Literature DB >> 22641636

Perspectives on: SGP symposium on mitochondrial physiology and medicine: the renaissance of mitochondrial pH.

Jaime Santo-Domingo1, Nicolas Demaurex.   

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Year:  2012        PMID: 22641636      PMCID: PMC3362525          DOI: 10.1085/jgp.201110767

Source DB:  PubMed          Journal:  J Gen Physiol        ISSN: 0022-1295            Impact factor:   4.086


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The generation of a proton gradient across the inner mitochondrial membrane (IMM) is an essential energy conservation event that couples the oxidation of carbohydrates and fat to the synthesis of ATP. Studies in isolated mitochondria have established that the chemical gradient for protons (ΔpH) and the mitochondrial membrane potential (ΔΨ) contribute independently to the proton-motive force (Δp) that drives the synthesis of ATP. Because ΔΨ contributes most of the Δp and can be easily measured in intact cells with fluorescent dyes, most studies ignore the contribution of ΔpH and only record changes in ΔΨ to track the metabolic state of mitochondria. ΔpH, however, drives the fluxes of metabolic substrates required for mitochondrial respiration and the activity of electroneutral ion exchangers that maintain mitochondria osmolarity and volume, and recent studies indicate that the mitochondrial pH (pHmito) plays an important and underappreciated role in physiological and pathological situations such as apoptosis, neurotransmission, and insulin secretion. In this Perspective, we discuss the putative roles of the pHmito and review the different techniques used to measure pHmito and ΔpH in isolated mitochondria and in intact cells, focusing on our recent results obtained with genetically encoded pH-sensitive indicators. These measurements have revealed that the pHmito is in dynamic equilibrium with the cytosolic pH and that spontaneous pHmito elevations coinciding with ΔΨ drops occur in single mitochondria. Unlike the “superoxide flashes” reported with a pH-sensitive circularly permuted YFP (cpYFP), these “pH flashes” preserve the Δp during spontaneous fluctuations in ΔΨ; therefore, we propose that the flashes are energy conservation events that reflect the intrinsic properties of the mitochondrial proton circuit.

Introduction

Mitochondria are multifunctional organelles involved in energy conversion, lipid metabolism, heat production, Ca2+ signaling, reactive oxygen species (ROS) production, and apoptosis. All of these functions rely on the ability of mitochondria to move protons across their inner membrane during oxidative phosphorylation (OXPHOS), the process that couples the oxidation of energetic substrates to the synthesis of ATP. According to the chemiosmotic theory first postulated by Mitchell (1975), the free energy (ΔG) released by the oxidation of highly reduced energetic substrates is used by the complexes I, III, and IV of the electron transport chain to generate a proton gradient across the IMM. The energy stored in the proton gradient is then used to drive the activity of the ATP synthase (complex V) that catalyzes the conversion of ADP to ATP within the mitochondrial matrix. The importance of mitochondrial proton transport is highlighted by the retention of genes coding for OXPHOS subunits within the mitochondrial genome. Mitochondria are endosymbiotic organelles, and virtually all of the ∼1,500 genes required to build a functional mitochondria have been transferred to the chromosomes of the host cell, except for those coding for 13 polypeptides of the OXPHOS subunits, plus the ribosomal and transfer RNAs required for their synthesis. The 13 mitochondrial-encoded proteins include seven subunits of the respiratory chain complex I, one of complex III, three of complex IV, and two of the complex V, i.e., all the respiratory chain complexes that are involved in the transport of protons. The chemiosmotic theory is rooted in measurements of bioenergetics parameters, such as oxygen consumption, ATP production, pH, and membrane potential, in isolated mitochondria artificially maintained under different metabolic conditions. In intact cells, however, mitochondria are exposed to metabolic and environmental fluctuations, interact with other organelles, and receive inputs from cell signaling pathways. Therefore, data derived from experiments in isolated mitochondria cannot be readily transposed in vivo. In this Perspective, we will briefly describe the mechanism that maintains and regulates pHmito as established in isolated mitochondria and integrate this knowledge with more recent recordings of pHmito in intact living cells obtained with genetically encoded pH-sensitive probes, with a focus on our recent report that single mitochondria exhibit spontaneous pHmito elevations.

Moving protons in and out of mitochondria

Given the central role of mitochondrial proton transport in energy conversion, much effort has been devoted to unraveling the sophisticated molecular machinery that moves protons across the IMM. Protons are extruded from the matrix to the intermembrane space (IMS) by the respiratory complexes I, III, and IV during consecutive redox reactions that couple the free energy released during the transport of electrons from high to low redox potentials to the extrusion of protons (Dempsey et al., 2010). Crystal structures of the respiratory complexes have been obtained (Abrahams et al., 1994; Iwata et al., 1998), and the stoichiometry of H+ ejection was established as 10 H+ pumped for each pair of electrons entering at the level of complex I (Saraste, 1999). Because of the low permeability of the IMM to ions, including H+, the extrusion of protons by the respiratory complexes creates an electrochemical gradient for H+ across the membrane (, more commonly expressed as Δp). Δp is the sum of an electrical gradient that constitutes the ΔΨ and of a chemical gradient ΔpH that reflects the pH difference between the pHmito and the pH within the IMS (pHIMS). From a chemiosmotic point of view, ΔΨ and ΔpH are independent components that equally contribute to the Δp driving the synthesis of ATP as H+ ions return to the matrix at the level of complex V (Mitchell, 1961). In addition to powering ATP synthesis, the potential energy stored in the H+ gradient also drives the transport of ions and metabolites across the IMM (Fig. 1). Some transporters rely only on ΔΨ, for instance: Ca2+ uptake via the mitochondrial Ca2+ uniporter (Baughman et al., 2011; De Stefani et al., 2011), ATPADP exchange via the adenine nucleotide translocator (Krämer and Klingenberg, 1980; Klingenberg, 2008), or the import of mitochondrial resident protein via the translocase of outer membrane and the translocase of inner membrane complexes (Martin et al., 1991; Bauer et al., 1996). Conversely, several transporters rely exclusively on ΔpH, such as the Ca2+–H+ exchanger (CHX), K+–H+ exchanger (KHX), and Na+–H+ exchanger (NHX), whose molecular identities remain controversial (Nowikovsky et al., 2004; Jiang et al., 2009; Zotova et al., 2010). The Pi–H+ phosphate cotransporter (PiC), which imports the phosphate required for ATP synthesis into the matrix, also relies on ΔpH (Palmieri, 2004). Some transporters dissipate both ΔpH and ΔΨ, such as uncoupling proteins (UCPs), H+ channels that uncouple OXPHOS from ATP synthesis, and the permeability transition pore (mPTP), a nonselective ion channel whose opening initiates cell death by allowing the fluxes of ions and metabolites of up to 1,500 KD across the IMM (Kroemer et al., 2007). UCP1 is expressed in brown adipose fat where it acts as a proton channel to mediates adaptive thermogenesis (Cannon and Nedergaard, 2004), whereas the UCP2 and UCP3 isoforms, expressed in non-adipose tissues, do not appear to function as proton channels under basal conditions (Cadenas et al., 2002; Couplan et al., 2002) but only upon stimulation by fatty acids and purine nucleotides (Palmieri, 2004). The mitochondrial matrix pH, pHmito, reflects the equilibrium between proton extrusion and proton entry into the matrix. Variations in pHmito therefore reflect the equilibrium between proton pumping by the respiratory chain and proton back-flux across the ATP synthase, across the KHX, NHX, CHX, and PiC, and across the UCP and mPTP. Variations in pHmito are also limited by mitochondrial H+ buffers provided by the side chains of amino acids and by phosphates and bicarbonates, which dampen the variations in the free H+ concentration during acid or alkaline loads. But because the pHmito-buffering capacity (βmito) is quite low at the physiological alkaline pH of the matrix (Poburko et al., 2011), pHmito changes mainly reflect the activity of H+ fluxes across the IMM.
Figure 1.

Determinants of the pHmito. Protons are pumped from the matrix to the IMS by the respiratory chain complexes I, III, and IV (green boxes) as electrons flow from reduced substrates in the matrix to O2. The pumping of electrically charged protons generates a ΔΨ of ∼180 mV and a pH gradient (ΔpH: pHmito − pHIMS) of ∼0.9 pH units as the matrix becomes more alkaline than the IMS. The proton circuit is in thermodynamic equilibrium and changes in ΔΨ, thus causing opposing changes in ΔpH by altering the energy required for the pumping of protons by respiratory chain complexes. ΔΨ and ΔpH add up to generate a Δp used by the ATP synthase (blue-orange barrel) to generate ATP from ADP and Pi in the matrix. ΔΨ drives Ca2+ uptake across the mitochondrial Ca2+ uniporter (MCU; blue cylinder) and ADP–ATP exchange across the adenine nucleotide translocator (ANT; brown ovals). Electroneutral H+–ion exchangers rely exclusively on ΔpH to extrude Ca2+, Na+, and K+ ions in exchange for protons (CHX, NHX, and KHX, respectively; brown ovals), whereas the PiC relies on ΔpH to import the inorganic phosphate used for the synthesis of ATP (PiC; brown ovals). The coupling of H+ and ion fluxes implies that changes in the Na+, K+, Ca2+, and Pi gradients can alter ΔpH. UCPs and the mPTP (UCPs and mPTP; blue cylinders) dissipate both ΔpH and ΔΨ to generate heat and to initiate cell death, respectively. Variations in pHmito reflect the equilibrium between proton pumping by the respiratory chain; Δp dissipation by the ATP synthase, UCPs, and mPTP; ΔpH dissipation by KHX, NHX, CHX, and PiC; and adaptive responses to changes in cytosolic pH and in ΔΨ.

Determinants of the pHmito. Protons are pumped from the matrix to the IMS by the respiratory chain complexes I, III, and IV (green boxes) as electrons flow from reduced substrates in the matrix to O2. The pumping of electrically charged protons generates a ΔΨ of ∼180 mV and a pH gradient (ΔpH: pHmito − pHIMS) of ∼0.9 pH units as the matrix becomes more alkaline than the IMS. The proton circuit is in thermodynamic equilibrium and changes in ΔΨ, thus causing opposing changes in ΔpH by altering the energy required for the pumping of protons by respiratory chain complexes. ΔΨ and ΔpH add up to generate a Δp used by the ATP synthase (blue-orange barrel) to generate ATP from ADP and Pi in the matrix. ΔΨ drives Ca2+ uptake across the mitochondrial Ca2+ uniporter (MCU; blue cylinder) and ADPATP exchange across the adenine nucleotide translocator (ANT; brown ovals). Electroneutral H+–ion exchangers rely exclusively on ΔpH to extrude Ca2+, Na+, and K+ ions in exchange for protons (CHX, NHX, and KHX, respectively; brown ovals), whereas the PiC relies on ΔpH to import the inorganic phosphate used for the synthesis of ATP (PiC; brown ovals). The coupling of H+ and ion fluxes implies that changes in the Na+, K+, Ca2+, and Pi gradients can alter ΔpH. UCPs and the mPTP (UCPs and mPTP; blue cylinders) dissipate both ΔpH and ΔΨ to generate heat and to initiate cell death, respectively. Variations in pHmito reflect the equilibrium between proton pumping by the respiratory chain; Δp dissipation by the ATP synthase, UCPs, and mPTP; ΔpH dissipation by KHX, NHX, CHX, and PiC; and adaptive responses to changes in cytosolic pH and in ΔΨ.

Measurements in isolated mitochondria

The validation of the chemiosmotic theory implied precise measurements of the electrical and chemical component of the Δp under well-controlled conditions, and until 1980, the preparation of choice was isolated mitochondria purified from liver by differential centrifugation. After attempts to impale giant mitochondria with microelectrodes (Maloff et al., 1977), physiologists relied on external K+ and H+-selective electrodes or on isotopes to measure ΔΨ and ΔpH in suspended mitochondria (Mitchell and Moyle, 1969). The electrical component ΔΨ was estimated by measuring the distribution of radioactively labeled lipophilic cations or by recording the changes in external [K+] or the accumulation of matrix 86Rb+ in the presence of the potassium ionophore valinomycin. This approach relies on the assumption that cations distribute according to the Donnan equilibrium and provided precise estimates of the distribution of K+ or Rb+ across the IMM. The chemical component ΔpH was estimated by measuring the distribution of radioactively labeled weak acids or bases, 3H-acetate or 14C-methylamine, assuming that the IMM is permeable to the uncharged but impermeable to the charged species (Nicholls, 1974), or by monitoring the changes in external pH after the lysis of mitochondria with detergents to estimate pHmito, a calculation that requires the knowledge of the mitochondrial volume and of the buffering capacity of the mitochondrial matrix (Rottenberg, 1975). These measurements established that Δp ranges from 180 to 220 mV depending on the metabolic state of the mitochondria, with ΔΨ ranging from 150 to 180 mV and ΔpH from 0.5 to 1.2 pH units (pHmito = 8.2–7.5 and pHout = 7). Using the simplified Nernst equation (E = −60*log [H+]/[H+] at 30°C), the pH gradient can be converted into a diffusion potential and its contribution to the Δp was estimated to be ∼30–70 mV, i.e., 17–30% of Δp, indicating that ΔΨ is the main component of the Δp. These measurements provided the first quantitative estimates of the two components to the Δp generated by mitochondria, grounding the chemiosmotic theory in solid scientific evidence and confirming several of its predictions. One of these predictions was the postulate that ΔΨ and ΔpH add up to build Δp, which implied that, in respiring mitochondria, selective manipulations of ΔΨ would induce compensatory alterations in ΔpH to preserve Δp. This was nicely demonstrated by Nicholls (1974) in isolated mitochondria equilibrated with valinomycin/K+ and exposed to increasing amounts of K+ to clamp ΔΨ to varying voltages. In these conditions, Δp remains constant as mitochondria are depolarized because the decreases in ΔΨ are exactly balanced by opposite increases in ΔpH (see Nicholls, 2005, for a recent discussion of these findings). The compensation occurs over the whole range of voltages tested to the point that, when ΔΨ is fully dissipated, the Δp is contributed exclusively by ΔpH. Conversely, when ΔpH is collapsed by the K+/H+ ionophore nigericin, Δp is contributed exclusively by ΔΨ (Lambert and Brand, 2004). These experiments demonstrated that the two components of the Δp can vary widely without dissipating the stored energy, as ΔpH can fully compensate for imposed changes in ΔΨ and vice versa.

Measurements in living cells

The recognition that ΔΨ is the major contributor of Δp fostered the development of optical recording techniques to measure this parameter in intact cells. Since 1980, the preferred method is to use fluorescence lipophilic cations that distribute across the IMM according to the membrane potential. Fluorescent dyes such as TMRM, rhodamine, or JC1 provide a simple optical readout of the mitochondrial potential and enable the study of its dynamic regulation in intact living cells under physiological conditions. These dyes have become so popular that, in virtually all studies, the fluorescent ΔΨ signal is thought to reflect the energization state of mitochondria, an assumption that equates ΔΨ with Δp and thus ignores the contribution of ΔpH. As discussed in the preceding section, however, ΔpH contributes 20–30% of Δp and can fully compensate for a loss in ΔΨ when the mitochondrial potential is varied with an artificial K+ conductance. To confidently establish the energization state of mitochondria, both ΔΨ and ΔpH should be measured simultaneously to obtain a complete readout of Δp. Unfortunately, ΔpH is not only ignored but also more difficult to measure than ΔΨ, and very few studies so far have attempted to record dynamic changes in ΔpH. Using radioactively labeled weak acid and bases, ΔpH was estimated around 1.0–1.2 pH units, contributing 60 mV to Δp in intact cells (Hoek et al., 1980; Brand and Felber, 1984), but isotopic measurements are restricted to cell populations, do not allow real-time recordings, and do not provide any spatial information. Optical recordings of pHmito with pH-sensitive fluorescent dyes such as BCECF or SNARF brought the resolution down to the single-cell level. Using this approach, ΔpH was found to be ∼0.9 pH units in cardiac myocytes and to collapse with a different kinetic than ΔΨ during chemical hypoxia (Lemasters et al., 1995), whereas in MDCK cells, ΔpH was around 0.3 pH units and was dynamically regulated during metabolic inhibition (Balut et al., 2008). Because chemical dyes are not specifically targeted to mitochondria, cells must be simultaneously loaded with a fluorescent mitochondrial marker to distinguish between the mitochondrial and cytosolic pH signal; therefore, this approach is better suited for isolated mitochondria or permeabilized cells. To enable time-resolved in situ recordings of pHmito, an ideal fluorescent sensor should exhibit the following properties: (a) specific targeting to the mitochondrial matrix; (b) reduced toxicity compared with BCECF-AM or SNARF-AM, which generate harmful metabolites and produce ROS when excited by light; (c) rapid and reversible response to variations in pHmito; (d) alkaline pKa around 7.6–8.0 to match the pH of the mitochondrial matrix; (d) wide dynamic range to reveal small changes in pHmito levels between individual mitochondria; (e) high pH specificity to discriminate between pH changes and changes in ionic strength or in redox conditions; (f) ratiometric to avoid confounding factors caused by imaging conditions, cell thickness, or probe expression levels; and (g) available in different spectral variants to facilitate simultaneous pH measurements in different compartments or the monitoring of other mitochondrial parameters with probes of distinct spectral properties. The development of genetically encoded pH-sensitive indicators solves the targeting issue because the protein-based probes can be specifically targeted to specific organelles with endogenous addressing sequences. These probes are derived from the GFP, a molecule whose fluorescence properties are well understood at the molecular level. The GFP chromophore originates by spontaneous posttranslational cyclization of three consecutive amino acids located inside the hydrophobic environment created by 11-stranded β sheets that form the characteristic β-barrel tertiary structure of the protein. Because their spectral properties depend on the protonation state of the chromophore, GFPs can be easily turned into pH sensors by mutating residues that alter the conformation of the chromophore or its accessibility to solvent (Miesenböck et al., 1998; Hanson et al., 2002). The initial pH-sensitive GFP mutants have a pK in the acidic or near-neutral range and are therefore best suited for measurements in acidic organelles (Kneen et al., 1998; Miesenböck et al., 1998), but pHmito acidification evoked by protonophores could be detected with mitochondrial versions of the GFP mutant F64L/S65T (Kneen et al., 1998) and with mito-EYFP (Llopis et al., 1998). Using a pH-sensitive GFP, a mitochondrial alkalinization concomitant with a cytosolic acidification was reported in apoptotic cells and attributed to the reverse activity of the ATP synthase (i.e., pumping H+ toward the cytosol), the ensuing cytosolic acidification favoring the activity of caspases and promoting apoptosis (Matsuyama et al., 2000). Different ratiometric and nonratiometric GFP mutants have since been developed that exhibit an alkaline-shifted pK, such as the YFP mutants H148G (pK = 8) and S65T/H114D (pK = 7.8) (Elsliger et al., 1999), or the deGFP1 S65T/H114G/T203C (pK = 8) (Hanson et al., 2002). Using another strategy, Pozzan’s group (Abad et al., 2004) took advantage of the high pH sensitivity of the YFP-based Ca2+ sensors Camgaroos to generate a probe with an apparent pKa of 8.5, mt-AlpHi, by replacing the Ca2+-sensitive domain of the Camgaroo by a Ca2+-insensitive module. In HeLa cells and primary cultured neurons, mt-AlpHi reported that basal pHmito levels were around 8.0 and increased heterogeneously upon stimulation with Ca2+-mobilizing agonists, with some mitochondria alkalinizing and others not (Abad et al., 2004). In rat pancreatic β cells, sustained increases in pHmito and in ΔpH were observed with mt-AlpHi during glucose stimulation that correlated with an increase in mitochondrial ATP synthesis, indicating that pHmito is an important signal during nutrient-induced insulin secretion (Wiederkehr et al., 2009). Treatment with nigericin to prevent pHmito alkalinization blunted nutrient-induced ATP increase and insulin secretion (Akhmedov et al., 2010), indicating that pHmito and ΔpH control mitochondrial metabolism during cell stimulation (Wiederkehr, 2009). The new red-shifted RFPs are also promising tools to measure pH in living cells (Johnson et al., 2009), although their pKa values in the acidic range preclude accurate pH measurements in alkaline organelles (Jach et al., 2006; Shaner et al., 2008). pHRed (pK = 7.8) has been used to carry out simultaneous measurements of pHcyto and ATPcyto combined with Perceval (Tantama et al., 2011), and the availability of such alkaline-sensitive red-shifted fluorescent proteins will allow multicolor imaging of pHmito together with key parameters like Ca2+, ATP, or ROS. ΔpH is usually calculated as pHmito − pHcyto because the outer mitochondrial membrane has a high permeability to ions. The bulk pHcyto, however, might not reflect the actual pH values achieved in the IMS, where H+ is continuously ejected by respiratory chain complexes. Accordingly, recordings with a pH-sensitive YFP targeted to the outer surface of the IMM reported a pHIMS of 6.8, i.e., slightly more acidic than the cytosol, and a ΔpH of 0.8 pH units (Porcelli et al., 2005). The pH on the IMS side of mitochondria cristae might be even more acidic than the bulk IMS pH because respiratory complexes are concentrated on these invaginations, which are connected to the IMS by small tubular junctions that constrain the diffusion of solutes (Scorrano et al., 2002). Indeed, electron cryotomography studies reported long ribbons of ATP synthase dimers assembling on tightly curved cristae edges (Strauss et al., 2008), an arrangement predicted to increase the surface density of protons in the curved membrane regions by ∼0.5 pH units, thereby turning cristae into proton traps (Davies et al., 2011). We have recently developed a new genetically encoded pH-sensitive probe, mito-SypHer, which we used to follow ΔpH changes during physiological activation of cells by Ca2+-mobilizing agonists (Poburko et al., 2011). The probe was derived from HyPer, a cpYFP-based indicator for hydrogen peroxide very sensitive to alkaline pH, by mutating a cysteine residue to remove the probe H2O2 sensitivity. SypHer is highly sensitive to pH but insensitive to oxidizing and reducing agents, and has two maximal absorbance peaks at 430 and 490 nm that enable ratiometric measurements of the changes in environmental pH. By combining mito-SypHer with a fluorescent pH dye, we could record pHmito and pHcyto simultaneously to track dynamic changes in ΔpH in live cells. In HeLa cells, pHmito and ΔpH averaged 7.6 and 0.45 and, surprisingly, decreased together with pHcyto during activation of cells with Ca2+-mobilizing agonists (Fig. 2). The rapid acidification of the cytosol reflected the activity of plasma membrane Ca2+ pumps, and the cytosolic acid was readily transmitted to the mitochondrial matrix, predominantly via the KHX and Pi/H+ symporter, thereby causing a mitochondrial acidification instead of the alkalinization that was previously reported with mt-AlpHi in HeLa cells exposed to histamine (Abad et al., 2004) and in pancreatic β cells treated with glucose (Wiederkehr et al., 2009). The ΔpH decrease reflected the larger decrease in pHmito compared with pHcyto (Fig. 2), which in turn reflects the lower buffering capacity of mitochondria at physiological pH levels (βmito = 5 mM at pH 7.8) compared with the cytosol (βcyto = 20 mM at pH 7.4). Similar matrix acidification and ΔpH dissipation were observed in astrocytes exposed to glutamate, with the decreased ΔpH being associated with decreased O2 consumption and reduced mitochondrial ROS generation (Azarias et al., 2011), suggesting that the mitochondrial metabolism of astrocytes decreases during neurotransmission, a mechanism that might increase local oxygen availability for neurons. The matrix acidification and ΔpH dissipation observed in HeLa cells and astrocytes appears at odds with earlier studies showing that cytosolic Ca2+ elevations boost mitochondrial metabolism (Hajnóczky et al., 1995), but the rapid acidification evoked by the cytosolic Ca2+ elevations was followed by a slow matrix alkalinization as the cytosolic Ca2+ signal subsided (Fig. 2), consistent with Ca2+-dependent activation of matrix enzymes. Furthermore, the addition of micromolar Ca2+ concentrations to permeabilized cells induced a slight and progressive matrix alkalinization (Poburko et al., 2011). These findings suggest that cytosolic Ca2+ elevations exert opposite effects on pHmito, as they stimulate mitochondrial respiration, thereby increasing pHmito, and at the same time generate large quantities of cytosolic acid that is transmitted to the mitochondrial matrix, thereby decreasing pHmito. In cells that are essentially glycolytic such as cultured HeLa cells and astrocytes, the latter mechanism dominates and ΔpH decreases during Ca2+ elevations. More fundamentally, these data indicate that the permeability of the IMM to protons is quite high in situ and thus appear to contradict the fourth postulate of the chemiosmotic theory, that mitochondria must be impermeable to protons to allow the generation of a Δp. However, the rapid pH equilibration was not caused by electrophoretic entry of protons but by the activity of electroneutral ion–H+ exchangers, and our findings therefore remain consistent with the chemiosmotic theory, whose third postulate predicts the existence of exchangers coupling anion entry and cation extrusion to proton entry.
Figure 2.

Dynamic recordings of ΔpH during cell activation. Simultaneous recordings of pHmito (black trace, mito-SypHer) and pHcyto (red trace, SNARF) in HeLa cells repeatedly stimulated with 100 µM histamine to elicit Ca2+ elevations. ΔpH can be calculated online as pHmito − pHcyto (green trace). Both pHcyto and pHmito decrease during Ca2+ elevations as large quantities of cytosolic acid are generated by the activity of plasma membrane Ca2+ pumps. The larger decrease in pHmito reflects the lower H+-buffering capacity of mitochondria and causes ΔpH to collapse at the peak of the Ca2+ elevations. pHmito and ΔpHmito increased upon histamine removal, reflecting the Ca2+-dependent activation of matrix dehydrogenases. See also Poburko et al. (2011).

Dynamic recordings of ΔpH during cell activation. Simultaneous recordings of pHmito (black trace, mito-SypHer) and pHcyto (red trace, SNARF) in HeLa cells repeatedly stimulated with 100 µM histamine to elicit Ca2+ elevations. ΔpH can be calculated online as pHmito − pHcyto (green trace). Both pHcyto and pHmito decrease during Ca2+ elevations as large quantities of cytosolic acid are generated by the activity of plasma membrane Ca2+ pumps. The larger decrease in pHmito reflects the lower H+-buffering capacity of mitochondria and causes ΔpH to collapse at the peak of the Ca2+ elevations. pHmito and ΔpHmito increased upon histamine removal, reflecting the Ca2+-dependent activation of matrix dehydrogenases. See also Poburko et al. (2011).

pH elevations in single mitochondria

Advances in live cell imaging revealed that mitochondria are morphologically and functionally heterogeneous within cells (Collins et al., 2002) and that rapid fluctuations in ΔΨ occur in single mitochondria (Duchen et al., 1998; Hüser et al., 1998). The depolarization transients have been proposed to be triggered by Ca2+ elevations (Duchen et al., 1998), by openings of the mPTP (Hüser and Blatter, 1999; De Giorgi et al., 2000; Zorov et al., 2000; Jacobson and Duchen, 2002), by changes in the matrix concentration of adenine nucleotides (Vergun et al., 2003; Vergun and Reynolds, 2004), by the activity of the ATP synthase (Thiffault and Bennett, 2005), or by the opening of a H+-selective channel (Hattori et al., 2005), and their functional significance is currently unknown. The fluctuations in ΔΨ coincide with transient elevations in matrix [Na+] in astrocytes (Azarias et al., 2008), with ROS oscillations and NADH fluctuations in cardiac myocytes (Aon et al., 2003), and with superoxide flashes in skeletal muscle and intact beating hearts (Wang et al., 2008; Pouvreau, 2010; De Stefani et al., 2011). The nature of the superoxide flashes is debated because flash activity persisted under anaerobic conditions and was abolished by all respiratory chain inhibitors including antimycin, which is known to boost superoxide production (Muller, 2009). In response to these criticisms, the authors performed additional experiments to show that the flashes are nearly abrogated during chemical and physical anoxia, and attributed the unexpected effects of antimycin to the unique mechanism of superoxide flash production (Huang et al., 2011). In plants, the cpYFP probe used to detect the putative superoxide flashes was found to be highly responsive to changes in matrix pH but insensitive to changes in matrix superoxide, raising the possibility that the fluctuations were pH and not superoxide flashes (Schwarzländer et al., 2011). Using our ratiometric pH-sensitive probe mito-SypHer, we and others observed spontaneous pHmito elevations of 0.4 pH units coinciding with decreases in ΔΨ in individual mitochondria of HeLa cells (Fig. 3) (Santo-Domingo, J., and N. Demaurex. 2010. 16th European Bioenergetics Conference. Abstr. 15L.3; Santo-Domingo, J., and N. Demaurex. 2011. 65th Annual Meeting of The Society of General Physiologists. Abstr. 34) and of astrocytes (Azarias and Chatton, 2011). The pHmito elevations had an abrupt onset and a slower recovery and their frequency was reduced by all respiratory chain inhibitors, a spatiotemporal and pharmacological profile similar to the superoxide flashes. To clarify the nature of the signal, we tested the pH and superoxide sensitivity of bacterially expressed SypHer and found the probe to be highly sensitive to pH but insensitive to superoxide in vitro (Santo-Domingo, J., and N. Demaurex. 2012. Biophysical Society 56th Annual Meeting. Abstr. 2907). Increasing the pH-buffering power of mitochondria delayed and decreased the amplitude of the pHmito elevations, strongly suggesting that the elevations were caused by protons. Although this manipulation could alter mitochondrial function, it is unlikely to distort the kinetics of superoxide flashes exactly as predicted from the increase in pH-buffering power (Poburko et al., 2011). The rapid and transient elevations in SypHer ratio fluorescence observed in single mitochondria therefore reflect increases in matrix pH. Interestingly, we observed that enforced mitochondrial fusion increased the spatial extent of the pHmito elevations, whereas fragmentation had the opposite effect, indicating that mitochondrial fusion facilitates the propagation of ΔpH by functionally coupling mitochondria. The pHmito elevations persisted in cells permeabilized with solutions devoid of ions and, importantly, could be mimicked by artificial depolarization of mitochondria. These observations indicate that the pHmito flashes, which occur coincidentally with spontaneous decreases in ΔΨ, reflect increased pumping by the respiratory chain during drops in ΔΨ. A transient mitochondrial depolarization thermodynamically favors H+ extrusion by decreasing the driving force for proton pumping by the respiratory chain complexes, and several studies in isolated mitochondria have confirmed this prediction by showing that an imposed decrease in ΔΨ increases the rate of proton extrusion and O2 consumption (Talbot et al., 2007). Therefore, pHmito flashes reflect the intrinsic properties of the mitochondrial proton circuit. These findings have important functional consequences, because other studies have linked superoxide flashes to altered mitochondrial respiration during oxidative stress–induced apoptosis (Ma et al., 2011). We propose instead that the flashes are alkalinization events that do not alter the ability of mitochondria to convert energy but that, on the contrary, preserve the Δp during spontaneous fluctuations in ΔΨ. Spontaneous ΔΨ fluctuations are a well-known phenomenon thought to reflect alterations in mitochondrial metabolism. The observation that the Δp remains constant during concomitant ΔΨ drops and pH flashes indicates that the ability of mitochondria to convert energy is preserved during these bursts of electrical and chemical activity.
Figure 3.

Alkalinization transients in single mitochondria. HeLa cells expressing mito-SypHer were recorded on a spinning disc confocal microscope at a frequency of 1.2 Hz. Ratio F480/F430 images from two cells exhibiting spontaneous alkalinization transients are shown, with warm colors denoting high ratio values. The pHmito elevations occurred either in different regions of the mitochondrial network or repeatedly at the same location, but they always remained restricted to a particular mitochondrial cluster.

Alkalinization transients in single mitochondria. HeLa cells expressing mito-SypHer were recorded on a spinning disc confocal microscope at a frequency of 1.2 Hz. Ratio F480/F430 images from two cells exhibiting spontaneous alkalinization transients are shown, with warm colors denoting high ratio values. The pHmito elevations occurred either in different regions of the mitochondrial network or repeatedly at the same location, but they always remained restricted to a particular mitochondrial cluster. In conclusion, the pHmito, which was long neglected, is the object of renewed interest as GFP-based pH-sensitive indicators now allow recordings of dynamic changes in pHmito in living cells. The interpretation of pHmito changes is difficult because the steady-state pH of the organelle reflects the combined activities of the respiratory chain and of mitochondrial H+ transporters and is affected by variations in cytosolic pH and by variations in ΔΨ. The observation that elementary fluctuations in ΔpH occur in single mitochondria and spread across the cell as mitochondria fuse provides new insights on the properties of the mitochondrial proton circuit and on the ability of mitochondria to propagate energy inside cells. This Perspectives series includes articles by Sheu et al., Zhang et al., Balaban, Wei and Dirksen, O-Uchi et al., Nowikovsky et al., and Galloway and Yoon.
  72 in total

1.  Fluctuations in mitochondrial membrane potential caused by repetitive gating of the permeability transition pore.

Authors:  J Hüser; L A Blatter
Journal:  Biochem J       Date:  1999-10-15       Impact factor: 3.857

2.  Structural and spectral response of green fluorescent protein variants to changes in pH.

Authors:  M A Elsliger; R M Wachter; G T Hanson; K Kallio; S J Remington
Journal:  Biochemistry       Date:  1999-04-27       Impact factor: 3.162

Review 3.  Oxidative phosphorylation at the fin de siècle.

Authors:  M Saraste
Journal:  Science       Date:  1999-03-05       Impact factor: 47.728

4.  Visualizing secretion and synaptic transmission with pH-sensitive green fluorescent proteins.

Authors:  G Miesenböck; D A De Angelis; J E Rothman
Journal:  Nature       Date:  1998-07-09       Impact factor: 49.962

5.  Complete structure of the 11-subunit bovine mitochondrial cytochrome bc1 complex.

Authors:  S Iwata; J W Lee; K Okada; J K Lee; M Iwata; B Rasmussen; T A Link; S Ramaswamy; B K Jap
Journal:  Science       Date:  1998-07-03       Impact factor: 47.728

6.  Measurement of cytosolic, mitochondrial, and Golgi pH in single living cells with green fluorescent proteins.

Authors:  J Llopis; J M McCaffery; A Miyawaki; M G Farquhar; R Y Tsien
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

7.  Imaging the permeability pore transition in single mitochondria.

Authors:  J Hüser; C E Rechenmacher; L A Blatter
Journal:  Biophys J       Date:  1998-04       Impact factor: 4.033

8.  Red fluorescent protein pH biosensor to detect concentrative nucleoside transport.

Authors:  Danielle E Johnson; Hui-Wang Ai; Peter Wong; James D Young; Robert E Campbell; Joseph R Casey
Journal:  J Biol Chem       Date:  2009-06-03       Impact factor: 5.157

9.  Genome-wide RNAi screen identifies Letm1 as a mitochondrial Ca2+/H+ antiporter.

Authors:  Dawei Jiang; Linlin Zhao; David E Clapham
Journal:  Science       Date:  2009-10-02       Impact factor: 47.728

10.  Transient mitochondrial depolarizations reflect focal sarcoplasmic reticular calcium release in single rat cardiomyocytes.

Authors:  M R Duchen; A Leyssens; M Crompton
Journal:  J Cell Biol       Date:  1998-08-24       Impact factor: 10.539

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  75 in total

1.  How pH modulates the dimer-decamer interconversion of 2-Cys peroxiredoxins from the Prx1 subfamily.

Authors:  Mariana A B Morais; Priscila O Giuseppe; Tatiana A C B Souza; Thiago G P Alegria; Marcos A Oliveira; Luis E S Netto; Mario T Murakami
Journal:  J Biol Chem       Date:  2015-02-09       Impact factor: 5.157

2.  Mitochondrial Ca2+ Uniporter Is a Mitochondrial Luminal Redox Sensor that Augments MCU Channel Activity.

Authors:  Zhiwei Dong; Santhanam Shanmughapriya; Dhanendra Tomar; Naveed Siddiqui; Solomon Lynch; Neeharika Nemani; Sarah L Breves; Xueqian Zhang; Aparna Tripathi; Palaniappan Palaniappan; Massimo F Riitano; Alison M Worth; Ajay Seelam; Edmund Carvalho; Ramasamy Subbiah; Fabián Jaña; Jonathan Soboloff; Yizhi Peng; Joseph Y Cheung; Suresh K Joseph; Jeffrey Caplan; Sudarsan Rajan; Peter B Stathopulos; Muniswamy Madesh
Journal:  Mol Cell       Date:  2017-03-02       Impact factor: 17.970

3.  Minimization of extracellular space as a driving force in prokaryote association and the origin of eukaryotes.

Authors:  Scott L Hooper; Helaine J Burstein
Journal:  Biol Direct       Date:  2014-11-18       Impact factor: 4.540

Review 4.  Mitochondrial energy and redox signaling in plants.

Authors:  Markus Schwarzländer; Iris Finkemeier
Journal:  Antioxid Redox Signal       Date:  2013-01-30       Impact factor: 8.401

5.  Extramitochondrial domain rich in carbonic anhydrase activity improves myocardial energetics.

Authors:  Marie A Schroeder; Mohammad A Ali; Alzbeta Hulikova; Claudiu T Supuran; Kieran Clarke; Richard D Vaughan-Jones; Damian J Tyler; Pawel Swietach
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-19       Impact factor: 11.205

Review 6.  Role of pHi, and proton transporters in oncogene-driven neoplastic transformation.

Authors:  Stephan Joel Reshkin; Maria Raffaella Greco; Rosa Angela Cardone
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-02-03       Impact factor: 6.237

Review 7.  Mitochondrial genome maintenance in health and disease.

Authors:  William C Copeland; Matthew J Longley
Journal:  DNA Repair (Amst)       Date:  2014-04-26

8.  Increased Reliance on Muscle-based Thermogenesis upon Acute Minimization of Brown Adipose Tissue Function.

Authors:  Naresh C Bal; Santosh K Maurya; Sushant Singh; Xander H T Wehrens; Muthu Periasamy
Journal:  J Biol Chem       Date:  2016-06-13       Impact factor: 5.157

9.  Respective contribution of mitochondrial superoxide and pH to mitochondria-targeted circularly permuted yellow fluorescent protein (mt-cpYFP) flash activity.

Authors:  Lan Wei-LaPierre; Guohua Gong; Brent J Gerstner; Sylvie Ducreux; David I Yule; Sandrine Pouvreau; Xianhua Wang; Shey-Shing Sheu; Heping Cheng; Robert T Dirksen; Wang Wang
Journal:  J Biol Chem       Date:  2013-03-01       Impact factor: 5.157

10.  NH4(+) triggers the release of astrocytic lactate via mitochondrial pyruvate shunting.

Authors:  Rodrigo Lerchundi; Ignacio Fernández-Moncada; Yasna Contreras-Baeza; Tamara Sotelo-Hitschfeld; Philipp Mächler; Matthias T Wyss; Jillian Stobart; Felipe Baeza-Lehnert; Karin Alegría; Bruno Weber; L Felipe Barros
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-18       Impact factor: 11.205

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