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* Institute of Chemistry, University of Potsdam, Potsdam-Golm, Germany;
Max Planck Institute of Molecular Plant Physiology, Golm, Germany;
Technical University of Graz, Institute of Analytical Chemistry, Graz, Austria; and
Institute of Biochemistry and Biology, University of Potsdam, Potsdam-Golm, Germany
Correspondence: Address reprint requests to Dr. Elmar Schmälzlin, Tel: 49-0-331-977-5176; E-mail: schmaelzlin{at}chem.uni-potsdam.de.
| ABSTRACT |
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| INTRODUCTION |
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A prerequisite for these adaptive responses is the existence of a mechanism by which the internal oxygen status is being sensed. Unfortunately, knowledge on the molecular mechanisms underlying the regulation of the cellular oxygen status is limited (8
10
). A major bottleneck for this research is that the techniques currently available for measuring oxygen do not permit intracellular measurements in plants. The only technique that allows oxygen measurements at a high spatial resolution is a handmade Clark-type oxygen electrode, adapted to a glass needle with a diameter between 5 and 20 µm (11
,12
). However, this method measures relative oxygen levels rather than absolute intracellular oxygen concentrations. Furthermore, the constant consumption of oxygen by the electrode affects the internal oxygen concentration of the cell, which is unfavorable when the adaptive mechanisms that regulate the internal oxygen status are under investigation.
In animal cells, oxygen has been measured using miniature beads consisting of phosphorescent sensor molecules entrapped in a matrix, so-called optical probes encapsulated by biologically localized embedding (PEBBLEs), which exhibit an oxygen-dependent red phosphorescent signal (13
18
). Unfortunately, this technique cannot be readily adopted for application in plant cells because of interference by the strong autofluorescence of plant cells in the spectral range of the sensor signal.
In this article, a method is presented to discriminate between the oxygen-dependent phosphorescence signal of Pt(II)-tetra-pentafluorophenyl-porphyrin (PtPFPP; 1820) encapsulated in polystyrene microbeads, and the strong autofluorescence of plant cells. Using different modulation frequencies to excite the oxygen probe allows the separation of sensor phosphorescence and cell autofluorescence, which mainly arises from chlorophyll. The method is based on the large differences in the respective lifetimes. Chlorophyll shows lifetimes in the sub-10-ns range, which is negligibly small in comparison to the microseconds' lifetime of PtPFPP. Injecting the probe beads into photosynthetically active cells enabled the measurement of absolute intracellular oxygen concentrations in real-time. The method has been established using cells of the green alga Chara corallina, which is a well-characterized plant model species for microinjection studies.
| THEORETICAL BACKGROUND |
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The relation of luminescence lifetime and quencher concentration is described by an adapted Stern-Volmer equation (22
),
![]() | (1) |
0 and
are luminescence lifetimes in the absence and the presence of a quencher; KSV is the quenching constant; [Q] is the quencher concentration; and x is the quenchable fraction of the dye molecules. Due to matrix effects of the microbeads in which the sensor dye is encapsulated, only a fraction x of the dye molecules can interact with oxygen. The remaining fraction 1 x is not significantly quenched.
If a luminophore is excited with sinusoidal modulated light, the luminescence lifetime can be determined by measuring the phase shift between the excitation and the luminescence light. Emission of a luminescent signal does not occur simultaneously with excitation, but is delayed depending on the lifetime of the excited state of the molecule. The size of the phase shift
is given by
![]() | (2) |
is the angular frequency of the sinusoidal modulation (21
app is detected. In such cases, an apparent lifetime
app will yield from Eq. 2, instead of the actual sensor lifetime
.
In contrast to the actual lifetime, the apparent lifetime depends on the modulation frequency. This allows the determination of an actual sensor lifetime by measuring apparent lifetimes at different frequencies. In the presence of two signals, the dependency of
app on the modulation frequency
and on the respective lifetimes of the signal sources
1,
2 can be described by (24
,25
)
![]() | (3) |
2 can be assumed to be zero due to its very short lifetime (a few nanoseconds only) as compared to
1, which is in the range of microseconds.
The steady-state intensity ratio I1:I2 of phosphorescence and autofluorescence is independent from the modulation frequency. For a measurement carried out at two different modulation frequencies, Eq. 4 can be derived from Eq. 3:
![]() | (4) |
app,
and
app,
at two modulation frequencies
and
allows the calculation of the respective apparent lifetimes as
app,
and
app,
by using Eq. 2. Solving Eq. 4 then results in the oxygen-dependent sensor lifetime
1. The actual oxygen concentration is calculated by inserting
1 into Eq. 1. | MATERIALS AND METHODS |
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15,000 was used. After dialysis the residue was sonicated and ready for use. The resulting beads had a mean diameter of 300 nm, but because of aggregation, clusters of up to 1 µm could be formed. Before use, the beads (30 µl of a 10% (w/w) aqueous suspension) were incubated for 10 min in a 1.5 mg ml1 aqueous protein solution (bovine serum albumin, fraction V, Roth, Karlsruhe, Germany). Subsequently, the microbeads were centrifuged for 5 min at 14,000 rpm and carefully washed in H2O. Finally, the pellet was taken up in 300 µl water and sonicated for 1 h.
Calibration and cross-reactivity tests
The beads were suspended in aqueous test solutions or in cell extract as indicated. For calibration, suspensions were aerated with premixed gas (Messer-Griesheim GmbH, Düsseldorf, Germany) containing various oxygen concentrations (0, 5, 19, 38, 57, 100, 143, 191, and 287% air saturation of oxygen; 350 ppm CO2 supplemented with nitrogen; 100% air saturation of oxygen corresponds to 21% volume content). The phosphorescence lifetimes at the various oxygen concentrations were determined as described below. Unless stated otherwise, measurements were performed at 23°C. Cell sap was collected by grinding tissue in an ice-cooled mortar. Insoluble cell material was removed by centrifugation. To check the oxygen-sensor beads for cross-reactivity, the lifetime values yielded in test solutions were compared with the values measured in pure water.
Microinjection of the microbeads
Side branches of the algae Chara corallina were placed in a petri dish containing Chara pond water (27
) supplemented with 100 mM mannitol to reduce cell turgor. The sensor beads were injected into a cell of the branch using a glass needle (Fig. 1). These borosilicate glass microcapillaries (M1B150-3, WPI, Berlin, Germany) were pulled with a vertical 3P-A Patch Pipette Puller (List-Medical, Darmstadt, Germany). Positioning of the microcapillaries and injection into the cells (presumably in the major vacuole of the cell) was performed using an Eppendorf micromanipulator (5171, Eppendorf, Wesseling-Berzdorf, Germany) that was connected to an Optiphot-2 epifluorescence microscope (Nikon, Tokyo, Japan). Injection of the aqueous microbeads suspension took <30 min using a Pneumatic Pico Pump (PV830, WPI, Berlin, Germany) with air pressure of
40 psi. The progress of the injection was controlled by observing a constant influx of the beads which resulted in increasing phosphorescence of the cell.
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Measuring setup
As excitation source, a cyan LED lamp (Luxeon Star, Lumileds Lighting, San Jose, CA; wavelength peak at 505 nm) with a convex lens and green bandpass filter (540 ± 30 nm full-width at half-maximum) was positioned under the petri dish. To collect the signal, a glass fiber (200/230 µm hard-clad silica) was positioned at the cell surface using a micromanipulator. The light was guided to a collimator (Edmund Optics, Barrington, NJ) and after passing a 532-nm longpass and a 650-nm bandpass filter, the signal was detected using a red-sensitive photomultiplier tube (Hamamatsu R955, Hamamatsu City, Japan). The current of the photomultiplier was converted into voltage by a preamplifier (Femto DLPCA-200, Berlin, Germany). The phase shift of the signal was measured by a digital lock-in amplifier (Stanford Research SR830, Sunnyvale, CA), which simultaneously served as a sinusoidal frequency synthesizer for the custom-built driver circuit of the green excitation LED. Control of the lock-in amplifier and data evaluation was done on a PC, using Microsoft Visual Basic 6.0. A blue LED (Luxeon Star, Lumileds Lighting, San Jose, CA; wavelength peak at 455 nm) with a blue 510-nm shortpass filter was used as a nonmodulated light source to stimulate photosynthesis. Fig. 2 shows a schematic diagram of the experimental setup.
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eosin = 3.1 ns (24
1 were evaluated by the software by using Eqs. 3 and 4. The corresponding oxygen content was determined by using the calibration curve (Fig. 4 A). Depending on the signal intensities, this method needs up to 1 min, which is long for real-time measurements. To allow a much faster monitoring, the following procedure was developed: At an arbitrary oxygen content c0, the sensor lifetime
1,c0 and the corresponding ratio (I1,c0:I2) were determined at the beginning of a measurement as described above. If the luminescence lifetime of a molecule is changed by a quencher, the ratio of the steady-state luminescence intensities corresponds to the ratio of the respective lifetimes (28
![]() | (5) |
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![]() | (6) |
1 to be calculated from
app,
as measured at one single modulation frequency
, only. Subsequently, this real-time monitoring was done at 6 kHz. The apparent phase shift was read every 0.5 s and
1 and the corresponding oxygen concentration were calculated using the calibration curve shown in Fig. 4 A. | RESULTS AND DISCUSSION |
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As for all plant species, the spectral composition of the emission of autofluorescent light of Chara chlorophyll is similar to the signal of the PtPFPP beads (Fig. 3), preventing background elimination using optical filters. Therefore, we developed a multifrequency phase-modulation technique, which uses the phase shift of the luminescent signal as a measure of the oxygen concentration. Measuring at two different frequencies allows an evaluation of the phase shift of the sensor signal, even if there is a complete spectral overlap with autofluorescence. Compared to ratiometric methods, where the intensity ratio of the signals of the sensor and a nonquenchable reference dye is determined (16
,17
), measuring the phase shift exhibits a further crucial advantage in that the phase shift of the sensor signal is independent of the sensor concentration. As a result, no reference dye and, therefore, no spectral discrimination within the photodetector setup is required. As compared to time-resolved measurements, at which the sample is excited with a pulse of light and the time-dependent intensity of light emission following the excitation pulse is detected repetitively (24
,28
), the phase-modulation technique is much faster. When long-lifetime phosphorescence decay curves are recorded, the pulse repetition rate is limited, increasing the time for one single measurement cycle. Especially when the signal intensity is weak, the cycle has to be repeated very often, which will result in overall measurement times of many seconds or even minutes, preventing real-time monitoring.
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app of the luminescent signal that is measured will arise from the superposition of different signal sources. One source is the oxygen sensor with an oxygen-dependent lifetime
1. At a given modulation frequency
, the sensor emits a phosphorescence signal 1 with a certain phase shift
1. The second signal is composed of several components, all having zero lifetimes: autofluorescence of the plant cells, a fluorescent fraction of the sensor luminescence, and residual excitation light that inevitably reaches the photodetector due to the properties of optical filters. The negligibility of the nanosecond fluorescence lifetime of cell substances (35
2 = 0, and therefore,
2 = 0. Based on the absorption spectra of the PtPFPP microbeads and Chara cells, modulated green light was chosen for excitation of the oxygen sensor even though the phosphorescence intensity of the sensor is weaker as compared to the excitation at its 390-nm absorption maximum (Fig. 3 A). The first reason for this is that the high energy of short wave (near-)UV radiation may cause damage to cells. Secondly, using green light within the range of 500570 nm causes minimal autofluorescence, since the absorption spectrum of chlorophyll is lowest in this range. As a result, the ratio between sensor signal and autofluorescence is enhanced, which leads to more accurate measurements. Thirdly, green light energizes photosynthesis only very little, and thus photosynthetic oxygen production is minimal.
After illumination, PtPFPP transmits its absorbed light energy to oxygen, thereby decreasing its phosphorescence lifetime
. Fig. 4 A shows the relation between
and the oxygen concentration in the solution. A slight temperature dependence was observed, with higher temperatures leading to a slight decrease in phosphorescence lifetime (Fig. 4 A, inset). Several experiments were performed to test whether any other organic substance interacts with the oxygen determination. The microbeads were tested for their sensitivity to changes in pH, presence of glucose, sucrose, or protein (Fig. 5). The test series were carried out under normal oxygen conditions (100% air saturation). In the 48 pH range, no influence on the lifetime was observed (Fig. 5 A). Also glucose and sucrose had no influence in a concentration range from 0 to 150 mg ml1 (Fig. 5 B). However,
increased by several microseconds when beads were incubated in the protein albumin (Fig. 5 C). Apparently, proteins adsorb at the polystyrene surface and shield the surface-located fraction of the oxygen-sensitive phosphor in the microbead matrix, leading to an overall reduced quenching rate. This extension of the lifetime appeared to be irreversible; no decline in the sensor's lifetime was observed when beads preincubated in albumin were replaced in pure water (Fig. 5 D). Thus the passive binding of albumin is very strong. When preincubated beads were used to measure oxygen in water, the lifetimes that were obtained were identical to those measured in a protein solution and could thus be used for in vivo measurements.
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when compared with results obtained from preincubated microbeads in pure water (Fig. 4 B). Similar results were obtained when an extract from Arabidopsis thaliana leaves was used (data not shown). This shows that the signals obtained from the beads only depend on the oxygen concentration, and are not influenced by any other cell component.
Intracellular oxygen concentration
For measuring intracellular oxygen concentrations, PtPFPP microbeads were injected directly into cells using glass microcapillaries. After injection the capillary was carefully removed, and the cell was given time to recover in darkness. Subsequently, a glass fiber was positioned near the cell wall of the injected cell and luminescence was detected. Fig. 6 A shows the changes in the oxygen content in a Chara corallina cell induced by different light regimes at a constant temperature of 23°C. When the cells were only exposed to the modulated green light source used to excite the oxygen probe, the cellular oxygen concentration measured was
250 µmol/l, which is similar to the oxygen saturation concentration of an aqueous solution in normal air (36
). When, in addition to the green light source, an LED emitting photosynthetically active blue light was directed to the cell, the oxygen concentration increased to
500 µmol/l. After switching off the blue light, the oxygen concentration decreased again until the ambient concentration was reached. These changes were reproducible over a period of several hours. Preliminary experiments in which Arabidopsis thaliana leaf epidermal cells were injected with PtPFPP microbeads gave similar results (data not shown). Nonphotosynthetically active orange fruit cells showed no increase in the oxygen signal upon illumination with blue light (Fig. 6 B), indicating that the blue background light intensity does not affect the measurement apparatus. Interestingly, the oxygen concentration of these cells was less than air saturation, indicating that even single cells that have very good contact with the surrounding air can have hypoxic conditions inside. These measurements show that the multifrequency phase-modulation method enables measurement of in vivo oxygen concentrations, as well as detecting real-time changes due to biochemical processes.
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| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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This work was partly supported by the Deutsche Forschungsgemeinschaft (to P.G.).
| FOOTNOTES |
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Submitted on March 23, 2005; accepted for publication May 11, 2005.
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