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* Department of Ophthalmology, College of Physicians & Surgeons, Columbia University, New York, New York;
Department of Pathophysiology, School of Sciences, University of Concepción, Chile; and
Department of Physiology and Biophysics, College of Physicians & Surgeons, Columbia University, New York, New York
Correspondence: Address reprint requests to Jorge Fischbarg, Dept. of Physiology, College of Physicians & Surgeons, 630 West 168th St., New York, NY 10032. Tel.: 212-305-9092; Fax: 212-305-2461; E-mail: jf20{at}columbia.edu.
| ABSTRACT |
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| INTRODUCTION |
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Exploration of the topology is also consistent with the 12-helix scheme. As illustrations, a conserved motif RXGRR is found in both loops 23 and 89 (residues R89R93 and R330R334, respectively; Sato and Mueckler, 1999
). The glycosylation site is at N45, as determined by SDS-PAGE and confirmed by mutagenesis (Asano et al., 1991
), and labeling with biotin revealed the extracellular location of residue K300 in the putative loop 78 (Preston and Baldwin, 1993
).
Studies in patients with the glucose transporter-1 deficiency syndrome (see De Vivo et al., 1991
) have located eight more residues crucial for transport in both helical and loop regions: S66 and T310 (Klepper et al., 1999
); G91 (Klepper et al., 2001
); R126 (Pascual et al., 2002
; Brockmann et al., 2001
; Wang et al., 2000
); E247 and K256 (Pascual et al., 2002
); and E146 and R333 (Wang et al., 2000
). Recently, studies have appeared in which the previously unknown structure of MFS 12 TM helical proteins has been solved by crystallography. An electronic density map for the oxalate transporter OxlT (TC No. 2.A.1.11.1) from Oxalobacter formigens was solved to 6.5 Å resolution (Hirai et al., 2002
), and subsequently the structures of the glycerol 3-phosphate antiporter GlpT from Escherichia coli (TC No. 2.A.1.4.3; see Huang et al., 2003
) and the lactose permease proton symporter LacY from E. coli (TC No. 2.A.1.5.1, see Abramson et al., 2003
) were solved at 3.3 Å and 3.5 Å resolution, respectively.
In lieu of missing crystallographic studies, a few models for Glut1 have been previously advanced. Gould and Holman (1993)
based theirs on a hypothetic arrangement of two 6-helical TM domains. Subsequently, Zeng et al. (1996)
proposed two possible schemes for helical packing using clusters of four transmembrane segments surrounding a central water-accessible channel for the substrate. A model of Glut3 was built on the basis of the crystallographic structure of a mechanosensitive channel of large conductance, plus general insights from aquaporin 1 (Dwyer, 2001
), and a model for Glut1 was developed by us based on a prior scheme for LacY helical packing (Zuniga et al., 2001
).
In an alignment of the sequences of the three MFS proteins recently crystallized (OxlT, GlpT, and LacY), the homology difference is 77.5%. However, the secondary structures and helical packing are markedly homologous, which indicates that there may be a universal fold for this family. Therefore it seems feasible to model MFS proteins by homology with those already crystallized, and to compare the resulting structure with experimental results such as those on accessibilities, solvent-exposed surface, densities, helicity, energies, and docking with substrates and inhibitors. We have presently done this for GLUT1; the structure obtained accounts for the biochemical and mutagenic evidence, and gives insight on the molecular mechanism of substrate migration, protein flexibility, and binding sites for glucose and the best-known inhibitors, forskolin, phloretin, and cytochalasin B (CytB). Importantly, the eight residues whose mutation leads to pathogenesis are seen to be located in the immediate vicinity of the transport channel, and are in a region of high relative mobility.
| MATERIALS AND METHODS |
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Molecular dynamics simulations (MDS)
We used the force-field GROMOS43a (van Gunsteren et al., 1996
). The protein was placed in a water box (solvation layer of
7 Å thickness). All runs were at 300 K with a time step of 2 fs. All bonds were constrained using the LINCS (Hess et al., 1997
) algorithm for the protein and SETTLE (Miyamoto and Kollman, 1992
) for water. We performed runs for 400 ps and for 2 ns. We used Berendsen's scheme for temperature and pressure coupling for both protein and solvent (water). Electrostatic forces were calculated with the particle-mesh Ewald algorithm. Initial energy minimization was done with the steep descent algorithm (1000 steps) followed by conjugate gradient to a maximum force of 0.1 KJ mol1 nm1. All simulations were performed with the MDS package GROMACS v3.14 (Lindahl et al., 2001
; Berendsen et al., 1995
). For trajectory analysis we used the tools included in GROMACS and VMD v1.82 (Humphrey et al., 1996
); the first 100 ps (equilibration) were neglected.
Transport channel prediction
To determine the passageway and cavities graphically we used VOIDOO (Kleywegt and Jones, 1994
) to generate the protein surface with a probe radius of 1.2 Å and grid spacing of 0.5 Å. Subsequently we used MAPMAN (Kleywegt and Jones, 1996
) to convert between the .ezd and .mask formats, and the passageway surface was calculated using the script cavities.mamac in the program MAMA (Kleywegt and Jones, 1999
). We used VMD (Humphrey et al., 1996
) to display graphical images.
Docking
The ligand coordinates for ß-D-glucose and forskolin were obtained from the PDBsum database (Laskowski et al., 1997
; http://www.biochem.ucl.ac.uk/bsm/pdbsum); phloretin and CytB were built manually and optimized with the MM+ force field in HYPERCHEM. A GROMACS-compatible file for dihedrals and topology was generated for each with the server PRODGR (van Aalten et al., 1996
) using the total-charge option, and not minimized. We prepared the initial Glut1A model for docking by running the 400-ps MDS in water referred to above. Docking for each ligand was explored separately using ZDOCK 2.3 (Chen and Weng, 2002
) in its default global-scanning mode, so that the program found the docking sites without intervention of the operator. The setting for "densities" (angular steps) was 6°, and for clusters of docking results we selected the 100 best. Promising docking results were subject to a further test by solvating with a water layer of
7 Å and running MDS for 100 ps with particle-mesh Ewald for electrostatic interactions (GROMACS force field). Analysis of binding site results was done with SPDBV 3.7 (Guex and Peitsch, 1997
) and the tools from GROMACS (Berendsen et al., 1995
; Lindahl et al., 2001
).
| RESULTS |
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The refined Glut1 model thus obtained by homology with GlpT was subject to extensive validation analysis. Statistical validations for bond lengths and angles and Ramachandran analysis were obtained with PROCHECK, and are shown in Table 1. This program, although permissive, is a first test that a model must definitely meet to be validated. The Glut1 model has no residues in the disallowed region, and has an excellent score (0.3) for the overall G-factor (bond lengths and angles). By comparison with our prior (Zuniga et al., 2001
) Glut1 model (Table 1), the current model has a larger number of residues in the core. In addition, the prior G-factor was deficient for a refined model. This trend continues with the data of Table 2, obtained with WHATCHECK, in which the Ramachandran plot appearance Z-score (RPA, col. 3) for Glut1 is exceedingly good (0.8). In all likelihood, the BBC and IOD parameters appear excessive only because the databases are not optimized for membrane proteins. Still, the Glut1 model scores are similar to those of the crystallographic structures. In several instances in Tables 1 and 2, the scores for Glut1 are better than those for the crystal structures. This is only due to the fact that the crystal structures have not had extensive refinement. Still, the scores also mean that no shortcomings are apparent for the Glut1 structure.
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36 x 26 Å, and from the bottom (Fig. 1 c),
46 by 27 Å. Its height is
61 Å and its shape is trapezoidal (Fig. 1 a). The tilts for the different helices vary, as shown in Fig. 1, b and c. Helix 10 has a small loop in the middle that presumably adds flexibility. The topology is consistent with the experimental constraints from the literature, described in the Introduction. As shown in Fig. 1 a, on the extracellular side, the glycosylation site N45 is in loop 12, the K300 site corresponds to loop 78, and the residue C429 is included in loop 1112. Intracellularly, loops 23 and 78 are characterized by the common motif RXGRR. As in its GlpT template, the long loop 67 (residues 208263) presents a short helix between residues R253 and E261.
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15 Å long and 7 Å wide. As Fig. 2 shows, another cluster of residues crucial for pathogenicity (G91, E146, E247, K256, and R333) appears bordering the cytoplasmic end segment of the channel. Fig. 3 displays a close-up view of the central segment of the channel, highlighting residues crucial for transport and selectivity.
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| DISCUSSION |
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The structure obtained by homology analysis (and communicated, Salas-Burgos et al., 2004, to the protein database) is the one represented in Figs. 1, 2, and 4 a. To examine functional aspects of the transporter, we deemed advisable to remove from the homology structure possible effects of the immobilization required for the crystallographic template, which is why the structure was subject to the short 400-ps simulation described resulting in a "relaxed" structure (Fig. 4 b). It is well accepted (Carruthers, 1990
) that Glut1 has two conformations for glucose binding, one intracellular and other extracellular. From Glut1 turnover rates (120450/s, Walmsley et al., 1998
) a minimum estimate for the time interval required for a conformational change is
1 ms. Obviously only a small fraction of the entire relevant conformational space can be sampled in 400 ps. Still, the short simulation may yield partial glimpses of the overall conformational change: an internal binding site is formed, and the Walker B motif fuses with the channel. Both Walker motifs have been reported to exert influence on transport through Glut1 (Liu et al., 2001
). The presence of charged cavities in our model therefore provides a possible framework for observed modulation of transport by ATP (Carruthers and Helgerson, 1989
; Liu et al., 2001
; Cloherty et al., 2001
).
The central channel is essentially formed by helices 2, 4, 5, 7, 8, and 10. The residues crucial for transport and pathogenicity (Fig. 2) are nucleated in two groups: one around the central channel, and the other on the long intracellular loop. The functional consequences observed are quite consistent with the model. The presence of solvent-accessible residues along the transport channel (Fig. 2) is logical in this context. In addition, a line of residues crucial for pathogenicity (E247, K256, R333) or transport (P387, W388) is located (Fig. 2) on or near the segment of the long intracellular loop that delimits the transport pathway, which again lends credence to the model.
We also explored the hydrophobic interactions between pairs of residues at points where helices cross each other. We hypothesized that mutations at those residues could affect packing or stability, with consequent effects on function. Table 4 shows these residues; as can be seen, mutations of some of them have been already determined to result in pathogenicity or to affect transport. It may be useful to study what effects could result from mutations at the other sites identified here, hitherto unexplored.
The shape of the transport pathway is noteworthy. The entrance at the extracellular end is funnel-like (infundibulum, Fig. 4 a), and at its bottom we find the docking sites described below. As for the intracellular end, interestingly, the horn-shaped pathway incurvates so that its exit is located almost to the side of the protein. It also expands into a cylindrical cavity
12 Å in diameter. Fittingly, prior observations from Carruthers' laboratory (Heard et al., 2000
; Cloherty et al., 2002
) of a delay in the substrate exiting the protein during influx had been already interpreted in terms of a cytoplasmic cavity in Glut1 (Heard et al., 2000
; Cloherty et al., 2002
). In addition, the position of the cytoplasmic orifice near the side of the protein would allow both monomer cytoplasmic cavities to join into a larger one for a dimer, as also predicted by Carruthers and co-workers (Heard et al., 2000
; Cloherty et al., 2002
).
Glucose (ß-D-glucopyranose) is at the same time hydrophilic due to its OH groups, and hydrophobic due to the pyranose ring. In E. coli maltoporin, a "greasy slide" made of aromatic residues has been linked to sugar transport (Van Gelder et al., 2002
). Interestingly, in our model the internal segment of the transport pathway (the channel) is lined by both hydrophilic and hydrophobic residues. Among them, many have been mutated and shown to be crucial for transport activityQ161, R126, Q279, Q282, N317, T321, W65, W388, W412, and V165 (all cited above). These characteristics are shown in detail in Fig. 3.
The conserved QLS motif starting at Q279 has been recognized as crucial for the selectivity of Gluts for the transported sugars (Seatter et al., 1998
; Olsowski et al., 2000
). Fittingly, it is near the extracellular entrance of the channel (Fig. 3), possibly positioned to discriminate against nonsubstrates attempting to enter the cell. Moreover, the sequence at that point is (279)QLSQQLS. As pointed out recently (Li et al., 2004
), at the second QLS site (one helix turn up from the first, at Q283), except for Glut11, the QQLS motif is very well conserved in all Gluts (114). This site is at the very extracellular end of the channel (Fig. 3), which forms a bottleneck there (Fig. 4 b). It is easy to speculate that this site may be also involved in selectivity, perhaps somehow interacting with the QLS site down the helix. Lastly, there is a QLG motif starting at position 161 (Fig. 3). Mueckler et al. (1994)
established that mutations of the well-conserved Q161 residue decreased transport 1050-fold. In our model, this QLG motif is at the intracellular end of the channel; if by analogy with the QLS this motif can also select substrates, it would be positioned to select molecules exiting the cell.
Even if speculative, there is a mechanism for substrate migration consistent with the model. It seems unlikely that glucose would form more than one or temporarily two H-bonds at any time. Formation of more H-bonds would stabilize the substrate in position, keeping it in place rather than facilitating migration. However, if glucose forms approximately one H-bond at a time, it could migrate along the channel by rolling along the wall, forming a new H-bond forward as the one in the back is being broken. Such rolling and sequential H-bonding has been seen by us in molecular dynamics simulations (unpublished data); H-bonding of the glucose substrate with crucial residues was seen in a molecular dynamics simulation done with a Glut3 model (Dwyer, 2001
). Moreover, the role of the hydrophobic residues would be to develop a stabilizing interaction with the hydrophobic C6 region of the substrate as it passes by. Such an interaction is seen in the glucose docking site shown in Fig. 5, a and b.
Docking sites
As can be seen in Fig. 5, glucose, forskolin, and phloretin dock at sites in very close mutual proximity on the exofacial vestibule of the Glut1 model; the model is consistent with great steric interference by the inhibitors with the exofacial glucose docking site. Regarding forskolin and glucose, in an analysis of interactions of both with Glut1 it was concluded that a carbohydrate was recognized within the forskolin functionalities (Joost et al., 1988
). As for phloretin, its phenol ring appears to sit in the same pocket as glucose, and is stabilized in place by three H-bonds to its benzene-1,3,5-triol ring. As one would expect, the inhibitors develop more interactions than glucose with the protein (Fig. 5), which would of course stabilize them in place so as to obstruct glucose docking.
The interactions of forskolin with its exofacial site resemble those of glucose (compare to K38, W65, Fig. 5, b and c). We speculate therefore that there may be a potential docking site for glucose at or near the forskolin endofacial site, but it is not made evident in the particular conformation sampled by the simulation. If that would be the case, one would predict competitive inhibition of glucose transport by both forskolin and phloretin at both exofacial and endofacial sites. There are findings in the kinetic literature that are consistent with two binding sites (Helgerson and Carruthers, 1987
) and the inherent complex behavior (Carruthers, 1990
). Interestingly, anomalous kinetics in Glut1 have also been accounted for in a kinetic scheme (Hernandez et al., 1996
) with two sites and two conformational states.
As mentioned above, the putative recognition site for sugars, the QLS motif, is at the extracellular end of the channel, and there is a QLG site at the intracellular end of the channel. The docking algorithm does not find glucose at those sites. It is conceivable that this may be due to the particular channel conformation sampled in the simulation. However, gossypol, which has been linked to inhibition of glucose transport (Christensen et al., 1987
), is found at sites inside the channel by the docking algorithm (data not shown). From this we presume that if glucose would bind strongly inside the channel, the docking algorithm would find it there; it does not. This seems logical; as the substrate enters the channel, it would be most efficient if it would traverse it quickly. In this context, selectivity sites inside the channel would allow passage or not, but would not bind substrate tightly.
Concerning another well-known Glut1 inhibitor, CytB, the docking algorithm found for it only one cluster with very high score, and no other clusters at all. It was on the intracellular side, as experiments had shown (Helgerson and Carruthers, 1987
; Carruthers, 1990
). However, the site (Fig. 5 g) is different than that predicted by several other studies (with interactions with helices 10 and 11; Baldwin, 1993
) near W388 (Garcia et al., 1992
; Kasahara and Kasahara, 1998
). Still, the present findings are internally consistent in that the CytB site is close (3 Å) to the endofacial site for forskolin and phloretin (Fig. 5, a and ef), and close enough to the endofacial channel opening to interfere with glucose passage. It seems noteworthy that the present CytB site appears to be a pocket lined with several positively charged and polar residues (Fig. 5 g), which might attract a molecule with moderate dipole moment such as CytB.
The role of the cavities described here is unclear. On the other hand, there is a body of literature on compounds that interact with Glut1 and may exert regulatory influence on it, namely nucleotides and analogs, flavonoids, antiestrogens, androgens, antiandrogens, barbiturates, and catechins (Honkanen et al., 1995
; Afzal et al., 2002
; Martin et al., 2003
; Naftalin et al., 2003
). Perhaps the cavities may act as binding sites for such modulators.
In summary, there is ample evidence to validate the present model of Glut1. It arises from a crystallographic structure template, it stands optimally in terms of statistics and energetics, and accounts for practically all published biochemical, physiological, and mutagenesis evidence. Some aspects that remain to be elucidated include the binding site for CyB and the existence and location of an endofacial binding site(s) for glucose. Still, the present model may be useful in elucidating the connection between the structure and the function of Glut1 and related molecules.
The present Glut1 coordinates have been communicated to the RCSB Protein Data Bank (entry No. 1SUK).
| ACKNOWLEDGEMENTS |
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| FOOTNOTES |
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Submitted on June 18, 2004; accepted for publication August 9, 2004.
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