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Microtubules are hollow biopolymers of 25-nm diameter and are key constituents of the cytoskeleton. In neurons, microtubules are organized differently between axons and dendrites, but their precise organization in different compartments is not completely understood. Super-resolution microscopy techniques can detect specific structures at an increased resolution, but the narrow spacing between neuronal microtubules poses challenges because most existing labelling strategies increase the effective microtubule diameter by 20–40nm and will thereby blend neighbouring microtubules into one structure. Here we develop single-chain antibody fragments (nanobodies) against tubulin to achieve super-resolution imaging of microtubules with a decreased apparent diameter. To test the resolving power of these novel probes, we generate microtubule bundles with a known spacing of 50–70nm and successfully resolve individual microtubules. Individual bundled microtubules can also be resolved in different mammalian cells, including hippocampal neurons, allowing novel insights into fundamental mechanisms of microtubule organization in cell- and neurobiology.
Microtubules are hollow biopolymers of 25-nm diameter and are key constituents of the cellular cytoskeleton, the mechanical framework of dynamic polymers and associated proteins that directs cell shape and facilitates intracellular transport1. The exact spatial organization of microtubules and their bundling is of central importance to a number of fundamental cellular processes such as mitosis, cell polarization and the outgrowth of cellular processes, for example, in neurons1. Conventional fluorescence microscopy allows selective labelling of microtubule modifications and associated proteins, but cannot resolve individual microtubules within tightly bundled microtubule arrays. Electron microscopy, in contrast, allows resolving individual microtubules, but is very labour intensive, while high-density labelling of specific proteins has remained challenging. Single-molecule localization microscopy (SMLM) provides selectivity at an increased resolution, but the extremely small spacing between neuronal microtubules (20–70nm)2 poses novel challenges, because existing labelling strategies typically increase the apparent microtubule diameter by 20–40nm and will thereby blend neighbouring microtubules into one structure3. It is therefore widely assumed that despite all progress in super-resolution microscopy, electron microscopy is still the only technique that allows insight into complex microtubule structures4. Here, we use both computer simulations and experimental approaches to explore how labelling strategy affects SMLM imaging of microtubules. We develop single-chain antibody fragments (nanobodies) against tubulin and achieve super-resolution imaging of microtubules with a decreased apparent diameter, allowing us to optically resolve bundled microtubules.
To explore the effect of label size and fluorescent probe positioning on resolving ability, we first performed numerical simulations to examine how labelling density, localization precision and fluorophore positioning affect the apparent microtubule width (determined as the full width at half maximum (FWHM) from Gaussian fits to intensity profiles integrated over 512nm of microtubule length; Fig. 1a). Using a maximum localization uncertainty of 8nm, we found that the apparent microtubule width was ~31nm for a fluorophore positioned directly at the microtubule surface (probe position of 0nm, Fig. 1b). Placing the fluorophore further away increased the FWHM by double the displacement, that is, 41nm for a fluorophore position of 5nm. A more stringent precision cutoff resulted in decreased FWHM (Fig. 1c) and the FWHM decreased from 63nm for a probe position of 15nm and precision cutoff at 13nm to 27nm with fluorescent probes directly on the microtubule lattice and a precision cutoff of 3nm.
To examine how label size affects the probability of resolving closely spaced microtubules, pairs of randomly picked profiles were superimposed with a set distance between the microtubule centres and the resulting profile was analysed. If the lowest intensity between the two microtubule centres was <75% of the intensity of the lowest peak, then the microtubules were considered to be resolved and the resolving probability was calculated as the fraction of resolvable cases out of 250. As expected, decreasing label size results in increasing the resolving probability (Fig. 1d). For example, given a labelling density of 7% and a precision cutoff of 13nm, the probability of resolving microtubules with centres spaced 55-nm apart increased from 0.03 to 0.49 to 0.97 for probes positioned at 12.5nm, 5nm and 0nm from the microtubule lattice, respectively (data taken from fit).
Conventional staining strategies often use a combination of primary antibodies binding a specific epitope, followed by a fluorescently tagged secondary antibody that recognizes the primary antibody, resulting in significant displacement of the fluorescent probe from the target (Fig. 1e). Typically, smaller labels have been obtained by directly conjugating a fluorophore to the primary antibody, or by using antibody fragments. Antibody fragments derived from heavy chain only camelid antibodies (nanobodies) are now emerging as promising alternatives, because of their small size (~15kDa, ~4nm), as well as ease of selection and production. Previous work has demonstrated the usage of nanobodies to create smaller labels for SMLM. Overexpression of GFP–tubulin and subsequent labelling with an anti-GFP nanobody conjugated to a fluorescent dye significantly decreased the effective diameter of individual microtubules3. However, this strategy requires overexpression of GFP–tubulin to very high levels, which will perturb cytoskeletal organization and is not possible in many biological systems.
To experimentally assess the effect of label size on resolving power, we created three novel labels for SMLM of endogenous tubulin, complementing the existing strategies using conventional antibodies. First, we developed two different nanobodies against tubulin. One was derived from two rounds of phage display selection using a universal synthetic library of humanized nanobodies (VHH#1) and the other using an MRC7 cell library (VHH#2) (Supplementary Fig. 1a,b; see Methods section for details), similarly selected in two rounds of phage display. Immunoblotting with VHH#1 or VHH#2 on lysates of HEK293 cells overexpressing GFP–α-tubulin or GFP–β-tubulin revealed that both nanobodies react with the endogenous tubulin as well as GFP–β-tubulin (Supplementary Fig. 2a,b). Conjugation of Alexa Fluor 647 (AF647) to the nanobodies did not interfere with their binding properties (Supplementary Fig. 2c; Supplementary Figs 3 and 4). As a second approach, recombinant human-derived single-chain variable fragments (scFvs) directed against α- and β-tubulin were purified and also coupled to AF647 (ref. 5). All bacterially expressed and purified labels were relatively pure and stable over long periods of time (Supplementary Fig. 2a).
To test the SMLM resolving power of the different microtubule labels, we established an in vitro bundling assay using polymerized microtubules in combination with the microtubule bundler AtMAP65-1, which promotes the formation of a planar network of antiparallel microtubules with a single-dimer spacing in between (Fig. 1f)6. Silanized coverslips were used to stably attach the microtubule bundles to the coverslip surface to allow for subsequent staining procedures. As a control, we performed SMLM on non-stained samples to which fluorescently tagged tubulin (conjugated to HiLyte Fluor 647) was added in to the polymerization mix. In this condition, most bundles could be clearly resolved with an average spacing of 65±2nm (s.e.m., n=56, Supplementary Fig. 3a). Both VHH#1 and VHH#2 conjugated to AF647 efficiently decorated the bundles and in most cases the individual microtubules could be clearly distinguished when the microtubule centres were 60–70-nm apart (Fig. 1g, Supplementary Fig. 3b). In contrast, when a conventional primary anti-α-tubulin antibody directly coupled to AF647 was used, such bundled microtubules could often not be resolved.
When we tested our nanobodies on microtubules in cells, we found that we could resolve microtubules that were spaced down to 40nm (Fig. 2a). To quantitatively compare the nanobody approach with the other staining methods in cells, we labelled microtubules in fixed Ptk2 and COS-7 cells using different tubulin labels conjugated to AF647. We determined the FWHM from a Gaussian fit to intensity profiles perpendicular to the microtubule averaged over 512-nm length to rule out possible profile artifacts that could arise from low labelling density (Fig. 1b). We found that individual microtubules were densely labelled with the most common diameter (average mode±s.e.m.) varying from 39.3±0.8nm (VHH#2, N=10 data sets with in total n=1,365 profiles) to 54.0±1.2 and 61.7±0.8nm (directly conjugated primary anti-tubulin antibody, N=10, n=2,462, and primary anti-tubulin+secondary-AF647, N=10, n=2460, respectively; Fig. 2b, Supplementary Fig. 4a,b; see Methods section for details and Supplementary Fig. 5a for statistical testing). Because in the rendering of the SMLM images we rejected all localizations with localization precision ≥13nm, these values suggest that fluorophores coupled to primary antibodies are on average ~12.5-nm displaced from the microtubule lattice (Fig. 1c). Strikingly, this distance is reduced to <2.5nm for VHH#2.
To translate the observed microtubule FWHM into a resolution estimate, we again analysed composite profiles obtained by superimposing two randomly picked profiles with a set distance between the microtubule centres (Fig. 2c). On the basis of cumulative probability plots obtained for the VHH#1, VHH#2, primary and primary–secondary antibody labellings, ~50% of all bundled microtubules with 25-nm lattice-to-lattice spacing (corresponding to 50nm between peaks) will be resolved by the nanobody labels, whereas the directly conjugated primary antibodies or the sandwich labelling will only resolve ~20% and ~5% of all microtubule pairs, respectively. Consistent with the in vitro bundling results, VHHs are expected to resolve >90% of microtubule pairs with a lattice-to-lattice spacing of 60nm, which is the typical spacing of tightly bundled microtubules in neuronal dendrites2.
To further quantify the gain in resolution, we used the Fourier Ring Correlation resolution measure (FRCrm) as an independent, quantitative estimate of resolution that accounts for both localization precision and probe density7. Whereas direct application of the available FRC ImageJ-plugin to our data yielded highly variable results, this could be circumvented by data preprocessing to average different localizations emerging from the same fluorophore emitting over multiple frames (Supplementary Fig. 5b). As expected, smaller apparent diameters also resulted in better FRCrm resolution estimates, with the exception of VHH#2, whose lower labelling density resulted in a worse FRCrm compared to VHH#1, despites its smaller FWHM. For VHH#1, the average FRCrm was 45±4nm (Fig. 2d). These results demonstrate that our novel anti-tubulin nanobodies provide improved resolution.
To test how anti-tubulin nanobodies performed in three dimentional (3D)-SMLM, we labelled microtubules in U2OS cells with VHH#1 and performed 3D-SMLM using the biplane approach8. We found that microtubules could easily be resolved in z-direction (Fig. 2e–h) at distances of 100nm. Finally, we used the VHH#1 nanobody to perform SMLM on microtubules in primary hippocampal neurons (Days in vitro, DIV1) and could successfully resolve individual microtubules in neurites (Fig. 2i–l). The cross-sections across densely packed microtubule bundles indicate a center-to-center spacing of 60 to 80nm, consistent with earlier results using electron microscopy on cross sections2. In several cases, ends of individual microtubules could be clearly identified (Figs 2i,l, arrows). Thus, tubulin nanobodies can be used to resolve neuronal microtubule bundles.
We have introduced novel labels for microtubules that allow using SMLM to resolve previously inaccessible functional details of microtubule organization such as bundling, both in vitro and in fixed cells. These labels nicely complement the recently introduced live-cell marker for tubulin8 that allows nanoscopy using STED (Stimulated Emission Depletion) microscopy and SIM (Structured Illumination Microscopy) in living cells, but does not remain bound to microtubules upon fixation (Supplementary Fig. 6). Microtubules are key components of many complex cytoskeletal assemblies and their organization, polymerization, motility and interactions with motor proteins are controlled by a plethora of posttranslational modifications and modulating proteins, such as microtubule polymerases, severing proteins and bundlers. Therefore, our ability to resolve individual microtubules in such cytoskeletal assemblies paves the way towards a deeper understanding of the mechanisms underlying microtubule organization and function, both in health and disease.
VHH#1 was selected from a novel library of 3 × 109 humanized nanobodies. Briefly, commercial biotinylated tubulin (Cytoskeleton) was diluted to obtain a 10–20nM solution (1ml final) and efficient recovery of biotinylated tubulin was confirmed on 50μl streptavidin-coated magnetic beads (Dynal). Fractions of bound and unbound samples were compared by western blot using streptavidin–HRP. Adequate amounts of beads and biotinylated antigen were incubated for 2h with the phage library (1013 phages diluted in 1ml of PBS containing 0.1% Tween-20 and 2% nonfat milk). Phages were previously adsorbed on empty streptavidin-coated magnetic beads to remove nonspecific binders. Phages bound to tubulin-coated beads were recovered on a magnet and washed 10 times (round 1) or 20 times (round 2) using PBS containing Tween-20 0.1%. Bound phages were eluted using 500μl triethylamine (100mM) for 10min. Eluted phages were neutralized using 1M Tris pH 7.4. Elution was repeated once more. E. coli (TG1) were infected with the eluted phages. Round 2 was carried out using 1012 phages as input. After round 2, 40 bacteria clones were picked at random and used to produce nanobodies in the culture medium. Nanobody specificity was analysed by immunofluorescence as described before5 and nanobodies staining microtubules were analysed further.
For production of VHH#1, WK6 E. coli containing the plasmid pHEN2–VHH#1–His6–cMyc3 were grown in 2l of ‘Terrific Broth' (17mM KH2PO4, 72mM K2HPO4, 12gl−1 tryptone, 24gl−1 yeast extract, 0.4% glycerol) containing 2mM MgCl2, 0.1% glucose, and 100μgml−1 ampicillin with shaking at 37°C until the E. coli had an OD600 of 0.6–0.9. Isopropyl β-D-1-thiogalactopyranoside (IPTG) was then added to a concentration of 0.5mM, and the flasks were shaken at 28°C overnight (~16h). To extract the nanobody from the periplasmic space, cells were centrifuged (5,000g, 10min), resuspended in 24ml of TES buffer (0.2M Tris pH 8.0, 0.5mM EDTA, 0.5M sucrose) and shaken for 1h at 4°C. The cell–TES mixture was then diluted by the addition of 36ml of TES/4 buffer (50mM Tris pH 8.0, 0.125mM EDTA, 0.125M sucrose), and shaken for 1h at 4°C. The cells were then pelleted (5,000g, 10min), and the nanobody-containing supernatant removed. The His6-tagged VHH#1 was then purified using HisPur cobalt-agarose resin (Thermo Scientific) following manufacturer's instructions. The eluted protein was concentrated ~10-fold using ‘Vivaspin' columns (3kDa MWCO; General Electric). SDS–polyacrylamide gel electrophoresis (PAGE) and Coomassie-staining of the resulting gels revealed the nanobody to be >90% pure. VHH#1 was dialysed overnight against PBS at 4°C to remove any residual imidazole. The 2l of culture yielded ~50mg of pure nanobody. The stability of VHH#1 was analysed by immunoblotting of a sample stored at 4°C for >4 months. Two micrograms of VHH#1 were used for Coomassie staining and about 100ng for immunoblotting using anti-VHH serum 976 (1:2,000 (ref. 9)) or mouse monoclonal anti-c-myc antibody (1:5,000, Abcam) recognizing the carboxy-terminal myc-tag of VHH#1.
The VHH phage display library was generated from llamas immunized with MCF7 cells9. Two rounds of selection were performed as described9. For selection of VHHs against tubulin, the bovine brain tubulin (Cytoskeleton) was directly coated onto 96-well NUNC Maxisorp plates (Thermo Scientific) in a series of dilutions (0; 0.1;1; 5μg in PBS) by incubation for 30min at room temperature and then overnight at 4°C. Phages retrieved from the phage-glycerol stock were preincubated with 2% milk-PBS for 30min at room temperature, and added to the tubulin-coated wells and kept at rppm temperature on a shaker for 2h. Afterwards wells were washed extensively with 0.05% Tween-20 in PBS. Bound phages were eluted with 100μl per well of 0.1M triethylamine followed by recovery via infection of E. coli TG1. Phages from the first round were subjected to the second round of selection with 0, 0.1, 1 or 5μg of coated tubulin. E. coli TG1 were infected with the phages from the second selection and plated on LB-agar plates supplemented with ampicillin. Ninety-six random colonies were picked for testing. Expression of VHHs targeted to the bacterial periplasm was induced by addition of 1mM IPTG at 37°C overnight. To obtain the periplasmic fraction, bacterial pellets were resuspended in 10 volumes of PBS (pH 7.4) containing protease inhibitor cocktail (Roche), subjected to two freeze/thaw cycles, and spun down for 15min at 4,600r.p.m. Periplasm was collected as supernatant fraction. Specificity of VHHs for tubulin was determined by enzyme-linked immunosorbent assay.
For efficient bacterial expression, four of the most successful and divergent VHH sequences were directly subcloned from pUR8100 into modified pET28a–EPEA vector using SfiI/NotI restriction sites. pET28a–EPEA was created inserting AAACAAAGYQDYEPEA–STOP sequence (NotI/XhoI) in front of the C-terminal 6 × His-myc sequence which allows purification with Capture Select C-tag matrix (Life Technologies). Although all of the constructs were expressed and purified, from now on, we focused on one of the VHH sequences showing the best performance during protein production and labelling (Clone H, that is, VHH#2).
For protein production, an overnight culture of E. coli BL21(DE3) transformed with pET28a-VHH#2-EPEA was grown in LB supplemented with kanamycin till OD600≈0.8 and induced with 0.5mM IPTG for 4h at 25°C or at 20°C overnight. VHHs were purified from the periplasmic fraction in PBS (pH 7.4) containing 0.5% Triton-X100, protease inhibitor cocktail (Roche) and 0.5mM TCEP and purified using Capture Select C-tag matrix according to the manufacturer's instructions (Life Technologies). Bound VHH was eluted from the beads in buffer containing 2M MgCl2, 20mM Tris-HCL (pH 7.0) and immediately dialyzed against PBS (pH 7.4). Impurities were removed by size exclusion chromatography performed on an ÄKTA FPLC system (ÄKTA purifier, GE Healthcare, UK) using a Superdex 75 gel filtration column. Fractions containing VHH#2 were pooled and upconcentrated to 1–1.5μgμl−1.
COS-7, MRC5 or Ptk2 cells were plated on 19-mm diameter glass coverslips or 8-well Labtek chambers (Thermo scientific), respectively and cultured in DMEM/Ham's F10 (50/50%) medium supplemented with 10% FCS and 1% penicillin/streptomycin for 2–3 days. Culturing of primary neurons was described before10. Briefly, hippocampal primary neurons were prepared from embryonic day 18 rat brains. Cells were plated on coverslips coated with poly-L-lysine (30μgml−1) and laminin (2μgml−1) at a density of 40,000 per well. Hippocampal cultures were grown in Neurobasal medium (NB) supplemented with B27, 0.5μM glutamine, 12.5μM glutamate and penicillin/streptomycin. For optimal microtubule imaging, cells were pre-extracted and fixed in extraction buffer containing 80mM PIPES (pH 6.9), 7mM MgCl2, 1mM EGTA, 0.3% Triton-X100 (Sigma-Aldrich), 150mM NaCl, 5mM glucose, 0.25% glutaraldehyde (Electron Microscopy Sciences) for 90s at 37°C and then in PBS with 4% PFA and 4% sucrose for 10min at 37°C. After fixation, cells were washed two times in PBS and cells were further permeabilized for 10min in PBS with 0.25% Triton-X100. Cells were then washed three times in PBS, quenched for 10min with 50mM NH4Cl in PBS, washed again and incubated with Image-IT (Molecular Probes) for 30min at RT. After three washes with PBS, blocking buffer 1 (used for staining with antibody and VHH#2) containing 2% w/v 2% w/v BSA-c (Aurion)11, 0.2% w/v gelatin, 10mM glycine, 50mM NH4Cl in PBS (pH 7.4) or blocking buffer 2 (used for VHH#1, also works for VHH#2) containing 10% FHS (Gibco, Life Technologies) and 0.1% Triton-X-100 in PBS (pH 7.4) was added for 30–45min. Primary antibodies or VHHs were diluted in corresponding blocking buffer and were incubated overnight at 4°C (antibody) or 1–2 days at RT (VHHs). For the secondary antibody labelling, coverslips were washed from the primary antibody and anti-mouse antibody conjugated to AF647 were diluted in a same blocking buffer and added for 1–1.5h at room temperature. Antibody were α-tubulin (Sigma-Aldrich, clone B-5-1-2, T5168) conjugated to AF647 (dilution 1:100), AF647 conjugated goat anti-mouse IgG (H+L) secondary antibody (Molecular Probes, Life Technologies, dilution 1:500). VHH#1 and VHH#2 were diluted to about 10μg/ml. All coverslips were extensively washed with PBS shortly before imaging, post-fixed in PBS with 4% PFA and 0.25% GA for 10min at room temperature and again extensively washed with PBS. For co-staining with F-actin marker, neurons already labelled with VHH#1-AF647 were washed in PBS and incubated with AF568 Phalloidin from Molecular probes (Life Technologies, 1:200 in PBS) for 20min, extensively washed in PBS and mounted for imaging. For live staining with SiR-tubulin8, 100nM of the probe was added to the growth medium and incubated for 1h at 37°C, 5% CO2. MRC5 cells expressing plus-end microtubule marker EB3–GFP were used for the life imaging. COS7 cells were fixed with standard pre-extraction/fixation protocol (see above), mixture of 3% PFA and 1% glutaraldehyde for 10min at 37°C or 4% PFA for 10min at 37°C. Fixed cells were extensively washed in PBS and processed for imaging.
Ptk2 cells were fixed at 37°C using prewarmed PEM buffer (15mM PIPES pH 7, 1mM MgCl2, 10mM EGTA) containing 0.1% Triton X-100 and 0.4% glutaraldehyde for 10min. They were washed three times with PBS, incubated with PBS containing 50mM NH4Cl for 10min, washed twice with PBS, incubated with freshly prepared PBS with 0.1mgml−1 sodium borohydride for 5min, washed three times with PBS, incubated with Image-IT blocking solution (Life Technologies) for 30min, washed three times with PBS, and then incubated with blocking buffer 2. Labelled VHH#1 nanobody was then added to a final concentration of 600nM, and the cells incubated overnight at 25°C (note that similar labelling was obtained with a 4h incubation). The cells were then washed three times with PBS containing 0.1% Triton X-100, and twice with PBS and processed for imaging.
Rhodamine-labelled microtubuless were prepared from stabilized seeds as described earlier,12 and stored at −80°C. HiLyte Fluor 647-tubulin was purchased from Cytoskeleton and HiLyte Fluor 647-microtubules seeds were made in a same way like Rhodamine–microtubule seeds. The seeds were quickly transferred into a 37°C water bath, incubated for 5min and kept in the dark at room temperature for 24h. Labelled microtubules were diluted 1:30 in PEM80 (80mM PIPES, pH 6.9, 2mM MgCl2, 1mM EGTA) containing 10μM of Taxol (Sigma). Then 50μl of this dilution was mixed with 0.2ng of recombinant purified GFP–AtMAP65-1 (ref. 6) and incubated for 20min at room temperature to allow formation of bundles. Imaging flow chambers were assembled using microscope slides and coverslips connected with double-sided tape. Before each experiment coverslips were plasma cleaned for 10min, coated for 1min with 0.4% diethylenetriamine diluted in H2O and baked for 1h at 200°C. Microtubules with and without GFP–AtMAP65-1 were washed into the flow channels and kept in dark. After 20min, unbound microtubules were washed out with PEM80 containing 1μM Taxol. For the immunostainings, attached Rhodamine-microtubules were first fixed for 3min with 4% PFA and 0.25% GA in PEM80, washed with PEM80 containing 1μM Taxol, quenched for 10min with 50mM NH4Cl in PBS, washed again and unspecific binding of proteins to the surface was blocked with blocking buffer 1 for 30min at room temperature. Samples intended for staining with VHH#1 were in addition blocked with Image-IT for 30min and then blocked with blocking buffer 2 (see above). Primary AF647-labelled anti-α-tubulin antibody (1:20), VHH#1 (10ngμl−1) or VHH#2 (10ngμl−1) were diluted in corresponding blocking buffer, added to the flow channels and incubated in room temperature for 2h in the dark. Stained samples were postfixed for 3min with 4% PFA and 0.25% glutaraldehyde in PEM80, washed with PEM80 and imaged immediately.
Imaging of fixed cells stained with microtubule probes conjugated to AF647 was performed using 10–100mM mercaptoethylamine (MEA), 5% w/v glucose, 560μgml−1 glucose oxidase, 40μgml−1 catalase in PBS. Imaging mixture for in vitro microtubule samples contained 100mM MEA, 5% w/v glucose, 560μg/ml glucose oxidase, 40μgml−1 catalase in PEM80 containing 1μM Taxol.
SMLM microscopy13,14,15 was performed on a Nikon Ti microscope equipped with a 100 × Apo TIRF objective (NA. 1.49), a Perfect Focus System and an additional 2.5 × Optovar to achieve an effective pixel size of 64nm. Evanescent or oblique laser illumination was achieved using a custom illumination pathway with a 15-mW 405-nm diode laser (Power Technology), a 50-mW 491-nm DPSS laser (Cobolt Calypso), and a 40-mW 640-nm diode laser (Power Technology). Fluorescence was detected using an Andor DU-897D EMCDD camera. All components were controlled by Micromanager software16. For SMLM imaging of AF647, the sample was continuously illuminated with 640-nm wavelength light. In addition, the sample was illuminated with 405-nm light at increasing intensity to keep the number of fluorophores in the fluorescent state constant. Typically 5,000–15,000 frames were recorded per acquisition with exposure times of 30–40ms.
SMLM imaging of Ptk2 cells was performed as described17. Imaging chambers were filled with Buffer TN (50mM Tris-HCl pH 8, 10mM NaCl) containing 10% glucose, 10mM MEA (pH adjusted to 8 with KOH; Sigma), 40μgml−1 catalase (Sigma, C40-100MG), and 0.5mgml−1 glucose oxidase (Sigma, G2133-50KU), and sealed with a coverslip. Imaging was performed using a standard Nikon NSTORM microscope, using a 647-nm laser adjusted to provide total internal reflection-based illumination. Videos were acquired using an iXon EMCCD (Andor) and a 100Hz frame rate, with a typical acquisition containing 50,000–100,000 frames. A 488-nm laser was sometimes used to increase the rate at which the AF 647 molecules exited the dark state; however, this was typically not necessary. Acquisitions were then processed to create super-resolution images using custom-written software3 (Fig. 2, Supplementary Fig. 4b). For 3D-SMLM, we use the biplane method as described3,18.
For Fig. 1 and Supplementary Figs 3 and 4a, we used localization software written in Java as an ImageJ plugin, called Detection of Molecules. Each image in an acquired stack was convoluted with the two-dimensional (2D) Mexican hat kernel matching the microscope's point spread function (PSF) size. The intensity histogram of the convolved image was fitted to a Gaussian distribution and used to calculate the threshold intensity value (mean value of the fit plus three s.d.). The maximum intensity values within individual spots were chosen as initial positions for the peaks' fitting performed on the original image. We used unweighted nonlinear least squares fitting with Levenberg-Marquardt algorithm to the assumed asymmetric 2D Gaussian PSF.
Only fits with a calculated width within ±30% of the measured PSF's standard deviation were accepted. Localizations within one pixel distance in a number of successive frames were considered to arise from the same molecule. In this case the weighted mean was calculated for each coordinate, where weights were equal to inverse squared localization precision. The resulting table with molecule coordinates and precision was used to render the final localization image with 5-nm pixel size for microtubule FWHM analysis, and 10- or 20-nm pixel size otherwise. Each molecule was plotted as a 2D Gaussian with integrated intensity equal to one and with s.d. equal to the localization precision. SMLM-localization and rendering of 3D data into images was done as described before3.
To estimate the FWHM of the microtubules, line region of interests were drawn by hand on the microtubules in the reconstructed image. A custom-made ImageJ macro was then used to generate an intensity profile perpendicular to the region of interests, integrating the intensity values over a length of 500nm. A Gaussian distribution was fitted to the intensity profile, from which the FWHM was derived as .
In order to calculate the probability of separately resolving two microtubule profiles, all profiles used for FWHM calculation were normalized along the y axis to an area under the curve of 1 and centred on the x axis on the mean derived from the Gaussian distribution fit. To allow for subpixel shifts, bicubic interpolation was applied to the intensity profiles. Two profiles were randomly selected and positioned with their centres a distance between 5- and 125-nm apart from each other. The profiles were summed, and the dip in intensity between the two peaks was calculated. If this dip was >25% of the intensity of the lowest peak, the two profiles were considered to be resolved. After 250 iterations with different randomly selected profiles, the distance between the means was increased by 0.5nm and the procedure was repeated. At each position, the ratio between resolved and non-resolved sets of intensity profiles was used to calculate the resolving probability. All analysis was performed in the open source software package R.
An independent estimate of image resolution was obtained using Fourier Ring Correlation (FRC), as described previously7. In short, particle tables generated by Detection of Molecules were converted to tables with only x- and y-coordinates for each localization remaining. The FRC plug-in for ImageJ created by the Delft University of Technology Quantitative Imaging Group was then used to obtain a resolution estimate. To obtain consistent results, it was essential to perform frame-to-frame fluorophore linking (see above, Supplementary Fig. 5).
How to cite this article: Mikhaylova, M. et al. Resolving bundled microtubules using anti-tubulin nanobodies. Nat. Commun. 6:7933 doi: 10.1038/ncomms8933 (2015).
Supplementary Figure 1-6, Supplementary Methods and Supplementary References
We thank Amol Aher for preparing stabilized microtubule seeds, Jérémie Gaillard for AtMAP65 purification, Rachid El Khoulati for providing the pET28a-EPEA vector, Roderick Tas for technical support, and Elly van Donselaar for advice. This research is supported by the Dutch Technology Foundation STW, which is part of The Netherlands Organisation for Scientific Research (NWO). Additional support came from NWO (NWO-ALW-VICI to C.C.H and NWO-ALW-VIDI to L.C.K.) and the European Research Council (ERC Starting Grant to L.C.K.), CTMM (Mammoth project to MK and PvBeH). M.M. is recipient of a European Molecular Biology Organization (EMBO) Long-Term Fellowship (EMBO ALTF 884-2011) and Marie Curie IEF (FP7-PEOPLE-2011-IEF). The Swiss National Fund (H.E., K.F.). F.O. acknowledges the support from the Deutsche Forschungsgemeinschaft Center for Molecular Physiology of the Brain/Excellence Cluster 171, Göttingen, Germany. Support to MV came from CNRS (Centre National de la Recherche Scientifique).
Author contributions H.E. and L.C.K. conceived the project (independently). M.Mi. developed VHH#2, together with M.M.K., M.S. and P.M.P.v.B.e.H., who provided the MRC7 library. K.F., H.E., F.P. and S.M. developed VHH#1. M.Ma. and F.O. produced scFvs. M.Mi., B.C., R.v.d.B., and K.F. performed experiments and analysed the data. J.T. and E.K. developed simulations. M.V. contributed AtMAP65. C.H., H.E. and L.K. supervised the project.