research papers
Structure of the MICU1–MICU2 heterodimer provides insights into the gatekeeping threshold shift
aSchool of Life Sciences, Gwangju Institute of Science and Technology (GIST), Buk-gu, Gwangju 61005, Republic of Korea, bSteitz Center for Structural Biology, Gwangju Institute of Science and Technology (GIST), Buk-gu, Gwangju 61005, Republic of Korea, cInfection and Immunity Research Laboratory, Metabolic Regulation Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea, and dDepartment of Chemistry, Gwangju Institute of Science and Technology (GIST), Buk-gu, Gwangju 61005, Republic of Korea
*Correspondence e-mail: eom@gist.ac.kr
Mitochondrial calcium uptake proteins 1 and 2 (MICU1 and MICU2) mediate mitochondrial Ca2+ influx via the mitochondrial calcium uniporter (MCU). Its molecular action for Ca2+ uptake is tightly controlled by the MICU1–MICU2 heterodimer, which comprises Ca2+ sensing proteins which act as gatekeepers at low [Ca2+] or facilitators at high [Ca2+]. However, the mechanism underlying the regulation of the Ca2+ gatekeeping threshold for mitochondrial Ca2+ uptake through the MCU by the MICU1–MICU2 heterodimer remains unclear. In this study, we determined the of the apo form of the human MICU1–MICU2 heterodimer that functions as the MCU gatekeeper. MICU1 and MICU2 assemble in the face-to-face heterodimer with salt bridges and methionine knobs stabilizing the heterodimer in an apo state. Structural analysis suggests how the heterodimer sets a higher Ca2+ threshold than the MICU1 homodimer. The structure of the heterodimer in the apo state provides a framework for understanding the gatekeeping role of the MICU1–MICU2 heterodimer.
Keywords: mitochondrial calcium uptake; MICU1–MICU2 heterodimer; MCU gatekeepers; cooperativity; Ca2+ sensing proteins; X-ray crystallography.
1. Introduction
Mitochondrial calcium homeostasis plays an essential role in modulating cellular functions including energy synthesis, signal transduction, and mitochondrial fusion and fission (Viola & Hool, 2010; Giacomello et al., 2007; Rizzuto et al., 2012). Its malfunction promotes cell death and triggers several diseases such as cerebrovascular or cardiovascular disease, motor disorders and cancer development. In particular, mitochondrial accumulation of large quantities of Ca2+ triggers excessive reactive oxygen species production, and eventually causes apoptosis and necrosis in pathological processes (Rizzuto et al., 2012; Kinnally et al., 2011; Tamargo & López-Sendón, 2011; Ansley & Wang, 2013; Wang et al., 2015; Clapham, 1995; Kamer & Mootha, 2015).
Thus, mitochondrial calcium homeostasis is tightly controlled by mitochondrial Ca2+ channels such as the Na+–Ca2+ exchanger, voltage-dependent anion channels (VDACs), the permeability transition pore (PTP) and the mitochondrial calcium uniporter (MCU) complex. The eukaryotic MCU complex comprises the MCU pore-forming subunit, an MCU paralog (MCUb), an essential MCU regulator (EMRE), MCU regulator 1 (MCUR1) localized in the inner mitochondrial membrane and mitochondrial calcium uptake (MICU) proteins in the inter-membrane space (Kirichok et al., 2004; Sancak et al., 2013; Tsai et al., 2016; Mallilankaraman et al., 2012a; Perocchi et al., 2010; Plovanich et al., 2013; Vecellio Reane et al., 2016; Tomar et al., 2016).
MICU proteins have Ca2+ binding EF-hand motifs, which form homo- or hetero-oligomers, and function as gatekeepers in the Ca2+-free (apo) state and facilitators in the Ca2+-bound state (Mallilankaraman et al., 2012b; Csordás et al., 2013; Hoffman et al., 2013; Waldeck-Weiermair et al., 2015; Liu et al., 2016; Matesanz-Isabel et al., 2016). MICU proteins have evolved from slime molds to humans and have been differentiated into MICU paralogs as well as an alternative splicing variant. Recent reports suggest that Dictyostelium discoideum has one MICU protein (DdMICU), whereas Arabidopsis thaliana has two MICU proteins (AtMICU1 and AtMICU2) (Wagner et al., 2015; Kovács-Bogdán et al., 2014; Bick et al., 2012). Intriguingly, humans have three MICU paralogs (MICU1, MICU2 and MICU3), as well as an alternative splicing variant (MICU1.1) depending on the tissues, and human MICU1 and MICU2 generally assemble as a heterodimer and regulate Ca2+ uptake of the MCU complex in most tissues (Perocchi et al., 2010; Plovanich et al., 2013; Vecellio Reane et al., 2016; Paillard et al., 2017).
Blocking or activation of mitochondrial Ca2+ (Ca2+m) uptake by the MCU complex is affected by Ca2+ binding to the MICUs participating in the MCU complex because a strong correlation between Ca2+ binding affinity and the MCU Ca2+ gatekeeping threshold for Ca2+m uptake has been demonstrated (Kamer et al., 2017). Indeed, the Ca2+ threshold for Ca2+m uptake of the MCU, as set by the MICU1–MICU2 heterodimer, is 700 nM, which is similar to the Ca2+ binding affinity with Kd = 620 nM. Whereas the MICU1 homodimer sets the Ca2+ threshold for Ca2+m uptake through the MCU at 350 nM, which is similar to the Ca2+ binding affinity with Kd ≃ 300 nM (Kamer et al., 2017).
Loss of MICU1 and MICU2 functions diminishes the cross talk between the endoplasmic reticulum and mitochondria, and induces excessive Ca2+ uptake through the MCU (Payne et al., 2017). This excessive Ca2+ uptake induces several diseases such as proximal myopathy, learning difficulties and progressive extrapyramidal movement disorders (Logan et al., 2014). However, the structure of the heterodimers is not known and the mechanism underlying the regulation of Ca2+ uptake by the heterodimer through the MCU is also unclear, although the structures of the homodimers in MICU1, MICU2 and MICU3 have been reported previously (Wang et al., 2014; Kamer et al., 2019; Xing et al., 2019; Wu et al., 2019).
In this report, we present the 2+ binding affinity lower than that of MICU1. Moreover, the structure of the MICU1–MICU2 heterodimer in the apo state provides insight into how the MICU1–MICU2 heterodimer has a higher Ca2+ threshold for Ca2+m uptake through the MCU rather than the MICU1 homodimer.
of an apo human MICU1–MICU2 heterodimer. We found a unique salt bridge, Asp231(MICU1)–Arg352(MICU2), within the heterodimer. Based on the structural and biochemical analysis, we can explain how the heterodimer shows a Ca2. Results
2.1. Overall structure of the MICU1–MICU2 heterodimer
We crystallized the heterodimer including wild-type MICU1 and a selenomethionine (SeMet) derivative of MICU2, and solved the 3.1 Å resolution ). Four MICU1–MICU2 heterodimers were observed per (ASU) (see Fig. S1 in the Supporting information). The heterodimers were formed by a face-to-face (F–F) interface similar to other MICU homodimer structures [Figs. 1(a) and 1(b)] (Wang et al., 2014; Kamer et al., 2019; Xing et al., 2019; Wu et al., 2019). Unlike MICU homodimer structures, the MICU1–MICU2 heterodimer comprised two interfaces, interfaces 1 and 2, as a result of the asymmetry of the heterodimer. Interestingly, a back-to-back (B–B) interaction was observed among heterodimers through MICU2 in an ASU, which was also observed between MICU2 homodimers [Fig. 1(c)] (Xing et al., 2019). When we superimposed four MICU1–MICU2 heterodimers in an ASU, the topology of the four heterodimers was slightly different. We classified the heterodimers into two classes, an AB dimer and a CD dimer, based on the root-mean-square deviation (RMSD) [Fig. 1(d)]. When we compared the AB and CD dimers, interface 1 was well aligned (RMSD = 0.5 Å), whereas interface 2 was more variable and the N lobe of MICU2 was tilted by 15° [Fig. 1(d)]. Therefore, the interfaces of the MICU1–MICU2 heterodimer contained a rigid interface 1 and a variable interface 2.
of the MICU1–MICU2 heterodimer using single-wavelength (Table 1
‡Rmerge = ∑h∑i |I(h)i−〈I(h)〉|/[∑h∑iI(h)i], where I(h) is the intensity of reflection of h, ∑h is the sum over all reflections and ∑i is the sum over i measurements of reflection h. §CC1/2 was calculated from MOSFLM (Battye et al., 2011). ¶Rwork = ∑hkl ||Fo| − |Fc||/(∑hkl |Fo|); 5% of the reflections were excluded for the Rfree calculation. |
2.2. Structural comparison with MICU homodimers
The MICU1–MICU2 heterodimer interface was asymmetric unlike other MICU1 or MICU2 homodimers and the topologies of the heterodimer were variable in the ASU. To understand the structural differences between the MICU1–MICU2 heterodimer and MICU1 or MICU2 homodimers, we compared the interfaces of the MICU1–MICU2 heterodimer and the homodimers of MICU1 (F–F) or MICU2 (F–F and B–B). Compared with MICU1 (F–F) and MICU2 (F–F) homodimers, the MICU1–MICU2 heterodimer (CD dimer) had a wider interface area in interface 1 but a narrower interface area in interface 2 [Figs. 2(a)–2(c)]. In addition, we calculated the binding energy for the two interfaces using PRODIGY (Xue et al., 2016). The predicted binding energies for interface 1 and interface 2 are −7.6 and −5.2 kcal mol−1, showing that interface 1 is more energetically stable (Supplementary Fig. S2). Root-mean-square fluctuation (RMSF) analysis showed that interface 1 was more rigid than interface 2 [Fig. 2(d)].
In the case of the B–B dimer comprising MICU2 (Mol BD) among the MICU1–MICU2 heterodimers in the ASU, the overall topology was similar to the B–B dimer of the apo state MICU2 homodimer [Fig. 2(e)] (Xing et al., 2019). However, the interface area in the B–B dimer of Mol BD was 1.5 times smaller than that of the B–B dimer among MICU2 homodimers (Fig. S2). The RMSD value of two MICU2 subunits in a heterodimer and a homodimer was 1.5 Å, whereas the individual N lobe or C lobe of each MICU2 was well aligned with the RMSD values of 0.5 Å or 0.8 Å, respectively. This deviation originated in the variable topology between the N lobe and C lobe of MICU2 in the heterodimer and the homodimer [Fig. 2(e)]. Thus, MICU2 in the heterodimer had a different topology between the N lobe and C lobe compared with MICU2 in the homodimer because of interaction with MICU1 in the MICU1–MICU2 heterodimer.
2.3. Structural details of the MICU1–MICU2 heterodimer interfaces
While homodimers in MICU1 and MICU2 had a symmetrical dimer interface, the MICU1–MICU2 heterodimer had an asymmetric dimer interface with interfaces 1 and 2. To understand the significance of the asymmetry of the dimer interface in the MICU1–MICU2 heterodimer, we analyzed the dimer interface in detail. Compared with the homodimers in MICU1 and MICU2, only structural differences in the interloop (L6) of MICU1 EF-hand 1 were observed in interface 1 comprising MICU1 EF-hand 1 and MICU2 EF-hand 3 (Fig. S3). The primary interactions between MICU1 and MICU2 were two salt bridges involving the highly conserved side chains of Arg221(MICU1)–Asp330(MICU2) and Asp231(MICU1)–Arg352(MICU2) [Figs. 3(a), S4 and S5]. These two salt bridges were present in both the AB and CD dimers. The Arg221(MICU1)–Asp330(MICU2) salt bridge was located at the same position as the Arg221–Asp376 salt bridge in the apo state of the human MICU1 homodimer [Fig. 3(b)] (Wang et al., 2014). Indeed, the Arg221–Asp376 salt bridge in the interface of the MICU1 homodimer is essential for dimerization in the apo state of the homodimer. The mutant (R221A–D376A), which prevents the formation of the salt bridge, did not form a homodimer. Furthermore, this mutant lost the MCU facilitator activity of MICU1 (Wang et al., 2014). It appears that the MICU1 homodimer interface including Arg221–Asp376 is biologically relevant. Thus, the MICU1–MICU2 heterodimer interface, which has a similar interface to the MICU1 homodimer, is also biologically relevant. In contrast, the other salt bridge, Asp231(MICU1)–Arg352(MICU2), has never been observed in other MICU homodimer structures. Notably, the Asp231(MICU1) was located on the interloop (L6) of EF-hand 1 participating in the Ca2+ coordination, indicating that Ca2+ binding induces structural changes directly on interface 1. Arg352(MICU2) was identified as one of two important residues, Glu242(MICU1) and Arg352(MICU2), whose alanine mutation disturbs the heterodimerization of MICU1 and MICU2 in the apo state (Wu et al., 2019). However, Glu242(MICU1) did not directly participate in interface 1 of the structure but stabilized the conformation of the interloop (L6) by forming a hydrogen bond through the backbone amide nitrogen of Leu232 [Fig. 3(a)].
In addition to the salt bridges, interface 1 included several hydrophobic interactions involving the highly conserved Met229(MICU1) and Met337(MICU2) [Figs. 3(a), S4 and S5]. Notably, two methionine residues protruded from their EF-hand like knob and fit into the hydrophobic hole formed between the opposite EF-hand helices, consistent with the highest positive solvation energy calculated using the PDBePISA web server (https://www.ebi.ac.uk/pdbe/prot_int/) (Fig. S6). In the case of the MICU1 homodimer, Met229 was not able to protrude in the opposite direction because of Tyr384, which acts as a barrier [Fig. 3(b)]. Unlike the MICU1 homodimer, Met337 in the MICU2 homodimer participated in hydrophobic interactions with the opposite EF-hand helices, although no ionic interactions were involved in the interface of the MICU2 homodimer [Fig. 3(b)]. Consistent with the analysis of interface 1, its interface area in the MICU1–MICU2 heterodimer (654 Å) was wider than that of the homodimers in MICU1 (532 Å) and MICU2 (361 Å). Thus, we suggested that the interaction of interface 1 in the MICU1–MICU2 heterodimer was stronger than that in the homodimers of MICU1 and MICU2 because of the additional salt bridge and two methionine knobs. Consistently, interface 1 in the MICU1–MICU2 heterodimer had a wider interface area and stronger predicted binding energy than that in the homodimers of MICU1 and MICU2 (Fig. S2).
Unlike interface 1, interface 2 was only composed of several hydrophobic residues including Phe383, Tyr384, Met386 and Ala387 in MICU1, and Val179, Met183, Lys199 and Ile203 in MICU2 [Figs. 3(c), S4 and S5]. Interface 2 did not include residues involved in ionic interaction similar to Arg221–Asp376 in the MICU1 homodimer [Figs. 3(c) and 3(d)]. In the case of interface 2, compared with homodimers of MICU1 and MICU2, structural differences were only observed in MICU2 EF-hand 1 in the MICU1–MICU2 heterodimer (Fig. S3). Consistent with the analysis of interface 2, the interface area of interface 2 in the MICU1–MICU2 heterodimer (346 Å) was narrower than that in the homodimers of MICU1 (596 Å) and MICU2 (406 Å). Thus, we suggested that the interaction of interface 2 in the MICU1–MICU2 heterodimer was weaker than that in the homodimers of MICU1 and MICU2. Consistently, interface 2 in the MICU1–MICU2 heterodimer had a narrower interface area and weaker predicted binding energy than that in the homodimers of MICU1 and MICU2 (Fig. S2).
Upon analysis of the interface area and predicted binding energy, interface 1 of the MICU1–MICU2 heterodimer had a wider interface area and stronger binding energy than that in the homodimers of MICU1 and MICU2. However, in interface 2, the MICU1–MICU2 heterodimer had a narrower interface area and weaker binding energy than that in the homodimers of MICU1 and MICU2. In addition, previous biochemical studies have indicated that the MICU1–MICU2 heterodimer is more stable (Kd = 224 nM in the apo state) compared with the homodimers of MICU1 and MICU2 (Wu et al., 2019; Kamer et al., 2017), implying that a strong interaction through interface 1 is important for MICU1–MICU2 heterodimerization. Thus, the MICU1–MICU2 heterodimer was found to be more stable than the homodimers, and the asymmetrical interface of the MICU1–MICU2 heterodimer showed the unique feature of a more stable interface 1 and a more flexible interface 2 compared with the homodimer interfaces.
2.4. Structural comparison with Ca2+-bound homodimer structure of MICU1
The MICU1–MICU2 heterodimer set a Ca2+ threshold at 700 nM for Ca2+m uptake through the MCU, which is at a concentration two times higher than that of the MICU1 homodimer (∼300 nM), which is consistent with the Ca2+ binding affinities of the MICU1–MICU2 heterodimer (Kd = 620 nM) (Kamer et al., 2017). This affinity and threshold shift originated in the cooperative Ca2+ binding to the MICU1–MICU2 heterodimer (Kamer et al., 2017). Accordingly, we investigated the cooperativity of the MICU1–MICU2 heterodimer and how the Ca2+ binding affinities of the heterodimer change.
Ca2+ binding to the MICU1–MICU2 heterodimer can occur either in an independent or a cooperative manner. If Ca2+ independently binds to MICU1 and MICU2 in the heterodimer, the intermediate state in the heterodimer might exist and that might be the MICU1(Ca2+ bound)–MICU2(apo) state because of the high Ca2+ affinity for MICU1. However, this hypothetical intermediate state is not possible because of clashes [Fig. 4(a)]. Thus, the intermediate states of the MICU1–MICU2 heterodimer are not possible, and a Ca2+-bound MICU1–MICU2 heterodimer is formed when Ca2+ binds to MICU1 and MICU2 cooperatively.
In addition to the structural analysis, we performed a biochemical study to verify whether the intermediate state can possibly exist. We designed a MICU2 mutant (MICU2MUT) whose two calcium binding sites are mutated (D185A/E196K for EF-hand 1, D375A/E386K for EF-hand 4). First, we prepared mixed MICU1 and MICU2MUT in the apo state, and compared them with the wild-type MICU1–MICU2 heterodimer in terms of size [Figs. 4(b) and 4(c)]. The MICU1 and MICU2MUT in the apo state behaved similarly to the wild-type MICU1–MICU2 heterodimer in (SEC), and the ratio of MICU1 and MICU2 intensities in the profile were equal. Thus, we concluded that MICU1 and MICU2MUT in the apo state formed a stable heterodimer. To mimic the MICU1(Ca2+ bound)–MICU2(apo) heterodimer state, we added Ca2+ to the mixture of MICU1 and MICU2MUT to a final concentration of 5 mM. Unlike the apo state, the mixture of MICU1(Ca2+ bound) and MICU2MUT(apo) was eluted differently in SEC compared with the apo state of the MICU1 and MICU2MUT [Fig. 4(b)], and the ratio of MICU1(Ca2+ bound) and MICU2MUT(apo) intensities in the profile were not equal [Fig. 4(c)], implying that the mixture of MICU1(Ca2+ bound) and MICU2MUT(apo) did not form a stable heterodimer. Thus, intermediate states of the MICU1(Ca2+ bound) and MICU2(apo) heterodimer are not stable. Consequently, we showed that Ca2+ binding of the MICU1–MICU2 heterodimer is not an independent process but a cooperative one. This result is consistent with the prior biochemical studies which confirmed the cooperative Ca2+ binding of the MICU1–MICU2 heterodimer using tryptophan fluorescence with a Hill coefficient of nH = 2.1 ± 0.2 (Kamer et al., 2017).
The MICU1–MICU2 heterodimer showed a lower Ca2+ binding affinity (Kd = 620 nM) compared with that of the MICU1 homodimer (Kd ≃ 300 nM). As shown in Fig. 3, Asp231(MICU1) located in EF-hand 1 makes a salt bridge with Arg352(MICU2) in the apo state. In addition, carbonyl oxygen of the Lys228(MICU1) backbone forms a hydrogen bond with Arg352(MICU2). Arg352(MICU2) is one of the essential residues for heterodimer formation. We expect that the interaction network mediated by Arg352(MICU2) might be reorganized in the Ca2+-bound structure because Asp231(MICU1) participates in Ca2+ coordination in the Ca2+-bound state [Fig. 4(d)]. It is reasonable to suppose that the binding interface around Asp231(MICU1)–Arg352(MICU2), which exists only in the MICU1–MICU2 heterodimer, should change when the MICU1–MICU2 heterodimer binds to Ca2+. The tight interaction in the apo state of MICU1–MICU2 might hinder the conformational changes required for Ca2+ binding, resulting in a lower Ca2+ binding affinity in the MICU1–MICU2 heterodimer compared with that of the MICU1 homodimer.
3. Discussion
MICUs form homo- or hetero-oligomers, recognize the extra-mitochondrial [Ca2+] and regulate the MCU channel. Although expression levels of each MICU vary between tissues (Plovanich et al., 2013; Paillard et al., 2017; Patron et al., 2019), MICUs in cells generally form MICU1–MICU2 heterodimers, which is consistent with prior biochemical studies showing that the MICU1–MICU2 heterodimer is more stable (Kd = 224 nM in the apo state) compared with homodimers of MICU1 and MICU2 (Wagner et al., 2015; Patron et al., 2014; Matesanz-Isabel et al., 2016; Mallilankaraman et al., 2012b; Kamer & Mootha, 2014; Csordás et al., 2013; Ahuja & Muallem, 2014; Wu et al., 2019; Kamer et al., 2017). In particular, it has been reported that MICU2 functions as a gatekeeper of the MCU for suppressing the cellular damage caused by excessive mitochondrial Ca2+ influx (Kamer & Mootha, 2014; Patron et al., 2014). Based on these findings, the importance of MICU heterodimers has been highlighted. However, the Ca2+ gatekeeping mechanism of MICUs has not yet been reported. Thus, structural studies of the MICU1–MICU2 heterodimer are important for understanding the differential function of the heterodimer and the MICU1 homodimer.
The F–F interface of the MICU1–MICU2 heterodimer was similar to the other F–F interfaces of homodimers in MICUs that are biologically relevant. The primary interactions of MICU1 and MICU2 in the heterodimer were two salt bridges, Arg221(MICU1)–Asp330(MICU2) and Asp231(MICU1)–Arg352(MICU2). The Arg221(MICU1)–Asp330(MICU2) salt bridge was structurally conserved with the Arg221–Asp376 salt bridge in the MICU1 homodimer. The Arg221–Asp376 salt bridge plays an essential role in MICU dimerization and MCU activation (Wang et al., 2014). Similarly, Arg221(MICU1)–Asp330(MICU2), in the heterodimer, would also be important for the heterodimerization and function, as consistent with previous results (Li et al., 2016). In the case of the other salt bridge, Asp231(MICU1)–Arg352(MICU2), Wu et al. already reported that this salt bridge is essential for the heterodimerization of MICU1 and MICU2 in the apo state (Wu et al., 2019). Thus, we assumed that the F–F interface of the MICU1–MICU2 heterodimer is biologically relevant.
The MICU1–MICU2 heterodimer had an asymmetric interface that induced the topological diversity of the heterodimer in an ASU. Compared with interface 2, interface 1 had a wider surface area, stronger binding energy and less structural fluctuation, as seen from ensemble Figs. S2 and 2(d)]. Interestingly, the rigid interface 1 included an Asp231(MICU1)–Arg352(MICU2) salt bridge. Asp231 is a highly conserved residue for Ca2+ coordination in MICU1 EF-hand 1. Thus, MICU1 EF-hand 1 can bind calcium when the salt bridge dissociates. The tight interaction in the apo state of MICU1–MICU2 might hinder the conformational changes required for the Ca2+ binding, resulting in a lower Ca2+ binding affinity in the MICU1–MICU2 heterodimer as compared with that of the MICU1 homodimer. Consequently, the MCU Ca2+ gatekeeping threshold was shifted to the higher concentration of Ca2+ by the MICU1–MICU2 heterodimer, as compared with that of the MICU1 homodimer.
[In this study, we determined the MICU1–MICU2 heterodimer structure without the C-terminal helix and proposed the mechanism of Ca2+ threshold shift. Nevertheless, the C-terminal helix is important for understanding the MCU regulation mechanism. MICU proteins are known to interact with other MICUs or the MCU through the C-terminal helix (Kamer & Mootha, 2014; Petrungaro et al., 2015; Patron et al., 2014). In particular, the C-terminal helix of all human MICU proteins has a cysteine residue for disulfide bond formation, and Mia40 has been reported to aid disulfide bond formation. In addition to the C-terminal helix, MICU1 is known to be involved in the MCU complex through the interaction between the EMRE C-terminal poly acidic region and its N-terminal poly basic region (Sancak et al., 2013; Tsai et al., 2016). The direct interaction of MICU1 and the MCU, through basic residues of MICU1 and the aspartate ring of the MCU, was also reported (Phillips et al., 2019; Paillard et al., 2018). However, the underlying mechanism of how MICU interacts with the MCU–EMRE and regulates the MCU Ca2+ gatekeeping threshold remains unclear. In addition, although a B–B interaction between MICU2 was observed in our structure, it is unclear how the B–B interaction affects Ca2+ uptake by the MCU (Xing et al., 2019). Thus, to understand the structural and functional role of MICUs, the structure of the MCU–EMRE–MICU complex needs to be determined.
4. Materials and methods
4.1. Expression and purification of MICU constructs
The human MICU1 (NM_01195518.1) (residues 85–476) and human MICU1 ΔC-terminal helix (ΔC helix) (residues 97–444) constructs were cloned into a modified pET28a vector (Novagen) with a hexahistidine (6× His) tag and a TEV protease cleavage site at the N terminal. The vectors were transformed into Escherichia coli (E. coli) BL21 (DE3) and overexpressed by induction with 0.2 mM isopropyl-1-thiogalactopyranoside (IPTG) at 20°C for 16 h.
The human MICU2 (NM_152726.3) (residues 84–434), human MICU2 ΔC helix (residues 84–401) and human MICU2 EF-hand 1 and 4 double mutant (residues 84–434; D185A, E196K, D375A and E386K) constructs were cloned into a pCold II vector (TaKaRa) with a 6× His tag at the N terminals. The vectors were transformed into E. coli BL21(DE3) (MICU2 and MICU2 EF-hand mutant) or E. coli B834(DE3) (MICU2 ΔC helix), and overexpressed by induction with 0.2 mM IPTG at 37°C for 4 h.
The cells were harvested by centrifugation and were resuspended in buffer A (50 mM Tris–HCl pH 7.2, 500 mM NaCl, 5 mM imidazole, 0.5 mM EGTA, 5 mM β-mercaptoethanol and 0.3% Triton X-100). The cell suspension was disrupted by sonication and the cell lysate was centrifuged at 15 814g for 1 h. The supernatants containing MICU proteins were loaded onto a gravity-flow column (Bio-Rad) packed with Ni-IDA agarose resin (Elpis) pre-equilibrated with buffer A, and was subsequently washed with buffer B (20 mM Tris–HCl pH 7.2, 500 mM NaCl, 50 mM imidazole and 5 mM β-mercaptoethanol) to remove the non-specific binding proteins. The proteins were eluted using buffer C (20 mM Tris–HCl pH 7.2, 300 mM NaCl, 500 mM imidazole and 5 mM β-mercaptoethanol), and the TEV sites of MICU1 and MICU1 ΔC helix were cleaved by TEV protease at 4°C for 16 h (the MICU2 and MICU2 ΔC helix proteins were not cleaved). The proteins were further purified through SEC on a HiLoad 16/60 Superdex 200 prep (Pharmacia) column with SEC buffer (20 mM MES–NaOH pH 6.8, 300 mM NaCl, 5 mM EGTA and 5 mM dithiothreitol). The collected fractions containing MICU1, MICU1 ΔC helix, MICU2, MICU2 EF-hand mutant and MICU2 ΔC helix were concentrated using an Amicon Ultra-15 30 K (Millipore) up to 3.0 mg ml−1. The final MICU1 or MICU2 proteins were stored at −80°C.
4.2. Analytical SEC of the wild-type and mutant MICU1–MICU2 heterodimer
To evaluate the cooperative characteristics of MICU1–MICU2 heterodimer formation, we performed analytical SEC with the WT MICU1 (residues 85–476) and the WT or EF-hand double mutant (D185A, E196K, D375A and E386K) MICU2 (residues 84–434). Separately purified MICU1 and MICU2 were mixed at a molar ratio of 1:1, and incubated for at least 30 min after the addition of 5 mM CaCl2 or EGTA. Each sample of the MICU1–MICU2 heterodimer was injected into a Superdex 200 10/300GL column (GE healthcare) pre-equilibrated with a buffer (20 mM MES–NaOH pH 6.8, 300 mM NaCl, 5 mM dithiothreitol, and 5 mM CaCl2 or EGTA). The molecular weight of the eluates was calculated from a standard curve generated using a standard protein kit (GE Healthcare) (Fig. S7). The eluted fractions from the same elution volume were analyzed using SDS–PAGE and Coomassie blue staining.
4.3. Crystallization of the human MICU1 ΔC and MICU2 ΔC complex
For the heterodimerization of MICU1 and MICU2, proteins were mixed at a 1:1 molar ratio. The mixed proteins were initially screened for crystallization using the sitting-drop vapor-diffusion method in a 96-well INTELLI-PLATE (Art Robbins Ins.). The MICU1–MICU2 heterodimer formed rod-shaped crystals after three days in a reservoir solution containing Index I and II Screen (Hampton Research), 25%(w/v) PEG 3350, and 0.2 M ammonium citrate tribasic (pH 7.5). Additional crystallization trials were performed using the sitting-drop vapor-diffusion method. Finally, the optimized heterodimer crystals were grown at 20°C in 2 µl drops containing equal volumes of protein and reservoir solution with 20%(w/v) PEG 3350 and 0.2 M ammonium citrate tribasic (pH 7.5). For data collection, the heterodimer crystals were cryoprotected by transferring them into a cryoprotectant containing 20%(v/v) ethylene glycol and flash cooling in liquid nitrogen.
4.4. Data collection, and refinement
Diffraction data of the MICU1–MICU2 heterodimer crystals were collected at 100 K using synchrotron X-ray sources on beamline 7A at the Pohang Accelerator Laboratory (PAL) (Pohang, South Korea). We collected the diffraction data for the heterodimer at a resolution of 3.1 Å using multiple wavelengths (0.9792 and 0.9794 Å). The diffraction data were processed and scaled using iMOSFLM (Battye et al., 2011), followed by quick scaling with POINTLESS and AIMLESS in the CCP4 package (Winn et al., 2011; Evans, 2011, 2006). Heavy-atom was determined with SHELXD in the CCP4i2 package (Sheldrick, 2010; Potterton et al., 2018). Phasing and density modification were performed with SHELXE in the CCP4i2 package (Sheldrick, 2010; Potterton et al., 2018). Model building and phase were performed with Parrot, REFMAC5 and Buccaneer in the CCP4i2 package (Skubák & Pannu, 2013; Potterton et al., 2018). In the initial model, the MICU1–MICU2 heterodimer structure was partially built. Using this initial MICU1–MICU2 heterodimer structure, we performed additional model building using the Coot program (Emsley & Cowtan, 2004). After the additional model building, iterative was performed with phenix.refine, REFMAC5 and Coot (Afonine et al., 2013, 2009, 2012; Headd et al., 2012; Liebschner et al., 2019; Murshudov et al., 2011; Emsley & Cowtan, 2004). The details of the data-collection and are provided in Table 1.
4.5. Structural analysis
All the structural figures were generated using PyMOL version 1.5.0.4 (Schrödinger LLC) and Coot (Emsley & Cowtan, 2004). Multiple sequence alignment was performed using ESPript 3.0 (ESPript; https://espript.ibcp.fr; Robert & Gouet, 2014). PDBePISA was used for interface analysis (Krissinel & Henrick, 2007) and PRODIGY was used for the prediction of binding energies (Vangone & Bonvin, 2015; Xue et al., 2016).
4.6. Ensemble refinement
Ensemble phenix.ensemble_refinement (Burnley et al., 2012). Default parameters were used in the phenix.ensemble_refinement, including pTLS = 0.8 and Tbath = 5 K, and solvent was updated every 25 cycles. The simulations have an equilibration phase (10τx) in which the temperature, X-ray weight and averaged structure factors stabilize, followed by an acquisition phase (10τx). The output structures of ensemble were visualized using PyMOL version 1.5.0.4 (Schrödinger LLC) with the script ens_tool.py.
for MICU1 and MICU2, in the MICU1–MICU2 heterodimer, was performed using structures and structure factors bySupporting information
Supporting figures. DOI: https://doi.org/10.1107/S2052252520001840/tj5030sup1.pdf
Acknowledgements
We thank the staff at beamlines BL-5C, 7A and 11C of the Pohang Accelerator Laboratory (Pohang, South Korea) and beamlines BL-1A, 5A and 17A of the Photon Factory (Tsukuba, Japan) for their kind help with data collection. SHE and JP planned and organized the experiments. JP performed purification, crystallization,
and data analysis. YL performed and data analysis. TP performed biochemical assays. JYK carried out gene cloning and expression. SAM, MJ and JY conducted the X-ray diffraction experiments. JP, YL, TP and SHE wrote the manuscript. The authors declare that they have no conflicts of interest.Funding information
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2017R1A2B2001878), as well as a GIST Research Institute (GRI) grant funded by GIST in 2020.
References
Afonine, P. V., Grosse-Kunstleve, R. W., Adams, P. D. & Urzhumtsev, A. (2013). Acta Cryst. D69, 625–634. Web of Science CrossRef CAS IUCr Journals Google Scholar
Afonine, P. V., Grosse-Kunstleve, R. W., Echols, N., Headd, J. J., Moriarty, N. W., Mustyakimov, M., Terwilliger, T. C., Urzhumtsev, A., Zwart, P. H. & Adams, P. D. (2012). Acta Cryst. D68, 352–367. Web of Science CrossRef CAS IUCr Journals Google Scholar
Afonine, P. V., Grosse-Kunstleve, R. W., Urzhumtsev, A. & Adams, P. D. (2009). J. Appl. Cryst. 42, 607–615. Web of Science CrossRef CAS IUCr Journals Google Scholar
Ahuja, M. & Muallem, S. (2014). EMBO Rep. 15, 205–206. CrossRef CAS PubMed Google Scholar
Ansley, D. M. & Wang, B. (2013). J. Pathol. 229, 232–241. CrossRef CAS PubMed Google Scholar
Battye, T. G. G., Kontogiannis, L., Johnson, O., Powell, H. R. & Leslie, A. G. W. (2011). Acta Cryst. D67, 271–281. Web of Science CrossRef CAS IUCr Journals Google Scholar
Bick, A. G., Calvo, S. E. & Mootha, V. K. (2012). Science, 336, 886. CrossRef PubMed Google Scholar
Burnley, B. T., Afonine, P. V., Adams, P. D. & Gros, P. (2012). eLife, 1, e00311. Web of Science CrossRef PubMed Google Scholar
Clapham, D. E. (1995). Cell, 80, 259–268. CrossRef CAS PubMed Web of Science Google Scholar
Csordás, G., Golenár, T., Seifert, E. L., Kamer, K. J., Sancak, Y., Perocchi, F., Moffat, C., Weaver, D., de la Fuente Perez, S., Bogorad, R., Koteliansky, V., Adijanto, J., Mootha, V. K. & Hajnóczky, G. (2013). Cell Metab. 17, 976–987. PubMed Google Scholar
Emsley, P. & Cowtan, K. (2004). Acta Cryst. D60, 2126–2132. Web of Science CrossRef CAS IUCr Journals Google Scholar
Evans, P. (2006). Acta Cryst. D62, 72–82. Web of Science CrossRef CAS IUCr Journals Google Scholar
Evans, P. R. (2011). Acta Cryst. D67, 282–292. Web of Science CrossRef CAS IUCr Journals Google Scholar
Giacomello, M., Drago, I., Pizzo, P. & Pozzan, T. (2007). Cell Death Differ. 14, 1267–1274. CrossRef PubMed CAS Google Scholar
Headd, J. J., Echols, N., Afonine, P. V., Grosse-Kunstleve, R. W., Chen, V. B., Moriarty, N. W., Richardson, D. C., Richardson, J. S. & Adams, P. D. (2012). Acta Cryst. D68, 381–390. Web of Science CrossRef CAS IUCr Journals Google Scholar
Hoffman, N. E., Chandramoorthy, H. C., Shamugapriya, S., Zhang, X., Rajan, S., Mallilankaraman, K., Gandhirajan, R. K., Vagnozzi, R. J., Ferrer, L. M., Sreekrishnanilayam, K., Natarajaseenivasan, K., Vallem, S., Force, T., Choi, E. T., Cheung, J. Y. & Madesh, M. (2013). Cell. Rep. 5, 1576–1588. CrossRef CAS PubMed Google Scholar
Kamer, K. J., Grabarek, Z. & Mootha, V. K. (2017). EMBO Rep. 18, 1397–1411. CrossRef CAS PubMed Google Scholar
Kamer, K. J., Jiang, W., Kaushik, V. K., Mootha, V. K. & Grabarek, Z. (2019). Proc. Natl Acad. Sci. USA, 116, 3546–3555. CrossRef CAS PubMed Google Scholar
Kamer, K. J. & Mootha, V. K. (2014). EMBO Rep. 15, 299–307. CrossRef CAS PubMed Google Scholar
Kamer, K. J. & Mootha, V. K. (2015). Nat. Rev. Mol. Cell Biol. 16, 545–553. CrossRef CAS PubMed Google Scholar
Kinnally, K. W., Peixoto, P. M., Ryu, S. Y. & Dejean, L. M. (2011). Biochim. Biophys. Acta, 1813, 616–622. CrossRef CAS PubMed Google Scholar
Kirichok, Y. K. G., Krapivinsky, G. & Clapham, D. E. (2004). Nature, 427, 360–364. CrossRef PubMed CAS Google Scholar
Kovács-Bogdán, E., Sancak, Y., Kamer, K. J., Plovanich, M., Jambhekar, A., Huber, R. J., Myre, M. A., Blower, M. D. & Mootha, V. K. (2014). Proc. Natl Acad. Sci. USA, 111, 8985–8990. PubMed Google Scholar
Krissinel, E. & Henrick, K. (2007). J. Mol. Biol. 372, 774–797. Web of Science CrossRef PubMed CAS Google Scholar
Li, D., Wu, W., Pei, H., Wei, Q., Yang, Q., Zheng, J. & Jia, Z. (2016). Biol. Open, 5, 962–969. CrossRef CAS PubMed Google Scholar
Liebschner, D., Afonine, P. V., Baker, M. L., Bunkóczi, G., Chen, V. B., Croll, T. I., Hintze, B., Hung, L.-W., Jain, S., McCoy, A. J., Moriarty, N. W., Oeffner, R. D., Poon, B. K., Prisant, M. G., Read, R. J., Richardson, J. S., Richardson, D. C., Sammito, M. D., Sobolev, O. V., Stockwell, D. H., Terwilliger, T. C., Urzhumtsev, A. G., Videau, L. L., Williams, C. J. & Adams, P. D. (2019). Acta Cryst. D75, 861–877. Web of Science CrossRef IUCr Journals Google Scholar
Liu, J. C., Liu, J., Holmström, K. M., Menazza, S., Parks, R. J., Fergusson, M. M., Yu, Z. X., Springer, D. A., Halsey, C., Liu, C., Murphy, E. & Finkel, T. (2016). Cell Rep. 16, 1561–1573. CrossRef CAS PubMed Google Scholar
Logan, C. V., Szabadkai, G., Sharpe, J. A., Parry, D. A., Torelli, S., Childs, A. M., Kriek, M., Phadke, R., Johnson, C. A., Roberts, N. Y., Bonthron, D. T., Pysden, K. A., Whyte, T., Munteanu, I., Foley, A. R., Wheway, G., Szymanska, K., Natarajan, S., Abdelhamed, Z. A., Morgan, J. E., Roper, H., Santen, G. W., Niks, E. H., van der Pol, W. L., Lindhout, D., Raffaello, A., De Stefani, D., den Dunnen, J. T., Sun, Y., Ginjaar, I., Sewry, C. A., Hurles, M., Rizzuto, R., UK10K Consortium, Duchen, M. R., Muntoni, F. & Sheridan, E. (2014). Nat. Genet. 46, 188–193. CrossRef PubMed Google Scholar
Mallilankaraman, K., Cárdenas, C., Doonan, P. J., Chandramoorthy, H. C., Irrinki, K. M., Golenár, T., Csordás, G., Madireddi, P., Yang, J., Müller, M., Miller, R., Kolesar, J. E., Molgó, J., Kaufman, B., Hajnóczky, G., Foskett, J. K. & Madesh, M. (2012a). Nat. Cell Biol. 14, 1336–1343. CrossRef CAS PubMed Google Scholar
Mallilankaraman, K., Doonan, P., Cárdenas, C., Chandramoorthy, H. C., Müller, M., Miller, R., Hoffman, N. E., Gandhirajan, R. K., Molgó, J., Birnbaum, M. J., Rothberg, B. S., Mak, D. O., Foskett, J. K. & Madesh, M. (2012b). Cell, 151, 630–644. CrossRef CAS PubMed Google Scholar
Matesanz-Isabel, J., Arias-Del-Val, J., Alvarez-Illera, P., Fonteriz, R. I., Montero, M. & Alvarez, J. (2016). Biochim. Biophys. Acta, 1858, 1110–1117. CAS PubMed Google Scholar
Murshudov, G. N., Skubák, P., Lebedev, A. A., Pannu, N. S., Steiner, R. A., Nicholls, R. A., Winn, M. D., Long, F. & Vagin, A. A. (2011). Acta Cryst. D67, 355–367. Web of Science CrossRef CAS IUCr Journals Google Scholar
Paillard, M., Csordás, G., Huang, K. T., Várnai, P., Joseph, S. K. & Hajnóczky, G. (2018). Mol. Cell, 72, 778–785. CrossRef CAS PubMed Google Scholar
Paillard, M., Csordás, G., Szanda, G., Golenár, T., Debattisti, V., Bartok, A., Wang, N., Moffat, C., Seifert, E. L., Spät, A. & Hajnóczky, G. (2017). Cell Rep. 18, 2291–2300. CrossRef CAS PubMed Google Scholar
Patron, M., Checchetto, V., Raffaello, A., Teardo, E., Vecellio Reane, D., Mantoan, M., Granatiero, V., Szabò, I., De Stefani, D. & Rizzuto, R. (2014). Mol. Cell, 53, 726–737. CrossRef CAS PubMed Google Scholar
Patron, M., Granatiero, V., Espino, J., Rizzuto, R. & De Stefani, D. (2019). Cell Death Differ. 26, 179–195. CrossRef CAS PubMed Google Scholar
Payne, R., Hoff, H., Roskowski, A. & Foskett, J. K. (2017). Cell Rep. 21, 3141–3154. CrossRef CAS PubMed Google Scholar
Perocchi, F., Gohil, V. M., Girgis, H. S., Bao, X. R., McCombs, J. E., Palmer, A. E. & Mootha, V. K. (2010). Nature, 467, 291–296. CrossRef CAS PubMed Google Scholar
Petrungaro, C., Zimmermann, K. M., Küttner, V., Fischer, M., Dengjel, J., Bogeski, I. & Riemer, J. (2015). Cell Metab. 22, 721–733. CrossRef CAS PubMed Google Scholar
Phillips, C. B., Tsai, C. W. & Tsai, M. F. (2019). eLife, 8, e41112. CrossRef PubMed Google Scholar
Plovanich, M., Bogorad, R. L., Sancak, Y., Kamer, K. J., Strittmatter, L., Li, A. A., Girgis, H. S., Kuchimanchi, S., De Groot, J., Speciner, L., Taneja, N., Oshea, J., Koteliansky, V. & Mootha, V. K. (2013). PLoS One, 8, e55785. CrossRef PubMed Google Scholar
Potterton, L., Agirre, J., Ballard, C., Cowtan, K., Dodson, E., Evans, P. R., Jenkins, H. T., Keegan, R., Krissinel, E., Stevenson, K., Lebedev, A., McNicholas, S. J., Nicholls, R. A., Noble, M., Pannu, N. S., Roth, C., Sheldrick, G., Skubak, P., Turkenburg, J., Uski, V., von Delft, F., Waterman, D., Wilson, K., Winn, M. & Wojdyr, M. (2018). Acta Cryst. D74, 68–84. Web of Science CrossRef IUCr Journals Google Scholar
Rizzuto, R., De Stefani, D., Raffaello, A. & Mammucari, C. (2012). Nat. Rev. Mol. Cell Biol. 13, 566–578. CrossRef CAS PubMed Google Scholar
Robert, X. & Gouet, P. (2014). Nucleic Acids Res. 42, W320–W324. Web of Science CrossRef CAS PubMed Google Scholar
Sancak, Y. M. A., Markhard, A. L., Kitami, T., Kovács-Bogdán, E., Kamer, K. J., Udeshi, N. D., Carr, S. A., Chaudhuri, D., Clapham, D. E., Li, A. A., Calvo, S. E., Goldberger, O. & Mootha, V. K. (2013). Science, 342, 1379–1382. CrossRef CAS PubMed Google Scholar
Sheldrick, G. M. (2010). Acta Cryst. D66, 479–485. Web of Science CrossRef CAS IUCr Journals Google Scholar
Skubák, P. & Pannu, N. S. (2013). Nat. Commun. 4, 2777. Web of Science PubMed Google Scholar
Tamargo, J. & López-Sendón, J. (2011). Nat. Rev. Drug Discov. 10, 536–555. CrossRef CAS PubMed Google Scholar
Tomar, D., Dong, Z., Shanmughapriya, S., Koch, D. A., Thomas, T., Hoffman, N. E., Timbalia, S. A., Goldman, S. J., Breves, S. L., Corbally, D. P., Nemani, N., Fairweather, J. P., Cutri, A. R., Zhang, X., Song, J., Jana, F., Huang, J., Barrero, C., Rabinowitz, J. E., Luongo, T. S., Schumacher, S. M., Rockman, M. E., Dietrich, A., Merali, S., Caplan, J., Stathopulos, P., Ahima, R. S., Cheung, J. Y., Houser, S. R., Koch, W. J., Patel, V., Gohil, V. M., Elrod, J. W., Rajan, S. & Madesh, M. (2016). Cell Rep. 15, 1673–1685. CrossRef CAS PubMed Google Scholar
Tsai, M. F., Phillips, C. B., Ranaghan, M., Tsai, C. W., Wu, Y., Willliams, C. & Miller, C. (2016). eLife, 5, e15545. CrossRef PubMed Google Scholar
Vangone, A. & Bonvin, A. M. (2015). eLife, 4, e07454. CrossRef PubMed Google Scholar
Vecellio Reane, D., Vallese, F., Checchetto, V., Acquasaliente, L., Butera, G., De Filippis, V., Szabò, I., Zanotti, G., Rizzuto, R. & Raffaello, A. (2016). Mol. Cell, 64, 760–773. CrossRef CAS PubMed Google Scholar
Viola, H. M. & Hool, L. C. (2010). Clin. Exp. Pharmacol. Physiol. 37, 229–235. CrossRef PubMed CAS Google Scholar
Wagner, S., Behera, S., De Bortoli, S., Logan, D. C., Fuchs, P., Carraretto, L., Teardo, E., Cendron, L., Nietzel, T., Füssl, M., Doccula, F. G., Navazio, L., Fricker, M. D., Van Aken, O., Finkemeier, I., Meyer, A. J., Szabò, I., Costa, A. & Schwarzländer, M. (2015). Plant Cell, 27, 3190–3212. CrossRef CAS PubMed Google Scholar
Waldeck-Weiermair, M., Malli, R., Parichatikanond, W., Gottschalk, B., Madreiter-Sokolowski, C. T., Klec, C., Rost, R. & Graier, W. F. (2015). Sci. Rep. 5, 15602. PubMed Google Scholar
Wang, C., Xie, N., Wang, Y., Li, Y., Ge, X. & Wang, M. (2015). Neurochem. Res. 40, 1739–1746. CrossRef CAS PubMed Google Scholar
Wang, L., Yang, X., Li, S., Wang, Z., Liu, Y., Feng, J., Zhu, Y. & Shen, Y. (2014). EMBO J. 33, 594–604. Web of Science CrossRef CAS PubMed Google Scholar
Winn, M. D., Ballard, C. C., Cowtan, K. D., Dodson, E. J., Emsley, P., Evans, P. R., Keegan, R. M., Krissinel, E. B., Leslie, A. G. W., McCoy, A., McNicholas, S. J., Murshudov, G. N., Pannu, N. S., Potterton, E. A., Powell, H. R., Read, R. J., Vagin, A. & Wilson, K. S. (2011). Acta Cryst. D67, 235–242. Web of Science CrossRef CAS IUCr Journals Google Scholar
Wu, W., Shen, Q., Lei, Z., Qiu, Z., Li, D., Pei, H., Zheng, J. & Jia, Z. (2019). EMBO Rep. 20, e47488. Google Scholar
Xing, Y., Wang, M., Wang, J., Nie, Z., Wu, G., Yang, X. & Shen, Y. (2019). Cell. Rep. 26, 1203–1212. CrossRef CAS PubMed Google Scholar
Xue, L. C., Rodrigues, J. P., Kastritis, P. L., Bonvin, A. M. & Vangone, A. (2016). Bioinformatics, 32, 3676–3678. CAS PubMed Google Scholar
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