Main

The decision of a cell to enter the cell cycle is an energetically demanding process, requiring the generation of biosynthetic building blocks such as amino acids and nucleic acids to accumulate enough biomass to divide into two daughter cells. To meet these demands, cells initially rely on a relative shift towards glycolysis, rather than oxidative phosphorylation (OXPHOS), to generate bioenergetics and biosynthetic macromolecules1,3,4. Simultaneously, mitogen signalling induces the transcription of genes that are required for proper cell cycle progression and activates proteins to license origins of replication ahead of S phase. Cells must coordinate these diverse requirements in a timely manner to prepare for cell division5 (Fig. 1a). The ubiquitin ligase APC/C associated with CDH1 (hereafter, APC/C) has an important role in coordinating both glycolysis and cell cycle events by targeting key proteins in both pathways for degradation. During quiescence, the APC/C remains active, degrading glycolytic enzymes such as 6-phosphofructo-2-kinase/fructose-2, 6-bisphosphatase 3 (PFKFB3)2,6, to promote a balance between OXPHOS and glycolysis, and also DNA licensing regulators such as cyclin A2 and geminin, creating a permissive environment for formation of the prereplication complex7. During cell cycle re-entry, the APC/C is thought to remain fully active until the G1/S transition, at which time it rapidly inactivates in a switch-like manner8,9, allowing for origin firing while preventing relicensing of newly synthesized DNA. However, this series of events is apparently contradictory. If the APC/C remains active until the G1/S transition, it raises the question of how cells can shift to glycolysis to meet the energy and biosynthetic demands of the cell ahead of S phase. Similarly, if the APC/C is prematurely inactivated on exit from quiescence, it raises the question of how cells can license origins of replication ahead of S phase. This paradoxical signalling architecture calls into question the current model of cell cycle entry and the molecular mechanisms thought to coordinate these essential cellular processes. Thus, studies are needed to understand how cells resolve this paradox and coordinate mutually exclusive events that are both required for cell cycle entry.

Fig. 1: APC/C transiently inactivates during the G0/G1 transition.
Fig. 1: APC/C transiently inactivates during the G0/G1 transition.
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a, Cells need mitogens and glycolysis to enter the cell cycle (1); APC/C inhibits glycolysis (2); and APC/C is reportedly fully active during quiescence and remains active until the G1/S transition (3). b, Test to determine whether glycolysis is required for cell cycle entry. CDK2 activity traces of single MCF-10A cells after mitogen stimulation with or without 2-DG after 48 h starvation-induced quiescence. Green, cells entering the cell cycle; grey, quiescent cells. n = 100 cells per condition. c, Test to determine whether APC/C inhibits glycolysis. The ECAR levels in quiescent cells or 4 h after mitogen treatment in cells expressing empty vector or CDH1 are shown. Data are mean ± s.d. n = 5. Statistical analysis was performed using one-way analysis of variance (ANOVA). d, Test to determine APC/C activity during the G1/S transition. Time-lapse images of a quiescent MCF-10A cell expressing an APC/C biosensor as it re-enters the cell cycle. Transient biosensor accumulation (red) occurs between 1 and 6 h, with sustained accumulation at G1/S. Bottom, higher exposure of the same cell. Exp, exposure. e, Representative trace of APC/C biosensor levels (red) and APC/C activity (black) in a single MCF-10A cell re-entering the cycle after 48 h starvation and mitogen stimulation. f, Single-cell traces of APC/C biosensor levels (left) and APC/C activity (right) of cells entering the cell cycle. Cells were starved for 48 h to induce quiescence, followed by mitogen stimulation at time 0 h to promote cell cycle entry. n = 200 cells for each condition. g, Median APC/C biosensor traces from cells with or without MG132 at the indicated times. MCF-10A cells were starved for 48 h, then stimulated (stim.) with mitogens (mit.). The pre-MG132 slope reflects APC/C inactivation; the post-MG132 slope reflects blocked biosensor degradation. h, APC/C biosensor-accumulation slopes from single cells before and after MG132 treatment from g. i, The percentage APC/C inactivation as measured by the ratio of APC/C biosensor-accumulation slopes before and after MG132 treatment from g and h. j, Updated model of cell cycle entry from a. Full growth medium promotes transient APC/C inactivation during cell cycle entry.

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APC/C transiently inactivates at the G0/G1 transition

The current model of cell cycle entry includes three key components: (1) glycolysis is necessary for cell cycle entry10,11; (2) the APC/C inhibits glycolysis2,6; and (3) the APC/C is active until the end of G1 phase when it is inactivated at the G1/S transition9,12 (Fig. 1a). However, these three statements cannot all be correct simultaneously, and we sought to test each of these model components during cell cycle entry. First, to test whether glycolysis is required for cell cycle entry, we serum-starved non-transformed MCF-10A breast epithelial cells for 48 h to induce quiescence (Extended Data Fig. 1a) and restimulated the cells with full growth medium to stimulate cell cycle entry, as assessed using a live-cell CDK2-activity biosensor13 (Extended Data Fig. 1b). Treatment with the glycolysis inhibitor 2-deoxyglucose (2-DG) prevented CDK2 activation, but treatment with the OXPHOS inhibitor oligomycin had a limited effect10 (Fig. 1b and Extended Data Fig. 1c,d). Furthermore, depleting glucose from the medium or inhibiting GLUT transporters blocked mitogen-induced cell cycle entry in MCF-10A cells (Extended Data Fig. 1e,f). We also found that depleting glucose from the medium or providing galactose as the only carbon source blocked cell cycle entry in MCF-10A cells, hTERT immortalized retinal pigment epithelial (RPE-1) cells and mouse embryonic fibroblasts (MEFs) (Extended Data Fig. 1g–i), confirming that glycolysis is required for cell cycle entry in diverse cell types. Second, to test whether the APC/C inhibits glycolysis, we exogenously expressed the APC/C co-activator protein CDH1 (encoded by FZR1) and measured glycolytic activity. CDH1 expression resulted in a significant reduction in basal extracellular acidification rate (ECAR), a glycolytic indicator (Fig. 1c), consistent with the APC/C inhibiting glycolysis2,6. Third, to test whether the APC/C remains active until the G1/S transition, we measured APC/C activity in single cells during cell cycle entry using an APC/C-activity biosensor8,14 (Extended Data Fig. 2a). Notably, we observed that the APC/C partially and transiently inactivates during the G0/G1 transition (Fig. 1d–f, Extended Data Fig. 2b and Supplementary Video 1), approximately 6–8 h before the G1/S transition, when the APC/C fully inactivates9. We did not observe a similar transient APC/C inactivation in subsequent cell cycles, indicating that it is unique to the first cell cycle after an exit from quiescence (Extended Data Fig. 2c–e). Furthermore, we observed similar transient APC/C inactivation during cell cycle entry from quiescence induced by either MEK inhibition or contact inhibition (Extended Data Fig. 2f,g). We validated transient APC/C inactivation through immunoblotting and immunofluorescence analysis of endogenous APC/C substrates in multiple cell lines, including MCF-10A, RPE-1, primary human lung fibroblasts and MEFs (Extended Data Fig. 2h–l). Thus, we find that the third component of the cell cycle entry model is not supported by our experiments, and that the APC/C is transiently inactivated at the G0/G1 transition, hours before it is fully inactivated at the G1/S transition.

To further characterize this transient APC/C inactivation, we carefully measured the APC/C activity during cell cycle entry after the addition of full growth medium (hereafter, mitogen stimulation) when the geminin-based APC/C-activity biosensor had accumulated above background levels. We also measured the APC/C activity after treatment with the proteasome inhibitor MG132, which represents complete inhibition of the APC/C. We then determined the relative percentage of APC/C inhibition during the G0/G1 transition compared with complete inhibition after MG132 treatment. As the APC/C biosensor is under the control of a constitutive promoter, the slope of the increase in biosensor fluorescence is indicative of the relative APC/C activity in the cells8. We therefore compared the observed synthesis rate of the APC/C biosensor between 1 and 5 h after mitogen stimulation to the synthesis rate of the APC/C biosensor after treatment with MG132 in single cells. We found that the observed accumulation rate of the APC/C biosensor was approximately 33% less than when cells were treated with MG132, indicating that the APC/C is partially inactivated by approximately 33% during the G0/G1 transition (Fig. 1g–i and Extended Data Fig. 2m,n), in contrast to the full, switch-like inactivation at the G1/S transition8. Thus, cells appear to solve the paradoxical requirements for both active APC/C and glycolysis during cell cycle entry by transiently and partially inactivating the APC/C during cell cycle entry at the G0/G1 transition (Fig. 1j). The next question that arises is what causes this transient APC/C inactivation.

mTORC1 inactivates APC/C via phosphorylation

We investigated the mechanism underlying transient APC/C inactivation by first testing the involvement of known negative regulators of the APC/C (Extended Data Fig. 3a). The cullin-based E3 ligases SCFβ-TrCP and SCFcyclin F have been previously reported to degrade CDH1 (refs. 15,16), cyclin A2–CDK2 has been reported to phosphorylate CDH1 and inhibit its binding to the core APC/C scaffold17 and EMI1 has been reported to function as a stoichiometric inhibitor of APC/C by binding to multiple regions of the complex18,19,20,21. Knockdown of these known APC/C regulators using small interfering RNA (siRNA) did not affect the transient APC/C inactivation during cell cycle entry (Extended Data Fig. 3b–g), suggesting that these negative regulators may tune APC/C activity in other phases of the cell cycle but do not have a role in transient APC/C inactivation during cell cycle entry. Given that transient APC/C inactivation is triggered by full growth medium, we hypothesized that growth-promoting kinases could be involved in transient APC/C inactivation during cell cycle entry (Fig. 2a). Inhibition of MEK, CDK1/2 or CDK4/6 did not affect transient APC/C inactivation. However, we found that inhibition of the mTOR signalling pathway using rapamycin, the mTORC1-selective inhibitor RMC6272 or knockdown of RPTOR but not RICTOR resulted in decreased transient APC/C inactivation during cell cycle entry (Fig. 2b,c and Extended Data Fig. 3h–m), indicating that mTORC1 or its downstream signalling targets regulate APC/C activity during cell cycle entry.

Fig. 2: mTORC1 phosphorylates APC/C during cell cycle entry.
Fig. 2: mTORC1 phosphorylates APC/C during cell cycle entry.
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a, Schematic showing how mitogen-activated kinases may transiently inactivate APC/C. b,c, APC/C inactivation during cell cycle entry. b, The fraction of cells. Data are mean ± s.e.m. n = 5, 6, 5 and 3 independent experiments. c, Single-cell biosensor traces. n = 200 cells per condition. MCF-10A cells were starved for 48 h, then stimulated with mitogens with or without kinase inhibitors. P values were calculated using one-way ANOVA; NS, not significant. d, Immunoprecipitation analysis of CDH1 from MCF-10A cells (48 h starvation, 4 h mitogen stimulation) probed for the indicated proteins. Representative blot. n = 3. e, Co-immunoprecipitation of purified His–Sumo–CDH1 with DDK/Flag–mTOR or DDK/Flag–DYRK4 in a cell-free system. Representative blot. n = 3. f, In vitro kinase assay of purified CDH1 with recombinant mTOR complex, probed with a pan-phospho-serine/threonine/tyrosine antibody. Representative blot. n = 3. g, In vitro binding of CDH1 WT, T129A and T129D (200 ng each) to recombinant DDK–mTOR. Left, representative blot. Right, quantification. Data are mean ± s.d. n = 4. P values were calculated using one-way ANOVA. h, In vitro kinase assay of CDH1 mutants with recombinant DDK–mTOR, probed with a pan-phospho-threonine antibody. Representative blot. n = 3. i, Quantification of h. P values were calculated using one-way ANOVA. j, Immunoprecipitation of HA–CDH1 WT or T129A from MCF-10A cells (48 h starvation, 4 h mitogen stimulation), probed for the indicated proteins. Representative blot. n = 3. k, In vitro ubiquitylation reactions using recombinant APC/C, UBE2C and CDH1 WT, CDH1(T129A) or CDH1(T129D), plus recombinant mTOR and mLST8. Ubiquitinated cyclin BNTD was detected by fluorescence scanning. Representative gel. n = 3. l, Quantification of relative cyclin BNTD ubiquitination from k. Data are mean ± s.e.m. n = 3. P values were calculated using one-way ANOVA. m, Quantification of the percentage of the population with transient APC/C inactivation normalized to the control from Extended Data Fig. 5m. Data are mean ± s.d. from n = 4 (bars 1–4) or n = 3 (bar 5) independent experiments. P values were calculated using one-way ANOVA.

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Immunoprecipitation of whole-cell lysates collected from MCF-10A cells entering the cell cycle (4 h after mitogen stimulation) using either a CDH1, an mTOR or an unrelated protein antibody confirmed specific binding of CDH1 to the mTORC1 complex (Fig. 2d and Extended Data Fig. 4a–c). To determine whether CDH1 is a substrate of mTOR, we used recombinant mTOR complex and purified CDH1 (Extended Data Fig. 4d) and assessed their binding in vitro. Pull-down assays showed binding between CDH1 and mTOR (Fig. 2e), and that this interaction leads to the phosphorylation of CDH1 (Fig. 2f and Extended Data Fig. 4e–i), establishing that CDH1 is a bona fide substrate of mTOR. To assess the kinetics of mTOR-mediated CDH1 phosphorylation, we immunoprecipitated CDH1 from MCF-10A whole-cell lysates entering the cell cycle in the presence or absence of the mTOR inhibitor rapamycin. CDH1 phosphorylation was detectable as early as 1 h after mitogen stimulation and increased over time but was reduced in the presence of rapamycin (Extended Data Fig. 4j). Furthermore, in support of our earlier measurements revealing that the APC/C is partially inactivated during cell cycle entry, we found that mTOR-mediated phosphorylation causes a partial dissociation of CDH1 from the APC/C, as determined by its binding to APC2 (Extended Data Fig. 4j).

Phosphoproteomic analysis of CDH1 using mass spectrometry (MS) identified threonine 129 (Thr129) or tyrosine 130 (Tyr130) as a potential site of mTOR-mediated phosphorylation (Extended Data Fig. 5a). Follow-up experiments confirmed that mTOR phosphorylates a threonine residue (Extended Data Fig. 5b,c), probably without affecting tyrosine residues (Extended Data Fig. 5d) of CDH1. Consistent with our live-cell imaging data, we found that phosphorylated CDH1 (p-CDH1) transiently accumulates with the same kinetics as transient APC/C inactivation (Extended Data Fig. 5e,f). In vitro binding analysis of mTOR with CDH1 revealed a significant decrease in binding when the Thr129 residue was mutated to a phospho-mimetic aspartic acid (CDH1(T129D)) compared with the wild type (Fig. 2g and Extended Data Fig. 5g). Furthermore, CDH1(T129A) was less phosphorylated by mTOR both in an in vitro kinase assay (Fig. 2h,i) as well as in vivo (Fig. 2j), indicating that mTOR primarily phosphorylates CDH1 during cell cycle entry.

We assessed the effect of mTOR-mediated phosphorylation of CDH1 and observed that CDH1(T129D) bound less effectively to the core APC/C (Extended Data Fig. 5h,i). Next, to assess the effect of CDH1 Thr129 phosphorylation on APC/C activity, we reconstituted substrate polyubiquitination by APC/C using a recombinant system. We performed APC/C–UBE2C-dependent ubiquitination assays in the presence of wild-type CDH1, CDH1(T129A) or CDH1(T129D). We observed that CDH1(T129D) is less effective in promoting ubiquitination of substrates compared with either wild-type CDH1 or CDH1(T129A) (Fig. 2k,l and Extended Data Fig. 5j,k). Furthermore, adding active mTOR to the reaction reduced the effectiveness of wild-type CDH1 in promoting substrate ubiquitination to similar levels to the CDH1(T129D) mutant, but it did not affect the CDH1(T129A) mutant, indicating that mTOR-mediated modification leads to partial APC/C inactivation (Fig. 2k,l). Notably, phosphorylation of the unstructured N-terminal region of CDH1 by other kinases was previously shown to disrupt the binding of CDH1 to the APC/C and therefore inhibit APC/C activity in a similar manner22 (Extended Data Fig. 5l). Specifically, it was shown22 that four of the CDK2 target sites, Ser40, Thr121, Ser151 and Ser163, are necessary and sufficient to mediate complete CDH1 inactivation, but that each residue contributes to a degree of partial APC/C inactivation. Thus, our data are consistent with these previous findings and support a model in which mTOR phosphorylation of CDH1 disrupts the CDH1–APC/C interaction through electrostatic repulsion and steric clashes, leading to the partial inactivation of APC/C.

To determine the effect of mTOR-mediated CDH1 phosphorylation on APC/C activity during cell cycle entry, we introduced exogenous CDH1(T129A) and CDH1(T129D) mutants into MCF-10A cells that were entering the cell cycle and then measured transient APC/C inactivation. Expression of the T129A mutant reduced transient APC/C inactivation to similar levels as rapamycin treatment, acting in a dominant-negative manner (Fig. 2m and Extended Data Fig. 5m). Conversely, expression of the phosphomimetic T129D mutant did not affect transient APC/C inactivation compared with the empty vector control when exogenously expressed in the presence of wild-type CDH1 (Fig. 2m, Extended Data Fig. 5m and Supplementary Video 2). Furthermore, expression of CDH1(T129D) resulted in sustained APC/C-degron accumulation when exogenously expressed while also knocking down endogenous CDH1 using an siRNA targeting the 3′-UTR of CDH1 (Extended Data Fig. 5n,o). Taken together, these data support a model in which, after mitogen stimulation, mTOR phosphorylates CDH1, causing it to partially dissociate from the core APC/C, resulting in partial APC/C inactivation during cell cycle entry.

APC/C regulation by an incoherent feedforward loop

Having established that mTOR-mediated phosphorylation of CDH1 is responsible for transient APC/C inactivation, we next sought to understand how and why the APC/C gets reactivated to generate the transient APC/C inactivation that we observed in our live-cell imaging experiments. We considered two main hypotheses: either mTOR itself is activated transiently or a protein phosphatase removes the mTOR-mediated phosphorylation from CDH1 (Fig. 3a). We tested the first hypothesis by immunoblotting for p-mTOR and its direct substrate p-4EBP1. We assessed the ratio of p-mTOR to mTOR to quantify the mTOR activity and found a slight increase in the p-mTOR/mTOR ratio between 3 and 7 h after mitogen stimulation when APC/C transiently reactivates (3–5 h after mitogen stimulation) (Extended Data Fig. 6a,b), suggesting that regulation of mTOR could in part underlie the regulation of transient APC/C inactivation. We next tested the second hypothesis by treating MCF-10A cells with a pan-protein-phosphatase inhibitor during cell cycle entry23,24,25. Inhibition of protein phosphatases resulted in an initial APC/C inactivation, as indicated by accumulation of the APC/C biosensor. However, this accumulation was sustained, indicating that the APC/C did not reactivate (Fig. 3b, Extended Data Fig. 6c and Supplementary Video 3). Notably, sustained accumulation of the APC/C biosensor after treatment with protein phosphatase inhibitors could be rescued by expressing CDH1(T129A), which is insensitive to both phosphorylation and dephosphorylation (Extended Data Fig. 6d). Consistent with these live-cell imaging observations, we found that inhibiting protein phosphatases leads to sustained CDH1 phosphorylation, sustained dissociation of CDH1 with the core APC/C components APC2 and APC6 (Fig. 3c), and reduced polyubiquitination of the APC/C biosensor (Fig. 3d). These data support the second hypothesis that protein-phosphatase-mediated dephosphorylation is required for APC/C reactivation during cell cycle entry.

Fig. 3: An incoherent feedforward loop controls APC/C activity during cell cycle entry.
Fig. 3: An incoherent feedforward loop controls APC/C activity during cell cycle entry.
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a, Schematic of the hypothesis for APC/C reactivation. b, MCF-10A cells were starved for 48 h, then stimulated with mitogens with or without sodium fluoride (NaF) and sodium orthovanadate (Na3VO4) phosphatase inhibitor (PPase inh.). Single-cell APC/C biosensor traces are shown. Left, quantification of cells with transient or sustained APC/C inactivation. c, MCF-10A cells were starved for 48 h, then stimulated with mitogens with or without phosphatase inhibitor for the indicated times. Lysates were immunoprecipitated with CDH1 antibodies and probed for the indicated proteins. Representative blot from n = 3 experiments. d, MCF-10A cells were starved for 48 h, then stimulated with mitogens with or without phosphatase inhibitor for 5 h. MG132 (10 µM) was added at 2 h. At 5 h, lysates were immunoprecipitated with mCherry antibodies and probed for the indicated proteins. Representative blot from n = 3 experiments. e, Top, schematic of the experimental timeline. MCF-10A cells were starved for 48 h and released with or without rapamycin at the indicated times. Bottom, quantification of cells with transient APC/C inactivation. Data are mean ± s.d. from n = 5, 5, 5, 5 and 4 experiments. Statistical analysis was performed using Kruskal–Wallis tests. f, MCF-10A cells were starved for 48 h, then stimulated with mitogens with or without phosphatase inhibitor. Median APC/C biosensor traces are shown. The dashed line marks the divergence between the mitogen (red) and mitogen + phosphatase inhibitor (black) conditions at 4 h. g, The output from mathematical modelling: an incoherent feedforward loop involving mTOR, a protein phosphatase and the APC/C through phosphorylation of CDH1. Experimentally derived APC/C activity and APC/C biosensor levels (geminin–mCherry) are plotted for comparison. h, Schematic showing an incoherent feedforward loop between mTOR, APC/C and protein phosphatase. The process of mTOR-mediated APC/C inactivation is relatively fast (<1 h) and the process of protein phosphatase-mediated APC/C reactivation is a relatively delayed process (>4 h).

Source data

We next investigated the timing and interplay between mTOR-mediated APC/C inactivation and protein-phosphatase-mediated APC/C reactivation. Inhibiting mTOR with rapamycin within 1 h of mitogen stimulation blocked the transient APC/C inactivation but, when rapamycin was added two or more hours after mitogen stimulation, the APC/C transiently inactivated to similar levels to the control (Fig. 3e). These data are consistent with our earlier observation that mTOR is rapidly activated within 1 h of mitogen stimulation (Extended Data Fig. 6a) and CDH1 phosphorylation is already detected 1 h after mitogen stimulation (Extended Data Fig. 4j), indicating that mTOR-mediated phosphorylation of CDH1 is a rapid/early process after mitogen stimulation (Fig. 3e). To investigate when protein phosphatase activity on CDH1 becomes relevant to APC/C activity, we treated cells with mitogens and a protein phosphatase inhibitor at time zero and measured when APC/C biosensor levels diverged from those of the cells treated with mitogens alone. Analysis of the median APC/C biosensor levels revealed that they co-accumulated with each other until 4 h from the addition of mitogens, at which point, the median traces diverged, with the phosphatase inhibitor-treated cells continuing to accumulate the APC/C biosensor (Fig. 3f). Furthermore, addition of the phosphatase inhibitor to quiescent cells did not induce APC/C biosensor accumulation, whereas addition of the phosphatase inhibitor at various timepoints more than 4 h after mitogen stimulation caused an immediate accumulation of APC/C biosensor levels (Extended Data Fig. 6e,f). These data indicate that protein phosphatases first start to affect APC/C activity 4 h after mitogen stimulation—a relatively delayed process compared with mTOR activity. Notably, this combination of an inhibitory regulation and an activating regulation generates an incoherent feedforward circuit—a signalling motif capable of generating transient pulses of activity26,27. To demonstrate how this incoherent feedforward loop, comprising rapid mTOR activation and delayed protein phosphatase activation, could affect the kinetics of APC/C activity, we used a mathematical model and incorporated the timing parameters that we measured experimentally. The APC/C activity levels generated by this model displayed transient and partial APC/C inactivation, matching our experimental observations for both APC/C activity and APC/C substrate levels, demonstrating how the proposed signalling architecture is consistent with the observed dynamics (Fig. 3g). Overall, we find an incoherent feedforward loop involving mTOR, APC/C and a protein phosphatase that generates transient and partial APC/C inactivation during cell cycle entry (Fig. 3h).

Transient APC/C inactivation boosts glycolysis

Given that APC/C transiently inactivates during cell cycle entry and that APC/C inhibits glycolysis, we hypothesized that cells may transiently shift to glycolysis during the 1–6 h when the APC/C is partially inactivated. One of the APC/C substrates linked to glycolysis is PFKFB3, a key enzyme regulating glycolytic flux1,2,28,29. We confirmed previous reports that PFKFB3 is a substrate of APC/C2,6 (Extended Data Fig. 7a–c). Moreover, we observed that both PFKFB3 and PFKFB2 transiently accumulate during cell cycle entry, with PFKFB2 exhibiting a prolonged accumulation compared with PFKFB3. By contrast, PFKFB1 did not show transient accumulation (Extended Data Fig. 7d). We confirmed that PFKFB3, but not PFKFB1 or PFKFB2, accumulates during cell cycle entry in an APC/C-dependent manner and is independent of β-TrCP, another ubiquitin ligase that is known to ubiquitinate PFKFB3 (ref. 6) (Extended Data Fig. 7e). The accumulation of PFKFB3 is inhibited by rapamycin (Fig. 4a and Extended Data Fig. 7f) or by expression of the CDH1(T129A) mutant either transiently or using an inducible expression system (Fig. 4b and Extended Data Fig. 8a–g). Mutating PFKFB3’s KEN box, a known APC/C degron sequence, resulted in higher levels of PFKFB3 after mitogen stimulation that could not be inhibited by expressing the CDH1(T129A) mutant (Extended Data Fig. 8h,i). The build-up of PFKFB3 is the result of post-transcriptional regulation, as the mRNA levels of PFKFB3 are not affected by CDH1(T129A) expression (Extended Data Fig. 8j). During the time when APC/C is transiently inactivated, we observed relatively low levels of PFKFB3 polyubiquitination, but inhibiting mTOR with rapamycin was able to increase PFKFB3 polyubiquitination in a CDH1-dependent manner (Fig. 4c). Similarly, expression of the CDH1(T129A) but not the CDH1(T129D) mutant led to increased PFKFB3 polyubiquitination and lower PFKFB3 protein levels (Fig. 4d and Extended Data Fig. 8k,l). Finally, treatment of cells with a protein phosphatase inhibitor 5 h after mitogen stimulation showed reduced PFKFB3 polyubiquitination (Fig. 4e), consistent with PFKFB3 ubiquitination being regulated by the mTOR-mediated CDH1 phosphorylation status.

Fig. 4: PFKFB3 transiently accumulates during cell cycle entry to promote a metabolic switch.
Fig. 4: PFKFB3 transiently accumulates during cell cycle entry to promote a metabolic switch.
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a,b, PFKFB3 levels in MCF-10A cells that were starved for 48 h, then stimulated with mitogens with or without DMSO or rapamycin (a) or transfected with vector or HA–CDH1(T129A) (b). Quantification is shown below the blots. Data are mean ± s.d. n = 3 (a) and n = 4 (b). P values were calculated using one-way ANOVA. c,d, Immunoprecipitation of PFKFB3 in starved MCF-10A cells that were stimulated with mitogens (0 h), and treated with MG132 (10 µM) at 1 h. Cells were collected at 4 h. Cells were treated with CDH1 siRNA with or without rapamycin (c) or expressing HA–CDH1(T129A) or HA–CDH1(T129D) (d). Representative blots. n = 3. e, Immunoprecipitation of PFKFB3 in starved MCF-10A cells stimulated with mitogens with or without phosphatase inhibitor (0 h) and treated with MG132 (10 μM) at 1 h. Cells were collected at 5 h. Representative blot. n = 3. f,g, Total ATP (f) and change in ATP levels (g) in quiescent or mitogen-stimulated MCF-10A cells. Data are mean ± s.d. n = 4. P values were calculated using one-way ANOVA. h, Normalized ATP from glycolysis (red) or the OXPHOS pathway (grey) under the same conditions as in f. Data are mean ± s.d. from n = 3 independent experiments. i, The HYlight signals (GFP:Sapphire ratio) in MCF-10A cells that were cultured for 50 h without growth factors, then treated with or without EGF (20 ng ml−1) and insulin (10 µg ml−1). The mean traces represent n ≥ 2,500 cells. j, Quantification of the ATP-generation rate from glycolysis or OXPHOS in quiescent MCF-10A cells or in MCF-10A cells after mitogen stimulation for 4 h, with the indicated treatments, ectopic expression or gene knockdown. Data are mean ± s.d. from n = 3 independent experiments. P values were calculated using one-way ANOVA. k, The normalized basal ECAR in quiescent MCF-10A cells or MCF-10A cells after 4 h of mitogen stimulation with the indicated treatments or ectopic gene expression. Data are mean ± s.d. n = 3 experiments; 5 technical replicates, except for PFK15, for which there were 2 technical replicates. P values were calculated using one-way ANOVA. l, The relative mean abundance of traced glycolytic metabolites in quiescent or mitogen-stimulated (4 h) MCF-10A cells with or without ectopic CDH1(T129A) expression. Isotopologues: M+6 (glucose 6-phosphate (G6P), fructose 6-phosphate (F6P), fructose 1,6-bisphosphate (FBP)); M+3 (dihydroxyacetone phosphate (DHAP), glyceraldehyde 3-phosphate (3PG), phosphoenolpyruvate (PEP), pyruvate (PYR)). Data are mean ± s.d. normalized to protein. n = 3. Inset: magnification of the indicated metabolites. Bottom, schematic of glucose-to-pyruvate carbon flow. ALDO, aldolase; ENO, enolase; GAPDH, glyceraldehyde 3-phosphate dehydrogenase; HK, hexokinase; PFK, phosphofructo-kinase-1; PGI, phosphoglucose isomerase; PGK, phosphoglycerate kinase; PGM, phosphoglycero-mutase; PK, pyruvate kinase.

Source data

To determine whether the PFKBF3 accumulation by transient APC/C inactivation leads to a pulse of bioenergetics29, we first measured total ATP levels during cell cycle entry. We found a steady increase in total cellular ATP levels during cell cycle entry (Fig. 4f,g). Given that PFKFB3 is one of the rate-limiting enzymes of glycolysis1,28,29 (Extended Data Fig. 9a), we considered whether the increase in total ATP levels we observed was due to an increase in the glycolytic rate during cell cycle entry. We therefore measured the contribution of glycolysis to the rate of ATP production during cell cycle entry using a Seahorse ATP rate assay. While quiescent cells relied on a relative even balance between the rate of glycolysis and OXPHOS, we observed an increase in the relative rate of ATP production due to glycolysis 4 h after mitogen stimulation, followed by a relative decrease in the rate of ATP production due to glycolysis 8 h after mitogen stimulation, coinciding with the time when APC/C is transiently inactivated (Fig. 4h and Extended Data Fig. 9b,c). To assess the changes in the glycolytic rate at a higher time resolution, we conducted live-cell imaging experiments using the HYlight reporter, which measures glycolytic flux through the fructose 1,6-bisphosphate concentration30, and took measurements every 6 min. Similar to the Seahorse assays, we observed a transient increase in the HYlight signal, indicative of a transient increase in the rate of glycolysis after mitogen stimulation, coinciding with transient APC/C inactivation (Fig. 4i). The transient increase in the HYlight signal was suppressed by depriving cells of glucose and glutamine, or depriving cells of glucose, glutamine and pyruvate (Extended Data Fig. 9d,e). Consistently, we also observed a transient increase in glucose uptake after mitogen stimulation (Extended Data Fig. 9f), corroborating previously published reports that found increased labelled glucose uptake 2 h after mitogen stimulation31. This transient increase in the glycolytic rate during cell cycle entry can be inhibited by rapamycin, expressing the CDH1(T129A) mutant, depleting PFKFB3 using siRNA (Fig. 4j and Extended Data Fig. 9g–i) or inhibiting PFKFB3 using the small-molecule inhibitor PFK15 (Fig. 4k). Furthermore, ectopic expression of CDH1(T129A) results in compartmentalization of early glycolytic steps, leading to a reduced flow of G6P/F6P, but relative build-up of lower glycolytic intermediates (Fig. 4l). This is consistent with reduced glycolytic flux, in agreement with previous studies32,33. By contrast, expressing PFKFB3KEN-mut, which is resistant to APC/C-mediated degradation, rescues the lower glycolytic rate observed when expressing the CDH1(T129A) mutant (Extended Data Fig. 9j), and expressing the phosphomimetic CDH1(T129D) mutant does not affect the transient increase in the glycolytic rate (Fig. 4j,k). Protein translation is one of the most energetically demanding processes, largely depending on the availability of biosynthetic macromolecules and ATP34. Consistent with a reduction in the availability of these macromolecules and ATP, we observed that MCF-10A cells expressing the CDH1(T129A) mutant, but not the CDH1(T129D) mutant, showed a significant decrease in protein translation (Extended Data Fig. 9k,l). Thus, cells transiently increase the rate of glycolysis during cell cycle entry and, when the APC/C is prevented from transiently inactivating, cells cannot increase the glycolysis rate, resulting in lower levels of glycolytic products and reduced protein translation.

Transient APC/C inactivation aids cell cycle entry

Having established that transient APC/C inactivation is needed for the proper management of bioenergetics and biosynthetic macromolecules during cell cycle entry, we hypothesized that transient APC/C inactivation is necessary for cell cycle entry. To test this hypothesis, we exogenously expressed the CDH1(T129A) and CDH1(T129D) mutants in MCF-10A cells entering the cell cycle and monitored cell cycle entry using the CDK2 biosensor. We observed that expression of the CDH1(T129A) mutant significantly reduced the number of cells that activate CDK2, enter the cell cycle and proliferate (Fig. 5a–d and Extended Data Fig. 10a). Conversely, expression of the CDH1(T129D) mutant that binds poorly to the APC/C core had little effect on the number of cells that activate CDK2, enter the cell cycle and proliferate compared with the control (Fig. 5a–d), suggesting that transient APC/C inactivation is needed for robust cell cycle entry. We further tested our hypothesis by treating MCF-10A cells with the PFKFB3 inhibitor PFK15 and also observed a reduced number of cells entering the cell cycle as measured by CDK2 activity (Extended Data Fig. 10b). Notably, transiently expressing the CDH1(T129A) mutant or treating cells with PFK15 for only the first 8 h or 6 h after mitogen stimulation, approximately when we observed transient APC/C inactivation and transient PFKFB3 accumulation, respectively, still significantly reduced the number of cells entering the cell cycle, indicating that the transient accumulation of PFKFB3, and the transient increase in glycolytic rate that happens as a result, is necessary for the activation of CDK2 and cell cycle entry (Extended Data Fig. 10c–f).

Fig. 5: Transient APC/C inactivation promotes cell cycle entry.
Fig. 5: Transient APC/C inactivation promotes cell cycle entry.
Full size image

a, Schematic of the signalling pathway that results from each treatment (top). Data are single-cell CDK2 activity traces of MCF-10A cells treated as indicated. Cells were first mitogen-starved for 48 h to induce quiescence followed by ectopic overexpression of empty vector (EV), HA–CDH1(T129A) or HA–CDH1(T129D). n = 200 cells per condition. b, Relative quantification of the percentage of cycling cells from a normalized to the empty vector control. Data are mean ± s.d. from n = 4 independent experiments. P values were calculated using one-way ANOVA. c, Long-term colony-formation assay of MCF-10A cells expressing inducible CDH1(T129A) or CDH1(T129D) protein 72 h after mitogen withdrawal. Cells were allowed to grow normally for 7 days with the induction of the indicated proteins, fixed and stained. Representative images from n = 3 independent experiments. d, Quantification of the percentage of colonies from c. Data are mean ± s.d. from n = 3 independent experiments. P values were calculated using one-way ANOVA. e, Schematic of the events during cell cycle entry, glycolysis and APC/C activity. After cell cycle entry, mTOR phosphorylates CDH1 leading to transient APC/C inactivation. Protein phosphatases remove CDH1 phosphorylation leading to APC/C reactivation. Transient APC/C inactivation allows for a temporary switch to glycolysis, coordinating ATP production and the synthesis of macromolecules with the rest of the cell cycle machinery needed for cell cycle entry.

Source data

Discussion

Here we show how cells coordinate the dual but mutually exclusive requirement for APC/C activity and glycolysis during cell cycle entry. Typically, the APC/C functions as a molecular switch by turning on or off to control progression through critical cell cycle phase transitions using signalling motifs involving positive and negative feedback loops9,15,16,35. Our study shows that, in addition to switch-like regulation by cyclin-dependent kinases at both the G1/S and the metaphase/anaphase transitions7,9, mTOR mediates a transient and partial inactivation of the APC/C at the G0/G1 transition through phosphorylation of CDH1 (Fig. 5e). While we identified Thr129 as an important site phosphorylated by mTOR, it is possible that mTOR also phosphorylates additional amino acids on the N terminus of CDH1, similar to the multisite phosphorylation of CDH1 by CDK2 at the G1/S transition. Overall, we found that, during cell cycle entry, mitogens trigger an incoherent feedforward loop to generate a transient pulse of APC/C inactivation, resulting in a transient accumulation of PFKFB3 (including other APC/C substrates such as geminin) and a temporary increase in glycolysis. Thus, cells coordinate metabolism with the rest of the cell cycle machinery through the temporal and dynamic regulation of the APC/C and its substrates to ensure robust cell cycle entry. Notably, we observed transient APC/C inactivation only during the first cell cycle after exit from quiescence and not in the subsequent cell cycles, suggesting that cells require a metabolic jumpstart to ignite the cell cycle engine and leave quiescence. However, once running, the cell cycle metabolic machinery appears to be capable of sustaining its momentum through multiple cell cycles36.

Our findings demonstrate that transient inactivation of APC/C during cell cycle entry triggers a metabolic switch favouring glycolysis dependent on PFKFB3 in normal cells. Notably, cancer cells exhibit a distinct metabolic phenotype, often relying on glycolysis for their sustenance and rapid proliferation. As our data indicate this APC/C-mediated metabolic shift promotes cell cycle entry, it may be deregulated in diseases such as cancer, which often display perturbed cell cycle entry mechanisms37. Further exploration of the interplay between the mTOR–APC/C-protein phosphatase loop holds potential for identifying therapeutic targets and developing innovative strategies to intervene in disease. Elucidating the intricate dynamics of this molecular network will not only advance our understanding of cell cycle regulation but could also offer promising routes for targeted therapeutic interventions in cancer and related disorders.

Methods

Cell culture

Human MCF-10A, human retinal pigment epithelial (RPE-1), human lung fibroblasts (HLFs) and transformed human embryonic kidney (HEK293T) cells were obtained from ATCC. MEFs were gift from J. Vidigal. Cell lines not obtained from ATCC were not authenticated. MEFs, HLFs and HEK293T cells were cultured in Dulbecco’s modified Eagles medium (DMEM) (Gibco, Life Technologies) containing 10% FBS (Gibco). MCF-10A cells were cultured in the following full-growth medium: phenol-red-free DMEM/F12 (Invitrogen) supplemented with 5% horse serum, 20 ng ml−1 EGF, 10 µg ml−1 insulin, 500 µg ml−1 hydrocortisone, 100 ng ml−1 cholera toxin and 1% penicillin–streptomycin. To induce quiescence, cells were mitogen-starved for 48–72 h with DMEM/F12 (Invitrogen) supplemented with 0.3% bovine serum albumin, 100 ng ml−1 cholera toxin and 1% penicillin–streptomycin. For starvation experiments longer than 48 h, starvation medium was replaced in each 48 h interval. For contact inhibition mediated quiescence, cells were seeded at 90% confluence and allowed to grow in full growth medium for 48 h to induce quiescence. Where indicated, quiescent cells were transfected with 20% OPTI-MEM (Invitrogen) for 6 h, followed by replenishing with starvation medium for an additional 24 h before mitogen stimulation. To induce quiescence through MEK inhibition, cells in complete medium were treated with 100 nM trametinib for 48 h. RPE-1 cells were cultured in DMEM/F12 (Invitrogen) supplemented with 10% FBS and with 0.01 mg ml−1 hygromycin B. For mitogen-removal experiments, RPE-1 cells were incubated with the above-described composition supplemented with 0.3% BSA and without FBS. MEFs were starved with DMEM containing 0% serum for 72 h. All tissue culture media were supplemented with 2 mM l-glutamine, 25 μg ml−1 streptomycin and 25 U penicillin (Gibco). Cells were cultured in a humidified atmosphere with 5% CO2 at 37 °C. For all pTeton experiments, cells were pretreated with doxycycline for 12 h in starved medium followed by induction with mitogen and doxycycline if not otherwise mentioned. Cells were routinely tested for mycoplasma.

Constructs and stable cell lines

CSII-pEF1α-H2B-mTurquoise, CSII-pEF1α-mCherry-Geminin(amino acids 1–110) and CSII-pEF1α-DHB(amino acids 994–1087)-mVenus were described previously8,13. HA–CDH1 was a gift from M. Santra, HA–CDH1(T129A) and HA–CDH1(T129D) were subcloned using Gibson cloning. CMV-Hylight was a gift from R. Goodman (Addgene, 193447)30. Wild-type PFKFB3 and PFKFB3KEN-mut (KEN box mutant PFKFB3) were gifts from J. P. Bolanos2. Transduced cells were sorted on the BD Biosciences FACS-Aria Fusion system to obtain pure populations expressing the desired fluorescent biosensors. The plasmids were co-transfected with the packaging plasmid (pCAG-HIVgp) and the VSV-G- and Rev-expressing plasmid (pCMV-VSV-G-RSV-Rev) into HEK293T cells. High-titre viral solutions of the target proteins were prepared and used for co-transduction into several cell lines. Then, 72 h later, cells were FACS sorted to obtain a pure population of cells expressing the biosensors against the protein of interest. For making the inducible system, gene bodies were cloned in pSB-Tet on system (Addgene, 60496). Cells were transfected with sleeping beauty transposon, Tet-on gene and selected using puromycin as the selection marker.

Treatment of cells

Cells were treated with vehicle (DMSO, Sigma-Aldrich, D2650), 100 nM of rapamycin (Tocris Biosciences, 1292/1), 10 nM of RMC6272 (Medchem Express, HY-134904), 100 nM of PD0325901 (MEKi) (Selleckchem, S1036), 10 µM of RO3306 (Calbiochem, SIG217714), 1 µM of palbociclib (Selleckchem, S1116), 2.5 µM PFK15 (Selleck Chem, S7289), 5 mM 2-deoxy glucose (Sigma-Aldrich, D8375), d-glucose (U-13C6, 99%) (Cambridge Isotope Laboratories, CLM-1396-2), dialysed horse serum 10 kDa (Bioivt, HSE00SRM-0108261), 30 μM DRB18 (Cayman Chemical, 38217), 5–10 μM MG132 (Calbiochem, 133407-82-6) or a pan-phosphatase inhibitor (20 mg ml−1 of sodium fluoride (Sigma-Aldrich, 7681-49-4) and 40 mg ml−1 of sodium orthovanadate (Sigma-Aldrich, 13721-39-6)) for the indicated timepoints. For doxycycline induction of CDH1(T129A) or CDH1(T129D), cells were incubated with 5 μM doxycycline for 8 h in the starvation medium followed by mitogen stimulation with doxycycline. Similarly, for PFK15 and 2-DG treatment, cells were pretreated with respective drugs for 6 h in the starvation medium followed by mitogen stimulation with respective drugs. The cells were either collected after treatment and whole-cell extracts were prepared or imaging was continued. For experiments without glucose, cells were starved as described above with starvation medium, followed by replacement with starvation medium without glucose for the last 12–16 h. Cells were either stimulated with starvation medium containing 1,000 pg ml−1 of EGF with or without glucose. For RPE-1 cells and MEFs, cells were starved for 48 h, followed by 12–16 h of starvation without glucose. Cells were stimulated to enter the cell cycle by replacing the starvation medium with 2% FBS containing DMEM-F12 or DMEM medium, respectively, with or without glucose.

Antibodies

The following antibodies were used in this study; CDH1 (FZR1) antibody (Abcam, Ab217038, 1:1,000, IP: 2 µg; Santa Cruz, sc-56312, IB: 1:800; Sigma-Aldrich, CC43-100UG, 1:2,000), mTOR antibody (CST, 2972, 1:1,000), p-mTOR (CST, 2971, 1:1,000), mCherry (Abcam, ab167453, 1:1,000), geminin (CST, 5165, 1:1,000), cyclin D1 (Thermo Fisher Scientific, MA5 14512, 1:750), p-Rb (Ser807/811) (CST, 8516, 1:1,000), Rb (CST, 9309, 1:2,000), vinculin (Sigma-Aldrich, V9131, 1:10,000), Ki-67 (Abcam, ab8191, 1:1,000), p21 (BD Biosciences, 556430, 1:1,000), p27 (CST, 3686, 1:1,000), His tag (Santa Cruz, sc-8036, 1:800), anti-DDK/Flag (Sigma-Aldrich, F3165, 1:1,000), p-S6 kinase (CST, 9205, 1:1,000), APC2 (CST, 12301, 1:1,000), APC6 (CST, 9499, 1:1,000), APC11 (CST, 14090, 1:1,000), S6 kinase (CST, 9202, 1:1,000), p-4EBP1 (CST, 2855, 1:1000), cyclin A2 (Santa Cruz, sc-271682, 1:500), EMI1 (Santa Cruz, sc-365212, 1:500), cyclin F (Santa Cruz, sc-515207, 1:500), βTrCP (CST, 4394, 1:1,000), pSer/Thr/Tyr (Thermo Fisher Scientific, 61-8300, 1:1,000), pThr (Abcam, ab9337, 1:500), pTyr (Abcam, ab10321, 1:1,000), pan anti-phospho-serine/threonine antibody (Phospho Solutions, PP2551; 1:2,000), HA (Santa Cruz, sc-7392, 1:800, IP: 2 µg; and CST, 3724, 1:1,000), GST (Santa Cruz, sc-138, 1:750), PFKFB3 (MBS, 9604769, IB: 1:750, IP: 2 µg), PFKFB3 (Abcam, AB181861-1001, 1:4,000), PFKFB2 (CST, 13029, 1:1,000), PFKFB1 (Abcam, ab155564, 1:1,000), β-actin (Abcam, ab6276, 1:2,000), RPTOR (CST, 2280, 1:1,000), RICTOR (CST, 2114, 1:1,000), mLST8 (CST, 3274, 1:1,000), ubiquitin (Santa Cruz, sc-8017, 1:800), TSC1 (CST, 6935, 1:1,000), NPRL2 (CST, 37344, 1:1,000), histone H1 (Abcam, 11079, 1:1,000), EGFR (Santa Cruz, sc-373746, 1:800), AKT (CST, 9272, 1:1,000), p-AKT (CST, 4060, 1:1,000), mouse anti-goat IgG-HRP (Santa Cruz, sc-2354, 1:10,000), anti-rabbit IgG, HRP-linked antibody (CST, 7074, 1:10,000), mouse anti-rabbit secondary-HRP (Santa Cruz, sc-2357, 1:2,500) or recombinant anti-mouse (Santa Cruz, sc-516102, 1:2,500), anti-mouse IgG, HRP-linked antibody (CST, 7076, 1:10,000), normal rabbit IgG (CST, 2729, IP: 2 µg), normal mouse IgG (Santa Cruz, sc-2025, IP: 2 µg).

siRNA transfection

The indicated cells were transfected using Dharmafect 1 (Horizon) according to the manufacturer’s instructions. The following siRNAs were used: On-Target plus control siRNA (nontargeting, Dharmacon), On-Target plus pooled set of four siRNAs for CCNA2 (M-003205-02-0005), FZR1 (L-004086-00-0005), EMI1 (M-012434-01-0005), CCNF (custom, 5′-GCACCCGGUUUAUCAGUAAUUUU-3′), BTRC (encoding βTrCP) (L-003463-00-0005 and L-003490-00-0005), PFKFB3 (L-006763-00-0005), TSC1 (L-003028-00-0005), NPRL2 (L-015645-00-0005), CDH1 3′ UTR (Qiagen, SI04955265|S1 (1027417) at final concentrations of 20 nM unless noted. Then, 6 h after transfection, the medium was replaced with starvation medium and imaging was started 24 h later.

Time-lapse microscopy

Before imaging, cells were plated in a 96-well plate (Ibidi, 89626) and allowed to grow in full growth medium for 24 h. Time-lapse imaging was conducted in 200 μl full growth medium, with images captured in CFP, YFP and RFP channels every 12 min using a Nikon Ti2-E inverted microscope (Nikon) with NIS elements (V5.11.00) equipped with ×10/0.45 NA and ×20/0.75 NA Plan Apo objectives. To minimize phototoxicity, the total light exposure time was kept under 300 ms (30 ms for CFP, 200 ms for YFP and 300 ms for mCherry) for each timepoint. The cells were imaged in a humidified chamber at 37 °C with 5% CO2. To ensure minimal overlap, four or six sites were imaged per well with their positions spaced apart. For experiments involving drug treatments, cells were first imaged without drugs, and the video was then paused to exchange fresh medium in each well with the desired drug concentration. For experiments with the HYlight biosensor, the following filter sets were used: Sapphire: Chroma ET395/25x excitation filter, Chroma ET525/50m emission filter, Chroma T425lpxr dichroic; GFP: Chroma ET480/20X excitation filter, Chroma ET510/20 m emission filter, Chroma T495lpxr dichroic. Cell tracking and data analysis were performed using custom MATLAB scripts.

Cell lysate preparation and immunoblotting

The cells were washed twice with ice-cold PBS and collected. Whole-cell lysis buffer (50 mM Tris pH 7.4, 200 mM NaCl, 50 mM NaF, 1 mM Na3VO4, 0.5% Triton X-100 and protease inhibitor cocktail) was added to the cells, and the cells were lysed on ice for 30 min. The lysates were centrifuged at high speed (16,000g), and the clear supernatants were transferred into new tubes. The protein concentration was measured using the BCA method, with BSA used as a standard. The samples were prepared in SDS sample buffer and run in SDS–PAGE running buffer (Bio-Rad, 1610772). The separated proteins were transferred onto a PVDF membrane using the Bio-Rad semidry transfer system (Bio-Rad, 10026938). The membranes were incubated with the primary antibody overnight at 4 °C and subsequently with an HRP-conjugated secondary antibody for 1 h at room temperature. The blots were developed using the chemiluminescence method, and densitometry analysis of the immunoblots was performed using ImageJ software.

Immunoprecipitation

The cells were lysed as described above (see the ‘Cell lysate preparation and immunoblotting’ section). A total of 300–500 μg of whole-cell lysate was co-immunoprecipitated with 2 μg of antibody and IgG control in 500 µl of modified IP lysis buffer (50 mM Tris pH7.4, 200 mM NaCl, 50 mM NaF, 1 mM Na3VO4, 0.1% Triton X-100 and protease inhibitor cocktail). The protein–antibody mixture was kept at 4 °C in a rotor with gentle rocking for 12–16 h. The next day, the mixture was allowed to bind to protein G agarose beads for 2 h at 4 °C with gentle rocking. The immunoprecipitated proteins were eluted from the beads using Laemmli buffer for 3–5 min and boiled before resolving on SDS–PAGE. In all immunoprecipitation assays, 3% of the proteins taken in the immunoprecipitation experiment were used as input.

For co-IP of purified protein, 200 ng of His–CDH1 was allowed to bind to the beads overnight followed by washing and addition of purified mTOR. The whole complex was kept at 4 °C with rotation for 1 h followed by washing and elution using 1× SDS-Laemmli buffer. For untagged purified protein co-IPs, magnetic Flag beads (A36797, Thermo Fisher Scientific) were used and DDK–mTOR (Sigma-Aldrich, SRP0364)/DDK–DYRK4 (Carna Biosciences, 04-434) was allowed to bind to the beads overnight at 4 °C followed by washing and addition of purified WT or mutant CDH1 or His–SUMO–CDH1 (Mybiosource, MBS1437931). The whole complex was kept at 4 °C with rotation for 1 h followed by washing and elution using 1× SDS-Laemmli buffer.

In vitro kinase assay

A total of 200 ng of untagged human CDH1 or His–SUMO–CDH1 purified protein was incubated with 200 ng of DDK-tagged human mTOR protein (Carna Biosciences or Sigma-Aldrich), GST–CDK1–cyclin B (Carna Biosciences, 04-102), GST–ERK (Reaction Biology, 0883-0000-1) or Flag–DYRK4 (Carna Biosciences, 04-434) in 1× kinase buffer (Cell Signaling Technology, 9802). The assay was performed with 100 µM of ATP (Cell Signaling Technology, 9804) at 37 °C for 30 min, followed by addition of 4×-reducing SDS sample buffer and heating at 95 °C for 10 min. The reaction was resolved by SDS–PAGE and immunoblotting was performed as stated above.

Ubiquitination assay

Before collection, cells were treated with 10 μM of MG132 for 3–4 h (except where otherwise mentioned). After collection, whole-cell lysates were prepared and 300–500 μg of lysate was subjected to immunoprecipitation using the indicated antibodies. The immunoprecipitate obtained was separated using SDS–PAGE and probed with anti-ubiquitin antibodies to determine the levels of ubiquitylation.

In vitro phosphorylation of CDH1 for ubiquitination assay

CDH1 purified from baculoviral infected insect cells was subjected to phosphorylation by recombinant Flag–mTOR + mLST8 (Carna Biosciences, 11-431). Then, 1 µM CDH1 WT, T129A or T129D was mixed with buffer or 10 ng µl−1 mTOR and 200 µM of MgCl2-ATP for 30 min at 30 °C, after which the reactions were stored on ice. All of the reactions (control or containing mTOR) were treated equally). All further steps were performed either on ice or at 4 °C unless otherwise stated. The reactions were quenched by removal of ATP through desalting with a Zeba Spin column (Thermo Fisher Scientific, PI89882) into 20 mM HEPES pH 7.0, 400 mM AmSO4, 100 mM NaCl with or without 2.5% glycerol according to the manufacturer’s specifications. Flag–mTOR was removed from the reactions, desalted into glycerol-containing buffer through addition of 40 µl of 50:50 Flag-resin slurry (GenScript, L00432) equilibrated with glycerol-containing buffer. The slurry was rotated in batch for 1 h on ice, then Flag resin was pelleted by centrifugation at 1,500g. The supernatant was removed and used for further reactions. The concentration of reacted CDH1 was checked by Nanodrop and confirmed with Coomassie staining. Phosphorylation was confirmed by western blotting with pan-anti-phospho-serine/threonine antibody (Phospho Solutions, PP2551; 1:2,000) or CDH1 (Sigma-Aldrich, CC43-100UG; 1:2,000), mouse anti-rabbit secondary-HRP (Santa Cruz, sc-2357; 1:2,500) or recombinant anti-mouse (Santa Cruz, sc-516102; 1:2,500) and visualized with Clarity ECL (Bio-Rad, 1705060).

In vitro ubiquitination assays

Ubiquitination assays were performed with recombinant APC/C, UBE2C, UBA1, substrates, ubiquitin and CDH1 as previously described38,39. Then, 100 nM of fluorescently labelled cyclin A2 (FAM-cyclin A) or the N-terminal domain (NTD) of cyclin B (FAM-cyclin BNTD) was incubated on ice with 100 nM UBA1, 300 nM UBE2C, 5 mM Mg-ATP, 30 nM APC/C and 30 nM CDH1. The components were equilibrated to room temperature for 5 min before reactions were started with addition of 100 µM ubiquitin. The reactions were quenched after 20 min with 4× SDS–PAGE loading buffer, separated on 4–12% Bis-Tris gels, and imaged on the Amersham Typhoon imager. For in vitro ubiquitination assays with recombinant phosphorylated CDH1, 40 nM CDH1 was mixed with 30 nM APC/C, 100 nM UBA1, 300 nM UBE2C, 250 nM CycB-NTD* and 5 mM MgCl2-ATP on ice. The reaction was allowed to come to room temperature, and 100 µM Ub was added. The reactions were quenched after 20 min with 4× SDS buffer. Proteins were separated on 4–12% Bis-Tris SDS–PAGE gels (GenScript, M00654) and CycB-NTD* ubiquitination was visualized on the Typhoon fluorescence scanner. Ubiquitination was quantified in ImageQuant software and normalized to CDH1 WT without mTOR.

Image analysis

Custom MATLAB scripts were used for all image analyses, according to previously described methods8. In brief, optical illumination bias was empirically determined by sampling background areas in all wells during an imaging session, and this information was then used to flatten all images. This enabled a global background to be measured and subtracted from each image. Cells were segmented based on their nuclei using either Hoechst staining for fixed-cell imaging or H2B–mTurquoise for live-cell imaging. The procedure for determining APC/C and CDK2 activity was previously reported13.

OPP assay

Cells were seeded and starved for 48 h. After 24 h of the starvation, empty vector, CDH1(T129A) or CDH1(T129D) mutant was ectopically expressed in the cells and after 6 h of transfection medium was replaced with starvation medium. Cells were released as described above and incubated with 20 µM of O-propargylpuromycin (OPP) for 30 min followed by fixation with 4% paraformaldehyde for 15 min at room temperature in the dark. Further procedures were performed according to the manufacturer’s instructions (Thermo Fisher Scientific, C10458).

Glycolysis and ATP rate measurements by extracellular flux assays

To measure glycolytic function of cells, the Glycolysis Stress Test Kit (Agilent technologies, 103020-100) was used. To measure the glycolytic bioenergetics of cells, the Glycolytic Rate Assay Kit (Agilent technologies, 103344-100) was used. To distinguish between the fraction of ATP produced from mitochondrial OXPHOS and glycolysis, the ATP Rate Assay Kit (Agilent technologies, 103591-100) was used. For all of the assays, cells were initially seeded at a density of 10,000 cells per well in an XF96-well plate precoated with poly-lysine. For ectopic overexpression or silencing, Lipofectamine 3000 or Dharmafect 1 (Horizon) were used to transfect cells according to the manufacturer’s instructions. After 24 h of transfection, cells were released with complete medium with or without drugs for another 3 h. After release, for the glycolysis stress test, cells were washed and incubated with Seahorse XF DMEM medium, pH 7.4 (Agilent Technologies, 103575-100) supplemented with 2 mM glutamine. Glucose, oligomycin and 2-DG were added to cells sequentially at the specific timepoint with final concentrations of 10 mM, 1 μM and 50 mM, respectively. For the glycolytic rate assay, cells were washed and incubated with Seahorse XF DMEM medium, pH 7.4 (Agilent Technologies, 103575-100) supplemented with 10 mM glucose, 1 mM pyruvate and 2 mM glutamine. Antimycin/rotenone and 2-DG were added to cells sequentially at the specific timepoint with final concentrations of 0.5 μM and 50 mM, respectively. For the ATP rate test, cells were washed and incubated with Seahorse XF DMEM medium, pH 7.4 (Agilent Technologies, 103575-100) supplemented with 10 mM glucose, 1 mM pyruvate and 2 mM glutamine. Oligomycin and antimycin/rotenone were applied with final concentrations of 1.0 μM and 0.5 μM, respectively. The oxygen-consumption rate and ECAR was collected using the Agilent Seahorse Wave 2.6.1 desktop software. Data were normalized to the cell number determined using the crystal violet assay and analysed using the Wave software.

ATP measurements

Cells were seeded at a density of 5,000 cells per well in a 96-well plate and incubated with complete growth medium for 24 h. The medium was then replaced with starvation medium and incubated for another 24 h. The cells were then transfected with either siControl or siPFKFB3 (using Dharmafect, Horizon) or CDH1(T129A) and CDH1(T129D) (using Lipofectamine 3000, Invitrogen). Then, 6 h after transfection, the medium was replaced with starvation medium. After another 24 h, the cells were mitogen-stimulated to promote cell cycle entry. Then, 4 h after stimulation, the medium was replaced with chilled PBS and the sample was kept on an iron slab on ice to stop or slow down the metabolic turnover40,41. The cells were collected and the assays were performed according to the manufacturer’s protocols (Abcam, ab113849).

qPCR with reverse transcription

Total RNA was extracted from cultured cells using the RLT RNeasy 96 Qiacube HT Kit (Qiagen, 74171) and on-column DNA digestion was performed using the Qiagen DNA digestion kit (79254). The cDNA was synthesized using the Bio-Rad cDNA preparation kit according to the manufacturer’s instructions, starting with 1 µg of total RNA. Quantitative PCR (qPCR) was performed using the Bio-Rad SYBR green qPCR Mix. The expression of GAPDH was used as a reference gene to normalize the mRNA level of the gene of interest. The relative mRNA levels were determined by comparing the treated or transfected samples to the untreated or vector control, which was considered as 1. The following primers were used: GAPDH forward, AATCCCATCACCATCTTCCA; GAPDH reverse, TGGACTCCACGACGTACTCA; PFKFB3 forward, GGTACCGAATCAAGCAGAGC; PFKFB3 reverse, GCAGTAGGAGGACGAGTTGG.

Mathematical model

The incoherent feedforward model involving mTOR and a delayed protein phosphatase activity towards the APC/C was mathematically modelled using a set of ordinary differential equations (ODEs) as shown below:

  1. (1)

    dMTOR/dt = 1/τmTOR(\({S}^{({n}_{1})}/({k}_{1}^{({n}_{1})}+{S}^{({n}_{1})})-{\rm{m}}{\rm{T}}{\rm{O}}{\rm{R}}\))

  2. (2)

    dPP/dt = 1/τPP(\({S}^{({n}_{2})}/({k}_{2}^{({n}_{2})}+{S}^{({n}_{2})})-{\rm{PP}}\))

  3. (3)

    dpCDH1/dt = 1/τpCDH1(\(({{\rm{m}}{\rm{T}}{\rm{O}}{\rm{R}}}^{({n}_{3})}/({k}_{3}^{({n}_{3})}+{{\rm{m}}{\rm{T}}{\rm{O}}{\rm{R}}}^{({n}_{3})}))({k}_{4}^{({n}_{4})}/\)\(({k}_{4}^{({n}_{4})}+{{\rm{P}}{\rm{P}}}^{({n}_{4})}))-{\rm{p}}{\rm{C}}{\rm{D}}{\rm{H}}1\))

  4. (4)

    dAPC/dt = 1/τAPC(\({k}_{5}^{({n}_{5})}/({k}_{5}^{({n}_{5})}+{\rm{p}}{\rm{C}}{\rm{D}}{\rm{H}}{1}^{({n}_{5})})-{\rm{A}}{\rm{P}}{\rm{C}}\))

  5. (5)

    dGEMININ/dt = 1/τGEMININ(\({k}_{6}^{({n}_{6})}/({k}_{6}^{({n}_{6})}+{\rm{A}}{\rm{P}}{{\rm{C}}}^{({n}_{6})})-{\rm{G}}{\rm{E}}{\rm{M}}{\rm{I}}{\rm{N}}{\rm{I}}{\rm{N}}\)).

The parameters for the model were as follows: k1 = 0.2, n1 = 1, tmTOR = 0.5; k2 = 0.2, n2 = 1, tPP = 0.5; k3 = 0.3, n3 = 1, tpCDH1 = 0.5; k4 = 0.2, n4 = 2, tAPC = 0.5; k5 = 0.8, n5 = 1, tGEMININ = 0.3; k6 = 0.4, n6 = 3.

The initial conditions for the model were as follows: mTOR = 0, PP = 0, pCDH1 = 0, APC = 1, GEMININ = 0.

The following notation is used: S, mitogens (for example, serum); mTOR, mTOR activity; PP, protein phosphatase activity; pCDH1, phosphorylated CDH1; APC, APC/C activity; GEMININ, APC/C substrate levels (for example, geminin).

Each system of ODEs was solved in RStudio (v.1.3.1093) using the ode function (from the deSolve R package) using the LSODA algorithm. Most parameters were chosen on the basis of previous models9,42, but mTOR and phosphatase activation kinetics were chosen to match data from this study. To model the effect of mitogen stimulation, the initial conditions of the model were set as listed above and the model was solved for S = 3. To model the delay in protein phosphatase activity as measured experimentally, the PP term was kept at zero until 4 h after mitogen stimulation.

In vitro purification of CDH1

Baculovirus-induced expression of 3×Myc–6×His–CDH1 wild type and variants was performed by infecting Trichoplusia ni cells in ESF921 medium (Expression Systems). All purification steps were completed at 4 °C. Cells were collected about 2.5 days later, pelleted and resuspended in 20 ml of lysis buffer (20 mM HEPES pH 8.0, 100 mM AmSO4, 2.5% glycerol, 10 mM imidazole supplemented with 10 µg ml−1 leupeptin, 20 µg ml−1 aprotinin, 5 U ml−1 benzonase, 2 mM benzamidine, 2.5 mM PMSF and 1 Roche EDTA-free protease inhibitor tablet per 50 ml buffer) per litre. Cells were lysed by sonication and clarified by centrifugation at 30,000g for 1 h. The lysates were incubated in batch with Ni-NTA resin (Genesee Scientific) for 1 h before centrifugation of beads at 500g for 10 min. After resuspending and washing the resin with 10 column volumes of wash buffer (20 mM HEPES pH 7.0, 100 mM AmSO4, 2.5% glycerol and 10 mM imidazole), CDH1 was eluted with wash buffer supplemented with 300 mM AmSO4 and 250 mM imidazole. The affinity tags were removed by the addition of HRV-3C protease for 1 h on ice. The protein solution was diluted back to 100 mM AmSO4 with wash buffer lacking salt or imidazole and further purified by cation-exchange chromatography with SP-Sepharose resin (Thermo Fisher Scientific). Protein was eluted with 20 mM HEPES pH 7.0, 100 mM AmSO4, 400 mM NaCl, 2.5% glycerol and 2 mM dithiothreitol and flash frozen with liquid nitrogen in small aliquots.

Protein digestion

Recombinant protein (500 ng) was digested by Arg-C (Promega) at a ratio of 1:50 (Promega) and incubated overnight at 37 °C. The digested peptide samples were acidified by formic acid to a final concentration of 1% and desalted using Pierce peptide desalting columns according to the manufacturer’s protocol (Thermo Fisher Scientific). Peptides were eluted from the columns using 50% acetonitrile/0.1% formic acid, vacuum centrifuged to dry and stored at −80 °C until analysed by MS.

MS acquisition and data analysis

Dried peptide fractions were reconstituted in 0.1% TFA and subjected to nanoflow liquid chromatography (Thermo Ultimate 3000 RSLC nano LC system, Thermo Fisher Scientific) coupled to an Orbitrap Eclipse mass spectrometer (Thermo Fisher Scientific). Peptides were separated using a low-pH gradient using a 5–50% acetonitrile over 120 min in mobile phase containing 0.1% formic acid at a flow rate of 300 nl min−1. Full MS1 scans were performed in the Orbitrap at a resolution of 120,000 with an ion accumulation target set at 4 × 105 and a max IT set at 50 ms over a mass range of 400–1,600 m/z. Ions with determined charge states between 2 and 5 were selected for MS2 scans in the orbitrap with HCD fragmentation (NCE 30%; maximum injection time, 22 ms; AGC 5 × 104) at a resolution of 15,000.

Acquired MS/MS spectra were searched against FZK-Human fasta along with a contaminant protein database, using a SEQUEST and Fixed Value PSM Validator in the Proteome Discoverer v.2.4 software (Thermo Fisher Scientific). The precursor ion tolerance was set at 10 ppm and the fragment ions tolerance was set at 0.02 Da along with methionine oxidation and phosphorylation of serine, threonine and tyrosine included as dynamic modification. Arg-C was specified as the proteolytic enzyme, with up to two missed cleavage sites allowed. The HCD fragmentation pattern of the peptide [KGLFT*YSLSTKR] is shown. The red colour peaks shown in Extended Data Fig. 5 represent the matched b+ ion from the peptide. The blue colour peaks represent the y+ ions from the fragmented peptide. Peptide fragmentation ladder confirms the sequence of the peptide along with phosphorylation site of Thr129. Furthermore, the neutral loss of the labile phosphate group from Thr129 confirms the phosphorylation site, shown as the yellow highlighted peak in the spectra.

Sample preparation for metabolomics

Cells were serum-starved for 48 h to induce quiescence. After starvation, cells were transfected with either empty vector or CDH1(T129A). The medium was replaced with fresh starvation medium at 6 h after transfection. Cells were washed twice with 1× PBS 24 h after transfection and the medium was replaced with glucose-free starvation medium for 1 h. Cells were then incubated with either standard starvation medium or mitogen-rich medium containing dialysed horse serum supplemented with labelled glucose (Cambridge Isotope Laboratories, CLM-1396-2). Cells were washed with 1× PBS, placed on ice, and collected by scraping followed by quick freezing in liquid nitrogen for subsequent analysis.

Reversed-phase ion-pairing LC–MS/MS analysis for cell 13C6-glucose isotope tracing

The unlabelled glycolytic metabolite reference compounds were purchased from Sigma-Aldrich. OmniSolv LC–MS grade acetonitrile and methanol were obtained from EMD Millipore. Tributylamine (TBA), LC–MS grade acetic acid and formic acid were purchased from Thermo Fisher Scientific. All chemicals and solvents used in this study were HPLC or reagent grade unless otherwise noted.

Metabolite extraction was performed by adding 200 µl chilled 80% methanol–water solution to the cell pellet as previously described43. The sample was vortexed vigorously for 30 s and centrifuged at 14,000g for 10 min. Then, 50 µl supernatant was transferred to an autosampler vial. The sample was dried with the SpeedVac vacuum concentrator (Thermo Fisher Scientific) and then reconstituted in 60 µl 3% (v/v) methanol in water. Then, 10 µl sample was injected for reversed-phase ion-pairing LC–MS/MS analysis. The LC–MS/MS analysis was performed using the Thermo TSQ Quantiva triple quadrupole mass spectrometer (Thermo Fisher Scientific) coupled to the NexeraXR LC system (Shimadzu Scientific Instruments). Both the HPLC and mass spectrometer were controlled by the Xcalibur software v.4.1 (Thermo Fisher Scientific). Reversed-phase ion-pairing liquid chromatography was carried out on a 100-mm-long, 2.1-mm-inner-diamter Synergi Hydro-RP C18 column with 2.5 µm particles and a 100 Å pore size (Phenomenex) and kept at 40 °C. The mobile phase, operating at a flow rate of 200 µl min−1, consisted of 10 mM TBAA in water as solvent A and methanol as solvent B. For the current analysis, a linear gradient was held at a B/A solvent ratio 3:97 for 3 min, followed by a B/A solvent ratio of 80:20 for 14 min. After washing with 98% B for 3 min, the column was re-equilibrated with a mobile-phase composition B/A of 3:97 for 10 min before the next injection. The general MS conditions were as follows: source: ESI; ion polarity: negative; spray voltage: 2,500 V; sheath and auxiliary gas: nitrogen; sheath gas pressure: 40 arbitrary units; auxiliary gas pressure: 5 arbitrary units; ion transfer capillary temperature, 350 °C; scan type: selected reaction monitoring (SRM); collision gas: argon; collision gas pressure: 2 mTorr. The 13C6-glucose isotope tracing of the targeted cell glycolysis isotopomer/isotopolog analysis peak identifications and integrations was carried out using Xcalibur Quan Browser (Thermo Fisher Scientific). The SRM conditions and natural isotope abundance corrections analyses were adapted from the previous publications44,45. The final peak area data were normalized to the sample protein concentration.

Statistical analysis and reproducibility

Statistical analyses were performed in MATLAB (MathWorks, vR2020b) and Prism (GraphPad 9, v.9.2.0). Specific statistical tests used are noted in the figure legends. No statistical method was used to determine sample size. No data were excluded from the analyses. The experiments were not randomized, but unbiased, automated analysis was used to ensure that observer bias did not influence the experimental results.

Reporting summary

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