Summary
Local metabolic demand within cells varies widely and the extent to which individual mitochondria can be specialized to meet these functional needs is unclear. We examined the subcellular distribution of MICOS, a spatial and functional organizer of mitochondria, and discovered that it dynamically enriches at the tip of a minor population of mitochondria in the cell periphery that, based on their appearance, we term “METEORs”. METEORs have a unique composition; MICOS enrichment sites are depleted of mtDNA and matrix proteins and contain high levels of the Ca2+ uniporter MCU, suggesting a functional specialization. METEORs are also enriched for the myosin MYO19, which promotes their trafficking to a small subset of filopodia. We identify a positive correlation between the length of filopodia and the presence of METEORs and show that elimination of mitochondria from filopodia impairs cellular motility. Our data reveal a novel type of mitochondrial heterogeneity and suggest compositionally specialized mitochondria support cell migration.
In Brief
Marlar-Pavey et al determine that a subpopulation of compositionally unique mitochondria, METEORs, dynamically localize to filopodia. Loss of mitochondrial targeting to filopodia correlates with a reduction in filopodia length and reduced rates of cell migration, suggesting these mitochondria may perform a specialized role to support cell motility.
Introduction
Mitochondria are double membrane-bound organelles responsible for energy production and numerous other critical cellular functions, including metabolite transport, lipid synthesis, and the maintenance of ion homeostasis1,2. Mitochondria form a semi-continuous network whose shape and subcellular distribution is controlled via cytoskeleton-based motility, division, and homotypic fusion3,4. Due to these fission and fusion dynamics, mitochondria can exist as a single organelle, or up to hundreds or thousands of individual organelles within cells. Individual mitochondria can also be highly heterogeneous, having variable protein density and composition, shapes, inter-organelle contacts, and functions5–11. Mitochondrial heterogeneity can also be reflected in their subcellular distribution, localizing throughout the axons and dendrites of neurons, at the leading edge of migrating cells, or even within stress-induced filopodia12–16. However, we have a minimal understanding of the extent to which individual mitochondria play specific roles in response to local metabolic needs within cells, and how this physical and functional heterogeneity is established.
One of the key contributors to mitochondrial function is the elaborate organization of the inner mitochondrial membrane (IMM) into three morphologically distinct domains17. The IMM is closely apposed to the outer mitochondrial membrane (OMM) at the boundary, a domain which is responsible for protein import and trafficking between the inside and outside of mitochondria. The IMM invaginates from the boundary to form cristae membranes, which house respiratory complexes responsible for ATP synthesis. The boundary and cristae domains are connected by cristae junctions, narrow tubular necks that are thought to organize the domains and prevent the free diffusion of proteins between each IMM sub-compartment17,18. Mitochondrial cristae density correlates with the respiratory function of the organelle, and the IMM can dynamically remodel to increase cristae number in response to elevated respiratory demand17,19. The internal architecture of mitochondria also enables functional compartmentalization, as each crista can maintain distinct membrane potential from its neighbor20.
The number and organization of cristae membranes is established in large part by the Mitochondrial Contact Site and Cristae Organizing System (MICOS) complex, which forms a ~megadalton-sized assembly that enriches at cristae junctions21. MICOS has membrane shaping roles and is thought to provide stability to the curvature of the cristae junction22–24. Disruption of MICOS leads to a near complete loss of cristae junctions, severely affects mitochondrial cristae morphology, and is linked to numerous pathologies, including Parkinson’s Disease, diabetes, and aging25–27. In addition to its role in cristae organization, MICOS is a master regulator of mitochondrial function, forming an extensive protein interaction network with protein complexes and machineries on the IMM and OMM28–34. Among these interactions, MICOS forms a supercomplex, the mitochondrial intermembrane space bridging complex (MIB), with OMM protein biogenesis machinery35,36. Thus, in addition to its role as a key determinant of cristae architecture and respiratory function, MICOS is central to overall mitochondrial organization.
Here, we describe a distinct subpopulation of mitochondria in the cell periphery that display a high degree of MICOS enrichment at their distal tips. Based on their distinctive appearance, we refer to these mitochondria hereafter as “METEORs” (MICOS enrichment at mitochondria tips enhanced at the outer regions of cells). Using a candidate-based immunolabeling approach, we characterize METEORs as having a highly unique composition. While they maintain membrane potential and contain respiratory complexes, MICOS enrichment sites are generally de-enriched for matrix proteins and absent of mtDNA. Further, they are enriched for the Ca2+ uniporter MCU. We also determine that METEORs traffic dynamically into a subset of filopodia under basal conditions in a manner dependent on the OMM-associated myosin MYO19. Finally, using two distinct approaches, we prevent METEOR formation and trafficking into filopodia, both of which lead to a decrease in filopodia length and reduced cellular motility. Together, our data reveal that MYO19 and the MICOS complex help establish a compositionally unique subpopulation of mitochondria that reside within filopodia and positively support cellular migration.
Results
MICOS complexes are highly enriched at the tip of a subset of mitochondria in the cell periphery
Previously, we performed indirect immunofluorescence of the MICOS subunit MIC60 in U2OS cells, an osteosarcoma cell line33,37. In most mitochondria, MICOS is distributed in an uneven semi-punctate pattern, corresponding to the enrichment of the protein at cristae junctions38,39. However, we noticed that in some cells, a small number of mitochondria in the cellular periphery appear highly enriched for MIC60 relative to all other mitochondria in the cell. To examine this phenomenon in more detail, we immunolabeled and imaged MIC60 and TIMM23, a member of the translocase of the inner membrane (TIM) complex and an abundant IMM protein40,41. Strikingly, while MIC60 and TIMM23 had a similar distribution in most mitochondria at the resolution of confocal microscopy, MIC60 occasionally appeared highly concentrated relative to TIMM23 at the distal tip of a mitochondrion (Figure 1A, see linescan), or enriched in a small mitochondrial fragment, in the cell periphery. These mitochondria with MIC60-enriched tips (METEORs) are present in about 40% of cells, usually as three or fewer mitochondria per cell (Figure 1B). To determine if MIC60 is enriched specifically compared to TIMM23, or other proteins as well, we immunolabelled cells with the translocase of the outer membrane (TOM) subunit TOMM2041. Similar to TIMM23, we observed examples of mitochondria in the cell periphery with local enrichment of MIC60 with no corresponding increase in TOMM20 signal (Figure 1C). Notably, we observed TOMM20-labeled cells with both METEORs and mitochondrial derived vesicles (MDVs), indicating that the MIC60-enriched METEORs are distinct from MDVs42,43 (Figure S1A).
Figure 1. MICOS complexes are highly enriched at the tip of a subset of mitochondria in the cell periphery.

(A) Maximum intensity projection confocal images are shown of a fixed U2OS cell immunolabeled for TIMM23 and MIC60, and stained with DAPI. Dotted boxes correspond to the numbered insets shown on the right. Box 1 shows a representative mitochondrion in the cell periphery and Box 2 shows a METEOR. The yellow dotted lines on the insets correspond to the fluorescence intensity linescans shown at the right. White arrows mark a site of MIC60 enrichment. (B) A graph depicting the frequency of METEORs from cells labeled as in (A) with a 2-fold or higher relative enrichment of MIC60. See (E) for an explanation of quantitative analysis. Data shown represent a total of 174 cells from two independent experiments. (C) Images are shown as in (A) for a cell immunolabeled for TOMM20 and MIC60. (D) As in (A) for a cell immunolabeled for TIMM23, MIC60, and either MIC27 (top panel) or MIC19 (bottom panel). (E) Left: A schematic is shown detailing the quantitative analysis used to determine the ratio of the fluorescence intensity at the tip of METEORs (M) relative to mitochondria in the cell periphery (P). See Methods for additional details. The example image is redisplayed from (A). Right: A graph of calculated fluorescence intensity ratios for MIC60 (n=71), TIMM23 (n=76), and TOMM20 (n=49). Data were acquired from two independent experiments. Solid lines indicate means, and a dotted line is shown at y=1 for reference. (F) Single plane live cell confocal images are shown of METEORs at the indicated timepoints (s = seconds) from cells transiently transfected with TIMM50-mCherry and MIC27-GFP. The top panel depicts stable MIC27 enrichment within a dynamic mitochondrion. The white arrows mark the original MICOS enrichment position and yellow arrows track its movements. The middle panel depicts a METEOR where MIC27 dynamically redistributes away from (red arrow) and towards the mitochondrial tip (yellow arrow). The bottom panel depicts a METEOR which undergoes a fission event (yellow arrow) at the site of MICOS enrichment (white arrow). See also Figure S1D for corresponding whole cell and unmerged images and Videos S1–S3. Asterisks (****p<0.0001) represent an ordinary one-way ANOVA with Bonferroni’s multiple comparison’s test. Scale bars: (A, C) 20 μm (3 μm in inset); (D, F) 3 μm; (E) 5 μm. See also Figure S1.
To our knowledge, this distinct MIC60 distribution pattern has not been reported previously. We considered that it could be an artifact of the MIC60 antibody or not otherwise generalizable to the holo-MICOS complex. To address this, we immunolabeled cells with TIMM23, MIC60, and the MICOS subunits MIC19 or MIC27, which are members of two distinct subcomplexes21. In each case, we observed co-enrichment of MIC27 and MIC19 with MIC60 relative to TIMM23 at the distal tips of mitochondria (Figure 1D). MICOS is part of the MIB supercomplex with OMM proteins, including the Sorting and Assembly Machinery (SAM) complex and DNAJC1135,36. Both the SAM subunit SAMM50 and DNAJC11 were also co-enriched with MIC60 at these mitochondria (Figure S1B–S1C). Thus, components of both the MICOS and MIB complexes enrich at the tips of METEORs.
We next quantified MIC60 enrichment at the tip of METEORs. Using staining of another MICOS subunit as a proxy to blindly identify METEORs based on qualitative appearance, we determined the relative fluorescence intensity of MIC60, TIMM23, and TOMM20 at METEOR tips compared to nearby mitochondria in the cell periphery (see Methods for details). While TIMM23 and TOMM20 labeled MICOS-enriched mitochondria to a similar extent as other cell peripheral mitochondria (mean fluorescence intensity ratio of 0.8 and 1.1, respectively), MIC60 was enriched 3.9-fold on average at METEOR tips (Figure 1E).
To exclude artifacts caused by chemical fixation and staining, we examined MICOS distribution in live cells. We transiently transfected cells with MIC27-GFP or MIC10-GFP along with the IMM marker and TIM subunit TIMM50-mCherry44. When expressed at low levels, MIC27-GFP and MIC10-GFP localized to mitochondria in a patchy distribution, resembling immunolabeling of endogenous MICOS subunits (Figure S1D–S1E). We also frequently saw examples of mitochondria at the periphery of cells with enrichments of MIC27-GFP or MIC10-GFP relative to the IMM marker TIMM50-mCherry (Figure 1F, Figure S1D–S1E). Next, to characterize the dynamic behavior of the MICOS subunits at these sites, we performed timelapse imaging. The localization of MICOS at the tips of METEORs often appeared stable, maintaining its relative enrichment over the course of five minutes (Figure 1F, top panel and Video S1; Figure S1E). However, we could also observe dynamic behavior of METEORs, including some redistribution of MIC27-GFP away from and returning to the mitochondrial tip (Figure 1F, middle panel and Video S2). METEORs were also frequently motile (Figure 1F, top two panels) and occasionally underwent fission near the site of MICOS enrichment to generate MICOS-enriched mitochondrial fragments (Figure 1F, bottom panel and Video S3).
METEORs localize to a subset of filopodia
We noticed that METEORs are found consistently at the extreme periphery of the mitochondrial network and therefore wanted to examine their localization relative to the PM. We performed post-fixation labeling of the PM with wheat germ agglutinin (WGA) conjugated to a fluorescent dye, followed by immunolabeling for MIC60 and TIMM23. Interestingly, METEORs nearly always appeared to contact the PM at the resolution of confocal microscopy, or to localize within extensions from the PM (Figure 2A–2B, see arrows).
Figure 2. METEORs localize to a subpopulation of filopodia.

(A) Maximum intensity projection confocal images are shown of a fixed U2OS cell immunolabeled for TIMM23 and MIC60 and stained with fluorescence-conjugated WGA. Dotted boxes correspond to the numbered insets shown on the right. Arrows correspond to METEORs in PM extensions. (B) A graph depicting the frequency of METEOR localization relative to the PM from cells labeled as in (A). Data shown represent >50 METEORs in each of three independent experiments and bars indicate S.E.M. METEORs were counted as “in proximity” to the PM if they appeared to be touching the PM at the resolution of light microscopy. (C) Single plane live cell confocal images are shown of METEORs at the indicated timepoints from cells transiently transfected with MIC27-GFP, TIMM50-mCherry, and PM-TagBFP. METEORs (white arrows) dynamically move towards the tip of a PM extension (yellow arrow; top panel) and retract from the tip of a PM extension (bottom panel). See Videos S4–S5. (D) Holotomography images are shown at the indicated timepoints of wild-type U2OS cells. Examples of mitochondria that appear to enter PM extensions are tracked with white arrows. Examples of apparent mitochondrial fission and fusion are shown with yellow and red arrows, respectively. (E) A single-plane confocal image is shown of a cell transiently transfected with MIC27-mCherry, GFP-MYO10, and PM-TagBFP. The white arrow indicates a METEOR in a filopodium labeled with GFP-MYO10 (yellow arrow). (F) A graph depicting the frequency of cells containing mitochondria in filopodia from cells labeled as in (A). Data shown represent >50 cells in each of three independent experiments and bars indicate S.E.M. (G) A graph depicting the frequency of filopodia containing mitochondria from cells labeled as in (A). Data shown represent >400 filopodia in each of three independent experiments and bars indicate S.E.M. (H) A graph depicting the frequency of mitochondria in filopodia that are METEORs from cells labeled as in (A). Data shown represent >18 filopodia-localized mitochondria in each of three independent experiments and bars indicate S.E.M. (I) A graph depicting the individual lengths of filopodia that contain mitochondria, or adjacent filopodia without mitochondria, from cells labeled as in (A). Data shown represent n=134 total filopodia per category acquired from three independent experiments. Solid lines indicate the mean filopodia length. Superimposed colored circles represent the means for individual experimental replicates. Asterisks (****p<0.0001) represent a paired two-tailed t test. Scale bars: (A) 20 μm (3 μm in inset); (C) 3 μm; (D, E) 5 μm. See also Figure S2.
To visualize the dynamics of these mitochondria in live cells, we co-transfected cells with MIC27-GFP, TIMM50-mCherry, and a marker of the PM (PM-TagBFP45), and imaged by confocal microscopy for a period of five minutes. METEORs often dynamically moved within PM extensions, including toward or with the tip of growing PM extensions (Figure 2C, top panel and Video S4). However, mitochondria did not universally move outward, and we could see examples of mitochondria retracting from the tip of PM extensions (Figure 2C, bottom panel and Video S5). We also performed longer-term label-free imaging of mitochondria using holotomographic microscopy, which enables simultaneous visualization of the PM and mitochondria based on their different refractive indices46. Mitochondria appeared to dynamically localize to and stably reside within PM extensions for a period of several minutes (Figure 2D). These mitochondria and the PM extensions appeared to ultimately retract, and mitochondria could be observed to rejoin the network (see Figure 2D, red arrows).
Based on their appearance, we considered the PM extensions that contain mitochondria could be filopodia, thin actin-mediated cell protrusions that play a role in cell adhesion, environment sensing, and migration47,48. Indeed, previous reports suggest that mitochondria can localize to filopodia that form during acute stress conditions, including glucose starvation and H2O2 treatment15,16. We therefore transiently transfected cells with MIC27-mCherry, PM-TagBFP, and GFP-MYO10, a marker of filopodia49. The tips of PM extensions containing METEORs were routinely labeled with GFP-MYO10, indicating that these structures are filopodia (Figure 2E).
To further characterize filopodia and their relationship to METEORs, we analyzed wild-type cells that were fixed, stained with fluorescence-conjugated WGA, and immunolabeled for MIC60 and TIMM23. Filopodia were present in nearly all cells (95.4%; n>40 cells in each of three independent experiments), and we could detect TIMM23-labeled mitochondria in at least one filopodia in ~40% of cells (Figure 2F). However, the presence of mitochondria within filopodia was relatively infrequent, and only 4% of all filopodia contained a mitochondrion (Figure 2G). Next, to determine whether the presence of mitochondria within filopodia was an indicator of MICOS-enrichment, we quantitatively assessed their MIC60 staining relative to other mitochondria in the cell periphery. Strikingly, ~95% of mitochondria within filopodia exhibited at least 2-fold enrichment of MIC60, indicating that mitochondria in filopodia are almost exclusively METEORs (Figure 2H).
Given that only a small subset of filopodia contained mitochondria, we next asked if there were defining differences of filopodia that contain mitochondria. We compared the length of filopodia that contain mitochondria to adjacent filopodia without mitochondria present, finding that mitochondria-containing filopodia were on average about twice as long (4.0 μm vs. 2.0 μm, respectively; Figure 2I). Together, these data indicate that in steady-state growth conditions, a small subset of filopodia contain METEORs, the presence of which positively correlates with filopodia length.
Because stress conditions were previously reported to stimulate mitochondrial targeting to filopodia and filopodia formation15,16, we asked whether these conditions increased the prevalence of METEORs. However, glucose starvation did not increase mitochondria targeting to filopodia and appeared instead to decrease the percentage of cells where METEORs could be observed (Figure S2A–S2B). In addition, H2O2 treatment, which led to the robust formation and/or lengthening of filopodia, did not appear to increase the prevalence of mitochondrial targeting to filopodia or METEOR formation (Figure S2C–S2D). We also considered whether increased demand for respiration may increase METEOR formation. Cells were either acutely (2h) or constitutively grown in glucose-free media supplemented with galactose as a carbon source, though METEOR formation did not appear to be altered (Figure S2E–S2F).
MYO19 and MIC60 are required for mitochondrial trafficking into filopodia
Based on our observation that METEORs were present in filopodia, we studied the mechanism by which these mitochondria were trafficked to the cellular periphery. Previous reports suggest that a mitochondrial-associated myosin, MYO19, is required to promote mitochondrial targeting to stress-induced filopodia15,16. Recently, MYO19 was also shown to associate with the MIB complex, possibly via a direct interaction with the SAM complex subunit MTX350,51. To explore a potential connection between MYO19 and the trafficking of METEORs to filopodia under basal conditions, we first examined the localization of MYO19 relative to MICOS. We fixed and immunolabeled cells for MYO19, MIC60, and TIMM23 and imaged by confocal microscopy. Consistent with previous reports51,52, immunolabeled MYO19 decorated the exterior of typical mitochondria (Figure 3A, top panel). However, in METEORs, MYO19 concentrated at punctate structures coincident with MIC60 enrichment sites (6.7-fold mean enrichment of MYO19; Figure 3A, bottom panel and Figure 3B).
Figure 3. MYO19 and MIC60 are required for mitochondrial trafficking into filopodia.

(A) Maximum intensity projection confocal images are shown of a fixed U2OS cell immunolabeled for MIC60, MYO19, and TIMM23. Images from the top row are from representative perinuclear mitochondria and images at bottom are from a METEOR in the cell periphery. White arrows mark a site of MYO19 co-enrichment with MIC60 at the tip of a METEOR. (B) A graph is shown of the fluorescence intensity ratios of MIC60 (n=46), MYO19 (n=51), and TIMM23 (n=26) at METEOR tips relative to nearby mitochondria in the cell periphery. Solid lines indicate the mean, and a dotted line is shown at y=1 for reference. (C) A Western blot with the indicated antibodies of lysate from cells transfected with a scrambled control siRNA or MYO19-targeting siRNA #1. (D) Representative maximum projection images of cells treated with siRNA as in (C) and fixed and immunolabeled for TIMM23, MIC60, and stained with fluorescence-conjugated WGA. The white arrow marks a METEOR localized in a filopodium. Yellow arrows in the MYO19-depleted cell highlight mitochondria localized to the cell periphery, but not localized to filopodia or enriched for MIC60. (E-F) Graphs depicting the frequency of cells with METEORs (E) and mitochondria in filopodia (F) in control or MYO19 siRNA treated cells as in (C). Data shown represent >30 cells per condition in each of three independent experiments, and bars indicate S.E.M. (G) A graph depicting the density of filopodia in individual control and MYO19 siRNA treated cells as in (C). Data represent a total of n=87 cells per condition acquired from three independent experiments. (H) A graph is shown depicting the length of filopodia in control or MYO19 siRNA treated cells as in (C). Data shown represent approximately 600 filopodia per condition acquired from three independent experiments. (I) As in (C) for cells treated with control or MIC60-targeting siRNA. (J) Maximum projection images of cells treated as in (I) and fixed and immunolabeled for TIMM23 and stained with fluorescence-conjugated WGA. White arrows correspond to mitochondria in filopodia. (K) As in (F) for cells treated as in (I). Data shown represent >30 cells per condition in each of three independent experiments and bars indicate S.E.M. (L) As in (G) for cells treated as in (I). Data shown represent a total of n=58 cells per condition acquired from three independent experiments. (M) As in (H) for cells treated as in (I). Data shown represent >300 filopodia per condition acquired from two independent experiments. Asterisks (****p<0.0001, ***p<0.001) represent an ordinary one-way ANOVA with Bonferroni’s multiple comparisons test (B) or unpaired two-tailed t tests (E, F, G, H, K, L, M). N.S. indicates not statistically significant. Scale bars: (A) 2 μm; (D,J) 5 μm. See also Figure S3.
We next asked whether MYO19 was required for the formation of METEORs or the basal targeting of mitochondria to filopodia. We performed transient knockdowns of MYO19 with two independent siRNAs, leading in each case to a robust reduction in MYO19 protein levels as assessed by Western blotting (Figure 3C and Figure S3A). We then fixed the cells, stained the PM, and immunolabeled for MIC60 and TIMM23. While MIC60 protein levels and its distribution in a semi-punctate pattern on most mitochondria was not affected by MYO19 depletion, we observed a near complete loss of MIC60-enriched METEORs (Figure 3D–3E and Figure S3B–S3C). In addition, we found that mitochondria were nearly entirely absent from filopodia in cells depleted of MYO19 (Figure 3F and Figure S3D). Together, these data indicate that MYO19 is required for both METEOR formation and trafficking of mitochondria into filopodia.
Because mitochondria were no longer present in filopodia, we next examined the consequence of MYO19 depletion on the number of filopodia and their length. Importantly, MYO19 depletion did not significantly alter the density of filopodia (Figure 3G). However, consistent with previous observations in stressed cells16, filopodia were significantly shorter in the absence of MYO19 (Figure 3H). Notably, a small population of longer filopodia appeared selectively diminished in MYO19-depleted cells. In combination with our observation of the presence of mitochondria in longer filopodia (Figure 2H), these data further suggest MYO19-dependent mitochondrial targeting is required to promote formation of a subset of longer filopodia during basal growth conditions.
MYO19 has been implicated in mitochondrial cristae architecture due to its interaction with MICOS/MIB, and has also has been suggested to influence mitochondrial fission dynamics and inheritance during cell division50,51,53,54. We therefore assessed mitochondrial morphology in cells transiently depleted of MYO19 by confocal microscopy. We found that mitochondria were primarily absent from filopodia but remained in proximity to the PM (Figure S3E–S3F). Importantly, overall mitochondrial network morphology was not grossly impacted by MYO19 depletion (Figure S3G). Additionally, the morphology and distribution of other organelles such as the endoplasmic reticulum (ER), and the distribution of the actin and microtubule cytoskeletal networks, were not grossly altered in MYO19 knockdown cells (Figure S3H–S3J). We then examined mitochondrial ultrastructure by electron microscopy. In contrast to reports in MYO19 knockout cells50, mitochondrial cristae appearance and density were unaffected in cells transiently depleted of MYO19 (Figure S3K–S3L). Together, these data suggest that acute MYO19 depletion selectively decreases METEOR formation and mitochondrial targeting to filopodia without causing gross defects in the MICOS complex or mitochondrial morphology.
We next determined whether local enrichment of the MICOS complex is important for the targeting of mitochondria to filopodia. We depleted the core MICOS subunit MIC60 by siRNA, which causes destabilization of the holo-MICOS complex39,55, and performed post-fixation labeling of the PM and immunolabeling of TIMM23. Consistent with our previous observations, depletion of MIC60 in U2OS cells caused mitochondrial morphology defects, including mitochondrial fragmentation (Figure 3I–3J)33. Mitochondria also often appeared concentrated in the perinuclear region, and, as in the case of MYO19 depletion, mitochondria failed to traffic to filopodia (Figure 3K). Despite the pleiotropic effects of MIC60 depletion, we observed that while filopodia density was not significantly altered, filopodia length was reduced (Figure 3L–3M), consistent with our observations in MYO19-depleted cells. We also immunoblotted and immunolabeled MIC60-depleted cells for MYO19, finding that MYO19 levels were minimally affected and MYO19 retained its targeting to the OMM (Figure S3M–S3N). Together, these data indicate that disruption of the MICOS complex or depletion of MYO19 each interfere with METEOR formation and mitochondrial trafficking to filopodia. Further, in both cases, the loss of mitochondrial targeting to filopodia correlates with a reduction in filopodia length.
METEOR mitochondria have a unique composition
The MICOS complex is typically enriched within the IMM at cristae junctions, explaining the semi-punctate distribution of its subunits throughout mitochondria in immunofluorescence images38. However, the observed local enrichment of the MICOS complex at mitochondrial tips was quite unusual. We reasoned that the high enrichment of MICOS and MIB subunits could reflect an enrichment of cristae junctions, and thus cristae membranes and respiratory complexes, at those sites. Therefore, to assess the local distribution of respiratory complex proteins at MICOS enrichments, we fixed and immunolabeled wild-type cells for MIC60 or MIC19 and constituent members of Complex I (NDUFB8), Complex III (UQCRFS1), Complex IV (COX4I1), and ATP synthase (ATP5F1A). We then measured the fluorescence intensity ratio of each respiratory complex component at MICOS enrichment sites relative to nearby mitochondria in the cell periphery. To our surprise, respiratory complex subunit staining was not enriched at METEORs versus other mitochondria and did not appear significantly different than the IMM protein TIMM23 (Figure 4A–4B). These data suggest that the local enrichment of MICOS subunits does not correspond to an enrichment of respiratory complexes within METEORs.
Figure 4. METEOR mitochondria have a unique composition.

(A) Maximum intensity projection confocal images are shown of fixed U2OS cells immunolabeled for MIC60 or MIC19 and the indicated respiratory complex subunit. White arrows mark sites of MICOS enrichment. (B) A graph of fluorescence intensity ratios at METEOR tips relative to nearby cell peripheral mitochondria for MIC60 (n=71), TIMM23 (n=76), Complex I (NDUFB8; n=56), Complex III (UQCRFS1; n=38), Complex IV (COX4I1; n=47), and ATP Synthase (ATP5F1A; n=35). Data for MIC60 and TIMM23 are redisplayed from Figure 1E. Images were acquired from at least two independent experiments. Solid lines indicate means and a dotted line is shown at y=1 for reference. (C) Maximum intensity projection images are shown of cells immunolabeled for MIC60, TIMM23, and either MAVS, MCU, or HSP60, where indicated. White arrows mark sites of MIC60 enrichment. Note the apparent uniform labeling of MAVS (top panel), co-enrichment of MCU (middle panel), and de-enrichment of HSP60 (bottom panel). (D) A graph as in (B) for MIC60 (n=71), MAVS (n=38), TOMM20 (n=49), ATAD3 (n=41), MCU (n=82), SDHA (n=38), SLC25A5 (n=38), TIMM23 (n=76), HSP60 (n=44), OGDH (n=43), and PDH (n=44). Data for MIC60, TIMM23, and TOMM20 are redisplayed from Figure 1E. Images were acquired from at least two independent experiments. Solid lines indicate means and a dotted line is shown at y=1 for reference. (E) As in (C) for cells immunolabeled for MIC60, MAVS, and dsDNA. White arrows mark MIC60 enrichment sites within mitochondria that contain mtDNA (yellow arrows), but mtDNA foci are not localized at those sites. Red arrows depict METEOR mitochondrial fragments that do not contain mtDNA. (F) A single plane live cell confocal image of a U2OS cell transfected with PM-TagBFP and labeled with TMRE. The white arrows indicate mitochondria in filopodia. (G) A graph depicting the relative fluorescence intensity ratios of TMRE labeling in mitochondria in filopodia relative to cell peripheral mitochondria for cells treated as in (F) (n=31 from 17 cells). For comparison, the fluorescence intensity ratio was determined for mitochondria in the cell periphery that were imaged before and after 45 minutes of treatment with 10 μM CCCP (n=27 from 20 cells). Solid lines indicate means. A dotted line is shown at y=1 for reference. Asterisks (****p<0.0001, **p<0.01) represent ordinary one-way ANOVAs with Dunnett’s multiple comparisons test (B, D) or an unpaired two-tailed t test (G). N.S. indicates not statistically significant. Scale bars: (A,C,E) 3 μm; (F) 5 μm. See also Figure S4.
Given the unusual distribution of MICOS in METEORs and the lack of co-enrichment of respiratory complex subunits at these sites, we evaluated the protein composition of METEORs in more detail. We took a candidate-based approach by utilizing antibodies against proteins in different mitochondrial sub-compartments that clearly labeled the organelle by immunofluorescence. Aside from MYO19 and the MIB subunits SAMM50 and DNAJC11 (Figures 3 and S1), other OMM proteins such as TOMM20 and MAVS were not enriched at METEOR tips (Figure 4C–4D). In contrast, the IMM and matrix proteins we examined often exhibited either selective enrichment or depletion. Specifically, each matrix-localized protein we assessed appeared de-enriched as compared to IMM proteins such as TIMM23. These included the chaperone HSP60, the citric acid cycle enzyme α-ketoglutarate dehydrogenase (OGDH), and the pyruvate dehydrogenase E1α subunit (PDHA1) (Figure 4C–4D; Figure S4A). We also saw differential labeling of IMM proteins. Nearly every IMM component we analyzed had a similar staining pattern as TIMM23, including the ATP-ADP transporter SLC25A5, the AAA ATPase ATAD3, and the peripherally associated succinate dehydrogenase subunit SDHA (Figure 4D; Figure S4A). In contrast, we saw an almost 2-fold enrichment of the Ca2+ uniporter MCU at METEOR tips (Figure 4C–4D). Indeed, MCU was the only other protein we examined that exhibited substantial local enrichment within METEORs. In total, our data suggest that METEORs have a distinct composition from other mitochondria in the cell.
Because of the general reduction in relative protein staining of matrix-localized subunits, we assayed for the presence of mtDNA at METEOR tips. We immunolabeled cells with dsDNA antibody, which labels both nuclear DNA as well as mitochondrial genomes. Notably, while mtDNA always appeared present in mitochondrial tubules where MICOS was enriched at the tip, the mtDNA never localized at the enrichment site (0%, n=60; Figure 4E, compare yellow and white arrows). Further, METEORs frequently appear as mitochondrial fragments, and in these cases, mtDNA was infrequently present and also never localized to a MIC60 enrichment site (Figure 4E, see red arrows). Thus, in addition to having relatively low abundance of matrix proteins, METEOR tips and METEOR fragments generally do not contain mtDNA.
Mitochondria are known to maintain tight dynamic association with the ER56. We wanted to determine if ER-mitochondrial contact sites are maintained within the confines of filopodia, and whether the ER is associated with the MICOS-enriched tips of METEORs. In both live and fixed cells, we could observe examples of ER and mitochondria residing within filopodia together (Figure S4B–S4C, white arrows). However, we could also observe instances where sites of MICOS enrichment did not appear to be in contact with the ER membrane, as well as individual mitochondria within filopodia that appear to have lost their ER association (Figure S4B–S4C, yellow arrows), indicating that METEORs may disengage from the ER.
Due to the unusual composition of METEOR tips, their relatively low levels of matrix proteins, and the absence of mtDNA, we considered that these mitochondria may not be functional. Indeed, previous reports suggest that in neutrophils, MYO19 mediates trafficking of dysfunctional mitochondria with low membrane potential to migrasomes for their disposal, a process termed mitocytosis57. We therefore examined the membrane potential of mitochondria in filopodia, which are almost exclusively METEORs (Figure 2G). We transfected cells with PM-TagBFP and stained mitochondria with the membrane potential-dependent dye tetramethylrhodamine ethyl ester (TMRE). We observed equivalent TMRE staining in mitochondria in filopodia relative to cell peripheral mitochondria (Figure 4F–4G). By comparison, treatment with carbonyl cyanide m-chlorophenyl hydrazone (CCCP), which uniformly collapses membrane potential, ablated TMRE signal (Figure 4F–4G). These data suggest that despite their unusual composition, METEOR mitochondria in filopodia maintain polarization across the IMM.
Elimination of mitochondria from filopodia disrupts cellular migration
Filopodia are functionally associated with cell adhesion and migration47,48. Given the correlation between mitochondrial presence and filopodia length, we considered that the compositionally unique mitochondria could promote filopodia function and support cell migration. To examine this, we imaged cells over a period of 3.5 hours. Nuclei stained with Hoechst were used to determine the individual motility of several hundred cells per experiment. When plated on uncoated glass-bottom dishes, a small percentage of cells was motile as determined by their displacement rate, whereas cellular movement on a population level was relatively limited (Figure 5A–5B). However, consistent with previous reports58, when plated on a surface pre-coated with collagen, U2OS cell migration was substantially increased, and individual cellular motility was more uniform over the population of cells (Figure 5A–5B and Video S6).
Figure 5. Elimination of mitochondria from filopodia disrupts cellular migration.

(A) Representative images are shown of U2OS cells plated on uncoated (left) or collagen coated (right) glass-bottom dishes, labeled with Hoechst (blue), and imaged every 5 minutes. Red lines indicate nuclear movement over a period of 210 minutes. See Video S6. (B) A graph depicting the displacement rate of individual cells as in (A). Data represent at least ~1000 cells per condition acquired from three independent experiments. Solid lines indicate mean displacement rate and superimposed colored circles represent the means of individual experimental replicates. (C-E) Quantitative analyses are shown of cells that were plated on uncoated or collagen coated dishes, fixed, stained with fluorescence-conjugated WGA, immunolabeled with MIC60 and TIMM23, and imaged by confocal microscopy. Graphs are shown depicting (C) the frequency of cells with METEORs, (D) the frequency of cells with mitochondria in filopodia, and (E) the frequency of filopodia that contain mitochondria. Data shown represent ~50 cells per condition in each of three independent experiments and bars indicate S.E.M. (F) A graph depicting the individual lengths of filopodia that contain mitochondria, or adjacent filopodia without mitochondria, from cells as imaged in (C-E). Data represent ~50 filopodia per condition. Solid lines indicate the mean filopodia length. Superimposed colored circles represent the means for individual experimental replicates. (G) A graph depicting the density of filopodia in individual cells as in (C-E). Solid lines indicate means. Data represent a total of n=90 cells per condition acquired from three independent experiments. (H) As in (A) for cells treated with control siRNA (left) or siRNA targeting MYO19 (right). See Video S7. (I) A graph depicting cellular displacement rate as in (B) for cells treated as in (H). (J-K) As in (H-I) for cells treated with control siRNA (left) or siRNA targeting MIC60 (right). See Video S8. Asterisks (****p<0.0001, ***p<0.001, **p<0.01, *p<0.05) represent unpaired two-tailed t tests (B,C,D,E,G,I,K) or an ordinary one-way ANOVA with Tukey’s multiple comparisons (F). N.S. indicates not statistically significant. Scale bars: (A, H, J) 100 μm. See also Figure S5.
Given the increased migration of U2OS cells plated on a collagen substrate, we asked whether the increased rate of motility positively correlates with the presence of METEORs. We grew wild-type cells on uncoated or collagen-coated glass-bottom dishes, stained the PM post-fixation, and immunolabeled mitochondria with TIMM23 and MIC60. Strikingly, while only about one-third of cells exhibited METEORs when plated on a glass substrate, they were present in approximately two-thirds of cells plated on collagen (Figure 5C). This corresponded to a similar increase in the percentage of cells with mitochondria present in filopodia, but notably, mitochondria remained present in only a minor subset of filopodia in each cell (Figure 5D–5E). Based on our observation that filopodia with mitochondria present were longer than other filopodia (Figure 2H), we next asked whether plating cells on collagen affected filopodia length. We found that the length of filopodia that do not contain mitochondria, which comprise ~95% of the population, was not affected by plating cells on collagen (1.9 μm collagen-coated vs. 1.8 μm uncoated; Figure 5F), nor was the density of filopodia (Figure 5G). However, remarkably, the mean length of filopodia that contain mitochondria was approximately twice as long after plating cells on collagen (6.8 μm collagen-coated vs. 3.3 μm uncoated; Figure 5F). Together, these data indicate that plating cells on a substrate that promotes cell migration increases the prevalence of METEORs in filopodia and correlates with a selective increase in length of filopodia that contain mitochondria.
Since the presence of METEORs positively correlated with cell migration rates, we next determined whether inhibition of the formation of METEORs and elimination of mitochondria from filopodia affected cellular migration. We knocked down MYO19, plated cells on dishes coated with collagen, and analyzed cellular migration as before. Depletion of MYO19 led to a significant reduction in the cellular displacement rate, indicating that MYO19 is required for normal cellular migration (Figure 5G-5H, Video S7, and Figure S5A–S5B). However, because MYO19 knockout cells are reported to have defects in focal adhesions53, we considered that MYO19 knockdown may influence cell migration independently of METEOR formation. We thus reasoned that if the reduced migration rate of MYO19-depleted cells was due to the inability of METEORs to traffic to filopodia, then knockdown of MIC60, which also prevents mitochondrial targeting to filopodia without affecting MYO19 recruitment (Figure 3K and Figure S3N), would decrease cell motility. We performed siRNA-mediated knockdown of MIC60 and examined the rate of migration of cells grown on dishes coated with collagen. As in the case of MYO19-depleted cells, disruption of the MICOS complex via MIC60 knockdown led to a significant reduction of cellular migration (Figure 5I-5J and Video S8). Reduced migration in MIC60-depleted cells may be due to pleiotropic and global defects in mitochondrial function. However, in combination with our observations of reduced cellular migration in MYO19-depleted cells, these data are consistent with the model that filopodia targeting of METEORs is required to promote normal cellular motility rates.
Because METEORs were enriched for the Ca2+ uniporter subunit MCU, we asked whether disruption of the MCU complex altered METEOR formation and cellular migration rates. We performed transient knockdowns of MCU with two independent siRNAs and found in each case that METEOR formation and localization to filopodia was not affected (Figure S5C–S5E). In addition, the length of filopodia that contain mitochondria did not appear different than in control cells (Figure S5F). However, disruption of MCU led to a subtle reduction in cellular motility (Figure S5G–S5H), though these effects were notably less severe than depletion of MYO19. These data indicate that while the regulation of Ca2+ homeostasis may be a contributing role of METEORs and their ability to promote cell migration, this may not be their exclusive function.
Discussion
Within a single cell, mitochondria are heterogeneous in size, shape, protein composition, cristae organization, and inter-organelle contacts. Here, we identify a subpopulation of compositionally unique mitochondria, METEORs, that localize in proximity to the PM and within filopodia. These mitochondria are dramatically remodeled. Their tips are highly enriched for the MIB/MICOS complex and the IMM Ca2+ uniporter MCU while also having reduced levels of matrix proteins and mitochondrial genomes. We find that these mitochondria traffic to filopodia in a manner dependent on MYO19, which co-enriches with the MICOS complex at METEORs. Further, we observe a positive correlation between the length of filopodia and the presence of mitochondria within them. Growth on a collagen substrate promotes mitochondrial trafficking to longer filopodia while depletion of MYO19 or disruption of MICOS prevents mitochondrial trafficking to PM extensions, resulting in a selective reduction of longer filopodia. Finally, we find that elimination of mitochondria from filopodia by either approach is associated with reduced rates of cellular motility. Together, our data indicate that a specialized sub-population of mitochondria in the cell periphery localizes to filopodia to support cellular migration.
Cell motility is a fundamentally vital process, essential for tissue and organ development and wound healing, and is often dysregulated in metastatic cancer cells59. Mitochondria are known to traffic to the leading edge and have been positively implicated in supporting migration and cell invasion via energy production13,14,60,61. In addition, previous reports suggest a role for MYO19 in trafficking of mitochondria to filopodia and increasing filopodia formation during stress conditions15,16. Our findings suggest that mitochondria can target to filopodia not only during stress, but also during basal growth conditions to support migration. It is thought that mitochondria traffic to the leading edge to increase the local concentration of ATP required for energy demanding processes. However, we show that the mitochondria that are found within filopodia are highly unusual. High levels of MICOS complexes canonically would predict an increased density of cristae junctions, which could correspond to an enrichment of associated cristae membranes, increased concentration of respiratory complexes, and thus higher levels of oxidative phosphorylation function. While future work to determine the mitochondrial ultrastructure of METEORs will be critical, notably, we do not observe respiratory complex enrichment nor the presence of mtDNA at MICOS-enriched sites. Importantly, METEORs do generally maintain membrane potential, suggesting they are indeed functional. However, the unique composition at METEORs suggests that they may play other or additional roles.
Interestingly, out of the 14 mitochondrial proteins we examined, the only protein we regularly observed co-enriched with MICOS/MIB/MYO19 within METEORs was the IMM Ca2+ uniporter MCU. In neuronal development, cytosolic Ca2+ transients within filopodia are important for regulating growth cone motility and guidance62 and other reports suggest that PM L-type Ca2+ channels promote a local influx of Ca2+ within filopodia that promotes their stability and cell migration63,64. However, our data indicate that while MCU depletion has mild effects on cell migration, METEOR formation and filopodia length were unaltered in MCU knockdown cells. While our data do not exclude the possibility that such phenotypes are dampened by incomplete knockdown of MCU, they indicate that METEORs may play alternative roles or that a Ca2+-related function of METEORs is circumstance-specific. Future studies to determine the composition of METEORs in an unbiased fashion and explore METEOR formation in other cell types may help reveal their specific function(s).
A critical question that arises from our work is the mechanism of protein remodeling and MICOS enrichment at METEORs. Our results suggest that depletion of MYO19 prevents not only mitochondrial trafficking to filopodia, but also METEOR formation. Thus, the remodeling of the mitochondrial proteins may be initiated from the outside-in. One interesting possibility that warrants further exploration is whether the enrichment of MICOS directs the redistribution of other IMM/matrix proteins that occurs within METEORs. While the MICOS complex is most associated with the formation and stabilization of cristae junctions, MICOS has a broader distribution within the IMM than merely at cristae junctions39. MICOS also serves as a protein-protein interaction hub within the intermembrane space and has previously been shown to interact with the MCU regulatory subunit MICU128,34. Thus, it will be interesting to determine whether via this interaction, MICOS is specifically required for the local enrichment of MCU. Another question that arises is how matrix proteins and mtDNA are more generally excluded from METEOR tips. Going forward, it will be pivotal to determine if the localization of MICOS in METEORs can be uncoupled from the protein remodeling that occurs there, which will improve our understanding of the specific functional roles of METEORs.
Our work also has important implications for our understanding of the subcellular heterogeneity of mitochondria. In recent years, it has become clear that mitochondria are specialized and proteomically or functionally distinct in different cell types and tissues8,9. Mitochondria also can have different morphological and protein density characteristics at a subcellular level7,38. A recent report indicates that individual mitochondria can be specialized for oxidative versus reductive metabolism11. There are also examples of remodeled mitochondrial membranes, including MDVs, MDCs, and SPOTs, that can serve in signaling and stress responses43. Among our findings, we notably identify a novel subtype of mitochondria within a single cell with a distinct composition, adding to the growing list of specialized mitochondrial functions and behaviors. Our results stem from a fortuitous observation by immunofluorescence microscopy of local enrichment of a single protein at rare sites within the mitochondrial network. This raises the intriguing possibility that such examples of organelle specialization are more widespread throughout nature than previously thought and may only become apparent by careful unbiased microscopy-based approaches.
Resource Availability
Lead Contact
Additional details and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Jonathan R. Friedman (JonathanR.Friedman@utsouthwestern.edu).
Materials Availability
All unique/stable reagents generated in this study are available from the lead contact without restriction.
Data and Code availability
All data reported in this paper will be shared by the lead contact upon request. This study does not report original code. Any additional information required to reanalyze the data reported in this paper is available from the lead author upon request.
STAR Methods
Experimental Model Details
Cell culture
U2OS cells (a gift from Jodi Nunnari) were originally acquired from ATCC and were cultured at 37°C, 5% CO2 in DMEM (D5796; Sigma Aldrich) supplemented with 10% fetal bovine serum (FBS; F0926; SigmaAldrich), 25 mM HEPES (H0887; SigmaAldrich), 100 units/mL penicillin, and 100 μg/mL streptomycin. For glucose starvation experiments, cells were grown in glucose-free DMEM (ThermoFisher Scientific 11966025) supplemented with 25 mM HEPES, 100 units/mL penicillin, 100 μg/mL streptomycin, and where indicated, 10% FBS or 5 mg/ml bovine serum albumin (Cytvia SH30574). For growth in galactose, cells were grown in glucose-free DMEM supplemented with 25 mM HEPES, 100 units/mL penicillin, 100 μg/mL streptomycin, 10% FBS, and 10 mM galactose (SigmaAldrich G5388). For H2O2 treatment, cells were grown in standard media supplemented with 200 μM H2O2 (ThermoFisher Scientific H325). Cells were maintained at low passage number and routinely tested for mycoplasma contamination.
Method Details
Plasmids and siRNA oligonucleotides
MIC27-GFP was generated by PCR amplifying the MIC27 coding sequence (NCBI Accession Number NM_198450.6) from cDNA generated from HeLa cells and cloning into the BglII/SalI sites of pAcGFP-N1. MIC27-mCherry was generated by inserting mCherry into the KpnI/NotI sites of MIC27-GFP, replacing the GFP cassette. MIC10-GFP was generated by PCR amplifying the MIC10 isoform a coding sequence (NCBI Accession Number NM_001032363.4) from cDNA generated from HeLa cells and cloning into the XhoI/BamHI sites of pAcGFP-N1. TIMM50-mCherry was previously described44. PM-TagBFP was generated by first PCR amplifying an N-terminal fusion of the PM targeting sequence of Lyn45 to the AcGFP coding sequence from pAcGFP-N1 to generate PM-GFP. To generate PM-TagBFP, TagBFP was subsequently subcloned into the BamHI/NotI sites of PM-GFP, replacing the GFP cassette. Myo19-GFP (Addgene 134988) was a gift from Martin Bähler65. GFP-Myo10 (Addgene 135403) was a gift from Richard Cheney49. GFP-Sec61β was a gift from Gia Voeltz66.
For siRNA depletion, Silencer Select siRNAs (ThermoFisher Scientific; Negative Control No. 2 (4390846); MIC60 (s21633); MYO19 (siRNA#1 - s37017; siRNA#2 - s37019); MCU (siRNA#1 – s40424; siRNA#2 – s40422)) were used for all experiments. siRNA sequences are as follows:
MIC60: 5’-GAAUGACCUAGAAACGAAtt-3’,
MYO19 #1: 5’-GGUGAAUCCUGUGACACUAtt-3’,
MYO19 #2: 5’-GCGUGUACACUGAGGAAUAtt-3’
MCU #1: 5’-GGAAUAUGUUUAUCCAGAAtt-3’
MCU #2: 5’-GGUUACCUGUGAUAUCUGUtt-3’
Transient transfections and siRNA treatments
For transient expression of plasmids, approximately 150,000 cells were seeded per well of a 6-well dish and allowed to adhere overnight prior to transfection. The next day, 30–100 ng of plasmid DNA was transfected using Lipofectamine 3000 (ThermoFisher Scientific) according to the manufacturer’s instructions for 5–8 hours. Cells were then passaged to microscope dishes and allowed to adhere overnight prior to imaging.
For siRNA treatments, approximately 150,000 cells were seeded per well of a 6-well dish and allowed to adhere overnight prior to transfection. The next day, Lipofectamine RNAiMAX (ThermoFisher Scientific) and the indicated siRNA oligonucleotides (20 nM) were applied to the cells according to the manufacturer’s instructions. Cells were incubated for 24 hours, dissociated with trypsin, diluted 1:2 to new dishes, allowed to recover for 24 hours, and re-transfected for 5 hours with RNAiMAX and siRNA oligonucleotides (20nM). Cells were then passaged to glass-bottom microscope dishes or standard growth dishes and incubated ~24 hours before imaging or Western analysis.
Whole-cell lysates and Western analysis
To prepare whole-cell lysates, cells were dissociated with trypsin, washed once with DPBS, and lysed in 1X RIPA buffer (150mM NaCl, 50mM Tris HCl pH 7.5, 1% sodium deoxycholate, 0.1% SDS, 1% NP-40, 1mM EDTA) supplemented with 1X protease-inhibitor cocktail (539131; MilliporeSigma). Protein concentration was determined using a BCA assay (BioRad) and normalized between samples prior to adding 6X Laemmli buffer [6% SDS (w/v). 21.6% glycerol (v/v), 0.18M Tris HCl, pH 6.8, 0.01% bromophenol blue (w/v), and 10% β-mercaptoethanol (v/v)] to a final concentration of 1X. Samples were heated for 5 minutes at 95°C (60°C for MCU blot) and lysate was resolved on Tris-Glycine polyacrylamide gels. After electrophoresis, proteins were transferred to PVDF membranes (0.45μm pore size) and immunoblotted with the following primary antibodies (mouse anti-MIC60 [110329; Abcam], rabbit anti-MYO19 [ab174286; Abcam], rabbit anti-MCU [14997; Cell Signaling Technology], mouse anti-GAPDH [60004-1-Ig; Proteintech], mouse anti-Tubulin [66031-1-Ig; ProteinTech]). The appropriate secondary antibodies (anti-rabbit DyLight800 [SA5-35571; ThermoFisher Scientific], or goat anti-mouse DyLight680 [35568; ThermoFisher Scientific]) were used and images were acquired with a ChemiDoc MP Imaging System (BioRad).
Immunofluorescence staining
For all immunofluorescence assays, ~50,000–100,000 cells were plated on glass-bottom cover dishes (CellVis D35-14-1.5-N). Where indicated, glass-bottom dishes were first coated with 1 mL of 0.05 mg/mL bovine Collagen I (354231; Corning) or 200 μL of 0.015 mg/mL mouse Collagen IV (354233; Corning) for 1 hour. Collagen was aspirated and dishes were allowed to dry for at least 15–20 minutes. Adherent cells were fixed in 4% paraformaldehyde in PBS (15 min, room temperature), except for ATP5F1A labeling, where cells were fixed with ice cold methanol, and tubulin labeling, where cells were fixed with 4% paraformaldehyde / 0.5% glutaraldehyde in PBS. Where indicated, cells were incubated with a 1:100 dilution of WGA-CF405s (290271; Biotium) in Hank’s Balanced Salt Solution (SigmaAldrich) for 30 minutes to label the PM. Cells were then permeabilized (0.1% Triton X-100 in PBS) for 5 minutes and incubated in blocking solution (10% FBS and 0.1% Triton X-100 in PBS) for 30 minutes. Cells were then incubated for 30 minutes at room temperature or overnight at 4°C with the indicated primary antibodies diluted 1:100–1:400 in blocking solution (mouse IgG1 anti-MIC60 [110329; Abcam], mouse IgG2a anti-TIMM23 [611222; BD Biosciences], mouse IgG2α anti-TOMM20 [sc17764; Santa Cruz Biotechnology], rabbit anti-APOOL (MIC27) [PA5-51427; ThermoFisher Scientific], rabbit anti-CHCHD3 (MIC19) [HPA042935; Atlas Antibodies], rabbit anti-DNAJC11 [ab183518; Abcam], rabbit anti-SAMM50 [HPA034537; Atlas Antibodies], rabbit anti-SLC25A5 [HPA046835; Atlas Antibodies], rabbit anti-NDUFB8 [14794-1-AP; Proteintech], mouse IgG1 anti-UQCRFS1 [sc-271609; Santa Cruz Biotechnology], mouse IgG1 anti-COX4I1 [66110-1-Ig; Proteintech], rabbit anti-ATP5F1A [ab128743; Abcam], rabbit anti-PDH E1 Alpha [18068-1-AP; Proteintech], rabbit anti-OGDH [15212-1-AP; Proteintech], rabbit anti-HSP60 [15282-1-AP; Proteintech], rabbit anti-MCU [14997; Cell Signaling Technology], mouse IgG2α anti-dsDNA [ab27156; Abcam], rabbit anti-MYO19 [ab174286; Abcam], rabbit anti-MAVS [24930; Cell Signaling Technology], mouse IgG2a anti-SDHA [sc166947; Santa Cruz Biotechnology], rabbit anti-calnexin [ab22595; Abcam], mouse anti-tubulin [66031-1-Ig; Proteintech]). For actin labeling, cells were stained with a 1:40 dilution of phalloidin CF488A (00042; Biotium). Cells were then washed with PBS several times, and then incubated with one or more of the following secondary antibodies in blocking solution for 30 minutes (Donkey anti-rabbit Alexa 488 [A21206; Fisher Scientific], Donkey anti-mouse Alexa Fluor 488 [A21202; Fisher Scientific], Donkey anti-rabbit Alexa Fluor 555 [A31572; Fisher Scientific], Donkey anti-mouse Alexa Fluor 555 [A31570; Fisher Scientific], Donkey anti-rabbit Alexa Fluor Plus 647 [PIA32795; ThermoFisher Scientific], Goat anti-mouse IgG1 Alexa Fluor 488 [A21121; Fisher Scientific], or Goat anti-mouse IgG2a Alexa Fluor 555 [A21137; Fisher Scientific]). Where indicated, cells were then stained with a 1:1000 dilution of DAPI (62248; ThermoFisher Scientific) in PBS for 10 minutes. Cells were then washed with PBS several times prior to imaging.
Confocal microscopy
Except where indicated below for cell migration analysis, all images were acquired on a Nikon Ti2 microscope equipped with a Yokogawa CSU-W1 spinning disk confocal, a Hamamatsu Orca-Fusion sCMOS camera, and a Nikon 100x (1.45 NA) objective. For live cell imaging, cells were maintained in an environmental chamber and incubated at 37°C, 5% CO2. All images were acquired using Nikon Elements. All z-series images were acquired with a 0.2 μm-step size. Image analysis (detailed below), maximum intensity projections, and other image adjustments were made with ImageJ/Fiji. Linescans were generated using a slightly modified version of the RGB Profiles Tool macro (https://imagej.nih.gov/ij/macros/tools/RGBProfilesTool.txt) in ImageJ/Fiji.
Holotomography microscopy
For holotomography imaging, ~50,000 cells were seeded on glass-bottom dishes (CellVis) and allowed to adhere overnight. Images were acquired on an HT-X1 imager (Tomocube). Cells were maintained in an environmental chamber and incubated at 37°C, 5% CO2. Cells were imaged for 60 minutes at a time-interval of 60 seconds between consecutive frames, using a 40× 0.95NA objective. 3D image data was exported as a multi-layer TIFF and the relevant z-position was extracted with ImageJ/Fiji.
Immunofluorescence analysis and quantification
METEOR identification and Fluorescence Intensity Ratio quantification:
Fixed cells were co-immunolabeled as described above with a control MICOS antibody (mouse anti-MIC60 or rabbit anti-MIC19 labeled with a secondary antibody conjugated to Alexa Fluor 488 (AF488)) along with a primary antibody targeting a query protein labeled with a secondary antibody conjugated to Alexa Fluor 555 (AF555). Z-series images were acquired for at least two independent experiments for each antibody, and maximum intensity projection images were analyzed. Mitochondria that were qualitatively MICOS-enriched were identified in AF488-labeled images blind to the AF555 signal for the query protein. Regions of interest (ROIs) tightly cropped to the MICOS-AF488 enriched-site (ROIMETEOR) and a corresponding well-resolved mitochondria in the cell periphery (ROIperiphery) were identified. The maximum fluorescence intensities of the AF555 signal in the ROIMETEOR and ROIperiphery were determined, and the ratio between the two was computed to determine the Fluorescence Intensity Ratio of the query protein. The number of METEORs analyzed for each antibody is displayed in the corresponding figure legends. To quantify MIC60-AF555 enrichment, MIC19-AF488 was used to blindly identify METEORs.
The Fluorescence Intensity Ratio of MIC60 at METEORs was 2-fold or greater at 95% of sites (see Figure 1E). Therefore, we used a cutoff of 2-fold MIC60 enrichment to define METEOR sites in subsequent experiments, including determining the number of METEORs per cell, determining the proximity of METEORs to the PM, determining whether mitochondria in filopodia were METEORs, and assessing the presence of mtDNA. To exclude examples of non-specific MIC60 labeling, METEORs were operationally defined as positive for a second mitochondrial protein (i.e. TIMM23). Image analysis of knockdown or treated cells was always performed blind to sample identity.
Analysis of filopodia length, density, and presence of mitochondria:
The percentage of filopodia which contain mitochondria was determined by labeling cells with WGA-CF405 and immunolabeling TIMM23 and MIC60, and manually counting the filopodia in each cell and the number of filopodia that contain mitochondria. The length and density of filopodia was measured manually with ImageJ/Fiji. To determine filopodia density, the number of filopodia relative to the cell perimeter measured in microns was determined for the portion of individual cells that were not in contact with other cells. To compare the length of filopodia containing mitochondria compared to those absent of mitochondria, the length of an immediately adjacent filopodium was measured. In all cases, identity of images was blinded prior to analysis.
Analysis of mitochondrial distribution and morphology:
To determine mitochondrial distribution in control versus MYO19-depleted cells, we examined cells stained with WGA-CF405S and immunolabeled with TIMM23. ImageJ/Fiji was used to manually calculate the distance from the center of the nucleus to the most peripheral mitochondrion in that cell, and the distance from the same point in the nucleus to the position of the PM nearest to the mitochondrion. The ratio between the two distances was then calculated for the indicated number of individual cells per condition as described in legends. To determine mitochondrial morphology, images were categorized as indicated in legends. In the case of both measurements, sample identity was blinded prior to analysis.
Analysis of mitochondrial membrane potential
For analysis of mitochondrial membrane potential, cells were first transiently transfected with PM-TagBFP as described above. Adherent cells were treated with 200 nM MitoTracker Green (ThermoFisher Scientific M7514) for 30 minutes, washed with complete media, and then treated with 50–100 nM TMRE (ThermoFisher Scientific T669) for 15 minutes. Cells were washed and media was replaced with Fluorobrite DMEM (ThermoFisher Scientific A1896701) supplemented with 10% FBS prior to imaging by confocal microscopy. To determine the fluorescence ratio of TMRE in filopodia versus cell peripheral mitochondria, maximum intensity projections were made, excluding image planes with non-specific staining of the microscope dish. Mitochondria in filopodia and the cell periphery were identified with MitoTracker Green, and the ratio of the background-subtracted maximum fluorescence intensity of the TMRE staining at each mitochondrion was determined. As a control, PM-TagBFP transfected cells were labeled as described above and imaged prior to and after 45 minutes treatment with 10 μM CCCP (Sigma-Aldrich C2759). Individual mitochondria in the cell periphery were identified with MitoTracker Green and the ratio of the background-subtracted maximum fluorescence intensity of TMRE signal post-treatment relative to pre-treatment was determined.
Electron microscopy and analysis of cristae density
After treatment with control siRNA or MYO19-targeted siRNA as described above, ~50,000 cells were allowed to adhere to poly-D-lysine coated glass-bottom microscope dishes (MatTek P35GC-1.5-14-C) for 24 hours. Cells were fixed with 2.5% glutaraldehyde in 0.1 M sodium cacodylate buffer and submitted to the UTSW Electron Microscopy Core Facility for processing as described previously33. Briefly, after five rinses in 0.1 M sodium cacodylate buffer, cells were post-fixed in 1% osmium tetroxide and 0.8 % K3[Fe(CN)6] in 0.1 M sodium cacodylate buffer for 1h at 4°C. Cells were kept overnight at 4°C in water, and then en bloc stained with 2% aqueous uranyl acetate in the dark at room temperature. After five rinses with water, specimens were dehydrated with increasing concentration of ethanol at room temperature, infiltrated with a ratio of 2:1 ethanol to Embed-812 resin, followed by a 1:2 solution of ethanol to resin, followed by pure resin, and then polymerized in a 60°C oven overnight. Embed-812 discs were removed from MatTek plastic housing by submerging the dish in liquid nitrogen. Pieces of the disc were glued to blanks with super glue and blocks were sectioned with a diamond knife (Diatome) on a Leica Ultracut UCT (7) ultramicrotome (Leica Microsystems) and collected onto copper grids and post-stained with 2% uranyl acetate in water and lead citrate. Images were acquired on a JEM-1400 Plus transmission electron microscope equipped with a LaB6 source operated at 120 kV using an AMT-BioSprint 16M CCD camera. Images were blinded post-acquisition prior to analysis. Approximately 3–5 well-resolved mitochondrial profiles were analyzed per tomograph, and 3–5 tomographs were analyzed per cell. The ratio of the number of cristae per mitochondrial profile to the perimeter of the mitochondrial profile was determined using Fiji/ImageJ and manually computed.
Analysis of cell migration
For all cell migration assays, cells were treated as indicated and ~6,000 cells were seeded per well of an 8-well μ-slide high glass bottom chamber dish (ibidi 80807) and allowed to adhere overnight. Where indicated, each well was first coated with 300 μL of 0.05 mg/mL collagen I for 1 hour, or pre-coated Collagen IV coated dishes were used (ibidi 80802). Cells were then treated with Hoechst dye diluted 1:40,000 in complete media and imaged immediately with a Nikon Eclipse Ti epifluorescence microscope equipped with an ANDOR Zyla sCMOS camera, a Nikon 20x (0.75 NA) air objective, and an environmental chamber (37°C, 5% CO2). Single plane images were acquired at an interval of 5 minutes, for 210 minutes, using Micro-Manager. Images were analyzed using the batch and track packages from IMARIS 10.1.0 (Oxford Instruments). Cells were identified from background-subtracted Hoechst images using an estimated diameter of 11 μm. A “quality threshold” was set at approximately 10% to remove non-specific staining. Images were also manually adjusted, where appropriate, to include cells missed by the algorithm. To track cells, autoregressive motion with a maximum distance of 10 μm per frame and a gap size of 2 frames was used. After analysis, data for displacement length (the distance between the starting and ending positions of a cell) and time since track start (the number of frames a cell was successfully tracked for) were extracted. Displacement rate was calculated by creating a ratio of displacement length over the calculated track duration and was plotted for individual cells as indicated in legends.
Quantification and Statistical Analysis
Statistical analyses were performed using Graph Pad Prism 10.1.2. Statistical details and the specific statistical test used can be found for each experiment within the figure legends.
Supplementary Material
Video S1. Timelapse microscopy of stable MIC27 enrichment at the tip of a dynamic mitochondrion. Related to Figure 1. A video of timelapse microscopy images of a mitochondrion transiently transfected with TIMM50-mCherry (magenta) and MIC27-GFP (green). Images are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 1F (top panel). Scale bar: 3 μm.
Video S2. Timelapse microscopy of dynamic MIC27 redistribution at the tip of a METEOR. Related to Figure 1. A video of timelapse microscopy images of a cell transiently transfected with TIMM50-mCherry (magenta) and MIC27-GFP (green). Images are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 1F (middle panel) and Figure S1D. Scale bar: 3 μm.
Video S3. Timelapse microscopy of a MIC27-labeled METEOR that undergoes fission. Related to Figure 1. A video of timelapse microscopy images of a cell transiently transfected with TIMM50-mCherry (magenta) and MIC27-GFP (green). Images are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 1F (bottom panel). Scale bar: 3 μm.
Video S4. Timelapse microscopy of a METEOR that dynamically localizes to a growing plasma membrane extension. Related to Figure 2. A montage of timelapse microscopy images of a cell transiently expressing TIMM50-mCherry (magenta), MIC27-GFP (green), and PM-TagBFP (gray). Images shown are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 2C (top panel). Scale bar: 3 μm.
Video S5. Timelapse microscopy of a METEOR that dynamically moves away from the tip of a plasma membrane extension. Related to Figure 2. A montage of timelapse microscopy images of a cell transiently expressing TIMM50-mCherry (magenta), MIC27-GFP (green), and PM-TagBFP (gray). Images shown are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 2C (bottom panel). Scale bar: 3 μm.
Video S6. A comparison of motility of cells plated on uncoated or collagen-coated microscopy dishes. Related to Figure 5. A montage of timelapse brightfield microscopy images of U2OS cells grown on uncoated dishes (left) or collagen-coated dishes (right) at the indicated time intervals. The video corresponds to images shown in Figure 5A. Scale bar: 100 μm.
Video S7. A comparison of motility of control siRNA treated cells or cells depleted of MYO19. Related to Figure 5. A montage of timelapse brightfield microscopy images of U2OS cells treated with control siRNA (left) or MYO19-targeting siRNA (right) at the indicated time intervals. The video corresponds to images shown in Figure 5G. Scale bar: 100 μm.
Video S8. A comparison of motility of control siRNA treated cells or cells depleted of MIC60. Related to Figure 5. A montage of timelapse brightfield microscopy images of U2OS cells treated with control siRNA (left) or MIC60-targeting siRNA (right) at the indicated time intervals. The video corresponds to images shown in Figure 5I. Scale bar: 100 μm.
Key resources table
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| Antibodies | ||
| Rabbit polyclonal GAPDH | Proteintech | Cat#10494-1-AP; RRID:AB_2263076 |
| Mouse monoclonal MIC60 | Abcam | Cat#110329; RRID:AB_10859613 |
| Rabbit polyclonal MIC27 | Thermo Fisher Scientific | Cat#PA5-51427; RRID:AB_2638093 |
| Mouse monoclonal TIMM23 | BD Biosciences | Cat#611222; RRID:AB_398754 |
| Mouse monoclonal dsDNA | Abcam | Cat#ab27156; RRID:AB_470907 |
| Mouse monoclonal HSP60 | Proteintech | Cat#66041-1-Ig; RRID:AB_11041709 |
| Rabbit polyclonal HSP60 | Proteintech | Cat#15282-1-AP; RRID:AB_2121440 |
| Mouse monoclonal TOMM20 | Santa Cruz Biotechnology | CAT#sc-17764; RRID:AB_628381 |
| Rabbit polyclonal MIC19 | Atlas Antibodies | Cat#HPA042935; RRID:AB_10794538 |
| Rabbit polyclonal DNAJC11 | Abcam | Cat#ab183518; RRID:AB_2110143 |
| Rabbit polyclonal SAMM50 | Atlas Antibodies | Cat#HPA034537; RRID:AB_10602794 |
| Rabbit polyclonal SLC25A5 | Atlas Antibodies | Cat#HPA046835; RRID:AB_2679831 |
| Rabbit polyclonal NDUFB8 | Proteintech | Cat#14794-1-AP; RRID:AB_2150970 |
| Mouse monoclonal UQCRFS1 | Santa Cruz Biotechnology | Cat#sc-271609; RRID:AB_10655682 |
| Mouse monoclonal COX4I1 | Proteintech | Cat# 66110-1-Ig; RRID:AB_28881509 |
| Rabbit polyclonal ATP5F1A | Abcam | Cat#ab128743; RRID:AB_2810299 |
| Rabbit polyclonal PDH E1 Alpha | Proteintech | Cat#18068-1-AP; RRID:AB_2162931 |
| Rabbit polyclonal OGDH | Proteintech | Cat#15212-1-AP; RRID:AB_2156759 |
| Rabbit polyclonal MCU | Cell Signaling Technology | Cat#14997; RRID:AB_2721812 |
| Mouse monoclonal dsDNA | Abcam | Cat#ab27156; RRID:AB_470907 |
| Rabbit polyclonal MYO19 | Abcam | Cat#ab174286; RRID: N/A |
| Rabbit polyclonal MAVS | Cell Signaling Technology | Cat#24930; RRID:AB_2798889 |
| Mouse monoclonal SDHA | Santa Cruz Biotechnology | Cat#sc166947; RRID:AB_10610526 |
| Rabbit polyclonal Calnexin | Abcam | Cat#ab22595; RRID:AB_2069006 |
| Mouse monoclonal Tubulin | Proteintech | Cat#66031-1-Ig; RRID:AB_2883483 |
| Goat anti-mouse secondary conjugated to DyLight680 | Thermo Fisher Scientific | Cat#35518; RRID:AB_614942 |
| Goat anti-rabbit secondary conjugated to DyLight800 | Thermo Fisher Scientific | Cat#SA5-35571; RRID:AB_2556775 |
| Donkey anti-rabbit Alexa Fluor 488 | Thermo Fisher Scientific | Cat#A21206; RRID:AB_2535792 |
| Donkey anti-mouse Alexa Fluor 488 | Thermo Fisher Scientific | Cat#A21202; RRID:AB_557808 |
| Goat anti-mouse IgG1 Alexa Fluor 488 | Thermo Fisher Scientific | Cat#A21121; RRID:AB_2535764 |
| Donkey anti-rabbit Alexa Fluor 555 | Thermo Fisher Scientific | Cat#A-31572; RRID:AB_162543 |
| Donkey anti-mouse Alexa Fluor 555 | Thermo Fisher Scientific | Cat#A-31570; RRID:AB_2536180 |
| Goat anti-mouse IgG2a Alexa Fluor 555 | Thermo Fisher Scientific | Cat#A21137 RRID:AB_2535776 |
| Donkey anti-rabbit Alexa Fluor 647 Plus | Thermo Fisher Scientific | Cat#A32795; RRID:AB_2762835 |
| Donkey anti-mouse Alexa Fluor 647 | Thermo Fisher Scientific | Cat#A-31571; RRID:AB_162542 |
| Chemicals, peptides, and recombinant proteins | ||
| DMEM | Sigma-Aldrich | Cat#D5796 |
| Fetal bovine serum | Sigma-Aldrich | Cat#F0926 |
| HEPES for cell culture | Sigma-Aldrich | Cat#H0887 |
| Penicillin-Streptomycin | Sigma-Aldrich | Cat#P4333 |
| Galactose | Sigma-Aldrich | Cat#G5388 |
| Glucose-free DMEM | Thermo Fisher Scientific | Cat#11966025 |
| Bovine serum albumin | Cytvia | Cat#SH30574 |
| Lipofectamine 3000 | Thermo Fisher Scientific | Cat#L3000015 |
| Lipofectamine RNAiMAX | Thermo Fisher Scientific | Cat#13778150 |
| H2O2 | Thermo Fisher Scientific | Cat#H325 |
| Protease inhibitor cocktail | Sigma-Aldrich | Cat#539131 |
| Collagen I | Thermo Fisher Scientific | Cat#CB-40231 |
| Collagen IV | Thermo Fisher Scientific | Cat#CB-40233 |
| Triton X-100 | Thermo Fisher Scientific | Cat#28314 |
| CCCP | Sigma-Aldrich | Cat#C2759 |
| DAPI | Thermo Fisher Scientific | Cat#62248 |
| MitoTracker Green | Thermo Fisher Scientific | Cat#M7514 |
| TMRE | Thermo Fisher Scientific | Cat#T669 |
| WGA-CF405s | Biotium | Cat#290271 |
| Fluorobrite DMEM | Thermo Fisher Scientific | Cat#A1896701 |
| Phalloidin CF488A | Biotium | Cat#00042 |
| Critical commercial assays | ||
| BCA protein assay kit | Thermo Fisher Scientific | Cat#23227 |
| Experimental models: Cell lines | ||
| Human: osteosarcoma cell line U2OS | ATCC; J. Nunnari | RRID:CVCL_0042 |
| Oligonucleotides | ||
| Silencer Select Negative Control No. 2 siRNA | Thermo Fisher Scientific | Cat#4390846 |
| Silencer Select MIC60 siRNA – 5’-GAAUGACCUAGAAACGAAtt-3’ |
Thermo Fisher Scientific | Cat#4392420-s21633 |
| Silencer Select MYO19 siRNA #1 – 5’-GGUGAAUCCUGUGACACUAtt-3’ |
Thermo Fisher Scientific | Cat#4392420-s37017 |
| Silencer Select MYO19 siRNA #2 – 5’-GCGUGUACACUGAGGAAUAtt-3’ |
Thermo Fisher Scientific | Cat#4392420-s37019 |
| Silencer Select MCU siRNA #1 – 5’-GGAAUAUGUUUAUCCAGAAtt -3’ |
Thermo Fisher Scientific | Cat#4392420-s40424 |
| Silencer Select MCU siRNA #1 – 5’- GGUUACCUGUGAUAUCUGUtt -3’ |
Thermo Fisher Scientific | Cat#4392420-s40422 |
| Recombinant DNA | ||
| MIC27-GFP | This paper | pJF68 |
| MIC27-mCherry | This paper | pJF1037 |
| MIC10-GFP | This paper | pJF15 |
| TIMM50-mCherry | Edington et al.44 | pJF1223 |
| PM-TagBFP | This paper | pJF1225 |
| PM-GFP | This paper | pJF1220 |
| MYO19-GFP | Oeding et al.65 | Addgene Cat#134988 |
| GFP-MYO10 | Berg et al.49 | Addgene Cat#135403 |
| GFP-Sec61β | Zurek et al.66 | N/A |
| Software and algorithms | ||
| ImageJ | NIH | https://imagej.net/ |
| Prism 10.1.2 | GraphPad |
http://www.graphpad.com/ RRID:SCR_002798 |
| Imaris 10.1.0 | Oxford Instruments |
http://www.bitplane.com/imaris/imaris RRID:SCR_007370 |
| Other | ||
| CellVis glass bottom dishes | Thermo Fisher Scientific | Cat#D35-14-1.5-N |
| MatTek glass bottom dishes | Thermo Fisher Scientific | Cat#P35GC-1.5-14.C |
| u-slide 8 well high glass bottom | Ibidi | Cat#80807 |
| u-slide 8 well high Collagen IV coated | Ibidi | Cat#80802 |
Highlights.
A subpopulation of mitochondria, METEORs, localize to a small subset of filopodia.
METEORs have a distinct protein composition from other mitochondria.
Filopodia that contain mitochondria are selectively longer than those without.
Elimination of mitochondria from filopodia correlates with impaired cell motility.
Acknowledgements
We thank Natalie Niemi for critical reading of the manuscript and helpful discussions. We thank Mia Hofstad for technical advice. We thank the UT Southwestern Quantitative Light Microscopy Facility (supported in part by P30CA142543 and equipment grant NIH 1S10OD028630-01) for technical support and access to microscopes. We thank Ethan Ozment and Phoebe Doss in the UT Southwestern Electron Microscopy Core Facility (supported by NIH 1S10OD021685-01A1) for sample preparation and assistance with image acquisition. This work was supported by a grant from the NIH to JF (R35GM137894).
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Declaration of Interests
The authors declare no competing interests.
References
- 1.Suomalainen A, and Nunnari J (2024). Mitochondria at the crossroads of health and disease. Cell 187, 2601–2627. 10.1016/j.cell.2024.04.037. [DOI] [PubMed] [Google Scholar]
- 2.Chandel NS (2021). Mitochondria. Cold Spring Harb Perspect Biol 13. 10.1101/cshperspect.a040543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Quintana-Cabrera R, and Scorrano L (2023). Determinants and outcomes of mitochondrial dynamics. Mol Cell 83, 857–876. 10.1016/j.molcel.2023.02.012. [DOI] [PubMed] [Google Scholar]
- 4.Kruppa AJ, and Buss F (2021). Motor proteins at the mitochondria-cytoskeleton interface. J Cell Sci 134. 10.1242/jcs.226084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Benador IY, Veliova M, Mahdaviani K, Petcherski A, Wikstrom JD, Assali EA, Acin-Perez R, Shum M, Oliveira MF, Cinti S, et al. (2018). Mitochondria Bound to Lipid Droplets Have Unique Bioenergetics, Composition, and Dynamics that Support Lipid Droplet Expansion. Cell Metab 27, 869–885 e866. 10.1016/j.cmet.2018.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lackner LL (2019). The Expanding and Unexpected Functions of Mitochondria Contact Sites. Trends Cell Biol 29, 580–590. 10.1016/j.tcb.2019.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Wurm CA, Neumann D, Lauterbach MA, Harke B, Egner A, Hell SW, and Jakobs S (2011). Nanoscale distribution of mitochondrial import receptor Tom20 is adjusted to cellular conditions and exhibits an inner-cellular gradient. Proc Natl Acad Sci USA 108, 13546–13551. 10.1073/pnas.1107553108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Monzel AS, Enriquez JA, and Picard M (2023). Multifaceted mitochondria: moving mitochondrial science beyond function and dysfunction. Nat Metab 5, 546–562. 10.1038/s42255-023-00783-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Granath-Panelo M, and Kajimura S (2024). Mitochondrial heterogeneity and adaptations to cellular needs. Nat Cell Biol 26, 674–686. 10.1038/s41556-024-01410-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Wikstrom JD, Twig G, and Shirihai OS (2009). What can mitochondrial heterogeneity tell us about mitochondrial dynamics and autophagy? Int J Biochem Cell Biol 41, 1914–1927. 10.1016/j.biocel.2009.06.006. [DOI] [PubMed] [Google Scholar]
- 11.Ryu KW, Fung TS, Baker DC, Saoi M, Park J, Febres-Aldana CA, Aly RG, Cui R, Sharma A, Fu Y, et al. (2024). Cellular ATP demand creates metabolically distinct subpopulations of mitochondria. Nature 635, 746–754. 10.1038/s41586-024-08146-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Pekkurnaz G, and Wang X (2022). Mitochondrial heterogeneity and homeostasis through the lens of a neuron. Nat Metab 4, 802–812. 10.1038/s42255-022-00594-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Garde A, Kenny IW, Kelley LC, Chi Q, Mutlu AS, Wang MC, and Sherwood DR (2022). Localized glucose import, glycolytic processing, and mitochondria generate a focused ATP burst to power basement-membrane invasion. Dev Cell 57, 732–749 e737. 10.1016/j.devcel.2022.02.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Schuler MH, Lewandowska A, Caprio GD, Skillern W, Upadhyayula S, Kirchhausen T, Shaw JM, and Cunniff B (2017). Miro1-mediated mitochondrial positioning shapes intracellular energy gradients required for cell migration. Mol Biol Cell 28, 2159–2169. 10.1091/mbc.E16-10-0741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Shneyer BI, Usaj M, Wiesel-Motiuk N, Regev R, and Henn A (2017). ROS induced distribution of mitochondria to filopodia by Myo19 depends on a class specific tryptophan in the motor domain. Sci Rep 7, 11577. 10.1038/s41598-017-11002-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Shneyer BI, Usaj M, and Henn A (2016). Myo19 is an outer mitochondrial membrane motor and effector of starvation-induced filopodia. J Cell Sci 129, 543–556. 10.1242/jcs.175349. [DOI] [PubMed] [Google Scholar]
- 17.Klecker T, and Westermann B (2021). Pathways shaping the mitochondrial inner membrane. Open Biol 11, 210238. 10.1098/rsob.210238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Mannella CA, Marko M, Penczek P, Barnard D, and Frank J (1994). The internal compartmentation of rat-liver mitochondria: tomographic study using the high-voltage transmission electron microscope. Microsc Res Tech 27, 278–283. 10.1002/jemt.1070270403. [DOI] [PubMed] [Google Scholar]
- 19.Bennett CF, Latorre-Muro P, and Puigserver P (2022). Mechanisms of mitochondrial respiratory adaptation. Nat Rev Mol Cell Biol 23, 817–835. 10.1038/s41580-022-00506-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Wolf DM, Segawa M, Kondadi AK, Anand R, Bailey ST, Reichert AS, van der Bliek AM, Shackelford DB, Liesa M, and Shirihai OS (2019). Individual cristae within the same mitochondrion display different membrane potentials and are functionally independent. EMBO J 38, e101056. 10.15252/embj.2018101056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Colina-Tenorio L, Horten P, Pfanner N, and Rampelt H (2020). Shaping the mitochondrial inner membrane in health and disease. J Intern Med. 10.1111/joim.13031. [DOI] [PubMed] [Google Scholar]
- 22.Bock-Bierbaum T, Funck K, Wollweber F, Lisicki E, von der Malsburg K, von der Malsburg A, Laborenz J, Noel JK, Hessenberger M, Jungbluth S, et al. (2022). Structural insights into crista junction formation by the Mic60-Mic19 complex. Sci Adv 8, eabo4946. 10.1126/sciadv.abo4946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Barbot M, Jans DC, Schulz C, Denkert N, Kroppen B, Hoppert M, Jakobs S, and Meinecke M (2015). Mic10 oligomerizes to bend mitochondrial inner membranes at cristae junctions. Cell Metab 21, 756–763. 10.1016/j.cmet.2015.04.006. [DOI] [PubMed] [Google Scholar]
- 24.Bohnert M, Zerbes RM, Davies KM, Muhleip AW, Rampelt H, Horvath SE, Boenke T, Kram A, Perschil I, Veenhuis M, et al. (2015). Central role of Mic10 in the mitochondrial contact site and cristae organizing system. Cell Metab 21, 747–755. 10.1016/j.cmet.2015.04.007. [DOI] [PubMed] [Google Scholar]
- 25.Mukherjee I, Ghosh M, and Meinecke M (2021). MICOS and the mitochondrial inner membrane morphology - when things get out of shape. FEBS Lett 595, 1159–1183. 10.1002/1873-3468.14089. [DOI] [PubMed] [Google Scholar]
- 26.Eramo MJ, Lisnyak V, Formosa LE, and Ryan MT (2020). The ‘mitochondrial contact site and cristae organising system’ (MICOS) in health and human disease. J Biochem 167, 243–255. 10.1093/jb/mvz111. [DOI] [PubMed] [Google Scholar]
- 27.Jenkins BC, Neikirk K, Katti P, Claypool SM, Kirabo A, McReynolds MR, and Hinton A Jr. (2024). Mitochondria in disease: changes in shapes and dynamics. Trends Biochem Sci 49, 346–360. 10.1016/j.tibs.2024.01.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Rampelt H, Zerbes RM, van der Laan M, and Pfanner N (2017). Role of the mitochondrial contact site and cristae organizing system in membrane architecture and dynamics. Biochim Biophys Acta Mol Cell Res 1864, 737–746. 10.1016/j.bbamcr.2016.05.020. [DOI] [PubMed] [Google Scholar]
- 29.Callegari S, Muller T, Schulz C, Lenz C, Jans DC, Wissel M, Opazo F, Rizzoli SO, Jakobs S, Urlaub H, et al. (2019). A MICOS-TIM22 Association Promotes Carrier Import into Human Mitochondria. J Mol Biol 431, 2835–2851. 10.1016/j.jmb.2019.05.015. [DOI] [PubMed] [Google Scholar]
- 30.Monteiro-Cardoso VF, Rochin L, Arora A, Houcine A, Jaaskelainen E, Kivela AM, Sauvanet C, Le Bars R, Marien E, Dehairs J, et al. (2022). ORP5/8 and MIB/MICOS link ER-mitochondria and intra-mitochondrial contacts for non-vesicular transport of phosphatidylserine. Cell reports 40, 111364. 10.1016/j.celrep.2022.111364. [DOI] [PubMed] [Google Scholar]
- 31.Viana MP, Levytskyy RM, Anand R, Reichert AS, and Khalimonchuk O (2021). Protease OMA1 modulates mitochondrial bioenergetics and ultrastructure through dynamic association with MICOS complex. iScience 24, 102119. 10.1016/j.isci.2021.102119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Modi S, Lopez-Domenech G, Halff EF, Covill-Cooke C, Ivankovic D, Melandri D, Arancibia-Carcamo IL, Burden JJ, Lowe AR, and Kittler JT (2019). Miro clusters regulate ER-mitochondria contact sites and link cristae organization to the mitochondrial transport machinery. Nat Commun 10, 4399. 10.1038/s41467-019-12382-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gok MO, Connor OM, Wang X, Menezes CJ, Llamas CB, Mishra P, and Friedman JR (2023). The outer mitochondrial membrane protein TMEM11 demarcates spatially restricted BNIP3/BNIP3L-mediated mitophagy. J Cell Biol 222. 10.1083/jcb.202204021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Tomar D, Thomas M, Garbincius JF, Kolmetzky DW, Salik O, Jadiya P, Joseph SK, Carpenter AC, Hajnoczky G, and Elrod JW (2023). MICU1 regulates mitochondrial cristae structure and function independently of the mitochondrial Ca(2+) uniporter channel. Sci Signal 16, eabi8948. 10.1126/scisignal.abi8948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Huynen MA, Muhlmeister M, Gotthardt K, Guerrero-Castillo S, and Brandt U (2016). Evolution and structural organization of the mitochondrial contact site (MICOS) complex and the mitochondrial intermembrane space bridging (MIB) complex. Biochim Biophys Acta 1863, 91–101. 10.1016/j.bbamcr.2015.10.009. [DOI] [PubMed] [Google Scholar]
- 36.Ott C, Ross K, Straub S, Thiede B, Götz M, Goosmann C, Krischke M, Mueller MJ, Krohne G, Rudel T, and Kozjak-Pavlovic V (2012). Sam50 functions in mitochondrial intermembrane space bridging and biogenesis of respiratory complexes. Mol. Cell. Biol 32, 1173–1188. 10.1128/MCB.06388-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kumar A, Gok MO, Nguyen KN, Connor OM, Reese ML, Wideman JG, Munoz-Gomez SA, and Friedman JR (2024). A dynamin superfamily-like pseudoenzyme coordinates with MICOS to promote cristae architecture. Curr Biol. 10.1016/j.cub.2024.04.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Jans DC, Wurm CA, Riedel D, Wenzel D, Stagge F, Deckers M, Rehling P, and Jakobs S (2013). STED super-resolution microscopy reveals an array of MINOS clusters along human mitochondria. Proc Natl Acad Sci USA 110, 8936–8941. 10.1073/pnas.1301820110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Stephan T, Bruser C, Deckers M, Steyer AM, Balzarotti F, Barbot M, Behr TS, Heim G, Hubner W, Ilgen P, et al. (2020). MICOS assembly controls mitochondrial inner membrane remodeling and crista junction redistribution to mediate cristae formation. EMBO J 39, e104105. 10.15252/embj.2019104105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Palmer CS, Lou J, Kouskousis B, Pandzic E, Anderson AJ, Kang Y, Hinde E, and Stojanovski D (2021). Super-resolution microscopy reveals the arrangement of inner membrane protein complexes in mammalian mitochondria. J Cell Sci 134. 10.1242/jcs.252197. [DOI] [PubMed] [Google Scholar]
- 41.den Brave F, Schulte U, Fakler B, Pfanner N, and Becker T (2023). Mitochondrial complexome and import network. Trends Cell Biol. 10.1016/j.tcb.2023.10.004. [DOI] [PubMed] [Google Scholar]
- 42.Konig T, Nolte H, Aaltonen MJ, Tatsuta T, Krols M, Stroh T, Langer T, and McBride HM (2021). MIROs and DRP1 drive mitochondrial-derived vesicle biogenesis and promote quality control. Nat Cell Biol 23, 1271–1286. 10.1038/s41556-021-00798-4. [DOI] [PubMed] [Google Scholar]
- 43.Konig T, and McBride HM (2024). Mitochondrial-derived vesicles in metabolism, disease, and aging. Cell Metab 36, 21–35. 10.1016/j.cmet.2023.11.014. [DOI] [PubMed] [Google Scholar]
- 44.Edington AR, Connor OM, Love AC, Marlar-Pavey M, and Friedman JR (2025). Functionally conserved inner mitochondrial membrane proteins CCDC51 and Mdm33 demarcate a subset of fission events. J Cell Biol 224. 10.1083/jcb.202403140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Teruel MN, Blanpied TA, Shen K, Augustine GJ, and Meyer T (1999). A versatile microporation technique for the transfection of cultured CNS neurons. J Neurosci Methods 93, 37–48. 10.1016/s0165-0270(99)00112-0. [DOI] [PubMed] [Google Scholar]
- 46.Sandoz PA, Tremblay C, van der Goot FG, and Frechin M (2019). Image-based analysis of living mammalian cells using label-free 3D refractive index maps reveals new organelle dynamics and dry mass flux. PLoS Biol 17, e3000553. 10.1371/journal.pbio.3000553. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Blake TCA, and Gallop JL (2023). Filopodia In Vitro and In Vivo. Annu Rev Cell Dev Biol 39, 307–329. 10.1146/annurev-cellbio-020223-025210. [DOI] [PubMed] [Google Scholar]
- 48.Jacquemet G, Hamidi H, and Ivaska J (2015). Filopodia in cell adhesion, 3D migration and cancer cell invasion. Curr Opin Cell Biol 36, 23–31. 10.1016/j.ceb.2015.06.007. [DOI] [PubMed] [Google Scholar]
- 49.Berg JS, and Cheney RE (2002). Myosin-X is an unconventional myosin that undergoes intrafilopodial motility. Nat Cell Biol 4, 246–250. 10.1038/ncb762. [DOI] [PubMed] [Google Scholar]
- 50.Shi P, Ren X, Meng J, Kang C, Wu Y, Rong Y, Zhao S, Jiang Z, Liang L, He W, et al. (2022). Mechanical instability generated by Myosin 19 contributes to mitochondria cristae architecture and OXPHOS. Nat Commun 13, 2673. 10.1038/s41467-022-30431-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Coscia SM, Thompson CP, Tang Q, Baltrusaitis EE, Rhodenhiser JA, Quintero-Carmona OA, Ostap EM, Lakadamyali M, and Holzbaur ELF (2023). Myo19 tethers mitochondria to endoplasmic reticulum-associated actin to promote mitochondrial fission. J Cell Sci 136. 10.1242/jcs.260612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Quintero OA, DiVito MM, Adikes RC, Kortan MB, Case LB, Lier AJ, Panaretos NS, Slater SQ, Rengarajan M, Feliu M, and Cheney RE (2009). Human Myo19 is a novel myosin that associates with mitochondria. Curr Biol 19, 2008–2013. 10.1016/j.cub.2009.10.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Majstrowicz K, Honnert U, Nikolaus P, Schwarz V, Oeding SJ, Hemkemeyer SA, and Bahler M (2021). Coordination of mitochondrial and cellular dynamics by the actin-based motor Myo19. J Cell Sci 134. 10.1242/jcs.255844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Rohn JL, Patel JV, Neumann B, Bulkescher J, McHedlishvili N, McMullan RC, Quintero OA, Ellenberg J, and Baum B (2014). Myo19 ensures symmetric partitioning of mitochondria and coupling of mitochondrial segregation to cell division. Curr Biol 24, 2598–2605. 10.1016/j.cub.2014.09.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Ott C, Dorsch E, Fraunholz M, Straub S, and Kozjak-Pavlovic V (2015). Detailed analysis of the human mitochondrial contact site complex indicate a hierarchy of subunits. PLoS One 10, e0120213. 10.1371/journal.pone.0120213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Friedman JR, Webster BM, Mastronarde DN, Verhey KJ, and Voeltz GK (2010). ER sliding dynamics and ER-mitochondrial contacts occur on acetylated microtubules. J Cell Biol 190, 363–375. 10.1083/jcb.200911024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Jiao H, Jiang D, Hu X, Du W, Ji L, Yang Y, Li X, Sho T, Wang X, Li Y, et al. (2021). Mitocytosis, a migrasome-mediated mitochondrial quality-control process. Cell 184, 2896–2910 e2813. 10.1016/j.cell.2021.04.027. [DOI] [PubMed] [Google Scholar]
- 58.Poudel B, Kim DK, Ki HH, Kwon YB, Lee YM, and Kim DK (2014). Downregulation of ERK signaling impairs U2OS osteosarcoma cell migration in collagen matrix by suppressing MMP9 production. Oncol Lett 7, 215–218. 10.3892/ol.2013.1655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.SenGupta S, Parent CA, and Bear JE (2021). The principles of directed cell migration. Nat Rev Mol Cell Biol 22, 529–547. 10.1038/s41580-021-00366-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Cunniff B, McKenzie AJ, Heintz NH, and Howe AK (2016). AMPK activity regulates trafficking of mitochondria to the leading edge during cell migration and matrix invasion. Mol Biol Cell 27, 2662–2674. 10.1091/mbc.E16-05-0286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Desai SP, Bhatia SN, Toner M, and Irimia D (2013). Mitochondrial localization and the persistent migration of epithelial cancer cells. Biophys J 104, 2077–2088. 10.1016/j.bpj.2013.03.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Gomez TM, Robles E, Poo M, and Spitzer NC (2001). Filopodial calcium transients promote substrate-dependent growth cone turning. Science 291, 1983–1987. 10.1126/science.1056490. [DOI] [PubMed] [Google Scholar]
- 63.Efremov AK, Yao M, Sun Y, Tee YH, Sheetz MP, Bershadsky AD, Martinac B, and Yan J (2022). Application of piconewton forces to individual filopodia reveals mechanosensory role of L-type Ca(2+) channels. Biomaterials 284, 121477. 10.1016/j.biomaterials.2022.121477. [DOI] [PubMed] [Google Scholar]
- 64.Jacquemet G, Baghirov H, Georgiadou M, Sihto H, Peuhu E, Cettour-Janet P, He T, Perala M, Kronqvist P, Joensuu H, and Ivaska J (2016). L-type calcium channels regulate filopodia stability and cancer cell invasion downstream of integrin signalling. Nat Commun 7, 13297. 10.1038/ncomms13297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Oeding SJ, Majstrowicz K, Hu XP, Schwarz V, Freitag A, Honnert U, Nikolaus P, and Bahler M (2018). Identification of Miro1 and Miro2 as mitochondrial receptors for myosin XIX. J Cell Sci 131. 10.1242/jcs.219469. [DOI] [PubMed] [Google Scholar]
- 66.Shibata Y, Voss C, Rist JM, Hu J, Rapoport TA, Prinz WA, and Voeltz GK (2008). The reticulon and DP1/Yop1p proteins form immobile oligomers in the tubular endoplasmic reticulum. J Biol Chem 283, 18892–18904. 10.1074/jbc.M800986200. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Video S1. Timelapse microscopy of stable MIC27 enrichment at the tip of a dynamic mitochondrion. Related to Figure 1. A video of timelapse microscopy images of a mitochondrion transiently transfected with TIMM50-mCherry (magenta) and MIC27-GFP (green). Images are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 1F (top panel). Scale bar: 3 μm.
Video S2. Timelapse microscopy of dynamic MIC27 redistribution at the tip of a METEOR. Related to Figure 1. A video of timelapse microscopy images of a cell transiently transfected with TIMM50-mCherry (magenta) and MIC27-GFP (green). Images are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 1F (middle panel) and Figure S1D. Scale bar: 3 μm.
Video S3. Timelapse microscopy of a MIC27-labeled METEOR that undergoes fission. Related to Figure 1. A video of timelapse microscopy images of a cell transiently transfected with TIMM50-mCherry (magenta) and MIC27-GFP (green). Images are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 1F (bottom panel). Scale bar: 3 μm.
Video S4. Timelapse microscopy of a METEOR that dynamically localizes to a growing plasma membrane extension. Related to Figure 2. A montage of timelapse microscopy images of a cell transiently expressing TIMM50-mCherry (magenta), MIC27-GFP (green), and PM-TagBFP (gray). Images shown are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 2C (top panel). Scale bar: 3 μm.
Video S5. Timelapse microscopy of a METEOR that dynamically moves away from the tip of a plasma membrane extension. Related to Figure 2. A montage of timelapse microscopy images of a cell transiently expressing TIMM50-mCherry (magenta), MIC27-GFP (green), and PM-TagBFP (gray). Images shown are single confocal planes captured at the indicated time intervals. Still images are shown in Figure 2C (bottom panel). Scale bar: 3 μm.
Video S6. A comparison of motility of cells plated on uncoated or collagen-coated microscopy dishes. Related to Figure 5. A montage of timelapse brightfield microscopy images of U2OS cells grown on uncoated dishes (left) or collagen-coated dishes (right) at the indicated time intervals. The video corresponds to images shown in Figure 5A. Scale bar: 100 μm.
Video S7. A comparison of motility of control siRNA treated cells or cells depleted of MYO19. Related to Figure 5. A montage of timelapse brightfield microscopy images of U2OS cells treated with control siRNA (left) or MYO19-targeting siRNA (right) at the indicated time intervals. The video corresponds to images shown in Figure 5G. Scale bar: 100 μm.
Video S8. A comparison of motility of control siRNA treated cells or cells depleted of MIC60. Related to Figure 5. A montage of timelapse brightfield microscopy images of U2OS cells treated with control siRNA (left) or MIC60-targeting siRNA (right) at the indicated time intervals. The video corresponds to images shown in Figure 5I. Scale bar: 100 μm.
Data Availability Statement
All data reported in this paper will be shared by the lead contact upon request. This study does not report original code. Any additional information required to reanalyze the data reported in this paper is available from the lead author upon request.
