Michael V LeVine1, George Khelashvili1, Lei Shi1,2, Matthias Quick, Jonathan A Javitch3, Harel Weinstein1,4. 1. Department of Physiology and Biophysics, Weill Cornell Medical College of Cornell University (WCMC) , New York, New York 10065, United States. 2. Computational Chemistry and Molecular Biophysics Unit, National Institute on Drug Abuse-Intramural Research Program, National Institutes of Health , Baltimore, Maryland 21224, United States. 3. Division of Molecular Therapeutics, New York State Psychiatric Institute , New York, New York 10032, United States. 4. HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College of Cornell University , New York, New York 10065, United States.
Abstract
Recent work has shown that the choice of the type and concentration of detergent used for the solubilization of membrane proteins can strongly influence the results of functional experiments. In particular, the amino acid transporter LeuT can bind two substrate molecules in low concentrations of n-dodecyl β-d-maltopyranoside (DDM), whereas high concentrations reduce the molar binding stoichiometry to 1:1. Subsequent molecular dynamics (MD) simulations of LeuT in DDM proteomicelles revealed that DDM can penetrate to the extracellular vestibule and make stable contacts in the functionally important secondary substrate binding site (S2), suggesting a potential competitive mechanism for the reduction in binding stoichiometry. Because annular lipids can be retained during solubilization, we performed MD simulations of LeuT proteomicelles at various stages of the solubilization process. We find that at low DDM concentrations, lipids are retained around the protein and penetration of detergent into the S2 site does not occur, whereas at high concentrations, lipids are displaced and the probability of DDM binding in the S2 site is increased. This behavior is dependent on the type of detergent, however, as we find in the simulations that the detergent lauryl maltose-neopentyl glycol, which is approximately twice the size of DDM and structurally more closely resembles lipids, does not penetrate the protein even at very high concentrations. We present functional studies that confirm the computational findings, emphasizing the need for careful consideration of experimental conditions, and for cautious interpretation of data in gathering mechanistic information about membrane proteins.
Recent work has shown that the choice of the type and concentration of detergent used for the solubilization of membrane proteins can strongly influence the results of functional experiments. In particular, the amino acid transporter LeuT can bind two substrate molecules in low concentrations of n-dodecyl β-d-maltopyranoside (DDM), whereas high concentrations reduce the molar binding stoichiometry to 1:1. Subsequent molecular dynamics (MD) simulations of LeuT in DDM proteomicelles revealed that DDM can penetrate to the extracellular vestibule and make stable contacts in the functionally important secondary substrate binding site (S2), suggesting a potential competitive mechanism for the reduction in binding stoichiometry. Because annular lipids can be retained during solubilization, we performed MD simulations of LeuT proteomicelles at various stages of the solubilization process. We find that at low DDM concentrations, lipids are retained around the protein and penetration of detergent into the S2 site does not occur, whereas at high concentrations, lipids are displaced and the probability of DDM binding in the S2 site is increased. This behavior is dependent on the type of detergent, however, as we find in the simulations that the detergent lauryl maltose-neopentyl glycol, which is approximately twice the size of DDM and structurally more closely resembles lipids, does not penetrate the protein even at very high concentrations. We present functional studies that confirm the computational findings, emphasizing the need for careful consideration of experimental conditions, and for cautious interpretation of data in gathering mechanistic information about membrane proteins.
Protein solubilization is a
critical preparatory step in any in vitro experiment
on membrane proteins.[1] During this process,
the proteins, typically overexpressed in cells, undergo detergent-mediated
extraction from the native lipid membrane environment into detergent
micellar envelopes (proteomicelles).[1] Detergents
with relatively large polar headgroups and short hydrophobic tails,
present in the protein solution above their respective critical concentration
(CMC), would solubilize a membrane protein by packing their hydrophobic
tails around each other and around the protein’s hydrophobic
transmembrane (TM) domain, while exposing their polar headgroups to
the aqueous solvent.[2] In this manner, proteomicelles
effectively protect the hydrophobic TM domain from unfavorable polar
exposure, while allowing hydrophilic loop regions to be directly exposed
to water.The solubilization process delicately aims to retain
the full functionality
of a membrane protein while creating a solution that is appropriate
for the experiment being performed. Nevertheless, high-resolution
structural studies of various membrane proteins that rely on the solubilization
step have revealed annular lipid components (i.e., lipids bound to
the membrane-embedded regions of the protein) tightly bound to the
protein,[3−8] which were presumably retained during the transfer of the protein
from the native lipid bilayer to the detergent environment. This is
of great interest because recent findings from in vitro assays of membrane protein function have shown that experimental
conditions can strongly influence the functional behavior of proteomicelle
systems,[9−ref12] implying a potential role of the annular lipids in the differential
effects on protein structure and function under different preparatory
protocols.A pertinent example is LeuT, a bacterial homologue
of the neurotransmitter:sodium
symporter (NSS) family, which has served as a structural and functional
prototype for the mammalian NSS homologues that are responsible for
the re-uptake of neurotransmitters from the synaptic cleft into the
presynaptic nerve terminal.[12,13] Substrate transport
by NSS transporters is made possible by a coupling of the thermodynamically
uphill uptake of substrate to the transmembrane Na+ gradient.[14] In LeuT, computational and functional experiments[15] have identified a secondary high-affinity substrate
binding site, termed the S2 site, located in the extracellular vestibule
of LeuT, ∼11 Å above the central high-affinity primary
substrate binding (S1) site discovered crystallographically.[16−18] In crystal structures, the extracellular vestibule has been shown
to bind antidepressants,[19] and antidepressant
binding inhibits substrate binding as well as transport. The two binding
sites are proposed[15] to be allosterically
connected in a mechanistic model of Na+-coupled symport,
whereby intracellular release of the S1-bound substrate is triggered
by the binding of a second substrate molecule in the S2 site.The existence of the LeuT S2 site was questioned because binding
of substrate to the site had not been demonstrated crystallographically,[20] but subsequent studies revealed that treatment
of LeuT with different concentrations of the detergent n-dodecyl β-d-maltopyranoside (DDM) during experimental
preparations could account for the difference in the observed molar
substrate (Leu) binding stoichiometry.[9] Thus, while at DDM concentrations below 0.15% (w/v), the Leu:protein
binding stoichiometry was 2:1, at higher detergent concentrations
[>0.175% (w/v)], only one Leu molecule is bound in a LeuT molecule,
i.e., a molar binding stoichiometry of unity. Together with data collected
from LeuT mutants with impaired S1 or S2 sites, these data suggest
that binding of detergent results in the inability of LeuT to bind
leucine in the S2 site. Interestingly, a substrate binding stoichiometry
of 2:1 can be recovered by reconstituting LeuT that had been previously
solubilized with high concentrations of DDM, into proteoliposomes
composed of polar Escherichia colilipids.[9] In addition, it has been shown that when LeuT
is reconstituted into nanodiscs, the specific binding of both Leu
and Ala (which also acts as a substrate for LeuT) is ∼1.5 times
greater than in DDM,[21] and that another
detergent, n-octyl β-d-glucopyranoside
(OG), which has been found crystallographically to bind in the extracellular
vestibule, may inhibit transport by preventing the substrate from
accessing the S2 site.[22]In a recent
computational investigation of LeuT/DDM proteomicelles,[23] we found that at high DDM ratios the S2 site
could be occluded by nontransient insertion of DDM, which would sterically
hinder the binding of substrate. Two distinct pathways for penetration
of DDM into the LeuT S2 site were identified in these extensive unbiased
atomistic molecular dynamics (MD) simulations of LeuT in a DDM proteomicelle.
Once inserted, DDM was observed to engage in stable interactions with
functionally important residues in the S2 site, such as Arg30, Gln34,
Asp404, Phe320, and Leu400. Furthermore, the simulations established
quantitatively the protein:DDM (P:D) number ratios at which such detergent
penetration occurs: at P:D ratios of ∼1:246 or higher, DDM
molecules would nontransiently insert into the S2 site, whereas at
lower compositions, DDM penetration should be transient at most.Because annular lipids are retained during the protein solubilization
process, the computational investigations conducted in the absence
of lipid had to be expanded to address the mechanistic role of the
lipids surrounding the protein. It is expected that when detergent
concentrations increase, the majority of (weakly) bound lipids are
displaced, whereas the annular lipids tightly bound to specific protein
regions could remain. In the case of detergent penetration, we previously
observed that the long-lasting binding to the S2 site required penetration
from a region that is expected to be in contact with the membrane.
Thus, it is possible that the presence of tightly bound annular lipids
could preserve the functionality of the S2 site even in the presence
of detergent. This raises the question of the conditions and the size
of the lipid annulus that are sufficient to preserve this functionality
in a protein being solubilized in detergent.In the context
of the hypothesis originating from our earlier experimental
work[2] that attributes the impairment of
the S2 site to DDM penetration, it is possible to establish criteria
for the appropriate concentrations of lipid and detergent that will
maintain LeuT function and in particular S2 binding. To this end,
we have followed up on our previous computational studies of LeuT/DDM
proteomicelles[23] with extensive atomistic
MD simulations of LeuT in the mixed environment of phospholipid and
detergent molecules, including DDM and lauryl maltose-neopentyl glycol
(MNG-3). By systematically varying relative lipid:detergent number
ratios around LeuT (see Figure ), we analyzed the results of the computational simulations
in terms of the configurations and contents of a LeuT proteomicelle
along the transporter solubilization process. The findings from our
computational analysis are interpreted in the context of experimental
ligand binding assays and suggest a crucial role of annular lipids
in the experimentally measured binding function of LeuT.
Figure 1
Schematic representation
of the conditions for the all-atom MD
simulations of LeuT/lipid/detergent complexes (protein:detergent:lipid
number ratios and initial spatial distribution of the lipid around
LeuT). DDM/67 I and DDM/67 II are simulations of the “Starting
Configurations” with a lipid core consisting of a mixture of
POPE and POPG phospholipids within either 5 Å (53:19 POPE/POPG)
or 10 Å (90:28 POPG) of LeuT, immersed in a solution of explicit
waters, ions, and randomly dispersed monomeric DDM detergents. In
the second set of simulations (“Resulting Configurations”),
LeuT retains only its core of lipids (10, 25, or 50 lipids) chosen
from the representative snapshot from “Starting Configuration”
trajectories. The core LeuT/lipid complexes were surrounded by a randomly
placed monomeric detergent (either DDM or MNG-3) and lipids as required
to create the stated simulation conditions, and the new MD simulations
were performed for the time durations marked in the respective boxes.
Schematic representation
of the conditions for the all-atom MD
simulations of LeuT/lipid/detergent complexes (protein:detergent:lipid
number ratios and initial spatial distribution of the lipid around
LeuT). DDM/67 I and DDM/67 II are simulations of the “Starting
Configurations” with a lipid core consisting of a mixture of
POPE and POPGphospholipids within either 5 Å (53:19 POPE/POPG)
or 10 Å (90:28 POPG) of LeuT, immersed in a solution of explicit
waters, ions, and randomly dispersed monomeric DDM detergents. In
the second set of simulations (“Resulting Configurations”),
LeuT retains only its core of lipids (10, 25, or 50 lipids) chosen
from the representative snapshot from “Starting Configuration”
trajectories. The core LeuT/lipid complexes were surrounded by a randomly
placed monomeric detergent (either DDM or MNG-3) and lipids as required
to create the stated simulation conditions, and the new MD simulations
were performed for the time durations marked in the respective boxes.
Materials and Methods
Molecular Dynamics Simulations
Molecular
Constructs
To study LeuT in a mixed lipid/detergent
environment with atomistic MD simulations, we made use of previously
published[24] long atomic MD simulations
of LeuT in a membrane composed of 23% 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoglycerol (POPG) and 77% 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (POPE) lipids, and extracted
a representative snapshot from this MD trajectory of the LeuT with
its surrounding shell of lipids. The LeuT model was the same as the
one used in earlier LeuT simulations in DDM micelles[23] and was based on the X-ray structure from Protein Data
Bank entry 3GJD.[22] In this structure, the transporter
is in the occluded state and contains leucine (Leu) in the S1 site
and two Na+ ions in sites termed Na1 and Na2. The detergent n-octyl β-d-glucopyranoside (OG) in the S2
binding site of the 3GJD model was removed prior to the simulations. As detailed previously,[23] the residues missing from the 3GJD structure were added
with Modeler,[25] and Glu112, Glu287, and
Glu419 were treated as protonated.[26,27]To design
the various initial conditions of lipid:detergent number ratios (“Starting
Configurations” in Figure ), LeuT was extracted
from the snapshots (see above) together with the lipids that had one
heavy atom within either 5 or 10 Å of the transporter. The two
lipid annuli extracted in this manner contained 53 POPEs and 19 POPGs
or 90 POPEs and 28 POPGs, respectively (Figure ). These LeuT/lipid complexes were then placed
in a cubic box with a volume of ∼1823 Å3 and were surrounded by a dispersion of DDM detergent molecules
positioned randomly in the solution as monomers so that the resulting
DDM concentration of 0.08 M [or 4% (w/v), corresponding to 307 DDM
detergents in the simulation box after the removal of overlapping
detergent molecules] was well above the established critical micelle
concentration (CMC) for DDM (170 μM).[28,29] The overall number of atoms in the simulation box after solvation
with a 0.15 M Na+Cl– ionic solution was
∼518000.As detailed in Results, the initial set
of MD simulations converged after >300 ns to configurations with
similar
lipid shells (defined by the lipids within 4 Å of the protein),
containing 35–40 POPEs and 10–15 POPGs (Figure ). Guided by these shell sizes,
the simulations in the next set were designed (“Resulting Configurations”
in Figure ) from the
representative snapshots of the “Starting Configurations”
simulations, with LeuT extracted with lipid annuli of various sizes
[10, 25, or 50 lipids in the shell (see Figures and also Results)], and surrounded with either DDM (307 molecules) or MNG-3 [160
molecules corresponding to a concentration of 0.04 M or 4% (w/v)].
We note that because the CMC of MNG-3 (10 μM) is significantly
lower than that of DDM, the chosen number of detergent molecules (for
similar simulation cell dimensions) ensured that LeuT was simulated
in the regime of high detergent concentration relative to CMC for
both DDM and MNG-3.To evaluate the penetration of detergent
into LeuT in MNG-3 proteomicelles,
we also simulated LeuT in an MNG-3 environment in the absence of phospholipids
(Figure ). To this
end, we designed a micelle around LeuT containing 160 MNG-3 molecules
with the packing optimization program Packmol.[30] Packmol utilizes an optimization algorithm to generate
a molecular system according to constraints set by the user and avoiding
atomic overlaps. The system was first centered on the center of mass
of LeuT and aligned to LeuT’s principal axes. Several geometric
constraints were then provided to Packmol for the design of the LeuT/MNG-3
proteomicelle: (i) the terminal carbons of one of the MNG-3 alkane
chains (see Figure S1 of the Supporting Information) were constrained to lie
within a central sphere with a 40 Å radius, and outside a cylinder,
oriented by the principal axes, with a height of 100 Å and a
radius of 20 Å; (ii) the ring oxygen of the second glucose moiety
of MNG-3 was constrained to be outside a sphere with a radius of 50
Å and between two planes defined as +30 and −30 Å
in the z plane (z being the direction
along LeuT’s axis that is perpendicular to the membrane). In
this manner, in the resulting LeuT/MNG-3 proteomicelle, the detergent
tails were appropriately placed to cover the hydrophobic core of LeuT
while leaving hydrophilic regions of the protein exposed to the solvent.
Force Fields and MD Simulation Parameters
The atomistic
MD simulations were conducted with the NAMD 2.9 package[31] using the all-atom CHARMM27 force field with
CMAP corrections for proteins,[32] the CHARMM36
force field for lipids,[33] and a CHARMM-compatible
force field parameter set for detergents.[34] CHARMM-suitable force field parameters for the MNG-3 molecule (provided
in the Supporting Information) were generated
with MATCH[35] using the top_all36_cgenff
force field option and a 3D structure file for MNG-3 created with
the Schrodinger software package Maestro (version 9.3, Schrödinger,
LLC, New York, NY). Inspection of the resulting parameter set for
MNG-3 from MATCH confirmed that all structural segments of the MNG-3
molecule shared with DDM were parametrized with MATCH in a manner
identical to that expected from CHARMM-based force fields. All the
molecular constructs were equilibrated and subjected to long production
MD runs (see Figure for details on simulation times) following the protocols and simulation
parameters described in our earlier work on LeuT/DDM proteomicelles.[23]
Protein Expression, Purification,
and Preparation for Functional
Assays
LeuT was produced in E. coli C41(DE3)
from plasmid pQO18, which encodes an N-terminally 10-His tagged recombinant
version of the protein.[15,36] Protein was extracted
from the membrane and purified by immobilized metal (Ni2+) affinity chromatography in the presence of DDM.[3] Exchange of DDM with MNG-3 was achieved with high-performance
liquid chromatography-mediated size-exclusion chromatography (Shodex
Protein-KW803 column) in a buffer composed of 150 mM Tris/Mes (pH
7.5), 50 mM NaCl, 1 mM TCEP, 10% (w/v) glycerol, and 0.01% (w/v) (0.1
mM) MNG-3.
Binding Studies
Binding of 100 nM
[3H]Leu
(140 Ci/mmol; American Radiolabeled Chemicals, Inc.) was measured
by means of the scintillation proximity assay (SPA).[36] Prior to measuring the time course of binding of [3H]leucine to 0.8 pmol of purified LeuT per assay, we incubated
protein in either 0.1% DDM or 0.01% MNG-3 for 3 h at 23 °C in
150 mM Tris/Mes (pH 7.5), 50 mM NaCl, 1 mM TCEP, and 20% glycerol
with DDM or MNG-3 at the indicated concentration. The time course
of [3H]Leu binding was monitored by measuring counts per
minute in a Wallac photomultiplier tube MicroBeta microplate counter
in SPA mode; 800 mM imidazole was added to a set of samples for each
condition to determine the nonproximity cpm, which were subtracted
from the total cpm (in the absence of imidazole) to obtain the specific
cpm. Protein was assayed prior to binding experiments.[37] All experiments were repeated at least in duplicate,
and data points show the mean ± the standard error of the mean
(SEM) of triplicate determinations of representative experiments.
Results
Stages of LeuT Solubilization in DDM Detergent Characterized
via MD Simulations
To investigate the effects of annular
lipids on the organization and dynamics of proteomicelles that form
during LeuT solubilization, it is desirable to follow the detergent-mediated
transition of LeuT from the initial complex with the native lipid
membrane into a proteomicelle that may still contain residual lipids
bound to LeuT. The protocol we adopted for this purpose is designed
to overcome the difficulties encountered by both experiment and simulation.
Thus, characterization of the molecular details of the transition
of LeuT between the environments is not feasible experimentally, while
the time scale of the solubilization process exceeds the capability
of unbiased molecular dynamics simulations. Therefore, we constructed
atomistic models of LeuT in a mixed lipid/detergent environment that
define configurations of the evolving LeuT proteomicelle along the
solubilization pathway (see Materials and Methods for details) and followed the dynamics of these intermediate models
with extensive MD simulations. The protocol starts with a construct
of LeuT with its annulus of lipids extracted as described in Materials and Methods from our recently published[24] MD trajectories of LeuT in 77:23 POPE/POPG membranes.
Two different sizes of lipid annuli were extracted, containing phospholipids
residing within 5 or 10 Å of LeuT in the bilayer simulation trajectory.
The complete starting system consisted of these LeuT/lipid complexes
immersed in a solution containing randomly dispersed monomeric DDM
molecules (see Materials and Methods). The
MD simulation trajectories were obtained for >300 ns (simulations
DDM/67 I and II in Figure ).
Annular Lipids in LeuT Proteomicelles
Our previous
computational work on LeuT in DDM micelles[23] established the importance of the size of the micelle surrounding
the protein in determining the effect of the detergent. The results
showed that although the overall number of molecules in the proteomicelle
depends on concentration, the number of DDM molecules in the 4 Å
shell surrounding the protein is independent of the overall DDM concentration.
This organization is stabilized relatively fast in the simulations
(∼100–150 ns). Indeed, as shown in Figure , the two trajectories (DDM/67
I and II, which contain DDM, POPE, and POPG molecules in the LeuT
shell) converged to configurations with very similar core measures
within 100–150 ns: ∼30–35 DDMs, ∼35–40
POPEs, and ∼12–15 POPGs. Importantly, the time profiles
for the evolution of DDM/67 I and II, shown in Figure , indicate a gradual displacement of lipids
from the protein core by detergent molecules, i.e., a dynamic transformation
that takes place during the protein solubilization process. In this
process, detergent molecules are seen to eventually replace all but
a few structural lipids that are most tightly packed around the protein.
The simulation also tracked the formation of separate aggregates that
were not part of the central proteomicelle and contained mixtures
of lipid surrounded by detergent. Thus, both free aggregates (FA)
and free monomers (FM) were found in the solution containing the proteomicelle
(see Figure ), similar
to results obtained previously in the absence of lipid, and in agreement
with the expected physicochemical process of solubilization.
Figure 2
Time evolution
(after initial equilibration phase) of the number
of POPE (red), POPG (green), and DDM (blue) molecules within 4 Å
of protein (i.e., shell) in different simulations from Figure .
Figure 3
LeuT in a mixed lipid/detergent environment: the centrally located
proteomicelle and free aggregates in the solution. Initial configuration
(A) and final snapshot (B), after 194 ns MD simulations, of LeuT (cartoon)
surrounded by 53 POPE lipids (yellow color), 19 POPG lipids (green
color), and 307 DDM detergent molecules (cyan color) (from simulation
DDM/50 in Figure ).
For the sake of clarity, water molecules, ions, and transporter-bound
Leu were omitted from the snapshots.
Time evolution
(after initial equilibration phase) of the number
of POPE (red), POPG (green), and DDM (blue) molecules within 4 Å
of protein (i.e., shell) in different simulations from Figure .LeuT in a mixed lipid/detergent environment: the centrally located
proteomicelle and free aggregates in the solution. Initial configuration
(A) and final snapshot (B), after 194 ns MD simulations, of LeuT (cartoon)
surrounded by 53 POPElipids (yellow color), 19 POPGlipids (green
color), and 307 DDM detergent molecules (cyan color) (from simulation
DDM/50 in Figure ).
For the sake of clarity, water molecules, ions, and transporter-bound
Leu were omitted from the snapshots.The regions of the transporter engaged in interactions with
the
structural nucleus of lipids strongly bound to LeuT were investigated
in the DDM/67 I and DDM/67 II trajectories. The average numbers of
POPE, POPG, and DDM molecules with at least one atom within 3 Å
of each residue were calculated, and Figure shows the resulting density maps for the
lipid and detergent components as a function of protein sequence.
The results in Figure identify specific segments in LeuT that make frequent contacts with
lipid/detergent molecules and specify sites that show a preference
for either POPE or POPGlipids. Because the fatty acid chains of POPE
and POPG are identical, the selectivity for the various TM surfaces
of LeuT is most likely the result of interactions between the side
chains of the protein residues and lipid headgroups, although it may
also involve alternative packing of the lipids induced by lipid–lipid
headgroup interactions. Interestingly, the TM6/TM11 interface displays
more significant penetration by detergent in DDM/67 I (constructed
from the 5 Å lipid shell) than in DDM/67 II (constructed from
the 10 Å lipid shell). Previously, we found this interface to
constitute the pathway through which DDM penetrated LeuT to make long-lived
contacts in S2.[23]
Figure 4
Average number of lipid
or detergent molecules contacting LeuT
as a function of residue number. The average number of detergent or
lipids with 3 Å of LeuT for each residue in the DDM/67 I (bottom)
and II (top) simulations. Each bar stacks the average number of contacts
from POPE (blue), POPG (green), and DDM (red). Black boxes are included
to indicate TM6 and TM11.
Average number of lipid
or detergent molecules contacting LeuT
as a function of residue number. The average number of detergent or
lipids with 3 Å of LeuT for each residue in the DDM/67 I (bottom)
and II (top) simulations. Each bar stacks the average number of contacts
from POPE (blue), POPG (green), and DDM (red). Black boxes are included
to indicate TM6 and TM11.The observed lipid binding specificity was then used in the
construction
of systems designed to investigate the effect of lipid cores on the
penetration of DDM into the S2 site. The protocol for the definition
of the lipid cores was used to obtain three different starting systems
for subsequent MD simulation in the presence of detergent: a “small
core”, a “medium core”, and a “large core”
were obtained on the basis of the results in Figure . To create these cores, the residues with
the largest average number of interacting lipids were identified.
For example, in the DDM/67 I trajectory, Ile48, Ile292, and Phe496
were found to interact most frequently with POPE and Arg88, Phe177,
and Leu380 with POPG. The lipids that bound to these six residues
were extracted from a representative snapshot of the DDM/67 I trajectory
and used as a 10-lipid core (seven POPEs and three POPGs) designated
as the “small core” (see Figure A). The same procedure was used to define
the “medium core” of 25 lipids (20 POPEs and 5 POPGs)
around the top 12 lipid-interacting residues, which additionally included
Ile45, Ile174, Il184, Phe388, Phe494, and Leu495 (Figure B).
Figure 5
Lipid shells of different
sizes around LeuT. Final snapshots of
small (A), medium (B), and large (C) size lipid cores around LeuT
(see also Figure ).
POPE, POPG, and the closest DDM to the S2 site are colored blue, green,
and red, respectively; the protein is depicted as a cartoon. S2 residues
are shown as licorice, and TM6 and TM11 of LeuT are colored orange
and purple, respectively.
Lipid shells of different
sizes around LeuT. Final snapshots of
small (A), medium (B), and large (C) size lipid cores around LeuT
(see also Figure ).
POPE, POPG, and the closest DDM to the S2 site are colored blue, green,
and red, respectively; the protein is depicted as a cartoon. S2 residues
are shown as licorice, and TM6 and TM11 of LeuT are colored orange
and purple, respectively.For MD simulations, the LeuT models with small and medium
cores
were surrounded by DDM detergents in the same formation that is found
in the trajectory frames from which the cores were extracted, and
the new MD simulations were termed DDM/10 and DDM/25 (Figure ).Finally, we simulated
a “large core” of 50 lipids
(35 POPEs and 15 POPGs) to see how detergent competition with annular
lipids may be affected by the presence of additional competing lipids
in solution. This larger core was therefore generated from the DDM/67
I trajectory, and it contained all lipids within 4 Å of any residue
of the transporter after 312 ns. For the simulation, this LeuT/lipid
core complex was immersed in solution containing randomly dispersed
monomeric DDM, POPE, and POPG molecules, and the entire system was
used as the initial configuration of the DDM/50 simulation (Figure ).On the basis
of this design, the three LeuT/lipid core constructs
(with small, medium, and large cores) provided the initial molecular
models for mixed lipid/detergent environments surrounding LeuT at
various stages of the protein solubilization process. Indeed, the
DDM/25 and DDM/50 simulations showed a small degree of gradual replacement
of the core lipids with the detergent (Figure ), whereas all the lipids in the DDM/10 system
remained LeuT-bound on the simulation time scales. Importantly, the
analysis of the trajectories for DDM/10 and DDM/25 was consistent
with the DDM/67 I and II simulations, in which DDM extensively penetrated
into the TM6/TM11 interface.
Lipids from the LeuT Proteomicelle Shell
and DDM Molecules from
the Solution Exchange at a Ratio of 2:1
Figure compares compositions of the
LeuT cores in the simulations initiated from different size annuli
of lipids around the protein. It reveals the delicate interplay between
the lipid and detergent molecule numbers in the transporter core at
different stages of solubilization. Specifically, in the course of
the simulations, the small size lipid core (DDM/10) is penetrated
by ∼100 DDM molecules, whereas the medium (DDM/25) and large
(DDM/50) lipid cores attract ∼70 and ∼40 detergent molecules,
respectively. In comparison to the LeuT/DDM proteomicelles reported
previously,[23] we find here that the shell
DDM numbers equilibrate at 120 ± 7 irrespective of the overall
protein:detergent number ratio. Thus, in the context of the detergent-mediated
solubilization transition, the calculated core measures suggest that
on average approximately two DDM molecules replace each lipid molecule
extracted from the LeuT shell. Because interactions of the transporter
with its lipid annulus are mostly driven by hydrophobic/hydrophilic
effects that shield hydrophobic TMs of LeuT from unfavorable polar
exposure, the equivalency of the core numbers between different simulations
demonstrates that the effective volume occupied by a single lipid
molecule in the core is roughly twice that taken by a DDM detergent
molecule.
Annular Lipids Protect LeuT from DDM Penetration in the S2 Site
In the DDM/67 I and II trajectories, we observed some transient
penetrations of LeuT by DDM, but the detergent molecule did not insert
completely. In the DDM/50 simulation (see Figure , labeled by simulation), any such DDM molecules
penetrating transiently in the beginning stages of the simulation
were rapidly replaced by a lipid molecule. In the pure DDM proteomicelles,[23] we had observed two modes of DDM penetration:
one in which the DDM approached the S2 site from the extracellular
domain (“from the top”), making interactions with Phe320
of ECL4 and Leu400 of TM10, and another in which the DDM approached
“from the side”, inserting into LeuT from the area between
the extracellular ends of TM11 and TM6 and making long-lasting contacts
with Asp404, Gln34, and Arg30. Here, in the presence of lipid cores,
the movement of DDM into LeuT is always “from the side”
and is reasonably attributable to the absence of strongly bound lipids
near the extracellular TM11/TM6 interface. In the simulations with
medium and small lipid cores, this entrance is completely exposed
initially, and it remains exposed (see Figure A,B). However, when the lipid:DDM ratio is
high, lipids prevent complete entry “from the side”;
as the concentration of detergent increases and outcompetes the annular
lipids, detergent entry becomes possible. While some “from
the top” interaction between detergents and the Phe320 and
Leu400 residues was seen in the medium shell simulation (see Figure B), the penetration
was not complete. Indeed, the only simulation in which complete penetration
of a DDM into the LeuT S2 site was observed is with the small lipid
shell simulation (see Figure A). Notably, the protein:detergent ratio in our present simulations
is far above ratios at which we had already observed long-lived penetration
in our previous simulations in pure DDM (<1:240),[23] making it clear that the presence of annular lipid prevents
penetration of DDM “from the side” in all but the smallest
lipid shell system.
Figure 6
DDM binding in the S2 site. Minimum distance from S2 site
residues
(R30, F320, Q34, L400, and D404) to the heavy atoms of the nearest
DDM detergent molecule as a function of time in various MD trajectories.
DDM binding in the S2 site. Minimum distance from S2 site
residues
(R30, F320, Q34, L400, and D404) to the heavy atoms of the nearest
DDM detergent molecule as a function of time in various MD trajectories.
MNG-3 Detergent Molecules
Do Not Penetrate the S2 Site
As the annular lipids prevent
DDM penetration by competing for occupancy
of the TM11/TM6 interface that allows access to the S2 site, we hypothesized
that larger detergent molecules with volumes comparable to those of
the lipids would not be able to fit into the interface and would not
penetrate into the S2 site. To probe this hypothesis computationally,
we constructed simulations of LeuT in a mixed lipid/detergent environment
with the amphiphile detergent MNG-3 (see Materials
and Methods), which is known to better stabilize TM proteins,
including LeuT.[38] As the MNG-3 structure
is composed of two DDM molecules that share a common carbon at the
second position of the alkyl chains (Figure S1), it is reasonable to assume that the effective volume occupied
by a single MNG-3 molecule will be larger than that of DDM when packed
into the proteomicelle.In the simulations of mixed lipid/MNG-3
environments at various lipid:detergent ratios (see Figure ), we find that MNG-3 is gradually
assimilated into the proteomicelle, similar to what we observed for
DDM (see Figure S2). Still, MNG-3 does
not penetrate into the S2 site, independent of the quantity of lipids
in the core (see Figure S3). Given that
the CMC of DDM is an order of magnitude greater than that of MNG-3
(see Materials and Methods), our simulations
in MNG-3 correspond to conditions of detergent concentration far greater
than those required to solubilize LeuT and sufficiently high to see
penetration if it were possible.Because our results suggest
that MNG-3 does not penetrate into
the S2 site, we hypothesized that MNG-3 would not compete with leucine
for binding to the S2 site as has been previously observed for DDM.[9] To test this hypothesis, we performed leucine
binding using the SPA (see Materials and Methods) with various concentrations of DDM and MNG-3 (see Figure ). As expected from our previous
experiments and simulations, the level of leucine binding is reduced
to ∼50% when the DDM concentration is increased from 0.1 to
0.3%. However, binding of [3H]Leu in the presence of increasing
concentrations of MNG-3 was virtually identical to that observed in
the presence of 0.1% DDM, a condition that maintained a 2:1 binding
stoichiometry.[9]
Figure 7
Effect of detergent on
LeuT binding activity. Time course of binding
of 100 nM [3H]Leu to 0.8 pmol of LeuT assayed with the
SPA with (A) protein prepared in 0.1% DDM or (B) protein that was
subjected to detergent exchange from DDM to MNG-3 by size-exclusion
chromatography. In panel A, increasing concentrations of MNG-3 [0.1%
(▲) and 0.5% (▽)] were added to protein in 0.1% DDM
(□). In addition, binding of 100 nM [3H]Leu to LeuT
in the presence of 0.3% DDM (○) was measured.[4] In panel B, increasing concentrations of MNG-3 were added
to the sample prepared (after exchange) in 0.01% MNG-3 (□)
to yield final concentrations of 0.1% (▲) and 0.5% (▽).
Data points are the mean ± SEM of triplicate determinations of
a representative experiment and are normalized to the activity of
binding in the presence of 0.1% DDM.
Effect of detergent on
LeuT binding activity. Time course of binding
of 100 nM [3H]Leu to 0.8 pmol of LeuT assayed with the
SPA with (A) protein prepared in 0.1% DDM or (B) protein that was
subjected to detergent exchange from DDM to MNG-3 by size-exclusion
chromatography. In panel A, increasing concentrations of MNG-3 [0.1%
(▲) and 0.5% (▽)] were added to protein in 0.1% DDM
(□). In addition, binding of 100 nM [3H]Leu to LeuT
in the presence of 0.3% DDM (○) was measured.[4] In panel B, increasing concentrations of MNG-3 were added
to the sample prepared (after exchange) in 0.01% MNG-3 (□)
to yield final concentrations of 0.1% (▲) and 0.5% (▽).
Data points are the mean ± SEM of triplicate determinations of
a representative experiment and are normalized to the activity of
binding in the presence of 0.1% DDM.
Discussion
Membrane protein solubilization in detergent
is an essential step
in the experimental protocol that allows structural and functional
experiments to be conducted with various polytopic membrane proteins
such as LeuT. It has always been known to have potential deleterious
effects on protein stability,[39] but to
the best of our knowledge, the fact that many traditional measures
of stability can be maintained in the face of functional artifacts
is not as widely appreciated. This requires a mechanistic understanding,
and therefore, we conducted the extensive MD simulations of LeuT in
mixed lipid/detergent proteomicelles consisting of different concentrations
of lipid and two different detergent molecules presented here. These
simulations have explored conditions that can create such artifacts
in one system and corroborated the mechanism identified previously
for the occlusion by DDM of the secondary substrate (S2) site in LeuT.
The simulated constructs of the LeuT protein surrounded by lipid cores
of different sizes immersed in detergent environments provided the
initial molecular models for the analysis of dynamics in mixed lipid/detergent
environments at various stages of the protein solubilization process.
The results of the simulations offer mechanistic insights into the
role of the concentration and chemical nature of detergent on the
experimental measurements of function in the presence of annular lipids.
We find that as LeuT becomes solubilized by DDM, the detergent molecules
gradually outcompete lipids and eventually, at sufficiently low lipid:detergent
ratios, start to penetrate into the S2 site. Mechanistically, it becomes
clear from the simulations that the least preferred region of lipid–protein
interaction in LeuT is the TM6/TM11 interface, which is particularly
vulnerable to penetration by DDM when it becomes possible at the low
lipid:DDM ratios. Through experimental probing of the various conditions,
we find that at high DDM (but not MNG-3) concentrations, the level
of binding of Leu to LeuT is reduced ∼2-fold, which is indicative
of a reduction of the binding stoichiometry from 2:1 to 1:1.[9] On the basis of the molecular-level insights
provided by the simulations in the presence of lipid, we propose that
the stoichiometry remains 2:1 even at the highest MNG-3 concentrations
studied here because MNG-3 cannot penetrate into the S2 site. We reason
that its bulky tails, which are similar to those of the lipids we
studied in the lipid/detergent mixed systems, allow it to protect
the TM6/TM11 interface. It should be noted that the simulations presented
here and previously[23] do not inform whether
this mechanism is kinetic or thermodynamic in nature but do indicate
that it is likely competitive. A differentiation between the two possible
mechanisms could be achieved in the future from specific experiments
and additional simulations.In addition to their obvious significance
for understanding the
potential artifacts associated with protein solubilization in detergents,
the results presented here underscore yet another aspect of the involvement
of the lipid environment in membrane protein function. Thus, various
mechanisms have been documented for the influence of membrane lipid
composition on the function of membrane proteins (including modulation
due to changes in the membrane mechanical properties and local deformations
that affect the energetics of hydrophobic mismatch[24,40−42]). Here we document an additional mechanism in which
the lipids protect the integrity of a protein’s binding functionality
from penetration by other molecules. It is likely that in the cellular
environment local to LeuT, for example, the ratio of lipids to small
molecules that could potentially bind nonspecifically to the S2 site
is high, and thus, there is a low likelihood of penetration of these
molecules into the S2 site in the “from the side” manner,
preventing unanticipated inhibition by nonsubstrates. However, when
the protein is studied in a nonphysiological environment, such as
in the highly concentrated detergent solutions used in many experiments,
functional sites of LeuT may become exposed to the detergent because
residual amounts of lipids carried over from the purification step
are not sufficient to protect these functional sites. This effect
could be especially important in systems that are suggested to bind
hydrophobic ligands that enter from the membrane, such as the ligands
for the cannabinoid,[43] κ-opioid,[44] and rhodopsin[45] G-protein-coupled
receptors (GPCRs). When a permeation path from the membrane into a
binding site exists for functional purposes, it may be essential that
the annular lipids in that region be maintained in in vitro experiments.In conclusion, our results reveal specific mechanistic
reasons
for the particular care that must be taken when choosing the appropriate
detergent molecules and their concentrations for solubilization. The
functional role of the S2 site in the mechanism of transport of LeuT
has been a subject of debate, and our recent computational and experimental
findings suggest that much of the controversy can be explained by
differences in experimental conditions. An increased level of attention
to the effect of experimental conditions on measurements of function
not only will reduce the likelihood that controversies arise due to
artifacts but also may lead to improved insights into the role of
these agents in protein function and especially in analyzing the manner
in which the direction and stoichiometry of binding of ligand to membrane
proteins can be affected.
Authors: Jung Hee Park; Patrick Scheerer; Klaus Peter Hofmann; Hui-Woog Choe; Oliver Peter Ernst Journal: Nature Date: 2008-06-18 Impact factor: 49.962
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Authors: Chunfeng Zhao; Sebastian Stolzenberg; Luis Gracia; Harel Weinstein; Sergei Noskov; Lei Shi Journal: Biophys J Date: 2012-09-05 Impact factor: 4.033
Authors: Lindsay D Clark; Igor Dikiy; Karen Chapman; Karin Ej Rödström; James Aramini; Michael V LeVine; George Khelashvili; Søren Gf Rasmussen; Kevin H Gardner; Daniel M Rosenbaum Journal: Elife Date: 2017-10-06 Impact factor: 8.140