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Published in final edited form as: Curr Opin Cell Biol. 2013 Jul 24;25(6):10.1016/j.ceb.2013.07.002. doi: 10.1016/j.ceb.2013.07.002

Metabolic Regulation of the Cell Cycle

In Hye Lee 1,2, Toren Finkel 1
PMCID: PMC3836844  NIHMSID: NIHMS506565  PMID: 23890700

Abstract

There is a growing appreciation that metabolic signals are integrated and coupled to cell cycle progression. However, the molecular wiring that connects nutrient availability, biosynthetic intermediates and energetic balance to the core cell cycle machinery remains incompletely understood. In this review, we explore the recent progress in this area with particular emphasis on how nutrient and energetic status is sensed within the cell to ultimately regulate cell growth and division. The role these pathways play in normal cell function including stem cell biology is also discussed. Furthermore, we describe the growing appreciation that dysregulation of these pathways might contribute to a variety of pathological conditions including metabolic diseases and tumor formation.


The creation of two cells from one requires an enormous generation of new proteins, lipids and nucleic acids. As such, the decision of a cell to enter the cell cycle represents an energetic obligation, a sort of metabolic IOU. While the general mechanisms of cell cycle checkpoints has deservedly received considerable attention, much of the emphasis has been placed on molecules such as cyclin-dependent kinases (CDKs) and their well characterized cellular partners, the cyclins. Nonetheless, how this core machinery is integrated with the cell cycle dependent biosynthetic demands of the cell has, until recently, been largely neglected. Early gene expression studies suggested that the expression of metabolic enzymes appeared to be synchronized with certain discrete phases of cell cycle progression. For instance, using S. cerevisiae as a model, it was shown that many nuclear-encoded mitochondrial enzymes required for glycolysis and oxidative phosphorylation were induced in early G1[1]. A similar pattern was observed in this study for genes involved in fatty acid biosynthesis. Related studies, again using yeast as a model, demonstrated that there was also clear cell cycle regulation of the expression of genes involved in nutrient uptake and amino acid synthesis [2]. Thus, these early transcriptome studies established the notion that the biosynthetic machinery was, as might be expected, intimately coupled and coordinated with the cell cycle.

These initial observations were further enhanced by analyzing the growth of budding yeast under culture conditions where the pH, temperature and nutrient levels could be strictly regulated. Under such conditions, yeast cultures were observed to undergo spontaneous and periodic oscillations in oxygen consumption [3]. These yeast metabolic cycles (YMC) occurred over a time scale of 4–5 hours and corresponded to periodic and coordinated gene expression of roughly half of all yeast transcripts. Of the 100 or so genes that demonstrated the greatest periodicity, nearly two thirds were involved in mitochondrial function. Further analysis of this system revealed that each phase of the observed metabolic cycle could be equated with an equivalent classical phase of the cell cycle [3]. Subsequent analysis revealed that in addition to oxygen consumption exhibiting periodicity, oscillating cycles of biosynthetic components including amino acids, nucleotides, as well as, energetic intermediates such as NADP(H) and acetyl-CoA could also be observed [4].

These studies in simple organisms such as yeast have been supplemented with additional observations in higher organisms that appear to further link metabolism with the cell cycle. Work over the last two decades demonstrated that the E2F transcription factor family is critical for the G1/S transition by regulating the expression of a host of factors including thymidylate synthase, ribonucleotide reductase and dihydrofolate reductase [5]. More recent observations have further demonstrated that mice deficient in the E2F1 transcription factor exhibit altered energy metabolism and that the cdk4-Rb-E2F transcriptional network can repress mitochondrial oxidative metabolism [6*]. In a reciprocal fashion, increased levels of mitochondrial reactive oxygen species were shown to activate E2F1 [7*]. Additional studies in mice have also linked the cdk4-Rb-E2F pathway to a host of metabolic parameters including pancreatic β-cell size and function, skeletal muscle metabolism and white adipose cell function [8]. Similarly, mice engineered to be deficient in two CDK inhibitors (p21 and p27) developed marked obesity. For instance, compared to wild type mice, p21−/−p27−/− deficient mice were noted to have a nearly fourfold increase in the percentage of body fat [9]. These observations may extend to humans, since in genome wide association studies, certain loci of CDK inhibitors have been strongly associated with susceptibility to type II diabetes [10,11].

Sensing Energy Status

The establishment of a link between metabolism and growth suggests that the cell must have a way of sensing energetic status. Indeed, the simple observation that for most cells in culture, the withdrawal of extracellular nutrients (e.g. serum) results in a corresponding withdrawal from the cell cycle demonstrates this apparent connection. Considerable progress has been made in understanding how the cell senses its underlying metabolic state and how these energetic sensors are coupled to downstream effectors of the cell cycle. The prototypical intracellular sensor is AMP-activated protein kinase (AMPK). AMPK appears to exist in all eukaryotes in the form of a heterotrimeric complex composed of a catalytic α subunit and regulatory β and γ subunits. For many years, as it name suggest, the adenine nucleotide AMP was viewed as the intracellular activator of AMPK. Recent evidence suggests however that the more abundant nucleotide ADP may be the more important regulator during most energy-depleted conditions [12,13]. Activation of AMPK initiates a host of metabolic changes that can globally viewed as an attempt to restore energy homeostasis [14]. Among these changes are phosphorylation of a myriad of downstream targets that increase the uptake of substrates (e.g. glucose and fatty acids) and the corresponding inhibition of processes that consume biosynthetic intermediates (e.g. decrease in glycogen, cholesterol and protein synthesis). Activation of AMPK also leads to the phosphorylation of the tumor suppressor gene p53 (serine-15) with the subsequent activation of p53 and the induction of a p21waf1/cip1 mediated cell cycle arrest [15]. Subsequent studies suggested that AMPK can also regulate the phosphorylation and activity of p27, providing yet another way metabolic status can be coupled to cell growth or cell fate [16]. Another important target of AMPK is the mTOR pathway. TSC2, an upstream regulator of mTOR, and Raptor, a subunit of mTORC1 are both targets of AMPK [17,18].

The link between AMPK and mTOR adds to the growing appreciation that mTOR is also an important sensor of overall nutrient status. The mTOR protein is a large serine/threonine kinase that exists in two distinct protein complexes termed mTORC1 and mTORC2. Extracellular growth factors such as insulin and intracellular factors such as amino acids levels appear to regulate mTOR activation. While mTOR has been known for a long time to respond to changes in amino acids such as leucine, considerable progress has been made recently on understanding the precise mechanism and location for this sensing. Evidence suggests that levels of amino acids are sensed at the surface of lysosome and that mTOR is recruited to this organelle via and interaction between the mTORC1 component Raptor and the Rag family of GTPases [19,20]. The Rag GTPases appear in turn to be anchored to the lysosomal surface by a large scaffolding complex termed the Ragulator that acts as guanine nucleotide exchange factor (GEF) for the Rag GTPases [21**]. Additional elements of this signaling pathway include the vacuolar ATPase (v-ATPase) that is essential for maintaining the low pH of the lysosome [22]. Current models suggest that a rise in intra-lysosomal amino acids can be transmitted via an inside-out mechanism through the v-ATPase, that in turn, directly interacts and alters the activity of Rag-Ragulator complex (Figure 1). While the preponderance of work has been centered on amino acid sensing, there is a growing appreciation that this pathway may also respond to other energetic stresses including low glucose [23]. Once activated, mTOR appears to have hundreds of downstream targets that promote cell growth and cell cycle progression, including a newly defined role in coordinating pyrimidine synthesis with S-phase progression [24*]. Finally, there is growing evidence that specific amino acids can also regulate cell growth in an apparent mTOR-independent fashion [25,26].

Figure 1.

Figure 1

Activation of mTORC1 occurs at the lysosomal surface. Amino acid levels are sensed through an inside-out mechanism using the lysosomal V-ATPase. The sensing mechanism also includes the Ragulator complex, which acts as a guanine nucleotide exchange factor (GEF) for the Rag family of GTP binding proteins. The activity of mTOR is negatively regulated by AMPK that senses AMP and ADP levels during energy depleted conditions, or is activated by a variety of other energy sensors including LKB1.

Mitochondria and the cell cycle

While the withdrawal of serum from cultured cells is well known to inhibit DNA synthesis, it is perhaps less well appreciated that reductions in extracellular amino acids, glucose or even phosphate ions can cause a G0/G1 growth arrest [27]. One mediator of this nutrient or metabolic checkpoint appears to be the previously described AMPK-dependent activation of p53-mediated growth arrest, initially described in cultured cells deprived of glucose [15]. Subsequent studies suggested this pathway could be activated by other inducers of energetic stress such as disruption of mitochondrial electron transport, and this regulation appears to be conserved in lower organisms [28]. Interestingly, in Drosophila, mitochondrial dysfunction causes cell cycle arrest by at least two distinct pathways. One involves an AMPK-dependent, p53-mediated induction of Cyclin E degradation [28,29]. The other retrograde signaling pathway leading to G1 arrest involves the mitochondrial reactive oxygen species (ROS) dependent induction of the Drosophila p27 homolog Dacapo [30]. Removal of nutrients also stimulates the induction of autophagy. How this process is coordinated with cell cycle withdrawal is incompletely understood. Recent evidence suggests however that one way these processes are coupled is through the ability of the essential autophagy gene Atg7 to directly bind p53 and modulate the induction of p21waf1/cip1 under nutrient starved conditions [31*].

In the examples mentioned above, cell cycle arrest appears to be mediated by either a decline in bioenergetics (e.g. a rise in AMP or nutrient withdrawal) or by evidence of mitochondrial stress (e.g. increased ROS levels). In yeast, however, there is evidence that a reduction of mitochondrial DNA may be sufficient to induce G1 arrest [32*]. For instance, yeast lacking mitochondrial DNA underwent cell cycle arrest, while yeast engineered to express non-coding mitochondrial DNA did not display this cell cycle defect. These observations suggest that this cell cycle arrest was caused by the absence of mitochondrial DNA and not the absence of mitochondrial-encoded gene products. Enforcement of G1 arrest in the absence of mitochondrial DNA was mediated by Rad53, the yeast ortholog of the mammalian Chk2 kinase. These observations suggest that proteins such as ATM and Chk2 that signal cell cycle arrest following DNA damage, might also play a role in regulating mitochondrial-dependent DNA maintenance and checkpoints. Consistent with such a hypothesis, there is evidence that in mice and humans, ATM is required to maintain mitochondrial DNA copy number [33]. Furthermore, deletion of Chk2 in mice appears to limit some of the phenotypic alterations induced by either mitochondrial dysfunction or nutrient stress [31*,34].

In a potentially related manner, there is a growing appreciation for the role and influence of mitochondrial dynamics in cell cycle progression. Mitochondria can exist in a fragmented state, a fused, tubulated state, or as is more common for cells growing in culture, some mixture of both mitochondrial morphologies [35]. Early observations suggested that in yeast, at the beginning of S-phase, mitochondria could fuse into a large, connected network [36]. In mammalian cells, evidence suggests that as cells progress through G1, mitochondrial membrane potential and respiration markedly increases [37]. Furthermore, careful imaging of cells demonstrated that at the G1/S boundary, mitochondria appear to undergo a marked alteration in morphology, forming a giant, hyperfused and hyperpolarized network [38]. These mitochondrial changes appear to increase bioenergetic capacity and to regulate Cyclin E accumulation. Subsequent studies have demonstrated that elements of the mitochondrial fusion machinery appear to be degraded in a cell cycle dependent fashion [39]. Taken together, these observations suggest a growing connection between the cell cycle and the morphology of mitochondria (Figure 2). This connection may extend to cell growth in general. For instance, the Hippo pathway in Drosophila is an important regulator of cell size and growth. In flies, this pathway consists of the proteins Hippo/Warts/Yorkie, with nuclear Yorkie acting as the transcriptional effector of the cellular overgrowth phenotype. Interestingly, activation of this pathway in Drosophila has been recently shown to increase mitochondrial number and augment mitochondrial fusion [40**]. This phenomenon appears to be at least partially conserved, as this study demonstrated that expression of YAP2, a mammalian ortholog of Yorkie, also appears to increase mitochondrial fusion in certain mammalian cell lines. Interestingly, other reports suggest that activation of the Hippo pathway may be a downstream effector of mitochondrial dysfunction [41**]. Given the growing link between alterations in the Hippo pathway and tumorgenesis [42], it is tempting to speculate that these recent observations connecting this pathway as both an upstream and downstream effector of mitochondrial function may at least partially explain some of the unique aspects of cancer metabolism.

Figure 2.

Figure 2

Mitochondrial dynamics and the cell cycle. Mitochondria can undergo profound alterations in their morphology. Fusion results in elongated, tubulated mitochondria, while fission results in mitochondria that are fragmented. Recent evidence suggests that mitochondrial morphology is coordinated with cell cycle phases with fused mitochondria occurring at the G1/S boundary and fragmented mitochondria occurring more frequently during G2/M.

Metabolism and stem cell biology

The metabolic regulation of cell cycle progression may have particular relevance in the biology of certain highly specialized cell types. The last few years has seen a particular interest in uncovering the role of metabolism in stem cell biology. Mice deficient in the ATM kinase, the Polycomb gene Bmi1, or the FoxO family of transcription factors, demonstrate an increase in ROS levels or a decline in mitochondrial function that has been linked to a corresponding alteration in the function of hematopoietic stem cells (HSCs) and/or neural stem cells [34,4345]. Similarly, evidence suggests that HSCs conditionally deleted for LKB1 demonstrate impaired stem cell quiescence [4648]. LKB1, an upstream regulator of AMPK, is a serine/threonine kinase that regulates cell growth in response to nutrient availability. Under normal conditions, approximately 90% of HSCs within the bone marrow are in a G0, non-cycling condition. This fraction was observed to be much higher in LKB1−/− HSCs, leading to rapid depletion of the stem cell compartment. While these effects appeared independent of AMPK and mTOR, LKB1−/− HSCs had clear alterations in mitochondrial function and bioenergetics. This suggests a poorly understood metabolic requirement to maintain stem cell quiescence (Figure 3). Interestingly, metabolic status also appears to regulate entry and exit from quiescence in yeast [49]. Recently, a metabolomic analysis of mouse HSCs revealed that bone marrow cells with long term repopulating ability exhibited increased levels of pyruvate and evidence of reduced pyruvate dehydrogenase (PDH) activity [50*]. PDH activity is normally regulated, in part, by the family of PDH kinases (PDKs). The phosphorylation of PDH by PDK family members results in a reduction of PDH activity thereby shunting carbohydrate metabolism away from the mitochondria. As such, this recent observation of decreased PDH activity is consistent with previous observations that HSCs have reduced mitochondrial metabolism and a heavy reliance on cytosolic glycolysis [51]. Furthermore, in this recent study, genetic manipulations of the PDKs impaired quiescence in HSCs, again suggesting a tight correlation between metabolism, in this case glycolytic flux, and the ability of HSCs to maintain their normally quiescent phenotype [50*]. Finally, the relationship between metabolism and cell cycle progression is not confined to stem cell biology. For instance, there is a growing appreciation that metabolic checkpoints are important regulators of immune cells [52]. Furthermore, evidence suggests that distinct metabolic programs such as cytosolic glycolysis or mitochondrial fatty acid metabolism may regulate T cell fate [5355].

Figure 3.

Figure 3

Stem cell biology and metabolism. Various recent mouse models have linked the intracellular metabolism of stem cells with certain specific alterations. For instance, mice deficient in a variety of kinases (ATM), transcription factors (FoxO family), or chromatin modifiers (Bmi1) exhibit alterations in mitochondrial function or redox homeostasis. Similarly, disruption of genes involved in energy sensing (LKB1) or regulation of metabolic enzymes (PDK2 and PDK4) alter stem cell metabolism. These models in turn appear to exhibit profound defects in stem cell function including alterations in stem cell self-renewal capacity or maintenance of quiescence.

Concluding Remarks and Future Perspectives

In conclusion, while incompletely understood, cell cycle progression is tightly coupled to intracellular metabolism. Emerging evidence suggests that intracellular kinases such as AMPK and mTOR can sense energy intermediates such as AMP, ADP and amino acids and subsequently direct how biosynthetic intermediates are used and whether the cell should arrest, grow or divide. Mitochondrial function and morphology is also apparently coupled to cell cycle dynamics with fused mitochondria apparently essential for the G1/S transition. Perhaps even more exciting, we are beginning to see the outlines as to how metabolism may be uniquely altered and regulated within specialized cells. In this regard, studies with various stem cell populations and immune cells hint that biasing the cell towards specific metabolic pathways can in turn alter cell growth and fate. Therapies aimed at modulating metabolism therefore holds promise as a means to alter stem cell behavior and function, as well as augmenting or dampening the immune response. While the health benefits of caloric restriction are well known, a deeper understanding of intracellular bioenergetics may allow targeted interventions that directly modulate specific metabolic pathways in key regulatory cell types. Furthermore, a deeper understanding of these pathways may provide insight into a host of human diseases. For instance, it seems increasingly likely that there is an important mechanistic link between the dysregulation of cell cycle checkpoints and the alterations in metabolism often found together within tumor cells. Whether the metabolic changes are primary or secondary, and whether these changes are upstream, downstream or independent of the observed alterations in cell cycle parameters remains largely unknown. Nonetheless, the recent renewed interest in metabolism suggests that many of these questions should soon have answers.

Acknowledgments

We are grateful to Ilsa Rovira for help with the figures. This work was supported by NIH Intramural funds.

Footnotes

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