Sequential metabolic enzymes in glucose metabolism have long been hypothesized to form multienzyme complexes that regulate glucose flux in living cells. However, it has been challenging to directly observe these complexes and their functional roles in living systems. In this work, we have used wide-field and confocal fluorescence microscopy to investigate the spatial organization of metabolic enzymes participating in glucose metabolism in human cells. We provide compelling evidence that human liver-type phosphofructokinase 1 (PFKL), which catalyzes a bottleneck step of glycolysis, forms various sizes of cytoplasmic clusters in human cancer cells, independent of protein expression levels and of the choice of fluorescent tags. We also report that these PFKL clusters colocalize with other rate-limiting enzymes in both glycolysis and gluconeogenesis, supporting the formation of multienzyme complexes. Subsequent biophysical characterizations with fluorescence recovery after photobleaching and FRET corroborate the formation of multienzyme metabolic complexes in living cells, which appears to be controlled by post-translational acetylation on PFKL. Importantly, quantitative high-content imaging assays indicated that the direction of glucose flux between glycolysis, the pentose phosphate pathway, and serine biosynthesis seems to be spatially regulated by the multienzyme complexes in a cluster-size-dependent manner. Collectively, our results reveal a functionally relevant, multienzyme metabolic complex for glucose metabolism in living human cells.

We have recently demonstrated that the rate-limiting enzymes in human glucose metabolism organize into cytoplasmic clusters to form a multienzyme complex, the glucosome, in at least three different sizes. Quantitative high-content imaging data support a hypothesis that the glucosome clusters regulate the direction of glucose flux between energy metabolism and building block biosynthesis in a cluster size-dependent manner. However, direct measurement of their functional contributions to cellular metabolism at subcellular levels has remained challenging. In this work, we develop a mathematical model using a system of ordinary differential equations, in which the association of the rate-limiting enzymes into multienzyme complexes is included as an essential element. We then demonstrate that our mathematical model provides a quantitative principle to simulate glucose flux at both subcellular and population levels in human cancer cells. Lastly, we use the model to simulate 2-deoxyglucose-mediated alteration of glucose flux in a population level based on subcellular high-content imaging data. Collectively, we introduce a new mathematical model for human glucose metabolism, which promotes our understanding of functional roles of differently sized multienzyme complexes in both single-cell and population levels.

Sequential metabolic enzymes have long been hypothesized to form multienzyme metabolic complexes to regulate metabolic flux in cells. Although in vitro biochemistry has not been much fruitful to support the hypothesis, advanced biophysical technologies have successfully resurrected the hypothesis with compelling experimental evidence. As biochemistry has always evolved along with technological advancement over the century (e.g. recombinant protein expression, sitedirected mutagenesis, advanced spectroscopic and structural biology techniques, etc), there has been growing interests in advanced imaging-based biophysical methods to explore enzymes inside living cells. In this work, we describe how we visualize two phase-separated biomolecular condensates of multienzyme metabolic complexes that are associated with de novo purine biosynthesis and glucose metabolism in living human cells and how imaging-based data are quantitatively analyzed to advance our knowledge of enzymes and their assemblies in living cells. Therefore, we envision that the framework we describe here would be the starting point to investigate other metabolic enzymes and their assemblies in various cell types with an unprecedented potential to comprehend enzymes and their network in native habitats.

Glucose metabolism is biochemically intertwined between energy metabolism and building block biosynthesis in living cells. However, it has not been investigated yet how its metabolic network is orchestrated to govern glucose flux in space and time. Since we reported that human enzymes in glucose metabolism are spatially organized into metabolically active membraneless compartments (i.e., glucosomes), we have employed lattice light sheet microscopic imaging and other biophysical and biochemical techniques to understand their functional significance in cellular metabolism. Now, we demonstrated that glucosome assemblies behave like liquid droplets in human cells and thus reversibly respond to environmental changes. In addition, we characterized a molecular architecture of the glucosome, which appears to be constructed from higher-ordered oligomeric structures of its scaffolder enzyme along with transient enzyme-enzyme interactions. Importantly, we found that enzymatic compositions of glucosomes are altered when they are spatially in proximity to mitochondria to functionally couple glycolysis with mitochondrial metabolism in human cells. Collectively, we envision that the subcellular localization-function relationship between glucosomes and mitochondria may represent one of fundamental principles by which 4-dimensional metabolic networks are not only dynamically but also efficiently regulated in living human cells.One Sentence SummaryInvestigation of a 4D functional network of glucose metabolism uncovers a fundamental principal of subcellular metabolic regulation in human cells.

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Glucose metabolism has been studied extensively to understand functional interplays between metabolism and a cell cycle. However, our understanding of cell cycle-dependent metabolic adaptation particularly in human cells remains largely elusive. Meanwhile, human enzymes in glucose metabolism are shown to functionally organize into three different sizes of a multienzyme metabolic assembly, the glucosome, to regulate glucose flux in a size-dependent manner. Here, using fluorescence single-cell imaging techniques, we discover that glucosomes spatiotemporally oscillate during a cell cycle in an assembly size-dependent manner. Importantly, their oscillation at single-cell levels is in accordance with functional contributions of glucose metabolism to cell cycle progression at a population level. Collectively, we demonstrate functional oscillation of glucosomes during cell cycle progression and thus their biological significance to human cell biology.

A macromolecular complex of the enzymes involved in human de novo purine biosynthesis, the purinosome, has been shown to consist of a core assembly to regulate the metabolic activity of the pathway. However, it remains elusive whether the core assembly itself can be selectively controlled in the cytoplasm without promoting the purinosome. Here, we reveal that pharmacological inhibition of the cytoplasmic activity of 3-phosphoinositide-dependent protein kinase 1 (PDK1) selectively promotes the formation of the core assembly, but not the purinosome, in cancer cells. However, alternative signaling cascades that are associated with the plasma membrane-bound PDK1 activity, including Akt-mediated cascades, regulate neither the core assembly nor the purinosome in our conditions. Along with immunofluorescence microscopy and a knock-down study against PDK1 using small interfering RNAs, we reveal that cytoplasmic PDK1-associated signaling pathways regulate subcellular colocalization of three enzymes that form the core assembly of the purinosome in an Akt-independent manner. Collectively, this study reveals a new mode of compartmentalization of purine biosynthetic enzymes controlled by spatially resolved signaling pathways.

Enzymes in glucose metabolism have been subjected to numerous studies, revealing the importance of their biological roles during the cell cycle. However, due to the lack of viable experimental strategies for measuring enzymatic activities particularly in living human cells, it has been challenging to address whether their enzymatic activities and thus anticipated glucose flux are directly associated with cell cycle progression. It has remained largely elusive how human cells regulate glucose metabolism at a subcellular level to meet the metabolic demands during the cell cycle. Meanwhile, we have characterized that rate-determining enzymes in glucose metabolism are spatially organized into three different sizes of multienzyme metabolic assemblies, termed glucosomes, to regulate the glucose flux between energy metabolism and building block biosynthesis. In this work, we first determined using cell synchronization and flow cytometric techniques that enhanced green fluorescent protein-tagged phosphofructokinase is adequate as an intracellular biomarker to evaluate the state of glucose metabolism during the cell cycle. We then applied fluorescence single-cell imaging strategies and discovered that the percentage of Hs578T cells showing small-sized glucosomes is drastically changed during the cell cycle, whereas the percentage of cells with medium-sized glucosomes is significantly elevated only in the G1 phase, but the percentage of cells showing large-sized glucosomes is barely or minimally altered along the cell cycle. Should we consider our previous localization−function studies that showed assembly size-dependent metabolic roles of glucosomes, this work strongly suggests that glucosome sizes are modulated during the cell cycle to regulate glucose flux between glycolysis and building block biosynthesis. Therefore, we propose the size-specific modulation of glucosomes as a behind-the-scenes mechanism that may explain functional association of glucose metabolism with the cell cycle and, thereby, their metabolic significance in human cell biology.