Abstract
Here, we report an atomic force microscopy (AFM)-based imaging method for resolving the fine nanostructures (e.g., fenestrations) in the membranes of live primary murine liver sinusoidal endothelial cells (LSECs). From data on topographical and nanomechanical properties of the selected cell areas collected within 1 min, we traced the dynamic rearrangement of the cell actin cytoskeleton connected with the formation or closing of cell fenestrations, both in non-stimulated LSECs as well as in response to cytochalasin B and antimycin A. In conclusion, AFM-based imaging permitted the near real-time measurements of dynamic changes in fenestrations in live LSECs.
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Introduction
First identified in liver sinusoids more than 60 years ago, fenestrations are transmembrane pores with sizes ranging from 50 to 200 nm1,2,3 that accumulate in groups of up to several tens in sieve plates4,5,6. Liver sinusoidal endothelial cells (LSECs) exhibit unique features characterized by the presence of fenestrations and lack of basement membrane; this morphology is strongly associated with the sieve function of these cells2. Interestingly, the diameter and number of fenestrations in LSECs change in response to treatment with various agents, e.g., hormones, drugs, and toxins1, 7. Changes in the morphology of fenestrations have been investigated “ex posteriori”; for example, electron microscopy of isolated and subsequently fixed and dehydrated cells has been performed8,9,10,11. However, due to the invasive nature of sample preparation12, 13, contradictory results have often been obtained1. Despite a rich knowledge of the structure and function of fenestrations, the dynamic morphology of the fenestrations in live cells remains unknown14. Recently, significant progress in imaging techniques has led to the development of super-resolution fluorescence microscopy15, scanning near-field optical microscopy16, and atomic force microscopy (AFM)17,18,19, which have the potential to facilitate visualization of fenestrations in live LSECs. However, to the best of our knowledge, no clear images of fenestrations in live cells have been reported to date15, 17, 20.
Here, we present a novel application of the AFM force imaging mode based on fast acquisition of the force versus distance (FD) curves in every pixel of the scanned area. Reconstructing the topographic image from thousands of FD curves collected in milliseconds permits not only the high-resolution imaging of detailed topographical structures on LSECs but also the observation of rapid alterations in fenestrations morphologies in live LSECs. Because of the flat, thin appearance of LSECs, short FD curves, i.e., below 200 nm could be used. Therefore, when a relatively small area was scanned, high-resolution images could be acquired rapidly (time per frame up to 45 s for a single sieve plate).
Results and Discussion
Imaging based on force spectroscopy enabled us to construct images containing detailed information regarding both the topography and nanomechanical properties of whole live LSECs as well as s single sieve plate (Fig. 1).
The low-magnification stiffness image of live LSECs is shown in Fig. 1a, in which the extremely porous cell structure is clearly observed. Such images are possible because of the large contrast difference between the inner regions of the fenestrations (the AFM tip probes a stiff glass slide; bright points) and the soft cell body (dark brown). The stiffness values for each pixel of the image were calculated as the slope of the linearized FD curve in a carefully selected scanner position range. The best contrast was obtained if this range extended from 0 to 5–10 nm, i.e., in the narrow range close to the maximum deflection of the cantilever used in the experiment (for more details see Methods). Topographic images could be extracted from the same set of force distance curves for any loading force values. For example, a high contrast reconstruction obtained for the loading force of 400 pN is shown in Fig. 1b. Due to the dynamic rearrangement of the fenestrations (see the next paragraph) and the tip apex size of 20–60 nm, it is quite challenging to accurately measure the fenestration diameters in live LSECs. Nevertheless, a good distribution of the fenestration diameter can be made based on high spatial resolution images of fenestrations from several sieve plates. The histogram of 985 experimentally measured diameters allowed us for determination of the statistically most probable value which was equal to 180 nm ± 41 nm (see Supplementary Fig. 1). Moreover, we were able to identify some of the stress fibres located next to the fenestrations (Fig. 1b), in agreement with previous reports18, 21,22,23,24. We found that the ability to visualize the cytoskeleton structures (fenestrae-associated cytoskeleton rings [FACRs])1, 25, or stress fibres was strongly related to the number of analysed FD curves per image area, the applied loading force, and the speed of FD curve acquisition (Supplementary Fig. 2).
The main results of our work demonstrate that live LSEC morphology could be studied under AFM for several hours practically in real time starting from the time of cell seeding on the glass slide (see Supplementary Animations 1–4). In Fig. 2 we show morphology of three live LSECs after 6 hours from the seeding on a glass coverslip (Fig. 2a) and approximately 65 minutes later (Fig. 2b). The overall appearance of cells changes, i.e., the cell surface area is larger leading to better interconnection between the cells, which is characteristic for the endothelial cells (Fig. 2, black arrowhead). We notice the disappearance of the micrometre size holes in the cell membrane (Fig. 2, white arrowheads) and the increasing number of fenestrations. Rarely, we identify LSECs (Fig. 2a,b, bottom cell), which present thick stress fibres. We noticed that those cells present less fenestrated appearance. The number density of fenestrations varies with time, especially for peripheral parts of the cell, where the actin cytoskeleton rebuilds rapidly (Fig. 2c,d).
To ensure that such high-speed imaging did not cause any alterations in the cell membrane, we performed time-dependent control experiments in which the selected area was sequentially scanned (see Supplementary Animations 1 and 2, reconstructed from 6 and 14 AFM images, respectively). We noticed that after 16–24 h, the number of fenestrations did not change significantly, particularly in regions close to the interconnections of few cells (Supplementary Animations 1 and 2); therefore, further experiments were performed within that time frame.
Through visualization of fenestrations at high resolution and observation of actin cytoskeleton rearrangement in real time, we could investigate the responses of live LSECs to different agents, including cytochalasin B, an actin-disrupting agent, and antimycin A, an inhibitor of mitochondrial electron transport chain (mETC) complex III. In previous reports26, 27 describing changes in the numbers of fenestrations in response to these agents, experiments were performed after fixation and dehydration of the cells.
Figure 3 shows selected images from a 25 min experiment in which we investigated changes in the morphologies of selected LSEC areas after the addition of cytochalasin B. Single images were acquired within a time frame as short as 45 s (Supplementary Animation 3, based on 34 AFM images). We observed rapid widening of the existing sieve plates and an increase in the number of fenestrations (changes in the numbers of fenestrations and the porosity over time are summarized in Supplementary Fig. 4). Furthermore, we observed newly formed
sieve plate after 2 min of incubation with cytochalasin B (Fig. 3, thick, white arrow). After an additional 3 min, we identified the structure corresponding to the previously reported fenestrae-forming centre (FFC) on the sieve plates25. We noticed that the sieve plates expanded over time and that the FFC moved simultaneously in the same direction as the number of fenestrations increased (Fig. 3, white arrows). Thus, these observations confirmed the role of FFCs in the formation of new fenestrations1, 25. Moreover, the imaging method presented here may allow us to investigate the sequences of cellular events linked to the formation of fenestrations, effectively in real-time.
To further emphasize the potential of the method, we evaluated changes in the numbers and diameters of fenestrations following the treatment with antimycin A, an mETC complex III inhibitor. Previous experiments using scanning electron microscopy showed that the diameters and numbers of fenestrations decreased after 30 min of antimycin A treatment, leading to nearly complete loss of fenestrations after 60 min26. Antimycin A affects also FACR structures, leading to shortening of the actin fibres and thus to loss of fenestrations. Based on our ability to visualize time-dependent alterations in morphology, we observed shrinkage and gradual contraction of fenestrations, leading to their closing over time (Fig. 3, lower row and Supplementary Animation 4). Interestingly, FACRs were partially identified in the image, even after the loss of fenestrations. This suggested that FACR and other actin-binding proteins may be involved in maintaining the fenestrations.
Conclusions
In conclusion, we have shown that the specific scanning conditions permitted by our new AFM-based force spectroscopy and imaging methods (namely, exploring the capabilities of the JPK Quantitative Imaging Mode) facilitated visualization of the dynamic morphology of live LSECs, reaching a spatial resolution well below 100 nm and yielding images within a short time. This experimental approach allowed us to study changes in LSEC fenestration numbers and diameters in response to cytochalasin B and antimycin A. Thus, this new approach permitted fenestrations to be visualized in live LSECs in near real time observation. This novel AFM method will facilitate more in-depth research on LSEC morphology and function, revealing the true dynamic processes in live cells and the time-dependent cellular responses to adverse (toxic) or therapeutic agents.
Methods
Cell isolation
Murine LSECs were isolated as previously described17. After isolation, LSECs were seeded on uncoated glass coverslips in EGM-2 medium (Lonza) at 37 °C in an atmosphere containing 5% CO2. LSECs were cultured for 1–24 h and then examined using AFM.
AFM
Measurements were conducted in EGM-2 medium at 37 °C under ambient conditions using a Nanowizard 3 AFM system (JPK Instruments). Measurement of LSECs was conducted within 3 h. We perform experiments using fast FD-based AFM imaging mode (Quantitative Imaging; JPK Instruments), in which thousands of FD curves were collected and translated into topography and stiffness images. Because of the flat and thin morphology of LSECs, acquired FD curves had lengths of 100–400 nm. To ensure good stability of loading force values and minimize lateral forces during the measurement period, continuous correction of the baseline was necessary. The baseline correction was calculated automatically by the AFM software after obtaining each FD curve using the mean value from the curve region of the maximum z scanner range (20 nm), where there was no interaction between the tip and the sample (black-coloured curve region in Fig. 4). Topographical images were translated from the chosen trigger force selected from the acquired FD curves. Linear fit to the selected area of the FD curve was used to calculate stiffness. In our experiments, we noticed that the highest contrast allowing identification of fenestrations was reached when a narrow area, based on the maximum cantilever deflection, was analysed. Depending on the cell body thickness, tip size, and tip geometry, different values of both maximum loading force (from 500 to 1000 pN) and z scanner position (from 0 to 5–10 nm) gave the best imaging conditions. We carried out experiments using a tip with a radius of 20 nm mounted on cantilevers with a spring constant of 0.7 N/m. The following settings were used for cytoskeletal imaging: z scanner range (Fig. 4, magnifying glass, black arrows) of 400 nm, tip velocity during acquisition of the extended fragment of the FD curve of 30–50 μm/s, additional z scanner retraction (Fig. 4, magnifying glass, black arches) from the recorded area of 400–500 nm. Additionally, the following settings were used for high-magnification images in experiments determining the dynamics of LSECs treated with cytochalasin B: z range of 100 nm, tip vertical velocity of 100 μm/s, and additional retraction of 30 nm. The settings for imaging after treatment with antimycin A were as follows: z range of 150 nm, tip velocity of 50 μm/s, and additional retraction of 50–100 nm.
The obtained images of the topography and stiffness were analyzed using JPK Data Processing Software. Additionally, ImageJ software was used for calculation of fenestration diameters and porosity28.
Treatment of LSECs with cytochalasin B and antimycin A
During AFM measurements, cytochalasin B (from Dreschslera dematioi; Sigma Aldrich, Germany) was added at a final concentration of 21 µmol/dm3 in EGM-2 medium, and measurements were continued immediately. Similarly, antimycin A (from Streptomyces sp.; Sigma Aldrich) was added to a final concentration of 1.9 µmol/dm3. Stock solutions of toxins (1000 × in DMSO) were prepared as described elsewhere27.
References
Braet, F. & Wisse, E. Structural and functional aspects of liver sinusoidal endothelial cell fenestrae: a review. Comp. Hepatol. 1, 1, doi:10.1186/1476-5926-1-1 (2002).
Wisse, E., de Zanger, R. B., Charels, K., Van Der Smissen, P. & McCuskey, R. S. The liver sieve: considerations concerning the structure and function of endothelial fenestrae, the sinusoidal wall and the space of Disse. Hepatology 5, 683–692, doi:10.1002/hep.1840050427 (1985).
Wright, P. L., Smith, K. F., Day, W. A. & Fraser, R. Small liver fenestrae may explain the susceptibility of rabbits to atherosclerosis. Arteriosclerosis 3, 344–348 (1983).
Bennett, H. S., Luft, J. H. & Hampton, J. C. Morphological classifications of vertebrate blood capillaries. Am. J. Physiol. 196, 381–390 (1959).
Wisse, E. An electron microscopic study of the fenestrated endothelial lining of rat liver sinusoids. J. of Ultrastr. Res. 31, 125–150, doi:10.1016/S0022-5320(70)90150-4 (2012).
Fraser, R. et al. The liver sieve and atherosclerosis. Pathology 44, 181–186, doi:10.1097/PAT.0b013e328351bcc8 (2012).
Cogger, V. C., Roessner, U., Warren, A., Fraser, R. & Le Couteur, D. G. A sieve-raft hypothesis for the regulation of endothelial fenestrations. Comput. Struct. Biotechnol. J. 8, e201308003, doi:10.5936/csbj.201308003 (2013).
Wisse, E., Jacobs, F., Topal, B., Frederik, P. & De Geest, B. The size of endothelial fenestrae in human liver sinusoids: implications for hepatocyte-directed gene transfer. Gene Ther. 15, 1193–1199, doi:10.1038/gt.2008.60 (2008).
Funyu, J., Mochida, S., Inao, M., Matsui, A. & Fujiwara, K. VEGF can act as vascular permeability factor in the hepatic sinusoids through upregulation of porosity of endothelial cells. Biochem. Biophys. Res. Commun. 280, 481–485, doi:10.1006/bbrc.2000.4148 (2001).
Braet, F. et al. Comparative atomic force and scanning electron microscopy: an investigation on fenestrated endothelial cells in vitro. J. Microsc. 181, 10–17, doi:10.1046/j.1365-2818.1996.72348.x (1996).
Dobbs, B. R., Rogers, G. W. T., Xing, H. Y. & Fraser, R. Endotoxin-induced defenestration of the hepatic sinusoidal endothelium: a factor in the pathogenesis of cirrhosis? Liver 14, 230–233, doi:10.1111/j.1600-0676.1994.tb00080.x (1994).
Cogger, V. C., O’Reilly, J. N., Warren, A. & Le Couteur, D. G. A standardized method for the analysis of liver sinusoidal endothelial cells and their fenestrations by scanning electron microscopy. J. Vis. Exp. 98, e52698, doi:10.3791/52698 (2015).
Wisse, E. et al. Fixation methods for electron microscopy of human and other liver. World J. Gastroenterol. 16, 2851–2866, doi:10.3748/wjg.v16.i23.2851 (2010).
Braet, F. et al. Contribution of high-resolution correlative imaging techniques in the study of the liver sieve in three-dimensions. Microsc. Res. Tech. 70, 230–242, doi:10.1002/jemt.20408 (2007).
Müller, M., Mönkemöller, V., Hennig, S., Hübner, W. & Huser, T. Open-source image reconstruction of super-resolution structured illumination microscopy data in Image. J. Nat. Commun. 7, 10980, doi:10.1038/ncomms10980 (2016).
Bulat, K., Rygula, A., Szafraniec, E., Ozaki, Y. & Baranska, M. Live endothelial cells imaged by scanning near-field optical microscopy (SNOM): capabilities and challenges. J. Biophotonics 10, 1–11, doi:10.1002/jbio.201600081 (2016).
Zapotoczny, B. et al. Morphology and force probing of primary murine liver sinusoidal endothelial cells. J. Mol. Recognit. 30, e2610, doi:10.1002/jmr.2610 (2017).
Kronlage, C., Schäfer-Herte, M., Böning, D., Oberleithner, H. & Fels, J. Feeling for filaments: quantification of the cortical actin web in live vascular endothelium. Biophys. J. 109, 687–698, doi:10.1016/j.bpj.2015.06.066 (2015).
Zapotoczny, B., Szafranska, K., Kus, E., Chlopicki, S. & Szymonski, M. Quantification of fenestrations in liver sinusoidal endothelial cells by atomic force microscopy. Micron 101, 48–53, doi:10.1016/j.micron.2017.06.005 (2017).
Braet, F. & Wisse, E. AFM imaging of fenestrated liver sinusoidal endothelial cells. Micron 43, 1252–1258, doi:10.1016/j.micron.2012.02.010 (2012).
Pesen, D. & Hoh, J. H. Micromechanical architecture of the endothelial cell cortex. Biophys. J. 88, 670–679, doi:10.1529/biophysj.104.049965 (2005).
Cartagena-Rivera, A. X., Wang, W.-H., Geahlen, R. L. & Raman, A. Fast, multi-frequency, and quantitative nanomechanical mapping of live cells using the atomic force microscope. Sci. Rep. 5, 11692, doi:10.1038/srep11692 (2015).
Haga, H. et al. Elasticity mapping of living fibroblasts by AFM and immunofluorescence observation of the cytoskeleton. Ultramicroscopy 82, 253–258, doi:10.1016/S0304-3991(99)00157-6 (2000).
Rotsch, C. & Radmacher, M. Drug-induced changes of cytoskeletal structure and mechanics in fibroblasts: an atomic force microscopy study. Biophys. J. 78, 520–535, doi:10.1016/S0006-3495(00)76614-8 (2000).
Braet, F., Spector, I., De Zanger, R. & Wisse, E. A novel structure involved in the formation of liver endothelial cell fenestrae revealed by using the actin inhibitor misakinolide. Proc. Natl. Acad. Sci. USA 95, 13635–13640, doi:10.1073/pnas.95.23.13635 (1998).
Braet, F., Muller, M., Vekemans, K., Wisse, E. & Le Couteur, D. G. Antimycin A-induced defenestration in rat hepatic sinusoidal endothelial cells. Hepatology 38, 394–402, doi:10.1053/jhep.2003.50347 (2003).
Braet, F., De Zanger, R., Jans, D., Spector, I. & Wisse, E. Microfilament-disrupting agent latrunculin A induces an increased number of fenestrae in rat liver sinusoidal endothelial cells: comparison with cytochalasin B. Hepatology 24, 627–635, doi:10.1053/jhep.1996.v24.pm0008781335 (1996).
Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675, doi:10.1038/nmeth.2089 (2012).
Acknowledgements
This work is supported by the Polish National Science Centre under the “SYMFONIA 3” project, grant agreement no.: UMO-2015/16/W/NZ4/00070.
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B.Z. designed the experiment. B.Z., K.S. performed the experiments. M.S., S.C., E.K. contributed expertise and supervision. All authors contributed to manuscript preparation.
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Zapotoczny, B., Szafranska, K., Owczarczyk, K. et al. Atomic Force Microscopy Reveals the Dynamic Morphology of Fenestrations in Live Liver Sinusoidal Endothelial Cells. Sci Rep 7, 7994 (2017). https://doi.org/10.1038/s41598-017-08555-0
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DOI: https://doi.org/10.1038/s41598-017-08555-0
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