Abstract
Background
Optical and spectroscopic technologies working at subcellular resolution with quantitative output are required for a deeper understanding of molecular processes and mechanisms in living cells. Such technologies are prerequisite for the realisation of predictive biology at cellular and subcellular level. However, although established in the physical sciences, these techniques are rarely applied to cell biology in the plant sciences.
Principal Findings
Here, we present a combined application of one-chromophore fluorescence lifetime microscopy and wavelength-selective fluorescence microscopy to analyse the function of a GFP fusion of the Brassinosteroid Insensitive 1 Receptor (BRI1-GFP) with high spatial and temporal resolution in living Arabidopsis cells in their tissue environment. We show a rapid, brassinolide-induced cell wall expansion and a fast BR-regulated change in the BRI1-GFP fluorescence lifetime in the plasmamembrane in vivo. Both cell wall expansion and changes in fluorescence lifetime reflect early BR-induced and BRI1-dependent physiological or signalling processes. Our experiments also show the potential of one-chromophore fluorescence lifetime microscopy for the in vivo monitoring of the biochemical and biophysical subcellular environment using GFP fusion proteins as probes.
Significance
One-chromophore fluorescence lifetime microscopy, combined with wavelength-specific fluorescence microscopy, opens up new frontiers for in vivo dynamic and quantitative analysis of cellular processes at high resolution which are not addressable by pure imaging technologies or transmission electron microscopy.
Introduction
Fluorescence microscopy is a powerful tool for studying the subcellular partitioning and intracellular dynamics of fluorophor-tagged proteins in living cells [1]–[3]. It has become possible to combine fluorescence microscopy with new time-resolved laser spectroscopic methods. Higher-order pulsed laser irradiation (Stimulated Emission Depletion microscopy, STED) [4]–[5] or single molecule blinking statistics (PhotoActivated Localization Microscopy, PALM) [6] and high resolution colocalization of single molecules (STORM) [7] are used for obtaining ultra-high spatial resolution far below the diffraction limit. For observing dynamic processes associated with single molecules, techniques such as fluorescence correlation spectroscopy (FCS) are available [8]–[13]. However, the high resolution and sensitive fluorescence microscopy of proteins, such as membrane-bound receptor kinases, is difficult to carry out in living plant cells, especially in the context of their tissue, due to the autofluorescence of cellular compartments such as the cell wall. This problem is usually circumvented by studying proteins of higher plants in mammalian cells [14], plant protoplasts [15]–[16] or plant cells after plasmolysis [17]. An in vivo FCS analysis of phytochrome mobility was reported for moss protonemal tip cells [18]. However, protoplast preparation and plasmolysis induce stress responses and may modify the subcellular partitioning, intracellular dynamics and activity of the receptors. Furthermore, expression of plant receptors in heterologous systems may lead to artificial results. Due to these limitations, our knowledge on cell biological mechanisms, by which, for instance, membrane-associated receptors act at the plant cell surface, traffic inside the plant cell and induce early cellular responses, is restricted.
To overcome these limitations, we applied one-chromophore fluorescence lifetime microscopy (ocFLM), combined with wavelength-selective fluorescence microscopy, to plant cells in their tissue environment in Arabidopsis thaliana at high local resolution. Our ocFLM system consisted of a confocal sample scanning microscope (CSSM), a spectrally integrating detector for measuring fluorescence intensity and a time-correlated single-photon counting board for recording fluorescence lifetime decays, which was custom-built in our lab [19]–[20]. For plant material, light-grown seedlings expressing a BRI1-GFP fusion protein were used. BRI1, a plasmalemma-bound receptor kinase for plant steroids like brassinolide (BL) [21], recycles through endosomes [22]–[23] and regulates many aspects of growth and differentiation, including cell expansion [24].
As shown here, our combined optical-spectroscopic application, together with a novel data analysis approach using BRI1-GFP as a model receptor, provides unprecedented insight into cells and opens up new frontiers for in vivo dynamic, quantitative analysis of molecular and subcellular processes at high local resolution.
Results
Differentiation of GFP and fluorescence background
To differentiate between background fluorescence and the BRI1-GFP signal, we recorded a two-dimensional fluorescence intensity image over the plasmalemma-cell wall area of BRI1-GFP-expressing and wild type seedlings in root and shoot (cotyledon) cells. In contrast to the spectra of non-transformed wild type cells (Fig. 1A and B, black dots), the spectra of the BRI1-GFP-expressing cells showed a higher overall intensity and two main peaks (Fig. 1A and B, green dots). These two peaks are typical of and specific for GFP in aqueous solution (Figure S1) [25]. However, the spectra recorded from the plants differed significantly and the shoulder amplitudes and intensity ratios of the two maxima varied between root and cotyledon cells (Fig. 1A and B). These data indicate that the degree and properties of autofluorescence depend on the cell type and the autofluorescence strongly interferes with the spectrum of GFP fluorescence emission. Secondly, we recorded fluorescence lifetime decay traces from a selected probe volume with pulsed laser excitation in living plant cells. At the maximum of fluorescence emission between 500 and 512 nm of BRI1-GFP expressing hypocotyl cells (Fig. 1B), the lifetime was characterized by a mono-exponential decay (Fig. 1C) typical for GFP (Figure S1) [26]–[27]. In contrast, the background autofluorescence, which was recorded at the identical wavelength range in wildtype hypocotyl cells, strongly deviated from the mono-exponential decay function (Fig. 1D). An acceptable fit to the experimental data with respect to the average lifetime and amplitude could only be achieved by a multi-exponential decay function (Fig. 1E, see Table S1 for additional information on the fitting parameters of all lifetime decay traces shown here).
Furthermore, we were faced with the problem that the cell wall in the CSSM images appeared to be much thicker than when it was determined by transmission electron microscopy (TEM) (Fig. 2). However, one has to take into account the non-point-shaped dimension of the confocal laser beam focus. When this is considered, the measured full width at half maximum (FWHM) values of the Gaussian fits of the fluorescence intensity distribution of 425 nm for the periclinal cell wall (Fig. 2A) and 774 nm for the anticlinal cell wall (Fig. 2B) reflect a thickness of 83 nm and 432 nm, respectively (see Text S1 for calculation). The values of the periclinal cell walls are, therefore, consistent with those determined by TEM (about 45 to 100 nm; Fig. 2C; Table S5). The width of the anticlinal walls detected by our fluorescence intensity approach was still too large to correspond to our TEM measurements. However, to understand the values determined for the longer anticlinal walls, one has to take into account that a cell wall slanted to a few degrees appears to have a higher CSSM-measured thickness. For instance, imaging cell membranes bordering a cell wall with a real thickness of 100 nm at a slant of 30° generates a FWHM value of around 730 nm (see Text S1 for calculation). Thus, the prevailing larger FWHM values of the anticlinal cell wall measurements can be explained by their higher bending probability which results in higher slanting effects in the focus of the confocal microscope. Therefore, for an accurate determination of small changes in the expansion of plasmamembrane-cell wall areas, the selected section has to be kept in tight focus during the entire analysis, which is enabled by our experimental CSSM setup.
In addition, the differences of GFP and background fluorescence with respect to their spectra and fluorescence lifetime enabled us to choose the appropriate experimental set-up for the distinction of subcellular compartments such as the plasmalemma and the cell wall (Fig. 3). Thus, we used the emission range at around 500 nm for recording GFP fluorescence and the range at around 600 nm for recording cell wall autofluorescence (hatched bars in Fig. 3A).
Rapid BL-induced cell wall expansion in vivo
We next addressed the problem of real-time measurement of possible physiological effects of BRI1-GFP at subcellular level in living plant cells. Former studies have shown that BL does not alter the fluorescence intensity, the number of vesicles in the endosomal pool and the intracellular distribution of BRI1-GFP in root cells [22]. This is in agreement with our observations (Fig. 4A to C, Fig. 5 and data not shown). However, the local fluorescence intensity of BRI1-GFP as a function of BL, time and a defined subcellular area was not yet studied. We therefore, recorded fluorescence intensity profiles over selected plasmalemmata-cell wall sections before and after treating the cells for 15 to 30 min with 10 nM BL. The intensity profiles enabled us to discriminate between the fluorescence signal of the proper plasmalemmata-cell wall section and membrane vesicles, which budded from the plasmalemmata during the incubation time. As shown in Fig. 4A–D and Fig. 5, the treatment of seedlings with BL induced an expansion of the BRI1-GFP signal in the plasmalemma-cell wall section of the root cells within 30 min. This response was also observed in hypocotyl cells, where BL induced an expansion of the BRI1-GFP signal of two neighboring cells, so that the plasmalemmata became optically distinguishable (Fig. 4E and F). The degree of expansion did not only depend on the cell type but also on the position of the measured section along the cell wall of individual cells (Fig. 5). The Gaussian fitting of the GFP intensity profiles of more than 30 independent sections measured in several individual cells from 5 seedlings revealed that the fluorescence signals expanded around 34±22% (n = 31, p = 0,0003) in response to BL treatment (see Table S2 for the single measurement values).
The spatial separation of the plasmalemmata could have been caused by BL-induced plasmolysis or BL-induced cell wall expansion. Therefore, we determined the spatial behavior of the cell wall in response to BL treatment in BRI1-GFP-expressing seedlings. The measurement of fluorescence from different subcellular origins was possible as demonstrated before (Fig. 3). The cell wall autofluorescence expanded around 41±24% (n = 29, p = 0,0145) after brassinolide treatment coincidentally with the separation of the plasmalemmata in the analysed cells (see Table S3 for the single measurement values and Fig. 6A as an example). A BL-induced expansion of cell wall by 49±29% (n = 15, p = 0,0131) was also observed when the BRI1-GFP expressing seedlings were stained with the cell wall-staining dye Calcofluor (Fig. 6B, see Table S4 for the single measurement values).
We also carried out a TEM analysis of control and BL-treated (30 min) root cells. Root tips from two seedlings of each were frozen under high pressure, freeze-substituted in osmium tetroxide containing acetone, embedded in epoxy resin, cut and subjected to TEM. Using the TEM images, the width of 72 periclinal cell walls of each was measured, and the mean width calculated. The measurements resulted in a wall width of 62,5±10,8 nm for the control and 64,9±10,1 nm for BL-treated root tip cells (Fig. 7; see Table S 5 for the single measurement values). Thus, a statistically significant difference with high confidence between BL-treated and mock-treated seedlings (p = 0,0845) could not be observed by using TEM. We realized, however, that the variation of the wall width between individual cells and within an individual cell was high and ranged from 47 to 88 nm in the mock-treated and from 49 to 94 nm in the BL-treated root tips (Table S 5; see Discussion for the set of difficulties with respect to the TEM measurements). In addition, our data showed that the cellular structures including the plasmalemmata and cell walls were normal in BL-treated as well as in untreated cells (Figs. 2 and 7). Furthermore, there was no detachment of the plasmalemmata from the cell wall in response to BL treatment (Fig. 7). The latter observation excludes a possible plasmolytic cause for the BL-induced expansion in the BRI1-GFP signal.
To determine the specificity of the response, we carried out identical experiments on seedlings, expressing plasmalemma-located aquaporin-GFP [28] and wildtype seedlings. Our experiments revealed a slight BL-induced separation of adjacent GFP signals by 10±8% (see Table S6 for statistics and single measurement values; Fig. 8A–F) in aquaporin-GFP expressing seedlings and a slight expansion of the cell wall autofluorescence by 18±16% in wild type seedlings (see Table S7 for statistics and single measurement values) without general statistical significance. We obtained similar results, when Calcofluor-stained cell walls or the autofluorescence of the cell walls in aquaporin-GFP-expressing cells were measured (Fig. 8G–H; data not shown).
Monitoring the environment of plasmalemma-bound GFP fusion proteins in vivo
The lifetime of GFP fluorescence provides information about the physical and chemical environment of the fluorophore and, thus, the GFP fusion protein [29]–[30]. In addition to fluorescence intensity, we recorded GFP fluorescence lifetime decay traces across plasmalemmata-cell wall sections in hypocotyl cells of aquaporin-GFP and BRI1-GFP expressing seedlings at up to 200 nm intervals. The measurements were based on a different but sufficient number of fluorescence counts (Table S1), which is reflected in the error calculation [31]. We observed significant differences in GFP fluorescence lifetime across plasmalemma-cell wall sections and regularly also between adjacent cells for both aquaporin-GFP and BRI1-GFP (Fig. 9A and B). A detailed subcellular analysis revealed that the most significant differences in BRI1-GFP lifetime existed within the cell between the cytoplasm, plasmalemma and cell wall (Fig. 9C).
To determine whether BL also induces changes in the environment of BRI1-GFP, we analysed the fluorescence lifetime of the receptor fusion. After the addition of BL, we again observed cell wall expansion (Fig. 10A). Furthermore, BRI1-GFP fluorescence lifetime at the plasmalemmata strongly decreased within 20 min of BL addition and then remained constant (Fig. 10B, C; Figure S2). In contrast, fluorescence lifetime in the subcellular areas adjacent to the plasmalemma region remained largely unchanged (Fig. 10B). By the spatial extension of our measurements, BL-induced changes in BRI1-GFP lifetime were not only observed in sections over the plasmalemma-wall areas but also over larger cell areas (Fig. 10C). Significant changes in GFP fluorescence lifetime were never measured after mock-treatment of the BRI1-GFP line or in the BL-treated aquaporin-GFP expressing cells (Fig. 10D and E; data not shown).
BR-induced responses are cell physiological processes
Recent studies suggested that the endosomal pool of BRI1 is critical for the signaling and regulation of BL-responsive genes in Arabidopsis as shown by treatment with Brefeldin A (BFA) [22]–[23]. BFA inhibits the function of ARF-GTPases by interacting with their associated GEFs and, thus, has strong effects on the integrity of subcellular compartments and the endosomal vesicle pool by inhibiting intracellular trafficking pathways [32]–[33]. We, therefore, addressed the question whether BFA treatment also interferes with BL-induced cell wall expansion and BRI-GFP fluorescence lifetime. In the presence of the inhibitor BFA compartments appeared and both processes were strongly inhibited, suggesting that an intact intracellular trafficking system is required for their execution (Fig. 11 and Figure S3).
Discussion
Specific GFP versus unspecific compartment fluorescence
As shown in Figure 1, there is a significant, cell-type specific background fluorescence signal which mainly derives from the wall of the plant cell. This unspecific background fluorescence can be differentiated from the GFP signal by its spectra and also by its characteristic fluorescence decay pattern. Whereas GFP fluorescence shows a prototypical monoexponential decay function, background fluorescence can only be described by a multiexponential decay function. This suggests that the unspecific background fluorescence at the excitation wavelength of 473 nm originates from different components inside the cell wall, which have different excited-state lifetimes. Thus, the combination of wavelength- and time-resolved fluorescence spectroscopy enables us to distinguish unambiguously between a specific signal and background fluorescence in a cell type-specific manner, dispensing with the use of additional fluorescent dyes, which might interfere with cellular processes. These differences in lifetime also allowed us to establish a procedure for the efficient background correction and, thus, the improvement of the signal-to-background ratio in living plant cells (patent application no. 10 2009 005 953 from 19.01.09; F. Schleifenbaum, K. Elgass, M. Sackrow, K. Caesar, K. Berendzen, K. Harter, A. Meixner, manuscript in preparation)
Measurement of cell wall extension at subcellular resolution
Our data demonstrate that the cell walls significantly expand within a few minutes of BL treatment in BRI1-GFP expressing cells. A slight expansion response was also observed in aquaporin-GFP expressing and wildtype seedlings which was without clear overall statistical significance. However, when determined at single cell level, almost every cell showed a BL-induced wall expansion. This suggests that BRI1-GFP is necessary for the rapid BL-induced expansion of the cell wall but its over-expression is required to produce a significant effect. A more detailed analysis of many cells from independent seedlings showed that there is a linear relationship between BRI1-GFP fluorescence intensity and the degree of cell wall expansion (K. Elgass, A. Meixner, K. Harter, unpublished). BL is known to alter the biophysical properties of the cell wall, such as its relaxation via BRI1-mediated transcriptional and post-transcriptional activation of cell wall-loosening enzymes [24], [34]. However, such an early BL-responsive spatio-temporal and BL-dependent expansion has not yet been reported in the cell wall sections of living Arabidopsis cells.
From the resolution point of view, it should, in principle, also be possible to determine cell wall expansions of the observed dimension by TEM. However, it is not technically possible to produce a series of TEM sections at the identical subcellular region before and after the addition of BL. Thus, different seedlings have to be used for the comparative physiological analysis using TEM. The set of difficulties is documented by our own TEM analysis, which demonstrates a high variability of cell wall thicknesses between individual cells and even individual periclinal walls. The high variability is probably due to the different age of the cells, which have different wall dimensions, and the difficulty to exactly localize the site of the measurement along the wall. For instance, the wall thickness at the edge of a cell is different form the width in the middle. In addition, although we used cryofixation and freeze-substitution for the preparation of the probes, we can not entirely exclude the possibility that this treatment may influence the water status and spatial dimension of the cell wall. On the one hand, we conclude that it is almost impossible to determine weak, dynamic changes in cell wall expansion using a TEM approach. On the other hand, these findings unequivocally demonstrate the potential of our approach for the analysis of the dynamics of subcellular processes in vivo.
Changes in the close environment of membrane-bound GFP fusion proteins
The observed differences in BRI1-GFP and aquaporin-GFP fluorescence lifetime suggest strong gradients of physico-chemical parameters, such as membrane potential, pH-value, osmotic conditions and refraction index [30], within subcelluar compartments of a single cell and between adjacent cells. Thus, membrane-bound GFP fusion proteins have the potential to be highly sensitive probes for determining such parameters at sub-cellular resolution in vivo. Ongoing experiments are aimed at discovering which parameters may influence the fluorescence lifetime of BRI1-GFP, aquaporin-GFP and other fluorophore-tagged proteins in vivo.
After the addition of BL, we observed a significant change in the fluorescence lifetime of BRI1-GFP with time, which was not detected in BL-treated aquaporin-GFP expressing plants. These results can be interpreted to suggest that the activation of BRI1-GFP by BL could alter the physico-chemical properties of the plasmalemma or plasmalemma/cytoplasm interface, which do not affect the fluorescence lifetime of aquaporin-GFP. The observed changes would then be a cell physiological response initiated by BL-activated BRI1-GFP. This idea is substantiated by the fact that BFA inhibits the BL-induced change in BRI1-GFP fluorescence lifetime. As BL was shown to inhibit inwardly rectifying K+ currents in guard cell protoplasts of Vicia faba and to increase ATPase activity in Azuki bean epicotyls and maize roots, leading to proton extrusion [24], [34]–[35], it is possible that the observed change in the fluorescence lifetime of BRI1-GFP might reflect a hormone-induced alteration in ion currents and membrane potential in Arabidopsis cells which depends on the presence of BRI1-GFP. The causal relationship between BL-induced BRI1-GFP activation, the change in BRI1-GFP fluorescence lifetime and cell wall expansion is currently under elucidation.
Summary and concluding remarks
Compared to pure imaging techniques with ultra-high spatial resolution, such as STED [4]–[5], PALM [6] and STORM [7], our application of ocFLM in combination with wavelength-selective fluorescence microscopy and a novel method of data analysis allows the recording of the spectroscopic and fluorescence lifetime data of GFP fusion proteins in vivo, providing new information about their molecular properties, cell physiological function and subcellular environment. This enables the unambiguous identification and clear intracellular localisation of GFP fusion proteins in plant cells. Furthermore, ligand-induced physiological responses in plant cells and receptor dynamics at subcellular resolution can be quantitatively recorded. The use of autofluorescence as “native” fluorophore avoids the use of additional chromophors or the expression of further markers which might interfere with the plant cell's physiology. This is a marked advantage of our approach over STED, PALM and STORM. In addition, with an image acquisition time of approximately 3 h, PALM and STORM do not allow the fast recording of subcellular processes. We, therefore, propose that high resolution ocFLM combined with wavelength-selective fluorescence microscopy will not only lead to new experimental abilities in plants but also is a valuable novel tool for the accomplishment of cell biology in any cell system.
Materials and Methods
Plant material and growth conditions
BRI1-GFP [22] and aquaporin-GFP [28] expressing seedlings were grown for 5 days at 22°C and under a regime of 14 h light and 10 h darkness on agar containing 0.5 MS media. For measurements seedlings were carefully removed from the plates and transferred onto microscopic slides and covered with water. The BL solutions at the indicated concentrations and Calcofluor (1% w/v) were applied to side of the microscopic slide and allowed to diffuse to the seedling sample. For the response of the cell walls in presence of BFA, the seedlings were pre-incubated for 1 h in 50 µM BFA solution.
Optical and spectroscopic measurements
The measurements were performed with a homemade CSSM, based on a Zeiss Axiovert, and equipped with a pulsed 473 nm diode laser operating at a repetition rate of 10 MHz as source for excitation light and a high numerical aperture oil immersion objective (Zeiss Plan-Neofluar, 100×/1.30) [19]–[20]. The system was equipped with an avalanche photodiode (APD, SPCM-AQR-14) as a spectrally integrating detector to record fluorescence intensity. Spectra were obtained by a spectrograph (Princeton Instruments Acton Spectra Pro 300i, 300 grid grating) coupled to a thermo-electric cooled CCD-camera (Roper Scientific). Lifetime decays were recorded using a time-correlated single-photon counting board (Timeharp 200, Picoquant) for data acquisition and the APD as a detector. Fluorescence intensity images were obtained by raster-scanning the sample and detecting emission intensity for every spot on the sampled area. Distinct spots were addressed to record the corresponding spectra. The pulsed 473 nm diode laser (Picoquant LDH-P-C470), operating at a repetition rate of 10 MHz served as source. The setup was equipped with a 480 nm long pass filter (Semrock Razor Edge LP02-473RU-25) to block back-scattered excitation light, with a 500 nm bandpass filter (Semrock BrightLine BL500/24) to detect GFP-fluorescence or with a 600 nm bandpass filter (Semrock BrightLine BL607/36) to detect autofluorescence. The lifetime data were recorded sequentially to invesitgate the emission lifetime of the GFP label and the autofluorescence background independently from each other. Acquisition time was 5 seconds per measurement. The pixel size is diffraction-limited and the distance between each measurement point was 250 nm. Processing of fluorescence intensity images was accomplished with the WSxM software (Nanotec Electronica) [36]. The intensity decay curves were deconvolved from the instrument response function (IRF) measured without the long pass filter and then fitted by a mono- or multi-exponential decay function.
The cell physiological experiments (cell wall expansion, BRI1-GFP and aquaporin lifetime measurements) were repeated at least 3 times using independent seedling samples.
Probe preparation and transmission electron microscopy (TEM)
Seedlings were incubated in water or 10 nM brassinolide solution for 30 min at room temperature. Thereafter, root tips were high-pressure frozen and freeze-substituted in acetone containing 2.5% osmium tetroxide (60 h at −90°C, 8 h at −60°C and 8 h −35°C) before transfer for 60 min to 0°C [37]. Then, the root tips were washed five times with acetone followed by infiltration with 10% (4 h), 25% (12 h), 50% (12 h), 75% (12 h) and 100% (2 times for 15 h, each) epoxy resin. The resin was allowed to polymerise for 2 days at 60°C. Ultrathin sections of the root tip samples were stained with 3% uranyl acetate in ethanol and lead citrate and viewed in a LEO 906 transmission electron microscope [37]. 72 walls derived from two independent, mock-treated BRI1-GFP expressing seedlings and 72 walls derived from two independent, BL-treated BRI1-GFP expressing seedlings were measured.
Data analysis
The standard deviations in the Gaussian fits of the intensity profiles, as represented by the error bars, reflect the accuracy of the fit and rest on the different signal-to-noise ratio of the measurements. The FWHM-based and TEM-based wall measurements of cells before/without and after treatment with BL were performed as indicated in the Tables S 2, S3, S4, S5, S6 and S7. For statistical evaluation, the data were analysed by one-sided t-test. The number of independent measurements (n), the p-values and the number of independent seedlings are given in the legends of the Tables S2, S3, S4, S5, S6 and S7 and in Results.
The lifetime values derived from mono- or multi-exponential decay fittings. The error bars were calculated according to [31] taking into account the number of photons and the time resolution of the measurements. The BRI1-GFP and aquaporin-GFP fluorescence lifetime measurements were repeated at least three times using individual cells from at least three independent seedlings and representative results are shown. The results of the additional experiments are presented in the Figures S2 and S3.
Supporting Information
Acknowledgments
We thank Felicity de-Courcy for proofreading the manuscript, N Geldner for seeds and K Schumacher for helpful suggestions.
Footnotes
Competing Interests: The authors have declared that no competing interests exist.
Funding: The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This work was funded by Ph.D. fellowships from the state Baden-Wuerttemberg to KE and KC and a DFG grant to KH (HA2146/10-1).
References
- 1.Hood L, Heath JR, Phelps ME, Lin B. Systems biology and new technologies enable predictive and preventative medicine. Science. 2004;306:640–643. doi: 10.1126/science.1104635. [DOI] [PubMed] [Google Scholar]
- 2.Liu ET. Systems biology, integrative biology, predictive biology. Cell. 2005;121:505–506. doi: 10.1016/j.cell.2005.04.021. [DOI] [PubMed] [Google Scholar]
- 3.Miyawaki A, Sawano A, Kogure T. Ligthing up cells: labelling proteins with fluorophores. Nature Cell Biol. 2003;5:S1–7. [PubMed] [Google Scholar]
- 4.Willig KI, Rizzoli SO, Westphal V, Jahn R, Hell SW. STED microscopy reveals that synaptotagmin remains clustered after synaptic vesicle exocytosis. Nature. 2006;440:935–939. doi: 10.1038/nature04592. [DOI] [PubMed] [Google Scholar]
- 5.Westphal V, Rizzoli SO, Lauterbach MA, Kamin D, Jahn R, et al. Video-rate far-field optical nanoscopy dissects synaptic versicle movement. Science. 2008;320:246–249. doi: 10.1126/science.1154228. [DOI] [PubMed] [Google Scholar]
- 6.Betzig E, Patterson GH, Sougrat R, Lindwasser OW, Olenych S, et al. Imaging intracellular fluorescent proteins at nanometer resolution. Science. 2006;313:1642–1645. doi: 10.1126/science.1127344. [DOI] [PubMed] [Google Scholar]
- 7.Heinlein T, Biebricher A, Schlüter P, Herten DP, Wolfram J, et al. High-resolution colocalization of single molecules within the resolution gap of far-field microscopy. Chem Phys Chem. 2005;6:949–955. doi: 10.1002/cphc.200400622. [DOI] [PubMed] [Google Scholar]
- 8.Ries J, Schwille P. New concepts for fluorescence correlation spectroscopy on membranes. Phys Chem Chem Phys. 2008;10:3487–3497. doi: 10.1039/b718132a. [DOI] [PubMed] [Google Scholar]
- 9.Vale RD. Microscopes for Fluorimeters: The Era of Single Molecule Measurements. Cell. 2008;135:779–785. doi: 10.1016/j.cell.2008.11.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Fernandez-Suarez, Ting AY. Fluorescent probes for super-resolution imaging in living cells. Nat Rev Mol Cell Biol. 2008;9 (12):929–943. doi: 10.1038/nrm2531. [DOI] [PubMed] [Google Scholar]
- 11.Slaughter BD, Schwartz JW, Li R. Mapping dynamic protein interactions in MAP kinase signaling using live-cell fluorescence fluctuation spectroscopy and imaging. Proc Natl Acad Sci USA. 2007;104:20320–20325. doi: 10.1073/pnas.0710336105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Slaughter BD, Huff JM, Wiegraebe W, Schwartz JW, Li R. SAM domain-based protein oligomerization observed by live-cell fluorescence fluctuation spectroscopy. PLoS One. 2008;3 (4):e1931. doi: 10.1371/journal.pone.0001931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Maeder CI, Hink MA, Kinkhabwala A, Mayr R, Bastiaens PIH, et al. Spatial regulation of Fus3 MAP kinase activity through a reaction-diffusion mechanism in yeast pheromone signalling. Nature Cell Biol. 2007;9:1319–1326. doi: 10.1038/ncb1652. [DOI] [PubMed] [Google Scholar]
- 14.Muto H, Kinjo M, Yamamoto KT. Fluorescence cross-correlation spectroscopy of plant proteins. Methods Mol Biol. 2009;479:203–215. doi: 10.1007/978-1-59745-289-2_13. [DOI] [PubMed] [Google Scholar]
- 15.Hink MA, Shah K, Russinova E, de Vries SC, Visser AJWG. Fluorescence fluctuation analysis of Arabidopsis thaliana somatic embryogenesis receptor-like kinase and brassinosteroid sensitive 1 receptor oligomerization. Biophysical J. 2008;94:1052–1062. doi: 10.1529/biophysj.107.112003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Martini J, Schmied K, Palmisano R, Toensing K, Anselmetti D, et al. Multifocal two-photon laser scanning microscopy combined with photo-activatable GFP for in vivo monitoring of intracellular protein dynamics in real time. J Struct Biol. 2007;158:401–409. doi: 10.1016/j.jsb.2006.12.012. [DOI] [PubMed] [Google Scholar]
- 17.Li J, Wen JQ, Lease KA, Doke JT, Tax FE, et al. BAK1, an Arabidopsis LRR receptor-like protein kinase, interacts with BRI1 and modulates brassinosteroid signalling. Cell. 2002;110:213–222. doi: 10.1016/s0092-8674(02)00812-7. [DOI] [PubMed] [Google Scholar]
- 18.Böse G, Schwille P, Lamparter T. The mobility of phytochrome within protonemal tip cells of the moss Ceratodon purpureus, monitored by fluorescence correlation spectroscopy. Biophys J. 2004;87 (3):2013–2021. doi: 10.1529/biophysj.103.038521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Blum C, Stracke F, Becker S, Müllen K, Meixner AJ. Discrimination and Interpretation of Spectral Phenomena by Room-Temperature Single-Molecule Spectroscopy. J Phys Chem A. 2001;105:6983–6990. [Google Scholar]
- 20.Schleifenbaum F, Blum C, Elgass K, Subramanian V, Meixner AJ. New insights into the photophysics of DsRed by multiparameter spectroscopy on single proteins. J Phys Chem B. 2008;112:7669–7674. doi: 10.1021/jp7114753. [DOI] [PubMed] [Google Scholar]
- 21.Wang Z-Y, Seto H, Fujioka S, Yoshida S, Chory J. BRI1 is a critical component of a plasmamembrane receptor for plant steroids. Nature. 2001;410:380–383. doi: 10.1038/35066597. [DOI] [PubMed] [Google Scholar]
- 22.Geldner N, Hyman DL, Wang X, Schumacher K, Chory J. Endosomal signaling of plant steroid receptor BRI1. Genes Develop. 2007;21:1598–1602. doi: 10.1101/gad.1561307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Robert S, Chary SN, Drakakaki G, Li SD, Yang ZB, et al. Endosidin 1 defines a compartment involved in endocytosis of the brassinosteroid receptor BRI1 and the auxin transporters PIN2 and Aux1. Proc Natl Acad Sci U S A. 2008;105:8464–8469. doi: 10.1073/pnas.0711650105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Clouse SD. Brassinosteroids: Essential Regulators of Plant Growth and Development. Annu Rev Plant Physiol Plant Mol Biol. 1998;49:427–451. doi: 10.1146/annurev.arplant.49.1.427. [DOI] [PubMed] [Google Scholar]
- 25.Tsien RY. The green fluorescent protein. Annu Rev Biochem. 1998;67:509–544. doi: 10.1146/annurev.biochem.67.1.509. [DOI] [PubMed] [Google Scholar]
- 26.Lakowicz JR. Principles of fluorescence spectroscopy. New York: Kluwer Academic; 1999. [Google Scholar]
- 27.Striker G, Subramaniam V, Seidel CAM, Volkmer A. Photochromicity and fluorescence lifetimes of green fluorescent protein. J Phys Chem B. 1999;103:8612–8617. [Google Scholar]
- 28.Cutler SR, Ehrhardt DW, Griffitts JS, Somerville CR. Random GFP: cDNA fusions enable visualization of subcellular structures in cells of Arabidopsis at a high frequency. Proc Natl Acad Sci U S A. 2000;97:3718–3723. doi: 10.1073/pnas.97.7.3718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Nakabayashi T, Wang HP, Kinjo M, Ohta N. Application of fluorescence lifetime imaging of enhanced green fluorescent protein to intracellular pH measurements. Photochem Photobiol Sci. 2008;7:668–670. doi: 10.1039/b800391b. [DOI] [PubMed] [Google Scholar]
- 30.van Manen HJ, Verkuijlen P, Wittendorp P, Subramaniam V, van den Berg TK, et al. Refractive index sensing of green fluorescent proteins in living cells using fluorescence lifetime imaging microscopy. Biophysical J. 2008;94:L67–L69. doi: 10.1529/biophysj.107.127837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Zander C, Sauer M, Drexhage KH, Ko DS, Schulz A, et al. Detection and characterization of single molecules in aqueous solution. Appl Phys B. 1996;63:517–523. [Google Scholar]
- 32.Anders N, Jürgens G. Large ARF guanine nucleotide exchange factors in membrane trafficking. Cell Mol Life Sci. 2008 doi: 10.1007/s00018-008-8227-7. doi: 10.1007/s00018-008-8227-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Robinson DG, Jiang LW, Schumacher K. The endosomal system of plants: Charting new and familiar territories. Plant Phys. 2008;147:1482–1492. doi: 10.1104/pp.108.120105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Haubrick LL, Assmann SM. Brassinosteroids and plant function: some clues, more puzzles. Plant Cell Environment. 2006;29 (3):446–457. doi: 10.1111/j.1365-3040.2005.01481.x. [DOI] [PubMed] [Google Scholar]
- 35.Haubrick LL, Torsethaugen G, Assmann SM. Effect of brassinolide, alone and in concert with abscisic acid, on control of stomatal aperture and potassium currents of Vicia faba guard cell protoplasts. Physiol Plantarum. 2006;128:134–143. [Google Scholar]
- 36.Horcas I, Fernandez R, Gomez-Rodriguez JM, Colchero J, Gomez-Herrero J, et al. WSXM: A software for scanning probe microscopy and a tool for nanotechnology. Rev Sci Instrum. 2007;78:e013705. doi: 10.1063/1.2432410. [DOI] [PubMed] [Google Scholar]
- 37.Dettmer J, Hong-Hermesdorf A, Stierhof Y-D, Schumacher K. Vacuolar H+-ATPase activity is required for endocytic and secretory trafficking in Arabidopsis. Plant Cell. 2006;18:715–730. doi: 10.1105/tpc.105.037978. [DOI] [PMC free article] [PubMed] [Google Scholar]
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