A protein complex composed of the outer mitochondrial membrane protein SYNJ2BP and the endoplasmic reticulum protein ESYT1 tethers the two organelles to facilitate calcium and lipid transfer.
Abstract
Mitochondria interact with the ER at structurally and functionally specialized membrane contact sites known as mitochondria–ER contact sites (MERCs). Combining proximity labelling (BioID), co-immunoprecipitation, confocal microscopy and subcellular fractionation, we found that the ER resident SMP-domain protein ESYT1 was enriched at MERCs, where it forms a complex with the outer mitochondrial membrane protein SYNJ2BP. BioID analyses using ER-targeted, outer mitochondrial membrane-targeted, and MERC-targeted baits, confirmed the presence of this complex at MERCs and the specificity of the interaction. Deletion of ESYT1 or SYNJ2BP reduced the number and length of MERCs. Loss of the ESYT1–SYNJ2BP complex impaired ER to mitochondria calcium flux and provoked a significant alteration of the mitochondrial lipidome, most prominently a reduction of cardiolipins and phosphatidylethanolamines. Both phenotypes were rescued by reexpression of WT ESYT1 and an artificial mitochondria–ER tether. Together, these results reveal a novel function for ESYT1 in mitochondrial and cellular homeostasis through its role in the regulation of MERCs.
Introduction
Mitochondria interact with several membrane-delimited organelles within the cell, including the ER, lysosomes, peroxisomes, and trans-Golgi network vesicles (Tabara et al, 2021). Mitochondria–ER contact sites (MERCs), also called mitochondria-associated membranes (MAMs) when studied at a biochemical level, are the best characterized class of membrane contact sites (MCSs) and represent the close apposition of the outer mitochondrial membrane (OMM) with the ER membrane (Giacomello & Pellegrini, 2016). MERCs are functionally and structurally specialized cellular subdomains that form signaling platforms allowing lipid synthesis and transport, calcium signalling, apoptosis regulation, mitochondrial division, and autophagosome formation (Herrera-Cruz & Simmen, 2017; Giacomello et al, 2020). MERCs have also been shown to be involved in several critical cellular pathways such as metabolic regulation in diabetes (Rieusset, 2017), inflammation (Missiroli et al, 2018), the immune response (Martinvalet, 2018), and senescence (Janikiewicz et al, 2018). Alterations in these structures have also been linked to the onset of neurodegenerative diseases including Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis (Vallese et al, 2020), and aging (Janikiewicz et al, 2018).
The proteins that mediate the formation of MERC have been extensively studied in the yeast Saccharomyces cerevisiae, where the four-subunit ER–mitochondria encounter structure is required to tether the two organelles and mediate lipid transport from the ER to mitochondria (Kornmann et al, 2009; Kojima et al, 2016) via the lipid-binding SMP domains (synaptotagmin-like mitochondrial and lipid-binding protein) present in three subunits of the complex (Kopec et al, 2010; AhYoung et al, 2015). Orthologues of the three SMP domain-containing proteins in the ER–mitochondria encounter structure complex have not been identified in mammals.
Mitochondria synthesize cardiolipin (CL) and phosphatidylethanolamine (PE) on the inner membrane, and these lipids are essential for mitochondrial function (Steenbergen et al, 2005; Funai et al, 2020). CL is produced via a multi-enzymatic cascade and PE is synthesized by phosphatidylserine decarboxylase PISD1; however, their synthesis depends on the ER for the supply of the precursor lipids phosphatidic acid (PA) and phosphatidylserine (PS), respectively (Funai et al, 2020). Lipid synthesis activity at MAMs was the first biochemical process reported at a MCS in mammals (Vance, 1990); however, a detailed mechanism of lipid transport between ER and mitochondria in mammals remains elusive.
All SMP domain-containing proteins are present at MCSs, where they are thought to facilitate non-vesicular transport of lipids between lipid bilayers (Jeyasimman & Saheki, 2020). In mammals, the ER-anchored extended synaptotagmin (ESYT) proteins are the best characterized (Saheki & De Camilli, 2017). ESYT1, ESYT2, and ESYT3 tether the ER to the plasma membrane (PM), potentially transferring lipids (Bian et al, 2018). More specifically, ESYT1 has been shown to play a role in Ca2+-dependent lipid transfer at ER–PM contacts, which requires its docking with PIP(4,5)P2 in the plasma membrane (Giordano et al, 2013; Reinisch & De Camilli, 2016; Bian et al, 2018; Ge et al, 2022). It also tethers ER to peroxisomes by a similar mechanism facilitating the transport of cholesterol (Xiao et al, 2019), raising the possibility that ESYT1 could also tether ER to mitochondria to promote lipid transfer.
In this study, we used the proximity mapping tool BioID to identify and characterize SMP domain proteins that might be involved in MERC structure and function in humans. We showed that ESYT1 is enriched at MERCs, where it forms a complex with the OMM protein SYNJ2BP. Depletion of the ESYT1–SYNJ2BP complex impairs mitochondrial calcium uptake capacity and provokes a reduction of essential mitochondrial lipids, demonstrating its essential function in cellular and mitochondrial homeostasis.
Results
Proximity labelling analysis of SMP domain proteins in human cells
We recently established that the proximity of proteins localized on two different membrane-bound organelles can be detected by the proximity mapping tool BioID (Antonicka et al, 2020; Go et al, 2021). To identify potential proteins involved in the regulation of MCSs and lipid transport between ER and mitochondria, we selected several ER-resident human SMP domain-containing proteins as baits (PDZD8, TEX2, ESYT2, and ESYT1). We generated stable inducible Flp-In T-REx 293 cell lines expressing each protein fused with BirA* (Fig S1A) and used BioID to characterize their proximity interactomes and identify potential interacting partners on the OMM.
BioID analysis of the selected SMP domain-containing proteins (Table S1) revealed that, as expected, most of their proximity interactors were ER membrane proteins involved in organelle organization, transport, lipid biosynthesis, and metabolic regulation. (34 of 40 preys shared among all four baits were ER proteins, Fig S1B and Table S1). Each bait also detected numerous unique proximity interactors. In addition, two preys common to all four baits, ALDH3A2 and FKBP8, have been reported to dually localize to mitochondria and ER (Shirane & Nakayama, 2003; Rath et al, 2021; Zeng et al, 2021) (Fig S1B).
PDZD8 was previously shown to partially localize to MERCs and tether the two organelles (Hirabayashi et al, 2017), but its interacting partner on the OMM remains unknown. Because of its capacity to regulate MERCs, the absence of PDZD8 led to decreased mitochondrial calcium uptake capacity upon ER stimulation (Hirabayashi et al, 2017). PDZD8 was later described to interact with RAB7 and ZFYVE27 (Protrudin) to establish three-way MCSs between the ER, late endosomes, and mitochondria and to mediate lipid transfer required for late endosome maturation (Elbaz-Alon et al, 2020; Shirane et al, 2020; Khan et al, 2021; Gao et al, 2022). Mass spectrometry results obtained with either the N- or C-terminal PDZD8-BirA* fusion proteins confirmed the proximity interaction with ZFYVE27 but failed to identify any OMM-localized partner (Table S1).
TEX2 is still uncharacterized in mammals; however, its yeast ortholog Nvj2 localizes to ER–vacuole (lysosome-like organelle) contact sites at steady state. Upon ER stress or ceramide overproduction, it translocates to ER–Golgi contacts to facilitate the non-vesicular transport of ceramide from the ER to the Golgi, counteracting ceramide toxicity (Liu et al, 2017). Consistent with the role of Nvj2 in yeast, we identified 12 proteins belonging to the ER–Golgi vesicle-mediated transport pathway in the TEX2 proximity interactome (Table S1, in green); however, as with PDZD8, we did not identify an OMM proximity interactor.
In contrast to ESYT2, that constitutively tethers ER to the PM and is localized in the cortical ER, the interaction of ESYT1 with the PM is activated by Ca2+ binding. The proportion of ESYT1 present throughout the ER or concentrated at ER–PM contacts is controlled by cytosolic Ca2+ (Chang et al, 2013; Giordano et al, 2013; Idevall-Hagren et al, 2015). As ESYT members could form heteromeric complexes, ESYT-dependent ER–PM contacts are regulated by both cytosolic Ca2+ and the specific phospholipid PI(4,5)P2 at the PM (Fernandez-Busnadiego et al, 2015). In both N- and C-terminal ESYT1-BirA* experiments (Table S1), we confirmed the interaction with its known partner ESYT2. Importantly, we also found a unique specific proximity interaction with the OMM protein SYNJ2BP (OMP25) (Figs 1A and S1B). This interaction was previously noted but never further investigated (Christianson et al, 2011; Hung et al, 2017). Significantly, ESYT2 BioID analysis also identified ESYT1 (Table S1) as its main proximity interactor but failed to identify SYNJ2BP, suggesting that ESYT1 may form a specific complex with SYNJ2BP at MERCs independent of its interaction with ESYT2 at ER–PM contacts.
Immunoprecipitation of ESYT1 from human fibroblasts stably overexpressing a C-terminal 3xFLAG-tagged version of ESYT1 followed by LC–MS analysis showed that SYNJ2BP (and ESYT2) co-immunoprecipitated with ESYT1 (Table S2), confirming our proximity interaction results.
We further compared the BioID profile of SMP proteins with the BioID of an ER-targeted BirA*, that promiscuously labels proteins in the ER and vicinity, serving as a control for protein-independent ER proximity labelling (Table S1). SYNJ2BP was not found as proximity interactor of ER-BirA*, further validating the specificity of the interaction between ESYT1 and SYNJ2BP (Fig S1C and D).
These data prompted us to perform a BioID analysis using SYNJ2BP as bait (Fig S1A and Table S1) and we observed a strong enrichment of ESYT1, confirming the proximity interaction of the two partners. SYNJ2BP was shown to interact with another ER-localized protein RRBP1 to regulate the formation of MERCs (Hung et al, 2017), and we also identified RRBP1 as prey. Hung et al (2017) also reported an interaction between SYNJ2BP and the multi aminoacyl tRNA synthetase complex (Mirande, 2017), an interaction we also confirmed, further substantiating the specificity of our BioID results.
We then compared the BioID profile of SYNJ2BP with the BioID of an OMM-targeted BirA*, serving as a control for protein-independent OMM proximity labelling (Table S1). ESYT1 was not found as proximity interactor of OMM-BirA*, validating the specificity of the interaction between ESYT1 and SYNJ2BP (Table S1 and Fig 1B).
In conclusion, of the four SMP domain-containing proteins we profiled, only ESYT1 identified a specific proximity interacting partner on the OMM, SYNJ2BP, suggesting that this complex could play a role in the regulation of MERC formation and/or function.
ESYT1 localizes to MERCs
To further investigate the interaction between ESYT1 and SYNJ2BP at MERCs, we profiled the proximity interactome of the MERCs using an engineered MERC-targeted BirA* (Fig S1E and Table S1). This construct was based on a fluorescent MERC tether first designed by Hajnoczky (Csordas et al, 2006) and reported to successfully rescue both MERC and Ca2+ loss in cells devoid of several other contact site protein regulators including inositol-3-phosphate receptor (IP3R), PDZD8, RMDN3-VAPB or MFN2 (Gomez-Suaga et al, 2017; Hirabayashi et al, 2017; Hernández-Alvarez et al, 2019). BirA* was then fused between the OMM-targeting sequence of mAKAP1 at the N-terminus and the ER-targeting sequence of yUBC6 at the C-terminus. We analysed the tether-BirA* proximity interactions with previously characterized MERC proteins alongside ESYT1 and SYNJ2BP (Fig 1B) and showed that tether-BirA* interacted with all the queried preys, consistent with an interaction of ESYT1 and SYNJ2BP at MERCs.
To confirm this localization, we next studied ESYT1 intracellular localization by immunofluorescence and confocal microscopy (Fig 1C). In human fibroblasts stably overexpressing SEC61B-mCherry as an ER marker (green) and stained for PRDX3 as a mitochondrial marker (cyan), endogenous ESYT1 (magenta) specifically localized along the ER network forming puncta, especially on ER tubules (which function in lipid and hormone synthesis) rather than on the perinuclear sheets (which function in protein synthesis) (Schwarz & Blower, 2016). The focal localization of endogenous ESYT1 along the ER network partially colocalized with mitochondria (Fig 1C, yellow arrows), illustrated by line scans of fluorescence intensities (Fig 1D). Quantitative analysis confirmed that more than 30% of the endogenous ESYT1 colocalized with mitochondria and that a third of mitochondria were positive for ESYT1 (Fig 1E).
Consistent with these results, subcellular fractionation of mouse liver (Fig 1F) showed that endogenous ESYT1 is present in the microsomal light membrane fraction containing ER, and in the heavy membrane fraction containing mitochondria and MAM. Gradient-purification of the heavy membranes into MAM and highly purified mitochondria revealed that ESYT1 was enriched in MAMs, with a similar fractionation profile as the MAM marker SIGMAR1. Significantly, SYNJ2BP, in addition to being enriched in mitochondria, was also present in the MAM fraction.
To further characterize the function of ESYT1, we generated a CRISPR-Cas9–mediated KO in human fibroblasts and fibroblasts stably overexpressing a C-terminal 3xFLAG-tagged version of ESYT1 (Fig 1G). BN-PAGE analysis of DDM-solubilized heavy membrane fractions (Fig 1H) revealed that endogenous ESYT1 was present in three main large complexes, with the main one at approximately 410 kD. The specificity of these complexes was confirmed by their absence in different clones of the KO cell lines. Finally, the ESYT1-FLAG overexpressing cell line showed that the tagged version of ESYT1 behaved similarly to the endogenous protein (Fig 1H), but formed slightly larger complexes because of the addition of the 3xFLAG tag.
Together, these results show that ESYT1 and its OMM partner SYNJ2BP localize to the MERCs, and that ESYT1 forms high molecular weight complexes.
Loss of ESYT1 decreases MERCs
As ESYT1 is known to tether the ER membrane to the PM (Saheki, 2017) and to peroxisomes (Xiao et al, 2019), we sought to determine whether ESYT1 could similarly act as a tethering protein regulating MERCs. Using transmission electron microscopy (TEM), we analyzed the morphology and characteristics of MERCs in human control fibroblasts compared with ESYT1 KO cells and KO cells where a Myc-tagged version of ESYT1 was stably reintroduced (Fig 2A). TEM image analysis revealed that the loss of ESYT1 led to a decrease in both the number and mean length of MERCs, resulting in an overall decrease in the perimeter of mitochondria covered by ER membrane (Fig 2B and C). MERC defects were completely rescued by the reintroduction of ESYT1–Myc, confirming the specificity of this phenotype. Notably, mitochondria in ESYT1 KO cells have a larger perimeter than control cells, a phenotype that was fully rescued by the expression of ESYT1–Myc. The larger perimeter likely results from the loss of MERCs, which demarcate sites of mitochondrial fission (Giacomello et al, 2020). These experiments show that loss of ESYT1 impacts MERC formation, and suggests a potential direct role as a physical tether between the two organelles.
SYNJ2BP but not ESYT1 promotes the formation of mitochondria–ER contacts
We next investigated the consequences of the overexpression of ESYT1, or its mitochondrial partner SYNJ2BP on MERC architecture. The overexpression of a 3xFLAG-tagged version of ESYT1 did not influence the morphology of MERCs (Fig 3A and B); however, as was previously demonstrated (Nemoto & De Camilli, 1999; Hung et al, 2017; Pourshafie et al, 2022), SYNJ2BP overexpression strikingly promoted the formation of MERCs, specifically by increasing the length of individual contacts between the two organelles and the mitochondrial perimeter in contact with the ER in a “zipper-like” fashion (Fig 3B). In this condition, the perimeter of mitochondria was smaller and the ER–mitochondrial network was recruited to the perinuclear region of the SYNJ2BP overexpressing cells (Fig 3A). Immunofluorescence and confocal microscopy analysis confirmed both the significant increase of MERCs and the perinuclear accumulation of the ER–mitochondrial network when SYNJ2BP was overexpressed (Fig S2A). In these conditions, we also observed that endogenous ESYT1 was recruited to MERCs, where it accumulated and formed large foci (Fig S2A, white arrowheads). Quantitative analysis, using confocal microscopy to compare control, SYNJ2BP KO, and SYNJ2BP overexpressing fibroblasts, demonstrated that the presence of ESYT1 at mitochondria is dependent on SYNJ2BP expression (Fig 3C). In contrast to SYNJ2BP overexpression, loss of SYNJ2BP which decreased MERCs (Ilacqua et al, 2022; Pourshafie et al, 2022) was associated with a decreased localization of ESYT1 at mitochondria.
SYNJ2BP was shown to interact with another ER-localized protein RRBP1 to regulate the formation of MERCs (Hung et al, 2017). To explore the relation between SYNJ2BP, ESYT1 and RRBP1, we analyzed their subcellular localization in human control fibroblasts and fibroblasts overexpressing SYNJ2BP (Fig 3D). Although ESYT1 and RRBP1 are both ER membrane proteins, their localization differs in control cells. RRBP1 is preferentially localized on the perinuclear sheets and ESYT1 on ER tubules (Fig 3D(a)). When SYNJ2BP is overexpressed and MERCs increased, the large ESYT1 foci recruited to mitochondria specifically localize in regions of SYNJ2BP accumulation (Fig 3D(b) white arrowheads). In addition, we observed a mitochondrial ghost pattern for ESYT1 localization that we do not see in control cells (Fig 3D(c) yellow arrowheads). In this condition, ESYT1 and RRBP1 actually accumulate in different areas of the mitochondrial network (Fig 3D(c)), suggesting different functions of the SYNJ2BP–ESYT1 and SYNJ2BP–RRBP1 complexes. Quantitative confocal microscopy analysis of MERCs in control fibroblasts, SYNJ2BP overexpressing fibroblasts, ESYT1 KO fibroblasts, and ESYT1 KO fibroblasts overexpressing SYNJ2BP (Fig 3E) confirmed the reduction of MERCs in the absence of ESYT1 and showed that the effect of SYNJ2BP overexpression on MERC formation is partially dependant on the presence of ESYT1.
Because of the contribution of mitochondrial fission and fusion-related proteins in the formation or stabilization of MERCs, including the OMM fusion protein MFN2 (de Brito & Scorrano, 2008) and the main mitochondrial fission regulator DRP1 (Prudent et al, 2015), we decided to investigate their potential contribution to SYNJ2BP-dependent MERC formation. Control cells and cells overexpressing SYNJ2BP were depleted for either DRP1 or MFN2 (Fig S2B). As expected, in both control cells and cells overexpressing SYNJ2BP, depletion of DRP1 led to a hyperfused mitochondrial network (a and b), whereas loss of MFN2 induced mitochondrial fragmentation (c and d). In both conditions, the overexpression of SYNJ2BP still promoted a strong increase of MERCs as monitored by confocal microscopy (b and d, cyt c as a mitochondrial marker and HSPA5 as an ER marker). However, the recruitment of the ER–mitochondrial network around the nucleus was less prominent after DRP1 knockdown. We conclude that the effect of SYNJ2BP on MERC formation is independent of MFN2 and DRP1.
SYNJ2BP is present in a high-molecular weight complex with ESYT1
To better understand the relationship between ESYT1 and SYNJ2BP, we investigated their potential interaction by BN-PAGE analysis. Whereas endogenous SYNJ2BP ran mostly as a monomer (Fig 4A, left), when overexpressed (a condition that promotes MERCs), SYNJ2BP appeared in two high molecular weight complexes (Fig 4A, left), one of which was at the same size as the ESYT1 complex at 410 kD (Fig 4A, right, lower horizontal line). Overexpression of SYNJ2BP together with a 3xFLAG tagged version of ESYT1 leads to the shift of ESYT1 complex to a higher molecular weight. In this condition, the 410 kD SYNJ2BP complex specifically shifted to a similar molecular weight, demonstrating the interaction of the two partners in this complex (Fig 4A, right, higher horizontal line). A second dimension BN/SDS–PAGE analysis confirmed that when overexpressed, a fraction of SYNJ2BP is present in two different complexes, one that runs at the size of the ESYT1 complex and one to similar size of the RRBP1 complex (Fig 4B). Knockdown of RRBP1 did not affect the assembly of ESYT1 complex (Fig 4C), nor did the knockdown of ESYT1 affect the RRBP1 complex, demonstrating that the complexes are not interdependent. However, the presence of SYNJ2BP in the 410 kD complex is specifically dependant on ESYT1, because its depletion leads to the loss of the SYNJ2BP complex at 410 kD (Fig 4C), demonstrating that ESYT1 and SYNJ2BP belong to the same complex.
A study by Hung et al reported that the interaction of SYNJ2BP with RRBP1 depends on cytoplasmic translation activity (Hung et al, 2017). To confirm that the two SYNJ2BP complexes are independent, we analyzed the effects of puromycin, a translation inhibitor, on the formation of both complexes. Puromycin treatment led to a large decrease in the steady-state level of RRBP1 and a concomitant increase of ESYT1, without affecting SYNJ2BP levels (Fig 4D). A second-dimension experiment confirmed that puromycin induced a specific loss of the SYNJ2BP–RRBP1 complex, without affecting the complex between SYNJ2BP and ESYT1 (Fig 4E). Together, these results demonstrate that SYNJ2BP interacts with both ESYT1 and RRBP1, but in two different complexes that are physically and functionally independent.
ESYT1 is required for ER to mitochondria Ca2+ transfer
In mammals, the best characterized functional feature of MERCs is Ca2+ flux from the ER to mitochondria required to sustain mitochondrial homeostasis (Rossi et al, 2019). Ca2+ is released from the ER through the IP3R and crosses the OMM through the voltage-dependent anion channel, which interacts with IP3R via the cytosolic protein GRP75 (Szabadkai et al, 2006). Ca2+ is then transported to the matrix via the IMM mitochondrial calcium uniporter (MCU) complex (De Stefani, Raffaello et al, 2011; Bick et al, 2012). MERCs provide spatially constrained microdomains in which Ca2+ released from the ER can accumulate at high concentrations sufficient to induce mitochondrial Ca2+ uptake via the low Ca2+ affinity MCU (Rizzuto et al, 1998; Csordas et al, 2006; Szabadkai et al, 2006). As a consequence, proteins that regulate MERC formation affect ER to mitochondria Ca2+ transfer; a decrease of MERCs has been widely associated to a decrease of Ca2+ transfer from the ER to mitochondria (de Brito & Scorrano, 2008; De Vos, Morotz et al, 2012; Stoica et al, 2014; Hirabayashi et al, 2017).
ER–PM contact sites are responsible for store-operated Ca2+ entry (SOCE), a process allowing cellular, and in particular, cytosolic and ER, Ca2+ replenishment (Ahmad et al, 2022). Silencing ESYT1 impairs SOCE efficiency in Jurkat cells (Woo et al, 2020), but not in HeLa cells (Giordano et al, 2013; Woo et al, 2020). To avoid confounding effects because of the loss of ESYT1 at ER–PM, and to SOCE impairment which can impact mitochondrial Ca2+ uptake capacity, we first evaluated mitochondrial Ca2+ pumping upon ER-Ca2+ release in HeLa cells (Fig 5). We compared control cells, ESYT1 knock-down cells, and ESYT1 knock-down cells expressing an engineered ER–mitochondria tether (Hirabayashi et al, 2017). Knock-down of ESYT1 led to a decrease of mitochondrial Ca2+ uptake from the ER upon histamine stimulation, as monitored by a genetically encoded Ca2+ indicator targeted to the mitochondrial matrix (CEPIA-2mt) (Suzuki et al, 2014) (Fig 5A and B). Importantly, the expression of the artificial mitochondria–ER tether was able to rescue mitochondrial Ca2+ defects observed in ESYT1 silenced cells upon histamine stimulation (Fig 5B), suggesting that the observed anomalies are specifically because of MERC defects. As loss of ESYT1 does not impact SOCE in HeLa cells (Giordano et al, 2013; Woo et al, 2020), we measured total ER Ca2+ store using the cytosolic-targeted R-GECO Ca2+ probe upon thapsigarin treatment, an inhibitor of the sarco/ER Ca2+ ATPase SERCA that blocks Ca2+ pumping into the ER (Fig 5C and D) and observed no difference in our different conditions. Finally, to confirm that these defects in mitochondrial Ca2+ uptake were not associated with a decreased levels of the main proteins involved in mitochondrial Ca2+ flux, we analysed their levels in ESYT1-silenced HeLa cells. Acute silencing of ESYT1 did not have appreciable effects on the levels of MCU, MICU1 or MICU2 (Fig 5E and F). Together, our results in HeLa cells show that silencing of ESYT1 leads to decreased mitochondrial calcium uptake upon ER stimulation because of a decrease of MERCs.
To investigate the role of ESYT1 in mitochondrial Ca2+ dynamics in fibroblasts, we compared control human fibroblasts, ESYT1 KO fibroblasts, and ESYT1 KO fibroblasts expressing either ESYT1-Myc or the engineered ER–mitochondria tether (Figs 6 and S3). In contrast to the above results in Hela cells, loss of ESYT1 impaired SOCE efficiency in fibroblasts, as measured with the cytosolic probe Fluoforte, after addition of calcium chloride on thapsigargin-treated cells (Fig 6A and B). We therefore investigated the influence of ESYT1 loss on cytosolic Ca2+ concentration after ATP (Fig 6F–H) or histamine (Fig S3D–F) stimulation using the cytosolic-targeted Ca2+ probe reporter aequorin. Both conditions showed a reduced cytosolic Ca2+ concentration in ESYT1 KO cells after ER-Ca2+ release. In addition, whereas ESYT1 KO does not influence the total ER Ca2+ pool (Fig 6K and L), the decrease of ER-Ca2+ release capacity we observed was confirmed using the ER-targeted R-CEPIA1er upon histamine stimulation (Fig 6I and J). Nevertheless, loss of ESYT1 decreased the Ca2+ uptake capacities of mitochondria upon histamine (Fig S3A–C) or ATP stimulation (Fig 6C–E). To determine if the defect of mitochondrial Ca2+ was fully because of the observed impairment of SOCE, or if it was partially associated with MERC defects, we performed different rescue conditions experiments. Significantly, whereas both the cytosolic and mitochondrial Ca2+ defects were rescued by reexpression of ESYT1–Myc in ESYT1–KO fibroblsasts, expression of the artifical tether only specifically rescued the mitochondrial Ca2+ phenotype, but not the cytosolic ones. Thus, these results suggest that similar to HeLa cells, the decrease of mitochondrial Ca2+ uptake observed in fibroblasts is not fully because of SOCE and cytosolic Ca2+ defects, but rather to the decrease of MERCs induced by loss of ESYT1. Finally, immunoblot analysis (Fig 6M and N) in ESYT1 KO fibroblasts showed that the levels of the major proteins involved in mitochondrial Ca2+ pumping were not affected, nor was the assembly of the IP3R or the MCU complexes (Fig 6O). Several posttranslational modifications are known to regulate IP3R activity (Hamada & Mikoshiba, 2020) and it is possible that these could be affected by the loss of ESYT1.
Together, these results highlight the distinct and dual roles of ESYT1 in Ca2+ regulation at the ER–PM and at MERCs.
SYNJ2BP is required for ER to mitochondria Ca2+ transfer
Based on the results obtained for ESYT1 and the significant increase of MERCs upon the overexpression of the OMM ESYT1 partner SYNJ2BP, we next investigated the role of SYNJ2BP in mitochondrial Ca2+ dynamics (Fig 7). To do so, we compared control fibroblasts with SYNJ2BP KO human fibroblasts (two different clones) and fibroblasts overexpressing SYNJ2BP (either bulk cultures or a clone) (Fig 7). Similar to ESYT1 loss, the absence of SYNJ2BP strongly decreased both maximal mitochondrial Ca2+ concentration (Fig 7A and B) and mitochondrial Ca2+ uptake rate (Fig 7C). SYNJ2BP overexpression however significantly increased mitochondrial Ca2+ uptake capacity upon histamine stimulation (Fig 7A–C). In contrast to ESYT1, the level of SYNJ2BP did not influence cytosolic Ca2+ concentration (Fig 7D–F) upon histamine stimulation. Finally, SYNJ2BP overexpression did not affect levels of proteins involved in mitochondrial Ca2+ pumping (Fig 7G and H).
To better understand the effect of SYNJ2BP on mitochondrial Ca2+ uptake, we analyzed its role in MERC formation using an in situ proximity ligation assay (PLA), an established method to analyze MERCs (Fig 7I and J) (Tubbs & Rieusset, 2016). As seen in our TEM analysis (Fig 3A and B), overexpression of SYNJ2BP increased the number of MERCs, monitored by the increase of the number of PLA foci per cell compared with controls. In contrast, SYNJ2BP KO led to a reduction in the number of PLA foci per cell, indicating a decrease number of MERCs (Fig 7I and J). Together these results confirm that the quantity of MERCs is proportional to the level of SYNJ2BP expression (Ilacqua et al, 2022; Pourshafie et al, 2022), which therefore strongly influences mitochondrial Ca2+ uptake capacity.
ESYT1 regulates mitochondrial lipid homeostasis
Mitochondrial lipid composition is distinct from that in other organelles (Funai et al, 2020) and plays a critical role in the regulation of mitochondrial and cellular homeostasis (Sassano et al, 2022; Ventura et al, 2022). The most abundant mitochondrial phospholipids are phosphatidylcholine (PC), phosphatidylethanolamine (PE), cardiolipin (CL), phosphatidylinositol (PI), and phosphatidylserine (PS). CL and PE are synthetized in the IMM, requiring the import of precursor lipids, phosphatidic acid (PA) and PS, respectively, from the ER membrane at MERCs. Indeed, numerous studies have highlighted the critical contribution of MERCs in generating a platform for efficient lipid exchanges between the two organelles (Tamura et al, 2020).
As the ESYT1–SYNJ2BP complex controls MERC architecture, we investigated the role of ESYT1 in lipid transfer from ER to mitochondria. We performed shotgun mass spectrometry lipidomics, allowing broad coverage of lipids and absolute quantification (Lipotype GmbH), from purified mitochondria. We compared control human fibroblasts (control, n = 3), ESYT1 KO fibroblasts (KO, n = 4), and ESYT1 KO fibroblasts expressing either ESYT1–Myc (Rescue, n = 6) or the ER–mitochondria artificial tether (Tether, n = 6). Over 1,484 lipid entities were identified and quantified of which 149 were statistically different after filtering (Table S3). Multivariant data analysis using principal component analysis (Fig 8A) and hierarchical clustering with heatmap analysis (Fig S4A) showed tight clustering of the replicates and a clear separation between control, KO, and rescue conditions. ESYT1 and artificial tether overexpressing samples clustered together, suggesting that the mitochondrial lipid content is similar in these samples. Fig S4B shows the profile of the different lipid classes identified. The loss of ESYT1 resulted in a decrease proportion of the three main mitochondrial lipid categories CL, PE, and PI, which was accompanied by an increased proportion of PC (Fig 8B). Importantly, reintroduction of both ESYT1 and the artificial tether rescued this phenotype.
To investigate if overexpression of ESYT1 or the artificial tether induced ER stress, potentially changing the ER lipid composition, we performed an immunoblot analysis to compare markers of ER stress in control fibroblasts, KO ESYT1 fibroblasts, KO ESYT1 fibroblasts overexpressing ESYT1-Myc or the tether (Fig S4C). This showed no changes in the levels of several different markers of ER stress (GRP78, EIF2A, PERK) or cell death (PARP1, CAS7).
Together, these results demonstrate that ESYT1 is required for optimal lipid transfer from ER to mitochondria, likely through its tethering function as this phenotype is completely rescued by the artificial tether, suggesting that other lipid transport proteins are involved.
Discussion
This study demonstrates that the ESYT1–SYNJ2BP tethering complex regulates essential physiological functions that occur at the mitochondrial–ER interface. ESYT1 and SYNJ2BP localize to MAM subdomains where they interact in a high molecular weight complex, favouring the formation of MERCs. The two partners are interdependent in that localization of ESYT1 at mitochondria requires SYNJ2BP expression (Fig 3C), and the absence of ESYT1 reduces the effect of SYNJ2BP overexpression on MERC induction (Fig 3E). Loss of this tethering function results in reduced mitochondrial calcium uptake capacity and impaired mitochondrial lipid homeostasis. Thus the ESYT1–SYNJ2BP complex fulfills all the essential criteria for a bona fide inter-organellar tether (Eisenberg-Bord et al, 2016; Scorrano et al, 2019). Although ESYT1 harbours calcium-binding and lipid transfer domains, both functions can be replaced at MERCs by an artificial mitochondria–ER tether.
A challenge for the study of MERCs is the multiplicity of described tethers. Although one might predict that the loss of a single protein complex would not be sufficient to disrupt MERC structure and function, that is not what we observed for ESYT1–SYNJ2BP in this study. That appears to be a general observation for the other mammalian proteins that have been proposed to tether the two organelles: PDZD8 (Hirabayashi et al, 2017), the dually OMM- and ER-localized MFN2 (de Brito & Scorrano, 2008), and the OMM protein RMDN3 that interacts with the ER protein VAPB (De Vos et al, 2012; Stoica et al, 2014). All have been shown to regulate MERC formation and loss of function in all cases can be rescued by an engineered ER-OMM linker (Gomez-Suaga et al, 2017; Hirabayashi et al, 2017; Hernández-Alvarez et al, 2019) indicating that each of these protein complexes constitutes an essential tether. Whether or how the loss of one tether affects the other tethering complexes remains unexplored, but loss of individual tethers is clearly sufficient to provoke abnormal cellular calcium dynamics and interorganellar lipid transport. These data suggest, at least in the cellular models where they have been studied, that compensatory mechanisms are not commonly up-regulated. This may not be the case in animal models. For instance, the loss of all three ESYTs does not affect mouse development, viability, fertility, brain structure, ER morphology or synaptic protein composition (Sclip et al, 2016; Tremblay & Moss, 2016), so clearly, adaptive mechanisms exist. In fact, the loss of all ESYTs induces the expression the lipid transfer proteins OSBPL5 and OSBPL8 and the SOCE-associated proteins ORAI1 and STIM1 (Tremblay & Moss, 2016). A mechanistic resolution of the inter-relatedness of different tethering complexes will require further study.
The multiplicity of tether complexes also suggests the existence of different types of MERCs of variable composition, sustaining specific functions such as lipid transfer, calcium exchange or regulation of apoptosis. We demonstrated that contact sites occupied by SYNJ2BP and MFN2 are independent and are likely physically and functionally different because SYNJ2BP still promoted MERC formation in the absence of MFN2 (Fig S2B). We also show that, when overexpressed, SYNJ2BP can be part of two different complexes with ESYT1 or RRBP1 (Fig 4), that localize in different areas of the mitochondrial network (Fig 3D), suggesting that SYNJ2BP may sustain multiple functions at MERCs. Moreover, whereas the loss of either ESYT1 or SYNJ2BP reduces the number and length of MERCs, only the overexpression of SYNJ2BP enhanced MERC formation, leading to the recruitment of ESYT1 at MERCs (Fig 3C and D) and increased mitochondrial Ca2+ uptake capacity (Fig 7). SYNJ2BP acts like a glue zipping ER to mitochondria, the quantity of MERCs being proportional to the level of SYNJ2BP expression (Fig 7). Interestingly, it has recently been reported that SYNJ2BP-dependant MERCs are involved in the physiopathology of neuronal and viral diseases (Duan et al, 2022; Pourshafie et al, 2022).
The function of ESYT1 at ER–PM contact sites has been extensively studied (Saheki, 2017). ESYT1 consists of an N-terminal hairpin-like transmembrane domain that anchors ESYT1 to the ER. The ESYT1 SMP domain binds and transports lipids in vitro (Bian et al, 2018) and the five C2 domains (A to E) bind Ca2+ and mediate interactions with phospholipids (Corbalan-Garcia & Gomez-Fernandez, 2014). Ca2+ binding to the C2C domain in ESYT1 enables the binding of the C2E domain to PI(4,5)P2-rich membranes at the PM. It has been previously suggested that ESYT1 ER-PM tethering would be activated by and reinforce SOCE (Giordano et al, 2013; Maleth et al, 2014; Idevall-Hagren et al, 2015; Kang et al, 2019). A recent study demonstrated that ESYT1 deletion impacts SOCE in a cell-type specific manner, and that this phenotype is independent of its role in ER–PM tethering function (Woo et al, 2020). Our results in human fibroblasts confirmed that the loss of ESYT1 impairs SOCE (Fig 6). The implication of ESYT1 could then be explained by its function in the distribution and replenishment of PIP2 at the ER–PM junctions (Chang et al, 2013; Maleth et al, 2014; Kang et al, 2019). Interestingly, the reintroduction of an artificial ER–mitochondria tether did not resolve either the cytosolic or the ER Ca2+ phenotype because of the loss of ESYT1, but fully rescued the mitochondrial Ca2+ impairment, highlighting the additional function of ESYT1 as a tether at MERCs.
Loss of ESYT1 altered mitochondrial lipid composition with significant decreases of CL, PE, and PI proportions which, in addition to being among the most abundant lipids in mitochondrial membranes (Funai et al, 2020), are essential for normal mitochondrial physiology (Belikova et al, 2006; Acin-Perez et al, 2008; Bottinger et al, 2012; Raemy & Martinou, 2014; Hsu et al, 2015; Acoba et al, 2020). The observation that the artificial tether was able to rescue this phenotype, suggests that although ESYT1 is not required for lipid transfer from ER to mitochondria, it is essential for optimal lipid transfer through its tethering property. It is possible that the mechanical tethering provided by ESYT1 might organize specialized membrane domains that serve as platforms to recruit other lipid transport proteins.
Several proteins have been proposed to participate in the lipid exchange between ER and mitochondria in mammals including RMDN3 (Yeo et al, 2021) and MFN2 (Hernández-Alvarez et al, 2019). Of particular interest, VPS13D is present at MERCs, binds the OMM GTPase RHOT2 (Guillen-Samander et al, 2021), and has been proposed to link ER to mitochondria and support lipid transfer (Guillen-Samander et al, 2021). OSBPL5 and OSBPL8 were shown to localize to MAMs, their loss leading to mitochondrial morphology and respiration defects (Galmes et al, 2016). OSBPL5 and OSBPL8 bind to the mitochondrial intermembrane bridging/mitochondrial contact sites and cristae junction organizing system complexes, where they mediate non-vesicular transport of PS from ER to the mitochondria (Monteiro-Cardoso et al, 2022). Interestingly, we found VPS13D and VPS13A as proximity interactors of SYNJ2BP. Likewise, we found OSBPL8 as a proximity interactor of ESYT1, suggesting a potential partnership between ESYT1 as a tether and the lipid transport protein OSBPL8.
A recent study (Leterme & Michaud, 2023; Sassano et al, 2023) suggested that ESYT1 is recruited at MERCs by the ER protein PERK, independently of its kinase activity, but an OMM partner was not identified. The loss of either partner, ESYT1 or PERK, impaired ER–mitochondria lipid transfer; however, only the loss of the latter affected the quantity of MERCs and mitochondrial Ca2+ uptake. It was concluded that ESYT1 is not involved in MERC tethering but actively transport lipids through its SMP domain. This study and ours highlight a new and previously unappreciated role of ESYT1 at MERCs and the differences between them may reflect the cellular models investigated (HeLa and shRNA-mediated knockdown vs fibroblasts and CRISPR-Cas9–mediated KO).
The molecular mechanisms that regulate SYNJ2BP–ESYT1 complex formation remain unknown. SYNJ2BP is a C-terminal tail-anchored OMM protein with a PDZ domain facing the cytosol (Hung et al, 2017). PDZ domains are small globular protein–protein interaction domains that bind the C-terminus of partner proteins. Some PDZ domains can also bind phosphatidylinositides, especially PI(4,5)P2 and cholesterol (Liu & Fuentes, 2019), suggesting a synergistic binding of PDZ to phosphatidylinositide lipids and proteins (Pemberton & Balla, 2019). This raises the possibility that the binding of ESYT1 to SYNJ2BP could involve an interaction with PI(4,5)P2 at the surface of the OMM, an hypothesis that will require further investigation.
Materials and Methods
Cell culture
Fibroblasts, HeLa cells, Flp-In T-REx 293 (Invitrogen), and Phoenix packaging (a kind gift of Garry P Nolan) cell lines were grown in 4.5 g/liter glucose DMEM (Wisent 319-027-CL) supplemented with 10% fetal bovine serum in 5% CO2 incubator at 37°C. Galactose media were composed of DMEM (A14430-01; Gibco) supplemented with 10% dialysed fetal bovine serum, sodium pyruvate (Sigma-Aldrich), MEM nonessential amino acids (Gibco), GlutaMAX (Gibco), and 4.5 g/liter of galactose. Cell lines were regularly tested for mycoplasma contamination. For cytosolic translation inhibition, cells were treated with puromycin at 200 μM final concentration for 2.5 h. ON-TARGETPlus SMARTPool siRNA (Dharmacon) were used for transient knockdown of DRP1 (L-012092-00-0005) and MFN2 (L-012961-00-0005) and stealth siRNA (Invitrogen) for knockdown of SYNJ2BP (HSS124399), RRBP1 (HSS109381), and ESYT1 (HSS146329). siRNAs were transiently transfected into cells using Lipofectamine RNAiMAX (Invitrogen), according to the manufacturer’s specifications. Cells were analyzed after 6 d.
Generation of KO and overexpression cell lines
KO cell lines of ESYT1 and SYNJ2BP were generated by CRISPR-Cas9–mediated gene editing in human fibroblast cells. Gene-specific target sequence 5′GTTCTTTCTCGTCGCGGACC-3′ for ESYT1 and 5′GAAGAGATCAATCTTACCAG-3′ for SYNJ2BP was cloned into pSpCas9(BB)-2A-Puro (PX459) V2.0 (62988; Addgene) (Ran et al, 2013) and transfected into cells by Lipofectamine 3000 (Thermo Fisher Scientific) according to the manufacturer’s instructions. The day after, transfected cells were selected by the addition of puromycin (2.5 μg/ml) for 2 d. Individual clones were screened for loss of target protein by immunoblotting and frameshift mutations were confirmed by genomic sequencing. Cells stably overexpressing ESYT1-3xFLAG, ESYT1-Myc, SYNJ2BP, and the artificial tether (Hirabayashi et al, 2017) were engineered by retroviral infection of virus produced in Phoenix cells transfected with pLXSH-Hygro plasmids as described previously (Weraarpachai et al, 2009). The artificial tether plasmid (blue fluorescent protein with OMM-targeting sequence of mAKAP1 at the N-terminus and the ER-targeting sequence of yUBC6 at the C-terminus) was a kind gift from Franck Polleux, and was engineered based on the original artificial tether from Csordas et al (2006). Flp-In T-REx 293 stable cell lines were generated as previously described (Antonicka et al, 2020).
Bait cloning
All constructs were generated using Gateway cloning into a suitable pDEST-pcDNA5-BirA*-FLAG construct (to create either an N- or C- terminal BirA*-FLAG fusion proteins). Gateway entry clones for ESYT1 (cat. # HOC21918; GeneCopoeia), ESYT2 (#66831; Addgene), PDZD8 (HsCD00400023; DNasu), and TEX2 (HsCD00351688; DNasu) were used. For SYNJ2BP, an entry clone was created by PCR amplification of the ORF from human cDNA (fwd primer: 5′-GGGGACAAGTTTGTACAAAAAAGCAGGCTTCATGAACGGAAGAGTGGATTATTTG-3′, rev primer: 5′- GGGGACCACTTTGTACAAGAAAGCTGGGTTCAAAGTTGTTGCCGGTATCT-3′), followed by a subcloning into pDONR-221 (Invitrogen). For creation of tether_BirA* construct, the blue fluorescent protein sequence in the artificial tether was replaced with BirA*-FLAG, and the construct was cloned into pDEST-pcDNA5. For OMM_BirA* and ER_BirA*, the ER-targeting sequence (yUBC6) or the OMM-targeting sequence (mAKAP1) were removed from the tether_BirA* using mutagenesis primers 5′-CATACTCGAGATCCTTCTTTCG-3′ and 5′-CACCTACTCAGACAATGCGATGC-3′, respectively.
For selection of stable Flp-In T-REx 293 expressing clones, a previously described procedure was used, and representative images for all baits are shown in Fig S1 (Antonicka et al, 2020).
Immunofluorescence
For immunofluorescence experiments, cells plated on coverslips 24 h before the experiment were fixed using 4% formaldehyde in PBS for 20 min at 37°C. Coverslips were washed three times with PBS and cells were permeabilized in 0.1% Triton in PBS for 15 min at room temperature. After three washes with PBS, coverslips were blocked in PBS containing 5% BSA for 30 min, incubated with primary antibodies for 1 h at room temperature, washed three times with PBS, and incubated with Alexa-conjugated secondary antibodies (1:2,000) and DAPI (1:2,000) for 30 min at room temperature. Coverslips were washed three times with PBS and mounted with Fluromount-G (Thermo Fisher Scientific). Cells were imaged with Olympus IX83 microscope connected with Yokogawa CSU-X confocal scanning unit, using UPLANSAPO 100x/1.40 Oil objective (Olympus) and Andor Neo sCMOS camera. Images were processed in Fiji (Schindelin et al, 2012).
BioID sample preparation, mass-spec data acquisition, and MS data analysis
BioID analysis, mass spectra acquisition, and MS data analysis were performed as described previously (Antonicka et al, 2020). For analysis with SAINT, only proteins with iProphet protein probability >0.95 were considered, which corresponds to an estimated protein level FDR of ∼0.5%. A minimum of two detected peptide ions was required. SAINTexpress analysis was performed using version exp3.6.3 with two biological replicates per bait. SAINT analysis included 50 negative control runs used previously in a study by Antonicka et al (2020) consisting of untransfected Flp-In T-Rex 293 cells (to detect endogenously biotinylated proteins) and BirA*-FLAG-GFP cells (to detect preys that become promiscuously biotinylated). A threshold of 1% Bayesian false discovery rate was used to select high-confidence proximity interactors (Table S1). All nonhuman protein contaminants were removed from the SAINT file.
Databases used for analysis
Mitocarta 3.0 (Rath et al, 2021) was used for annotation of detected preys as mitochondrial proteins. PANTHER17.0 database was used for Gene Ontology annotations (GO database released 22/03/2022).
BioID data visualization
BioID data were visualized using ProHits-viz (Knight et al, 2017) analysis tool. For all analyses, average spectrum (AvgSpec) was used as the abundance measure and subtraction of the spectral counts across the controls was performed. The spectral counts for each prey were normalized to the Prey Sequence Length.
For ESYT1 specificity plot, a file combining BioID data of all SMP-domain proteins was used as input file and the specificity module was used. For ESYT1 versus ER_BirA* comparison plot, a file combining BioID data of all SMP-domain proteins, ER_BirA*, OMM_BirA*, and tether_BirA* was used as the input file and the Condition–condition module was used. For dot plot graph, a file combining BioID data of ESYT1, SYNJ2BP, ER_BirA*, OMM_BirA*, and tether_BirA* was used. The figures were annotated and color-coded using the visualization module of ProHits-viz. Venn diagrams were created using either Venny 2.1 (https://bioinfogp.cnb.csic.es/tools/venny/index.html) or https://bioinformatics.psb.ugent.be/webtools/Venn/.
ESYT1-FLAG immunoprecipitation
Heavy membrane fraction from human fibroblasts overexpressing ESYT1-Flag was lysed in lysis buffer (10 mM Tris pH 7.5, 150 mM NaCl, 1% DDM + protease inhibitor) for 20 min at 4°C, centrifuged for 15 min at 20,000g and supernatant was collected. This extract was precleared overnight at 4°C with rotational mixing with rinsed naked beads (Dynabeads Protein A; Invitrogen). Beads for immnunoprecipitation were incubated overnight at 4°C with rotational mixing with the Flag antibody in Na-phosphate pH 8, 0.08%tween20 buffer, washed three times with 0.1 M Na-phosphate/0.08% Tween 20 pH 8 buffer, and washed two times with 0.2 M TEA/0.08% Tween 20 pH 8. Antibody was crossed-linked to the beads using DMP (dimethyl pimelimidate dihydrochloride) in 0.2 M TEA/0.08% Tween 20 pH 8 (5.4 mg/ml) for 30 min with rotational mixing at room temperature. Reaction was stopped by adding 50 mM Tris/0.08% Tween 20 pH 7.5 and incubate for 15 min at room temperature with rotational mixing. Beads were washed three times with PBS/0.08% Tween 20 pH 8, not cross-linked antibody was removed by eluting twice with 0.1 M glycine/0.08% Tween 20 pH 2.5 and rotational mixing at room temperature for 10 min each time. Beads were finally washed three times with PBS/0.08% Tween 20 pH 8 and incubated with the precleared extract overnight at 4°C with rotational mixing. Naked beads treated the same way were used for negative control. Beads were then washed two times with lysis buffer, two times with high salt buffer (10 mM Tris pH 7.5, 450 mM NaCl, 0.1% DDM), and two times with low salt buffer (10 mM Tris pH 7.5, 150 mM NaCl, 0.1% DDM). Immunoprecipitated proteins were eluted twice with 0.1 M glycine/0.5% DDM pH 2.5 at 50°C for 15 min. Physiological pH was restored by adding 1MTris pH 7.5. Proteins were precipitated with trichloroacetic acid and sent for mass spectrometry analysis on an Orbitrap (Thermo Fisher Scientific) at the Institute de Recherches Cliniques de Montreal.
Mouse liver fractionation
C57/BL6N male mice were obtained from Jackson Laboratories, and liver harvesting and animal handling were approved and performed in accordance with the Montreal Neurological Institute Animal Care Committee regulations. The fractionation was performed as described in the study by Aaltonen et al (2022).
Heavy-membrane preparation and sucrose bilayer mitochondrial purification
For heavy-membrane fraction preparation, cells were rinsed twice, resuspended in ice-cold ST buffer (250 mM sucrose, 10 mM Tris–HCl pH 7.4) + Complete protease inhibitor cocktail (Roche), and homogenized with 10 passes of a prechilled, zero-clearance homogenizer (Kimble/Kontes). A postnuclear supernatant was obtained by centrifugation of the samples twice for 10 min at 600g. Heavy membranes were pelleted by centrifugation for 10 min at 10,000g and washed once in the same buffer. Protein concentration was determined by Bradford assay.
For sucrose bilayer mitochondrial purification, heavy-membrane fractions were resuspended in ST buffer, loaded on top of a sucrose bilayer (1 ml of 1 M sucrose in ST buffer on top of 1 ml of 1.7 M sucrose in ST buffer), and centrifuged for 40 min at 70,000g. The band at the sucrose bilayer intersection containing pure mitochondria was harvested, diluted in ST buffer, and centrifuged for 10 min at 12,000g. The pellet was then washed once with ST buffer. Protein concentration was determined by Bradford assay.
SDS–PAGE, BN-PAGE, two-dimensional electrophoresis, and Western blot
Blue-Native PAGE (BN-PAGE) was used to separate individual protein complexes. Heavy membranes were solubilized with 1% dodecyl maltoside or 8 mg/ml of digitonin for MCU and IP3R complexes. Solubilized samples (10–20 μg) were run in the first dimension on 6–15% polyacrylamide gradient gels as described in detail previously (Leary & Sasarman, 2009). For the second-dimension analysis, BN-PAGE/SDS–PAGE was carried out as detailed previously (Antonicka et al, 2003).
SDS–PAGE was used to separate denatured whole-cell extracts, heavy membranes or mouse fractionation samples. In general, whole cells were extracted with 1.5% lauryl maltoside in PBS, after which, 20 μg of protein was run on either 10%, 12%, or 15% polyacrylamide gels.
Separated proteins were transferred to a nitrocellulose membrane (PALL), and subsequently incubated with indicated primary and secondary antibodies in 5% skim-milk Tris-buffered saline solution with 0.1% Tween 20.
TEM analysis
Cells were washed in 0.1 M Na cacodylate washing buffer (Electron Microscopy Sciences) and fixed in 2.5% glutaraldehyde (Electron Microscopy Sciences) in 0.1 M Na cacodylate buffer overnight at 4°C. Cells were then washed three times in 0.1 M Na cacodylate washing buffer for a total of 1 h, incubated in 1% osmium tetroxide (Mecalab) for 1 h at 4°C, and washed with ddH2O three times for 10 min. Then, dehydration was performed in a graded series of ethanol/deionized water solutions from 30% to 90% for 8 min each, and 100% twice for 10 min each. The cells were then infiltrated with a 1:1 and 3:1 Epon 812 (Mecalab):ethanol mixture, each for 30 min, followed by 100% Epon 812 for 1 h. Cells were embedded in the culture wells with 100% Epon 812 and polymerized overnight in an oven at 60°C. Polymerized blocks were trimmed and 100-nm ultrathin sections were cut with an Ultracut E ultramicrotome (Reichert Jung) and transferred onto 200-mesh Cu grids (Electron Microscopy Sciences). Sections were post-stained for 8 min with 4% aqueous uranyl acetate (Electron Microscopy Sciences) and 5 min with Reynold’s lead citrate (Thermo Fisher Scientific). Samples were imaged with a FEI Tecnai-12 transmission electron microscope (FEI Company) operating at an accelerating voltage of 120 kV equipped with an XR-80C AMT, 8 megapixel CCD camera. Based on the images, MERC characteristics (number, length, mitochondrial perimeter coverage) were measured using ImageJ software. The distance between ER and OMM was selected within 10–80 nm, manually traced, and quantified using ImageJ software.
PLA
A PLA (Duolink PLA, Merk) was used to analyze the interaction of characterised ER and mitochondria resident proteins, which interact at MAMs, namely voltage-dependent anion channel1 (ab14734; Abcam) and IP3R1 (ab264281; Abcam) (Tubbs & Rieusset, 2016). Cells were cultured on coverslips in 24-well plates and were fixed in 5% PFA for 10 min at 37°C, quenched using 50 mM ammonium chloride and permeabilized with 0.1% Trition-X100 in PBS for 10 min. Between each step, cells were washed three times in PBS. Cells were blocked in Duolink blocking solution and incubated in a humidified chamber at 37°C for 1 h. Primary antibodies were diluted in Duolink antibody diluent and incubated at 4°C overnight. The next day, cells were washed twice with PBS for 5 min and probed with the appropriate secondary antibodies coupled to the template DNA strands at 37°C for 1 h at RT. The template DNA strand on each antibody was ligated by a DNA ligase at 37°C for 30 min at RT. Cells were washed twice with PBS for 5 min at RT and rolling loop DNA amplification was then initiated using a DNA polymerase and fluorescent nucleotides enabling detection by confocal microscopy. Cells were washed twice in PBS for 10 min and once in ddH2O for 1 min before being mounted onto glass slides using mounting media containing 4′, 6-diamidino-2- phenylindole (DAPI) (ProLong Diamond; Invitrogen). At least 20 cells were analyzed from three independent experiments.
Lipid extraction for mass spectrometry lipidomics
Mass spectrometry-based lipid analysis was performed by Lipotype GmbH as described (Sampaio et al, 2011). Lipids were extracted using a two-step chloroform/methanol procedure (Ejsing et al, 2009). Samples were spiked with internal lipid standard mixture containing the following: cardiolipin 16:1/15:0/15:0/15:0 (CL), ceramide 18:1; 2/17:0 (Cer), DAG 17:0/17:0, hexosylceramide 18:1; 2/12:0 (HexCer), lyso-phosphatidate 17:0 (LPA), lyso-phosphatidylcholine 12:0 (LPC), lyso-phosphatidylethanolamine 17:1 (LPE), lyso-phosphatidylglycerol 17:1 (LPG), lyso-phosphatidylinositol 17:1 (LPI), lyso-phosphatidylserine 17:1 (LPS), phosphatidate 17:0/17:0 (PA), phosphatidylcholine 17:0/17:0 (PC), phosphatidylethanolamine 17:0/17:0 (PE), phosphatidylglycerol 17:0/17:0 (PG), phosphatidylinositol 16:0/16:0 (PI), phosphatidylserine 17:0/17:0 (PS), cholesterol ester 20:0 (CE), sphingomyelin 18:1; 2/12:0; 0 (SM), triacylglycerol 17:0/17:0/17:0 (TAG). After extraction, the organic phase was transferred to an infusion plate and dried in a speed vacuum concentrator. As the first step, dry extract was resuspended in 7.5 mM ammonium acetate in chloroform/methanol/propanol (1:2:4, V:V:V) and in the second step, dry extract in 33% ethanol solution of methylamine in chloroform/methanol (0.003:5:1; V:V:V). All liquid handling steps were performed using Hamilton Robotics STARlet robotic platform with the Anti Droplet Control feature for organic solvent pipetting.
Lipidomics MS data acquisition
Samples were analyzed by direct infusion on a QExactive mass spectrometer (Thermo Fisher Scientific) equipped with a TriVersa NanoMate ion source (Advion Biosciences). Samples were analyzed in both positive and negative ion modes with a resolution of Rm/z = 200 = 280,000 for MS and Rm/z = 200 = 17,500 for MSMS experiments, in a single acquisition. MSMS was triggered by an inclusion list encompassing corresponding MS mass ranges scanned in 1-D increments (Surma et al, 2015). Both MS and MSMS data were combined to monitor CE, DAG, and TAG ions as ammonium adducts; PC, PC O-, as acetate adducts; and CL, PA, PE, PE O-, PG, PI, and PS as deprotonated anions. MS only was used to monitor LPA, LPE, LPE O-, LPI, and LPS as deprotonated anions; Cer, HexCer, SM, LPC, and LPC O- as acetate adducts.
Lipidomics data analysis and post-processing
Data were analyzed with Lipotype’s in-house developed lipid identification software based on LipidXplorer (Herzog et al, 2011; Herzog et al, 2012). Data post-processing and normalization were performed using Lipotype’s in-house developed data management system. Only lipid identifications with a signal-to-noise ratio >5, and a signal intensity fivefold higher than in corresponding blank samples were considered for further data analysis.
Lipidomics statistical analysis
Lipidomics result analysis was performed using the integrative tool LipotypeZoom from Lipotype. Lipids were selected with a cut-off of fold change ≷ ±3 and a P-value < 0.05 with a Benjamini & Hochberg adjustment.
Aequorin-based mitochondrial and cytosolic calcium measurements
To measure cytosolic or mitochondrial Ca2+ concentration, cells were cultured in white 96-well plates (Corning) and reverse-transduced with adenovirus containing either the mutated mitochondrial matrix-targeted (mtAEQmut) (Montero et al, 2000) or wild-type cytosolic aequorin (CytAEQ) (Brini et al, 1995) probes and incubated overnight at 37°C and 5% CO2. Cells were washed three times in BSS + Ca2+ (120 mM NaCl, 5.4 mM KCl, 0,8 mM MgCl2, 6 mM NaHCO3, 5.6 mM D-glucose, 2 mM CaCl2, and 25 mM HEPES [pH 7.3]) and incubated with 5 μM coelenterazine (Sigma-Aldrich) in BSS + Ca2+ for 90 min at 37°C and 5% CO2. Post-incubation, cells were washed once in BSS + Ca2+ and luminescence was measured by spectrophotometry (ClarioSTAR, BMG LabTek). Luminescence was measured every 2 s for 2 min. Basal luminescence was measured for 10 s followed by 100 μM histamine stimulation. At 1 min, cells were digitonized and saturated with Ca2+ by injection of 100 μM digitonin and 10 mM CaCl2, to discharge all luminous potential. Aequorin luminescence was calibrated into Ca2+ concentration using Equation (1). For mtAEQmut: n = 1.43, KTR = 22,008 and KR = 22,770,000. For CytAEQ: n = 2.99, KTR = 120 and KR = 7,230,000. Statistical significance was determined from four independent experiments (N = 4) by repeated measures one-way ANOVA and Tukey’s post hoc test for differences.
(1) |
Equation (1). Relationship between Ca2+ concentration and AEQ luminescence. L = Light intensity, LMax = Sum of all light intensities, KR = Constant for Ca2+-bound state, KTR = Constant for Ca2+-unbound state, λ = Rate constant for AEQ consumption at Ca2+saturation. n = Number of Ca2+ binding sites (Bonora et al, 2013).
Intracellular calcium analysis
Cells were seeded on a Nunc Lab-Tek chambered eight-well cover glass (Thermo Fisher Scientific). To measure mitochondrial, cytosolic, and ER calcium content, cells were transfected respectively with plasmids encoding mitochondria-targeted GECI (CEPIA2mt), cytosolic-targeted GECI (R-GECO) or cytosolic-targeted FluoForte and ER-targeted GECI (R-CEPIA1er) (Suzuki et al, 2014) using Fugene HD, following the manufacturer’s instructions. 24 h after transfections, cells were washed three times in a BSS buffer (120 mM NaCl, 5.4 mM KCl, 0.8 mM MgCl2, 6 mM NaHCO3, 5.6 mM D-glucose, 2 mM CaCl2, and 25 mM HEPES [pH 7.3]) before analysis. Fluorescence values were then collected every 2 s, and cells were stimulated with 10 μM histamine in BSS. Fluorescence was recorded for 3 min using the 40x objective of the Nikon Eclipse Ti-E microscope of the Andor Dragonfly spinning disk confocal system coupled with an Andor Ixon camera, exciting with a 488 nm or 568 nm laser for CEPIA-2mt/G-CEPIA1ER or R-GECO, respectively. Changes of fluorescence (∆F) from each fluorescent calcium probe were normalized by basal signals before histamine stimulation (F0).
To analyse store-operated calcium entry (SOCE), cells were first seeded on a Nunc Lab-Tek chambered eight-well cover glass (Ibidi). The cells were washed three times in BSS – Ca2+ and incubated in BSS – Ca2+ for 1 h. The cells were incubated with Fluoforte (5 mM) in BSS – Ca2+ for 15 min at 37°C. Post-incubation, cells were washed three times in BSS – Ca2+. Fluorescence values were then collected every 5 s, ER calcium store depletion was induced through the inhibition of SERCA by thapsigargin (10 mM) at t = 0.5 min. Upon ER calcium store depletion, SOCE was activated by addition of exogenous CaCl2 (2 mM) at t = 5 min. Fluorescence was recorded for 7 min using the 40x objective of the Nikon Eclipse Ti-E microscope of the Andor Dragonfly spinning disk confocal system coupled with an Andor Ixon camera, exciting with a 488 nm laser.
Data Availibility
Dataset consisting of raw files and associated peak lists and results files have been deposited in ProteomeXchange (http://www.proteomexchange.org, accession number PXD046094) and in MassIVE (https://massive.ucsd.edu, accession number MSV000093090). Additional files include the sample description, the peptide/protein evidence, and the complete SAINTexpress output for the dataset, and a “README” file that describes the dataset composition and the experimental procedures associated with the submission.
Supplementary Material
Acknowledgements
We thank Kathleen Daigneault and Isabella Straub for advice and excellent technical assistance. We thank Frank Polleux for the kind gift of the plasmid coding for the artificial ER–mitochondria tether (Hirabayashi et al, 2017). This research was supported in part by a grant from the CIHR (173437) to EA Shoubridge. J Prudent was supported by the Medical Research Council (MRC) (MRC grants MC_UU_00015/7 and MC_UU_00028/5). JL Morris was supported by an MRC-funded graduate student fellowship.
Author Contributions
A Janer: conceptualization, data curation, formal analysis, investigation, methodology, and writing—original draft, review, and editing.
JL Morris: formal analysis, investigation, and writing—original draft, review, and editing.
M Krols: data curation and formal analysis.
H Antonicka: data curation, formal analysis, and writing—original draft, review, and editing.
MJ Aaltonen: data curation and formal analysis.
Z-Y Lin: data curation and formal analysis.
H Anand: data curation and formal analysis.
A-C Gingras: conceptualization, supervision, and writing—review and editing.
J Prudent: conceptualization, formal analysis, and writing—original draft, review, and editing.
EA Shoubridge: conceptualization, supervision, investigation, project administration, and writing—original draft, review, and editing.
Conflict of Interest Statement
The authors declare that they have no conflict of interest.
References
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