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Plant Physiol, July 2002, Vol. 129, pp. 931-942 Spectral Profiling for the Simultaneous Observation of Four Distinct Fluorescent Proteins and Detection of Protein-Protein Interaction via Fluorescence Resonance Energy Transfer in Tobacco Leaf Nuclei1Biotech Center, Rutgers University, 59 Dudley Road, New Brunswick, New Jersey 08901-8520
The control of subcellular localization of proteins and their interaction with other partners in vivo are important parameters that provide clues to their function and regulation. The ability to simultaneously track multiple protein species with high resolution should provide a valuable assay system to study and characterize various types of posttranslational control pathways. In this work, we established the system and a method involving "spectral profiling" for the resolution of four different fluorescent protein tags in the same viewing field using digital imaging technology. With these techniques, we have (a) developed new derivatives of mGFP5, which is commonly used in the plant field, that are about three times brighter; (b) demonstrated that four spectrally distinct fluorescent proteins (cyan, green, yellow, and red) that are fused to a transcription factor could be stably expressed in nuclei and distinguished in tobacco (Nicotiana tabacum) mesophyll cells; and (c) shown that interaction between partners of a dimeric transcription factor can be detected by measuring fluorescence resonance energy transfer. These technologies should help one to study protein-protein interactions efficiently, especially for nuclear proteins under in vivo conditions.
The green fluorescent protein (GFP)
from jellyfish is widely used as a powerful tool in cell biology,
serving as a vital reporter for monitoring localization and dynamics of
proteins and organelles in living cells (Goodwin, 1999 In this report, we have constructed enhanced variants of GFP,
designated as ELGFP6 and ELGFP6.1, from mGFP5, which is a
plant-optimized GFP variant that has been modified to remove the
cryptic splice site as well as mutated for better temperature stability
(Haseloff, 1999
Construction of Enhanced Fluorescent Protein Variants from the Plant-Optimized GFP mGFP5 Although the mGFP5 variant constructed by Haseloff et al. (1997)
S/B Ratio of Fluorescent Proteins in Tobacco Leaves A major limitation factor for epifluorescence microscopy is S/B
because the images are created on a dark field. If the background signals are too high, the epifluorescence signals are covered by the
background signals and it cannot be observed. In plants, chlorophylls
and cell wall components are the major contributors of autofluorescence
signals (Johnson et al., 2000 We used tobacco leaves as a model case with a conventional epifluorescence microscope equipped with a cooled CCD camera for detection. One of the advantages of the CCD camera for fluorescent analysis is that we can analyze the fluorescent signals in microscopy images without expensive equipment. First, we quantitated background signal contributions in tobacco leaves with the filter set optimized for each fluorescent protein excitation/emission spectra (Fig. 2). Ideally, we should not detect any fluorescence using these filter sets because no fluorescent proteins with these optical properties are expressed in plants. The signals detected using each filter set thus are considered as background signals. Relative values of background signals may vary with different microscopy setup because physical conditions such as electronic noise, spectral sensitivity of the CCD device, and optical properties of filters, fluorescent lamp, and objective lens are all important contributing factors. Under our conditions with the BFP filter set, we observed 10 times higher background signals than that with the YFP filter set, which showed the lowest value among filter sets that we examined, and the rhodamine (RD) filter set resulted in about 7 times higher background signals than that obtained with YFP filter set (Fig. 2).
We then measured S/B values for each autofluorescent protein in tobacco
leaf cells. We expressed fluorescent proteins in nuclei that can be
easily identified under the epifluorescence microscope when these
proteins are produced. The nuclei are relatively large organelles
(10-30 µm in the tobacco mesophyll cells) and can accumulate a large
amount of proteins. Moreover, because nuclei contain relatively little
autofluorescent materials, and are normally localized away from
chloroplasts and cell walls, they are amenable to perform multicolor
labeling experiment within tissues. To localize the fluorescent
proteins in nuclei, we fused various fluorescent proteins (EBFP, ECFP,
ELGFP6.1, EYFP, and DsRed2) to a plant transcription factor TGA5 so
that the expressed proteins would accumulate in the nucleus. The TGA
transcription factor family is one of the well-characterized basic Leu
zipper proteins in plants, and is well known to form hetero- and
homodimers in vitro and in vivo (Miao et al., 1994 Nuclei accumulating each fluorescent protein were observed with the filter set optimized for each fluorescent protein's excitation/emission characteristics. The signals in nuclei were then subtracted by the average background and divided by the average of background signals obtained from mock-treated plants. This calculation gave us the S/B values for each fluorescent protein in the tissues tested (Fig. 3A). The results showed that the S/B for EYFP is approximately 5, whereas the S/B for DsRed2 is approximately 4, and these two proteins exhibited the highest S/B values among the proteins tested. The observation that the S/B value of DsRed2 is approximately 2 times higher than that of EGFP6.1 suggests that DsRed2 could be useful addition to the enhanced YFP, GFP, and CFP as fluorescent tags for obtaining high S/B images of nuclei even for tissues where chlorophyll and other pigments are abundant. As we mentioned before, the relative values of S/B may vary with different microscope and instrument settings; thus, the precise S/B values for each of the fluorescent proteins may vary depending on the experimental setup. Because the YFP filter set showed low background signals in addition to a high S/B value, we suggest that EYFP may be an optimal fluorescent protein for obtaining high S/B images with nuclei of tobacco leaves. During this study, we realized that observing plants with the CFP filter set often caused the appearance of bubbles in leaf tissues that may result from the production of oxygen by PSII upon prolonged exposure to blue light. This finding suggests that it may be difficult to observe plant materials expressing ECFP proteins for a long time (i.e. 3 s) because formation of air bubbles will produce optical aberrations. We could not visualize EBFP-TGA5-accumulating nuclei in infiltrated tobacco leaves. This probably results from high background signals in leaf tissues as previously described because we could observe EBFP fusion proteins under identical conditions using a bacteria strain that expresses EBFP fusion protein (data not shown).
To confirm that similar levels of each protein are produced under our transient assay conditions, we performed western-blot analysis with antipolyclonal GFP antibodies (CLONTECH Laboratories) using crude protein extracts from the infiltrated tissues (Fig. 3B). The results suggested EBFP, ECFP, ELGFP6.1, and EYFP fusion proteins are all expressed to similar levels. Because the antibodies that we used do not cross-react with DsRed2 protein, we could not quantitate its expression level at this point. Distinguishing a Fluorescent Protein from Other Fluorescent Proteins in a Single Viewing Frame A major concern for multicolor epifluorescence microscopy is crossover between the spectra of the different emitters. Each fluorescent molecule has characteristic absorption and emission spectra. In theory, one can selectively detect fluorescence from a particular fluorescent protein of a mixture in a single viewing field by switching the filter combinations that are optimized according to the spectral maxima of each fluorescent material. However, because the slopes of the excitation and emission spectra for the various related fluorescent proteins can overlap to various extents, a fluorescence emitter can often be detected with filter sets that are designed for observing other spectrally distinct compounds. For example, Figure 4 shows representative transformed cells resulting from infiltration with each of the vectors. The transformed cells exhibited intense fluorescence in the nucleus when observed with filter sets optimized for the particular fluorescent proteins. However, one can clearly observe the nuclear images with one or more of the other filter sets that are optimized for different fluorescent proteins. For instance, with the construct expressing ELGFP6.1-TGA5, fluorescence was observed in a nucleus with the YFP filter set and CFP filter set as well as the GFP filter set. We refer to this phenomenon as "crossover" for simplicity.
When spectrally distinct fluorescent proteins accumulate in different locations in a single viewing frame, the crossover signals can interfere with the assignment of fluorescent signals to the appropriate protein. However, because the crossover ratio is characteristic of the particular filter conditions for each fluorescent protein and it does not depend on signal intensity, we should be able to distinguish one fluorescent protein from the others in another location. Our strategy is that after we measure the crossover intensities for each fluorescent protein with each filter set, we will create the crossover intensity ratio profiles for each protein. Once we create the profiles for each protein, we should then be able to identify each nucleus that shows one of the profiles. First, we measured the fluorescence intensities of four populations of nuclei, which express ECFP, ELGFP6.1, EYFP, or DsRed2, under each of the four optical filter conditions (CFP, GFP, YFP, or RD filter set). We then subtracted the averaged-background signals from the nucleus value. The remaining value then gives us the average crossover ratio of each filter set. ECFP-expressing nuclei show 0:0.08:0.11:1.00 (RD:YFP:GFP:CFP) intensity ratio for each filter set, respectively. ELGFP6.1-expressing nuclei show a ratio of 0:0.02:1:0.04 (RD:YFP:GFP:CFP). EYFP-expressing nuclei show 0:1:0:0 (RD:YFP:GFP:CFP). DsRed2-expressing nuclei show 1.00:0.09:0:0 (RD:YFP:GFP:CFP). These results showed that the maximum crossover ratio is 0.11 of GFP filter set in CFP-accumulating nuclei, meaning that we can expect to detect CFP signals in the nuclei using our GFP filter set with approximately 10% of the intensity of CFP signals using the proper (CFP) filter set. On the other hand, we can expect to see no crossover signals with EYFP-expressing samples after removing background. Therefore, we should be able to distinguish each nucleus based on the crossover ratio (the profiles) in a single viewing frame where nuclei accumulate different fluorescent proteins. To demonstrate the feasibility of this method, we infiltrated four different A. tumefaciens strains that carry different binary vectors (expressing ECFP, ELGFP6.1, EYFP, or DsRed2 fused to TGA5) in the same area on a tobacco leaf. When older (plants in reproductive phase) tobacco plants were used, the transformation efficiency of mesophyll cells decreases and many of the cells were transformed with a single A. tumefaciens strain (N. Kato and E. Lam, unpublished data). After we inoculated the four different A. tumefaciens strains into the leaves of older plants, images were captured using filter sets optimized for the four fluorescent proteins and we analyzed the fluorescence emission intensity ratios for each nucleus as described above. The steps taken to spectrally resolve the origin of nuclear fluorescence from the four distinct fusion proteins in a single viewing field are described in Figure 5. First, we captured the images using filter sets optimized for the four fluorescent proteins. Non-background-subtracted images with each filter set are aligned in Figure 5A. Based on each of these images alone, we cannot assign unambiguously the origin for each fluorescence signals from each nucleus due to crossover of fluorescence. Second, we subtracted the background signals that are obtained from the mock-treated area in the same leaf (Fig. 5B). Third, we analyzed the crossover profiles in each nucleus area as well as non-nucleus area. Each nucleus that is marked by a red circle with numbers from 1 to 4 in Figure 5C showed a ratio of 0:0:0.07:1, 1:0.07:0:0, 0:0.03:1:0.02, and 0.06:1:0.03:0.01 (RD:YFP:GFP:CFP), respectively. Each ratio matches to one of the fluorescence protein profiles described above. Meanwhile, the non-nucleus area marked as number 5 in Figure 5C shows the ratio of 1:0.06:0.89:0.08 (RD:YFP:GFP:CFP), which does not resemble any of the fluorescence profiles for the four proteins. Therefore, we can distinguish and properly assign each fluorescence protein to the signals in the image based on the spectral profiles. The nucleus marked as number 6 shows the ratio of 0:1:0.56:0.44 (RD:YFP:GFP:CFP). This indicates that EYFP, ELGFP6.1, and ECFP proteins may be co-accumulated in the single nucleus though we cannot predict the mix ratio of the three proteins. We also cannot remove the possibility that very low levels of the other fluorescent proteins may be present in the nucleus where typical profiles were obtained for one of the proteins. The final background-subtracted composite image from overlaying the four images obtained with the different filter sets is shown in Figure 5D. Each nucleus is colored based on the profiles and image objects whose intensity profiles do not match to any of the four fluorescence proteins were removed. The co-accumulated nucleus is shown in white. From this demonstration, we concluded that one can readily distinguish each of the four different fluorescent proteins from each other in the same viewing field. We have to emphasize that one cannot easily distinguish the four fluorescent proteins with this method in cases where the nuclei contain very low amounts of fluorescent proteins with signal levels that are near or below the background, or more than two colocalized fluorescent proteins with drastically different accumulation levels. In these cases, much more sophisticated methods such as fluorescence lifetime microscopy at a pixel-by-pixel scale would be necessary to more accurately assign and quantitate the various fluorescent proteins in the tissues of concern.
Detection of Protein-Protein Interactions in Tobacco Leaf Nuclei by FRET We combined the simple transient transformation method and the
imaging methodology described above to detect protein-protein interactions of a transcription factor in a single nucleus. We studied
the dimerization of TGA transcription factors in plants using EYFP- and
ECFP-tagged fusion proteins. The basic Leu zipper DNA-binding domain of
TGA is known to form dimers in a parallel orientation. For our test
case, we fused Arabidopsis TGA5 to the 3' end of GFP variants. Figure
6A shows that DAPI staining signals overlapped with GFP signals, thus confirming the expression of these
fusion proteins is exclusively nuclear. We then mixed two A. tumefaciens strains that carry vectors expressing EYFP or ELGFP6.1 fusion proteins, and co-infiltrated them together into tobacco leaf
tissues. Three different fluorescence patterns in nuclei of the
infiltrated areas could be observed after removing the background
signals from the image as described before (Fig. 6B). In the viewing
field that we present in this figure, two nuclei were detected with the
YFP filter set. With the GFP filter set, two fluorescent nuclei were
also observed with only one of these also detected with the YFP filter
set. Thus, this nucleus must be co-expressing both ELGFP6.1 as well as
EYFP. This result demonstrated our ability to distinguish three
different expression patterns by co-infiltration with two A. tumefaciens strains. In two nuclei, one of two T-DNAs was
transferred and expressed, whereas in the third nucleus, both T-DNAs
were transferred and expressed. Our study also shows clearly that
multiple T-DNAs from different A. tumefaciens can be
simultaneously transferred and expressed in a single plant cell using
this transient expression system. This is consistent with previous
studies involving stable transformation by A. tumefaciens
strains, which indicated multiple T-DNAs can be transferred to a single
plant cell (Depicker et al., 1985
Taking advantage of the ability to express and resolve different
fluorescent proteins with our method, we performed FRET analysis to
detect protein-protein interactions between transcription factors in
planta. FRET is a phenomenon whereby a fluorescent molecule (the donor)
transfers energy efficiently to a neighboring chromophore (the
acceptor) when the emission spectrum of the donor significantly overlaps with the excitation spectrum of the acceptor. This type of
energy transfer is highly dependent on the physical distance between
the two interacting molecules and the two chromophores need to be
located within 10 to 100 Å of each other for significant FRET to occur
(Gadella et al., 1999 Gadella et al. (1999) The infiltrated tobacco leaves were observed at 4 d after infiltration using different excitation and emission filter combinations. To detect FRET, the ratio of cyan (470/30 nm) to yellow (535/30 nm) fluorescence emission under CFP excitation (436/10 nm) was measured for each nucleus examined. In each case, the fluorescence of CFP and YFP emission with CFP and YFP excitation, respectively, was also measured. When FRET occurs, the apparent quantum yield for a constant amount of CFP (measured by EXCFP:EMCFP) will decrease because some of the CFP emission will be converted to YFP. On the other hand, the apparent quantum yield for YFP (EXYFP:EMYFP) should essentially be constant. In the nuclei where only ECFP-TGA5 or EYFP-TGA5 genes was expressed, homodimers of these fusion proteins will be expressed in nuclei of the infiltrated tissues. In tissues where both ECFP-TGA5 and EYFP-TGA5 were expressed, the two different TGA5 fusion proteins would form homo- and heterodimers, and the ratio of the yellow emission to cyan emission under CFP excitation would increase due to FRET. In contrast, in nuclei where ECFP-TGA5 and EYFP-LexA/NLS were expressed, only homodimers would form and the ratio of yellow emission to cyan emission under CFP excitation should not increase. One of the key factors to be taken into account to measure FRET
accurately is to precisely measure the amount of background fluorescence (Periasamy and Day, 1999 To verify that these proteins can be expressed to similar levels, we performed western-blot analysis using anti-GFP polyclonal antibodies on the same samples that were used for microscopy (Fig. 7). The apparent size for ECFP-TGA5 and EYFP-TGA5 was detected at approximately 78 kD on the blot. Two cross-reacting peptides at 54 and 50 kD were also observed in some of our samples and may be proteolysis products. EYFP-LexA/NLS was detected at approximately 40 kD. Dual infiltrated samples of ECFP-TGA5 and EYFP-LexA/NLS showed two distinct bands at the predicted size, whereas Coomassie Brilliant Blue-stained gels showed similar amounts of proteins are loaded onto each lane. These results suggest that the proteins can be expressed to similar levels under our conditions. This is confirmed by measuring the amount of EYFP fluorescence in each of the infiltrated samples using the EYFP-specific filter set. Figure 8A shows quantitation of EYFP fluorescence (500/20 nm excitation and 535/30 nm emission) per pixel after subtraction of the background signals from individual nucleus of each infiltrated tissue sample. The data suggest that the averages of the intensities for each sample infiltrated with constructs expressing EYFP fusion proteins were not significantly different (P = 0.02 in Student's t test for EYFP-TGA5- and ECFP-TGA5-co-expressing nuclei against EYFP-LexA/NLS- and ECFP-TGA5-co-expressing nuclei). This result is consistent with that of western-blot analysis shown in Figure 7.
To detect FRET, we calculated the ratio of cyan emission to yellow emission under ECFP excitation (cyan/yellow). In this calculation, cyan/yellow emission ratio should be high in ECFP-TGA5 expressing nuclei and should be low in EYFP-TGA5-expressing nuclei. Because the emission spectrum of CFP is rather broad, there is significant crossover with the emission spectrum of YFP. More importantly, the CCD camera we have with our system is much more sensitive in the yellow region of the spectrum than the blue; thus, when excited with actinic light in the region of optimum CFP excitation, there is actually more apparent fluorescence observed with the YFP emission filter than with the CFP emission filter when raw data are compared. This explains the average value of about 0.75 observed for the CFP/YFP emission ratio in the absence of expressed YFP. In EYFP-TGA5-expressing nuclei, the mean of cyan/yellow emission under cyan excitation was 0.110, which suggests that EYFP is not excited appreciably by light from the CFP excitation filter. When we co-expressed ECFP-TGA5 and EYFP-TGA5, the cyan/yellow ratio of co-expressing nuclei (average = 0.331) was significantly lower (P < 0.0001 in Student's t test). In contrast, the cyan/yellow emission ratio in ECFP-TGA5- and EYFP-LexA/NLS-co-expressing nuclei (average = 0.627) was not significantly different (P = 0.022 in Student's t test) from that of ECFP-TGA5-expressing nuclei. These data indicate that FRET was occurring between the ECFP-TGA5 and EYFP-TGA5 heterodimers, whereas no significant FRET is detected with ECFP-TGA5 and EYFP-LexA/NLS expression. In conclusion, these results demonstrated that protein-protein interactions between transcription factors can be monitored in planta using live tissues. The combination of FRET with transient expression via A. tumefaciens represents a rapid and facile method to detect protein-protein interactions of transcription factors in living plant cells in addition to more invasive techniques such as immunoprecipitation. We showed the feasibility of multicolor observation in tobacco leaves using a typical transcription factor, TGA5, which specifically accumulates in the nucleus, a subcellular compartment that has low autofluorescence. Although this particular model system may not be representative of all subcellular compartments for all cells in a plant, we note that our novel approach of using spectral profiling in combination with digital imaging and background subtraction allowed the detection of up to four distinct fluorescent proteins that have overlapping spectral properties in a single viewing frame with leaf tissues. Thus, this work demonstrated the feasibility of using these autofluorescent proteins to simultaneously track multiple proteins in different locations within a plant cell. In addition, further optimization of the methods and tools developed in this study should open up the possibility of studying multiple protein-protein interactions in organelles other than nuclei in plant cells, such as mitochondria and plastids.
Gene Constructs Primers EL768 (5'-GGATCCTCTAGAATGAGTAAAGGAGAA-3') and EL769
(5'-GAGCTCAGATCTTTTGTATAGTTCATC-3') were used to remove the endoplasmic reticulum retention signal from mGFP5-ER (Haseloff, 1999 The EYFP-coding region of pEYFP-C1 plasmid (CLONTECH Laboratories) was
amplified with primers EL874 (5'-GGATCCTCTAGAATGGTGAGCAAGGGC-3') and EL875 (5'-GAGCTCAGATCTCTTGTACAGCTCGTC-3'), which create
BamHI and XbaI sites before the
initiation codon and BglII and SstI sites
after the last amino acid residue. The PCR product was subcloned and
sequenced to confirm as above. An HindIII- and
EcoRI-digested fragment of pEG202 (Golemis and Brent,
1992 The ECFP-coding region of pECFP-C1 plasmid (CLONTECH Laboratories) was amplified with primers EL874 and EL910 (5'-GAGCTCAAGCTTCTTGTACAGCTCGTC-3'), which create BamHI and XbaI sites before the initiation codon and HindIII and SstI sites after the last amino acid residue (Lys). The PCR product was then subcloned and sequenced as above. Arabidopsis TGA5 isolated from a meristem-enriched cDNA library was amplified using primers EL424 (5'-CGGATCCATGAGAAACATCAGTCTCAAC-3') and EL426 (5'-CGTCGACTCAAGATCCTCTCTTGGTCTGGCAA-3'), which create a BamHI site and initiation codon before the first amino acid residue (Arg) of the cDNA clone and BglII sites after the last amino acid residue (Glu). Fusion of the TGA5 sequence with those of EYFP and ECFP were carried out by appropriate subcloning strategies. Spectroscopy A model F-4500 fluorescence spectrophotometer (Hitachi Instruments, San Jose, CA) was used to measure the fluorescence spectra of mGFP5, ELGFP6, and ELGFP6.1 proteins, as well as to quantitate their relative fluorescence yield. Agrobacterium tumefaciens Infiltration A. tumefaciens strain GV3101/pMP90 was
transformed according to Chen et al. (1994) Microscopy A TE200 (Nikon, Tokyo) inverted microscope equipped with Nikon 60× numerical aperture (N.A.) 1.2 objective lens, Nikon 20× N.A. 0.75 objective lens, and 10× N.A. 0.25 objective lens. The images were captured with a cooled, 12-bit CCD camera, model CH350 (Photometrics, Tucson, AZ). All filters were purchased from Chroma Technology Corporation. The filters for EYFP (YFP filter set) were: exciter, 523/20 nm; emitter, 568/50 nm; and JP3 beamsplitter. Exciter 460/20 nm, emitter 500/22 nm, and JP3 beamsplitter were used for ELGFP6.1 (GFP filter set). Exciter 436/10 nm, emitter 470/30 nm, and JP4 beamsplitter were used for ECFP (CFP filter set). Exciter 380/30 nm, emitter 445/40 nm, and BFP/GFP beamsplitter were used for EBFP. Exciter 555/28 nm, emitter 617/73 nm, and 810 beamsplitter were used for DsRed2 (RD filter set). When FRET analysis was performed, exciter 500/20 nm, emitter 535/30 nm, and JP4 beamsplitter was used to observe the EYFP fluorescence. The JP4 beamsplitter was also used for FRET analysis. Image Processing The images were analyzed by softWoRx software (Applied Precision, Issaquah, WA) on an Octane Workstation (Silicon Graphics, Mountain View, CA). The images were processed by Adobe Photoshop 5.5 (Adobe Systems, Mountain View, CA) on a PowerMac G4 computer (Apple Computer, Cupertino, CA) for the final display. Some of the imaging data were transferred to Excel (Microsoft; Redmond, WA) for calculations. Quantification of Background Signals in the Tobacco Leaves One- to 2-month-old tobacco leaves were dissected and placed on the microscope stage supported by a glass slide with a coverslip. Distilled water was used as mounting medium, and abaxial side of the leaf was facing the objective lens. Fluorescent images were captured on a 256- × 256-pixel CCD camera with a 10× objective lens with 0.3-s exposure time. The filter sets were switched automatically without changing the viewing field. This resulted in creating five images (for RD, YFP, GFP, CFP, and BFP filter set) for the same area of observation. Three independent experiments were performed using three different plants. The sum of the intensity values for each filter set was then divided by the total pixel number to obtain the background value. The final background intensity values (MBs) were calculated by the following method: MB is the mean of B in three independent experiments; B = SI/P, where B = background intensity in each experiment, SI = sum of intensity values in the observed area, and P = total pixel numbers in the observed area (256 × 256). Calculation of S/B of Fluorescent Proteins in Tobacco Mesophyll Cells The infiltrated tobacco leaves were dissected out and then
observed under conditions described above. Three independent
experiments were performed using three different plants. The nucleus
areas, which are clearly evident by their shape and size, were then
selected from the images. The selected nuclei would contain at least 2 times higher signal values than that of background. The intensity values of each fluorescent protein in the observed nuclei were then
subtracted by the background values that were obtained previously as
described above. The background-subtracted values were then averaged
per nucleus. Thus, the final signal-to-background ratios (MSBs) were
calculated by the following method: MSB is the mean value of SB. Sample
number (n) for ECFP is 57, EGFP6.1 is 65, EYFP is 100, and DsRed2 is 54.
Creating Images of Fluorescent Protein- Accumulating Nuclei The mesophyll cell images which expressed one of the fluorescent protein were taken with a 60× objective lens. The filter sets were switched automatically without changing the viewing field to obtain the images with each filter set, which resulted in creating four images for each fluorescent protein. The fluorescence intensities in a given image were recorded on the CCD with 12-bit (0-4,095) dynamic ranges. Under our conditions, the averages of noise signals are approximately 50 to 80 (Fig. 2). We set up shutter speeds and magnifications so that all fluorescence intensity values would be in range (maximum 4,094). The resultant image data was then scaled from 12-bit data (0-4,095) to be displayed as 8-bit (0-255) gray level image due to limitation of our monitor and printer capability. For example, for image data intensities ranging from 0 to 1,000, the computer will convert the detected signals in the range of 0 to 1,000 to the display range of 0 to 255. If the minimum scale is 500 and the maximum is 3,000, all values 500 and below of the original data will be displayed as zero (black); all values 3,000 and above are displayed as 255 (white). To add color in the images, the images are saved as 8-bit gray scale TIFF images and then transferred to Adobe Photoshop. Therefore, the actual intensity data and the image may not be correlated in the resultant images. Making Fluorescent Profiles in the Nucleus The infiltrated areas of tobacco leaves were dissected out and then observed with a 10× objective lens. Three independent experiments were performed using three different plants. The filter sets were switched automatically without changing the viewing field to obtain the images for each filter set, which resulted in creating four images for each fluorescent protein. The background values of each filter set were then subtracted from each pixel of the images. The nucleus areas, which are judged by its shape using the image that was taken with the optimal filter set for the particular fluorescent protein (i.e. the images that were taken with RD filter set for DsRed2-expressed sample) were then selected. The selected nuclei would contain at least 2 times higher signal values than that of background. The same areas were selected in the images that were taken using the other filter sets (i.e. the images taken with YFP, GFP, and CFP filter set for DsRed2-expressed samples). If the resultant intensity became less than 0, we scaled its value to 0. The intensity ratios for each nucleus area on the same viewing field
with different filter sets were then calculated. The values obtained
with the optimal filter set were scaled as 1. The resultant ratio was
averaged per nucleus. Therefore, the final ratios (MRs) were calculated
by the following method: MR is the mean of R (ECFP
n = 57, EGFP6.1 n = 65, EYFP
n = 100, and DsRed2 n = 54),
and R = Q/S, where R = crossover ratio for a query filter combination in a nucleus, Q = background-subtracted intensity values for nucleus with a query filter set = IN Multicolor Observation The infiltrated leaves from tobacco in the reproductive phase were observed with a 20× objective lens with each filter set without changing the field of viewing. The R values for each filter set were calculated for each nucleus. FRET Analysis A. tumefaciens carrying the binary vector expressing ECFP-TGA5, EYFP-TGA5, or EYFP-LexA/NLS was used to infiltrate tobacco leaves. Five different combinations of infiltrations were performed (ECFP-TGA5 alone, EYFP-TGA5 alone, ETFP-LexA/NLS alone, ECFP-TGA5 and EYFP-TGA5 mix, and ECFP-TGA5 and EYFP-LexA/NLS mix). The abaxial sides of the infiltrated tobacco leaves were observed with a 60× objective lens. When two different proteins were expressed in the same sample, the nuclei expressing both ECFP and EYFP were identified by switching the YFP and CFP filter set. The nuclei detected by both filters were selected. The cell images were taken with three different filter sets (emission filter:excitation filter = 470/30:436/10 nm, 535/30:500/20 nm, and 535/30:436/10 nm) by switching the excitation and emission filters, which resulted in creating three images for one nucleus. The same areas in the nucleus were selected from each image for FRET analysis. Background values were obtained from cytosolic areas of the same cells for each filter set. The averaged values of background signals (per pixel) were used to subtract the background from the selected nucleus area. The background-subtracted values for each filter set were then recorded. The ratio of cyan (470/30 nm) to yellow (535/30 nm) fluorescence emission under CFP excitation (436/10 nm) was measured for individual nuclei. In each case, the fluorescence of CFP and YFP emission with CFP and YFP excitation respectively was also measured. The EYFP emission intensities and the ratios of cyan to yellow fluorescence emission under CFP excitation were then subjected to Student's t test to determine the P value. Thus, FRET was measured in our samples by the following method: Dy, YFP emission (500/20 nm ex, 535/30 em) intensity of a nucleus where only donor proteins (ECFP-TGA5) are expressed; Ay, YFP emission intensity of a nucleus where only acceptor proteins (EYFP-TGA5) are expressed; Ny, YFP emission intensity of a nucleus where only negative control of acceptor proteins (EYFP-LexA/NLS) are expressed; DAy, YFP emission intensity of a nucleus where both donor and acceptor proteins are expressed; DNy, YFP emission intensity of a nucleus where both acceptor and negative control proteins are expressed; Dc, CFP emission (436/10 nm ex, 470/30 em) intensity of a nucleus where only donor proteins are expressed; Ac, CFP emission intensity from a nucleus where only acceptor proteins are expressed; Nc, CFP emission intensity of a nucleus where only negative control for acceptor proteins are expressed; DAc, CFP emission intensity of a nucleus where both donor and acceptor proteins are expressed together. DNc, CFP emission intensity of a nucleus where both donor and negative control proteins are expressed together; Df, FRET emission (436/10 nm ex, 535/30 em) intensity of a nucleus where only donor proteins are expressed; Af, FRET emission intensity of a nucleus where only acceptor proteins are expressed; Nf, FRET emission intensity of a nucleus where only negative control of acceptor proteins are expressed; DAf, FRET emission intensity of a nucleus where both donor and acceptor proteins are expressed; and DNf, FRET emission intensity of a nucleus where both acceptor and negative control proteins are expressed. Background signals in each filter condition are measured from an area of the cytosol in the same cell. Averaged values for the signal per pixel were multiplied by the pixel number in each nucleus studied. The resultant values were used as background values for each nucleus examined and the values shown were those obtained after background subtraction. For each nucleus examined, values of Dy (n = 13), Ay (n = 13), Ny (n = 11), DAy (n = 31), and DNy (n = 21) were plotted. Dy was used to confirm that little or no crossover of donor fluorescent proteins. Ay, Ny, DAy, and DNy were used to confirm similar levels of protein accumulations by Student's t test. Dc/Df (n = 13), Ac/Af (n = 13), Nc/Nf (n = 11), DAc/DAf (n = 31), and DNc/DNf (n = 21) were calculated and plotted. Dc/Df, Ac/Af, and Nc/Nf were used to confirm the crossover ratio of FRET filter combination. Dc/Df, DAc/DAf, and DNc/DNf were used to test FRET phenomenon by Student's t test. If the result of Student's t test with Dc/Df and DNc/DNf showed no significant difference and the result of Student's t test with DAc/DAf and DNc/DNf showed a significant difference, it would suggest the existence of FRET between donor and acceptor proteins. Because each nucleus may accumulate different amount of donor and acceptor proteins, statistical analysis of data collected for a large number of individual nuclei are required. Western-Blot Analysis Leaf tissues (2- × 2-cm discs) after observation were collected
in 2-mL tubes and submerged in liquid nitrogen. The frozen samples were
stored at
We thank Jim Haseloff for the mGFP5-ER construct.
Received March 13, 2002; returned for revision April 1, 2002; accepted April 11, 2002. 1 This work was supported by the Plant Genome Research Program of the National Science Foundation (grant nos. 9872636 and 0077167) and in part by the Charles and Johanna Busch Memorial Fund at Rutgers University (grant no. 6-49142).
2 Present address: Laboratoire de Génétique Moléculaire des Plantes, Université J. Fourier et Centre National de la Recherche Scientifique (Unité Mixte de Recherche 5575), Boite Postale 53, 38041 Grenoble cedex 9, France.
* Corresponding author; e-mail Lam{at}aesop.rutgers.edu; fax 732-932-6535.
www.plantphysiol.org/cgi/doi/10.1104/pp.005496.
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