Structures of abcg2 under turnover conditions reveal a key step in the drug transport mechanism

ABSTRACT ABCG2 is a multidrug transporter that affects drug pharmacokinetics and contributes to multidrug resistance of cancer cells. In previously reported structures, the reaction cycle

was halted by the absence of substrates or ATP, mutation of catalytic residues, or the presence of small-molecule inhibitors or inhibitory antibodies. Here we present cryo-EM structures of

ABCG2 under turnover conditions containing either the endogenous substrate estrone-3-sulfate or the exogenous substrate topotecan. We find two distinct conformational states in which both

the transport substrates and ATP are bound. Whereas the state turnover-1 features more widely separated NBDs and an accessible substrate cavity between the TMDs, turnover-2 features

semi-closed NBDs and an almost fully occluded substrate cavity. Substrate size appears to control which turnover state is mainly populated. The conformational changes between turnover-1 and

turnover-2 states reveal how ATP binding is linked to the closing of the cytoplasmic side of the TMDs. The transition from turnover-1 to turnover-2 is the likely bottleneck or rate-limiting

step of the reaction cycle, where the discrimination of substrates and inhibitors occurs. SIMILAR CONTENT BEING VIEWED BY OTHERS RHODAMINE6G AND HŒCHST33342 NARROW BMRA CONFORMATIONAL

SPECTRUM FOR A MORE EFFICIENT USE OF ATP Article Open access 18 February 2025 THE NET ELECTROSTATIC POTENTIAL AND HYDRATION OF ABCG2 AFFECT SUBSTRATE TRANSPORT Article Open access 18 August

2023 ASYMMETRIC DRUG BINDING IN AN ATP-LOADED INWARD-FACING STATE OF AN ABC TRANSPORTER Article 20 December 2021 INTRODUCTION ABCG2 is an ABC transporter of broad substrate specificity

expressed in various tissues and tissue barriers1,2,3,4. Among its endogenous substrates are steroids, including estrone-3-sulfate (E1S), and the transporter has been reported to contribute

to renal excretion of uric acid5. ABCG2 also functions as a multidrug transporter and exports a wide range of xenobiotics and pharmaceuticals, thus strongly impacting their

pharmacokinetics1,2,3. Genetic polymorphisms of ABCG2 can lead to its dysfunction, which is associated with hyperuricemia and hypertension in humans6. Due to its broad substrate specificity,

ABCG2 contributes to multidrug resistance in cancer7,8. For example, ovarian tumor and medulloblastoma cells over-expressing ABCG2 have shown increased resistance to chemotherapeutic agent

including topotecan or mitoxantrone9,10. Considerable efforts have been directed at developing specific inhibitors of ABCG2 to counteract its activity in protecting tumor cells from

anti-cancer drugs11,12,13,14,15,16,17. At present, the clinical applicability of such compounds is limited by their insufficient specificity, toxicity, or poor oral availability18. A

detailed understanding of the mechanism of ABCG2 is therefore essential to advance the development of small-molecule modulators or inhibitors. A series of initial structures have revealed

the architecture of human ABCG2 and have provided insight into its binding of endogenous substrates as well as small-molecule inhibitors19,20,21. In the inward-open conformation, the pair of

transmembrane domains (TMDs) form a slit-like cavity (cavity 1) that serves as a substrate-binding pocket. Two phenylalanine side chains, one from each ABCG2 monomer, clamp substrates

between their phenyl rings21,22,23,24. This can rationalize that ABCG2 substrates are generally flat, polycyclic, and hydrophobic compounds20. Inhibitors can also bind in cavity 1, both

competing with substates for the binding pocket and interfering with the closing of the TMD dimer interface during the transport cycle19,20,21. Recent structural studies revealed that

exogenous substrates (cytotoxic drugs used to treat various cancers) bind as single copies at the same general location as the endogenous substrate E1S22,23. In addition to inward-open

structures, the structure of a variant with reduced catalytic activity, ABCG2E211Q, revealed an ATP-bound conformation with a closed nucleotide-binding domain (NBD) dimer and a collapsed

translocation pathway. This was taken as evidence supporting an ATP-driven, peristaltic extrusion mechanism21. The common denominator of all published ABCG2 structures is that they

represented trapped states determined under conditions where the transporter was prevented from cycling through its catalytically relevant conformations. This was accomplished either by the

removal of ATP or transport substrates or by the addition of small-molecule inhibitors or externally binding inhibitory Fab fragments such as 5D3-Fab19,25. The strategy of locking

intermediate states or reducing conformational flexibility has been at the heart of most high-resolution structural studies of multidrug ABC transporters since the publication of the Sav1866

structure26. Mutation of the catalytically essential Walker-B glutamate has often been used to trap ATP-bound states, where the nucleotide is sandwiched between the NBDs21,27. Occasionally,

disulfide cross-linking was employed to trap intermediate states28,29. Such approaches were essential when using X-ray crystallography as a structural technique, since excessive

conformational dynamics interfere with the generation of well-ordered 3D crystals. On the downside, these conditions differed from the physiological environment, where substrates, ATP, ADP,

and Mg2+ are all present. As a result, the catalytic cycle of ABCG2 and other multidrug transporters is insufficiently understood. While conformational rigidity is also beneficial for

cryo-EM approaches, the single-particle nature of cryo-EM studies provides an opportunity to investigate multidrug ABC transporters under turnover conditions, where distinct conformations

are allowed to co-exist30. This approach is essential for understanding the transport mechanism because it reduces the chance of visualizing physiologically irrelevant conformational states

or intermediates. In the present study, we reconstitute human ABCG2 in lipid nanodiscs, which provide a near-native environment containing phospholipids and cholesterol. We apply turnover

conditions using two distinct substrates and find a single major turnover state for the endogenous steroid E1S and two states for the larger, exogenous drug topotecan. Our study reveals key

conformational changes that are essential for substrate recognition and translocation and allow ABCG2 to distinguish substrates from inhibitors. RESULTS STRUCTURES OF ABCG2 UNDER TURNOVER

CONDITIONS We determined the ATPase activity of ABCG2 reconstituted in nanodiscs (Supplementary Fig. 1a) in the presence of E1S or topotecan (Fig. 1a). To ascertain that the two substrates

bound to nanodisc-reconstituted ABCG2, we measured the modulation of the ATPase rate compared to the absence of substrates. Compared to liposome-reconstituted ABCG2, the basal ATPase rate in

nanodiscs is markedly elevated, as was observed previously19,20,21. This rate was further increased in the presence of E1S, but decreased in the presence of topotecan (Fig. 1a). While the

absolute values are higher than in liposomes, this observation, combined with the structural data, suggests that the two substrates indeed bound to nanodisc-reconstituted ABCG2. To mimic

turnover conditions, we incubated ABCG2 with 5 mM ATP, 0.5 mM ADP, 5 mM MgCl2, and either 200 µM E1S or 100 µM topotecan, and applied the mixtures to EM grids. We collected single-particle

cryo-EM data of these two samples, which allowed us to determine three distinct high-resolution structures, one from the E1S-bound ABCG2 and two from topotecan-bound ABCG2. Both the NBDs and

TMDs were well resolved in all three structures (Supplementary Fig. 1b). Despite the fact that ABCG2 is a homodimer, we refined all maps in C1 symmetry and did not observe significant

structural differences between the two monomers. The turnover sample containing E1S revealed a single, well-defined conformation resolved at 3.4 Å resolution (Supplementary Fig. 2). In

contrast, the turnover sample containing topotecan revealed two well-ordered structures, which we termed turnover-1 and turnover-2 states, resolved at 3.1 Å and 3.4 Å, respectively

(Supplementary Fig. 3). The conformation of the E1S-bound structure was very similar to turnover-2 from the topotecan-containing sample (Supplementary Table 1). We, therefore, refer to the

E1S-bound structure as turnover-2 as well. The TMDs in the turnover states adopted inward-facing conformations but differed in their degree of opening towards the cytoplasmic side of the

membrane. Turnover-1 is a more open conformation, whereas turnover-2 is a more closed conformation. All three structures revealed densities for transport substrates and two bound

nucleotides, which were interpreted as bound ATP molecules (Fig. 1b). This choice was made because the relevant density in turnover-2 suggests bound ATP, while modeling ADP would leave

unexplained, additional density (Supplementary Fig. 4). For the turnover-1 state, the density of bound nucleotides is weaker because there are fewer contacts with the protein. While it would

in principle be possible to interpret the density as a mixture of ADP and ATP, we built ATP because it did not violate the observed density features and because the concentration of ATP in

the solution is ten times higher compared to that of ADP. While we assume that a closed conformation similar to that observed in the structure of the ATP-bound ABCG2_E211Q_ variant is

present under turnover condition21, we did not observe a defined class of such particles in our turnover samples. This suggests that this closed conformation is not a low-energy state of the

wild-type protein under turnover conditions. We also did not observe a collapsed apo-state similar to that reported recently for apo-ABCG222. In the topotecan-bound ABCG2 sample, the

dominant class (88% of the ordered particles) belonged to the turnover-1 state, whereas 12% particles belonged to the turnover-2 state (Supplementary Fig. 3). This suggests that turnover-1

is the lowest-energy state of ABCG2 in the presence of topotecan, whereas turnover-2 is the lowest-energy state in the presence of E1S. In all turnover structures, the leucine gate (formerly

called leucine plug), which separates cavity 1 from cavity 2, is closed (Supplementary Fig. 5a, b). E1S AND TOPOTECAN BINDING SITE We initially expected that under turnover conditions,

transport substrates would either be too mobile to be observed or not present at all. To our surprise, we found strong densities for bound substrates lodged in cavity 1 on the twofold

molecular symmetry axis of ABCG2 (Fig. 1c, d). Substrate recognition and binding are similar as in the previously reported, inward-open structures21,22,23. The polycyclic cores of E1S and

topotecan are sandwiched between the F439 side chains of the two ABCG2 protomers (Fig. 1c, d). Only one substrate molecule can be fitted inside the density, as fitting two molecules would

introduce serious steric clashes (Fig. 1d). The density suggests a certain degree of flexibility of bound substrates, in particular for topotecan (Fig. 1d). In the structure containing E1S

(turnover-2), the substrates could be fit in two orientations related approximately by a 180° rotation. Due to the C1 processing of the data, one orientation is more prominent. When compared

to the previously reported structure of E1S- and 5D3-Fab-bound ABCG2 in an inward-open conformation, E1S appeared slightly shifted (~1 Å) towards the leucine gate and thus towards the

external side of the transporter (Fig. 1e). In the topotecan-containing turnover structures, the shape of the density feature covering the drug is different in turnover-1 versus turnover-2.

In turnover-1, topotecan can be fitted in two orientations related approximately by a 180° rotation (Fig. 1d middle), similar to what was observed in an earlier structure of topotecan- and

5D3-Fab-bound, inward-open ABCG223, and with no significant shift of bound topotecan in the direction of the leucine gate. In turnover-2, the topotecan density was narrower in the horizontal

dimension and longer in the vertical dimension, probably reflecting a rotation of the drug compared to the turnover-1 state (Fig. 1d right). The changes in EM density could be visualized by

3D variability analysis of the final particles using the program cryoSPARC (Suppl. movies 1 and 2)31,32. COUPLED NBD AND TMD MOTIONS ABC transporters use the energy of ATP binding and

hydrolysis to translocate substrates across the membrane via alternating access mechanism33,34,35. In the course of the ATPase cycle, the NBDs cycle between closed and open conformations to

hydrolyze ATP or to release ADP and phosphate. This drives conformational changes in the TMDs. The separation of the NBDs in our turnover-1 and turnover-2 structures is smaller than that in

the fully inward-open, topotecan-bound ABCG2 structure23, but larger than that in the ATP-bound structure of ABCG2E211Q (Fig. 2a)21. A comparison of these four structures shows that as the

NBDs approach each other, so do the cytoplasmic sides of the TMDs (Fig. 2a). The TMDs rotate relative to the NBDs (Supplementary Fig. 5c). Compared to the inward-open conformation, access to

cavity 1 from the inner leaflet of the membrane is reduced in turnover-1, as the gap between transmembrane helices TM1 and TM5’ of the opposing ABCG2 monomer is narrower (Fig. 2b, c). In

turnover-2, the gap is even smaller, causing the entrance to cavity 1 from within the membrane to be completely sealed and even the opening to the cytosol to be reduced. As a result, a

larger substrate such as topotecan could not enter into, or exit from, cavity 1 without spreading of the cytoplasmic sides of the TMDs (Fig. 2c). The degree of NBD closing and TMD gap

narrowing can be measured by comparing the distances of the coupling helices (CpH), which are located in the first intracellular loop of the TMDs and transmit conformational changes at the

NBD-TMD interface. In turnover-1, the coupling helices are moved towards each other by ~1 Å compared to the fully inward-open, topotecan- and 5D3-Fab-bound structure (Fig. 2d). In

turnover-2, the distance between the coupling helices is reduced by another 4.0 Å. The distances between the TMDs have shifted accordingly (Supplementary Fig. 6). This reveals a strict

coupling between NBD and TMD closing. In addition to the motion of the NBDs as full domains, we observed a rotation of the RecA-like and the helical sub-domains relative to each other, which

caused the helical sub-domain to further approach the opposite NBD. Superimposing the RecA-like domains and measuring the relative angles of the α-helical domains revealed rotations of 2°,

19°, and 24° between the fully inward-open conformation and turnover-1, turnover-2, and the ATP-bound closed state (Supplementary Fig. 7). A comparison of the topotecan-bound turnover-1 and

turnover-2 structures revealed a key NBD segment contributing to functionally relevant NBD–NBD and NDB–TMD domain contacts. As ABCG2 transitions from turnover-1 to turnover-2, the segment

between Q181 and V186 undergoes a conformational change and facilitates key inter-domain contacts (Fig. 3a, b). V186 is the first residue of the VSGGE motif (equivalent to LSGGQ more

commonly found in ABC transporters)36. This motif is among the most conserved in ABC transporters and pins bound nucleotides against the Walker-A and Walker-B motifs of the opposing NBD. We

now found that in turnover-2, Q181 and F182 facilitated contacts between TM1 of one ABCG2 monomer and TM5’ of the other (Fig. 3a, b), thus helping stabilize the TMD domain closure. In

addition, the arginine residue R184 provides a direct contact, in the form of a cation-π interaction, with the adenine moiety of the ATP molecule bound to the opposite NBD (Fig. 3d). Neither

of these contacts is formed in the turnover-1 structure (Fig. 3c). We analyzed the role of R184 by mutating it to an alanine (Supplementary Fig. 8a, b). We reconstituted the purified

ABCG2_R184A_ variant in proteoliposomes and performed ATPase and transport assays (Fig. 3e, f). We found that in line with its location in the structure, both the ATPase and transport

activities of ABCG2_R184A_ were greatly reduced. As was observed for WT ABCG2, the ATPase rate of ABCG2_R184A_ was stimulated by E1S and topotecan (Fig. 3e). Furthermore, the E1S transport

rate was similarly reduced for WT ABCG2 and ABCG2_R184A_ in the presence of topotecan, suggesting that the mutation of R184 to alanine neither interfered with substrate binding nor abolished

the NBD-TMD coupling (Supplementary Fig 9a). Given that the EC50 values of E1S- and topotecan-induced stimulation of the ATPase activity of ABCG2 were similar (15.7 µM and 11.7 µM,

respectively, Supplementary Table 2)21,23, the reduction of the initial E1S transport rate by ~50% in the presence of topotecan is in line with the structural data in that topotecan and E1S

bind and compete for the same binding pocket both in WT ABCG2 and in the ABCG2R184A variant (Supplementary Fig. 9b). THE ROLE OF R482 The single-nucleotide polymorphisms R482G and R482T,

originally cloned from drug-resistant cancer cell lines37,38, have been reported to alter the substrate specificity of ABCG239. Cells expressing ABCG2R482G were found to efficiently extrude

rhodamine-123 or doxorubicin but were less resistant to topotecan, an anticancer drug that inhibits topoisomerase7,38,40,41. It was, therefore, suggested that R482 influenced substrate

transport and ATP hydrolysis, but not substrate binding42,43. R482 is located in TM3 and does not directly contact bound drugs21,22,23. Rather, it contacts TM2 which contains the key residue

F439 that interacts with substrates in cavity 119,20,21. Intriguingly, we found that the side chain of R482 adopts distinct conformations in the turnover-1 and turnover-2 structures (Fig. 

4). In turnover-1, the side chain points towards the cytoplasmic side of the membrane, where the guanidinium group forms a hydrogen bond with the side-chain of S443 of TM2 (Fig. 4b and c,

left). In contrast, the R482 side chain is rotated towards the external side of the membrane in turnover-2, where the guanidinium group contacts side chains and main-chain atoms from TM2 and

TM4 in the direct vicinity of F439 (Fig. 4b, c, right). This suggests a structural role for R482 in facilitating the conformational changes required to transition from turnover-1 to the

turnover-2 state (visualized in Suppl. movie 2). The impact of mutations of R482 on drug recognition is therefore likely of an allosteric nature. STERIC CLASHES OF INHIBITORS IN TURNOVER-2

STATE Our structures provide additional insight into the mechanism of small-molecule inhibitors of ABCG2. Previous structures revealed that the inhibitors MZ29 (a derivative of Ko143) and

MB136 (a derivative of tariquidar) bound to cavity 1 of inward-open ABCG2, which was bound to 5D3-Fab20. We find that while the size of cavity 1 in our turnover-1 structure is slightly

smaller than that of the fully inward-open conformation, only minor steric clashes would exist with the tert-butyl group of MZ29. In contrast, the strongly reduced size of cavity 1 in the

turnover-2 conformation would lead to major steric clashes with bound inhibitor molecules. Figure 5 reveals that whereas there is sufficient space in turnover-2 for bound substrates (E1S or

topotecan), the inhibitors MZ29 and MB136 could not fit. The concerted motions of TM1, TM2, and TM5 reduce the volume of cavity 1 by approximately one-third, from ~1300 Å3 in turnover-1 to

~830 Å3 in turnover-244, which is incompatible with the binding of the inhibitor molecules. We conclude that with small-molecule inhibitors bound, ABCG2 may be able to adopt the conformation

of turnover-1, but could not adopt the conformation of the turnover-2 state. Unlike in B-subfamily ABC transporters, where longer intracellular loops allow additional flexibility, binding

of inhibitors to ABCG2 prevents the TMDs to close at the cytoplasmic side and consequently the NBDs from forming a closed dimer arrangement, which is required for ATP hydrolysis. This can

explain why ABCG2 has a strongly reduced ATPase rate in the presence of inhibitors20, whereas ABCB1 does not20,29,45,46. DISCUSSION In contrast to earlier structural studies of ABCG2, we

could not predict whether the transporter would adopt a single conformation or multiple distinct conformations under turnover conditions. We also could not predict which state would

correspond to the lowest energy state in the transport cycle. Our finding that two distinct inward-open conformations containing both a bound transport substrate and two ATP molecules

corresponded to the lowest energy states was nevertheless unexpected. This arrangement was often considered to be of higher energy or even transient in ABC transporters, and thus expected to

quickly convert to intermediates where either the transport substrate was absent, or ATP had been hydrolyzed47,48. Indeed, an analysis of bovine ABCC1, another multidrug resistance protein,

captured a post-hydrolysis state under turnover conditions featuring a closed NBD dimer and a (slightly) outward-open substrate translocation pathway. This resembled a previously reported

structure of a catalytically impaired ABCC1 variant containing a Walker-B glutamate to glutamine mutation47. In contrast to bovine ABCC1, a bacterial ABC transporter of peptides, TmrAB, was

found to adopt multiple inward-open conformations under turnover conditions. These varied in how widely the NBDs were separated, the degree of inward opening of the translocation pathway,

and whether bound nucleotides or substrates could be identified48. Our findings with human ABCG2 are distinct from both of those studies, which most likely reflects the mechanistic diversity

within the ABC transporter superfamily34. By combining previously reported structures of trapped states and our turnover structures presented here, we can now propose a structure-based

hypothesis of the complete transport cycle of ABCG2 (Fig. 6). Only conformational states that are required for transport are included in this scheme. Our turnover structures have a key role

in this mechanistic scheme. Given that E1S did not promote the turnover-1 state, we concluded that ABCG2 can directly proceed to turnover-2 when smaller or endogenous substrates are bound.

We anticipate a similar situation with urate, an even smaller molecule than E1S. For these substrates, turnover-2 appears to immediately precede the rate-limiting step of the transport

cycle. In contrast, turnover-1 was the dominant class in the topotecan turnover sample. This suggests that the transition from turnover-1 to turnover-2 may be the step where exogenous

compounds are “tested” for their suitability as transport substrates. Because topotecan is larger than E1S, the transition from turnover-1 to turnover-2 is slower. We conclude that the

degree of TMD and NBD closing in the lowest energy intermediate correlates with the shape and size of ABCG2 substrates. More generally, compounds that bind in cavity 1 and allow ABCG2 to

adopt the turnover-2 conformation may be transported, even if their transport rates are slower than that of E1S. In contrast, in the presence of strongly bound inhibitors such as Ko143 and

its derivatives13,20, ABCG2 cannot advance to the turnover-2 conformation. Our results further assign a key role to the segment 181-184 of ABCG2. It was previously reported that the

polypeptide segment leading up to the LSGGQ motif appeared to have a role in stabilizing TMD-TMD interfaces in B-subfamily ABC transporters, and the term X-loop was introduced to account for

this role26. Rather than an aromatic residue to stabilize the adenine moiety of bound nucleotides, as observed in the A-loops of most ABC transporters27,49,50,51, ABCG2 relies on R184 from

the opposite protomer to assume this function. R184, therefore, appears to have a dual role in the turnover-2 state: It pioneers the contact between the two NBDs while simultaneously

strengthening the binding of ATP through a cation-π interaction with the adenine moiety. The initial NBD-NBD contact is probably important because the signature motif is not yet close enough

to interact with the ribose and triphosphate moieties of the ATP molecule. Our mechanistic scheme indicates two distinct levels of ATPase activity, a basal and a stimulated level (Fig. 6).

In the absence of substrates, ABCG2 displays a basal ATPase rate that generates 0.65 molecules of phosphate per ABCG2 dimer per second. In the presence of E1S, the ATPase rate increases to

2.4. We compared this value with the initial E1S transport rate, which is 0.1 molecules E1S per ABCG2 dimer per second. If ABCG2 hydrolyzes two molecules of ATP in one productive transport

cycle, the net futile ATPase rate in the presence of E1S is 2.2 molecules phosphate per ABCG2 dimer per second, which is 3.4 times higher than in the absence of E1S. We conclude that

substrates not only increase the ATPase rate of ABCG2 due to productive transport, but also increase the basal/futile ATPase rate. This suggests that ABCG2 may require multiple attempts

(each consuming ATP) before substrate extrusion is successfully accomplished. In both turnover states described here, the leucine gates are closed. This is notable in the case of turnover-2,

where not only the NBDs are semi-closed, but the cytoplasmic ends of the TMDs are also partially closed. This suggests that the opening of the leucine gate may only occur once the

cytoplasmic ends of the TM helices are further pushed together and peristaltic pressure is exerted on bound substrate. We speculate that at this point, ABCG2 must adopt an outward-facing

conformation, in which the leucine gates are opened and substrate can escape via cavity 2 into the extracellular environment. Such a conformation may be transient in nature given that we

have not observed it in our turnover samples. Further studies are required to capture ABCG2 or an appropriate ABCG2 variant in an outward-open conformation. In conclusion, our results

provide key insight into the transport cycle of ABCG2 and help understand how small-molecular compounds act as substrates or inhibitors. Our study may also have predictive value for

understanding the mechanisms of other ABC transporters, in particular of the G-subfamily. Given their diversity with respect to mechanistic details, it is quite possible that ABC

transporters belonging to other subfamilies will reveal distinct conformations or intermediate states most strongly populated under turnover conditions. METHODS EXPRESSION AND PURIFICATION

OF ABCG2 Human wild type ABCG2 (Uniprot: Q9UNQ0) or ABCG2 _R184A_ containing an N-terminal Flag-tag was expressed in HEK293-EBNA (Thermo Fisher Scientific) cells by transient transfection19.

Cells were incubated at 37°C for 48–60 h before harvesting. Harvested Cell were lysed using a Dounce homogenizer and solubilized with 1% DDM, 0.1% CHS (cholesteryl hemisuccinate) (w/v)

(Anatrace), 40 mM HEPES buffer pH 7.5, 150 mM NaCl, 10% (v/v) glycerol, 1 mM PMSF (phenylmethylsulfonyl fluoride), 2 μg ml−1 DNaseI (Roche), and protease inhibitor cocktail (Sigma). Lysed

cells were centrifuged at 100,000 _g_ and the supernatant was incubated with anti-Flag M2 affinity agarose gel (Sigma). ABCG2 was eluted with Flag peptide (Sigma) and applied to a Superdex

200 increase 10/300 column (GE Healthcare) in 40 mM HEPES, pH 7.5, 150 mM NaCl, 0.026% DDM and 0.0026% CHS (w/v). Peak fractions were collected for further use. ABCG2-NANODISC PREPARATION

Membrane scaffold protein (MSP) 1D1 was expressed in _E. coli_ and purified as described52. ABCG2 reconstitution in nanodiscs was performed as following methods19. In brief, brain polar

lipid (BPL, Avanti Polar Lipids) and CHS (cholesteryl hemisuccinate) were mixed at a 4:1 (w/w) ratio. Lipids were solubilized with a 3x molar excess of sodium cholate using a sonic bath.

Lipids were then mixed with MSP1D1 and detergent-purified ABCG2 at a molar ratio of 100:5:0.2 (lipid:MSP:ABCG2). Detergent was removed by addition of Bio-Beads SM-2 (Biorad) and incubated at

4 °C overnight. Biobeads were removed and the sample was centrifuged at 100,000 _g_ for 30 min. The supernatant was loaded on a Superdex 200 increase column and fractions containing

nanodisc-reconstituted ABCG2 were collected for Cryo-EM grid preparation or for functional assays. ABCG2-LIPOSOME PREPARATION ABCG2-containing proteoliposomes were prepared as

described19,53. In brief, BPL was mixed with cholesterol (Chol) at a 4:1 (w/w) ratio. Liposomes were resuspended in transport buffer (25 mM HEPES pH 7.5, 150 mM NaCl) and extruded using a

400 nm polycarbonate filter (Avanti Polar Lipids). To reconstitute ABCG2, liposomes were destabilized with 0.17% (v/v) Triton X­100. Detergent-purified ABCG2 was mixed with liposomes at a

100:1 (w/w) lipid: protein ratio. Detergent was then removed using Bio-Beads, added in multiple batches. Proteoliposomes were collected using centrifugation at 100,000 _g_. The

proteoliposome pellet was resuspended in transport buffer at a final lipid concentration of 10 mg ml−1. ATPASE AND TRANSPORT ASSAYS ATPase assays were performed at 37 °C in the presence of 2

 mM ATP and 10 mM MgCl2. Where indicated, E1S or topotecan was added at 50 μM. The concentration of inorganic phosphate released by the hydrolysis of ATP was measured by tracking absorbance

at 850 nm following the classical molybdate method54. ATPase rates were determined using linear regression in GraphPad Prism v8 and v9. For transport assays, proteoliposomes in transport

buffer (25 mM HEPES pH 7.5, 150 mM NaCl) were extruded through a 400 nm polycarbonate filter. MgCl2 (5 mM) and E1S (50 μM, containing mixtures of 3H-E1S and 1H-E1S) were added in the

presence or absence of topotecan and the samples were incubated for 5 min at 30 °C. Transport reactions were initiated by adding ATP (2 mM) and stopped by adding an aliquot to ice-cold

transport buffer containing unlabeled E1S (100 μM). Sample was filtered with a Multiscreen vacuum manifold (MSFBN6B filter plate, Millipore) and washed three times. Radioactivity trapped on

the filters was measured with the microplate scintillation counter (Perkin Elmer 2450 Microbeta2). Data were analyzed and curves were plotted using the nonlinear regression Michaelis–Menten

analysis and initial rates were calculated using the data points from the fitting curve (GraphPad Software, La Jolla, California, USA). CRYO-EM SAMPLE PREPARATION All grids were prepared

using a Vitrobot (FEI), with the environmental chamber set at 100% humidity and 4 °C. Nanodisc-reconstituted ABCG2 (1 mg ml−1) was incubated with 5 mM ATP, 5 mM MgCl2, 0.5 mM ADP, 100 μM

topotecan or 200 μM E1S at room temperature for 10 min. 3.5 μl sample was applied on glow-discharged Quantifoil carbon grids (300 meshes, R 1.2/1.3 copper) immediately after incubation.

Grids were blotted for 2.5 s with blot force 1 and flash-frozen in a mixture of liquid ethane and propane. CRYO-EM DATA ACQUISITION Cryo-EM data of ABCG2-topotecan turnover sample was

collected with a 300 keV Titan Krios (FEI) transmission electron microscope (TEM) equipped with a Gatan BioQuantum 1967 filter and a Gatan K3 camera. Images were recorded with three

exposures per hole using EPU 2 in super-resolution mode with a 20 eV slit width of the energy filter and at a nominal magnification of 130,000x, resulting in a calibrated super-resolution

pixel size of 0.33 Å. Defocus was set to vary from −0.6 to −2 μm. Each image was dose fractionated to 40 frames with 1.01 s total exposure time. The dose was 1.45 e−/Ų/frame (Total dose 58

e−/Ų). The super-resolution micrographs were down-sampled twice by Fourier cropping (to a pixel size of 0.66 Å), drift-corrected and dose-weighted using MotionCor255. Micrographs were

visually inspected, and bad micrographs were removed manually. The topotecan turnover dataset was composed of 24,177 movies from two sessions after removing bad micrographs. Cryo-EM data of

ABCG2-E1S turnover sample was collected on a 300 keV Titan Krios TEM equipped with a K2 Summit direct electron detector and a Quantum-LS energy filter (GIF) (20 eV zero-loss filtering; Gatan

Inc.). The microscope was operated with a nominal magnification of 165,000× (the actual magnification 60,975×). Automated data collections were performed using SerialEM with seven exposures

per hole using image-shift and coma-free setup56. Dose-fractionated movies were recorded in counting mode with a physical pixel size of 0.82 Å and the defocus was set in a range from −0.8

to −2.8 μm. Each movie was dose fractionated to 40 frames with 10 s total exposure time. The total dose was 50 e− /Å2. The recorded movie stacks were initially processed by MotionCor2 (FOCUS

integrated), including pre-processing procedures such as the gain-normalization, motion correction, and dose weighting57,58. The entire dataset of ABCG2-E1S turnover sample from two EM

sessions was composed of 15,460 movies. Cryo-EM data collection statistics in this study are presented in Supplementary Table 3. IMAGE PROCESSING The ABCG2-E1S turnover data were processed

separately with a similar procedure until 2D classifications (Supplementary Fig. 2). The aligned micrographs were manually sorted in FOCUS57 and imported to CryoSPARC 2.131. The contrast

transfer function (CTF) and defocus values were estimated on the dose-weighted micrographs using patch-based CTF in CryoSPARC. Images with poor quality were discarded. Defocus was calibrated

with a range of −0.8 to –2.8 μm. Images with a CTF-estimated resolution of better than 5.2 Å were selected, resulting in a total of 11,343 micrographs. A 2D template was produced by initial

2D classifications with manually picked particles. Particles of the full dataset were auto-picked with 2D templates. After multiple rounds of 2D classification, particles were combined for

3D classification. The merged data with 645,803 particles were subjected to three rounds of 3D classification to classify distinct conformations. A 3D reference was generated from ab-initio

3D reconstructions. Each round was followed by a heterogenous refinement. As shown in Supplementary Fig. 2, several setting parameters were tested and applied (Round 1: 2 classes, 0.1

similarity, force hard-classification; Round 2: 2 classes, 0.8 similarity, force hard-classification; Round 2: 3 classes, 0.1 similarity, force hard-classification), resulting in a particle

subset containing 221,160 particles. The best-resolved 3D class was further subjected to 3D nonuniform refinement (CryoSPARC). The map was refined with C1 symmetry by local refinement using

a soft-mask. The overall resolution was 3.4 Å at FSC = 0.143 cutoff. A local-resolution map was generated by MonoRes59. For the topotecan turnover sample, the drift corrected, dose-weighted

micrographs were imported in CryoSPARC v2.1531. Contrast transfer function (CTF) parameters were estimated with GCTF60. The calculated defocus parameters of the micrographs were −0.3 to −2.7

 μm. 1,534 particles were manually picked from selected micrographs to generate a 2D template for auto-picking. 2,623,169 particles were picked and extracted from 23,574 micrographs. After

10 rounds of classifications, 1,486,797 particles belonging to ‘good’ 2D classes were selected. An initial model was generated in Ab-Initio Reconstruction and used as a reference for the

first round of classification. The selected particles from 2D classification were subjected to 3D classification with 4 classes and binned 3×. A good class from the first round of 3D

classification with 750,851 particles was selected. This class was refined to 3.8 Å in Homogeneous refinement. The class was subjected to a second round of 3D classification with three

classes and binned 3×. A good class with 455,604 particles was selected, and it was refined to 3.45 Å in Homogeneous refinement. A third round of 3D classification was done with 455,604

particles and three classes. An excellent class with 311,273 particles was selected, and it was refined to 3.34 Å in Homogeneous refinement. To check if resolution can be further improved by

3D classification, a fourth round of 3D classification was done with three classes and binned 3×. Two good classes with 299,139 particles were selected and refined to 3.28 Å in Homogeneous

refinement. The 299,139 particles subset was subjected to Global CTF Refinement followed by Local CTF refinement. Further 3D variability analysis showed there was heterogeneity in one

dimension for this particle subset. To deal with the heterogeneity, a fifth-round of 3D classification was performed with 3 classes and no bin. A minor class with 78,323 particles was

isolated with the NBDs in a semi-closed conformation. Further homogeneous, local refinement and post-processing of the minor 3D class resulted in a 3.4 Å map named topotecan turnover-2, with

automatically determined B factor of −92.8 Å2. The other two major classes with 220,816 particles showed NBD open conformation, thus they were combined. Further homogenous refinement, local

refinement, and post-processing resulted in a 3.1 Å map named topotecan turnover-1, with automatically determined B factor of −106.5 Å2. The final maps were refined in C1 symmetry and were

directly used for modeling. Local resolution maps were generated using CryoSPARC v2.15. The data processing pipeline is shown in Supplementary Fig. 3. A 3D variability analysis (3DVA) of the

topotecan turnover sample was performed with particle stacks that contributed to high-resolution 3D maps in cryoSPARC v2.1531. The aim was to explore heterogeneity in single-particle

cryo-EM data sets. A mask without lipids belt, three eigenvectors and 4 Å low-pass filtered were applied for 3DVA, generating simple linear “movies” of volumes. 3DVA outputs were visualized

with 3D Variability Display tool in cryoSPARC32. We observed both turnover-1 and turnover-2 conformations in the topotecan turnover sample, whereas we only observed the turnover-2

conformation in the E1S turnover sample. To avoid bias derived from reference map when doing 3D classification, we re-classified particles of the E1S turnover sample into 6-10 classes using

turnover-1 as a reference map. We expected to classify different conformations in this way. We observed some minor classes with separated NBDs. However, none of these classes produced EM

maps of sufficient resolution to identify secondary structures. We can therefore exclude that the turnover-1 state with well-defined features is present in meaningful amounts in the E1S

turnover sample. Turnover-2 is the only well-defined state of the E1S turnover sample. MODEL BUILDING AND REFINEMENT Coot 0.9 was used for all model building steps61. ABCG2-MZ29 model (PDB

6FFC) was docked into turnover maps and used as the reference for manual rebuilding20. The coordinate of topotecan was from ABCG2-topotecan-Fabs structure (PDB 7NEZ). E1S coordinate was from

ABCG2-E1S-Fab (PDB 6HCO). Cholesterol coordinate was from ABCG2-MZ29-Fab (PDB 6HIJ) and ATP coordinate was ABCG2E211Q-ATP (PDB: 6HBU)21. The ligands were fitted into the EM density in Coot

0.9. We generated the restraints in eLBOW of Phenix62. Both topotecan and E1S turnover structures were refined against their final maps respectively in real space refinement of Phenix63. In

the final refinement, reciprocal-space refinement of the B factors and minimization global refinements were applied together with standard geometry, rotamer, Ramachandran plot, Cβ,

non-crystallographic symmetry and secondary structure restraints. The quality of final model was assessed by MolProbity64. The refinement statistics are in Supplementary Table 3. For model

validation, we applied 0.3 Å random shifts to final models using phenix_pdb_tools65. The scrambled model was refined against one of the unfiltered half maps (half map A). The Fourier shell

correlation between refined scrambled model and half map A was plotted as FSCwork. The Fourier shell correlation between refined scrambled model and half map B was plotted as FSCfree. The

overlay between the FSCwork and FSCfree indicated no over-fitting presence. FIGURE PREPARATION Figures were prepared with PyMOL (The PyMOL Molecular Graphics System, Version 2.4.0

Schrödinger, LLC), GraphPad Prism v8, v9, and UCSF ChimeraX66. Movies were prepared with UCSF Chimera67. The volume of cavity 1 in ABCG2 turnover structures was determined using POCASA44.

DATA AVAILABILITY Atomic coordinates for the E1S-bound turnover-2 structure and the topotecan-bound turnover-1 and turnover-2 structures are deposited with the Protein Data Bank under

accession codes 7OJ8, 7OJH, and 7OJI, respectively. The cryo-EM density maps for the three structures were deposited in the Electron Microscopy Data Bank under accession codes EMD-12939

(E1S-bound turnover-2 state), EMD-12951 (topotecan-bound turnover-1 state) and EMD-12952 (topotecan-bound turnover-2 state). Source Data for Figs. 1a, 3e and 3f, Supplementary Figures 1a,

2e, 3f, 3g, 8a, 9a, and 9b are provided with this paper in the Source Data file. Raw EM data are available upon request. A Life Sciences Reporting Summary for this article is available. 

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Comput Chem._ 25, 1605–1612 (2004). Article  CAS  PubMed  Google Scholar  Download references ACKNOWLEDGEMENTS This research was supported by the Swiss National Science Foundation through

the National Centre of Competence in Research (NCCR) TransCure. We thank the Scientific Center for Optical and Electron Microscopy (ScopeM) at ETH Zürich for technical support. We thank K.

Goldie, R. Irobalieva, L. Kováčik and A. Fecteau-Lefebvre for technical support with EM data collection. AUTHOR INFORMATION Author notes * Dongchun Ni Present address: Laboratory of

Biological Electron Microscopy, Institute of Physics, SB, EPFL, Lausanne, Switzerland * Henning Stahlberg Present address: Laboratory of Biological Electron Microscopy, Institute of Physics,

SB, EPFL, and Dep. Fund. Microbiol., Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland AUTHORS AND AFFILIATIONS * Institute of Molecular Biology and Biophysics,

Department of Biology, ETH Zürich, Zürich, Switzerland Qin Yu, Julia Kowal, Ioannis Manolaridis, Scott M. Jackson & Kaspar P. Locher * Center for Cellular Imaging and NanoAnalytics

(C-CINA), Biozentrum, University of Basel, Basel, Switzerland Dongchun Ni & Henning Stahlberg Authors * Qin Yu View author publications You can also search for this author inPubMed 

Google Scholar * Dongchun Ni View author publications You can also search for this author inPubMed Google Scholar * Julia Kowal View author publications You can also search for this author

inPubMed Google Scholar * Ioannis Manolaridis View author publications You can also search for this author inPubMed Google Scholar * Scott M. Jackson View author publications You can also

search for this author inPubMed Google Scholar * Henning Stahlberg View author publications You can also search for this author inPubMed Google Scholar * Kaspar P. Locher View author

publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS Q.Y. and I.M. expressed and purified wild-type ABCG2. Q.Y. cloned, expressed, and purified the

ABCG2R184A variant. S.M.J. and I.M. reconstituted ABCG2 in lipid nanodiscs and prepared EM grids of the E1S turnover sample with the help of J.K. Q.Y. reconstituted ABCG2 in lipid nanodiscs

and prepared EM grids of topotecan turnover sample with the help of J.K. Q.Y. reconstituted ABCG2 into liposomes and carried out all functional experiments. D.N. collected and processed

cryo-EM data and determined the structure of the E1S turnover sample supervised by H.S. J.K. collected cryo-EM data of the topotecan turnover sample. Q.Y. processed EM data of the topotecan

turnover ABCG2 sample and determined the turnover-1 and turnover-2 structures with the help of J.K. D.N. built and refined initial model of the E1S turnover structure. K.P.L. and Q.Y. built,

refined, and validated the structures. K.P.L. and Q.Y. wrote the manuscript with input from all authors. All authors contributed to revision of the manuscript. CORRESPONDING AUTHOR

Correspondence to Kaspar P. Locher. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests. ADDITIONAL INFORMATION PEER REVIEW INFORMATION _Nature Communications_

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CITE THIS ARTICLE Yu, Q., Ni, D., Kowal, J. _et al._ Structures of ABCG2 under turnover conditions reveal a key step in the drug transport mechanism. _Nat Commun_ 12, 4376 (2021).

https://doi.org/10.1038/s41467-021-24651-2 Download citation * Received: 01 March 2021 * Accepted: 24 June 2021 * Published: 19 July 2021 * DOI: https://doi.org/10.1038/s41467-021-24651-2

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