Literature DB >> 35994636

Identification of mEAK-7 as a human V-ATPase regulator via cryo-EM data mining.

Longfei Wang1,2,3,4, Di Wu5,6, Carol V Robinson5,6, Tian-Min Fu7,8.   

Abstract

Vacuolar-type adenosine triphosphatases (V-ATPases) not only function as rotary proton pumps in cellular organelles but also serve as signaling hubs. To identify the endogenous binding partners of V-ATPase, we collected a large dataset of human V-ATPases and did extensive classification and focused refinement of human V-ATPases. Unexpectedly, about 17% of particles in state 2 of human V-ATPases display additional density with an overall resolution of 3.3 Å. Structural analysis combined with artificial intelligence modeling enables us to identify this additional density as mEAK-7, a protein involved in mechanistic target of rapamycin (mTOR) signaling in mammals. Our structure shows that mEAK-7 interacts with subunits A, B, D, and E of V-ATPases in state 2. Thus, we propose that mEAK-7 may regulate V-ATPase function through binding to V-ATPases in state 2 as well as mediate mTOR signaling.

Entities:  

Keywords:  V-ATPase; lysosomal signaling; mEAK-7; mTOR

Mesh:

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Year:  2022        PMID: 35994636      PMCID: PMC9436323          DOI: 10.1073/pnas.2203742119

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


Vacuolar-type adenosine triphosphatases (V-ATPases) are large protein complexes embedded in plasma membranes and membranes of cellular organelles and primarily function as proton pumps for maintaining intracellular pH homeostasis (1, 2). More recently, V-ATPases have been found to be crucial for mediating many signaling pathways, including Wnt, mTOR, and Notch signaling (3–6). Structural and biochemical studies have revealed that V-ATPases are composed of a cytosolic V1 complex and a membrane-embedded Vo complex (7–10). Three rotational states of V-ATPases identified by structural studies indicate a rotary mechanism of proton transfer by V-ATPases, in which the V1 complex can hydrolyze ATP to drive the rotation of the Vo complex for proton transfer (9, 11). Many protein partners have been indicated to directly bind with V-ATPases for regulating V-ATPase activity as well as mediating V-ATPase–associated cell signaling (12–14). For example, NCOA7, RPS6KA3, WDR7, CCT8, CCT7, CCT6A, CCT2, CCT3, CCT4, and TCP1 have been shown to be associated with V-ATPases, through mass spectrometry analysis (12). To further confirm and identify V-ATPase binding partners, we collected a large cryoelectron microscopy (cryo-EM) dataset of human V-ATPases purified from HEK293 cells and did multiple rounds of classifications and focused refinements. Through our structural analysis, we found an additional density tightly associated with the V1 complex in state 2 and assigned this density as mammalian Enhancer-of-Akt-1-7 (mEAK-7). Our structure reveals that mEAK-7 establishes extensive interactions with subunits V1 and may regulate the function of V-ATPases.

Results

To identify low-abundance interacting partners of human V-ATPases, we first purified human V-ATPases from HEK293 cells in detergent lauryl maltose neopentyl glycol using a fragment of SidK, an effector protein from Legionella pneumophila, as reported before (9, 15). We collected more than 30,000 images at the cryo-EM center of National Cancer Institute. As published before, our first reconstruction allowed us to generate three maps corresponding to the three rotational states of V-ATPases (Fig. 1). During further three-dimensional (3D) classification of these three rotational states, we recognized an additional density in one class that contains about 4.5% of particles in state 2, and we generated a mask of this density (Fig. 1). After another round of 3D classification and focused refinement using the mask generated, we identified three classes that display an additional density tightly associated with the V1 domain of V-ATPases (Fig. 1). Of these three classes, one class that contains 5% of total particles (16.6% of particles in state 2) gives rise to a structure with an overall resolution of 3.3 Å, which allows us to unambiguously assign most residues (Fig. 1 and ). However, due to the limited local resolution of the newly identified density in V-ATPases, we cannot build a de novo model of this region. To identify this V-ATPase binding partner, we first selected potential V-ATPase–interacting proteins that were identified in our purified V-ATPase sample by mass spectrometry, including mEAK-7, WDR7, CCT2, CCT5, CCT6A, CCT8, and NCOA7 (Fig. 1 ), and fitted their structural models predicted by AlphaFold into our density map (16). Among our candidate proteins, we found that mEAK-7 fitted best with the density (Fig. 1). As a signaling protein anchored in lysosome membranes via an N-terminal myristoyl-glycine (17, 18), mEAK-7 is composed of three domains: the N-terminal domain of nine short α-helices domains (NTD), a TLDc (Tre2/Bub2/Cdc16 lysin motif domain catalytic) fold with 12 β-strands, and a C-terminal domain (CTD) containing short α-helices (Fig. 1). Due to the resolution limitation of CTD, we cannot register residues in this motif. Moreover, the linker between TLDc and CTD was absent in our structure (Fig. 1). In addition to the class with intact mEAK7 density, we also identified two classes with partial densities of mEAK-7 by 3D classification focusing on the mEAK7 region, suggesting the plasticity of mEAK-7 in V-ATPase engagement (Fig. 1).
Fig. 1.

Identification of mEAK-7 as a V-ATPase binding partner. (A) A diagram of V-ATPases cryo-EM data processing. The best class containing mEAK-7 is highlighted in red. The mEAK-7 binding site is pointed out using red arrows. (B) Cryo-EM density of human V-ATPase in complex with mEAK-7 with all the subunits color coded; mEAK-7 is highlighted in salmon. (C) Fourier shell correlation (FSC) curves of 3D reconstructed human V-ATPase map. (D) Representative V-ATPases binding partners identified by mass spectrometry and their relative abundance. (E) The mass spectrometry fingerprint of a representative mEAK-7 peptide. (F) Structural model of mEAK-7 fitted into a cryo-EM density map with domains color coded. (G) Cryo-EM density maps of the other two classes that contain partial density of mEAK-7.

Identification of mEAK-7 as a V-ATPase binding partner. (A) A diagram of V-ATPases cryo-EM data processing. The best class containing mEAK-7 is highlighted in red. The mEAK-7 binding site is pointed out using red arrows. (B) Cryo-EM density of human V-ATPase in complex with mEAK-7 with all the subunits color coded; mEAK-7 is highlighted in salmon. (C) Fourier shell correlation (FSC) curves of 3D reconstructed human V-ATPase map. (D) Representative V-ATPases binding partners identified by mass spectrometry and their relative abundance. (E) The mass spectrometry fingerprint of a representative mEAK-7 peptide. (F) Structural model of mEAK-7 fitted into a cryo-EM density map with domains color coded. (G) Cryo-EM density maps of the other two classes that contain partial density of mEAK-7. Earlier structural studies have captured three rotational states of V-ATPases, which are related to each other by 120° (9, 11). Unexpectedly, mEAK-7 was observed only in state 2 but not in other states (Fig. 1), indicating that mEAK-7 may prefer binding to the V-ATPases in state 2 and thereby regulate the activity of V-ATPases. The mEAK-7 utilize the conserved TLDc domain and CTD to establish extensive interactions with V-ATPases, while the NTD of mEAK-7 has no contacts with any subunits of V-ATPases (Fig. 2). Subunits A and B in the V1 complex form three pairs of heterodimers with three conformations, denoted as ABopen, ABclosed, and ABsemi (Fig. 2). The TLDc domain interacts with subunits E, Aclosed, and Bsemi with a buried surface area of 1,500 Å2 (Fig. 2 ). The interfaces between TLDc and subunits E, Aclosed, and Bsemi are dominated by hydrophilic interactions (Fig. 2 ). As the three pairs of AB heterodimers display three different conformations, the TLDc domain binds to the Bsemi subunits, thus placing the CTD of mEAK-7 in the cavity of the ABsemi heterodimer (Fig. 2). While the CTD of mEAK-7 established limited interactions with Asemi, it formed extensive interactions with subunits Bsemi and D (Fig. 2). Given that subunit D is responsible for transmitting the torque through rotations induced by conformational changes of AB heterodimers, the extensive interactions between mEAK-7 CTD and subunit D may block the rotation of subunit D to impair the torque transmission. Compared with the apo V-ATPases in state 2, mEAK-7–bound V-ATPases display obvious conformational changes in the V1 complex that include the positional shift of subunits E, G, and a few helices in Bsemi and Asemi moving away from subunit D (Fig. 2 ).
Fig. 2.

Structures and interactions of mEAK-7 and the V-ATPase. (A) Ribbon diagram of V-ATPase structure in complex with mEAK-7; mEAK-7 is highlighted in green. (B) Surface representation of AB heterodimers in complex with ribbon diagram of mEAK-7 (green). The three pairs of AB heterodimers are denoted as ABopen, ABclosed, and ABsemi. (C) Detailed interactions of subunit Aclosed with TLDc domain of mEAK-7. (D) Detailed interactions of subunit Bsemi with TLDc domain of mEAK-7. (E) Detailed interactions of subunit E with TLDc domain of mEAK-7. (F) Interactions of mEAK-7 CTD with subunits Asemi, Bsemi, and D. (G) Structural comparison of subunits EG in apo state (apo) and mEAK-7–bound state (color coded). (H) Structural comparison of subunits Asemi, Bsemi and D in apo state (apo) and mEAK-7–bound state (color coded).

Structures and interactions of mEAK-7 and the V-ATPase. (A) Ribbon diagram of V-ATPase structure in complex with mEAK-7; mEAK-7 is highlighted in green. (B) Surface representation of AB heterodimers in complex with ribbon diagram of mEAK-7 (green). The three pairs of AB heterodimers are denoted as ABopen, ABclosed, and ABsemi. (C) Detailed interactions of subunit Aclosed with TLDc domain of mEAK-7. (D) Detailed interactions of subunit Bsemi with TLDc domain of mEAK-7. (E) Detailed interactions of subunit E with TLDc domain of mEAK-7. (F) Interactions of mEAK-7 CTD with subunits Asemi, Bsemi, and D. (G) Structural comparison of subunits EG in apo state (apo) and mEAK-7–bound state (color coded). (H) Structural comparison of subunits Asemi, Bsemi and D in apo state (apo) and mEAK-7–bound state (color coded).

Discussion

Here, we identified mEAK-7 as a V-ATPase–associated regulator that may regulate the function of the human V-ATPases. The mEAK-7 establishes extensive interactions with subunits in the V1 complex and prefers to bind the human V-ATPases in state 2. During the preparation of this manuscript, Tan et al. (19) posted a discovery similar to ours, in bioRxiv. In addition, Tan et al. also observed an additional C subunit density in some classes, which was not observed in our maps. Perhaps V-ATPases have different compositions in different tissues and cells, and the different sources for V-ATPase purification between us and Tan et al. lead to the divergence of reconstructed V-ATPase maps. Moreover, although the structural analysis indicates that mEAK-7 may inhibit the proton transfer by locking the V-ATPase in state 2, biochemical and cellular assays showed that mEAK-7 cannot effectively inhibit the activity of V-ATPases both in vitro and in cells (19). Perhaps the ATP hydrolysis by the V1 complex may be able to disrupt the interactions between mEAK-7 and V-ATPases during proton transfer (20). Consistently, we observed partial dissociation of mEAK-7 from subunits A or B (Fig. 1), which could explain why mEAK-7 cannot withstand the conformational changes of the V1 complex during ATP hydrolysis. Thus, the binding of mEAK-7 to V-ATPases may have other physiological roles in cells. As earlier studies have shown that mEAK-7 serves as an activator of mTORC1 signaling by facilitating the recruitment of mTORC1 to lysosomes (18), it is possible that mEAK-7 may serve as an adaptor protein to link mTORC1 with V-ATPases. But the exact mechanism of how mEAK-7 links mTORC1 and V-ATPase remains to be explored. Our current study opens the door for future study on the roles of mEAK-7 in mTORC1 signaling and V-ATPase regulation.

Materials and Methods

Purification and Cryo-EM Grid Preparation of Human V-ATPases.

The purification and cryo-EM grid preparation of human V-ATPases followed the protocol published before (15).

Data Collection and Processing.

Data were collected using a 300-kV Titan Krios microscope (FEI) equipped with a K3 direct electron detector (Gatan); 30,446 micrographs were collected in counting mode, with 40 total frames per movie, 1.5-s exposure time, 50.0 electrons per Å2 accumulated dose, and 1.08-Å pixel size. Movies were motion corrected using MotionCor2 (20), the output micrographs were imported into cryoSPARC (21), and CTFFIND4 was used to perform contrast transfer function estimation (22). Particles were picked using Topaz with a general model (23). After initial 2D and 3D classifications, particles from rotational state 2 were further classified without alignments using the “3D Classification” program in cryoSPARC (21). Strong densities were identified between A, B, and E subunits, and another round of “3D Classification” was performed on this region using a mask; 16.6% of the particles from state 2 were selected for nonuniform refinement. This region with extra density was further improved using local refinement with a mask that also included the neighboring A, B, D, E, F, and G subunits. The local refinement map was sharpened using DeepEMhancer to assist model building (24).
  24 in total

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Journal:  Nat Rev Mol Cell Biol       Date:  2007-11       Impact factor: 94.444

2.  Electron cryomicroscopy observation of rotational states in a eukaryotic V-ATPase.

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3.  mTORC1 senses lysosomal amino acids through an inside-out mechanism that requires the vacuolar H(+)-ATPase.

Authors:  Roberto Zoncu; Liron Bar-Peled; Alejo Efeyan; Shuyu Wang; Yasemin Sancak; David M Sabatini
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4.  Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs.

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Journal:  Res Comput Mol Biol       Date:  2018-04

5.  A Bacterial Effector Reveals the V-ATPase-ATG16L1 Axis that Initiates Xenophagy.

Authors:  Yue Xu; Ping Zhou; Sen Cheng; Qiuhe Lu; Kathrin Nowak; Ann-Katrin Hopp; Lin Li; Xuyan Shi; Zhiwei Zhou; Wenqing Gao; Da Li; Huabin He; Xiaoyun Liu; Jingjin Ding; Michael O Hottiger; Feng Shao
Journal:  Cell       Date:  2019-07-18       Impact factor: 41.582

6.  CryoEM of endogenous mammalian V-ATPase interacting with the TLDc protein mEAK-7.

Authors:  Yong Zi Tan; Yazan M Abbas; Jing Ze Wu; Di Wu; Kristine A Keon; Geoffrey G Hesketh; Stephanie A Bueler; Anne-Claude Gingras; Carol V Robinson; Sergio Grinstein; John L Rubinstein
Journal:  Life Sci Alliance       Date:  2022-07-06

7.  DeepEMhancer: a deep learning solution for cryo-EM volume post-processing.

Authors:  Ruben Sanchez-Garcia; Josue Gomez-Blanco; Ana Cuervo; Jose Maria Carazo; Carlos Oscar S Sorzano; Javier Vargas
Journal:  Commun Biol       Date:  2021-07-15

8.  Mapping the H(+) (V)-ATPase interactome: identification of proteins involved in trafficking, folding, assembly and phosphorylation.

Authors:  Maria Merkulova; Teodor G Păunescu; Anie Azroyan; Vladimir Marshansky; Sylvie Breton; Dennis Brown
Journal:  Sci Rep       Date:  2015-10-07       Impact factor: 4.379

9.  Cryo-EM structures of intact V-ATPase from bovine brain.

Authors:  Rong Wang; Tao Long; Abdirahman Hassan; Jin Wang; Yingyuan Sun; Xiao-Song Xie; Xiaochun Li
Journal:  Nat Commun       Date:  2020-08-06       Impact factor: 14.919

10.  Highly accurate protein structure prediction with AlphaFold.

Authors:  John Jumper; Richard Evans; Alexander Pritzel; Tim Green; Michael Figurnov; Olaf Ronneberger; Kathryn Tunyasuvunakool; Russ Bates; Augustin Žídek; Anna Potapenko; Alex Bridgland; Clemens Meyer; Simon A A Kohl; Andrew J Ballard; Andrew Cowie; Bernardino Romera-Paredes; Stanislav Nikolov; Rishub Jain; Demis Hassabis; Jonas Adler; Trevor Back; Stig Petersen; David Reiman; Ellen Clancy; Michal Zielinski; Martin Steinegger; Michalina Pacholska; Tamas Berghammer; Sebastian Bodenstein; David Silver; Oriol Vinyals; Andrew W Senior; Koray Kavukcuoglu; Pushmeet Kohli
Journal:  Nature       Date:  2021-07-15       Impact factor: 49.962

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