Abstract
Cytoplasmic dynein is a dimeric motor that drives minus-end directed transport on microtubules (MTs). To couple ATP hydrolysis to a mechanical step, a dynein monomer must be released from the MT before undergoing a conformational change that generates a bias towards the minus end. However, the dynamics of dynein stepping have been poorly characterized by tracking flexible regions of the motor with limited resolution. Here, we developed a cysteine-light mutant of yeast dynein and site-specifically labeled its MT-binding domain in vitro. MINFLUX tracking at sub-millisecond resolution revealed that dynein hydrolyzes one ATP per step and takes multitudes of 8 nm steps at physiological ATP. Steps are preceded by the transient movement towards the plus end. We propose that these backward “dips” correspond to MT release and subsequent diffusion of the stepping monomer around its MT-bound partner before taking a minus-end-directed conformational change of its linker. Our results reveal the order of sub-millisecond events that result in a productive step of dynein.
Cytoplasmic dynein (dynein hereafter) conducts minus-end-directed transport of organelles, vesicles, signaling complexes, and mRNA, as well as driving nuclear migration and retrograde transport in neurons1. Dynein also plays central roles in mitosis, such as focusing MTs into spindle poles and pulling on astral MTs to maintain tension on the spindle. Complete knockouts of dynein stop the MT transport machinery and inhibit mitosis. Mutations that alter dynein or dynein-associated factors lead to the pathogenesis of developmental and neurological diseases2.
Dynein is built around a pair of heavy chains that comprise the tail and motor domains2 (Fig. 1a). The motor domain is a ring of six nonidentical AAA sites (AAA1–6)3 that connects to an MT binding domain (MTBD) via an antiparallel coiled-coil stalk. The two rings are connected to a common tail via the linker domains. Dynein motility is primarily driven by coupling the ATPase activity at AAA14 to conformational changes of its stalk/MTBD and linker. ATP binding triggers the release of the motor from the MT by altering the registry of stalk coiled-coils5, 6 and the bending of the linker at the surface of the AAA+ ring (priming stroke)7. After ATP hydrolysis, dynein rebinds the MT, straightens its linker (power stroke), and pulls the cargo forward8. According to this scheme, dynein must be released from the MT before the linker undergoes the priming stroke to generate a productive step2. However, the order of events during stepping could not be directly determined from the structures of dynein captured in distinct nucleotide states8–10.
Stepping of dynein monomers has been observed by labeling the AAA+ ring with a fluorophore and tracking its position using fluorescence imaging with one-nanometer accuracy (FIONA)11, 12. Dynein moves by uncoordinated stepping of its motor domains, and it frequently takes steps in sideways and backward directions on the MT11, 12. Due to the flexibility of dynein’s structure, these measurements were affected by the thermal fluctuations and different orientations of the AAA+ ring within the dimer13–16. The movement of dynein from one tubulin binding site to the next could only be observed at limited spatiotemporal resolution16 because FIONA requires ~104 photons to localize the center of the diffraction-limited image of a fluorophore with nanometer precision17. In comparison, MINFLUX requires ~100 times fewer photons for the localization by using a toroidal excitation beam18 and tracks the stepping of motors labeled with small (~1 nm in size) organic dyes at sub-millisecond temporal resolution19, 20.
To determine how dynein steps along the MT lattice, we first site-specifically labeled the MTBD of yeast dynein. The artificial dimer of yeast dynein motor domain is an ideal model system to study the intrinsic stepping of dynein since it walks processively in the absence of dynein accessory proteins and has similar stepping properties to the mammalian dynein21, 22. Based on the available structures23, 24, we identified 5 out of 39 cysteines that are more than 5Å exposed to the solvent (Extended Data Table 1) and mutated them to serine (DynCLM). We next introduced a single solvent-accessible cysteine at multiple candidate sites at or near the MTBD for fluorescence labeling (Fig. 1a, Extended Data Fig. 1). We identified a mutant (Q3231C) that was efficiently labeled compared to DynCLM in vitro (Fig. 1b, Extended Data Fig. 2a, Extended Data Table 2). We constructed a heterodimer of DynCLM via SpyCatcher-SpyTag (Fig. 1c, Extended Data Fig. 2b) and confirmed that this motor moves with similar velocity and stepping properties to wild-type (WT) dynein25 (Fig. 1d-f, Extended Data Table 2).
We next labeled motors with a single ultra-stable LD655 dye26 and tracked their motility at 3.0 nm spatial and 2.5 ms temporal resolution of MINFLUX19, 20 to determine dynein stepping behavior at physiological ATP. We confirmed that MINFLUX tracking of tail-labeled dynein exhibits stepping properties comparable to FIONA and optical trapping measurements (Extended Data Fig. 3)11, 25, 27. Trajectories exhibited large variations as the motor dwells between steps (Extended Data Fig. 3), presumably due to thermal fluctuations and conformational heterogeneity of the motor. We next tracked MTBD-labeled dynein at both limiting and saturating ATP concentrations using MINFLUX (Fig. 2a-b). We observed that dynein takes increments of 8 nm steps with ~28% of the steps taken backward (Fig. 2c-d). The periodicity of the dynein step size matches the distance between adjacent tubulin binding sites (8.2 – 8.4 nm)16. The direction and size distribution of dynein steps were unaffected by ATP concentration (Fig. 2d). Fitting the step size histogram to a normal distribution suggests that dynein has a 6 nm net bias to step towards the minus-end with a ±14 nm (s.d.) diffusional component to search for a new tubulin binding site (Extended Data Fig. 4a). Although we cannot detect a step if the monomer lifts off and rebinds to the same tubulin, the step size distribution suggests that 20% of steps are “0 nm” in size (Extended Data Fig. 4b). Dynein also frequently (46%) landed on adjacent protofilaments with nearly equal probability to step left or rightward28, 29 and these off-axis displacements were restricted to the 25 nm diameter of MTs (Fig. 2e-g, Extended Data Fig. 5).
We analyzed the kinetics of dwell times between successive steps to gain insight into the number of ATPs hydrolyzed per step. In addition to AAA1, AAA3 hydrolyzes ATP, and mutations to this site substantially slow dynein motility30. It remains controversial whether only AAA1 hydrolyzes an ATP or AAA3 hydrolyzes ATP in coordination with AAA1 to generate each step31, 32. Solution kinetics studies showed that the ATPase cycle of dynein is rate-limited by ATP binding at low ATP and ADP release at saturating ATP concentrations33. Therefore, if dynein hydrolyzes one ATP per step, stepping would be limited by a single rate constant at both limiting (ATP binding) and saturating (ADP release) ATP and by two equal rate constants at the Michaelis-Menten constant (KM) of dynein for ATP (20 µM)34 because ATP binding and ADP release rates become equal under this condition. In comparison, if AAA1 and AAA3 sequentially hydrolyze ATP to generate each step, the stepping kinetics would be limited by two rate constants even at limiting and saturating ATP. We found that the dwell time distribution of dynein fits best to a model with a single rate-limiting constant under both saturating (1 mM) and limiting (5–8 µM) ATP and with the convolution of two equal rate constants at 20 µM ATP. (Fig. 3, Extended Data Figs. 6 and 7). These results demonstrate that dynein hydrolyzes one ATP per step, consistent with MINFLUX tracking of dynein stepping in neurons22.
We noticed that the stepping monomer has a characteristic backward movement (referred to as dips) immediately before taking a step (Fig. 2a, Extended Data Fig 8a). However, only 14% of steps were preceded by a dip that typically lasts for a single frame, suggesting that these dips represent transient intermediates of dynein stepping (Extended Data Fig. 8). To detect these dips more reliably, we increased the temporal resolution of MINFLUX to 0.3 ms (Fig. 4a, Extended Data Table 4). We observed a higher fraction (35%) of steps are preceded by dips at this resolution (Fig. 4b). Dip sizes varied from 8 to 24 nm (Fig. 4c) and their lifetime was independent of ATP concentration (Fig. 4d, Extended Data Fig. 8).
We propose that the dips represent the movement of the stepping monomer towards its partner monomer after it binds ATP and releases from the MT (Fig. 4e, Extended Data Fig. 9a). Because the dynein motor domain is tilted relative to the MTBD15, the tether point connecting the two dimers is positioned towards the plus-end, resulting in backward displacement. The size of the dips may depend on the relative position of the dynein monomers (Extended Data Fig. 9b)11. The stepping monomer diffuses around the MT-bound monomer on the order of a millisecond. The transient nature and variable size of the dips provide an explanation for why we observed a third of the steps preceded by a clearly distinguishable dip. Upon ATP hydrolysis, the linker is free to transition between straight, semi-bent, and bent conformations across the ring or it partially detaches from the ring7, 9, 35. The combination of bending of the linker and the requirement of the dynein motor to bind with its stalk pointing forward creates a net bias towards the minus end15. Diffusion of the tethered monomer and different conformations of its linker may contribute to the high variability of the dynein step size (Fig. 4e, Extended Data Fig. 9c). After MT binding, the linker returns to the straight conformation, pulling the cargo forward. A recent cryo-electron microscopy study10 proposed an alternative model, where the linker straightens before MT binding, and a net bias in the step size is generated by further swinging of the linker towards AAA5 after the motor binds the MT. These possibilities can be tested by tracking the stepping of both monomers36 and observing the conformational dynamics of the linker as dynein steps along the MT.
Collectively, we used MINFLUX to obtain key insight into the stepping mechanism of dynein and detect transient conformational changes of the mechanochemical cycle of a motor on millisecond timescales, which cannot be captured by cryo-EM. The ability to site-specifically label DynCLM also enables the real-time visualization of how the AAA+ ring, stalk, and linker contribute to dynein stepping in future studies.
Materials and Methods:
Cloning and molecular biology
S. cerevisiae cytoplasmic dynein heavy chain gene (DYN1) was truncated at the N terminus (encoding amino acids 1219–4093, referred to as Dyn314kDa) as a template for mutagenesis25. An inducible galactose promoter, a tandem protein-A (ZZ) tag, a dual Tev protease site, and a glutathione-S-transferase (GST) tag were added to the N-terminus of Dyn314kDa gene by homologous recombination. The GST tag was replaced with an N-terminal SpyTag or SpyCatch for heterodimerization. The list of constructs used in this study is given in Extended Data Table 3.
The crystal structure of the S. cerevisiae dynein motor domain (PDB ID 4AKG)23 was used to analyze the accessibility of cysteine residues by PyMOL. Cysteine residues with more than 5 Å, between 2.5 – 5 Å, and less than 2.5 Å surface accessibility were classified as surface exposed, partially exposed, and buried, respectively (Extended Data Table 1). The five surface exposed residues on the dynein motor domain were mutated to serine (DynCLM). Partially exposed cysteines of dynein could not be removed as their mutagenesis substantially lowered protein expression (not shown). Surface-exposed cysteines of the GST-tag were also mutated to serine.
Protein expression, purification, and labeling
Dynein proteins were expressed in yeast. A single fresh yeast colony was used to inoculate 10 ml YP media containing 2% glucose. Cultures were grown overnight at 30°C with shaking at 200 rpm. The 100 ml YP media containing 1% raffinose was inoculated with overnight culture for ~10 h at 30°C at 200 rpm agitation until OD600 reached 0.2. The 100 ml culture was used to inoculate 1 L of YP media containing 2% galactose and 100 mg/ml adenine (Sigma) for 24–48 h at 30°C with 200 rpm agitation. Yeast was harvested by centrifugation at 5000 g for 7 min. Pellets were re-suspended in phosphate buffered saline to form a thick paste and frozen by dropwise addition in liquid nitrogen. Frozen yeast was stored at −80°C.
Frozen yeast pellets were ground and thawed in a lysis buffer (150 mM HEPES pH 7.4, 250 mM K-acetate, 10 mM Mg-acetate, 1 mM EGTA, 0.5 mM ATP-Mg2+, 5 mM DTT, 10 mM PMSF). The lysate was mixed with IgG Sepharose affinity beads and then cleaved by TEV protease as described previously25. The resulting protein was concentrated and stored in TEV storage buffer (50 mM Tris HCl pH 7.4, 100 mM KAc, 2 mM MgAc2, 1 mM EGTA, 10% glycerol, 0.2 mM TCEP, 0.1 mM ATP). The proteins were run in a denaturing gel and their concentrations were determined from OD280. 20 pmol SpyCatch dynein was then incubated with 5-fold excess maleimide reactive dyes in TEV storage buffer at room temperature for 1 h. The reaction was quenched with 1 mM DTT. After removing excess dye with a Zeba desalting column, SpyCatch was incubated with SpyTag dynein at 5:1 ratio in room temperature for 10 mins to form heterodimers. Dimerization was confirmed using a native gel and size exclusion chromatography. Fluorescence labeling was detected using a Typhoon gel image scanner. The labeling efficiency (~80% efficiency) was determined from 280 nm and 633 nm absorbance in a spectrophotometer. Purified protein was aliquoted, flash-frozen in liquid nitrogen, and stored at −80°C.
Single-molecule motility assays
Motility assays were performed in custom-made flow chambers comprised of polyethylene glycol (PEG)/PEG-biotin coated coverslips adhered to glass slides by double-sided tape37. The chamber was incubated with 10 µL 0.5 mg/mL streptavidin and washed with 40 µL DLBT buffer (30 mM HEPES pH 7.2, 2 mM MgCl2, 1 mM EGTA, 10% glycerol with added 1 mg/mL casein, 0.5% pluronic acid, and 1 µM Taxol). The chamber was then incubated with Cy3- and biotin-labeled MTs for 3 min before washing with 60 µL DLBCPT. Dynein was then diluted in DLBCPT to desired concentrations and flown into the chamber. After 3 min of incubation, the unbound motor was washed with 10 µL stepping buffer containing DLBCT, 0.8% dextrose, 0.1 mg/mL glucose oxidase, 0.2 mg/mL catalase, and desired ATP concentration. The sample was sealed and imaged for 1 h.
Microscope and imaging
Single-molecule motility assays were performed on a custom-built objective-type total internal reflection fluorescence (TIRF) microscope, equipped with an inverted Nikon Ti-E microscope body (Nikon Ti-Eclipse), perfect focusing system, and 1.45 NA 60× microscope objective. The sample was illuminated with 488, 561, and 632 nm laser beams (Coherent) to excite GFP, Cy3/Alexa555/LD555 and Cy5/Alexa647/LD655 fluorophores, respectively. Movies of LD655-labeled dynein were recorded with a 0.1 – 0.3 s exposure time under 2 mW 632 nm excitation. The fluorescence signal was detected with an electron multiplied CCD camera (Andor, iXon).
Single-molecule tracking measurements were also made on a commercial MINFLUX instrument (Abberior). The microscope is equipped with a 100× 1.4 NA oil immersion objective lens (Olympus), 642 nm excitation laser, two avalanche photodiodes (Excelitas) with a detection range of 650 – 685 nm, and a pinhole size corresponding to 0.78 airy units. The microscope was controlled by Abberior Imspector. An iterative localization approach with a hexagonal array of points was used to localize the fluorophores, as reported previously20, 38. Once the fluorophore was detected, the radius of the donut-shaped focused excitation beam (L) was decreased (284 nm, 302 nm, 151 nm, and 75 nm) and the laser power was increased (47, 47, 94, and 118 μW) in three increments. At this final step, ~100 photons were collected before localization. This final iteration was repeated continuously until the detection signal was lost due to permanent photobleaching of the dye. This procedure achieves ~2.5 ms for tracking of the LD655 dye. The parameters of the tracking algorithm were adjusted to reduce or increase the temporal resolution (Extended Data Table 4).
Data processing and analysis
Recorded TIRF movies were analyzed by a two-dimensional Gaussian fitting algorithm on a custom MATLAB software, YFIESTA available at GitHub (https://github.com/Yildiz-Lab/YFIESTA) to localize the fluorescent spots in the xy plane. All MINFLUX data were also processed, analyzed, and rendered on YFIESTA. Trajectories longer than 100 nm were detected and sorted according to a custom algorithm that relies on time autocorrelation along a linear path to determine fitness. The long axis of the trajectories was defined as the on-axis of the MT tracks. Trajectories that had acquisition frequency greater than 1 kHz suggesting multiple photon emissions, high off-axis noise due to poor MT immobilization and exhibited diffusion or poor motility were excluded from data analysis. Trajectories that passed initial screening were then fit to steps by a Schwartz Information Criterion-based step-fitting algorithm in both the on- and off-axis directions, as described previously39. Fitted trajectories were manually screened for overfitting or missed steps. Steps that were less than 3 frames were removed. If the mean positions of 8 data points before and after a step differ by less than 7.5 nm, these steps are removed by a custom algorithm to eliminate the positional drift being detected as a step. These manual corrections correspond to less than 3% of all on-axis steps. On and off-axis steps that occur within 5 frames (~12 ms) were combined into a “diagonal” step.
Analysis of dips was performed on on-axis trajectories. A custom algorithm detects the deviation of a data point more than two standard deviations (2σ) of the mean dwelling position before a detectable step. Dips were defined as 2σ deviations within 5 (~12 ms) or 20 data points (~7 ms) before a detectable step for trajectories recorded at ~2.5 or 0.28 ms temporal resolution, respectively. The dwell time of a dip was defined as the time between the beginning of a dip and the movement of the stepping monomer to the next position. The statistical significance of dips was calculated from comparing the probability of observing a −2σ deviation within ~7.2 ms (3 and 20 data points at ~2.5 and ~0.28 ms temporal resolution, respectively) around a step versus anywhere in the trajectory. The Beta distribution confirmed that −2σ deviations are not randomly distributed, and instead more likely to occur before steps with >95% confidence.
Extended Data
Extended Data Table 1 |. Characterization of cysteines in truncated dynein.
Protein | Surface exposed | Partially exposed | Buried |
---|---|---|---|
GFP | C48 | C70 | |
GST | C84 C137 C177 |
C168 | |
Dyn314kDa | C2037 C2268 C2372 C3499 C4016 |
C1405 C1663 C1718 C2210 C2220 C2724 C2892 C3141 C3206 C3324 C3684 C3704 C3959 |
C1428 C1626 C1793 C1822 C1846 C1960 C1980 C2057 C2078 C2417 C2486 C2535 C2603 C2806 C2814 C2912 C3382 C3652 C3877 C3928 C4011 |
Total | 8 | 15 | 22 |
Extended Data Table 2 |. Testing of unique cysteine for labeling DynCLM at its MTBD.
Construct Number | Construct Name | Expression Level | Average velocity (nm/s) | % processive motors landed on MTs |
---|---|---|---|---|
- | Wildtype | High | 80 | - |
1 | Q3147C | Low | 10 | >90 |
2 | H3169C | High | 80 | 50 |
3 | Q3179C | High | 70 | 50 |
4 | K3234C | - | - | - |
5 | K3242C | Medium | 50 | 50 |
6 | S3097C | Low | 100 | 25 |
7 | S3190C | Medium | 78.6 | 25 |
8 | K3182C | Medium | 73.3 | 25 |
9 | Q3211C | Medium | 76.6 | 25 |
10 | Q3231C | Medium | 80 | >90 |
11 | H3175C | Low | 83.3 | 50 |
12 | E3107C | Low | 58 | 25 |
Extended Data Table 3 |. Yeast strains used in this study.
Name | Description | Genotype | Database | Reference |
---|---|---|---|---|
WT Dynein | GFP-GST-Dyn1314kDa | MATa; his3–11,15; ura3–1; leu2–3,112; ade2-1; trp1–1; PEP4::HIS5; PRB1D pDyn-pGAL-ZZ-TEV-GFP-3XHA-GST-DYN1314kDa-gsDHA:Kan | CY31 | (Reck-Peterson et al., 2006)25 |
Tail-labeled Dynein | DHA-GST-Dyn1314kDa | MATa; his3–11,15; ura3–1; leu2–3,112; ade2-1; trp1–1; PEP4::HIS5; PRB1D pDyn-pGAL-ZZ-TEV-gsDHA-GST- DYN1314kDa | VY268 | (Reck- Peterson et al., 2006)25 |
GSTCLM- Dyn | CY1 + P354 | MATa; his3–11,15; leu2–3,112; ade2–1; trp1–1; PEP4::HIS5; PRB1D pDyn-pGAL-ZZ-TEV-GFP-3XHA-GSTC84S,C137S,C177S -D6-Dyn1314kDa-gsDHA:Kan | CY392 | This study |
DynCLM | CY1 + P372 | MATa; his3–11,15; leu2–3,112; ade2–1; trp1–1, PEP4::HIS5; PRB1D pDyn-pGAL-ZZ-TEV-GFP-3XHA-GSTC84S,C137S,C177S-Dyn1314kDa, C2037S, C2268S, C2372S, C3499S, C4016S-gsDHA:Kan | CY393 | This study |
SpyCatcher- DynCLM | CY1 + P372-SpyCatcher | MATa; his3–11,15; leu2–3,112; ade2–1; trp1–1, PEP4::HIS5; PRB1D pDyn-pGAL-ZZ-TEV-GFP-3XHA-ΔUPF1::KanMX6, SpyCatcher-Dyn1314kDa, C2037S, C2268S, C2372S, C3499S, C4016S | CY483 | This study |
SpyTag- DynCLM | CY1 + P372-SpyTag | MATa; his3–11,15; leu2–3,112; ade2–1; trp1–1, PEP4::HIS5; PRB1D pDyn-pGAL-ZZ-TEV-GFP-3XHA-ΔUPF1::KanMX6, SpyTag-Dyn1314kDa, C2037S, C2268S, C2372S, C3499S, C4016S | CY487 | This study |
GST-DynCLM Q3231C | GFP-GST- DynCLM + Q3231C | MATa; his3–11,15; leu2–3,112; ade2–1; trp1–1, PEP4::HIS5; PRB1D pDyn-pGAL-ZZ-TEV-GFP-3XHA-ΔUPF1::KanMX6,GST-C84S,C137S,C177S -Dyn1314kDa, C2037S, C2268S, C2372S, C3499S, C4016S, Q3231C | CY486 | This study |
SpyTag- DynCLM Q3231C | CY1 + P372-SpyTag- DynCLM + Q3231C | MATa; his3–11,15; leu2–3,112; ade2–1; trp1–1, PEP4::HIS5; PRB1D pDyn-pGAL-ZZ-TEV-GFP-3XHA-ΔUPF1::KanMX6,GSTC84S,C137S,C177S - Dyn1314kDa, C2037S, C2268S, C2372S, C3499S, C4016S, Q3231C | CY488 | This study |
SpyCatcher- DynCLM Q3231C | CY1 + P372-SpyCatcher- DynCLM,Q3231C | MATa; his3–11,15; leu2–3,112; ade2–1; trp1–1, PEP4::HIS5; PRB1D pDyn-pGAL-ZZ-TEV-GFP-3XHA-ΔUPF1::KanMX6, SpyCatcher-Dyn1314kDa, C2037S, C2268S, C2372S, C3499S, C4016S, Q3231C | CY489 | This study |
Extended Data Table 4 |. List of MINFLUX parameters used to track dynein at different temporal resolution.
0.28 ms temporal resolution MINFLUX tracking algorithm | |||||
---|---|---|---|---|---|
L size (nm) | 284 | 302 | 151 | 75 | 30 |
Pattern | Hexagon | Hexagon | Hexagon | Hexagon | Hexagon |
Minimum photons | 40 | 20 | 10 | 10 | 10* |
Laser power (µW) | 152 | 152 | 304 | 380 | 912 |
Minimum dwell time (µs) | 400 | 400 | 400 | 400 | 150 |
Pattern repeat | 1 | 1 | 1 | 1 | 1 |
Background threshold (kHz) | 70 | 70 | 40 | 40 | 135 |
2.5 ms temporal resolution MINFLUX tracking algorithm | |||||
L size (nm) | 284 | 302 | 151 | 75 | |
Pattern | Hexagon | Hexagon | Hexagon | Hexagon | |
Minimum photons | 40 | 20 | 10 | 100** | |
Laser power (µW) | 47 | 47 | 94 | 118 | |
Minimum dwell time (µs) | 400 | 400 | 400 | 300 | |
Pattern repeat | 1 | 1 | 1 | 3 | |
Background threshold (kHz) | 70 | 70 | 40 | 40 | |
8.3 ms temporal resolution MINFLUX tracking algorithm | |||||
L size (nm) | 284 | 302 | 151 | 75 | |
Pattern | Hexagon | Hexagon | Hexagon | Hexagon | |
Minimum photons | 40 | 20 | 10 | 100** | |
Laser power (µW) | 47 | 47 | 94 | 118 | |
Minimum dwell time (µs) | 400 | 400 | 400 | 100 | |
Pattern repeat | 1 | 1 | 1 | 3 | |
Background threshold (kHz) | 70 | 70 | 40 | 40 | |
Dead time (ms) | - | - | - | 5 |
Acknowledgements
We thank M. DeWitt and A. Yonar for preliminary work on FIONA, J. Matthias, K. Boateng, and G. Fried for technical assistance with the MINFLUX microscope in IGB at Univ. of Illinois. This work was funded by grants from the NSF Science and Technology Center for Quantitative Cell Biology (2243257 to P.R.S.), NSF (MCB-1055017 and MCB-1617028 to A.Y., and DGE 2146752 to J.S.), NIH (GM136414 to A.Y.; GM132392 to P.R.S.), and the Medical Research Council (MC_UP_A025_1011 to A.P.C.).
Footnotes
Competing Interests
The authors declare no competing interests.
References
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