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http://www.diva-portal.org This is the published version of a paper published in Journal of Molecular Biology. Citation for the original published paper (version of record): Lloris-Garcerá, P., Slusky, J., Seppäla, S., Priess, M., Schäfer, L. et al. (2013) In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models. Journal of Molecular Biology, 425(22): 4642-4651 http://dx.doi.org/10.1016/j.jmb.2013.07.039 Access to the published version may require subscription. N.B. When citing this work, cite the original published paper. Permanent link to this version: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-94831 Article IMF YJMBI-64184; No. of pages: 10; 4C: 4, 5, 6, 7 In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models Pilar Lloris-Garcerá 1 , Joanna S.G. Slusky 1, 1 , Susanna Seppälä 1, 2 , Marten Prieß 2 , Lars V. Schäfer 2 and Gunnar von Heijne 1, 3 1 - Center for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University, SE-10691 Stockholm, Sweden 2 - Institute of Physical and Theoretical Chemistry, Goethe-University Frankfurt, Max-von-Laue-Straße 7, D-60438 Frankfurt am Main, Germany 3 - Science for Life Laboratory, Stockholm University, SE-17177 Solna, Sweden Correspondence to Gunnar von Heijne: Center for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University, SE-10691 Stockholm, Sweden. Center for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University, SE-10691 Stockholm, Sweden. [email protected] http://dx.doi.org/10.1016/j.jmb.2013.07.039 Edited by J. Bowie Abstract The quaternary structure of the homodimeric small multidrug resistance protein EmrE has been studied intensely over the past decade. Structural models derived from both two- and three-dimensional crystals show EmrE as an anti-parallel homodimer. However, the resolution of the structures is rather low and their relevance for the in vivo situation has been questioned. Here, we have challenged the available structural models by a comprehensive in vivo Trp scanning of all four transmembrane helices in EmrE. The results are in close agreement with the degree of lipid exposure of individual residues predicted from coarse-grained molecular dynamics simulations of the anti-parallel dimeric structure obtained by X-ray crystallography, strongly suggesting that the X-ray structure provides a good representation of the active in vivo form of EmrE © 2013 The Authors. Published by Elsevier Ltd. All rights reserved. Introduction EmrE is a prototypical Escherichia coli inner membrane protein belonging to the small multidrug resistance family of secondary transporters [1]. It imparts resistance to toxic compounds such as ethidium bromide (EtBr), methyl viologen, and acriflavin [2]. The active form of EmrE is a homodimer [3]; the monomer is 110 amino acids long and has four transmembrane helices (TMHs) [4]. The structure of the active EmrE dimer has been intensely discussed for more than a decade. Early biochemical work suggested that the dimer is formed by two parallel monomers [5,6]. In contrast, electron crystallography of two-dimensional crystals showed an approximate 2-fold symmetry axis in the plane of the membrane, as expected for an anti-parallel dimer [7]. A structure of detergent-solubilized EmrE with bound substrate obtained by X-ray crystallography also shows an anti-parallel homodimer [8]; however, the relevance of this structure has been questioned since the detergent used was one in which EmrE has impaired substrate binding [9]. A computational model of an anti-parallel EmrE homodimer produced before the X-ray structure was available [10], shows good overlap with the X-ray structure. The electron crystallography structure only shows the electron density of the TMHs in outline, while both the X-ray structure and the computational model define C α positions for all residues in the TMHs but do not include side-chain atoms. Recent biochemical work and functional studies of EmrE mutants with altered orientation in the inner membrane [11–16] show that wild-type EmrE is a dual-topology protein; that is, it has a mixed membrane orientation with approximately equal fractions of molecules orientated Nin-Cin and Nout-Cout. Moreover, EmrE appears to be able to form both parallel and anti-parallel 0022-2836/$ - see front matter © 2013 The Authors. Published by Elsevier Ltd. All rights reserved. J. Mol. Biol. (2013) xx, xxx–xxx Please cite this article as: Lloris-Garcerá Pilar, et al, In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models, J Mol Biol (2013), http://dx.doi.org/10.1016/j.jmb.2013.07.039 2 In Vivo Trp Scanning of Emr homodimers in the membrane, with the anti-parallel form being the more stable one [17]. Given the critique that has been directed against the X-ray structure of EmrE [9], its rather low resolution, and the lack of side chains in the extant structural models, we decided to challenge these models using Trp-scanning mutagenesis combined with functional studies in vivo. The idea behind Trp scanning is that the bulky Trp side chain is likely to cause large enough structural perturbations to affect function if placed in buried locations inside a membrane protein, while its effect will be minimal if placed in lipid-exposed locations [18,19]. Here, we report a total of 60 Trp mutations throughout all four TMHs of EmrE and show that the results are in very good agreement with lipid exposures obtained from coarse-grained (CG) molecular dynamics (MD) simulations based on the X-ray structural model. Functional data obtained for single-residue Trp mutations in vivo thus provide strong support for the anti-parallel homodimer models obtained by X-ray crystallography and molecular modeling. Results Activity and dimerization assays When expressed even at low levels in E. coli, EmrE confers resistance to a range of toxic cationic hydrophobic compounds such as EtBr, methyl viologen, and acriflavin. Simple growth assays can thus be used to assess the activity of EmrE mutants in vivo [20]. Normalized growth rates for different mutants can be obtained from serial dilutions of cell cultures spotted on EtBr-containing plates [11], as shown in Fig. 1. Further, the relative stability of dimeric versus monomeric forms of EmrE mutants can be determined by blue-native PAGE (BN-PAGE) analysis of radiolabeled protein solubilized in the mild detergent n-dodecyl-β-D-maltoside (DDM) [17]. Trp-scanning mutagenesis of EmrE TMH1–TMH4 We replaced each residue in TMH1–TMH4 by Trp (except for the native Trp residues W45 and W63). Normalized growth rates for all mutants are shown in Fig. 2a. The activity data display a typical α-helical periodicity for all four TMHs. We further tested the ability to form dimers by BN-PAGE [17] and found only one mutant (G67W in TMH3) that was strongly shifted toward the monomeric state (Fig. 2b). The G65W mutant also seems to be affected, but not to the same extent as G67W. No strong effects on dimerization were found for any of the mutations in TMH1, TMH2, and TMH4 (data not shown), showing that the Trp mutations mainly affect the local protein structure rather than the overall stability of the dimer. The mutational data are overall consistent with the anti-parallel 3D models In order to compare the results from the Trp scan with the published structural models—which do not empty vector EmrE wt I58W A59W Y60W A61W I62W S64W G65W Normalized growthmutant = (growthmutant growthempty vector)/(growthWT V66W growthempty vector) G67W I68W Dilution factor (log10) 0 1 2 3 4 5 6 Fig. 1. In vivo activity assay. The left-hand panel shows growth of 10-fold serial dilutions of cells carrying different Trp mutants in TMH3 on LB agar (pH 7) plates containing 45 μg/ml EtBr. The normalized growth for a given mutant is calculated by dividing the area under its regression line relative with the area obtained for wild-type EmrE, after subtraction of the area for the empty vector, as shown in the right-hand panel. Please cite this article as: Lloris-Garcerá Pilar, et al, In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models, J Mol Biol (2013), http://dx.doi.org/10.1016/j.jmb.2013.07.039 3 In Vivo Trp Scanning of Emr (a) 1.6 Normalized growth TMH2 TMH3 I58 A59 Y60 A61 I62 W63 S64 G65 V66 G67 I68 V69 L70 I71 S72 L73 L74 TMH1 1.2 S33 V34 G35 T36 I37 I38 C39 Y40 C41 A42 S43 F44 W45 L46 L47 A48 1.4 TMH4 1.0 0.8 0.6 0.4 A87 I88 I89 G90 M91 M92 L93 I94 C95 A96 G97 V98 L99 I100 I101 N102 0.0 G9 A10 I11 L12 A13 E14 V15 I16 G17 T18 T19 L20 M21 0.2 -0.2 (b) Monomer Dimer Tetramer * Normalized growth Wt I58W 1 0.3 A59W Y60W 0.0 0.0 A61W I62W S64W G65W 0.0 0.7 0.0 0.0 V66W G67W I68W V69W 0.0 0.0 0.2 0.6 L70W I71W S72W L73W 0.5 0.0 0.6 0.8 L74W 1.2 Fig. 2. Trp-scan data. (a) Resistance toward EtBr was measured using the plate growth assay described in Fig. 1. Growth densities were normalized against the growth density measured for cells expressing wild-type EmrE. The residue mutated to Trp is shown on the abscissa. Error bars indicate ± 1 standard error. (b) BN-PAGE electrophoresis of wild-type EmrE and Trp mutants in TMH3. Normalized growth values from (a) are given for each mutant. Monomers, dimers, and higher oligomers (probably tetramers) are indicated. The G67W mutant is marked by an asterisk (*). include amino acid side chains—we first built a complete atomistic structure (i.e., with side chains) based on the C α positions available in the X-ray crystallography structure [8], as described in Materials and Methods (see Fig. S1). We used this model as a starting structure for two extended 500-ns CG-MD simulations of tetraphenylphosphonium (TPP)-bound EmrE in a dimyristoylphosphatidylcholine (DMPC) bilayer (see Materials and Methods): a “free” simulation where the entire protein was free to move and a “restrained” simulation in which harmonic position restraints on the backbone kept the backbone structure very close to that of the starting structure. The motions of the lipid and water molecules were not restricted. From both simulations, the degree of lipid exposure of each residue in TMH1–TMH4 was then calculated by averaging over the entire trajectory (see Materials and Methods). Since the two monomers in the dimer have non-identical conformations in the X-ray structure [8], the degree of lipid exposure was calculated separately for the two chains. In general, the Trp-scan results track the lipid exposure data obtained from the “restrained” CG-MD simulation very nicely (Fig. 3a), for both chain A and chain B (since the lipid exposure profiles are almost identical for the “restrained” and “free” models, see Fig. S2, this conclusion holds true also for the latter). Since the two chains do not have identical conformations and because we cannot know a priori whether a given Trp mutation exerts its effect mainly when the chain is in conformation A or B (or in some intermediate conformation), we also present a difference plot where, for each residue in Please cite this article as: Lloris-Garcerá Pilar, et al, In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models, J Mol Biol (2013), http://dx.doi.org/10.1016/j.jmb.2013.07.039 4 In Vivo Trp Scanning of Emr (a) 1.4 1.2 Normalized growth, lipid exposure TMH1 TMH2 TMH3 TMH4 1.0 0.8 0.6 0.4 A87 I88 I89 G90 M91 M92 L93 I94 C95 A96 G97 V98 L99 I100 I101 N102 I58 A59 Y60 A61 I62 W63 S64 G65 V66 G67 I68 V69 L70 I71 S72 L73 L74 S33 V34 G35 T36 I37 I38 C39 Y40 C41 A42 S43 F44 W45 L46 L47 A48 0.0 G9 A10 I11 L12 A13 E14 V15 I16 G17 T18 T19 L20 M21 0.2 -0.2 (b) 1.5 * 1.0 TMH1 TMH2 * * TMH3 TMH4 * * A87 I88 I89 G90 M91 M92 L93 I94 C95 A96 G97 V98 L99 I100 I101 N102 I58 A59 Y60 A61 I62 W63 S64 G65 V66 G67 I68 V69 L70 I71 S72 L73 L74 S33 V34 G35 T36 I37 I38 C39 Y40 C41 A42 S43 F44 W45 L46 L47 A48 0.0 G9 A10 I11 L12 A13 E14 V15 I16 G17 T18 T19 L20 M21 0.5 -0.5 * -1.0 * -1.5 Fig. 3. Trp-scan activity data correlate with lipid exposure. (a) The normalized growth density for the Trp mutants in Fig. 2 (black) is overlaid with the degree of lipid exposure of each residue obtained from the CG-MD simulation (the data shown are from the “restrained” simulation, and very similar results were obtained from the “free” simulation; see Fig. S2 in Supporting Information). Lipid-exposure values for the two chains in the homodimer are shown in blue and red. (b) Difference between the normalized growth density and the minimal degree of lipid exposure (either from chain A or from chain B) for each residue. Residues for which the absolute difference is N 0.5 are indicated by asterisks (*). TMH1–TMH4, we chose the lipid-exposure value from chain A or chain B that was the lowest (and hence where a Trp mutation would be expected to have the larger effect) (Fig. 3b). From the difference plot, the most obvious discrepancies between the Trp-scan data and the lipid-exposure data are for residues T36 and G65 (both the corresponding Trp mutants have low activity but high lipid exposure) and for L20, I37, I62, L74, and C95 (the correspond- ing Trp mutants all have high activity but low lipid exposure). Among the mutants with high activity but low lipid exposure, the mutated residues L20, I37, I62, and L74 are all close to the ends of TMH1–TMH3, are far from the substrate-biding site, and are buried mainly by loops that extend above the membrane (Fig. 4a). Mutating them to Trp is therefore unlikely to disturb the packing of the TMHs to any great degree; Please cite this article as: Lloris-Garcerá Pilar, et al, In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models, J Mol Biol (2013), http://dx.doi.org/10.1016/j.jmb.2013.07.039 5 In Vivo Trp Scanning of Emr (a) L74 L20 I62 I37 I62 C95 C95 L74 I62 L20 I62 I37 C95 I37 C95 I37 L20 L74 L20 L74 (b) T36 T36 G65 G65 G65 T36 T36 G65 Fig. 4. Residues identified from the difference plot in Fig. 3b mapped onto the “restrained” structural model. (a) Residues for which the difference between the normalized growth density of the Trp mutant and the minimal degree of lipid exposure is N 0.5 (L20, I37, I62, L74, C95). Views from the membrane and from the top of the protein are shown. (b) Residues for which the difference between the normalized growth density of the Trp mutant and the minimal degree of lipid exposure is less than − 0.5 (T36, G65). Bound substrate (TPP) is shown in yellow. indeed, none of these residues are highly conserved among EmrE homologs (Fig. 5). The final mutated residue among the mutants with high activity but low lipid exposure, C95, is near the middle of TMH4 and is exposed to lipid in one protomer but buried between TMH4 and TMH3 in the other. It is far away from the substrate binding site and is not highly conserved. Mutating C95 to Trp is likely to lead to a significant shift of TMH4 relative to TMH3, but this clearly does not cause a major defect in substrate binding and translocation. Despite being lipid exposed in the structural models (Fig. 4b), the mutated Gly residue in the low-activity mutant G65W is highly conserved (Fig. 5). It is only two residues away from the absolutely conserved substrate-biding residue W63 and only two residues from the highly conserved and totally buried G67. This part of TMH3 is clearly essential for the function of EmrE, and none of the residues S64 to G67 can be mutated to Trp without loss of function. Earlier work has shown that the G65C mutation has reduced growth in EtBr, and the G67C mutant becomes fully sensitive to EtBr [24]. As seen in Fig. 2b, the G67W mutation is the only Trp mutation in the whole protein that has a major destabilizing effect on the dimer form as assayed by BN-PAGE, further illuminating the critical importance of the S64–G67 region. However, the low-activity, high-lipid-exposure mutant T36W remains a puzzle. This lipid-exposed residue is located near the end of TMH2, is far from the substratebiding site, and is poorly conserved (Fig. 4b). Nevertheless, a T36C mutant has a measurable reduction in activity toward methyl viologen and acriflavin (though not toward EtBr) [20] and the T36W mutation essentially inactivates EmrE. This is not readily understandable in terms of the structural model and may reflect dynamic aspects of the transport cycle. Implications of Trp-scan data for parallel dimer models There is only one published parallel dimer model for EmrE [25]. This model was produced before the Please cite this article as: Lloris-Garcerá Pilar, et al, In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models, J Mol Biol (2013), http://dx.doi.org/10.1016/j.jmb.2013.07.039 6 In Vivo Trp Scanning of Emr TMH1 TMH2 TMH3 TMH4 Fig. 5. Logo plot (http://weblogo.berkeley.edu) based on the seed alignment (17 sequences, including E. coli EmrE) for the Pfam [21] Multi_Drug_Res family (PF00893). The height of each column indicates the sequence conservation (in bits), and the size of each residue symbol within a column is proportional to its frequency at that position [22,23]. X-ray structure was available and relied heavily on sequence conservation and inter-subunit cross-linking data. While this model is not deposited in the PDB, it is nevertheless clear from the published figures that the dimer interface is entirely different in this model compared to the X-ray and computational anti-parallel models, with TMH1 in one protomer interacting with TMH4 in the other. The dimer interface in the parallel model includes residues I88, M92, L99, and C95 in TMH4, all of which can be mutated to Trp without disturbing the in vivo activity of EmrE (Fig. 2a). This model is thus not compatible with the Trp-scan data. It is not possible to rule out that other parallel models that better fit the Trp-scan and other available data can be built, though it was noted by Fleishman et al. in 2006 that they were unsuccessful in building a parallel model that fit the biochemical and biophysical data then available [10]. However, one particular class of parallel dimer models appears to be ruled out by the Trp-scan data. Both G90 and G97 have been shown to be important for dimer formation [24], and both are in the TMH4–TMH4 interface in the anti-parallel X-ray structure (Fig. 6a). Parallel dimer models with G90 and G97 in the TMH4–TMH4 interface and where the TMH4–TM4 pair is located at one end of the dimer (as in the X-ray structure) are incompatible with the Trp-scan data, as shown in Fig. 6b. Discussion Given the relatively low resolution of the X-ray crystallography model of EmrE, its lack of side chains, and the apparent risk of detergent-induced artifacts in X-ray structures of small membrane proteins [26], we decided to challenge the structural model by a comprehensive Trp-scanning mutagen- esis of all four TMHs in EmrE, using a quantitative in vivo growth assay to score the effect of the mutations. Trp has the bulkiest side chain of all natural amino acids and will significantly perturb the packing, and hence likely the activity, of a membrane protein if introduced in buried locations, at least for small proteins. Lipid-exposed surface residues, in contrast, are generally not sensitive to Trp replacements [18]. Trp scanning can therefore be used to generate data to be used in structural modeling or, as we have done, to serve as a stringent test of available structural models. Overall, there is a very good fit between the Trp-scan activity data and the lipid exposure of individual residues as predicted from the X-ray structure of EmrE. We find only a handful of residues for which the Trp-scan data do not match the lipid-exposure values, and all but one of these conflicts have plausible explanations in terms of the location of the residues within the structure. The only result that cannot be readily explained is the inactivity of the T36W mutation: this residue is clearly exposed to lipid in both chains of the monomer, is located at the end of TMH2 far from the substrate-biding site, and is poorly conserved among EmrE homologs. We speculate that, since Trp residues interact favorably with lipid head groups [27–29], the introduction of a Trp residue near the end of TMH2 may cause a shift in the position of TMH2 in the membrane, thereby indirectly affecting substrate biding or blocking the transition between inward-open and outward-open conformations of the transporter. Nevertheless, for the overwhelming majority of the 60 Trp mutants that we have tested, there is a next-to-perfect fit between the Trp-scan data and the lipid-exposure values calculated from the structure. It thus appears that the functional protein in its Please cite this article as: Lloris-Garcerá Pilar, et al, In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models, J Mol Biol (2013), http://dx.doi.org/10.1016/j.jmb.2013.07.039 7 In Vivo Trp Scanning of Emr (a) TMH1 TMH2 TMH3 TMH4 TMH2 TMH1 TMH4 anti-parallel C95 I88 L99 parallel C95 M92 N102 M91 M92 TMH4 I89 I100 I94 L93 L93 I101 lipid G90 G97 G90 G97 I94 G90 protein I101 I101 TMH4 A87 I100 I94 A96 V98 I89 A87 protein L99 M91 A96 V98 I88 N102 G97 G97 G90 I101 L93 L93 I94 I100 A87 A87 I100 TMH4 V98 I89 I89 TMH4 A96 M91 lipid (b) TMH3 V98 M91 A96 N102 N102 C95 I88 L99 M92 M92 L99 I88 C95 Fig. 6. Parallel and anti-parallel TMH4–TMH4 packing models. (a) X-ray structure of EmrE with residues G90 and G97 in TMH4 shown in space-filling representation. (b) Helical-wheel plots of two TMH4 helices packed in an anti-parallel orientation (left) and in a parallel orientation (right) with G90 and G97 (yellow) located in the TMH4–TMH4 interface. Residues that yield inactive protein when mutated to Trp are indicated in red and yellow, and those that can be mutated to Trp with no effect on activity are indicated in blue. In models where the TMH4 pair is located at one end of the dimer, as in the X-ray structure, only the anti-parallel arrangement consistently places all the red, mutation-sensitive residues toward the rest of the protein and the blue, mutation-insensitive residues toward the lipid. natural environment is very similar in structure to the X-ray crystallography model. Wycombe, UK). All other reagents were from Sigma-Aldrich (St. Louis, MO, USA). Materials and Methods Cloning and mutagenesis Enzymes and chemicals All enzymes were from Fermentas (St. Leon-Rot, Germany), except for Pfu Turbo DNA polymerase from Stratagene (La Jolla, CA, USA). The complete supplement mixture of amino acids minus methionine (CSM amino acids − Met) was from MP Biomedicals (Illkirch Cedex, France). Oligonucleotides were from Eurofins MWG Operon (Ebersberg, Germany) and CyberGene (Stockholm, Sweden). L-[ 35S]methionine was from PerkinElmer (Waltham, MA, USA). DDM was from Affymetrix-Anatrace (High Trp mutations were generated by PCR mutagenesis of the gene encoding EmrE. All constructs were cloned into the pET Duet-1 vector (Novagen). The vector contains two multiple cloning sites (MCS), each preceded by a T7 promoter/lac operator and a ribosome binding site. One combination of primer-introduced restriction sites was used for cloning purposes: 5′NcoI/3′BamHI in MCS1. The 5′-restriction site in MCS1 results in an extra Gly residue following the initial Met; this does not affect the activity of the protein. All constructs were confirmed by DNA sequencing at Eurofins MWG Operon (Ebersberg, Germany). Please cite this article as: Lloris-Garcerá Pilar, et al, In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models, J Mol Biol (2013), http://dx.doi.org/10.1016/j.jmb.2013.07.039 8 In Vivo Trp Scanning of Emr EtBr resistance assay We spotted 5 μl of serially log10-diluted stationary-phase cultures of E. coli BL21(DE3) carrying the relevant plasmids on agar plates supplemented with 45 μg/ml EtBr, 100 μg/ml ampicillin, and 30 mM 2-[bis(2-hydroxyethyl)amino]-2-(hydroxymethyl)propane-1,3-diol (pH 7). Following overnight incubation at 37 °C, we photographed the plates using a CCD camera, and we quantified growth density using ImageGauge V4.23. Growth density of each mutant's spot dilutions was plotted against the dilution factor. The best-fit line was calculated, and the growth of each mutant was quantified as the area beneath the best-fit line. Each mutant's growth was normalized using the equation Normalized growthmutant = (growthmutant − growthempty vector)/(growthWT − growthempty vector). The assay was repeated at least three times. To avoid toxic EmrE levels, we used no inducer (IPTG) in the assay [12]. Selective radiolabeling Proteins were selectively labeled with [ 35S]methionine using the rifampicin blocking technique [30]. E. coli BL21(DE3) cells expressing EmrE variants were grown to an OD600 of approximately 0.5 at 37 °C. Cells were harvested by centrifugation at 1300g for 5 min in a tabletop Eppendorf centrifuge, resuspended, and starved for 90 min in minimal medium (M9 salts, 100 μg/ml thiamine, 0.1 mM CaCl2, 1 mM MgSO4, 0.4% glucose, 1 mg/ml CSM amino acids minus methionine, and 100 μg/ml ampicillin). After inducing with 1 mM IPTG for 10 min, we added 0.2 mg/ml rifampicin and continued incubation for 15 min. Proteins were labeled with 15 μCi [ 35S]Met for 3 min and put on ice for 2 min to stop the reaction. Analysis of dimer formation by BN-PAGE EmrE variants were labeled with [ 35S]Met as described above, and the preparation of the samples was carried out as described in Ref. [31]. Briefly, cells were lysed in water and 0.4 mg/ml lysozyme (45 min at 30 °C and slow shaking) and the membrane fraction was collected by ultracentrifugation (40 min, 200,000g, 4 °C) using a Beckman TLA55 rotor. The pellet was resuspended in ACA buffer {750 mM amino-n-caproic acid, 50 mM 2-[bis(2-hydroxyethyl)amino]-2-(hydroxymethyl)propane-1,3-diol, and 0.5 mM ethylenediaminetetraacetic acid (pH 7.0)}, and n-dodecyl-α-D-maltopyranoside (DDM) was added to a final concentration of 0.5% (w/v). After a 1-h incubation on ice, non-solubilized material was removed by ultracentrifugation (40 min, 200,000g in TLA55 rotor at 4 °C), and G250 solution [5% (w/v) Coomassie Brilliant Blue G in ACA buffer] was added to the supernatant. The samples were loaded on a 5–15% blue-native gradient gel (14 cm × 20 cm × 1.5 mm) and run at 75 V, 10 mA/gel for 1 h, and then at 385 V, 10 mA/gel for 17 h at 4 °C. Gels were fixed, dried, and scanned in a Fujifilm FLA-3000 imager. MD simulations A complete atomistic model of dimeric EmrE was built using MODELLER (v9.11) [32], using the C α X-ray crystal structure of EmrE (PDB ID: 3B5D [8] as a template. From 100 generated structures, the one with the lowest C α RMSD from the X-ray crystal structure (0.046 nm) was selected. In principle, this structure could have been used as a starting structure for atomistic MD simulations. However, the precise orientation of the side chains may differ from the true structure, which may cause unwanted structural deviations. Hence, we chose a CG model in conjunction with an elastic network (see below). The elastic network kept the EmrE backbone within an RMSD of b 0.3 nm of the starting structure, while allowing free motion of the side chains. For the determination of the initial orientation of EmrE in the membrane, the OPM Web server [33] was used. Afterwards, the structure was converted into the CG representation with the martinize.py script [34] using the MARTINI v2.2 force field [34–36]. For generating the CG topology, we assigned the secondary structure with the program DSSP [37]. Care was taken that the TMH1–TMH4 were defined as continuous helices in the topology. The ELNEDYN elastic network model [38] was applied, with C α beads within a distance below 0.9 nm being connected with harmonic potentials (force constant, 500 kJ mol − 1 nm − 2). The TPP cation, which was not considered in our initial modeling step, was inserted at a position corresponding to that in the X-ray crystal structure. In our CG representation, TPP consists of four MARTINI phenyl rings (modeled by three-membered rings composed of SC5-type beads), which are connected via a central phosphorus atom that carries the positive charge (SQ0-type bead). All bonds within the TPP molecule were treated as constraints, with the distance between the P-atom and the connected carbon beads in the phenyl rings set to 0.181 nm. Harmonic potentials were applied for the angles between the phenyl rings (connected via the central P-atom), with an equilibrium angle of 109.6° and a force constant of 200 kJ mol − 1 rad − 2. Within TPP, non-bonded interactions between 1,2- and 1,3-connected beads were excluded. Although no restraining potentials were applied on the substrate, TPP stayed bound to the protein at a position in between the two E14 residues throughout the CG-MD simulations. For the insertion of the protein into the membrane, the oriented EmrE structure was positioned in a pre-equilibrated solvated DMPC bilayer, as predicted by the OPM Web server. All lipid and water molecules that had at least 1 bead within 0.2 nm of the protein were removed from the system, yielding a simulation system composed of TPP-bound EmrE, 278 DMPC lipids, and 3116 water molecules (1 CG water bead represents 4 atomistic water molecules). A single water bead was replaced by a chloride ion to neutralize the net charge of the simulation system. The system was energy minimized (1000 steps steepest descent) and simulated for 1 ns in the NVT ensemble with an integration time step of 5 fs and harmonic position restraints on all protein beads (force constant, 1000 kJ mol −1 nm −2). All simulations were carried out with the Gromacs (v4.5.5) MD package [39]. The MARTINI v2.2 force field [34] was used together with a 20-fs integration time step. Coulomb interactions were screened with a relative dielectric constant of εr = 15. The Lennard-Jones (6,12) and Coulomb potentials were smoothly shifted to zero between 0.9 nm and 1.2 nm and between 0 nm and 1.2 nm, respectively, as described in the original publications [34–36]. The non-bonded neighbor list was updated Please cite this article as: Lloris-Garcerá Pilar, et al, In Vivo Trp Scanning of the Small Multidrug Resistance Protein EmrE Confirms 3D Structure Models, J Mol Biol (2013), http://dx.doi.org/10.1016/j.jmb.2013.07.039 9 In Vivo Trp Scanning of Emr every 5 time steps (every 100 fs) within a search radius of 1.5 nm. Constant NpT ensembles were simulated within periodic boundary conditions. Semi-isotropic pressure coupling was applied by separately coupling the lateral (xy) and normal (z) directions to a pressure bath (p = 1 bar, τp = 3 ps, χ = 3 × 10 − 5 bar − 1). Temperature was maintained by coupling protein (with ligand), lipids, and water (with chloride ions) separately to a heat bath at 303 K using velocity rescaling with a time constant of τT = 0.3 ps [40]. Two production simulations were carried out: first, a 500-ns simulation during which harmonic position restraints were applied on the protein backbone (force constant, 1000 kJ mol − 1 nm − 2). In this simulation, the reference coordinates of the position restraints were scaled with the scaling matrix of the pressure coupling. Subsequently, a 500-ns simulation was carried out without position restraints. As an additional, independent check, we also carried out a 1000-ns CG-MD simulation of EmrE in a lipid bilayer composed of 278 palmitoyloleoylphosphatidylcholine lipids instead of DMPC. The calculated lipid exposures were very similar to the ones from the DMPC simulations (correlation coefficient, 0.97). In CG-MD simulations, sampling can be faster than at the fully atomistic level due to the smoother energy landscape and, hence, simulation time may be scaled. However, since the precise time conversion factor depends on the system and state point, we do not scale time here and only report plain simulation times. To analyze the lipid exposure of each residue in EmrE, we calculated the contacts between protein and lipids within a certain distance cutoff around each C α bead. A contact value of “1” was counted if any DMPC bead (no matter how many) was closer to the respective C α bead than 0.6 nm; otherwise, no contact (“0”) was counted. For each C α bead, the results were averaged over the entire trajectory. We systematically varied the cutoff between 0.4 and 0.8 nm and obtained qualitatively similar results; the cutoff of 0.6 nm was finally chosen because it yielded the highest degree of contrast in the exposure profiles (Fig. 3a), that is, the clearest distinction between lipid-exposed and buried residues. Supplementary data to this article can be found online at http://dx.doi.org/10.1016/j.jmb.2013.07.039. Acknowledgements This work was supported by grants from the Swedish Cancer Foundation, the Swedish Research Council, the Swedish Foundation for Strategic Research, and the European Research Council (ERC-2008-AdG 232648) to G.v.H. and from the Deutsche Forschungsgemeinschaft (SFB 807 and Emmy Noether grant SCHA1574/3-1) to L.V.S. P.L.-G. is the recipient of the European Communities TranSys Grant PITN-2008-215524. We thank Alexander Krah for help with MODELLER. 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