Abstract
Mitochondria are increasingly recognized as cellular hubs to orchestrate signaling pathways that regulate metabolism, redox homeostasis, and cell fate decisions. Recent research revealed a role of mitochondria also in innate immune signaling; however, the mechanisms of how mitochondria affect signal transduction are poorly understood. Here, we show that the NF‐κB pathway activated by TNF employs mitochondria as a platform for signal amplification and shuttling of activated NF‐κB to the nucleus. TNF treatment induces the recruitment of HOIP, the catalytic component of the linear ubiquitin chain assembly complex (LUBAC), and its substrate NEMO to the outer mitochondrial membrane, where M1‐ and K63‐linked ubiquitin chains are generated. NF‐κB is locally activated and transported to the nucleus by mitochondria, leading to an increase in mitochondria‐nucleus contact sites in a HOIP‐dependent manner. Notably, TNF‐induced stabilization of the mitochondrial kinase PINK1 furthermore contributes to signal amplification by antagonizing the M1‐ubiquitin‐specific deubiquitinase OTULIN. Overall, our study reveals a role for mitochondria in amplifying TNF‐mediated NF‐κB activation, both serving as a signaling platform, as well as a transport mode for activated NF‐κB to the nuclear.
Keywords: HOIP, NEMO, OTULIN, PINK1, ubiquitin
Subject Categories: Post-translational Modifications & Proteolysis, Signal Transduction
TNF induces remodeling of the outer mitochondrial membrane by assembling an NF‐κB signaling platform that facilitates nuclear translocation of activated NF‐κB.
Introduction
In addition to their bioenergetic and biosynthetic functions, mitochondria have emerged as potent and versatile signaling organelles to adapt metabolism to cellular demands, to communicate mitochondrial fitness to other cellular compartments, and to regulate cell death and viability (Nunnari & Suomalainen, 2012; Weinberg et al, 2015; Youle, 2019; Bock & Tait, 2020; Giacomello et al, 2020; Tiku et al, 2020; Bahat et al, 2021; Cervantes‐Silva et al, 2021). Increasing evidence implicates mitochondria in innate immune signaling, illustrating that mitochondria have been co‐opted by eukaryotic cells to react to cellular damage and to promote efficient immune responses. For example, invading pathogens expose pathogen‐associated molecular patterns (PAMPs), such as viral RNA, which is recognized by cytoplasmic RLRs (retinoic acid‐inducible gene‐I‐like receptors). Binding of viral RNA to RLRs induces a conformational change, allowing their recruitment to the mitochondrial RLR adaptor protein MAVS (mitochondrial antiviral signaling protein). Subsequent multimerization of MAVS at mitochondria results in the activation of the transcription factors IRF (interferon‐regulatory factor) 3, IRF7, and NF‐κB (nuclear factor‐kappaB), which regulate the expression of type 1 interferons and proinflammatory cytokines (Seth et al, 2005; Ablasser & Hur, 2020; Rehwinkel & Gack, 2020; Chowdhury et al, 2022).
NF‐κB is activated in several innate immune paradigms and is well known for its role in pathological conditions, where prolonged or profuse NF‐κB activation in reactive immune or glial cells causes inflammation. However, NF‐κB has important physiological functions in most—if not all—cell types. In the nervous system, NF‐κB maintains neuronal viability and regulates synaptic plasticity (Meffert et al, 2003; O'Riordan et al, 2006; Salles et al, 2015; Neidl et al, 2016; Dresselhaus et al, 2018). Constitutive NF‐κB activation by para‐ or autocrine loops is required for neuronal survival, and stress‐induced transient NF‐κB activation confers protection from various neurotoxic insults (Blondeau et al, 2001; Bhakar et al, 2002). Accordingly, TNF has been identified as a neuroprotective cytokine that prevents neuronal damage under various stress conditions (Cheng et al, 1994; Turrin & Rivest, 2006).
Although TNF can induce apoptotic or necroptotic cell death in certain pathological conditions, it usually protects from cell death. Engagement of TNF with its receptor TNFR1 at the plasma membrane results in the formation of signaling complex I that activates the transcription factor NF‐κB (typically p65/p50 heterodimers) in a tightly regulated manner, involving multiple phosphorylation and ubiquitination events (Hayden & Ghosh, 2014; Brenner et al, 2015; Annibaldi & Meier, 2018; Varfolomeev & Vucic, 2018). A crucial step in the activation process is the ubiquitination of NEMO (NF‐κB essential modulator) by HOIP, the catalytic component of the linear ubiquitin chain assembly complex (LUBAC), and binding of NEMO to linear ubiquitin chains by its UBAN (ubiquitin‐binding domain in ABIN and NEMO) domain (Haas et al, 2009; Rahighi et al, 2009; Tokunaga et al, 2009; Fujita et al, 2014). These events induce a conformational change and oligomerization of NEMO, activating the associated kinases IKKα and IKKβ. IKKα/β phosphorylates the NF‐κB inhibitor IκBα, which is subsequently modified by K48‐linked ubiquitin chains and degraded by the proteasome. NF‐κB heterodimers, liberated from their inhibitory binding to IκBα, are then translocated from the cytoplasm to the nucleus, where they increase the expression of anti‐apoptotic proteins or proinflammatory cytokines in a cell type‐ and context‐specific manner.
We have previously shown that the E3 ubiquitin ligase Parkin depends on this pathway to protect from stress‐induced neuronal cell death (Henn et al, 2007; Muller‐Rischart et al, 2013). Parkin modifies NEMO with K63‐linked ubiquitin chains and facilitates subsequent M1‐linked ubiquitination of NEMO by HOIP, supporting the concept that linear ubiquitin chains are preferentially assembled as heterotypic K63/M1‐linked chains in innate immune signaling pathways (Emmerich et al, 2013, 2016; Fiil et al, 2013; Hrdinka et al, 2016; Cohen & Strickson, 2017). Notably, in the absence of either HOIP or NEMO, Parkin cannot prevent stress‐induced cell death (Muller‐Rischart et al, 2013).
Linear or M1‐linked ubiquitination is characterized by the head‐to‐tail linkage of ubiquitin molecules via the C‐terminal carboxyl group of the donor ubiquitin and the N‐terminal methionine of the acceptor ubiquitin (Kirisako et al, 2006; Dittmar & Winklhofer, 2019; Spit et al, 2019; Oikawa et al, 2020; Fiil & Gyrd‐Hansen, 2021; Fuseya & Iwai, 2021; Jahan et al, 2021; Shibata & Komander, 2022; Tokunaga & Ikeda, 2022). Formation and disassembly of linear ubiquitin chains are highly specific processes. HOIP is the only E3 ubiquitin ligase that generates linear ubiquitin chains, whereas OTULIN is the only deubiquitinase that exclusively hydrolyses linear ubiquitin chains (Keusekotten et al, 2013; Rivkin et al, 2013; Lork et al, 2017; Verboom et al, 2021; Weinelt & van Wijk, 2021). Thus, M1‐linked ubiquitination can be studied with unique specificity, in contrast to other types of ubiquitination. Mass spectrometry data on TNF‐induced signaling networks and the interactive profile of HOIP and OTULIN directed our interest toward mitochondria (Wagner et al, 2016; Kupka et al, 2016a; Stangl et al, 2019). Here we show that TNF induces remodeling of the outer mitochondrial membrane by assembling an NF‐κB signaling platform that facilitates nuclear translocation of activated NF‐κB. HOIP plays a crucial role in this process by generating M1‐linked ubiquitin chains and stabilizing the mitochondrial kinase PINK1, which contributes to NF‐κB signal amplification through the phosphorylation of ubiquitin.
Results
TNF induces recruitment of LUBAC and the assembly of linear ubiquitin chains at mitochondria
To get insight into the subcellular localization of OTULIN and its interactive profile, we performed co‐immunoprecipitation of HA‐tagged OTULIN expressed in HEK293T cells coupled to mass spectrometry. Strict filtering criteria were applied in two independent experiments, including only proteins, which were detected by at least two unique peptides that were not present in the negative controls. By this approach, 59 potential OTULIN‐interacting proteins were identified (Appendix Fig S1A). An analysis of the subcellular localization of OTULIN‐interacting proteins indicated several mitochondrial proteins (Appendix Fig S1B), consistent with interactors screens previously performed with OTULIN and HOIP (Kupka et al, 2016a; Stangl et al, 2019). Moreover, mitochondrial proteins were found in a study on proteome‐wide dynamics of phosphorylation and ubiquitination in TNF‐induced signaling (Wagner et al, 2016). These findings prompted us to explore a possible mitochondrial localization of OTULIN and HOIP. Mitochondria from HEK293T cells were isolated and purified by subcellular fractionation using differential centrifugation followed by isopycnic density gradient centrifugation (Fig EV1A and B). Immunoblotting of purified mitochondrial fractions revealed that a small fraction of both OTULIN and HOIP co‐purified with mitochondria (Fig 1A). We wondered whether OTULIN antagonizes M1‐ubiquitination at mitochondria and therefore silenced OTULIN expression by RNA interference. Immunoblotting of mitochondrial fractions using the M1‐ubiquitin‐specific antibodies 1E3 or 1F11/3F5/Y102L (Matsumoto et al, 2012) revealed a strong M1‐ubiquitin‐positive signal at mitochondria isolated from OTULIN‐silenced cells, indicating that OTULIN regulates mitochondrial M1‐ubiquitination (Fig 1A and B). Based on the fact that TNF activates LUBAC (Haas et al, 2009; Rahighi et al, 2009; Tokunaga et al, 2009) and the identification of mitochondrial proteins in the proteome analysis of TNF signaling (Wagner et al, 2016), we were wondering whether TNF triggers linear ubiquitin chain formation at mitochondria. M1‐linked ubiquitin chains were detected 15 min after TNF treatment at mitochondria isolated from various cell types, such as HEK293T, HeLa, SH‐SY5Y cells, and mouse embryonic fibroblasts (MEFs) (Fig 1A–C). TNF‐induced mitochondrial M1‐ubiquitination was not observed in HOIP CRISPR/Cas9 knockout (KO) cells, confirming HOIP‐dependent linear ubiquitination (Fig 1D). Co‐localization of M1‐linked ubiquitin with mitochondria after TNF treatment was also seen by immunocytochemistry followed by super‐resolution structured illumination microscopy (SR‐SIM) (Fig 1E). Consistent with an increase in mitochondrial M1‐ubiquitination, the abundance of all three LUBAC components, HOIP, HOIL‐1L, and SHARPIN, was increased at mitochondria after TNF treatment (Fig 1F). Immunoblotting of mitochondrial fractions showed that M1‐ubiquitination at mitochondria is a fast and transient response with maximum intensity after 15 min, which is paralleled by an increase in K63‐ubiquitination (Fig 1G). This is in line with the observation that linear ubiquitin chains are preferentially assembled as heterotypic K63/M1‐linked chains (Emmerich et al, 2013, 2016; Fiil et al, 2013; Hrdinka et al, 2016; Cohen & Strickson, 2017).
TNF stabilizes PINK1 at mitochondria
Next, we addressed the functional consequences of TNF‐induced mitochondrial ubiquitination. Ubiquitination of mitochondrial outer membrane proteins has been linked to a mitochondrial quality control pathway, resulting in the clearance of mitochondria by mitophagy (Nguyen et al, 2016; Whitworth & Pallanck, 2017; Harper et al, 2018; Pickles et al, 2018; Montava‐Garriga & Ganley, 2020; Goodall et al, 2022). In this pathway, depolarization of the inner mitochondrial membrane leads to an import arrest and stabilization of the mitochondrial kinase PINK1 at the outer mitochondrial membrane. PINK1 is then activated by autophosphorylation and phosphorylates ubiquitin and the ubiquitin‐like domain of the E3 ubiquitin ligase Parkin at serine 65, thereby activating Parkin (Gan et al, 2022; Kakade et al, 2022; Rasool et al, 2022; Sauve et al, 2022). Parkin‐mediated ubiquitination of outer membrane proteins recruits the autophagic machinery to eliminate damaged mitochondria. When the mitochondrial membrane potential is intact, full‐length PINK1 is imported by the translocases of the outer and inner mitochondrial membranes, the TOM and TIM23 complexes, and then PINK1 is processed to a 60 kDa intermediate species by the mitochondrial processing peptidase (MPP) in the matrix. Subsequently, the presenilin‐associated rhomboid‐like protein (PARL) and presumably other proteases in the inner membrane generate a 52‐kDa mature PINK1 fragment (Fig EV1C and D) (Whitworth et al, 2008; Jin et al, 2010; Deas et al, 2011; Meissner et al, 2011; Shi et al, 2011; Greene et al, 2012). Proteolytically processed PINK1 is retro‐translocated to the mitochondrial outer membrane, where it is ubiquitinated and rapidly degraded by the proteasome (Yamano & Youle, 2013; Liu et al, 2017). Whereas nonimported full‐length PINK1 has been linked to mitophagy induction, little is known about the function of mature PINK1 and the conditions that increase its abundance.
The artificial tethering of unbranched linear ubiquitin chains to the mitochondrial outer membrane was shown to induce mitophagy (Yamano et al, 2020), we therefore tested whether mitochondrial M1‐ubiquitination induced by TNF has an impact on mitophagy. We first compared the relative amounts of PINK1 species in untreated, TNF‐stimulated, and CCCP (carbonyl cyanide 3‐chlorophenylhydrazone)‐treated cells. As expected, dissipation of the proton‐motive force across the mitochondrial inner membrane by CCCP (10 μM, 90 min) stabilized the unprocessed 63 kDa PINK1 species due to an impeded mitochondrial import. Upon 15 min TNF treatment, we observed a small but significant increase in PINK1 abundance (Fig 2A and B). Interestingly, M1‐ubiquitination at mitochondria induced by TNF treatment or OTULIN silencing also increased the processed PINK1 species (Fig 2A). TNF‐induced PINK1 stabilization was accompanied by a slight increase in p‐S65‐ubiquitin and p‐S65‐Parkin signal intensities (Fig 2B).
A kinetic analysis of TMRE (tetramethylrhodamine ethyl ester) fluorescence in TNF‐treated cells indicated a mild transient increase in the membrane potential between 15 and 60 min (Fig EV2A), revealing that PINK1 was not stabilized by dissipation of the mitochondrial membrane potential in TNF‐treated cells. Consistent with this result, TNF‐induced PINK1 stabilization at mitochondria did not induce mitophagy. Quantitative assessment of mitophagy by flow cytometry using the fluorescent reporter mt‐mKeima did not reveal changes in mitophagic activity induced by TNF treatment up to 16 h (Figs 2C and EV2C). Moreover, mitophagy was not affected by OTULIN silencing or overexpression, suggesting that M1‐linked ubiquitin chains do not regulate mitophagy (Fig EV2C–E), in line with proteomic ubiquitin profiling (Ordureau et al, 2014, 2018).
It has been reported previously that the mature 52‐kDa PINK1 species is stabilized by K63‐linked ubiquitination induced by NF‐κB pathway activation (Lim et al, 2015). We therefore wondered whether PINK1 is a target for linear ubiquitination. Co‐immunoprecipitation experiments indicated that PINK1 interacts with HOIP (Fig EV3A–D). To map the domains of HOIP mediating this interaction, we employed transiently transfected cells. V5‐tagged PINK1 co‐purified with full‐length HOIP and the N‐terminal part of HOIP (aa 1–697), but not with the C‐terminal part of HOIP (aa 697–1,072) (Fig EV3A and B). We then tested different HOIP constructs lacking N‐terminal domains to more precisely define the region of HOIP that mediates the interaction with PINK1. PINK1 co‐immunoprecipitated only with the 1–697 aa HOIP construct and to a lesser extent with the 1–475 aa construct, which lacks the UBA domain, suggesting that the UBA domain directly or indirectly contributes to the interaction of HOIP with PINK1 (Fig EV3C and D). Of note, immunoblotting of cellular lysates indicated that PINK1 abundance was increased in the presence of either full‐length HOIP or N‐terminal HOIP (1–697 aa), suggesting that complex formation contributes to PINK1 stabilization (Fig EV3B and D, input). In support of PINK1 interacting with endogenous HOIP, both proteins were detected in the 450–720 kDa fractions (corresponding to the size of LUBAC) upon size‐exclusion chromatography of cellular lysates (Fig EV3E). In the next step, PINK1 ubiquitination was analyzed in cells overexpressing HOIP and HOIL‐1 to increase LUBAC activity. The cells were harvested under denaturing conditions and then PINK1 was affinity‐purified by its V5 tag and subjected to immunoblotting using ubiquitin antibodies. A strong ubiquitin‐positive signal in the higher molecular range occurred upon increased expression of HOIP and HOIL‐1, which was not present in cells overexpressing OTULIN, confirming a linear ubiquitin chain topology (Fig 2D). Compared with wildtype HOIP, only a weak ubiquitin‐positive signal was seen in cells overexpressing catalytically inactive HOIP C885A (Fig 2D), which can be explained by the ability of co‐expressed HOIL‐1L to increase endogenous LUBAC activity. An in vitro ubiquitination assay using catalytically active recombinant HOIP and PINK1 immunoprecipitated from cells also supported the notion that HOIP can ubiquitinate PINK1 (Fig 2E). We then tested for ubiquitination of endogenous PINK1 after TNF treatment. PINK1 was immunoprecipitated from untreated or TNF‐treated cells and analyzed by immunoblotting using PINK1‐, M1‐ubiquitin, and p‐S65‐ubiquitin‐specific antibodies. Increased signal intensities were observed in the high molecular weight range in TNF‐treated cells, which disappeared when the cell lysates were treated with recombinant OTULIN (Fig 2F). In conclusion, TNF signaling induces recruitment of LUBAC to mitochondria, where PINK1 is stabilized by complex formation and ubiquitination.
PINK1 counteracts OTULIN activity at mitochondria by phosphorylating M1‐linked ubiquitin chains
What could be the functional consequence of PINK1 stabilization at the mitochondrial outer membrane? PINK1‐mediated phosphorylation of ubiquitin alters the structure and surface properties of ubiquitin and thereby can affect the assembly and disassembly of polyubiquitin chains (Wauer et al, 2015). It has been shown previously in vitro that M1‐linked tetra‐ubiquitin is less efficiently hydrolyzed by OTULIN in the presence of PINK1 (Wauer et al, 2015). We confirmed these results (Fig EV3F and G) and tested whether PINK1 impairs OTULIN activity also in cells. Proteins modified by linear polyubiquitin chains were affinity‐purified using the recombinant UBAN domain of NEMO (Komander et al, 2009; Rahighi et al, 2009; Hadian et al, 2011; Muller‐Rischart et al, 2013), which shows a 100‐fold higher affinity for M1‐linked than for K63‐linked ubiquitin (Lo et al, 2009; Rahighi et al, 2009), and then analyzed by immunoblotting using M1‐ubiquitin‐specific antibodies. The M1‐ubiquitin‐positive signals in extracts prepared from cells overexpressing HOIP and HOIL‐1L were abolished by co‐expression of wildtype OTULIN (Fig 3A, lanes 1 and 4) but not by the inactive OTULIN variant W96A (Fig 3A, lane 6). Co‐expression of PINK1 increased M1‐ubiquitination induced by HOIP and HOIL‐1L (Fig 3A, lanes 1 and 2) and partially restored M1‐ubiquitination in cells co‐expressing wildtype OTULIN (Fig 3A, lanes 3 and 4). These results suggested that also in cells PINK1 can counteract the efficiency of OTULIN to hydrolyze M1‐linked polyubiquitin chains.
Prompted by these findings, we wondered whether PINK1 increases TNF‐induced M1‐ubiquitination at mitochondria by phosphorylating ubiquitin. Increased expression of wildtype PINK1 but not kinase‐dead (K/D) PINK1 increased p‐S65‐ubiquitin in the mitochondrial fraction after TNF treatment (Fig 3B), whereas in cells silenced for PINK1 expression TNF did not increase p‐S65‐ubiquitin (Fig 3C). In favor of a role of PINK1 in stabilizing M1‐linked ubiquitin chains, the TNF‐induced M1‐ubiquitin‐specific signal was significantly reduced in MEFs from PINK1‐KO mice (Fig 3D).
Mitochondrial M1‐ubiquitination protects from apoptosis
Our data so far revealed that TNF increases M1‐linked ubiquitination at mitochondria and stabilizes PINK1 without inducing mitophagy. Based on the fact that both TNF and PINK1 have anti‐apoptotic functions, we were wondering whether M1‐ubiquitination at mitochondria protects from cell death. TNF induces the increased expression of anti‐apoptotic proteins through the formation of complex I at the TNFR1 and activation of the transcription factor NF‐κB (Hayden & Ghosh, 2014; Brenner et al, 2015; Kupka et al, 2016b). We hypothesized that the fast TNF‐induced increase in mitochondrial ubiquitination protects mitochondria from apoptosis before transcriptional reprogramming by NF‐κB takes effect. To address this possibility experimentally, we exposed cells to a short proapoptotic stimulus with or without TNF pretreatment for 15 min. Apoptotic cell death was assessed by mitochondrial Bax recruitment, cytochrome c release, caspase‐3 activation, and ultrastructural analysis of cristae morphology. Bax was efficiently recruited to mitochondria within 1 h of staurosporine (STS) treatment, as detected by immunoblotting of purified mitochondria (Fig 4A). When STS was applied 15 min after TNF pretreatment, the amount of mitochondrial Bax was significantly reduced (Fig 4A). Likewise, STS‐induced cytochrome c release into the cytoplasm was decreased by the TNF pretreatment (Fig 4B). Electron microscopy revealed that TNF prevents the STS‐induced reduction in cristae abundance per mitochondrial area and cristae length per mitochondria (Fig 4C and D). Moreover, TNF significantly reduced the number of STS‐treated cells with activated caspase‐3 (Fig 4E). This effect was not compromised in the presence of the NF‐κB super‐repressor IκBα (serines 32 and 36 replaced by alanines), which blocks nuclear translocation of the NF‐κB subunit p65 and thus NF‐κB transcriptional activity (Sun et al, 1996; Appendix Fig S2A and B), indicating that the fast protective effect of TNF was not mediated by NF‐κB activation (Fig 4E). Notably, both HOIP and PINK1 were required for the protective effect of TNF pretreatment, since in cells silenced for HOIP or PINK1 expression, TNF was not able to reduce STS‐induced cytochrome c release (Fig 4F and G). We concluded that the TNF‐induced assembly of M1‐linked ubiquitin chains by HOIP and their phosphorylation by PINK1 interferes with the insertion of Bax into the outer mitochondrial membrane, thereby preventing apoptotic cell death. To check for mitochondrial fitness, we also analyzed cellular bioenergetics in response to TNF treatment and observed a transient increase in maximal respiration, spare respiratory capacity, and ATP production (Fig EV4A–C), suggesting that TNF at least transiently enhances the cellular energy metabolism.
A signaling platform for TNF‐induced NF‐κB activation is assembled at mitochondria
Why is mitochondrial fitness and protection fostered in the early phases of TNF signaling? Though the fast TNF‐mediated protection of mitochondria from apoptosis was NF‐κB‐independent, we observed an increased abundance of NEMO, p65, and phosphorylated p65 (p65) at mitochondria after 15 min TNF treatment (Fig 5A). We therefore speculated that mitochondrial M1‐ubiquitination contributes to TNF signal amplification and facilitates transmission of the signal to the nucleus. To confirm our data based on mitochondrial purification and immunoblotting, we performed a proximity ligation assay (PLA). In situ PLA using anti‐TOM20 and anti‐phospho‐S536‐p65 (p‐p65) antibodies revealed the presence of p‐p65 at mitochondria and an increased abundance upon TNF treatment (Fig 5B and C).
Next, we tested whether PINK1 has a role in mitochondrial NF‐κB pathway activation. TNF‐induced nuclear translocation of p65 was significantly decreased in cells silenced for PINK1 expression. This phenotype was rescued by wildtype PINK1 but not by the catalytically inactive PINK1‐K/D mutant (Fig 6A). Moreover, luciferase reporter assays indicated that basal and TNF‐induced NF‐κB‐dependent transcription is reduced in cells silenced for PINK1 expression (Fig EV4D), in line with earlier findings (Sha et al, 2010). NEMO is a highly relevant substrate of HOIP in NF‐κB pathway activation, and we and others previously found that Parkin modifies NEMO with K63‐linked ubiquitin chains (Henn et al, 2007; Sha et al, 2010; Van Humbeeck et al, 2011; Muller‐Rischart et al, 2013). We therefore explored the possibility that PINK1 phosphorylates ubiquitinated NEMO. In cells expressing wildtype PINK1, the p‐S65‐ubiquitin signal was strongly enhanced on NEMO affinity‐purified from cell lysates, whereas no signal was seen when catalytically inactive PINK1‐K/D was expressed (Fig 6B). Supporting the physiological relevance of endogenous PINK1, TNF‐induced M1‐ubiquitination of NEMO was reduced in PINK1‐deficient cells (Fig 6C). Taken together, catalytically active PINK1 promotes NF‐κB activation, most likely by stabilizing M1‐linked ubiquitin chains on LUBAC substrates, such as NEMO, through phosphorylation.
TNF promotes transport of p65 to the nucleus and increases mitochondria‐nucleus contact sites
What could be the advantage of assembling a signaling platform at mitochondria? First, the mitochondrial network provides a large surface area for signal amplification. Second and possibly even more relevant, mitochondria are highly dynamic and mobile organelles that engage in physical and functional interactions with other organelles and the plasma membrane (Scorrano et al, 2019; Giacomello et al, 2020; Harper et al, 2020; Prinz et al, 2020). We therefore wondered whether mitochondria facilitate the transport of activated NF‐κB components to the nucleus. First, we followed up on the motility of mitochondria in SH‐SY5Y cells upon TNF stimulation by life cell imaging and observed a decrease in the distance between peripheral mitochondria and the nucleus within 15 min of TNF treatment (Fig 7A; Movie EV1). Encouraged by this observation, we tested whether mitochondrial motility affects the nuclear translocation of p65 upon TNF stimulation. We silenced the expression of the mitochondrial outer membrane Rho GTPases Miro1 and Miro2, which are components of the adaptor complex that anchors mitochondria to motor proteins (Schwarz, 2013; Misgeld & Schwarz, 2017). A ratiometric analysis revealed a significant decrease in the fraction of nuclear p65 upon TNF stimulation in Miro1/2‐deficient cells (Fig 7B). Accordingly, NF‐κB‐dependent transcription was decreased in cells silenced for Miro1 and Miro 2 expression (Fig EV4E). We then reasoned that mitochondrial transport of p65 to the nucleus should increase the proximity between mitochondria and the nucleus and possibly favor the formation of mitochondria‐nucleus contact sites. To this end, we have generated a new genetically encoded split‐GFP contact site sensor (SPLICS) (Cieri et al, 2018; Vallese et al, 2020; Cali & Brini, 2021), capable to reconstitute fluorescence only when the nucleus and mitochondria are in close proximity (Fig 7C). Correct targeting and self‐complementation ability of the GFP1‐10 and the β11 split‐GFP fragments to the outer nuclear membrane (ONM) were tested (Fig EV5A–C). The ONM‐β11 was further selected to generate the SPLICSNU‐MT reporter along with the outer mitochondrial membrane (OMM)‐targeted GFP1‐10, which has been extensively used in all mitochondrial sensors generated so far (Fig 7D; Cieri et al, 2018; Vallese et al, 2020). Expression of the SPLICSNU‐MT reporter in HeLa cells resulted in the emission of a fluorescent punctate signal within the nuclear/perinuclear region that could be easily quantified with the Fiji (https://imagej.net/software/fiji/) software, and custom macros written for interorganellar contact analysis (Cali & Brini, 2021), with an additional ROI traced around the nucleus of SPLICSNU‐MT‐positive cells to specifically focus only contacts that involve the nuclear envelope (Fig EV5D). To validate the ability of the SPLICSNU‐MT reporter to detect changes in the mitochondria‐nucleus contact sites, we triggered the mitochondrial retrograde response (MRR) in HeLa cells (Amuthan et al, 2001; Eisenberg‐Bord & Schuldiner, 2017; Desai et al, 2020; Walker & Moraes, 2022). A significant increase in the formation of nucleus‐mitochondria contact sites upon MRR activation was observed by employing the SPLICSNU‐MT reporter (Fig EV5E). With this new tool, we assessed whether mitochondrial transport of p65 to the nucleus favors the proximity between mitochondria and the nucleus in TNF‐treated SPLICSNU‐MT‐expressing cells. Indeed, the number of mitochondria‐nucleus contact sites strongly increased upon TNF stimulation (Fig 7E–G). Remarkably, HOIP silencing by siRNA completely abolished the TNF‐induced increase in mitochondria‐nucleus contacts (Fig 7H–J). Thus, different experimental approaches supported the notion that mitochondria are implicated in targeting activated NF‐κB to the nucleus upon TNF stimulation and that this process is dependent on linear ubiquitination.
Discussion
We identified a mitochondrial signaling platform for NF‐κB pathway activation that is shaped by LUBAC‐mediated linear ubiquitination. This mitochondrial platform shares some features with a signaling platform that is assembled at cytosol‐invading bacteria, such as Salmonella species, to restrict bacterial proliferation. Ubiquitination of the bacterial outer membrane component lipopolysaccharide (LPS) by the RNF213 ubiquitin ligase and subsequent binding of LUBAC to pre‐existing ubiquitin results in the assembly of M1‐linked ubiquitin chains and the recruitment of the M1‐ubiquitin‐binding proteins NEMO and Optineurin to the bacterial surface (Noad et al, 2017; van Wijk et al, 2017; Otten et al, 2021). NEMO induces local activation of NF‐κB signaling, whereas Optineurin as a selective autophagy receptor promotes the autophagic clearance of bacteria. Similarly to the bacterial NF‐κB signaling platform, we observed recruitment of LUBAC, formation of OTULIN‐sensitive M1‐linked ubiquitin chains, and binding and activation of NF‐κB signaling components at the outer mitochondrial membrane. In contrast to the bacterial ubiquitin coat, enrichment of linear ubiquitin chains at mitochondria does not induce their autophagic clearance.
The formation of mitochondrial signaling platforms has been implicated in various signaling paradigms. However, many aspects of why cells employ mitochondria as signaling organelles are still unknown. One obvious advantage is that the integration of mitochondria in signaling pathways facilitates context‐dependent adaptive responses to bioenergetic or biosynthetic demands. Another plausible explanation is that several signaling pathways affect cell fate decisions, which are regulated by mitochondria. Our study revealed two other advantages of mitochondrial signaling platforms. Mitochondria can contribute to signal amplification by virtue of their large surface and the presence of signaling components that stabilize “signals” by forming protein complexes (signalosomes) and/or by posttranslational modifications of signaling components. In TNF signaling, the mitochondrial kinase PINK1 performs such a function. It increases the stability of M1‐linked ubiquitin chains assembled by HOIP by antagonizing the M1‐ubiquitin‐specific deubiquitinase OTULIN, thus enhancing downstream signaling. Moreover, mitochondria are highly dynamic and mobile organelles, allowing them to communicate and interact with various cellular components and organelles. Here we present evidence that mitochondria can act as vehicles to shuttle activated transcription factors to the nucleus. This mode of transport may be particularly relevant to polarized cells, such as neurons. In support of this notion, NF‐κB signaling components are present at synapses and concentrated at postsynaptic densities together with mitochondria, where neuronal activity‐dependent retrograde transport of the NF‐κB subunit p65 serves as a synapse‐to‐nucleus signal transducer (Mikenberg et al, 2007; Shrum et al, 2009). In our study, nuclear translocation of the NF‐κB subunit p65 upon TNF stimulation was decreased in cells silenced for Miro1 and Miro2 expression. Even more striking, we found that TNF increases mitochondria‐nucleus contact sites, which presumably facilitate the uptake of p65 into the nuclear compartment. In support of this notion, the expression level of a mitochondria‐nucleus tether component identified in breast cancer cells, the mitochondrial translocator protein TSPO, correlated with the abundance of nuclear NF‐κB (Desai et al, 2020). TNF‐induced formation of mitochondria‐nucleus contact sites was dependent on HOIP, confirming a role of M1‐linked ubiquitination. In a recent study performed in Saccharomyces cerevisiae, TOM70 has been implicated in the formation of tethers between mitochondria and the nucleus (Eisenberg‐Bord et al, 2021). TOM70 has also been identified as a target for ubiquitination within the TNF signaling network (Wagner et al, 2016) and was detected as an OTULIN‐interacting protein in our mass spectrometry‐based screen. In addition, TOM70 is required for the activation of IRF3 in MAVS signaling (Liu et al, 2010; Thorne et al, 2022). Hence, it will be interesting to explore the possible role of TOM70 in the NF‐κB pathway.
TNF signaling usually mounts an anti‐apoptotic response via the TNFR1/complex I/NF‐κB axis, implicating transcriptional regulation of anti‐ and proapoptotic gene expression (Varfolomeev & Vucic, 2018). We previously identified the mitochondrial GTPase OPA1 as an NF‐κB target gene, which contributes to anti‐apoptotic reprogramming by maintaining cristae integrity (Muller‐Rischart et al, 2013). Here we identified a fast, transcription‐independent anti‐apoptotic TNF response that protects mitochondria by remodeling the outer mitochondrial membrane. This remodeling involves the assembly of M1‐ and K63‐linked ubiquitin chains and the recruitment of ubiquitin‐binding proteins and signaling components to the outer mitochondrial membrane, which obviously impedes Bax insertion into the outer membrane under proapoptotic conditions. Conceptually, this early TNF response ensures mitochondrial integrity and fitness to fulfill their role in signal amplification and transport of activated NF‐κB to the nucleus. Along this line, maximal respiration and spare respiratory capacity were increased by TNF treatment.
Finally, our study unveiled a mitophagy‐independent function of PINK1 in mitochondrial signaling. Previous studies already provided evidence for a role of PINK1 in NF‐κB signaling. PINK1 was shown to increase Parkin‐mediated K63‐linked ubiquitination of NEMO in vitro and in cellular models and to increase TNF‐ and IL1‐induced transcriptional activity of NF‐κB (Sha et al, 2010; Akundi et al, 2011; Lee et al, 2012; Lee & Chung, 2012). Moreover, cytosolic PINK1 is stabilized by K63‐linked ubiquitination in response to NF‐κB pathway activation (Lim et al, 2015). In contrast to mitophagy‐inducing conditions, PINK1 is stabilized in TNF signaling without dissipation of the mitochondrial membrane potential. Accordingly, proteolytically processed, mature PINK1 is stabilized in addition to full‐length PINK1 destined for import through the TOM/TIM23 complexes. Albeit the accumulation of the mature PINK1 species after 15 min, TNF treatment is less striking than that of unprocessed PINK1 after 90 min CCCP treatment, several lines of evidence point toward a physiological role of PINK1 in NF‐κB signaling. First, PINK1 phosphorylates M1‐linked ubiquitin chains and thereby decreases the efficiency of OTULIN to hydrolyze linear ubiquitin chains. This explains why TNF‐induced M1‐ubiquitination is decreased in PINK1‐deficient cells. Second, the fast anti‐apoptotic TNF response depends on both HOIP and PINK1 expression. PINK1 is stabilized by complex formation with HOIP and HOIP‐dependent linear ubiquitination and in turn augments M1‐ubiquitination by antagonizing the disassembly of M1‐linked ubiquitin chains. This scenario is reminiscent of the feed‐forward activation loop in PINK1/Parkin‐dependent mitophagy and completes the picture of a mitophagy‐independent function of PINK1 and Parkin under physiological conditions that integrate their roles in innate immune signaling and stress protection.
Materials and Methods
Reagents and Tools table
Reagent or resource | Source | Identifier |
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Antibodies | ||
Rabbit monoclonal anti‐cleaved caspase‐3 | Cell Siganaling Technology | Cat#9664S |
Mouse monoclonal anti‐GAPDH | ThermoFisher Scientific | Cat#AM4300, RRID: AB_2536381 |
Rabbit polyclonal anti‐HA | Sigma‐Aldrich | Cat#H6908, RRID: AB_260070 |
Mouse monoclonal anti‐HA | Covance Research Products Inc | Cat#NMS‐101R, RIDD: N/A |
Rabbit monoclonal anti‐HA | Cell Signaling Technology | Cat#3724, RRID: AB_1549585 |
Rabbit polyclonal anti‐HOIP (RNF31) | Bethyl | Cat#A303‐560A, RRID: AB_10949139 |
Rabbit monoclonal anti‐M1‐ubiquitin (clone 1E3) | Millipore | Cat#MABS199, RRID: AB_2576212 |
Mouse monoclonal anti‐NEMO | Santa Cruz Biotechnology | Cat#sc‐8032, RRID: AB_627786 |
Rabbit polyclonal anti‐OTULIN | Cell Signaling Technology | Cat#14127, RRID: AB_2576213 |
Rabbit polyclonal anti‐IKKβ | Cell Signaling Technology | Cat#2370, RRID: AB_2122154 |
Human polyclonal anti‐M1‐ubiquitin (clone 1F11/3F5/Y102L) | Genentech | 1F11/3F5/Y102L |
Mouse monoclonal anti‐TNFR1 | Santa Cruz | Cat#sc‐8436, RRID:AB_628377 |
Mouse monoclonal anti‐TIM23 | BD Science | Cat#611222, RRID:AB_398755 |
Rabbit monoclonal anti‐K63‐ubiquitin | Millipore | Cat#05‐1308, RRID:AB_1587580 |
Rabbit monoclonal anti‐K48‐ubiquitin | Cell Signaling Technology | Cat#8081, RRID:AB_10859893 |
Rabbit polyclonal anti‐HOIL‐1L (RBCK) | Invitrogen | Cat#PA5‐11949, RRID: AB_2175271 |
Rabbit monoclonal anti‐SHARPIN | Cell signaling Technology | Cat#12541, RRID: AB_2797949 |
Mouse monoclonal anti‐Actin | Sigma‐Aldrich | Cat#A5316, RRID:AB_476743 |
Goat polyclonal anti‐HSP60 | Santa Cruz | Cat#sc‐1052, RRID:AB_631683 |
Rabbit polyclonal anti‐VDAC | Cell Signaling Technology | Cat#4866, RRID:AB_2272627 |
Rabbit monoclonal anti‐PINK1 | Cell Signaling Technology | Cat#6946, RRID:AB_11179069 |
Mouse polyclonal anti‐PINK1 | Santa Cruz | Cat#sc‐517353 RRID: N/A |
Mouse monoclonal anti‐V5 | Invitrogen | Cat# R960‐25, RRID:AB_2556564 |
Mouse monoclonal anti‐ubiquitin | Santa Cruz | Cat# sc‐8017, RRID:AB_628423 |
Rabbit anti‐p‐S65‐ubiquitin | Fiesel et al (2015) | N/A |
Rabbit polyclonal anti‐Bax | Cell Signaling Technology | Cat#2772, RRID:AB_10695870 |
Rabbit monoclonal anti‐cytochrome c | Cell Signaling Technology | Cat# 4280, RRID:AB_10695410 |
Rabbit monoclonal anti‐NF‐κB p65 | Cell Signaling Technology | Cat# 8242, RRID:AB_10859369 |
Rabbit monoclonal anti‐phospho‐NF‐κB p65 (S536) | Cell Signaling Technology | Cat# 3033, RRID:AB_331284 |
Rabbit polyclonal anti‐IKBKG (NEMO) | Sigma‐Aldrich | Cat# HPA000426, RRID:AB_1851572 |
Rabbit polyclonal anti‐Optineurin (OPTN) | Sigma‐Aldrich | Cat# HPA003279, RRID:AB_1079527 |
Rabbit polyclonal anti‐Miro2 | Proteintech | Cat# 11237‐1‐AP RRID: AB_2179539 |
Rabbit monoclonal anti‐phospho TBK1/NAK (Ser172) | Cell Signaling Technology | Cat# 5483, RRID: AB_2798527 |
Mouse monoclonal anti‐TOM20 | Santa Cruz | Cat# sc‐17764, RRID: AB_628381 |
Rabbit polyclonal anti‐TOM70 | Proteintech | Cat# 14528‐1‐AP, RRID: AB_2303727 |
Rabbit monoclonal anti‐phospho‐NF‐κB p65 (Ser536) | ThermoFisher | Cat# MA5‐15160 RRID: AB_10983078 |
Rabbit anti‐p‐S65‐Parkin | Kane et al (2014) | |
Strep‐Tactin® HRP conjugate | IBA Lifesciences | Cat# 2‐1502‐001 |
Biological samples | ||
Human peripheral blood mononuclear cells | DRK‐Blutspendedienst Baden‐Württemberg—Hessen, Institut für Transfusionsmedizin und Immunhämatologie, Frankfurt, Germany | https://www.blutspende.de |
Human serum | DRK‐Blutspendedienst Baden‐Württemberg—Hessen | https://www.blutspende.de |
Chemical, peptides, and recombinant proteins | ||
Human TNF | Peprotech | Cat# 300‐01A |
Murine TNF | Peprotech | Cat# 315‐01A |
Staurosporine | Enzo life science | Cat# ALX 380‐014M001 |
Carbonyl cyanide 3‐chlorophenylhydrazone | Sigma‐Aldrich | Cat# C2759 |
Antimycin A | Sigma‐Aldrich | Cat# A8674 |
Oligomycin | Sigma‐Aldrich | Cat# O4876 |
Tetra‐ubiquitin (linear) | Enzo Life Sciences | Cat# BML‐UW0785‐0100 |
Recombinant human ubiquitin | Biotechne | Cat# U‐100H‐10M |
Cell lines | ||
SH‐SY5Y | Leibniz‐Institut DSMZ‐Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH https://www.dsmz.de/home.html | DSMZ no.: ACC 209 |
HEK293T | ATCC https://www.lgcstandards‐atcc.org/ | ATCC® CRL‐1573™ |
HAP1 WT and HAP1 HOIP (RNF31) KO | Horizon | https://www.horizondiscovery.com |
HeLa | Leibniz‐Institut DSMZ‐Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH https://www.dsmz.de/home.html | DSMZ no.: ACC 57 |
Oligonucleotides | ||
OTULIN siRNA human: GGAAGAAUGAGGACCUGGUUGAUAA GCGGAGGAAUAUAGCCUCUAUGAAG UCUCCAAGUACAACACGGAAGAAUU |
Invitrogen |
HSS131920 HSS131921 HSS131922 |
HOIP siRNA human: GGUACUGGCGUGGUGUCAAGUUUAA, GAGAUGUGCUGCGAUUAUAUGGCUA, CACCACCCUCGAGACUGCCUCUUCU |
Invitrogen |
HSS123836 HSS123837 HSS182838 |
PINK1 siRNA human: GGACGCUGUUCCUCGUUAUGAAGAA GGAGUAUCUGAUAGGGCAGUCCAUU GAGUAGCCGCAAAUGUGCUUCAUCU |
Invitrogen |
HSS127945 HSS127946 HSS185707 |
RHOT1 siRNA human | GE Dharmacon | Cat# L‐010365‐01‐0005, smartpool |
RHOT2 siRNA human | GE Dharmacon | Cat# L‐008340‐01‐0005, smartpool |
PINK1‐V5_K219A forward: 5′‐ CCCTTGGCCATCGCGATGATGTGGAACATCTCG‐3’ |
This paper | N/A |
PINK1‐V5_K219A reverse: 5′‐ CGDGATGTTCCACATCATCGCGATGGCCAAGGG‐3’ |
This paper | N/A |
PINK1‐V5 D362A forward: 5′‐ GGCATCGCGCACAGAGCCCTGAAATCCGAC‐3’ |
This paper | N/A |
PINK1‐V5 D362A reverse: 5′‐ GTCGGATTTCAGGGCTCTGTGCGCGATGCC‐3’ |
This paper | N/A |
PINK1‐V5 D384A forward: 5′‐ CTGGTGATCGCAGCTTTTGGCTGCTGCTG‐3’ |
This paper | N/A |
PINK1‐V5 D384A reverse: 5′‐ CAGGCAGCAGCCAAAAGCTGCGATCACCG‐3′ |
This paper | N/A |
actin_forward: 5′‐ CCTGCCACCCAGCACAAT‐3’ |
This paper | N/A |
actin_reverse: 5′‐ GGGCCGGACTCGTCATAC‐3’ |
This paper | N/A |
PINK1 human forward: 5′‐ GTGGAACATCTCGGCAGGT‐3’ |
This paper | N/A |
PINK1 human reverse: 5′‐ TTGCTTGGGACCTCTCTTGG‐3’ |
This paper | N/A |
Itprip HindIII‐FF: 5’‐TTTAGTAAGCTTATGGCCATGGGGCTCTTCCGC‐3‘ |
This paper | N/A |
RV Itprip XbaI Rev: 5’‐AGTGCTTCTAGAGCTTTTTGGGGTAGGCTGGTC‐3 |
This paper | N/A |
Recombinant DNA | ||
pET47b HOIP‐RBR‐LDD (C‐terminal HOIP) | Stieglitz et al (2012) | N/A |
pGEXP 6P1 tcPINK1 WT (a.a. 121–570) | Rasool et al (2018) | N/A |
pET28a LIC UBE2L3 | Stieglitz et al (2012) | N/A |
pcDNA6A PINK1‐V5 | Exner et al (2007) | N/A |
pcDNA6A PINK1‐V5 kinase dead (K219A, D362A, D384A) | This paper | N/A |
pcDNA6A PINK1 Δ77 | This paper | N/A |
pcDNA3.1 HA‐HOIP | Muller‐Rischart et al (2013) | N/A |
pcDNA3.1 HA‐ (697–1,072) HOIP | Meschede et al (2020) | N/A |
pcDNA3.1 HA‐ (1–697) HOIP | Meschede et al (2020) | N/A |
pcDNA3.1 HA‐ (1–475) HOIP | Meschede et al (2020) | N/A |
pcDNA3.1 HA‐ (1–408) HOIP | Meschede et al (2020) | N/A |
pcDNA3.1 HA‐ (1–349) HOIP | Meschede et al (2020) | N/A |
pcDNA3.1 HA‐ (1–298) HOIP | Meschede et al (2020) | N/A |
pcDNA3.1 OTULIN WT | Stangl et al (2019) | N/A |
pcDNA3.1 OTULIN W96A | Stangl et al (2019) | N/A |
NF‐κB luciferase | Krappmann et al (2001) | N/A |
pcDNA3.1 HA‐NEMO | This paper | N/A |
pASK IBA 3+ Strep‐OTULIN | This paper | N/A |
pET28b His‐mouseUBE1 | Addgene | #32534 |
OMM‐GFP1‐10, GFP1‐10, RFP‐b11 | Cieri et al (2018), Vallese et al (2020) | N/A |
pcDNA3 ONM‐β11 | This paper | N/A |
Critical commercial assays | ||
Duolink® In Situ PLA® Probe Anti‐Rabbit PLUS | Sigma‐Aldrich | #DUO92002 |
Duolink® In Situ PLA® Probe Anti‐Mouse MINUS | Sigma‐Aldrich | #DUO92004 |
Duolink® In Situ Detection Reagents Green | Sigma‐Aldrich | #DUO92014 |
Duolink® In Situ Mounting Medium with DAPI | Sigma‐Aldrich | #DUO82040 |
Seahorse XF Cell Mito Stress Kit | Agilent | #103015‐100 |
Seahorse XF Real‐Time ATP Rate Assay Kit | Agilent | #1035292‐100 |
Methods and Protocols
DNA constructs
The wildtype PINK1‐V5 construct was described previously (Exner et al, 2007). It was generated by cloning the human PINK1 cDNA into the pcDNA6 vector via NheI and XhoI. For cloning of the kinase dead PINK1‐V5 mutant (K219A, D362A, D384A), the construct was modified by point mutations by using the indicated primers. For cloning of the PINK1‐Δ77‐V5 mutant, the PINK1 sequence 78–581 was cloned into pcDNA6 vector. Wildtype human HOIP, HOIL‐1L, and SHARPIN were described previously (Muller‐Rischart et al, 2013). HA‐HOIP 1–697 was generated using the indicated primers and then incorporated into pcDNA 3.1‐N‐HA via EcoRI and XbaI. HA‐HOIP ΔNZF1, HA‐HOIP ΔNZF2, HA‐HOIP ΔNZF1 + 2, HA‐HOIP ΔUBA, and HA‐HOIP ΔPUB were generated by overlap extension PCR (van Well et al, 2019; Meschede et al, 2020). The amplified fragments were generated using the primers indicated in the Materials section. The ONM‐β11 construct has been amplified by PCR from the template pLV‐EF1a‐Itprip‐V5 (Addgene plasmid #120241; http://n2t.net/addgene:120241; RRID:Addgene_120241) by using the following primers: Itprip HindIII‐FF and RV Itprip XbaI Rev and cloned in pcDNA3 vector containing the short‐β11 strand. The OMM‐GFP1‐10 construct, the GFP1‐10 construct, and the RFP‐β11 construct have been described previously (Cieri et al, 2018, Vallese et al, 2020).
Cell culture
HEK293T, HeLa cells, mouse embryonic fibroblasts (MEFs)
Cells were cultured in Dulbecco's modified Eagle's medium (DMEM) supplemented with 10% (v/v) fetal bovine serum (FBS) and 100 IU/ml penicillin and 100 μg/ml streptomycin sulfate. PINK1‐KO MEFs have been described previously (Muller‐Rischart et al, 2013).
SH‐SY5Y cells
Cells were cultured in Dulbecco's modified Eagle's medium F‐12 (DMEM/F12) supplemented with 15% (v/v) fetal bovine serum (FBS), 100 IU/ml penicillin, 100 μg/ml streptomycin sulfate and 1× MEM nonessential amino acids solution (Gibco™).
HAP1 WT and HAP1 HOIP (RNF31) KO
Cells were cultured in Iscove's Modified Dulbecco's Medium (IMDM) supplemented with 10% (v/v) FBS, 100 IU/ml penicillin, 100 μg/ml streptomycin sulfate, and 8 mM L‐glutamine.
Human primary macrophages
Human peripheral blood mononuclear cells (PBMC) were isolated from commercially available buffy coats from anonymous donors (DRK‐Blutspendedienst Baden‐Württemberg—Hessen, Institut für Transfusionsmedizin und Immunhämatologie, Frankfurt, Germany) using Pancoll (PAN Biotech, Aidenbach, Germany) density centrifugation. Monocytes were separated from PBMC by adherence to plastic after 1 h incubation in a serum‐free RPMI1640 medium. To differentiate into macrophages, monocytes were cultured in RPMI1640 medium (ThermoFisher Scientific, Waltham, MA, USA) supplemented with 100 U/ml penicillin, 100 μg/ml streptomycin, and 3% human serum (DRK‐Blutspendedienst Baden‐Württemberg—Hessen) for 7 days followed by culture in RPMI 1640 medium containing 10% fetal calf serum.
Cultured cells were tested for mycoplasma contamination regularly every 3–4 months.
Transfection and siRNA knockdown
Unless described otherwise, transfections were performed using the following procedures: For SH‐SY5Y and HeLa cells, Lipofectamine and Plus Reagent (Invitrogen) was used according to the manufacturer's instructions. For RNA interference, cells were transfected with stealth siRNA oligos (Invitrogen) using Lipofectamine RNAiMAX (Invitrogen) or Lipofectamine 2000 (Invitrogen) for co‐transfection of siRNA oligos and DNA plasmids. HEK293T cells were transfected using PEI (polyethylenimine). DNA and PEI were mixed in a 1:2 ratio (μg:μl) in Opti‐MEM and incubated for 15 min at room temperature. The DNA‐PEI mixture was then added to the cells.
SPLICSNU‐MT transfection
Transient transfection was performed using the calcium phosphate method. 30,000 HeLa cells/well were seeded on a 24‐well plate on coverslips in the evening. The morning after, a transfection mixture was prepared as follows (quantities reported per well): 50 μl HEPES buffered saline 2x (Merck), 5 μl 2.5 M CaCl2, 1 + 1 μg SPLICSNU‐MT plasmids, and up to 100 μl sterile H2O. The mixture was added to the wells, each containing 500 μl of growth medium. After 8 h, the mixture‐containing medium was removed and replaced with a fresh medium. 24 h after a medium change, the cells were treated as described below and fixed.
SPLICSNU‐MT and siRNA co‐transfection
Co‐transfection of SPLICSNU‐MT plasmids and siRNAs for HOIP silencing was performed using Lipofectamine 3000 (Thermo Fisher). 400,000 HeLa cells/well were seeded on a 6‐well plate in the evening. The morning after, the medium was replaced with 750 μl/well Opti‐MEM (Thermo Fisher), and a transfection mixture with the following composition per well was prepared and added to the wells: 250 μl Opti‐MEM, 0.5 + 0.5 μg SPLICSNU‐MT plasmids, 60 μM each (180 μM in total) stealth siRNA oligos (Invitrogen), and 5 μl Lipofectamine 3,000. 32 h after the addition of the transfection mixture, the cells were detached using trypsin and re‐seeded on a 24‐well plate on coverslips (30,000 cells/well). 16 h after the re‐seeding, the cells were treated as described below and fixed.
Immunoblotting
Proteins were size‐fractionated by SDS–PAGE and transferred to nitrocellulose or polyvinylidene difluoride membranes by electroblotting. The nitrocellulose membranes were blocked with 5% nonfat dry milk or 5% BSA in TBST (TBS containing 0.1% Tween 20) for 60 min at room temperature and subsequently incubated with the primary antibody diluted in blocking buffer for 16 h at 4°C. After extensive washing with TBST, the membranes were incubated with horseradish peroxidase‐conjugated secondary antibody for 60 min at room temperature. Following washing with TBST, the antigen was detected with the enhanced chemiluminescence (ECL) detection system (Promega) as specified by the manufacturer. In addition, immunoblots with fluorescently labeled secondary antibodies were imaged by an Azure Sapphire Biomolecular Imager (Azure Biosystems, USA). For quantification of Western blots, Image Studio lite (version 3.1) and Fiji were used for X‐ray films and AzureSpot (version 2.0) was used for the Sapphire Biomolecular Imager (Azure Biosystems, USA).
Mitochondrial bioenergetics
Metabolism of living cells was measured in real‐time using Seahorse XF 96 Analyzer. The Seahorse Cell Mito Stress Test was employed to measure basal mitochondrial respiration, maximal mitochondrial respiration, and spare respiratory capacity. The Seahorse Real‐Time ATP Rate Assay was used to measure mitochondrial and glycolytic ATP production rates in living cells. A Seahorse 96‐well cell culture microplate was coated with poly‐L‐lysine for 10 min before seeding HeLa cells as a density of 1 × 104. The outer rim of the plates was used for background correction, containing only medium without cells. HeLa cells were incubated for 48 h at 37°C, 5% CO2 in cell culture media before the assay was started. Sensor cartridge was hydrated 1 day prior to sample analysis by sterile H2O at 37°C in a CO2‐free incubator. One to two hours before starting the analysis, water was replaced by 200 μl of prewarmed Seahorse XF Calibrant per well. All assay compounds (oligomycin, FCCP, rotenone, and antimycin A) were solubilized in DMSO to a stock concentration of 5 mM and stored at −20°C. On the day of the assay, compounds were prepared for loading in XF sensor cartridge. Concentrations were chosen according to the Seahorse assay performed. Stock solution of compounds was mixed with an assay medium to generate 10× port concentrations. Compounds were loaded into ports in XF sensor cartridge. XF sensor cartridge plate was placed into the Seahorse XF 96 analyzer and calibration was performed. Afterward, the calibration plate was replaced by the XF cell culture microplate and measurement was started. Prewarmed Seahorse DMEM assay media (pH 7.4) was supplied with 10 mM glucose, 2 mM L‐glutamine, and 1 mM pyruvate. Cells were washed once with Seahorse assay media before 180 μl of Seahorse assay media was added to each well. Cells were incubated at 37°C in a non‐CO2 incubator for 45–60 min prior to the assay. For the XF Real‐Time ATP Rate Assay performed with HeLa cells, Seahorse DMEM assay media was exchanged again before starting the assay. The analysis of Seahorse Assays was performed by Wave Software. Data values were exported to Excel and further analyzed as described in User Manuals. For the Seahorse Real‐Time ATP Rate Assay, the Seahorse Report Generator in Excel was used. Statistical Analysis was performed using GraphPad PRISM (GraphPad Software, San Diego California, USA).
Expression and purification of recombinant proteins
Bacterial expression and purification of GST‐tagged proteins (C‐terminal HOIP, M1‐linked tetra‐ubiquitin, tcPINK1), Strep‐tagged proteins (OTULIN and UBAN domain), and His‐tagged proteins (mouse UBE1 and UBE2L3) were performed by standardized methods (Stieglitz et al, 2012; Rasool et al, 2018). The proteins were expressed in E. coli BL21 (DE3)‐pLys to an OD 600 of 0.6–0.8 before induction with 0.1 mM isopropyl‐β‐d‐thiogalactopyranoside and a change in temperature to 18°C overnight. In the case of C‐terminal HOIP, the medium was supplemented with 150 μM ZnCl2. Cells were harvested and resuspended in 20 mM Tris–Cl pH 7.5, 150 mM NaCl, 10% glycerol, and 1 mM DTT and lysed by a French press. After centrifugation for 40 min at 38,000 g, tagged proteins were affinity‐purified with a HisTrap HP nickel column (GE Healthcare) or glutathione Sepharose 4B resin (GE Healthcare) or StrepTrap XT (Cytiva). For further purification, exclusion chromatography (HiLoad 16/600 Superdex 75 pg, Cytiva) or anionic exchange (Hi‐Trap Capto Q, Cytiva) was performed. In all purification steps, the eluats were collected, and SDS–PAGE was performed to determine the protein purity. The protein concentration was determined using the absorbance at 280 nm and the extinction coefficient of each construct by Nanodrop (Thermo Fisher). Recombinant ubiquitin was purchased from Sigma‐Aldrich (79586‐22‐4).
Quantitative RT–PCR
Total cellular RNA was isolated with the RNeasy Mini Kit (Qiagen) according to the manufacturer's instructions. 1,000 ng RNA was reverse‐transcribed into cDNA using the iScript™ cDNA Synthesis Kit (Bio‐RAD, CA, USA). cDNA was diluted 1:5 in PCR‐grade dH2O and 1.5 μl of the cDNA‐mix was used per 20 μl real‐time PCR reaction with 0.25 μM of each primer and 2× FastStart Essential DNA Green Master Mix (Roche). For each target and reference gene, samples were run in triplicates on a Light Cycler 96 (Roche). On each plate, relevant negative controls were run. Melt curves were studied for all assays, with the Tm checked to be within known specifications for each assay. Standard curves were run for each primer pair. Relative quantification of PINK1 mRNA was performed using the method.
Immunocytochemistry
SY‐SY5Y, HAP1, MEFs, and neuronal cells were cultivated on glass coverslips (Laboratory Glassware Marienfeld). 24–72 h after transfection, cells were washed with PBS pH 7.4, fixed for 15 min with 4% paraformaldehyde in PBS pH 7.4, and permeabilized with 0.2% (v/v) Triton X‐100 in PBS for 10 min or with 0.5% saponin, 1% BSA in PBS for 45 min at room temperature. After blocking with 1% BSA or 5% goat/donkey serum, the cells were stained with primary antibodies at a dilution of 1:100 to 1:1,000 in PBS or 0.5% saponin, 1% BSA in PBS at 4°C overnight, washed with PBS and incubated with fluorescent dye‐conjugated secondary antibodies AlexaFluor488, 555 or 647 (Thermo Scientific), at a dilution of 1:1,000 for 1 h at room temperature. Cells were washed with PBS pH 7.4 three times and subsequently incubated with DAPI (1 μg/ml) in H2O. Following a final wash in H2O, cells were mounted in Fluoromount G (Thermo Fisher Scientific).
Proximity ligation assay
In situ proximity ligation assays were performed using the Duolink® PLA (Sigma‐Aldrich). The protocol was adapted from the manufacturer's instruction. Before fixation, cells were stained with MitoTracker™ Red CMXRos Dye (1:10,000) for 30 min at 37°C. After fixation and permeabilization according to the immunocytochemistry protocol, cells were incubated with blocking solution provided in the Duolink® kit for 1 h at 37°C followed by incubation with primary antibodies diluted in the Duolink® antibody diluent overnight at 4°C. After washing the cells three times for 5 min in wash buffer A, the cells were incubated with the PLA probes anti‐mouse Minus and anti‐rabbit Plus, diluted 1:5 in the Duolink® antibody diluent in a preheated humidity chamber for 1 h at 37°C. After washing the cells three times for 5 min in wash buffer A, ligation and amplification were performed with the Duolink® in situ detection reagents green following the manufacturer's protocol. After the final washing steps in 0.01× wash buffer B, the coverslips were mounted with the Duolink® mounting media. For negative controls, only one primary antibody was used for incubation. For positive controls, mouse anti‐TOM20 and rabbit anti‐TOM70 antibodies were incubated in parallel.
Mitochondrial and nuclear staining in SPLICSNU‐MT transfected cells
Cells were fixed with 3.75% paraformaldehyde in PBS for 20 min, permeabilized with 0.3% Triton X‐100 for 10 min, blocked with 1% bovine gelatin in PBS for 10 min three times, and then washed with PBS for 5 min three times. Mitochondria were stained using a 1:100‐diluted rabbit anti‐TOM20 primary antibody (Santa Cruz). Cells were incubated with the antibody in a wet chamber for 2 h at room temperature, blocked three times with gelatin in PBS for 10 min, and washed three times with PBS for 5 min. Cells were then incubated with a 1:100‐diluted AlexaFluor 594‐conjugated anti‐rabbit secondary antibody (ThermoFisher) in a wet chamber for 45 min at room temperature, rinsed with gelatin in PBS for three times, then nuclei were stained by incubating the cells with 1 μg/ml Hoechst 33342 in PBS for 10 min. Finally, the cells were washed three times with PBS for 5 min and mounted on glass slides before being analyzed by a Zeiss sp5 confocal microscope.
Assessment of the mitochondrial membrane potential
For ΔΨm determination, HeLa cells were stained with 7 nM tetramethylrhodamine ethyl ester perchlorate (TMRE). For ratiometric imaging, dual staining was performed with MitoTracker Green FM (MTG), used at a concentration of 100 nM. MTG is a ΔΨm independent dye. TMRE is rapidly equilibrated and nontoxic for respiration in those low concentrations. Cells grown on glass coverslips were stained in fresh medium for 30 min at 37°C with 100 nM MitoTracker® Green FM, washed once with PBS and once with medium, and then imaged in fresh media containing 7 nM TMRE and 10 μM verapamil (after another 30 min of incubation). MTG emission was recorded between 500 and 510 nm. TMRE was added 30 min before the measurements and kept in a medium throughout the experiments. During imaging, no MTG was present in the medium. TMRE was obtained from Biomol GmbH and MTG from ThermoFisher Scientific. Determination of Δψ was performed by simultaneous TMRE and MTG measurements (Z‐stacks, 0.25 nm steps, seven slices) to enable normalization according to Wikstrom et al (2007) with a cLSM (Leica SP8) equipped with a tunable white light laser (470–670 nm), a 63× water objective (N.A. 1.2) and two highly sensitive hybrid GAsP (HyD) detectors. Two technical replicates were conducted. For evaluation, an Otso mask was used to obtain the mitochondria skeleton only. Mean gray values were determined for each cell, and the fluorescence emission ratio (TMRE/MTG) was calculated. Box‐and‐whisker plot from mean gray value data points (each data point represents the mean of one cell = one mitochondrial network). Error bars denote 5th to 95th percentile values, boxes represent 25th to 75th percentiles. Vertical lines in boxes represent the median values, whereas square symbols in boxes denote the respective mean values. Minimum and maximum values are denoted by x. Significance levels were determined by a one‐way ANOVA: *P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001.
Live‐cell imaging of mitochondrial movement
SH‐SY5Y were plated on a 35 mm Ibidi Glass Bottom dish at a concentration of 2 × 105 cells per dish. 48 h after seeding, cells were incubated with 1× NucSpot® Live 488 (Biotium Inc., USA) and 1× MitoView® Fix 640 (Biotium Inc., USA) for 30 min at 37°C prior to imaging. TNF was added immediately before starting the image acquisition. Imaging was carried out using an Elyra 7 Lattice‐SIM Super‐Resolution microscope (Zeiss, Oberkochen, Germany) every 2 min for 30 min with a 63× oil objective (Plan‐Apochromat 63×/NA1.4). Image analysis was performed with Imaris 9.9.1 (Bitplane AG, Switzerland) using the Spot (mitochondria) and surface (nucleus) functions. Mitochondrial shortest distance to the nucleus is color‐coded.
Macrophages were plated on at 50,000 cells/well in μ‐Slide 8‐well chambers (80826, Ibidi, Martinsried, Germany) and incubated with 0.5 μM MitoTracker Green (Thermo Fisher Scientific) for 15 min at 37°C prior to imaging. The nuclei were stained using 2 μM Hoechst (Thermo Fisher Scientific). TNF was added immediately before staring video recording. Imaging was carried out using a confocal microscope (LSM800, Carl Zeiss, Oberkochen, Germany) and LD Plan‐Apochromat 40× objective.
Electron microscopy
Cell grown on ACLAR®–Fluoropolymer fil (Plano) were fixed by immersion using 2% glutaraldehyde in 0.1 M cacodylate buffer at pH 7.4 overnight at 4°C. After postfixation in 1% osmium tetroxide and pre‐embedding staining with 1% uranyl acetate, tissue samples were dehydrated and embedded in Agar 100. Thin sections (80 nm) were counterstained using 1% uranylacetat (aq) and examined using a Talos L120C (Thermo Fisher Scientific).
Flow cytometry
Flow cytometry was performed on a BD FACSymphony A5 cell analyzer. HeLa FlpIn TRex cells stably expressing mt‐mKEIMA and doxycycline‐inducible Parkin were seeded in 6‐well plates 48 h prior to treatment. Parkin expression was induced for 24 h by 0.25 μg/ml doxycycline. Cells were treated with TNF or antimycin A/oligomycin (10 μM) for the indicated time (25 ng/ml for 30 min or 10 ng/ml for 16 h) and harvested by Trypsin digestion. 10,000 events were preselected for viable, fluorescent, single cells. Dual‐fluorescence for 405 nm (mt‐mKEIMA pH 7) and 561 nm (mt‐mKEIMA pH 4) excitation and 610/20 nm emission was recorded. The ratio between 561 and 405 nm mt‐mKEIMA fluorescence is a measure of mitophagic flux.
Mitochondria fractionation
To extract crude mitochondria, cells were washed with ice‐cold PBS buffer 2 times and scraped from the dishes. Cells were then collected and centrifuged at 1,000 g for 1 min at 4°C. Cell pellets were resuspended in RSB buffer (10 mM Tris–HCl, 10 mM NaCl, 1.5 mM CaCl2, pH 7.4) for 2–3 min on ice to swell, and then centrifuged at 2,400 g for 5 min at 4°C. The pellets were resuspended in 1:1 mixed RSB/MS buffer (420 mM mannitol, 140 mM sucrose, 10 mM Tris–HCl, 5 mM EDTA, pH 7.4 protease inhibitors, phosphatase inhibitors, N‐ethylmaleimide) and lysed with a 23 G needle (10 times) followed by a 26 G needle (5 times). For human macrophages, the cell suspension was lysed with a 30 G needle (5 times) in addition. The lysed cell suspension was diluted 1:1 ratio with MS buffer. The lysates were centrifuged at 1,500 g for 15 min at 4°C. The supernatant was collected and centrifuged at 14,000 g for 15 min at 4°C to sediment crude mitochondria. The supernatant was centrifuged at 20,000 g for 1 h at 4°C to collect purified cytosol. For further purification, the crude mitochondria were resuspended in 36% Opti‐prep solution and transferred to a tube, overlayed with 4 ml 30% Opti‐prep solution and 4 ml 10% Opti‐prep solution. 1 ml diluent (250 mM sucrose, 6 mM EDTA, 120 mM HEPES, pH 7.4) was added on top of the gradient. The Opti‐prep gradients were centrifuged at 213,000 g for 4 h at 4°C. After centrifugation, the white fluffy layer between 30 and 10% was collected and diluted with M1 buffer (600 mM sucrose, 50 mM Tris–HCl, 10 mM EDTA, pH 8.0), centrifuge at 14,000 g for 10 min at 4°C to sediment purified mitochondria.
Linear ubiquitination assay
Cells were lysed in denaturing lysis buffer (1% SDS in PBS) and heated (95°C for 10 min). Protein extracts were diluted 1:10 with nondenaturing lysis buffer (1% Triton X‐100 in PBS) and cleared by centrifugation. To pull down proteins modified by linear ubiquitin chains, 20 μg of the recombinant UBAN domain of NEMO was added, which carries an N‐terminal Strep‐Tag II. After incubation for 1 h at 4°C, Strep‐Tactin beads were added and incubated overnight at 4°C. Beads were collected by centrifugation and washed. Laemmli sample buffer was added, and the samples were boiled for 10 min. Proteins binding to the UBAN domain were separated with SDS–PAGE and analyzed by immunoblotting using antibodies against M1‐ ubiquitin or pan‐ubiquitin (in case OTULIN was used as a control for M1‐ubiquitin specificity).
Co‐immunoprecipitation
Cells were harvested in cold PBS and subsequently lysed in 1% (v/v) Triton X‐100 in PBS supplemented with Protease Inhibitor Cocktail (Roche), N‐ethylmaleimide and sodium orthovanadate. The lysates were cleared by centrifugation at 20,000 g and incubated overnight with anti‐HA agarose beads at 4°C with gentle rotation. Beads were washed three times with lysis buffer. Immunopurified proteins were eluted by adding Laemmli sample buffer (LSB) and boiling for 10 min.
For endogenous PINK1 immunoprecipitation, crude mitochondria were extracted from cells and lysed in 1% Triton X‐100 lysis buffer on ice for 5 min, then centrifuged at 20,000 g for 20 min at 4°C. The lysates were incubated with rabbit anti‐PINK1 antibody or IgG epitope control overnight at 4°C. The samples were then incubated with prewashed protein A beads for 3 h. The protein A beads were washed with 1% Triton X‐100 lysis buffer 3 times before adding to the samples. The beads were washed three times with 1% Triton X‐100 lysis buffer, finally eluted with 2× LSB, and analyzed by Western blotting.
Size‐exclusion chromatography
HEK293T cells expressing PINK1‐V5 were lysed in Tris buffer (50 mM Tris–pH 7.5, 1 mM MgCl2, 1 mM DTT, and complete protease inhibitor) by repeated passing through a syringe needle. After 15 min incubation on ice, lysates were cleared by centrifugation (20,000 g, 20 min, 4°C). Protein concentration of the samples was measured by the Bradford protein assay and equal amounts of proteins were loaded on the column. Proteins were separated on a Superdex 200 10/300 GL column using an ÄKTA chromatography system (GE Healthcare Life Sciences). 0.5 or 1 ml fractions were collected and analyzed by Western blotting using antibodies against HOIP and the V5 tag.
In vitro ubiquitination assay
PINK1 was immunoprecipitated from cell lysates by anti‐V5 beads. The beads were washed three times with 1% Triton X‐100 lysis buffer and twice with ubiquitination reaction buffer (50 mM Tris–HCl, 5 mM MgCl2, 0.5 mM TCEP), and then incubated with recombinant ubiquitin (30 μM), mouse Ube1 (0.1 μM), UBE2L3 (1 μM), C‐terminal HOIP (4 μM) and ATP (2 mM) in the in vitro ubiquitination reaction buffer for 90 min at 30°C. Reactions were terminated by adding 5× LSB into the reaction mix at 97°C for 3 min. Samples were analyzed by Western blotting.
In vitro deubiquitination assay
Recombinant M1‐linked tetra‐ubiquitin (2.5 μg) was incubated with or without 16 μg tcPINK1 or 16 μg BSA as a control for 48 h at 30°C in kinase buffer (500 mM Tris, 100 mM MgCl2, 10 nM ATP, 10 mM DTT). For the DUB assay, 0.26 μg recombinant OTULIN was added and incubated at 37°C for the indicated time. The DUB reaction was terminated by 5× LSB and heating (80°C). The samples were analyzed by immunoblotting and Phos‐tag™ PAGE.
Cellular deubiquitination assay
PINK1 was immunoprecipitated from cellular lysates as described above and the beads were resuspended in low salt buffer containing recombinant OTULIN (2 mM) and incubated at 25°C for 1 h. The reaction was terminated by adding 5× LSB and heating (95°C). The samples were analyzed by Western blotting.
Apoptosis assays
Activated caspase‐3 was quantified as described previously (Meschede et al, 2020). In brief, cells plated on glass coverslips were stained with antibodies against activated caspase‐3 by indirect immunofluorescence, and signals were visualized by fluorescence microscopy using a Nikon Eclipse E400 microscope.
For the assessment of Bax recruitment, mitochondrial fractions were analyzed by immunoblotting using Bax‐specific antibodies. For analyzing cytochrome c release, subcellular fractionation was performed by differential centrifugation. The cytosolic and mitochondrial fractions were analyzed by immunoblotting using antibodies against cytochrome c.
Image acquisition
Fluorescence microscopy was performed using a Zeiss ELYRA PS.1 equipped with an LSM880 (Carl Zeiss, Jena) and a 20×, 63× oil, or 100× oil immersion objective or a C2+ system (Nikon). Super‐resolution images were generated by structured iIlumination microscopy (SIM) using 405, 488, and 561 nm widefield laser illumination. SIM confocal images were processed using the ZEN2.3 software (Carl Zeiss, Jena). For the p65 translocation assay, laser scanning microscopy was performed using the 405, 488, and 561 laser illumination set in individual channels to avoid cross‐talk. For live‐cell experiments, imaging was carried out using an ELYRA 7 Lattice‐SIM Super‐Resolution microscope (Zeiss, Oberkochen, Germany) equipped with a 63× oil objective (Plan‐Apochromat 63×/NA1.4).
Image analysis
Mitochondrial movement
For the analysis of mitochondrial movement, cells were incubated with MitotrackerGreen™ (50 nM) and Hoechst (5 μg/ml) and imaged every 30 s after treatment with TNF (25 ng/ml). Mitochondria and the nucleus were segmented using Imaris 9.8 Surface and Spot modules and mitochondrial spots were classified with respect to the nuclear distance.
Cytosolic/nuclear ratio of the p65 signal
HeLa cells were plated on glass coverslips and transfected with control or Miro1‐ and Miro2‐specific siRNAs. 48 h after transfection, the cells were treated with TNF (25 ng/ml) for 15 min and then fixed with 4% PFA in PBS for 10 min at room temperature. Cells were permeabilized with 0.2% Triton X‐100 for 30 min and blocked with 5% donkey or goat serum in 0.2% Triton X‐100 in PBS for 1 h at room temperature. Subsequently, the cells were incubated with an anti‐p65 and anti‐tubulin antibody diluted in a blocking buffer overnight at 4°C. After washing, the cells were incubated with AlexaFluor488 and AlexaFluor555 secondary antibodies for 1 h at room temperature. Finally, the cells were washed extensively with PBS and then mounted onto glass slides and analyzed by laser scanning microscopy (LSM). For the analysis of the signal intensity ratio between the cytosol and the nucleus, LSM datasets including stainings for the whole cell (tubulin), p65, and the nucleus (DAPI) were exported using Zeiss Zen Blue (2.1). Based on the individual channels, datasets were segmented in a cytoplasmic and nuclear compartment and the fluorescence p65 signal intensity ratio for every cell was measured using CellProfiler 4.2.1.
Alternatively, the translocation of p65 from the cytosol to the nucleus was determined by indirect immunofluorescence based on single‐cell analysis. SH‐SY5Y cells or MEFs were plated on glass coverslips and transfected with control or PINK1‐specific siRNA. For rescue experiment, cells were co‐transfected with WT PINK1, PINK1Δ77, or kinase‐dead PINK1‐K/D mutant. Two days after transfection, the cells were treated with TNF (25 ng/ml, 25 min) and then fixed with 4% PFA in PBS for 10 min at room temperature. Cells were permeabilized with 0.2% Triton X‐100 for 10 min and blocked with 5% donkey or goat serum in 0.2% Triton X‐100 in PBS for 1 h at room temperature. Subsequently, the cells were incubated with an anti‐p65 antibody diluted in a blocking buffer overnight at 4°C. After extensive washing, cells were incubated with an ALEXA488‐conjugated secondary antibody for 1 h at room temperature. Finally, the cells were washed extensively with PBS and then mounted onto glass slides and analyzed by fluorescence microscopy using a Nikon Eclipse E400 microscope. Nuclei were counterstained with DAPI (Sigma) and transfected cells were visualized by EGFP or mCherry plasmid co‐transfection.
Mitochondrial ultrastructure
High‐resolution images of mitochondria were imported into Imaris 9.8, and the scale was adjusted using the correct pixel sizes. For the analysis of average cristae number/mitochondrial area, Imaris 9.8 surface function was used, and for the average cristae length, data were collected using a direct measure function.
Proximity ligation assay (PLA) positive foci quantification
To analyze the PLA‐positive foci, the images were captured through laser scanning microscopy. Captured images were segmented with cytoplasmic and nucleus compartment, and the PLA foci were identified and counted through Cell Profiler 3.1.9.
Mass spectrometry‐based analysis for the identification of OTULIN interaction partners
In‐gel digestion was performed as previously described (Sima et al, 2021). 200 ng tryptic peptides were subsequently measured by nano‐LC‐ESI‐MS/MS. An UltiMate 3000 RSLC nano‐LC system (Thermo Scientific, Bremen, Germany) was utilized for nano‐HPLC analysis using the following solvent system: (A) 0.1% FA; (B) 84% ACN, 0.1% FA. Samples were loaded on a trap column (Thermo, 100 μm × 2 cm, particle size 5 μm, pore size 100 Å, C18) with a flow rate of 30 μl/min with 0.1% TFA. After sample concentration and washing, the trap column was serially connected with an analytical C18 column (Thermo, 75 μm × 50 cm, particle size 2 μm, pore size 100 Å), and the peptides were separated with a flow rate of 400 nl/min using a solvent gradient of 4% to 40% B for 98 min at 60°C. After each sample measurement, 1 h of column washing was performed for equilibration. The HPLC system was online connected to the nano‐electrospray ionization source of an LTQ Orbitrap Elite mass spectrometer (Thermo Scientific, Bremen, Germany). The mass spectrometer was operated in a data‐dependent mode with the spray voltage set to 1,600 V in positive mode and a capillary temperature of 275°C. Full scan MS spectra (mass range 300–2,000 m/z) were acquired in the Orbitrap analyzer at a mass resolution of 60,000. The 20 most intensive ions per spectra were subsequently fragmented using collision‐induced dissociation (35% normalized collision energy) and scanned in the linear ion trap. The m/z values triggering MS/MS were set on a dynamic exclusion list for 30 s.
Proteins were identified and quantified using MaxQuant (v. 1.6.17.0, https://maxquant.org/) using Andromeda as a search engine. Spectra were matched against UniProt/Swiss‐Prot using human taxonomy (released 2021_02). Methionine oxidation was set as variable modifications; cysteine carbamidomethylation was a fixed one. The minimum number of peptides and razor peptides for protein identification was 1; the minimum number of unique peptides was 0. Protein identification was performed at a protein false discovery rate of 0.01. The “match between runs” option was on. Intensity‐based absolute quantification (iBAQ) was used to estimate protein abundances (Tyanova et al, 2016). The Gene Ontology Cellular Compartment (GOCC) annotation was performed using DAVID Bioinformatics Resources 6.8 (Huang da et al, 2009a,b). Factory settings were maintained. Resulting tables were exported into excel, and the number of proteins from the identified cellular compartments were visualized in the pie chart.
Quantification and statistical analysis
For the quantification of mitochondria‐nucleus contact sites, Image analysis and contacts quantification was carried on using the ImageJ distribution Fiji (https://imagej.net/software/fiji/), ImageJ plugin VolumeJ, and custom macros were written for interorganelle contacts analysis. The analysis was done as previously described (Cali & Brini, 2021). An ROI was traced around the nucleus of probe‐positive cells to quantify only contacts that involve the nuclear envelope.
Data represent the mean ± SD or SEM, n numbers are indicated in the figure legends. For the quantification analysis in which manual counting was used, not all experiments were performed in a blinded manner. All statistical analyses were performed by using GraphPad PRISM (Version 5; San Diego, CA, USA) with the exception of mitochondria‐nucleus contact sites, which were assessed by GraphPad Prism 8. To check the normal distribution of data, the Kolmogorov–Smirnov test was applied. Based on the outcome of the test, appropriate parametric and nonparametric tests were chosen. For the comparison of two independent parametric datasets, the student's t‐test was used. For the comparison of more than 2 parametric datasets, one‐way ANOVA was applied. To correct for α‐error inflation resulting from multiple comparisons, ANOVA was followed by the Tukey's post hoc multiple comparison tests. For the direct comparison of two nonparametric datasets, the Wilcoxon Mann–Whitney (U‐test), and for the comparison of more than more 2 nonparametric datasets, the Kruskal–Wallis test was used. Significance levels for all tests: *P ≤ 0.05; **P ≤ 0.01; ***P ≤ 0.001.
Author contributions
Konstanze F Winklhofer: Conceptualization; supervision; funding acquisition; visualization; writing – original draft; project administration; writing – review and editing. Zhixiao Wu: Formal analysis; validation; investigation; visualization; methodology; writing – original draft. Lena A Berlemann: Formal analysis; validation; investigation; methodology. Verian Bader: Formal analysis; supervision; validation; investigation; visualization; methodology; writing – original draft. Dominik A Sehr: Formal analysis; validation; investigation; visualization; methodology. Eva Dawin: Formal analysis; validation; investigation; visualization; methodology. Alberto Covallero: Formal analysis; validation; investigation; visualization. Jens Meschede: Formal analysis; validation; investigation; visualization. Lena Angersbach: Formal analysis; validation; investigation; visualization. Cathrin Showkat: Formal analysis; validation; investigation; visualization. Jonas B Michaelis: Formal analysis; validation; investigation; visualization. Christian Münch: Resources; supervision; validation. Bettina Rieger: Formal analysis; validation; investigation; visualization. Dmitry Namgaladze: Resources; formal analysis; investigation. Maria Georgina Herrera: Resources; formal analysis; investigation. Fabienne C Fiesel: Resources. Wolfdieter Springer: Resources. Marta Mendes: Formal analysis; investigation. Jennifer Stepien: Formal analysis. Katalin Barkovits: Formal analysis; validation; visualization; methodology; writing – original draft. Katrin Marcus: Formal analysis; supervision; methodology. Albert Sickmann: Supervision; methodology. Gunnar Dittmar: Formal analysis; supervision; visualization; methodology. Karin B Busch: Formal analysis; supervision; investigation; visualization; methodology. Dietmar Riedel: Supervision; investigation; visualization; methodology. Marisa Brini: Resources; supervision; methodology; writing – original draft. Jörg Tatzelt: Conceptualization; supervision; writing – original draft; project administration. Tito Cali: Resources; formal analysis; supervision; visualization; methodology; writing – original draft.
Disclosure and competing interests statement
The authors declare that they have no conflict of interest.
Supporting information
Acknowledgement
We thank Jean‐François Trempe for providing the tcPINK1 plasmid, Katrin Rittinger and Ben Stieglitz for the HOIP‐RBR‐LDD and UBE2L3 plasmids, Richard Youle for the p‐S65‐Parkin antibody, Daniel Krappmann for the OTULIN plasmids, Sadasivam Jeganathan for protein expression and purification, and Genentech for the 1F11/3F5/Y102L antibody. We also thank Günther Meschke for stimulating discussions. KFW is supported by the German Research Foundation (WI/2111‐4, WI/2111‐6, WI/2111/8, FOR 2848, and Germany's Excellence Strategy—EXC 2033‐390677874—RESOLV) and the Michael J. Fox Foundation for Parkinson's Research (Grant IDs 16293 and 021968). SR‐SIM microscopy was funded by the German Research Foundation and the State Government of North Rhine‐Westphalia (INST 213/840‐1 FUGG). TC is supported by grants from the Ministry of University and Research (Bando SIR 2014 no. RBSI14C65Z and PRIN2017) and from the Università degli Studi di Padova (Progetto Giovani 2012 no. GRIC128SP0 to T.C., Progetto di Ateneo 2016 no. CALI_‐ SID16_01, STARS Consolidator Grant 2019). M.B is supported by Local Funds from the University of Padova. CM is supported by the German Research Foundation (Project‐ID 390339347, Emmy Noether Programme and Project‐ID 259130777, CRC1177). WS is supported by the National Institutes of Health (NS085070, NS110085, and NS110435), the Department of Defense Congressionally Directed Medical Research Programs (W81XWH‐17‐1‐0248), the Michael J. Fox Foundation for Parkinson's Research, Mayo Clinic Foundation and the Center for Biomedical Discovery (CBD).
See also: J Chen & T Simmen (December 2022)
Data availability
This study includes no data deposited in external repositories.
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