Peter T A Linders1, Melina Ioannidis2, Martin Ter Beest1, Geert van den Bogaart1,2. 1. Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands. 2. Department of Molecular Immunology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, 9747AG Groningen, Netherlands.
Abstract
Many cellular processes are dependent on correct pH levels, and this is especially important for the secretory pathway. Defects in pH homeostasis in distinct organelles cause a wide range of diseases, including disorders of glycosylation and lysosomal storage diseases. Ratiometric imaging of the pH-sensitive mutant of green fluorescent protein, pHLuorin, has allowed for targeted pH measurements in various organelles, but the required sequential image acquisition is intrinsically slow and therefore the temporal resolution is unsuitable to follow the rapid transit of cargo between organelles. Therefore, we applied fluorescence lifetime imaging microscopy (FLIM) to measure intraorganellar pH with just a single excitation wavelength. We first validated this method by confirming the pH in multiple compartments along the secretory pathway and compared the pH values obtained by the FLIM-based measurements with those obtained by conventional ratiometric imaging. Then, we analyzed the dynamic pH changes within cells treated with Bafilomycin A1, to block the vesicular ATPase, and Brefeldin A, to block endoplasmic reticulum (ER)-Golgi trafficking. Finally, we followed the pH changes of newly synthesized molecules of the inflammatory cytokine tumor necrosis factor-α while they were in transit from the ER via the Golgi to the plasma membrane. The toolbox we present here can be applied to measure intracellular pH with high spatial and temporal resolution and can be used to assess organellar pH in disease models.
Many cellular processes are dependent on correct pH levels, and this is especially important for the secretory pathway. Defects in pH homeostasis in distinct organelles cause a wide range of diseases, including disorders of glycosylation and lysosomal storage diseases. Ratiometric imaging of the pH-sensitive mutant of green fluorescent protein, pHLuorin, has allowed for targeted pH measurements in various organelles, but the required sequential image acquisition is intrinsically slow and therefore the temporal resolution is unsuitable to follow the rapid transit of cargo between organelles. Therefore, we applied fluorescence lifetime imaging microscopy (FLIM) to measure intraorganellar pH with just a single excitation wavelength. We first validated this method by confirming the pH in multiple compartments along the secretory pathway and compared the pH values obtained by the FLIM-based measurements with those obtained by conventional ratiometric imaging. Then, we analyzed the dynamic pH changes within cells treated with Bafilomycin A1, to block the vesicular ATPase, and Brefeldin A, to block endoplasmic reticulum (ER)-Golgi trafficking. Finally, we followed the pH changes of newly synthesized molecules of the inflammatory cytokine tumor necrosis factor-α while they were in transit from the ER via the Golgi to the plasma membrane. The toolbox we present here can be applied to measure intracellular pH with high spatial and temporal resolution and can be used to assess organellar pH in disease models.
Physiological
pH homeostasis is crucial for many cellular processes.
Not only the cytosolic pH is of importance, but defined intraorganellar
pH delineates the secretory pathway. The pH of the endoplasmic reticulum
(ER) is approximately 7, while the Golgi apparatus slightly acidifies
from pH 6.7 at the cis face to pH 6.0 at the trans face.[1−3] Before secretory cargo is released at the plasma membrane and reaches
the neutral pH of the extracellular environment, the pH in secretory
vesicles is about 5.2.[1,2]pH is not only crucial for
proper protein folding and enzyme activity
through influencing the charge of amino acid side chains, but its
importance in secretory protein transport is increasingly clear.[4] pH affects binding affinities of cargo molecules
to trafficking chaperones and thereby pH differences facilitate intracellular
transport by both influencing the transit of cargo[5−11] and the sorting of secretory pathway resident proteins.[12−14] Moreover, the localization of glycosylation enzymes and their substrates
is determined by pH,[4,15−18] and defects in this homeostasis
cause a wide range of human disease.[4,19−25] Being able to accurately determine intraorganellar pH along the
secretory pathway is, therefore, of both fundamental and diagnostic
importance.Fluorescent dyes that allow the measurement of intraorganellar
pH exist and are commercially available,[26−30] but the inability of specific organellar targeting
is a major drawback. The pH in the lumen of the Golgi and ER in mammalian
cells has been measured using Shiga-like toxins covalently bound to
fluorescent dyes[31,32] and with the biotin–avidin
system.[33] However, especially the development
of pH-sensitive mutants of green fluorescent protein (GFP), such as
pHLuorin,[34,35] which can be targeted to specific organelles
by fusion proteins, has enabled specific measurement of intracellular
compartments. Two classes of pHLuorin were developed by mutagenesis,
which altered the bimodal excitation spectrum of GFP with peaks at
395 and 475 nm.[34,36] First, ecliptic pHLuorin, which
shows a reduction of its excitation efficiency at 475 nm at pH values
lower than 6. Second, ratiometric pHLuorin, which shows a gradual
increase in the ratio of excitation at 475/395 nm between pH 5.5 and
pH 7.5.[34] With ecliptic pHLuorin, intraorganellar
pH can be determined by first recording an image at 475 nm excitation
and then correlating the fluorescence intensities with a calibration
curve. The pH can be determined with ratiometric pHLuorin using a
similar approach, but now by sequentially recording images at 395
and 475 nm excitation. A new version of ratiometric pHLuorin, ratiometric
pHLuorin2 (RpHLuorin2), was later developed with 8-fold improved fluorescence.[35]Ecliptic pHLuorin is less accurate than
ratiometric pHLuorin because
the fluorescence intensity not only depends on the pH but also on
the concentration of pHLuorin. However, ratiometric imaging also has
several drawbacks, such as sensitivity to background fluorescence
leading to high variations in the ratio values and the need for two
sequential image acquisitions with two different excitation wavelengths.
As the exocytic pathway is highly dynamic, the sequential imaging
could potentially result in misalignment of the emitted signal (e.g.,
due to movement of organelles), compromising the calculation of ratio
values. To overcome this problem of dual excitation, GFP-based probes
have been developed that show a pH-dependent change in fluorescence
emission, including E2GFP[37] and
deGFP4,[38,39] and pH-sensitive fluorophores have been
targeted to organelles with the HaloTag technology.[40] However, spectral overlap in fluorescence emission wavelengths
limits the use of these probes for multicolor experiments together
with other fluorescent probes.In this study, we used another
approach to overcome the problem
of dual excitation and exploit fluorescence lifetime, an intrinsic
property of fluorophores that is insensitive to changes in laser intensity
or protein concentration[41,42] but is sensitive to
pH,[43,44] to accurately measure intraorganellar pH
with both high spatial and temporal resolution.
Results and Discussion
FLIM of
Recombinant Ratiometric pHLuorin2
We first
measured the fluorescence excitation spectra of recombinant RpHLuorin2
(Supporting Information Figure S1) in different
pH solutions with a fluorescence spectrometer. Depending on the pH
of the medium, the p-hydroxybenzylidene-imidazolidinone
moiety in the chromophore of pHLuorin2, a derivative of GFP,[35] can exist in either the neutral phenol form
or the anionic phenolate form.[45] As expected,[34] we observed strong dependence of the excitation
efficiencies on pH, as a higher pH resulted in an increased emission
brightness (at 508 nm) at an excitation wavelength of 470 nm, whereas
the fluorescence brightness was reduced at an excitation wavelength
of 405 nm (Supporting Information Figure S1a). These data show that for pHLuorin2, the anionic form shows an
excitation peak at 405 nm, while the peak with 470 nm corresponds
to the neutral form. We then plotted the ratios of the emission signals
with 405 nm over 470 nm excitation as a function of the pH and fitted
these data with a dose–response relationship, an empirical
model to fit the sigmoidal data as the (de)protonation states of RpHLuorin2
will saturate at very high and low pH values (Supporting Information Figure S1b). The largest changes in
fluorescence of RpHLuorin2 were observed between pH 5.5 and pH 7,
making RpHLuorin2 an excellent candidate for pH measurements in the
secretory pathway.As ratiometric determination of pH with RpHLuorin2
requires two sequential image acquisitions with different excitation
wavelengths, we investigated whether time-correlated single-photon
counting fluorescence lifetime imaging microscopy (FLIM) would be
an appropriate substitute to allow for single-scan imaging. We hypothesized
that as the lifetime of fluorophores is influenced by pH,[43,44] the pH sensitivity of RpHLuorin2 would allow for accurate pH measurement
based on fluorescence lifetime. Therefore, we performed FLIM of recombinant
RpHLuorin2 in different pH solutions at 488 nm excitation (Figure ). For GFP, the fluorescence
lifetime of the phenolate form is in the 2–3 ns range, while
that of the phenol form is <100 ps.[46,47] At 488 nm
excitation, we will mainly excite the (fast) phenol form, but (due
to fluorescence cross-talk) there will also be some contribution of
the (slow) phenolate form. The observed fluorescence lifetime can
hence be regarded as a mixture of the decays of the neutral and anionic
forms. Thus, an increase in pH will result in a net higher lifetime,
as has been reported for other GFP-derived fluorescent proteins.[43,48]
Figure 1
FLIM
of recombinant RpHLuorin2. (a) Representative confocal images
of 10 μM recombinant RpHLuorin2 in calibration buffers with
defined pH. The intensity image (left column) was convoluted with
the fluorescence lifetime value per pixel and pseudo-colored (right
column). (b) Representative fluorescence lifetime histograms of recombinant
RpHLuorin2 in pH 4.87 solution (red-dashed line) or pH 7.5 solution
(pink-dashed line). Fits with monoexponential decay functions (pH
4.87, solid red line; pH 7.5, solid pink line) convoluted with the
instrumental response function (gray-dotted line). Graphs are normalized
to the maximum photon counts. (c) Average lifetime histograms from
the images of panel (a). 30 regions of interest (i.e., ∼10
× 10 μm of imaged area) were selected per pH buffer and
the average lifetime τ was measured. (d) pH dependence of recombinant
RpHLuorin2 in defined pH calibration buffers from the images of panel
(a).
FLIM
of recombinant RpHLuorin2. (a) Representative confocal images
of 10 μM recombinant RpHLuorin2 in calibration buffers with
defined pH. The intensity image (left column) was convoluted with
the fluorescence lifetime value per pixel and pseudo-colored (right
column). (b) Representative fluorescence lifetime histograms of recombinant
RpHLuorin2 in pH 4.87 solution (red-dashed line) or pH 7.5 solution
(pink-dashed line). Fits with monoexponential decay functions (pH
4.87, solid red line; pH 7.5, solid pink line) convoluted with the
instrumental response function (gray-dotted line). Graphs are normalized
to the maximum photon counts. (c) Average lifetime histograms from
the images of panel (a). 30 regions of interest (i.e., ∼10
× 10 μm of imaged area) were selected per pH buffer and
the average lifetime τ was measured. (d) pH dependence of recombinant
RpHLuorin2 in defined pH calibration buffers from the images of panel
(a).For purified recombinant pHLuorin2,
we observed a dependency of
the lifetime as a function of pH, and the fluorescence lifetime increased
upon an increasing pH (Figure ). However, the fluorescence lifetime changed over a larger
range of pH values (4.5–7.5; Figure d) than the ratio of 405/470 nm excitations
(5.5–7.5; Supporting Information Figure S1b). This larger dynamic range, which is likely caused by
a second protonation event, is an advantage of the FLIM-based approach,
because it increases the range of pH values that can be determined.
We then fused RpHLuorin2 to several intraorganellar markers in the
secretory pathway to perform pH measurements in living cells.
pH Measurements
in the Secretory Pathway
In order to
accurately measure intraorganellar pH of specific organelles, we targeted
RpHLuorin2 intracellularly by fusing it to proteins and targeting
sequences that locate to specific subcellular locations in the secretory
pathway (Figure a).
The pH range that can be measured with lifetime-based measurements
of pHLuorin2 (4.5–7.5) is ideally suited for measuring pH along
the secretory pathway, as the pH is neutral within the ER (∼7),
slightly acidic (∼6) in the Golgi network, and about 5.2 in
secretory vesicles.[1−3] To interrogate the luminal pH along the entire secretory
pathway, we fused RpHLuorin2 to the signal sequence of the ER-resident
protein calreticulin and a C-terminal ER retention signal KDEL for
ER targeting, to the luminal regions of cis-/medial-Golgi protein
alpha-1,6-mannosyl-glycoprotein 2-beta-N-acetylglucosaminyltransferase
(MGAT2), to trans-Golgi enzyme beta-1,4-galactosyltransferase 1 (GalT),
to trans-Golgi network protein TGN46, and to lysosome-associated membrane
glycoprotein 1 (LAMP1) for lysosomal targeting, and finally to a GPI
anchor for plasma membrane (i.e., extracellular) localization. For
the Golgi enzymes (MGAT2 and GalT), we truncated each protein by removing
their catalytic sites and only kept the transmembrane region and stalk
regions responsible for their localization.[49−51]
Figure 3
Steady-state
pH measurements of secretory pathway markers. (a)
Schematic overview of all RpHLuorin2 constructs used in this study.
The signal sequence of LAMP1 is removed following cotranslational
ER insertion and is not shown in the diagram. ER-RpHLuorin2 contains
the N-terminal signal sequence of the ER-resident protein calreticulin
and a C-terminal ER retention signal KDEL. MW: molecular weight; RUSH:
retention using selective hooks;[51] and
SBP: streptavidin-binding protein. (b) Representative confocal micrographs
of HeLa cells expressing the mentioned RpHLuorin2 fusion constructs.
The intensity image (left column) was convoluted with the fluorescent
lifetime value per pixel and pseudo-colored (middle column). The intensity
image was also convoluted with the calculated pH per pixel and pseudo-colored
(right column). FLIM: fluorescence lifetime imaging microscopy. Scale
bars, 10 μm. (c) Quantification of average pH values from panel
(b). N = 88 (ER), 188 (MGAT2), 193 (GalT), and 134
(LAMP1) cells from three to five independent experiments.
We then
expressed the fusion constructs in HeLa cells, and recorded FLIM images.
We used the GPI-anchored RpHLuorin2 (GPI-RpHLuorin2) to calibrate
the probe expressed in cells using the same pH buffers as used for
the calibration of purified RpHLuorin2 (Figure ). We again observed a dependency of the
fluorescence lifetime of RpHLuorin2 on pH, although the absolute fluorescence
lifetime values were lower than for the recombinant RpHLuorin2, possibly
due to crowding effects leading to fluorescence self-quenching[52] and/or to differences in the local microenvironment
such as phospholipid charge and microdomain pH. These effects, as
well as intracellular pools of GPI-pHLuorin2, likely also contributed
to the variation among cells. The fluorescence lifetime dependency
on pH could again be fitted with a sigmoidal dose–response
model.
Figure 2
Calibration of RpHLuorin2 by FLIM in HeLa cells expressing GPI-RpHLuorin2.
(a) Representative confocal micrographs of HeLa cells expressing GPI-RpHLuorin2
in defined calibration buffers. The intensity image (left column)
was convoluted with the fluorescent lifetime value per pixel and pseudo-colored
(right column). Scale bars, 10 μm. (b) Average lifetime histograms
from the images of panel (a). N = 86 (pH 4.87), 108
(pH 5.31), 90 (pH 5.67), 115 (pH 6.17), 122 (pH 6.68), 113 (pH 7.03),
and 120 (pH 7.5) cells from three independent experiments. (c) pH
dependence of HeLa cells expressing GPI-RpHLuorin2 in defined pH calibration
buffers from the images of panel (a).
Calibration of RpHLuorin2 by FLIM in HeLa cells expressing GPI-RpHLuorin2.
(a) Representative confocal micrographs of HeLa cells expressing GPI-RpHLuorin2
in defined calibration buffers. The intensity image (left column)
was convoluted with the fluorescent lifetime value per pixel and pseudo-colored
(right column). Scale bars, 10 μm. (b) Average lifetime histograms
from the images of panel (a). N = 86 (pH 4.87), 108
(pH 5.31), 90 (pH 5.67), 115 (pH 6.17), 122 (pH 6.68), 113 (pH 7.03),
and 120 (pH 7.5) cells from three independent experiments. (c) pH
dependence of HeLa cells expressing GPI-RpHLuorin2 in defined pH calibration
buffers from the images of panel (a).After successfully calibrating our system, we proceeded with pH
measurements in the lumen of the organelles along of the secretory
pathway (Figure ). With ER-RpHLuorin2, we measured an apparent
average pH of 7.2 [95% confidence interval (CI) ± 0.08], while
with medial-Golgi marker MGAT2-RpHLuorin2, we measured an apparent
average pH of 6.1 (95% CI ± 0.07), and with trans-Golgi marker
GalT-RpHLuorin2, an apparent average pH of 5.9 (95% CI ± 0.07)
(Figure b,c). Finally,
for lysosomal marker LAMP1-RpHLuorin2, we measured an apparent average
pH of 4.7 (95% CI ± 0.15) (Figure b,c). These pH values are all consistent with previous
literature.[1,26] The fluorescence intensities
(numbers of photons collected per cell) did not correlate with the
fluorescence lifetimes for the four measured probes (Supporting Information Figure S2), indicating that intercellular
variations were not caused by differences in expression levels.Steady-state
pH measurements of secretory pathway markers. (a)
Schematic overview of all RpHLuorin2 constructs used in this study.
The signal sequence of LAMP1 is removed following cotranslational
ER insertion and is not shown in the diagram. ER-RpHLuorin2 contains
the N-terminal signal sequence of the ER-resident protein calreticulin
and a C-terminal ER retention signal KDEL. MW: molecular weight; RUSH:
retention using selective hooks;[51] and
SBP: streptavidin-binding protein. (b) Representative confocal micrographs
of HeLa cells expressing the mentioned RpHLuorin2 fusion constructs.
The intensity image (left column) was convoluted with the fluorescent
lifetime value per pixel and pseudo-colored (middle column). The intensity
image was also convoluted with the calculated pH per pixel and pseudo-colored
(right column). FLIM: fluorescence lifetime imaging microscopy. Scale
bars, 10 μm. (c) Quantification of average pH values from panel
(b). N = 88 (ER), 188 (MGAT2), 193 (GalT), and 134
(LAMP1) cells from three to five independent experiments.To compare the FLIM-based measurements with ratiometric measurements,
we also performed ratiometric imaging in cells using confocal laser
scanning microscopy, where we changed the excitation wavelength of
each line of the imaging (Supporting Information Figure S3). Confirming our previous experiments with purified
RpHLuorin2 (Figure ; Supporting Information Figure S1), we
observed for GPI-pHLuorin2 that the ratio of fluorescence with 405
and 488 nm excitations changed over a narrower range of pH values
(5.5–7.5; Supporting Information Figure S3a) than with FLIM imaging (4.5–7.5; Figure ). For the MGAT2 and GalT probes,
we observed similar pH values to the FLIM-based measurements [Supporting Information Figure S3b; MGAT2 pH 6.5
(95% CI ± 0.16), GalT pH 6.1 (95% CI ± 0.13)]. However,
the spread of the data was considerably (∼2-fold) larger for
the ratiometric approach. As a result, less cells have to be analyzed
with the FLIM-based approach to accurately determine the pH. To illustrate
this point, we performed Bootstrap statistical analysis, where we
sampled our datasets to estimate the 95% CI based on samples of increasing
numbers of cells (Supporting Information Figure S4). Based on this analysis, we estimate that for the FLIM-based
approach, >16 cells needed to be measured for an accurate estimation
of the pH for the ER, MGAT2, GalT, and LAMP1 markers. However, for
the ratiometric approach, approximately 2-fold more cells needed to
be analyzed to reach a similar 95% CI.To further characterize
the RpHLuorin2 FLIM system, we challenged
cells with the vacuolar H+-ATPase (V-ATPase) inhibitor
Bafilomycin A1 (BafA1).[53] The mammalian
V-ATPase is a protein pump that acidifies intraorganellar lumina by
translocating protons across the membrane.[54,55] Our experiments with the MGAT2 and GalT probes showed that challenging
the cells for 1 h with 200 nM BafA1 resulted in a reduced acidification
(i.e., less reduction of pH compared to without BafA1) of both the
cis- and trans-Golgi apparatus, although this perturbation was incomplete
as the pH did not reach completely neutral values (Figure ). Taken together, our data
show that the RpHLuorin2 FLIM system is highly suitable for intracellular
pH measurements with only a single-image acquisition.
Figure 4
Incomplete blockage of
Golgi acidification by Bafilomycin A1. (a)
Representative confocal micrographs of HeLa cells expressing MGAT2-RpHLuorin2
incubated for 1 h in the absence (solvent control DMSO) or presence
of Bafilomycin A1 (200 nM BafA1). To generate the FLIM images (middle
column), the intensity images (left column) were convoluted with the
fluorescent lifetime value per pixel and pseudo-colored. To generate
the pH images, the lifetimes were converted to the calculated pH per
pixel and also convoluted with the fluorescence intensities (right
column). Scale bars, 10 μm. (b) Quantification of average pH
values from panel (a). N = 72 (DMSO) and 77 (BafA1)
cells from four independent experiments. The dashed lines indicate
the average pH of the ER from Figure c. (c,d) Same as panels (a,b), but now for GalT-RpHLuorin2. N = 68 (DMSO) and 50 (BafA1A) cells from four independent
experiments.
Incomplete blockage of
Golgi acidification by Bafilomycin A1. (a)
Representative confocal micrographs of HeLa cells expressing MGAT2-RpHLuorin2
incubated for 1 h in the absence (solvent control DMSO) or presence
of Bafilomycin A1 (200 nM BafA1). To generate the FLIM images (middle
column), the intensity images (left column) were convoluted with the
fluorescent lifetime value per pixel and pseudo-colored. To generate
the pH images, the lifetimes were converted to the calculated pH per
pixel and also convoluted with the fluorescence intensities (right
column). Scale bars, 10 μm. (b) Quantification of average pH
values from panel (a). N = 72 (DMSO) and 77 (BafA1)
cells from four independent experiments. The dashed lines indicate
the average pH of the ER from Figure c. (c,d) Same as panels (a,b), but now for GalT-RpHLuorin2. N = 68 (DMSO) and 50 (BafA1A) cells from four independent
experiments.
pH Dynamics along the Secretory
Pathway
To evaluate
whether our method would be able to measure dynamic changes in pH,
we started by measuring the pH of the medial-Golgi marker MGAT2-pHLuorin2
in the presence of fungal metabolite Brefeldin A (BFA). BFA is a potent
inhibitor of ER-Golgi trafficking and causes the relocation of Golgi-resident
enzymes to the ER.[56,57] We, therefore, expected a substantial
increase in pH when MGAT2-RpHLuorin2-expressing cells were challenged
with BFA. Indeed, we measured an apparent average pH of 7.1 (95% CI
± 0.07) in the BFA-challenged cells compared to an apparent average
pH of 6.4 (95% CI ± 0.08) in the vehicle control cells (Figure a,b). This result
means that our system is capable of measuring dynamic alterations
of pH in living cells.
Figure 5
Dynamic pH measurements along the secretory pathway. (a)
Representative
confocal micrographs of HeLa cells expressing MGAT2-RpHLuorin2 in
the absence (Ctrl, green) or presence of BFA (orange). The intensity
image (left column) was convoluted with the fluorescent lifetime value
per pixel and pseudo-colored (middle column). The intensity image
was also convoluted with the calculated pH per pixel and pseudo-colored
(right column). FLIM, fluorescence lifetime imaging microscopy. Scale
bars, 10 μm. (b) Quantification of average pH values from panel
(a). N = 110 (DMSO) and 165 (BFA) cells from 2–3
independent experiments. (c) Representative confocal micrographs of
HeLa cells expressing RUSH TNFα-RpHLuorin2 in the absence of
biotin (0 min) or 20, 40, and 60 min after biotin addition. The intensity
image (left column) was convoluted with the fluorescent lifetime value
per pixel and pseudo-colored (middle column). The intensity image
was also convoluted with the calculated pH per pixel and pseudo-colored
(right column). FLIM, fluorescence lifetime imaging microscopy. Scale
bars, 10 μm. See also Supporting Information Movie S1. (d) Quantification of average pH values of the cell
shown in panel (c) and Supporting Information Movie S1. Plotted is the average apparent lifetime for all
pixels of the projected imaged area of the cell. (e) Average pH measured
of all cells expressing RUSH TNFα-RpHLuorin2. N = 29 from two independent experiments.
Dynamic pH measurements along the secretory pathway. (a)
Representative
confocal micrographs of HeLa cells expressing MGAT2-RpHLuorin2 in
the absence (Ctrl, green) or presence of BFA (orange). The intensity
image (left column) was convoluted with the fluorescent lifetime value
per pixel and pseudo-colored (middle column). The intensity image
was also convoluted with the calculated pH per pixel and pseudo-colored
(right column). FLIM, fluorescence lifetime imaging microscopy. Scale
bars, 10 μm. (b) Quantification of average pH values from panel
(a). N = 110 (DMSO) and 165 (BFA) cells from 2–3
independent experiments. (c) Representative confocal micrographs of
HeLa cells expressing RUSH TNFα-RpHLuorin2 in the absence of
biotin (0 min) or 20, 40, and 60 min after biotin addition. The intensity
image (left column) was convoluted with the fluorescent lifetime value
per pixel and pseudo-colored (middle column). The intensity image
was also convoluted with the calculated pH per pixel and pseudo-colored
(right column). FLIM, fluorescence lifetime imaging microscopy. Scale
bars, 10 μm. See also Supporting Information Movie S1. (d) Quantification of average pH values of the cell
shown in panel (c) and Supporting Information Movie S1. Plotted is the average apparent lifetime for all
pixels of the projected imaged area of the cell. (e) Average pH measured
of all cells expressing RUSH TNFα-RpHLuorin2. N = 29 from two independent experiments.Next, we employed FLIM-based measurements to monitor the changes
of the pH in real-time along the secretory pathway. To this end, we
chose the secreted cytokine tumor necrosis factor alpha (TNF-α)
as a model protein that is transported through the secretory pathway.
Using the retention using selective hooks (RUSH) system,[51] we synchronized the transit of TNF-α along
the secretory pathway. RUSH uses the expression of two separate constructs
in the cell: (i) the hook construct, which is an ER-targeting sequence
fused to streptavidin and (ii) the reporter construct, which is the
protein of interest (i.e., TNF-α) fused in tandem to a streptavidin-binding
protein (SBP) and a fluorescent protein (RpHLuorin2). When biotin
is absent from the culture medium, the reporter construct is held
at the ER through an interaction of streptavidin of the hook construct
and the SBP. When biotin is added to the culture medium, biotin outcompetes
this interaction and the reporter construct is released and transits
along the secretory pathway in a synchronized fashion.In our
case, we used the KDEL-motif as a targeting sequence for
the ER,[51] and used a TNFα-SBP-RpHLuorin2
fusion protein (RUSH TNFα-SBP-RpHLuorin2) as the reporter construct,
so that we could follow the dynamic transit of TNF-α from the
ER, via the Golgi network, to the plasma membrane (Figure c–e, Supporting Information Movie S1). We confirmed the subcellular
localizations with immunolabeling experiments, where we fixed cells
expressing TNFα-SBP-RpHLuorin2 at discrete time intervals after
biotin addition and immunolabeled for organellar markers for the ER
(PDI), Golgi network (GM130), and plasma membrane (WGA) (Supporting Information Figure S5).In the
absence of biotin in the cell culture medium, when all the
TNFα-SBP-RpHLuorin2 reporter construct was trapped within the
ER, we measured an apparent average pH of 7.58 (95%CI ± 0.46)
(Figure c–e, Supporting Information Movie S1). In the ∼25
min following the addition of biotin to the cells, TNFα-SBP-RpHLuorin2
was trafficked through the Golgi and the apparent average pH gradually
decreased to around pH 6. At later time points, the pH gradually increased
again as more TNFα-SBP-RpHLuorin2 reached the plasma membrane.
As HeLa cells express the protease TACE, TNF-α likely dissociates
from the plasma membrane.[58−60]After biotin addition,
the TNF-α-RpHLuorin2 became concentrated
in the Golgi network, leading to a local increase of the signal at
this position (Supporting Information Figure S6). In order to not saturate the signal at this timepoint, we had
to use a low intensity of excitation light for the RUSH experiments.
However, at the start of the experiments (i.e., prior to biotin addition),
the TNF-α-RpHLuorin2 construct was located at the ER, which
in mammalian cells is diffuse and scattered through the entire cytoplasm.
Likely as a consequence, the photon count/pixel at earlier timepoints
was low, leading to an overestimation of the pH particularly for the
ER localization. Also because of the limited number of photons, we
fitted the fluorescence lifetime histograms with a single exponential
decay function and report the apparent average pH per cell.[61]This result demonstrates that FLIM-based
pH measurements are a
suitable method to determine intraorganellar pH with high temporal
resolution.
Conclusions
In this study, we measured
the pH in various subcellular compartments
using FLIM of the pH-sensitive fluorescent protein RpHLuorin2. Consistent
with previous literature, we observed a clear acidification of luminal
pH through the secretory pathway.[1−3] The fusion of RpHLuorin2
is not restricted to the proteins we described here; this system is
applicable to any other intraorganellar measurement, provided that
RpHLuorin2 can be fused to a luminal domain of a protein residing
in the target organelle. Furthermore, additional applications include
combining RpHLuorin2 with other fluorescence (lifetime)-based probes
to measure pH and other cellular processes simultaneously within the
same cell.We also show that the FLIM approach enables measuring
pH with a
kinetic resolution high enough to follow the dynamic transit of a
cargo molecule along the secretory pathway. In this respect, our approach
complements measurements of the exocytic pathway using Vero and Shiga
toxins labeled with pH-sensitive fluorophores.[31] These toxins are endocytosed by receptor-mediated endocytosis
and then transit via the Golgi network to the ER, a process that can
be followed by microscopy. While this approach also enables measuring
pH along the secretory pathway, a disadvantage is that it does not
allow following the pH of designated secretory targets. For example,
after transit through the Golgi, TNF-α is reported to traffic
via designated subcompartments of recycling endosomes to the plasma
membrane,[62] and it is not known whether
Shiga toxins also traffic via these compartments.Compared to
excitation-based ratiometric imaging, the key improvement
of our study is the usage of FLIM. Ratiometric imaging of pHLuorin
and derivatives[30,34,35] requires the sequential recording of the fluorescent protein at
both 405 and 470 nm excitation wavelengths, while the emission is
recorded at the same wavelength. Although certain optical schemes
such as split-beam excitation might facilitate fast switching between
excitation wavelengths, this sequential excitation intrinsically limits
the temporal resolution and consequently limits the applicability
for pH determination in dynamically moving and reshaping organelles.
A problem with such ratiometric imaging is that if the molecules (or
organelles) move or photobleach during the sequential excitation,
this will lead to an error as it causes variation in the ratios of
the fluorescence intensities of the two excitation channels. FLIM
mitigates this issue, as only a single recording with a single excitation
wavelength is required. Therefore, movement of fluorescent molecules
and photobleaching are no problem, because the fluorescence lifetime
is independent of the concentration of fluorophores. FLIM is hence
better suited for visualizing the pH of organelles in living cells.
Moreover, FLIM measurements are not dependent on laser intensity,[41,42] while ratiometric measurements can easily be affected by fluctuations
in excitation laser power. FLIM measurements are thus more comparable
between experiments, as supported by our findings that the spread
in the data is larger for the ratiometric than for the FLIM approach.
Another advantage of the FLIM-based approach is that reference measurements
can be used over independent experiments because the fluorescence
lifetime is independent of the fluorescence intensity.[41,42] This is an advantage over the ratiometric approach, where small
differences in the laser intensity and alignment of the microscope
can have a major effect. However, a disadvantage is that it requires
access to a FLIM microscope, whereas ratiometric imaging can be performed
on most of the confocal and epifluorescence microscopes.In
contrast to another study that relies on equilibrating pH with
the ionophore monensin,[30] we used GPI-anchored
RpHLuorin2 to obtain calibration curves with defined pH buffers because
monensin is a known inhibitor of physiological Golgi transport, thereby
likely affecting the observed fluorescence lifetime values.[63−69]Defects in the regulation of pH are a hallmark of a wide range
of disease, including disorders of glycosylation,[4,19,21−25] cancer,[70] neurodegenerative
diseases,[71−74] mitochondrial disorders,[75] and lysosomal
storage disorders.[76] The tools we presented
in this study offer a method to assess intraorganellar pH using FLIM.
Our data show that FLIM is more accurate than ratiometric imaging.
Moreover, due to its high temporal resolution, it not only enables
measuring pH in static compartments but also measuring the dynamic
changes that a protein experiences during its trafficking along the
secretory pathway.
Methods
Microscopy
Time-correlated single-photon counting FLIM
imaging was performed on a Leica SP8 SMD system at 37 °C, equipped
with a HC PL APO CS2 63×/1.20 Water objective. pHLuorin2 was
excited at 488 nm with a pulsed white light laser, operating at 80
MHz. Photons were collected for 1 min or 30 s for time-lapse experiments
with a HyD detector set at 502–530 nm, and lifetime histograms
of the donor fluorophore were fitted with a monoexponential decay
function convoluted with the microscope instrument response function
in Leica LAS X. For reconstructing the images, tiff files with τ
values were generated using FLIMFit[77] and
2 × 2 spatial binning and then convoluted with the fluorescence
intensities using a custom-written ImageJ Macro. Ratiometric pH measurements
were done similarly to the FLIM measurements, but the imaging was
performed on a Leica SP8 SMD system at 37 °C, equipped with a
HC PL APO CS2 63×/1.20 Water objective or a Zeiss LSM 800 system
at 37 °C, equipped with a Plan Apochromat 1.4× Oil objective.
RpHLuorin2 was excited at 405 and 488 nm sequentially, images were
acquired with an emission wavelength bandwidth (495–560 nm)
that included an emission wavelength of 508 nm.See the Supporting Information for experimental details.
Authors: Jos C Jansen; Sebahattin Cirak; Monique van Scherpenzeel; Sharita Timal; Janine Reunert; Stephan Rust; Belén Pérez; Dorothée Vicogne; Peter Krawitz; Yoshinao Wada; Angel Ashikov; Celia Pérez-Cerdá; Celia Medrano; Andrea Arnoldy; Alexander Hoischen; Karin Huijben; Gerry Steenbergen; Dulce Quelhas; Luisa Diogo; Daisy Rymen; Jaak Jaeken; Nathalie Guffon; David Cheillan; Lambertus P van den Heuvel; Yusuke Maeda; Olaf Kaiser; Ulrike Schara; Patrick Gerner; Marjolein A W van den Boogert; Adriaan G Holleboom; Marie-Cécile Nassogne; Etienne Sokal; Jody Salomon; Geert van den Bogaart; Joost P H Drenth; Martijn A Huynen; Joris A Veltman; Ron A Wevers; Eva Morava; Gert Matthijs; François Foulquier; Thorsten Marquardt; Dirk J Lefeber Journal: Am J Hum Genet Date: 2016-01-28 Impact factor: 11.025
Authors: Peter T A Linders; Ella Peters; Martin Ter Beest; Dirk J Lefeber; Geert van den Bogaart Journal: Int J Mol Sci Date: 2020-06-30 Impact factor: 5.923
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