Robert A.
Colvin
ab,
William R.
Holmes
ab,
Charles P.
Fontaine
a and
Wolfgang
Maret
c
aDepartment of Biological Sciences, Ohio University, Athens, OH 45701, USA. E-mail: colvin@ohio.edu; Fax: 740-593-0300; Tel: 740-593-0198
bNeuroscience Program, Ohio University, Athens, OH 45701, USA
cKing's College London, School of Biomedical and Health Sciences, Nutritional Sciences Division, London, United Kingdom SE1 9NH
First published on 16th April 2010
Our knowledge of the molecular mechanisms of intracellular homeostatic control of zinc ions is now firmly grounded on experimental findings gleaned from the study of zinc proteomes and metallomes, zinc transporters, and insights from the use of computational approaches. A cell's repertoire of zinc homeostatic molecules includes cytosolic zinc-binding proteins, transporters localized to cytoplasmic and organellar membranes, and sensors of cytoplasmic free zinc ions. Under steady state conditions, a primary function of cytosolic zinc-binding proteins is to buffer the relatively large zinc content found in most cells to a cytosolic zinc(II) ion concentration in the picomolar range. Under non-steady state conditions, zinc-binding proteins and transporters act in concert to modulate transient changes in cytosolic zinc ion concentration in a process that is called zinc muffling. For example, if a cell is challenged by an influx of zinc ions, muffling reactions will dampen the resulting rise in cytosolic zinc ion concentration and eventually restore the cytosolic zinc ion concentration to its original value by shuttling zinc ions into subcellular stores or by removing zinc ions from the cell. In addition, muffling reactions provide a potential means to control changes in cytosolic zinc ion concentrations for purposes of cell signalling in what would otherwise be considered a buffered environment not conducive for signalling. Such intracellular zinc ion signals are known to derive from redox modifications of zinc-thiolate coordination environments, release from subcellular zinc stores, and zinc ion influx via channels. Recently, it has been discovered that metallothionein binds its seven zinc ions with different affinities. This property makes metallothionein particularly well positioned to participate in zinc buffering and muffling reactions. In addition, it is well established that metallothionein is a source of zinc ions under conditions of redox signalling. We suggest that the biological functions of transient changes in cytosolic zinc ion concentrations (presumptive zinc signals) complement those of calcium ions in both spatial and temporal dimensions.
![]() Robert A. Colvin | Bob Colvin received his PhD in cell physiology from Rutgers University. After postdoctoral studies at the University of Connecticut in cardiology, he accepted a position as assistant professor of pharmacology at Oral Roberts University School of Medicine. In 1990, he joined the Biological Sciences Department, Neuroscience Program at Ohio University and was promoted to full professor in 2006. His work has centered on the mechanism and regulation of transporters for both zinc and calcium and cellular ion homeostasis, particularly as it relates to neurodegenerative diseases such as Alzheimer’s disease and stroke. |
![]() William R. Holmes | William Holmes received his PhD in Biomathematics from UCLA. Currently he is a Professor in the Neuroscience Program in the Department of Biological Sciences at Ohio University where he is also Director of the Quantitative Biology Institute. His research interests include the development of mathematical and computational models at the levels of the individual neuron, the synapse and biochemical reactions within cells, particularly as they relate to mechanisms of learning and memory. Recent work concerns estimation of parameters governing the electrical properties of neurons, calcium dynamics and reaction-diffusion in dendritic spines, and zinc homeostasis in cortical neurons. |
![]() Charles P. Fontaine | Charles P. Fontaine received a Bachelor of Science degree in Microbiology from Ohio University in 1998. In 2003 he began a position as a research technician under the guidance of Robert Colvin in the Neuroscience Program in the department of Biological Sciences at Ohio University. During the six years he performed research with Dr Colvin he also pursued and was awarded a Master of Science in Environmental Sciences, at Ohio University. Charles has since moved to Diagnostic Hybrids Inc. where he operates as a Research Associate and Laboratory Manager in the R&D department. |
![]() Wolfgang Maret | Wolfgang Maret received his diploma in chemistry and his PhD in natural sciences from the Saarland University, Saarbruecken, Germany. After postdoctoral studies at the University of Chicago, he accepted a position as assistant professor at Harvard Medical School. Since 2003, he has been an associate professor in the Division of Human Nutrition (Department of Preventive Medicine and Community Health) at the University of Texas Medical Branch in Galveston, TX. His work focuses on molecular mechanisms of cellular metal homeostasis, sulfur redox chemistry, structure and function of metalloenzymes, as well as the functions of micronutrients in chronic and degenerative diseases. |
For all modern eukaryotic cells, steady state concentrations of free intracellular zinc ions are maintained within narrow limits by buffering systems. Steady state free zinc ion concentrations must be under especially tight control, because eukaryotic cells generally contain higher levels of total zinc than other transition metals and each cell needs to distribute zinc to a staggering number of proteins for a myriad of functions. Zinc ions cannot have uncontrolled access to metalloproteins, since metal binding to proteins generally follows the Irving-Williams series where zinc is highly preferred over most other metals except copper.13 Such an uncontrolled access to zinc would render many metalloproteins dysfunctional and likely result in cell death. The converse is true also and zinc deficiency leads to cell death as well.14
One of the key features of eukaryotic evolution was the compartmentalization of the cell, and naturally it included compartmentalization of intracellular zinc. Zinc compartmentalization and sequestration evolved in part to allow cellular zinc utilization to increase significantly, while keeping the cytosolic free zinc ion concentration remarkably low to prevent zinc ions from binding to the wrong proteins. Zinc ion-binding and transport proteins probably first evolved for a protective function. As eukaryotic cells compartmentalized, cellular zinc ion homeostasis necessarily became more elaborate and the ability to modulate non-steady state changes in cytosolic free zinc ion concentrations evolved. The modulation of cytosolic free zinc ion concentrations and intracellular distribution became the task for the concerted action of cytosolic binding proteins, transporters, and sequestration in organelles; such activities have been termed muffling reactions.15 Muffling reactions and the resulting control of cytosolic zinc ion transients provide a basis for zinc ions to take on new intracellular functions, such as the regulation of gene expression, enzymatic activity, and signalling.
A satisfying description of intracellular zinc ion buffering and muffling will include the spatial and temporal distributions and concentrations of both free and bound zinc ions in the cytosol and in each cellular compartment, i.e., the zinc metallome, and how zinc ion levels are maintained and change in response to various physiological and/or pathophysiological perturbations. These zinc ion homeostatic processes interact with and are linked to the metabolic and developmental state of the cell as well.16 Thus, the first step to a better understanding of zinc ion homeostasis is an accurate description of the cellular zinc proteome, the cellular concentrations of zinc-binding proteins, and free and total zinc ions in each cellular compartment under steady state conditions. The next steps are to describe the interactions of zinc-binding proteins, zinc transporters, sequestering organelles, and zinc buffering and muffling reactions in both temporal and spatial dimensions, under non-steady state conditions. Solving these problems will be challenging, but important inroads have been made as we will describe.
Quantitative, functional, and structural metallomics approaches are being undertaken to understand the biological significance of metals. Quantitative metallomics endeavors to determine the free and total concentrations of metals in each cellular compartment including the cytosol and various organelles. Functional metallomics attempts to describe how metals affect cellular attributes and activities in cellular time and space and how metal levels are regulated. Structural metallomics considers the different coordination environments of metals in biology. In order to decipher the complex interplay between proteomics and metallomics, computational approaches of systems biology are used. Computational models of cellular metal homeostasis based on experimental data provide the best promise of eventually understanding the complex interactions of metals, proteins, and compartments in a single cell and will allow predictions on how nutrients, drugs, and toxicants interfere with control of cellular zinc homeostasis.
Zinc ions are known to be accumulated in cells because measured total cellular concentrations are much higher than physiological extracellular concentrations.18 We expect the zinc metallome to change throughout the life cycle of a cell reflecting the cell's developmental stage, level of activity and function, as is indeed borne out by recent experiments.19 Thus, phenotypically distinct cells might be expected to have similarly distinct zinc metallomes and may vary considerably in their steady state cytosolic free zinc ion concentrations as well.
With the advent of sequencing entire genomes, databases could be mined, and using bioinformatics approaches, predictions were made that at least 10% (about 2800 gene products) of the human genome encodes for zinc-binding proteins.27 The zinc-binding proteins include 397 hydrolases; 302 ligases; 167 transferases; 43 oxidoreductases and 24 lyases/isomerases; 957 transcription factors; 221 signaling proteins; 141 transport/storage proteins; 53 proteins with structural metal sites; 19 proteins involved in DNA repair, replication, and translation; 427 zinc finger proteins of unknown function; and 456 proteins of unknown function. While all of this work identified proteins with enzymatic or structural functions based on homology to known templates, there are an increasing number of signatures that do not fall in either one of these categories.20,28 Thus, the actual number of zinc-binding proteins might be even larger.29 Zinc is used as a structural element between proteins to establish higher order structures and it binds transiently to some proteins, presumably for regulation.10
A limitation of this bioinformatics approach for predicting the number of zinc-binding proteins is that it does not provide information about the location of the proteins or their concentrations. Thus, additional analytical data are needed to determine the relationship between protein-bound zinc and free zinc ions in the cytosol and various cellular compartments. It seems inevitable to conclude that total and free zinc ion concentrations will be different in each cellular compartment. For example, the frequent association of zinc with thiol ligands of cysteines and different thiol redox states of subcellular compartments30 together suggest that total and free zinc ion concentrations in subcellular compartments will differ significantly.
One of the corollaries of such widespread use of zinc in proteins—and of its strong interaction with proteins in general—is that the availability of free zinc ions must be controlled tightly and that zinc ions must be provided to the proteins that require them for their functions at the right time and in the right location. However, given the large number of and structurally different zinc proteins, it is unlikely that specific metallochaperones are involved in recognizing zinc-requiring proteins, like that seen with copper-requiring proteins.31 It has become clear that there are a considerable number of zinc-binding proteins that function in the control of steady state and non-steady state cytosolic free zinc ion concentration. These include zinc sensors, zinc transporters, and cytosolic zinc-binding proteins.
In the last two decades, the synthesis of chelating agents that are coupled to fluorophores that fluoresce strongly when zinc ions are bound made it possible to measure cytosolic free zinc ion concentrations directly by loading these compounds into living cells. In as much as these agents proved to be powerful tools for relative measurements, their application for absolute determinations needs consideration of their physical chemistry as well as their chemical biology in cells. Initially, their application in cellular studies generated more confusion than clarification. It was discovered that most calcium indicators actually have higher affinity for the zinc ion than the calcium ion.36 This finding led to attempts to use such indicators for the measurement of zinc ions. Mag fura-5 is one compound in this category. It was used quite successfully in neuronal cultures to measure large pathological increases in cytosolic free zinc ions. Its zinc ion affinity is about 30 nM whereas its calcium and magnesium affinities are 20 μM and 2.6 mM, respectively.37,38 Although there was the possibility that magnesium and calcium could interfere with zinc ion measurements, control experiments showed that this was not the case. Resting zinc ion concentrations were near the detection limit of Mag fura-5 for zinc ions in cultured neurons, so based on its affinity for the zinc ion, resting cytosolic free zinc ions could be no higher than low nanomolar.
Zinc-selective compounds for live cell imaging were first developed based on 6-methoxy-(8-p-toluenesulfonamido)quinoline (TSQ), such as Zinquin.39,40 While Zinquin has the selectivity and high affinity required for zinc ion measurements, its utility suffers from the requirement for excitation with damaging ultraviolet light. Furthermore, in most cells Zinquin is highly compartmentalized, making it difficult to determine cytosolic free zinc ion concentrations.41 A later generation of compounds—FluoZin-3 and ZnAF-2—are highly selective for zinc ions, have the prerequisite high affinity for zinc ions, have a large dynamic range or response, and are readily loaded into living cells.36,42–45 Studies using these compounds have consistently estimated the cytosolic free zinc ion concentration to be picomolar to no higher than a few nanomolar in various cell types.7,8 Again, such values are in agreement with estimates of <1 nM free cytosolic zinc ions in other cell lines when using a zinc ion chelator and 19F nuclear magnetic resonance.46,47
Recently, biosensors with high zinc ion affinity and selectivity based on carbonic anhydrase have been engineered.48 Employing these cytosolic sensors, cytosolic free zinc ion concentrations in the 5–10 pM range in PC12 (rat pheochromocytoma) cells kept in serum-free medium were measured. Finally, genetically encoded fluorescence resonance energy transfer (FRET) sensors with zinc ion-selective binding can be targeted to specific cellular locations within cells, such as the cytosol, plasma membrane, mitochondrion, and insulin-storing granules.49,50 Such sensors have been used to estimate free zinc ion concentrations in the cytosol and in subcellular organelles. The CALWY sensors developed and used by Merkx and colleagues50 appear particularly promising and have yielded estimates of 0.4 nM free zinc ions in the cytosol of INS-1 (832/11) pancreatic beta-cells.
One of the more important caveats to the introduction of a chelating agent into a cell for measuring cytosolic free zinc ions is the fact that the chelating agent, which may be at a far greater intracellular than the extracellular concentration, will add an additional cytosolic buffer for zinc ions thereby perturbing the steady state cytosolic free zinc ion concentration. Experimental studies have shown that the intracellular concentration of a chelating fluorophore can be quite high and has a demonstrable effect on the estimation of steady state cytosolic free zinc ion concentration.8,49,51 It has been proposed that corrections for this effect can be made by taking measurements at different intracellular chelator concentrations and extrapolating to a zero concentration.8 The extrapolation function depends on the intrinsic buffering properties of the cells, which can vary under physiological conditions. A linear extrapolation may be permissible only under conditions where zinc is relatively well buffered with regard to the concentrations of the fluorophore. Thus, the chelating fluorophore should be kept to a minimum intracellular concentration to obtain the best estimates of cytosolic free zinc ion concentrations. In cultured primary cortical neurons, computational models of zinc homeostasis predicted that an intracellular concentration of 5 μM ZnAF-2F minimally affected estimates of steady state cytosolic free zinc ion concentrations because steady state zinc buffering in cultured neurons was apparently large enough to overcome the perturbing effect of this concentration of intracellular ZnAF-2F.7 Other issues that need to be addressed are whether or not the fluorescent probe localizes exclusively to the cytosol52 (although this is apparently not a problem for the genetically encoded FRET sensors), whether the binding of other metal ions interfere,42,43 or, whether or not the fluorescence enhancement is due to the probe forming ternary complexes with zinc-binding proteins.
To summarize, a variety of approaches unequivocally come to the same conclusion that steady state cytosolic free zinc ion concentrations are only picomolar to single digit nanomolar in eukaryotic cells. Yet, given the strong interactions of zinc with so many intracellular proteins, the steady state cytosolic free concentration and non-steady state fluctuations have significant implications for the physiology and pathophysiology of the cell.53–57 Thus, it is of much more than just academic interest to determine accurately the steady state concentrations of cytosolic free zinc ions and the size and duration of non-steady state changes in cytosolic free zinc ion concentration.
pZn = pKZn + log (L/ML) |
For most eukaryotic cells, we are just beginning to understand the factors that either sense or regulate the steady state levels of cytosolic free zinc ions.59 The only type of zinc ion sensor so far described in eukaryotic cells is a transcription factor that binds zinc ions in the cytosol and then translocates to the nucleus to direct the expression of proteins that lower the increased zinc ion concentrations to their steady-state levels. One might expect that the affinity of cytosolic zinc ion sensors defines the set point or upper limit for steady state cytosolic free zinc ion levels. For example, the affinity of the ZAP1 zinc sensor in yeast is nanomolar,60 thus one might predict that resting cytosolic free zinc ion levels in yeast should be no higher than low nanomolar. Only one zinc sensor (metal-response element-binding transcription factor-1: MTF-1) has been characterized in multicellular organisms,61 and its set point is also in the low nanomolar range.62 MTF-1 coordinates the expression of two important zinc homeostatic proteins: MT61 and zinc transporter-1 (ZnT1).63
Based on the above discussion of zinc buffering and muffling, it was not surprising that a steady state buffer model based on only cytosolic zinc-binding proteins was unable to match the time-dependent intracellular changes in cytosolic free zinc ion concentrations when zinc influx was increased. A more complex model that included a muffling reaction was required to match the measured time-dependent changes in cytosolic free zinc ion concentrations. The model is illustrated in Fig. 1A and B. The muffling model as presented contains the minimal number of components that could match the experimental data. The model includes a single intracellular store and cytosolic zinc ion-binding proteins capable of shuttling newly arrived cytosolic zinc ions into a cellular storage compartment. A high affinity cytosolic zinc-binding protein is required for the muffling reaction because cytosolic free zinc ion concentrations are maintained at low levels under all but the most extreme pathophysiological conditions. In addition, a high affinity transport mechanism into a store without cytosolic binding proteins would need to have unacceptably fast uptake kinetics to match the experimental data and likely would exist as nearly fully loaded with zinc ions even under steady state conditions. A cadre of high affinity cytosolic zinc-binding proteins, which can be nearly fully occupied with zinc ion under steady state conditions, (as discussed for MT in the muffler mechanism below) capable of transporting newly arrived zinc ions to the store solves this conundrum. The minimal muffling model satisfied all of the experimental constraints and provided good fits to time-dependent changes observed in cytosolic free zinc ion concentrations.7 However, it is appreciated that our minimal muffling model is just that—a simplification of a much more complex intracellular process and—it represents the aggregate properties of many individual processes cooperating in muffling cytosolic free zinc ion concentrations. We still have a limited understanding of these complex processes, but the next few paragraphs present a critical review of what is currently understood.
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Fig. 1 Model schematic of the key elements of intracellular zinc ion homeostasis. The key elements that control the steady state cytosolic free zinc ion concentration and modulate zinc ion transients in cultured rat cortical neurons are illustrated. Red dots represent zinc ions. (A) Steady state cytosolic free zinc ion concentrations are maintained at picomolar to single digit nanomolar concentrations primarily by the buffering action of cytosolic zinc ion-binding proteins that include metallothionein (MT). MT is illustrated with 5 of 7 zinc ion binding sites occupied at steady state. The store is illustrated at steady state with a small amount (relative to its total capacity) of zinc inside and a slow leak. Also illustrated is a zinc ion sensor protein that is unoccupied at steady state but which will bind zinc ions when the cytosolic free concentration increases sufficiently (see B). ZnAF-2F is a fluorophore that allows the experimenter to measure and image both the steady state and spatial and temporal characteristics of zinc ion transients using microfluorometry. ZnAF-2F will increase fluorescence output when bound to zinc ions (see B). (B) Net zinc ion influx is increased as a way to illustrate the functioning of muffling reactions and zinc ion sensing under non-steady state conditions. With an increase in fluorescence ZnAF-2F reports that cytosolic free zinc ion levels are changing as a result of zinc ion influx. Free zinc ions are shuttled to the intracellular store by muffling reactions, which require that zinc ions are first bound to MT or other zinc-binding proteins and then transferred to the store. The store begins to fill with zinc ions. The muffling reactions dampen the zinc ion transient and are responsible for its temporal and spatial characteristics. If cytosolic free zinc ion concentrations reach a sufficiently high level, zinc ions will bind to zinc ion sensors in the cytoplasm. Zinc ion sensors discovered to date are transcription factors that upon binding zinc ions translocate to the nucleus and effect changes in the expression of genes encoding zinc homeostatic proteins. |
Aside from the zinc ion transporters and the zinc ion sensor MTF-1, metallothioneins are the only proteins for which a participation in controlling zinc ion availability has been discussed. Mice null for the MT-1,2 genes are sensitive to the adverse effects of additional zinc in the diet and they are more susceptible to developing zinc deficiency, demonstrating a role of MTs in cellular zinc metabolism.73 However, the MT-k.o. mice are viable and reproduce. Thus, compensatory mechanisms may exist and/or MTs are only one of several zinc-binding proteins that participate in the control of cytosolic free zinc ion concentrations. There are at least two additional major isoforms, MT-3 and MT-4, in the mouse. These genes have not been ablated in the MT-1,2 k.o. mice. The human metallothionein family has at least a dozen proteins.74 With the exception of human MT-1B, MTs have twenty conserved cysteines, but they differ in their amino acid composition. They are expressed in a tissue-specific and protein-specific way and their expression is controlled by a large number of trans-acting factors. In particular, the expression of MTs, with the exception of MT-3, is controlled by zinc binding to MTF-1.
Changed expression patterns of MTs under many physiological, pathophysiological, and toxicological conditions (studied as altered transcript levels or total expressed protein) do not provide critical information about functional protein structure, such as how many of the twenty cysteines are in the reduced state and whether all or only a fraction of the twenty binding sites are occupied with zinc. The structural model of the protein shows twenty cysteines binding seven divalent metal ions in two metal/thiolate clusters.75,76 The biological significance of this structural model of MT is limited because interactions of the sulfur donors of the cysteines with metals and their redox activity are dynamic and are a basis for a biochemical mechanism of action as a redox-sensitive metal ion donor or acceptor.77 Interpretations of the functions of MTs need to consider the linkage between metal binding and the reactivity of the thiol ligands with a variety of agents, including its thiol/disulfide (redox) buffering capacity.78–80 In addition to changing its concentration as a way of altering its contribution to zinc buffering, oxidizing its thiol ligands or reducing its disulfides also changes its capacity to buffer zinc ions. In this way, redox changes affect steady state cytosolic free zinc ion concentrations.57
Experimental data on zinc binding to human MT-2 were interpreted with reference to the structural model with seven zinc ions binding with strong and virtually the same affinity in the two domains of the protein (Kd = 1.4 × 10−13 M).81 At a first glance, this interpretation seems credible, because, formally, all seven zinc ions are in tetrathiolate coordination environments in the two zinc/thiolate clusters. However, the coordination environments differ with regard to the number of bridging thiolates. The three zinc ions in the Zn3S9 cluster and two of the four zinc ions in the Zn4S11 cluster have two terminal sulfurs and two bridging sulfurs. The remaining two zinc ions in the Zn4S11 cluster have three bridging sulfurs, however. Examination of the zinc-binding properties of human MT-2 with fluorescent chelating agents demonstrated considerable differences in affinities. One zinc ion binds with only nanomolar affinity (log K = 7.7), two zinc ions bind with higher affinity (log K ≈ 10), and four zinc ions bind with picomolar affinity (log K = 11.8).82 Thus, the cluster structure decreases the affinities for some of the zinc ions and provides zinc ion affinities that vary over four orders of magnitude. As a consequence of these properties, metallothionein exists as multiple species: Zn7T, Zn6T, Zn5T, and Zn4T. The distribution of these species depends on the total concentrations of both the protein, i.e., thionein (T) and zinc ions. The low affinity for the seventh zinc ion and cellular zinc ion concentrations in only the picomolar range suggest that Zn7T, the form for which the 3D structure was determined, does not exist under normal physiological conditions. Indeed, the cellular protein binds additional zinc when zinc ions are added to a liver homogenate.72 The conclusion from these studies is that the protein can control zinc ion concentrations over at least three orders of magnitude and well into the nanomolar range, thus in a much wider range than originally thought based on a single average dissociation constant for all seven zinc ions. These properties demonstrate that MT is not a thermodynamic sink for zinc as was implicated by the model based on average tight binding. They also suggest that zinc is not buffered at a single pZn value throughout different cellular states. Changes in the distribution of MT species allow fluctuations of pZn that may be used for controlling biological functions. Further insights into the function of MT in zinc ion buffering and muffling have come from computational studies.
One of the first complexities added to the minimal muffler model was to test specific hypotheses about how cytosolic MT might participate in zinc ion buffering and muffling reactions. Recently obtained data on the binding constants of all seven zinc binding sites on MT-2 provide the necessary data to begin such an analysis.82 However, on and off rate constants for each of the binding sites and data on additional MT proteins, which are not available at present, would allow a much more sophisticated mathematical analysis of MTs' roles and considerably reduce the number of assumptions required to perform the analysis.
When MT was incorporated into the muffler model, using recently obtained data on the binding site affinities for its seven sites,82 and asked to function as the muffler, the model returned interesting insights into MT function. If MT were to be exclusively responsible for sequestration of zinc ions into the store, the required MT concentration would be 2 μM or higher. Remarkably, in these simulations the low affinity zinc binding site, site 7 (Kd of 20 nM), was capable of shuttling zinc ions to the intracellular store at least as effectively as site 6 (Kd of 100 pM) and more effectively than site 5 (Kd of 40 pM), despite having much less zinc ions bound at steady state (illustrated in Fig. 1B). This interpretation was dependent on the assumption that interaction of protein-bound zinc ions with the intracellular store was driven solely by the binding site affinity for zinc ions. This does not have to be the case if additional mechanisms control the transfer. For example, the zinc-binding proteins may release their bound zinc ions preferentially to different components of the intracellular store.
It is important to note that the zinc buffering and muffling functions of MT in the model could be obtained only with different affinities for zinc ions and not with a single global affinity for all seven zinc ions, emphasizing the significance of having discrete affinities for zinc ions for the function of MT. This interpretation contrasts with older notions of cellular MT with a single, average affinity for all seven zinc ions and existing as either fully metal-loaded or entirely metal-free. Thus, the zinc ion binding sites of cellular MT are likely to be partially loaded with zinc ions, as was borne out by cellular studies,83–85 and the lower affinity sites 5–7, in particular, function quite efficiently in a cellular muffling reaction. The observation of MT moving within the cell, e.g., the mitochondrial intermembrane space, further supports the interpretation that MT serves as a muffler. In cultured cortical neurons, MT is likely one component of a cadre of zinc-binding proteins with high affinity for zinc ions and participating in the muffling reaction in response to a zinc ion load. In resting cultured neurons, MT is poised to have a more prominent role in inducible changes in steady state zinc ion buffering. Increases in MT protein expression would force MT to become a more dominant cytosolic zinc ion-binding protein in the muffling reactions as well, which could change the spatial and temporal characteristics of subsequent cytosolic zinc ion transients. In other words, adaptations in intracellular zinc-binding capacity affect the way cells respond to zinc ions in time. Many physical and chemical treatments increase cellular MT levels several-fold.86 Importantly, many induction pathways include physiological signals, suggesting considerable regulation. There is direct experimental evidence of increased steady state cytosolic zinc buffering when MT expression increases in cultured cells.8,87
A zinc ion-containing endosomal/vesicular compartment in cultured neurons and many other cell types can be visualized using the zinc-selective fluorophore Zinquin.125–128 Zinc ions contained in vesicles are in a coordination environment that includes sulfur and nitrogen ligands.129 The vesicular/endosomal compartment is distinct from the Golgi apparatus and mitochondrial compartments in cultured neurons and may be involved in cellular trafficking of zinc ions.41 A transporter mechanism has yet to be shown to be associated with this zinc ion-containing compartment, sometimes referred to as zincosomes.129 Zinc ions accumulate in lysosomes, especially under oxidative stress, in cultured neurons.52 The transporter protein ZIP8 (SLC39a8) is localized to the lysosomal membrane in T cells,130 and ZnT2 (SLC30a2) to the lysosomal membrane in fibroblasts.131 Finally, ZnT8 (SLC30a8) is a zinc transporter of pancreatic islets required for zinc insulin crystallization within secretory vesicles, and it affects insulin secretion.132
Since extracellular concentrations of free zinc ions are much lower than those of calcium ions, zinc-specific channels would be ineffective as a mechanism of zinc entry; hence zinc-specific channels apparently do not exist (as is the case for other transition metals as well). However, it should be noted that a large body of experimental evidence shows that zinc ion entry through calcium and glutamate-operated channels occurs in cultured neurons when extracellular zinc ion concentrations are micromolar.96,138–143 As high concentrations of extracellular zinc ions are generally restricted to the nervous system, we believe that the primary source of cytosolic zinc ion signals in most cells stems from intracellular release mechanisms. What is the experimental evidence for the existence of such zinc ion signals? There are at least two biological mechanisms for the release of free zinc ions as putative signals. One is the release of zinc ions from cellular vesicles. It can involve the release of zinc ions to the extracellular space, such as in specialized neurons and the actions of zinc on the postsynaptic membrane,69 the release together with insulin from β-cells, where zinc ions may have a paracrine function on α-cells,144 receptor-stimulated release of zinc ions from an internal store in macrophages,145 or release from an intracellular store through the Zip7 transporter.146 A second mechanism is the function of zinc/thiolate coordination environments in proteins as redox transducers of redox signals into zinc “signals” through the particular chemistry of the cysteine ligands of zinc.79 Though both calcium and zinc are redox-inert metal ions, their mechanisms and functions in signalling are entirely different. The preference of calcium for oxygen ligands and the inclusion of nitrogen and sulfur ligands in the preferences of zinc mean that calcium and zinc select different coordination environments in proteins and thus target different proteins. Taken together, zinc and calcium ions signal over a wide range of cytosolic concentrations with different spatial and temporal characteristics and in this way zinc complements the capabilities of calcium.54 Key cellular processes responsible for such differences are the various muffling reactions specific for cytosolic calcium and zinc ions.
Though functional correlates have been described for each case of experimentally induced localized zinc “signals”, the specific molecular targets of zinc ions are not always well defined. Pleiotropic effects of zinc ions on various cellular signalling pathways have been documented.147 However, most of the experiments reported in the literature have not determined the changes in cytosolic free zinc ions associated with zinc's actions. Clearly, without such knowledge and without ascertaining that intracellular buffering and muffling is intact, a great number of mostly non-physiological effects may have been observed and reported owing to the strong tendency for zinc ions to bind to proteins. Thus we still do not know in most cases whether experiments purported to demonstrate that zinc ions affect signalling pathways reflect nonspecific actions at non-physiological concentrations or if genuine targets of zinc signalling have actually been identified. What we do know, however, is that physiological targets of zinc ion signals will need to be in the picomolar to low nanomolar range of concentrations. Global “signals” may also occur, because changes of steady state cytosolic free zinc ion concentrations have been observed in processes such as proliferation, differentiation, and apoptosis.8,80 Thus, conceptually, in the context of what we do know about cytosolic zinc ion buffering and muffling, there are two possible scenarios: first, release of zinc ions from an operated store (protein or vesicular) that functions rapidly followed by a slower re-adjustment to the previous steady state (muffling reactions), and second, longer lasting changes in steady state cytosolic free zinc ion concentration, either an increase or a decrease, as a result of adjustments in the concentrations of cytosolic zinc-binding proteins.
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