Glutamine Flux Imaging Using Genetically Encoded Sensors

Genetically encoded sensors allow real-time monitoring of biological molecules at a subcellular resolution. A tremendous variety of such sensors for biological molecules became available in the past 15 years, some of which became indispensable tools that are used routinely in many laboratories.One of the exciting applications of genetically encoded sensors is the use of these sensors in investigating cellular transport processes. Properties of transporters such as kinetics and substrate specificities can be investigated at a cellular level, providing possibilities for cell-type specific analyses of transport activities. In this article, we will demonstrate how transporter dynamics can be observed using genetically encoded glutamine sensor as an example. Experimental design, technical details of the experimental settings, and considerations for post-experimental analyses will be discussed.     

Optical sensors for monitoring dynamic changes of intracellular metabolite levels in mammalian cells

Knowledge of the in vivo levels, distribution and flux of ions and metabolites is crucial to our understanding of physiology in both healthy and diseased states. The quantitative analysis of the dynamics of ions and metabolites with subcellular resolution in vivo poses a major challenge for the analysis of metabolic processes. Genetically encoded F?rster resonance energy transfer (FRET) sensors can be used for real-time in vivo detection of metabolites. FRET sensor proteins, for example, for glucose, can be targeted genetically to any cellular compartment, or even to subdomains (e.g., a membrane surface), by adding signal sequences or fusing the sensors to specific proteins. The sensors can be used for analyses in individual mammalian cells in culture, in tissue slices and in intact organisms. Applications include gene discovery, high-throughput drug screens or systematic analysis of regulatory networks affecting uptake, efflux and metabolism. Quantitative analyses obtained with the help of FRET sensors for glucose or other ions and metabolites provide valuable data for modeling of flux. Here we provide a detailed protocol for monitoring glucose levels in the cytosol of mammalian cell cultures through the use of FRET glucose sensors; moreover, the protocol can be used for other ions and metabolites and for analyses in other organisms, as has been successfully demonstrated in bacteria, yeast and even intact plants. The whole procedure typically takes ～4 d including seeding and transfection of mammalian cells; the FRET-based analysis of transfected cells takes ～5 h.     

Transfer of glutamine between astrocytes and neurons

The export of glutamine from astrocytes, and the uptake of glutamine by neurons, are integral steps in the glutamate-glutamine cycle, a major pathway for the replenishment of neuronal glutamate. We review here the functional and molecular identification of the transporters that mediate this transfer. The emerging picture of glutamine transfer in adult brain is of a dominant pathway mediated by system N transport (SN1) in astrocytes and system A transport (SAT/ATA) in neurons. The participating glutamine transporters are functionally and structurally related, sharing the following properties: (a) unlike many neutral amino acid transporters which have proven to be obligate exchangers, these glutamine transporters mediate net substrate transfer energized by coupling to ionic gradients; (b) they are sensitive to small pH changes in the physiological range; (c) they are susceptible to adaptive and humoral regulation; (d) they are related structurally to the AAAP (amino acid and auxin permeases) family of transporters. A key difference between SN1 and the SAT/ATA transporters is the ready reversibility of glutamine fluxes via SN1 under physiological conditions, which allows SN1 both to sustain a glutamine concentration gradient in astrocytes and to mediate the net outward flux of glutamine. It is likely that the ASCT2 transporter, an obligate exchanger of neutral amino acids, displaces the SN1 transporter as the main carrier of glutamine export in proliferating astrocytes.     

Lactate promotes glutamine uptake and metabolism in oxidative cancer cells

Oxygenated cancer cells have a high metabolic plasticity as they can use glucose, glutamine and lactate as main substrates to support their bioenergetic and biosynthetic activities. Metabolic optimization requires integration. While glycolysis and glutaminolysis can cooperate to support cellular proliferation, oxidative lactate metabolism opposes glycolysis in oxidative cancer cells engaged in a symbiotic relation with their hypoxic/glycolytic neighbors. However, little is known concerning the relationship between oxidative lactate metabolism and glutamine metabolism. Using SiHa and HeLa human cancer cells, this study reports that intracellular lactate signaling promotes glutamine uptake and metabolism in oxidative cancer cells. It depends on the uptake of extracellular lactate by monocarboxylate transporter 1 (MCT1). Lactate first stabilizes hypoxia-inducible factor-2α (HIF-2α), and HIF-2α then transactivates c-Myc in a pathway that mimics a response to hypoxia. Consequently, lactate-induced c-Myc activation triggers the expression of glutamine transporter ASCT2 and of glutaminase 1 (GLS1), resulting in improved glutamine uptake and catabolism. Elucidation of this metabolic dependence could be of therapeutic interest. First, inhibitors of lactate uptake targeting MCT1 are currently entering clinical trials. They have the potential to indirectly repress glutaminolysis. Second, in oxidative cancer cells, resistance to glutaminolysis inhibition could arise from compensation by oxidative lactate metabolism and increased lactate signaling.     

Asymmetry of glutamine transporters in cultured neural cells

Transfer of glutamine between astrocytes and neurons is an essential part of the glutamate-glutamine cycle in the brain. Transport of glutamine was investigated in primary cultures of astrocytes and neurons and compared to glutamine transport in cell lines with glial and neuronal properties. Glutamine uptake in astrocytes was mainly mediated by general amino acid transporters with properties similar to ASCT2, LAT1, LAT2, SN1 and y(+)LAT2. In cultured neurons, transport activities were detected consistent with the presence of LAT1, LAT2 and y(+)LAT2, but the most prominent activity was a novel Na(+)-dependent glutamine transporter that could be inhibited by D-aspartate. The mRNA for system A isoforms ATA1 and ATA2 was detected in both neurons and astrocytes, but system A activity was only detected in neurons. ASCT2 on the other hand appeared to be astrocyte-specific. The cell lines F98 and 108CC-15, having astroglial and neuronal properties, respectively, expressed sets of glutamine transporters that were unrelated to those of the corresponding primary culture and are thus of limited use as models to study transfer of glutamine between astrocytes and neurons.     

Fluorescence Lifetime Readouts of Troponin-C-Based Calcium FRET Sensors: A Quantitative Comparison of CFP and mTFP1 as Donor Fluorophores

We have compared the performance of two Troponin-C-based calcium FRET sensors using fluorescence lifetime read-outs. The first sensor, TN-L15, consists of a Troponin-C fragment inserted between CFP and Citrine while the second sensor, called mTFP-TnC-Cit, was realized by replacing CFP in TN-L15 with monomeric Teal Fluorescent Protein (mTFP1). Using cytosol preparations of transiently transfected mammalian cells, we have measured the fluorescence decay profiles of these sensors at controlled concentrations of calcium using time-correlated single photon counting. These data were fitted to discrete exponential decay models using global analysis to determine the FRET efficiency, fraction of donor molecules undergoing FRET and calcium affinity of these sensors. We have also studied the decay profiles of the donor fluorescent proteins alone and determined the sensitivity of the donor lifetime to temperature and emission wavelength. Live-cell fluorescence lifetime imaging (FLIM) of HEK293T cells expressing each of these sensors was also undertaken. We confirmed that donor fluorescence of mTFP-TnC-Cit fits well to a two-component decay model, while the TN-L15 lifetime data was best fitted to a constrained four-component model, which was supported by phasor analysis of the measured lifetime data. If the constrained global fitting is employed, the TN-L15 sensor can provide a larger dynamic range of lifetime readout than the mTFP-TnC-Cit sensor but the CFP donor is significantly more sensitive to changes in temperature and emission wavelength compared to mTFP and, while the mTFP-TnC-Cit solution phase data broadly agreed with measurements in live cells, this was not the case for the TN-L15 sensor. Our titration experiment also indicates that a similar precision in determination of calcium concentration can be achieved with both FRET biosensors when fitting a single exponential donor fluorescence decay model to the fluorescence decay profiles. We therefore suggest that mTFP-based probes are more suitable for FLIM experiments than CFP-based probes.     

Glutamate transport,glutamine synthetase and phosphate-activated glutaminase in rat CNS white matter. A quantitative study

Glutamatergic signal transduction occurs in CNS white matter, but quantitative data on glutamate uptake and metabolism are lacking. We report that the level of the astrocytic glutamate transporter GLT in rat fimbria and corpus callosum was approximately 35% of that in parietal cortex; uptake of [3H]glutamate was 24 and 43%, respectively, of the cortical value. In fimbria and corpus callosum levels of synaptic proteins, synapsin I and synaptophysin were 15-20% of those in cortex; the activities of glutamine synthetase and phosphate-activated glutaminase, enzymes involved in metabolism of transmitter glutamate, were 11-25% of cortical values, and activities of aspartate and alanine aminotransferases were 50-70% of cortical values. The glutamate level in fimbria and corpus callosum was 5-6 nmol/mg tissue, half the cortical value. These data suggest a certain capacity for glutamatergic neurotransmission. In optic and trigeminal nerves, [3H]glutamate uptake was < 10% of the cortical uptake. Formation of [14C]glutamate from [U-14C]glucose in fimbria and corpus callosum of awake rats was 30% of cortical values, in optic nerve it was 13%, illustrating extensive glutamate metabolism in white matter in vivo. Glutamate transporters in brain white matter may be important both physiologically and during energy failure when reversal of glutamate uptake may contribute to excitotoxicity.     

Overexpression of taurine transporter in Chinese hamster ovary cells can enhance cell viability and product yield,while promoting glutamine consumption

Transporters mediate the uptake of nutrients such as amino acids and the excretion of metabolites. The fact that transporters play crucial roles in regulating cell metabolism suggests that they might be useful targets for cell engineering to enhance the yield and/or quality of monoclonal antibody (MAb) produced by CHO cells. The taurine transporter (TAUT) is stably expressed in CHO‐DXB11 cells and is upregulated late in the culture period. We found that forcing the overexpression of TAUT delayed apoptotic cell death, extending the culture period. Thus, under fed‐batch small‐culture conditions, CHO cells that expressed pHyg‐TAUT plasmid (TAUT/CHO cells), but not those that contained the null plasmid pHyg (HYG/CHO cells), produced more MAb (P < 0.01) and less lactate (P < 0.05). In a 1‐L bioreactor, a representative high‐yield TAUT/CHO cell line (T10) showed >80% viability for more than 1 month and a 47% increase in medium MAb concentration. In T10 cells, the upregulation of TNF‐α mRNA (an apoptosis marker) and the accumulation of ammonia late in the culture period were suppressed. Moreover, if an excess of taurine was added, T10 cells efficiently consumed glutamine but not other amino acids, so T10 cells may have gained a glutamine transporter‐like function. Because a considerable amount of metabolic energy is derived from glutamine, this active glutamine consumption in T10 cells might be a reason for the improved cell viability and MAb concentration. These results demonstrate that forcing the overexpression of TAUT in CHO cells can enhance cell culture performance and increase MAb titer. Biotechnol. Bioeng. 2010;107: 998–1003. © 2010 Wiley Periodicals, Inc.     

Molecular mechanisms of glutamine action

Glutamine is the most abundant free amino acid in the body and is known to play a regulatory role in several cell specific processes including metabolism (e.g., oxidative fuel, gluconeogenic precursor, and lipogenic precursor), cell integrity (apoptosis, cell proliferation), protein synthesis, and degradation, contractile protein mass, redox potential, respiratory burst, insulin resistance, insulin secretion, and extracellular matrix (ECM) synthesis. Glutamine has been shown to regulate the expression of many genes related to metabolism, signal transduction, cell defense and repair, and to activate intracellular signaling pathways. Thus, the function of glutamine goes beyond that of a simple metabolic fuel or protein precursor as previously assumed. In this review, we have attempted to identify some of the common mechanisms underlying the regulation of glutamine dependent cellular functions.     

Elucidating the effects of postinduction glutamine feeding on the growth and productivity of CHO cells

Inducible mammalian expression systems are increasingly being used for the production of valuable therapeutics. In such system, maximizing the product yield is achieved by carefully balancing the biomass concentration during the production phase and the specific productivity of the cells. These two factors are largely determined by the availability of nutrients and/or the presence of toxic waste metabolites in the culture environment. Glutamine is one of the most important components of cell culture medium, since this substrate is an important building block and source of energy for biomass and recombinant protein production. Its metabolism, however, ultimately leads to the formation of ammonia, a well known inhibitor of cellular growth and productivity. In this work, we show that nutrient feeding post‐induction can greatly enhance the product yield by alleviating early limitations encountered in batch. Moreover, varying the amount of glutamine in the feed yielded two distinct culture behaviors post‐induction; whereas excess glutamine allowed to reach greater cell concentrations, glutamine‐limited fed‐batch led to increased cell specific productivity. These two conditions also showed distinctive lactate metabolism. To further assess the physiological impact of glutamine levels on the cells, a comparative ¹³C‐metabolic flux analysis was conducted and a number of key intracellular fluxes were found to be affected by the amount of glutamine present in the feed during the production phase. Such information may provide useful clues for the identification of physiological markers of cell growth and productivity that could further guide the optimization of inducible expression systems. © 2014 American Institute of Chemical Engineers Biotechnol. Prog., 30:535–546, 2014     

Manganese disrupts astrocyte glutamine transporter expression and function

Glutamine (Gln) plays an important role in brain energy metabolism and as a precursor for the synthesis of neurotransmitter glutamate and GABA. Previous studies have shown that astrocytic Gln transport is impaired following manganese (Mn) exposure. The present studies were performed to identify the transport routes and the respective Gln transporters contributing to the impairment. Rat neonatal cortical primary astrocytes treated with Mn displayed a significant decrease in Gln uptake mediated by the principle Gln transporting systems, N and ASC. Moreover, systems N, ASC and L were less efficient in Gln export after Mn treatment. Mn treatment caused a significant reduction of both in mRNA expression and protein levels of SNAT3 (system N), SNAT2 (system A) and LAT2 (system L), and lowered the protein but not mRNA expression of ASCT2 (system ASC). Mn exposure did not affect the expression of the less abundant systems N transporter SNAT5 and the system L transporter LAT1, at either the mRNA or protein level. Hence, Mn-induced decrease of inward and outward Gln transport can be largely ascribed to the loss of the specific Gln transporters. Consequently, deregulation of glutamate homeostasis and its diminished availability to neurons may lead to impairment in glutamatergic neurotransmission, a phenomenon characteristic of Mn-induced neurotoxicity.     

Quantitative Comparison of Different Fluorescent Protein Couples for Fast FRET-FLIM Acquisition

The fluorescent-protein based fluorescence resonance energy transfer (FRET) approach is a powerful method for quantifying protein-protein interactions in living cells, especially when combined with fluorescence lifetime imaging microscopy (FLIM). To compare the performance of different FRET couples for FRET-FLIM experiments, we first tested enhanced green fluorescent protein (EGFP) linked to different red acceptors (mRFP1-EGFP, mStrawberry-EGFP, HaloTag (TMR)-EGFP, and mCherry-EGFP). We obtained a fraction of donor engaged in FRET (f_D) that was far from the ideal case of one, using different mathematical models assuming a double species model (i.e., discrete double exponential fixing the donor lifetime and double exponential stretched for the FRET lifetime). We show that the relatively low f_D percentages obtained with these models may be due to spectroscopic heterogeneity of the acceptor population, which is partially caused by different maturation rates for the donor and the acceptor. In an attempt to improve the amount of donor protein engaged in FRET, we tested mTFP1 as a donor coupled to mOrange and EYFP, respectively. mTFP1 turned out to be at least as good as EGFP for donor FRET-FLIM experiments because 1), its lifetime remained constant during light-induced fluorescent changes; 2), its fluorescence decay profile was best fitted with a single exponential model; and 3), no photoconversion was detected. The f_D value when combined with EYFP as an acceptor was the highest of all tandems tested (0.7). Moreover, in the context of fast acquisitions, we obtained a minimal f_D (mf_D) for mTFP1-EYFP that was almost two times greater than that for mCherry-EGFP (0.65 vs. 0.35). Finally, we compared EGFP and mTFP1 in a biological situation in which the fusion proteins were highly immobile, and EGFP and mTFP1 were linked to the histone H4 (EGFP-H4 and mTFP1-H4) in fast FLIM acquisitions. In this particular case, the fluorescence intensity was more stable for EGFP-H4 than for mTFP1-H4. Nevertheless, we show that mTFP1/EYFP stands alone as the best FRET-FLIM couple in terms of f_D analysis.     

The deuridylylation activity of Herbaspirillum seropedicae GlnD protein is regulated by the glutamine:2-oxoglutarate ratio

The nitrogen metabolism of Proteobacteria is controlled by the general Ntr system in response to nitrogen quality and availability. The PII proteins play an important role in this system by modulating the cellular metabolism through physical interaction with protein partners. Herbaspirillum seropedicae, a nitrogen-fixing bacterium, has two PII proteins paralogues, GlnB and GlnK. The interaction of H. seropedicae PII proteins with its targets is regulated by allosteric ligands and by reversible post-translational uridylylation. Both uridylylation and deuridylylation reactions are catalyzed by the same bifunctional enzyme, GlnD. The mechanism of regulation of GlnD activity is still not fully understood. Here, we characterized the regulation of deuridylylation activity of H. seropedicae GlnD in vitro. To this purpose, fully modified PII proteins were submitted to kinetics analysis of its deuridylylation catalyzed by purified GlnD. The deuridylylation activity was strongly stimulated by glutamine and repressed by 2-oxoglutarate and this repression was strong enough to overcome the glutamine stimulus of enzymatic activity. We also constructed and analyzed a truncated version of GlnD, lacking the C-terminal regulatory ACT domains. The GlnDΔACT protein catalyzed the futile cycle of uridylylation and deuridylylation of PII, regardless of glutamine and 2-oxoglutarate levels. The results presented here suggest that GlnD can sense the glutamine:2-oxoglutarate ratio and confirm that the ACT domains of GlnD are the protein sensors of environment clues of nitrogen availability.     

The kinetics of glutamine transport in bovine lymphocytes.

The transport of glutamine was examined in bovine peripheral lymphocytes which had been cultured in the presence or absence of Concanavalin A (Con A). Glutamine transport was mediated by a triphasic transport system in both cell populations. The calculated kinetic parameters were: Km 1.0, 4.7 and 12.7 mM and Vmax 4.5, 6.0 and 9.0 nmol/min per mg protein respectively. Con A augmented the capacity rather than the affinity of the glutamine transport systems (Vmax rates being 8.0, 12.2 and 38.0 nmol/min per mg protein respectively). Transporter I displayed Michaelis-Menton kinetics, while transporters II and III were co-operative carriers possessing Hill coefficients of 2.3 and 9.5 respectively. Preliminary studies using amino acid and ion inhibition studies suggested that transporter I was a system ASC-type carrier, transporter III a system L carrier, while the nature of transporter II was unclear.     

Type I diabetes affects skeletal muscle glutamine uptake in a fiber-specific manner

Skeletal muscle serves as the body's major glutamine repository, and releases glutamine at enhanced rates during diabetes, but whether all muscles are equally affected is unknown. System N(m) activity mediates most trans-sarcolemmal glutamine movement, and although two System N (SN) isoforms have been identified (SN1/sodium-coupled neutral amino acid transporter or System N and A transporters [SNAT]-3; and SN2/SNAT5), their expression in skeletal muscle remains controversial. Here, the impact of Type I diabetes on glutamine uptake and System N transporter expression were examined in fast- and slow-twitch skeletal muscle from spontaneously diabetic (BB/Wor-DP) rats. Net glutamine uptake in fast-twitch fibers was decreased 75%-95%, but enhanced more than 2-fold in slow-twitch muscle from diabetic animals relative to nondiabetic controls. Both SNAT3 and SNAT5 mRNA were expressed in both muscle fiber types and their abundance was unaffected by diabetes. This represents the first report of differential fiber-specific effects of diabetes on skeletal muscle glutamine transport and the co-expression of distinct System N transporters in skeletal muscle.     

Dynamics of growth and metabolism controlled by glutamine availability in Chinese hamster ovary cells

The physiology of animal cells is characterized by constantly changing environmental conditions and adapting cellular responses. Applied dynamic metabolic flux analysis captures metabolic dynamics and can be applied to industrially relevant cultivation conditions. We investigated the impact of glutamine availability or limitation on the physiology of CHO K1 cells in eight different batch and fed-batch cultivations. Varying glutamine availability resulted in global metabolic changes. We observed dose-dependent effects of glutamine in batch cultivation. Identifying metabolic links from the glutamine metabolism to specific metabolic pathways, we show that glutamine feeding results in its coupling to tricarboxylic acid cycle fluxes and in its decoupling from metabolic waste production. We provide a mechanistic explanation of the cellular responses upon mild or severe glutamine limitation and ammonia stress. The growth rate of CHO K1 decreased with increasing ammonia levels in the supernatant. On the other hand, growth, especially culture longevity, was stimulated at mild glutamine-limiting conditions. Flux rearrangements in the pyruvate and amino acid metabolism compensate glutamine limitation by consumption of alternative carbon sources and facilitating glutamine synthesis and mitigate ammonia stress as result of glutamine abundance.     

Determinants of glutamine dependence and utilization by normal and tumor-derived breast cell lines

A continual supply of the amino acid glutamine (GLN) may be necessary for cancerous cell growth. GLN plays a central role in multiple metabolic pathways and has long been considered an essential component of tissue culture media. However, the GLN requirements of tumor cell lines and the factors that determine a cell's need for GLN have not been comprehensively studied. Also, it remains unclear how various metabolic pathways contribute to GLN consumption. In the present study, possible determinants of GLN metabolism were examined in seven breast cell lines, two derived from immortalized normal tissue and five of tumor origin. These cells exhibited different dependencies on media GLN concentration for growth and a wide range of GLN utilization rates. GLN uptake was facilitated by a single, common transporter functionally defined as System ASC. However, the affinities for GLN exhibited by this transporter differed appreciably between cell lines. Furthermore, the concentration at which media GLN became a limiting factor for cellular proliferation correlated with transporter affinity. The origin of the cell lines was not a determinant of GLN metabolism because immortalized cells of nontumor origin exhibited GLN dependence and utilization rates comparable to those of tumor-derived cells. The rates of CO₂ production from GLN were similar for each cell lines. Rates of GLN disappearance and glutamate appearance in media were strongly correlated, with 32–80% of media GLN converted to glutamate. Both rates were directly affected by media cystine concentration, suggesting that a large portion of glutamate efflux was coupled with cystine import through the amino acid transport system X These results demonstrated that cell growth is a function of GLN influx and suggest that GLN is used to supply glutamate and cystine, perhaps for glutathione synthesis. J. Cell. Physiol. 176:166–178, 1998. © 1998 Wiley-Liss, Inc.