributions were corrected for natural isotope abundance using a custom R package (mzrtools, https://github.com/wmoldham/mzrtools) employing the method of ref. 60.

Cell volume measurements

Cells were dissociated in TrypLE, washed and resuspended in PBS. Volume was measured on a Moxi Go II Coulter-principle cell sizer and flow cytometer. When mouse versus human PSM cells were compared, only MSGN1-Venus+ cells were considered. Data was analysed in FlowJo.

SMR mass and density measurements

Mouse and human PSM cells were dissociated in TrypLE and MSGN1-Venus+ cells were sorted. Cells were then counted and resuspended in DMEM/F12, 1% ITS, 5% FBS with 6 μM Chir 99021, 20 ng ml−1 bFGF and 0.5 μM LDN193189 at a concentration of 3 × 105 cells per ml. The cells were kept on ice and their total mass and density were measured using a SMR according to a previously developed fluid-switching method20. The SMR is a vibrating cantilever with a fluidic channel inside. In the absence of cells, the vibration frequency of the cantilever is proportional to the density of the fluid flowing through the cantilever. As a cell flows through the cantilever, the vibration frequency of the cantilever changes proportionally to the buoyant mass of the cell. Following the measurements of normal media density and the cell’s buoyant mass with this media, the cell is immersed in culture media that has been made denser by the addition of 35% OptiPrep (Sigma Aldrich cat. no. D1556-250ML). The cell then flows back through the cantilever in the high-density media to obtain a second set of buoyant mass and media density measurements. The total mass and density of the cell is calculated by comparing these two sets of measurements according to the equation \({\rm{BM}}=V({\rho }_{{\rm{cell}}}-\,{\rho }_{{\rm{fluid}}})\), where BM is buoyant mass, V is volume, ρcell is density of the cell, and ρfluid is the density of the medium. After each cell is measured, the cell is flushed out of the SMR before fresh media and the next cell is loaded into the SMR. For measurements of cells’ dry mass, dry volume and the density of the dry mass, a similar fluid-switching protocol was followed but, instead of using OptiPrep containing media, the second measurement was carried out in media where 50% of the water content was heavy water (D2O). Cellular water content exchanges rapidly19,20 causing the intracellular water content to be identical and neutrally buoyant to the extracellular water content. Therefore, the measurements in normal and heavy water can be used to calculate the dry mass, dry volume and the density of the dry mass according to the equation \({\rm{BM}}={M}_{{\rm{dry}}}(1-({\rho }_{{\rm{fluid}}}/{\rho }_{{\rm{drymass}}}))\), where BM is buoyant mass, Mdry is dry mass of the cell, ρdrymass is density of the dry mass, and ρfluid is the density of the extracellular fluid19,20. All measurements were carried out at +4 °C. Calibration of the SMR frequency response to a cell was done using NIST traceable 10.12 μm diameter polystyrene beads (Thermo Scientific, Duke Standard beads, cat. no. 4210A), and the calibration of SMR baseline frequency to fluid density was done using NaCl solutions of known density61.

Small molecule inhibitor treatments

Human PSM cells were differentiated using the serum-free protocol11 and treated chronically with the relevant inhibitors or supplements as indicated on Supplementary Table 128,29,33,62,63,64,65,66,67,68,69,70,71,72,73,74 starting on day 2 of differentiation. Time-lapse imaging started approximately 2 h after the inhibitor addition. In the case of aphidicolin, cells were pre-treated for 24 h before imaging. All other assays (Seahorse, proteasome activity, NAD+/NADH, Peredox fluorescence, and so on) were performed after 16–24 h of treatment to observe chronic effects.

Whole-cell NAD+/NADH ratio

Cells were dissociated with TrypLE, washed and resuspended in PBS at a density of 8 × 105 cells per ml. For each sample, 50 μl were distributed in triplicate wells of a 96-well plate. In the case of mouse versus human comparisons, MSGN1-Venus+ cells were pre-sorted. Samples were lysed by adding 50 μl 0.2 N NaOH with 1% dodecyltrimethylammonium bromide to preserve the stability of dinucleotides and incubated for 10 min at room temperature with gentle shaking. Half of each sample was then transferred to an empty well within the same plate and 25 μl 0.4 N HCl were added. Samples were then incubated for 15 min at 65 °C to selectively denature NAD+ in the basic solution and NADH in the acidic solution. Samples were then cooled down to room temperature for 5 min. pH was restored to neutral conditions by adding 25 μl 0.5 M Trizma base to acid-treated samples and 50 μl Trizma/HCl solution (1:1 mixture of 0.5 M Trizma base and 0.4 N HCl) to base-treated samples. 40 μl of each sample were then transferred to a white 96-well plate. The detection reagent mixture was prepared according to the instructions in the Promega NAD/NADH (cat. no. G9071) kit and 40 μl were added per sample. Luminescence was measured after an incubation of 45 min at room temperature using a GloMax Promega plate reader with 1 s integration. The NAD+/NADH ratio was calculated as the luminescence ratio of the acid-treated sample to the base-treated sample.

Extracellular lactate/pyruvate measurements

On day 2 of differentiation, the media was refreshed, and cells were incubated for 10 h. Spent medium was collected and centrifuged at 300g for 5 min to pellet cell debris. The supernatant was transferred to a new tube and flash frozen in liquid nitrogen. Samples were kept at −80 °C until extraction. Media lactate and pyruvate quantitation was performed by using a LC–MS method with stable isotope dilution. Fifteen microlitres of spent medium was extracted with 117 µl acetonitrile and 45 µl labelled lactate (D3-lactate, CDN Isotopes) and pyruvate (13C3-pyruvate, Sigma) diluted in water. The samples were then vortexed and left on ice for 5 min, vortexed again, and then spun at 21,100g for 10 min. One-hundred microlitres of the supernatant was loaded into a glass vial for LC–MS analysis. Ten microlitres of each sample was analysed using a Q Exactive Plus Orbitrap Mass Spectrometer with a DionexUltiMate 3000 UHPLC system (Thermo Fisher Scientific). Metabolites were separated on an Xbridge amide HILIC column (2.1 X100 mm, 2.5 µM particle size, Waters). Mobile phase A was 20 mM ammonium acetate, 0.25% ammonium hydroxide, 5% acetonitrile, pH 9.0. Mobile phase B was 100% acetonitrile. The gradient was: 85%B for 0–0.5 min, decreased to 35% B from 0.5–9 min, decreased to 2% B from 9–11 min, held at 2% B from 11–12 min, increased to 85% B from 12–13.5 min, held at 85% B from 13.5–18 min. The flow rate was 220 µl min−1 from 0–14.6 min and 420 µl min−1 from 15–18 min. The MS data acquisition was polarity-switching full scan mode in a range of 70–1,000 m/z, with resolution 70,000, AGC target of 3 × 106, and maximum injection time of 80 ms. All LC–MS data were collected with samples injected in a randomized order. Absolute quantitation was determined with a standard curve of known concentrations of unlabelled lactate and pyruvate extracted with the same labelled internal standards.

ADP/ATP ratio and ATP content measurements

The BioVision ApoSENSOR ADP/ATP Ratio Bioluminescent Assay Kit (cat. no. K255-200) was used according to manufacturer’s instructions. Cells were dissociated with TrypLE, washed and resuspended in nucleotide releasing buffer at a density of 3 × 105 cells per ml. In the case of mouse versus human comparisons, MSGN1-Venus+ cells were pre-sorted. Background luminescence was measured first, followed by ATP-linked luminescence. To measure ADP, samples were treated with ADP-converting enzyme to generate ATP from ADP. Total (ATP + ADP) luminescence was then recorded. ADP-linked luminescence was calculated by subtracting the ATP-linked luminescence from the total luminescence. A GloMax Promega plate reader with 1 s integration was used.

Puromycin incorporation and pulse-chase experiments

To pulse cells with puromycin, samples were washed in PBS and incubated for 1 h at 37 °C 5% CO2 in DMEM containing 1 μg ml−1 puromycin or 20 μM O-propargyl-puromycin (OPP-Puro). Samples were collected immediately following the incubation period for translation rate measurements. For degradation rate measurements, samples were washed with DMEM and chased for the indicated period of time. Specifically, samples were collected every 3 h for a total of 12 h. After collection, samples were washed again in PBS and dissociated with TrypLE. One million cells per sample were fixed with 4% formaldehyde and then permeabilized with 0.3% Triton in PBS. Puromycin-treated samples were then incubated for 1 h with anti-puromycin Alexa Fluor 647-directly conjugated antibody (1:100; Millipore Sigma cat. no. MABE343). OPP-Puro samples were processed for Click chemistry detection with Alexa Fluor 647 picolyl azide as per the instructions in the Click-iT Plus OPP Protein Synthesis Assay Kit (Invitrogen cat. no. C10458). Samples were then analysed by flow cytometry. In the case of mouse versus human comparisons, only MSGN1-Venus+ cells were considered.

l-Azidohomoalanine pulse-chase experiments

The Click-it l-azidohomoalanine (AHA) Alexa Fluor 488 Protein Synthesis HCS Assay (Invitrogen cat. no. C10289) was used. Cells were washed in PBS and pre-incubated in DMEM lacking methionine (Gibco cat. no. 21013024 supplemented with 2 mM glutamine, 1 mM sodium pyruvate, 1% non-essential amino acids and 0.2 mM cysteine) for 1 h prior to the AHA pulse. The medium was then replaced by methionine-free DMEM containing 50 μM AHA and cells were incubated for one hour. Samples were either processed immediately or after the indicated chase time as per the manufacturer instructions. Samples were then analysed by flow cytometry.

Proteasome activity assays

The Promega Proteasome-Glo Chemotrypsin-like assay (Promega cat. no. G8660) was used following the manufacturer’s protocols. Cells were dissociated with TrypLE, washed several times and resuspended in DMEM at a density of 8 × 105 cells per ml. In the case of mouse versus human comparisons, MSGN1-Venus+ cells were pre-sorted. Luminescence was recorded on a GloMax Promega plate reader with 1 s integration.

Cell viability assay

To document that inhibitor doses are sub-lethal, we assessed cell viability with trypan blue following 24 h of incubation with the relevant inhibitor.

Statistical analyses

Statistical analyses were performed with Prism 9 software (GraphPad). P values < 0.05 were considered significant. Details of statistical analyses are indicated in figure legends. Unpaired t-tests or ordinary one-way ANOVA were performed with Tukey correction for multiple comparisons. All differentiation experiments were performed a minimum of three independent times (rounds of differentiation), each containing at least three technical replicates (wells) per condition.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.