Literature DB >> 30864782

pH-Lemon, a Fluorescent Protein-Based pH Reporter for Acidic Compartments.

Sandra Burgstaller1, Helmut Bischof1, Thomas Gensch2, Sarah Stryeck1, Benjamin Gottschalk1, Jeta Ramadani-Muja1, Emrah Eroglu1, Rene Rost1, Sabine Balfanz2, Arnd Baumann2, Markus Waldeck-Weiermair1, Jesse C Hay1,3, Tobias Madl1,4, Wolfgang F Graier1,4, Roland Malli1,4.   

Abstract

Distinct subcellular pH levels, especially in lysosomes and endosomes, are essential for the degradation, modification, sorting, accumulation, and secretion of macromolecules. Here, we engineered a novel genetically encoded pH probe by fusing the pH-stable cyan fluorescent protein (FP) variant, mTurquoise2, to the highly pH-sensitive enhanced yellow fluorescent protein, EYFP. This approach yielded a ratiometric biosensor-referred to as pH-Lemon-optimized for live imaging of distinct pH conditions within acidic cellular compartments. Protonation of pH-Lemon under acidic conditions significantly decreases the yellow fluorescence while the cyan fluorescence increases due to reduced Förster resonance energy transfer (FRET) efficiency. Because of its freely reversible and ratiometric responses, pH-Lemon represents a fluorescent biosensor for pH dynamics. pH-Lemon also shows a sizable pH-dependent fluorescence lifetime change that can be used in fluorescence lifetime imaging microscopy as an alternative observation method for the study of pH in acidic cellular compartments. Fusion of pH-Lemon to the protein microtubule-associated protein 1A/1B-light chain 3B (LC3B), a specific marker of autophagic membranes, resulted in its targeting within autolysosomes of HeLa cells. Moreover, fusion of pH-Lemon to a glycophosphatidylinositol (GPI) anchor allowed us to monitor the entire luminal space of the secretory pathway and the exoplasmic leaflet of the plasma membrane. Utilizing this new pH probe, we revealed neutral and acidic vesicles and substructures inside cells, highlighting compartments of distinct pH throughout the endomembrane system. These data demonstrate, that this novel pH sensor, pH-Lemon, is very suitable for the study of local pH dynamics of subcellular microstructures in living cells.

Entities:  

Keywords:  FLIM; FRET; GPI-anchor; Golgi apparatus; array confocal laser scanning microscopy; fluorescence microscopy; genetically encoded probes; pH

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Substances:

Year:  2019        PMID: 30864782      PMCID: PMC6488996          DOI: 10.1021/acssensors.8b01599

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


Even small pH changes impact protein structures to regulate diverse molecular processes such as enzymatic activities,[1] transporters,[2,3] ion channels,[4−6] and transcription,[7] which eventually determine cell functions. While most biological processes operate optimally at a narrow pH range between pH 7.2 and pH 7.4,[8,9] some require an alkaline or even acidic environment.[10,11] For the decomposition of pathogens,[12] self-digestion in the course of autophagy, as well as protein processing in the endomembrane system,[13] all cells contain highly acidic compartments such as lysosomes and endosomal vesicles with assumed pH values between pH 4.0 and pH 6.0, respectively.[14−16] Vacuolar-type H+-ATPases[17] (V-ATPases) pump H+ across biomembranes of these compartments to acidify their lumens. A loss of these H+ gradients is associated with severe dysfunctions.[18] Given the importance of acidic cellular organelles,[19−21] the development and optimization of pH probes for real-time visualization of pH dynamics is an active research area.[22] Several organic small molecule fluorophores have been developed to label acidic vesicles within cells.[23−25] However, most of these compounds might be cytotoxic and alter the metabolic activity of cells.[25] Moreover, these dyes are released from vesicles upon deprotonation, thus hampering quantification of actual pH levels and dynamics.[25] A more elegant way to assess (sub)cellular pH levels is the application of nontoxic genetically encoded fluorescent biosensors.[26,27] The first FP-based pH biosensor was developed by introducing site specific mutations to a GFP variant which increased its natural pH sensitivity.[26] Miesenböck and colleagues invented and successfully applied these “pHlourins”[26] to visualize local pH changes within vesicles during secretion and synaptic transmission. These pH-sensors, however, are best suited for pH measurements near neutral pH and have very low sensitivity at and below pH 6.0. Another informative type of genetically encoded fluorescent pH sensors is Cy11.5 and pHlameleons.[27] These biosensors consist of the enhanced cyan FP (ECFP)[28] with sizable fluorescence at acidic pH directly fused to a yellow FP variant (YFP).[29] The pHlameleons are ratiometric FRET-based pH probes that have been characterized in detail as recombinant probes in vitro.[27] Cytosolic pHlamelons were also characterized for both ratiometric and lifetime pH imaging in live CHO, PC12, and MCF7 cells. Furthermore, the probes were used to quantify small cytosolic pH changes in response to N-dodecyl (C12) imidazole, a lysosomotropic detergent. However, pHlameleons have yet not been targeted to cellular organelles such as mitochondria, endosomes, or lysosomes.[27] Worth noting, a pHlameleon-like FRET-based pH-sensor family, FluBpH, has been introduced recently, where a flavin-binding fluorescent protein (FbFP) replaces ECFP as a donor, thus eliminating the problem of the pH-dependence of ECFP fluorescence at pH values below 6.5.[30] In this study, we used the pHlameleon principle to design a FRET-based pH biosensor using one of the most pH stable cyan FP variants, mTurquoise2,[31] fused to the highly pH sensitive EYFP.[29] We named this pHlameleon variant pH-Lemon and tested its applicability for imaging the pH of acidic vesicles by fusing it to LC3B or targeting it to the secretory pathway. These approaches demonstrated the suitability of pH-Lemon to detect and study neutral as well as acidic vesicles in intact living cells under various conditions using high-resolution fluorescence microscopy.

Experimental Section

Buffers and Solutions

Materials used for cell culture were purchased from Greiner Bio-One (Kremsmünster, Austria). Restriction enzymes, chemically competent 10-beta Escherichia coli (E. coli) cells for cloning and chemically competent BL21 (DE3) E. coli cells for protein expression were obtained from New England Biolabs (Ipswich, MA, USA). Agar–Agar Kobe I, CaCl2, d-Glucose, HEPES, KCl, MgCl2, NaCl, NaOH, Triton X-100, Trypton/Pepton, and Yeast extract were purchased from Carl Roth (Graz, Austria). Agarose was obtained from VWR International (Vienna, Austria). Lysis buffer (in mM): 100 Na2HPO4, 200 NaCl, 10 imidazole, 250 units of Benzonase Nuclease, and bacterial Protease Inhibitor Cocktail, pH 8.0. Buffer formulations were as follows: Washing buffer (in mM): 100 Na2HPO4, 200 NaCl, 40 Imidazole, pH 8.0. Purification buffer (in mM): 100 Na2HPO4, 200 NaCl, 200 imidazole, pH 8.0. Elution buffer (in mM): 10 HEPES, 0.05% Triton X-100, pH 7.3 with N-Methyl-d-glucamin (NMDG). Characterization of pH-Lemon in vitro was performed using elution buffers with different pH values adjusted, either with HCl or with NMDG. MES was used for the adjustment of pH values below 5.5 and MOPS was used for pH values above 9.0. The physiological buffer used for fluorescence microscopy experiments contained (in mM): 138 NaCl, 5 KCl, 2 CaCl2,1 MgCl2, 10 d-glucose, pH adjusted to 7.4 with NaOH (referred to as “2Ca”). EC50 values in situ were determined using a physiological buffer with different pH, containing either (in mM) 10 MES (for adjustment of pH < 5.5), 10 HEPES (pH 5.5–9.0) or 10 MOPS (pH > 9.0); pH was adjusted using HCl or NaOH. For calcium measurements, cells were equilibrated and incubated in EHL-buffer (in mM): 2 CaCl2, 135 NaCl, 1 MgCl, 5 KCl, 10 Hepes, 2.6 NaHCO3, 0.44 KH2PO4, 0.34 Na2HPO4, 1× amino acids, 1× vitamins, 10 glucose, and 2 l-glutamine with a pH of 7.45. For wide-field imaging of calcium signals, the physiological buffer was modified (in mM): 138 NaCl, 5 KCl, 0.1 EGTA, 1 MgCl2, 10 d-glucose, pH adjusted to 7.4 with NaOH (referred to as “EGTA” in wide-field measurements). Adenosine 5′-triphosphate disodium salt (ATP) was purchased from Carl Roth (Graz, Austria). Neutralization buffer was composed of “2Ca”-buffer with 0.5% NaN3 (Sigma-Aldrich, Vienna, Austria) and 50 mM NH4Cl (Sigma-Aldrich, Vienna, Austria), pH adjusted to 9.0. Bafilomycin-A was purchased from Sigma-Aldrich.

Cloning

The cloning of differently targeted pH-probes was performed using standard cloning protocols provided by the manufacturer. Primers and cloning steps are described in more detail in the SI (page S-2).

Cell Culture and Transfection

HeLa and HEK-293 cells were cultured in DMEM containing 10% FCS, 100 U mL–1 penicillin, 100 μg mL–1 streptomycin, and 2.5 μg mL–1 Fungizone (Thermo Fisher Scientific). For the cultivation of INS-1 832/13 (INS-1) cells, Gibco RPMI 1640 media (ThermoFisher) was used. All cell types were cultivated in a humidified incubator (37 °C, 5% CO2). To transfect HeLa cells, PolyJet (SignaGen Laboratories, Rockville, USA) was used as transfection reagent 48 h prior to measurements according to manufacturer’s protocol. For transfection of INS-1 and HEK-293 cells, TransFast transfection reagent (Promega, Madison, USA) was used. Transfections using TransFast were performed using 1.5 μg plasmid DNA and 2.5 μL TransFast per milliliter. After 4 h, media was replaced with fresh DMEM or Gibco RPMI 1640 media. HEK-293 cells for FLIM imaging were transfected using a modified calcium-phosphate method (for more details see SI page S-2).

Recombinant Protein Expression and Purification

Protein expression was induced by adding 1 mM β-d-1-thiogalactopyranoside (IPTG) at an OD600 of 0.8. Cell pellets were resuspended in 20 mL lysis buffer, followed by sonication (QSONICA Ultrasonic Processor; 12 min, 50% amplitude, 1 s on/off) for cell lysis. Centrifugation at 12 000 rpm for 45 min at 4 °C (Sorvall LYNX 6000) and filtration (0.45 μm cellulose acetate syringe filters) was used to clear the lysates. 5 mL HisTrap columns (GE Healthcare, Vienna, Austria) for immobilized metal affinity chromatography on an ÄKTA pure system (GE Healthcare, Vienna, Austria) were used to purify the proteins. HisTrap columns were equilibrated using lysis buffer. Cleared E. coli lysates were applied to the columns at a flow rate of 2 mL min–1 and contaminants were removed using washing buffer. Finally, proteins were eluted with purification buffer. Proteins were further purified at room temperature using size exclusion columns (10/300 200 pg, GE Healthcare) on an ÄKTA pure system (GE Healthcare) with SEC buffer. Finally, protein concentration was calculated using absorbance at 280 nm, determined by NanoDrop 1000 UV/vis spectrometer (Thermo Fisher Scientific, Vienna, Austria).

Characterization of Recombinant pH-Lemon Variants

The purified proteins were analyzed using the CLARIOstar plate reader (BMG Labtech, Ortenberg, Germany). All proteins were used at a final concentration of 200 nM. To generate the EC50 curve and test the temperature dependency of the recombinant proteins in vitro, samples were analyzed using FRET (excitation at 430 nm ± 10 nm, emission at 475 nm ± 10 nm/dichroic mirror: 452.5 nm and emission at 525 nm ± 10 nm/476.2 nm) and single fluorescent protein fluorimetry (excitation at 430 nm ± 10 nm and 480 nm ± 10 nm, emissions at 475 nm ± 10 nm/452.5 and 525 nm ± 10 nm/501.2 nm). FRET-spectra scans were performed using an excitation of 413.4 nm ± 8 nm and emission was observed sequentially from 450 to 550 nm, where the center wavelength of a 5 nm broad spectral observation window was shifted with a step width of 1 nm. Gain was set to 2000. EYFP spectra were generated using excitation at 480 nm ± 8 nm and emission from 510 to 580 nm where the center wavelength of a 5 nm broad spectral observation window was shifted with a step width of 1 nm. Spectra were normalized for area under the curve.

Live Cell Imaging

Wide-field live cell imaging was performed at an inverted and advanced fluorescent microscope using a 40× or a 100× magnification objective (EC Plan-NEO FLUAR 40×; alpha Plan FLUAR 100×, Zeiss, Göttingen, Germany) with a motorized sample stage (TILL Photonics, Gräfelfing, Germany). The microscope was equipped with the charge-coupled device camera AVT Stingray 25 F145B (Allied Vision Technologies, Stadtroda, Germany). Prior to the measurements cells were equilibrated in storage buffer for 30 min. During the experiment, buffers were exchanged using a flow chamber, connected to a gravity-based perfusion system (NGFI, Graz, Austria) and a vacuum pump (Chemistry diaphragm pump ME 1c, Vacuubrand, Wertheim, Germany). FRET imaging was performed using excitation at 430 nm and emissions at 475 and 525 nm. For single fluorescent protein fluorimetry, CFP and YFP were excited at 430 and 500 nm, respectively. Emissions were collected at 475 and 525 nm. The software Live acquisition 2 (TILL Photonics) was used for acquisition. High resolution imaging was performed using a Nipkow-disk-based array confocal laser scanning microscope (ACLSM). The ACLSM consisted of a Zeiss Axiovert 200 M (Zeiss Microsystems, Jena, Germany) with a 100× objective (α Plan-Fluar 100×/1.45 oil objective, Zeiss Microsystems, Jena, Germany), equipped with VoxCell Scan (VisiTech, Sunderland, UK), and an air cooled argon ion laser system (series 543, CVI Melles Griot, CA, USA). The fluorescent proteins were illuminated sequentially using 415 nm (CFP) and 510 nm (YFP) laser light. Emissions were collected at 475 and 525 nm using a CCD camera (CoolSnap HQ2, Photometrics, Tucson, Arizona, USA) and a binning of 2. For buffer exchange a gravity-based perfusion system (NGFI, Graz, Austria) was used. For cytosolic Ca2+ measurements cells were excited at 340 and 380 nm and emission of Fura-2 was collected at 510 nm.

Fluorescence Lifetime Imaging Microscopy in Situ

Fluoresence lifetime imaging (FLIM) was performed on an upright fluorescence microscope (A1MP; Nikon, Amsterdam, The Netherlands) equipped with a water immersion objective (25×; NA1.1; WD 2 mm; Nikon). Two-photon excitation of the pH-Lemon donor mT2 was achieved by a train of 100 fs light pulses (λexc = 880 nm; 80 MHz; Mai Tai DeepSee HP, Newport Spectra Physics; Irvine, CA). Fluorescence was detected with a GaAsP hybrid photodetector (HPM-100–40; Becker & Hickl, Berlin, Germany) after passing a bandpass filter at 445 ± 45 nm (445BP90, Omega Optical, Brattleboro, VT, USA). Fluorescence intensity decays were generated in every pixel of the image using multidimensional time-correlated single photon counting (TCSPC) employing TCSPC electronics (SPC-152; Becker & Hickl). FLIM images were generated using SPCImage 6.1 (Becker & Hickl) by plotting the amplitude weighted average fluorescence lifetime tau_ave as color-coded value. tau_mean was obtained from iterative least-squares minimizing based fitting routine of a biexponential fitting function which was reconvoluted with the instrument response function to describe the time course of the pixel fluorescence intensity decays properly.

Fluorescence Lifetime Imaging Spectroscopy in Vitro

Fluorescence lifetimes of purified pH-Lemon expressed in E. coli were also determined from time-resolved fluorescence measurements using a time-resolved fluorescence spectrophotometer (Fluotime 100; Picoquant; Berlin; Germany) based on a PicoHarp300 unit (TCSPC-based), with a pulsed diode laser (LDHC440; λexc = 440 nm; 50 ps pulse width; 20 MHz repetition frequency) as excitation source and a photomultiplier for single photon detection. Donor and acceptor emission of pH-Lemon was selected at 475 and 530 nm, respectively, by applying a monochromator.

Calibration of pH-Lemon - cyto

HeLa cells were permeabilized using 5 μM nigericin (Tocris, Abingdon, United Kingdom) and 10 μM monensin (Sigma-Aldrich, Vienna, Austria). The intracellular pH was adjusted via perfusion of an extracellular experimental buffer with distinct pH values.

Calibration of pH-Lemon - GPI

HeLa cells were perfused with an extracellular buffer with pH 4.0 and 10.0 representing the minimum and maximum of the sensor. Respective maximal and minimal ratio signals of the cell surface of single cells were used to define pH values according to the formula shown in SI on page S-2.

Starvation of Cells

For autophagy induction, cells were washed with PBS twice to remove the nutrients and starved for at least 1 h in nutrient free salt-buffer solution (“2Ca-buffer”).

Neutralization of Endosomal Vesicles

Vesicles were either neutralized using incubation with neutralization buffer (see Buffers and Solutions) for 5 min or preincubation with 0.5 μM bafilomycin-A in DMEM for 70 min at 37 °C (for the subsequent experiments, Baf-A was present in every buffer).

Co-Localization of pH-Lemon with mCherry-Golgi-7

Cells were cotransfected with pH-Lemon and mCherry-Golgi-7, which was a gift from Michael Davidson (Addgene plasmid # 55167). For cell fixation, HeLa cells were washed 3 times with PBS, followed by 10 min incubation at room temperature with 3.7% paraformaldehyde (PFA). After 3 additional washing steps, cells were kept in PBS for imaging.

Cytosolic Ca2+ Measurements

For the measurement of cytosolic Ca2+ levels, HeLa cells were washed 3 times with EHL-buffer and then loaded with 3.3 μM Fura-2 AM in EHL-buffer for 45 min. After washing several times with EHL-buffer, cells were measured using wide-field microscopy. 100 μM ATP was used as an IP3-generating agonist in “2 Ca”- or “EGTA”- buffer for Ca2+ mobilization.

Acidic Compartment Staining

LysoTracker Red DND-99 (ThermoFisher, Vienna, Austria) was used for 30 min at 37 °C at a final concentration of 75 nM.

Data Analysis

Obtained data were analyzed using Excel (Microsoft), MetaMorph (Molecular devices), and GraphPad Prism 5 Software (GraphPad Software, Inc., La Jolla, CA, USA). Pseudocolored ratio images were generated using MetaMorph software. Ratio scale was set as demonstrated in the figures. For data visualization, CorelDraw was used. Images generated using ACLSM were adjusted in light and contrast (+40/+40%). For the calculation of the EC50 values, the FRET (or YFP) fluorescence was divided by the mTurquoise2 fluorescence (Figure h,i, Figure S1c, and Figure b). Since 100% of the EYFP fluorescence were quenched at a pH of 4.0, dividing FRET/mTurquoise2 avoided a mathematically incorrect division by 0.
Figure 1

Characterization of mTurquoise2, EYFP, and pH-Lemon in cells and in situ (a–f) and in vitro (g–i). (a) Impact of pH on the fluorescence intensities of mTurquoise2 and EYFP. The two FPs were separately expressed in the cytosol of HeLa cells and the fluorescence intensities in different pH-environments were measured upon cell permeabilization using nigericin and monensin. Data represent average ± SD, n = 3 independent experiments for EYFP, n = 4 independent experiments for mTurquoise2. (b) Sensor scheme of pH-Lemon, a fusion construct of mTurquoise2 and EYFP, which are connected via a flexible linker (red line). (c) Representative pseudocolored wide-field fluorescence ratio (mTurquoise2/FRET) images of HeLa cells expressing cytosolic pH-Lemon at different pH values. Scale bar represents 10 μm. (d) Donor (cyan) and FRET (yellow) intensities of pH-Lemon expressed in HeLa cells upon repetitive switching between pH 4 and pH 10 after cell permeabilization. (e) Respective FRET ratio curve over time according to panel (d). (f) Concentration response curve (CRC) of pH-Lemon (n = 3, average ± SD) and SypHer (n = 3, average ± SD), a single FP-based pH probe with a higher pKa-value in situ. (g) Emission FRET-spectra of purified pH-Lemon at different pH values in vitro. (h) CRC of purified pH-Lemon in vitro (n = 3 ± SD). (i) Representative fluorescence lifetimes of mTurquoise2 alone (cyan circles) or mTurquoise2 as FRET donor within pH-Lemon (red circles) at different pH. Data represents average ± SD of 3–58 cells per pH.

Figure 2

Imaging pH changes with pH-Lemon by separately illuminating mTurquoise2 and EYFP. (a) Emission spectra of mTurquoise2 and EYFP of pH-Lemon at different pH values in vitro. FPs were illuminated at 413 and 480 nm, respectively. (b) Concentration response curve of ratio signals of mTurquoise2 and EYFP of purified pH-Lemon upon separate excitation. Data of in vitro measurements represent n = 3 ± SD. (c) Representative, pseudocolored high resolution ratio (mTurquoise2 fluorescence/EYFP fluorescence) images of HeLa cells expressing cytosolic pH-Lemon. Images were generated using ACLSM. Cells were illuminated with 445 nm laser light to excite mTurquoise2 and then at 514 nm laser light to excite EYFP directly. Scale bar represents 10 μm.

Characterization of mTurquoise2, EYFP, and pH-Lemon in cells and in situ (a–f) and in vitro (g–i). (a) Impact of pH on the fluorescence intensities of mTurquoise2 and EYFP. The two FPs were separately expressed in the cytosol of HeLa cells and the fluorescence intensities in different pH-environments were measured upon cell permeabilization using nigericin and monensin. Data represent average ± SD, n = 3 independent experiments for EYFP, n = 4 independent experiments for mTurquoise2. (b) Sensor scheme of pH-Lemon, a fusion construct of mTurquoise2 and EYFP, which are connected via a flexible linker (red line). (c) Representative pseudocolored wide-field fluorescence ratio (mTurquoise2/FRET) images of HeLa cells expressing cytosolic pH-Lemon at different pH values. Scale bar represents 10 μm. (d) Donor (cyan) and FRET (yellow) intensities of pH-Lemon expressed in HeLa cells upon repetitive switching between pH 4 and pH 10 after cell permeabilization. (e) Respective FRET ratio curve over time according to panel (d). (f) Concentration response curve (CRC) of pH-Lemon (n = 3, average ± SD) and SypHer (n = 3, average ± SD), a single FP-based pH probe with a higher pKa-value in situ. (g) Emission FRET-spectra of purified pH-Lemon at different pH values in vitro. (h) CRC of purified pH-Lemon in vitro (n = 3 ± SD). (i) Representative fluorescence lifetimes of mTurquoise2 alone (cyan circles) or mTurquoise2 as FRET donor within pH-Lemon (red circles) at different pH. Data represents average ± SD of 3–58 cells per pH. Imaging pH changes with pH-Lemon by separately illuminating mTurquoise2 and EYFP. (a) Emission spectra of mTurquoise2 and EYFP of pH-Lemon at different pH values in vitro. FPs were illuminated at 413 and 480 nm, respectively. (b) Concentration response curve of ratio signals of mTurquoise2 and EYFP of purified pH-Lemon upon separate excitation. Data of in vitro measurements represent n = 3 ± SD. (c) Representative, pseudocolored high resolution ratio (mTurquoise2 fluorescence/EYFP fluorescence) images of HeLa cells expressing cytosolic pH-Lemon. Images were generated using ACLSM. Cells were illuminated with 445 nm laser light to excite mTurquoise2 and then at 514 nm laser light to excite EYFP directly. Scale bar represents 10 μm.

Results and Discussion

Based on the principle of pHlameleon,[27] we generated a novel biosensor that builds on the pH stable mTurquoise2[31] and the highly pH sensitive EYFP[29] (Figure a,b and SI Figure S-1a). The fluorescence of mTurquoise2 remained stable over a considerable range of pH values (Figure a). The pH-sensitive EYFP, however, already displayed high pH sensitivity and, thus, a significant loss of fluorescence intensity of 50% at pH 6.3. Moreover, at pH 4.0, the fluorescence intensity of EYFP was almost quenched up to 100% (Figure a). Since the new sensor is based on the bright yellow pH sensitive EYFP, we named it pH-Lemon. Analogously to the pHlameleon principle,[27] pH-Lemon represents a ratiometric pH sensor, that consists of two, via a flexible GGGGS linker, closely fused, differently colored FPs to yield high FRET ratio signals at neutral to alkaline pH values (Figure b). Due to the pH sensitivity of the FRET acceptor, we expected the FRET ratio signal of pH-Lemon to decrease upon acidification (Figure b). Investigation of cells expressing pH-Lemon that were treated with nigericin and monensin and exposed to extracellular solutions of different pH allowed the observation of large pH-dependent, ratiometric changes of the FRET-ratio (Figure c–e). The half maximal effective concentration (EC50) of the pH dependent changes in FRET ratios was 6.3 (6.27–6.35) in situ (Figure f and Figure S-1b). Compared to SypHer (Figure f), another genetically encoded pH biosensor, pH-Lemon displayed a significantly higher sensitivity throughout the neutral-to-acidic pH range. It was demonstrated earlier that mTurquoise2 is suitable as a FRET-donor for multiple acceptors. Since mTurquoise2 has an extremely low pKa and a higher brightness, as well as higher lifetime compared to other cyan FPs, the use of mTurquoise2 seems highly advantageous.[28,31,32] However, the pH-sensitivity of pH-Lemon and pHlameleons might further be adjusted by mutations or exchanging the FRET-acceptor, EYFP, for another FP variant. For further characterization in vitro on a plate reader we purified bacterially expressed pH-Lemon. Figure g shows the emission spectra of purified pH-Lemon at different pH values upon excitation of the FRET donor, i.e., mTurquoise2. In line with our findings in intact cells, acidification reduced the FRET signal and consequently increased mTurquoise2 fluorescence of pH-Lemon (Figure g,h). The EC50 of the recombinant construct was 5.4 (5.3–5.46) (Figure h). The higher pKa values in situ might be due to the intracellular, protein-rich environment, or limited H+ cell-permeability. The strong pH sensitivity of the purified pH-Lemon remained unaffected by increasing the temperature up to 45 °C (Figure S-1c), pointing to the temperature stability of the probe. As depicted in Figure b, in pH-Lemon, the C-terminus of mTurquoise2 was fused to the N-terminus of EYFP via a small, flexible linker to yield high FRET. To verify whether the sequential order of the FPs has an impact on the FRET efficiency we constructed an analogous construct in which the N-terminus of mTurquoise2 was fused to the C-terminus of EYFP (Figure S-1d). This approach increased the dynamic range (Figure S-1d and e), with an EC50 of 6.2 (6.18–6.32) (Figure S-1f). Next we tested whether an additional mTurquoise2 on the C-terminus of mTurquoise2-EYFP to yield a triple FP sensor (Figure S-1g) would further increase the dynamic range. Unexpectedly, the FRET signal of this construct was very low (Figure S-1h). Fluorescence lifetime imaging microscopy (FLIM) of HEK-293 cells expressing mTurquoise2 or pH-Lemon confirmed the pH stability of mTurquoise2, the functionality and the high dynamic range of the pH probe (Figure i). To expand the application of pH-Lemon beyond classical FRET-imaging, we next analyzed the pH sensitivity of pH-Lemon by illuminating both FPs separately (Figure ). Compared to FRET imaging (Figure ) the separate excitation of the pH-stable mTurquoise2 and EYFP of pH-Lemon yielded a higher dynamic range in vitro (Figure a and b) as well as in cells using high resolution array confocal laser microscopy (ACLSM) (Figure c). Notably, the EC50 values of pH-Lemon only moderately changed upon separate excitation from 5.4 to 5.6 (Figure b). The fluorescence lifetime of recombinant pH-Lemon showed strong pH sensitivity confirming the principle and characteristics of the sensor (Figure S-2a). In situ lifetimes for pH-Lemon expressed in HEK-293 cells at different pH values were as followed: 2.477 ns ± 0.09948 ns for pH 7.01, 2.818 ns ± 0.1501 ns for pH 6.05, and 3.686 ns ± 0.117 ns for pH 4.03 (Figure S-2b–h). These experiments emphasize that pH-Lemon is well suited to quantify pH levels and fluctuations in living cells exploiting all advantages of the FLIM technology.[33] Next we performed a series of live-cell-imaging experiments in subcellular locations using differentially targeted pH-Lemons (Figure a–d). As expected, pH-Lemon targeted to the endoplasmic reticulum (ER) (Figure a), the mitochondrial matrix (Figure b), the outermitochondrial membrane (Figure S-3a), or the cytoplasm (Figure S-3b) displayed a clear neutral to alkaline pH-value within these organelles. Because saturation of the biosensor at and above pH 7.5 apparently does not allow discrimination between neutral and alkaline environment (Figure b and c), the ratio signals and, therefore, the pseudocolorations were similar in all of these compartments. For the observation of pH values in autophagosomes, autolysosomes, and lysosomes, we generated a pH-Lemon version using the well-known autophagy marker LC3B.[34] LC3B is important in the initial formation of autophagosomes, also called phagophores. During the following fusion of mature autophagosomes with lysosomes, LC3B contacts the acidic lysosomal lumen.[34,35] Interestingly, in nutrient-starved HeLa cells expressing the autolysosomal targeted pH-Lemon - LC3B, we could detect a clear heterogeneity among vesicles ranging from strongly acidic to neutral pH levels with the more acidic vesicles clustering in the perinuclear region (Figure c).
Figure 3

High-resolution imaging (ACLSM) of organelle targeted pH-Lemon. Representative pseudocolor ratio image (FmTurquoise2/FEYFP) of HeLa cells expressing pH-Lemon targeted into (a) the ER lumen, (b) the mitochondrial matrix, (c) fused to LC3B to target pH-Lemon to autophagosomes and autophagolysosomes, or (d) a GPI-anchor. Scale bar represents 10 μm. (e) Zoom images of pH-Lemon – GPI revealing the different colored vesicles with distinct ratio values, i.e., pH levels. Scale bar in upper panel represents 1 μm, in lower panel 10 μm. (f) X–Y plot showing the number of intracellular structures with defined ratio values, i.e., pH levels per z-plane of individual HeLa cells (small dots, n = 10 cells). Large dots represent average ± SEM. Connections by thin lines represent 1 cell. (g) Comparison of the vesicle area (in pixel) of different colored vesicles. Data represents median ± interquartile ranges, n = 10 cells, 1550 vesicles were analyzed in total.

High-resolution imaging (ACLSM) of organelle targeted pH-Lemon. Representative pseudocolor ratio image (FmTurquoise2/FEYFP) of HeLa cells expressing pH-Lemon targeted into (a) the ER lumen, (b) the mitochondrial matrix, (c) fused to LC3B to target pH-Lemon to autophagosomes and autophagolysosomes, or (d) a GPI-anchor. Scale bar represents 10 μm. (e) Zoom images of pH-Lemon – GPI revealing the different colored vesicles with distinct ratio values, i.e., pH levels. Scale bar in upper panel represents 1 μm, in lower panel 10 μm. (f) X–Y plot showing the number of intracellular structures with defined ratio values, i.e., pH levels per z-plane of individual HeLa cells (small dots, n = 10 cells). Large dots represent average ± SEM. Connections by thin lines represent 1 cell. (g) Comparison of the vesicle area (in pixel) of different colored vesicles. Data represents median ± interquartile ranges, n = 10 cells, 1550 vesicles were analyzed in total. These experiments clearly indicate, that pH-Lemon – LC3B represents a valuable tool to investigate autophagic vesicle maturation or turnover at the level of individual cells. Another pH-sensor was created by fusing pH-Lemon to the glycophosphatidylinositol (GPI) anchor peptide[36] that targets pH-Lemon to the lumen of the Golgi apparatus, the inside of the secretory vesicles emanated from the Golgi, and finally (outwardfacing) the plasma membrane (Figure d). The appropriate targeting of pH-Lemon – GPI to the secretory pathway was confirmed in cells coexpressing pH-Lemon – GPI and mCherry-Golgi-7 (Figure S-3c). An overlay of the mTurquoise2 fluorescence image of pH-Lemon – GPI with the red fluorescent Golgi plasmid revealed a high colocalization in the Golgi as well as the GPI-positive vesicles (Figure S-3c). As expected, a fraction of pH-Lemon could be seen on the plasma membrane as well (Figures d, S-3c–g), indicating that the sensor successfully traversed the entire anterograde secretory pathway. Upon entering the secretory pathway, pH-Lemon – GPI revealed many intracellular acidic vesicles in HeLa (Figure d and e), as well as INS-1 (Figure S-3d) and HEK-293 (Figure S-3e) cells. This suggests that a significant portion of pH-Lemon may be either (1) shunted from the anterograde secretory pathway directly to the endosomal–lysosomal system, for example, from the Golgi, or (2) first delivered to the plasma membrane and then recycled by endocytosis to traverse the endolysosomal system. Interestingly, HEK-293 cells expressing pH-Lemon – GPI possessed numerous large acidic vesicles when imaged using either ACLSM (Figure S-3b) or FLIM (Figure S-4a and d). These findings might point to greater interaction between the secretory and endosomal compartments in HEK-293 cells. In HeLa cells expressing pH-Lemon – GPI we could classify vesicular structures with distinct fluorescence ratio values (FmTurquoise2/FEYFP). These structures include (I) vesicles with different diameters with a red, i.e., very acidic (pH ≤ 4.5) lumen; (II) smaller vesicles with a yellow, i.e., pH ∼ 5.5 lm; (III) very small vesicles with a green lumen, i.e., pH 6.0; (IV) some homogeneous cyan structures, i.e., pH ∼ 6.5 of variable sizes; and (V) larger homogeneous dark blue areas, representing parts of the Golgi complex with an estimated pH of around 7.0 (Figure e–g). Thus, it remains unclear, which of these vesicles belong to the secretory or lysosomal systems. Additional experiments are required to determine their precise identities with specific subcellular compartments. However, by expressing pH-Lemon – GPI, we were able to reveal huge variability of different pH values throughout these important pathways. That these represent distinct vesicle species as opposed to variability in probe concentration is supported by our finding that the total fluorescence (i.e., sum of CFP and YFP fluorescence) of the probe did not correlate with the respective ratio signals of the distinct vesicles/structures (Figure S-3f). Notably, most red and yellow vesicles showed a green border (Figure e) which might result from resolution limitations or vesicle movement within the cell, rather than reflect pH variations within such vesicles. To exclude possible imaging artifacts, we also used FLIM of pH-Lemon – GPI expressed in HEK-293 cells. These experiments showed that the fluorescence lifetime of pH-Lemon – GPI in distinct vesicles varied between 2.2 and 3.5 ns confirming the huge variability of pH values among these subcellular structures (Figure S-4d–f). Interestingly, in the enlarged vesicles of HEK cells, the FLIM measurements also showed lower pH values at the vesicle border (Figure S-4d). One interesting possibility to explain these huge structures with clearly heterogeneous ratio signal is that they might represent multivesicular bodies, containing distinct suborganelle pH values, or the signal might be caused by previously unknown microheterogeneity.[37] However, the vesicular border might also be caused by resolution limitations. In order to eliminate the possibility that the pH sensitive EYFP is degraded, which would, therefore, show an extremely high ratio signal (i.e., red color), we treated cells with a mixture of sodium azide (NaN3) and ammonium chloride (NH4Cl). The combination of these compounds was shown to efficiently neutralize acidic compartments.[38] Addition of NaN3/NH4Cl instantly neutralized most of the acidic vesicles that was accompanied by a decrease of the ratio signal and a clear increase of EYFP fluorescence (Figure S-3g), demonstrating that pH-Lemon – GPI remained stable and functional in such acidic vesicles. To investigate the pH-value of vesicles of the endosomal secretory and lysosomal pathway over time, we imaged pH-Lemon – GPI using a fluorescence wide-field imaging system (Figure ). Although the spatial resolution of this imaging system is considerably lower than that of the array confocal microscope (Figure and Figure S-3), we could clearly detect vesicles with distinct ratio values (Figure a,b, Movie S-1–4). After a short, transient addition of NaN3 and NH4Cl, the vesicles were rapidly neutralized, followed by a reacidification of the vesicles (Figure b). NaN3 and NH4Cl might diffuse through the vesicular membrane to buffer the protons in the vesicular lumen (Figure c). Time-lapse imaging further revealed a high mobility of the acidic vesicles, whereas the ratio signal, i.e., luminal pH, remained relatively constant over minutes. Considering the mild decrease of the ratio signals, it was not possible to discriminate between a low photobleaching effect or an acidification due to mild starvation, since the cells were kept and imaged in “2Ca”-buffer without any amino acids or nutrients (Figure a and Movie S-1). Stimulation of the cells with ATP, an inositol 1,4,5-trisphosphate-generating (IP3) agonist that mobilizes ER-Ca2+ did not considerably affect the ratio signals of pH-Lemon – GPI, but strongly decelerated vesicle movements (Figure S5a and Movie S-2). To transform FRET-ratio signals to actual pH-values, we calibrated pH-Lemon – GPI in HeLa cells using the respective ratio signals on the cell surface upon treatment with extracellular buffers (see Experimental Section). Interestingly, the acidic pH value of vesicles remained almost unaffected by the addition of an alkaline experimental buffer with a pH of 10.0, while a switch to extracellular pH of 4.0 immediately further acidified intracellular vesicles (Figure S-5b and Movie S-3). Such effects might be cell type specific and may depend on the presence of H+/ion exchangers, channels, or pumps.
Figure 4

Wide-field time-lapse fluorescence imaging of pH-Lemon – GPI. (a) Representative time course (left panel) and images (right panel) of estimated pH values in the vesicular regions (ROIs) (n = 10, left panel) over time of HeLa cells expressing pH-Lemon – GPI. Cells were imaged every 3 s. Scale bars represent 10 μm. (b) Representative time course (left panel) and images (right panel) of the effect of the addition and removal of a neutralizing buffer containing of 0.5% (w/v) NaN3 and 50 mM NH4Cl to acidic vesicles in HeLa cells expressing pH-Lemon – GPI. Cells were imaged every 3 s. Scale bars represent 10 μm. (c) Schematic illustration of a cellular vesicle that acidifies its lumen via V-ATPases, ATP-consuming proton pumps located in the vesicular membrane. NaN3 and NH4Cl are proposed to diffuse through the vesicular membrane, causing neutralization.

Wide-field time-lapse fluorescence imaging of pH-Lemon – GPI. (a) Representative time course (left panel) and images (right panel) of estimated pH values in the vesicular regions (ROIs) (n = 10, left panel) over time of HeLa cells expressing pH-Lemon – GPI. Cells were imaged every 3 s. Scale bars represent 10 μm. (b) Representative time course (left panel) and images (right panel) of the effect of the addition and removal of a neutralizing buffer containing of 0.5% (w/v) NaN3 and 50 mM NH4Cl to acidic vesicles in HeLa cells expressing pH-Lemon – GPI. Cells were imaged every 3 s. Scale bars represent 10 μm. (c) Schematic illustration of a cellular vesicle that acidifies its lumen via V-ATPases, ATP-consuming proton pumps located in the vesicular membrane. NaN3 and NH4Cl are proposed to diffuse through the vesicular membrane, causing neutralization. We then used intact HeLa cells expressing pH-Lemon – GPI to test the pH dynamics of acidic vesicle in response to a short transient addition of NaN3/NH4Cl (Figure b and Movie S-4). The pH of all vesicles was rapidly elevated upon the addition of these compounds. Interestingly, the acidic pH of intracellular vesicles was fully reestablished after the removal of NaN3/NH4Cl within approximately 5 min (Figure b and Movie S-4). These experiments demonstrated the suitability of pH-Lemon to quantitatively visualize pH dynamics of cellular organelles with high temporal resolution. Compared to the commonly used LysoTracker Red DND-99,[25] which is irreversibly lost upon vesicle neutralization (Figure S-5c), pH-Lemon – GPI remains functionally intact within organelles of the endosomal and lysosomal pathway (Figure b), pointing to an important advantage of this genetically encoded pH biosensor. We further tested pH-Lemon – GPI for its suitability to report vesicular pH neutralization upon a treatment of cells with bafilomycin-A, a prominent inhibitor of vacuolar-type H+ ATPase (V-ATPase). As expected, bafilomycin-A significantly increased the intravesicular pH (Figure S-6a,b).[39−41] Compared to control cells, cells treated with bafilomycin-A were unable to reacidify intracellular vesicles after NaN3/NH4Cl wash-out, due to inhibition of the V-ATPase (Figure S-6a and c–f), while vesicles significantly reacidified in control cells (Figure S-6c–f).[42] In future, pH-Lemon might represent a valuable tool to study pharmacological compounds and their effect on vesicular pH-dynamics. In conclusion, our data demonstrate a novel FRET-based biosensor, pH-Lemon, that represents a suitable pH reporter for the quantitative high-resolution visualization of pH changes between pH 4.0 and pH 7.0 in different biological samples and models. Since several diseases are correlated with altered cellular pH,[43−46] the estimation and time lapse imaging of these pH changes is of great importance. Furthermore, subcellular pH changes are also produced by key metabolic activities in healthy cells. Hence, besides employment as a pH reporter of cellular organelles, targeted pH-Lemon could therefore be exploited to determine global and local rates of (an-) aerobic glycolysis, lipolysis, and mitochondrial respiration on the level of individual cells.
  45 in total

1.  An improved cyan fluorescent protein variant useful for FRET.

Authors:  Mark A Rizzo; Gerald H Springer; Butch Granada; David W Piston
Journal:  Nat Biotechnol       Date:  2004-02-29       Impact factor: 54.908

Review 2.  Biogenesis and function of multivesicular bodies.

Authors:  Robert C Piper; David J Katzmann
Journal:  Annu Rev Cell Dev Biol       Date:  2007       Impact factor: 13.827

3.  Visualizing secretion and synaptic transmission with pH-sensitive green fluorescent proteins.

Authors:  G Miesenböck; D A De Angelis; J E Rothman
Journal:  Nature       Date:  1998-07-09       Impact factor: 49.962

4.  Cloning and characterization of a novel human pH-dependent organic cation transporter, OCTN1.

Authors:  I Tamai; H Yabuuchi; J Nezu; Y Sai; A Oku; M Shimane; A Tsuji
Journal:  FEBS Lett       Date:  1997-12-08       Impact factor: 4.124

Review 5.  Role of endosomes and lysosomes in human disease.

Authors:  Frederick R Maxfield
Journal:  Cold Spring Harb Perspect Biol       Date:  2014-05-01       Impact factor: 10.005

Review 6.  Perspectives on: SGP symposium on mitochondrial physiology and medicine: the renaissance of mitochondrial pH.

Authors:  Jaime Santo-Domingo; Nicolas Demaurex
Journal:  J Gen Physiol       Date:  2012-06       Impact factor: 4.086

7.  Autophagosome-lysosome fusion is independent of V-ATPase-mediated acidification.

Authors:  Caroline Mauvezin; Péter Nagy; Gábor Juhász; Thomas P Neufeld
Journal:  Nat Commun       Date:  2015-05-11       Impact factor: 14.919

Review 8.  The chemistry, physiology and pathology of pH in cancer.

Authors:  Pawel Swietach; Richard D Vaughan-Jones; Adrian L Harris; Alzbeta Hulikova
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-02-03       Impact factor: 6.237

9.  A measure of endosomal pH by flow cytometry in Dictyostelium.

Authors:  Anna Marchetti; Emmanuelle Lelong; Pierre Cosson
Journal:  BMC Res Notes       Date:  2009-01-12

Review 10.  The endosomal-lysosomal system: from acidification and cargo sorting to neurodegeneration.

Authors:  Yong-Bo Hu; Eric B Dammer; Ru-Jing Ren; Gang Wang
Journal:  Transl Neurodegener       Date:  2015-09-30       Impact factor: 8.014

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  30 in total

1.  SCAMP5 plays a critical role in axonal trafficking and synaptic localization of NHE6 to adjust quantal size at glutamatergic synapses.

Authors:  Unghwi Lee; Chunghon Choi; Seung Hyun Ryu; Daehun Park; Sang-Eun Lee; Kitae Kim; Yujin Kim; Sunghoe Chang
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-12       Impact factor: 11.205

2.  Agonist-mediated switching of ion selectivity in TPC2 differentially promotes lysosomal function.

Authors:  Susanne Gerndt; Cheng-Chang Chen; Yu-Kai Chao; Yu Yuan; Sandra Burgstaller; Anna Scotto Rosato; Einar Krogsaeter; Nicole Urban; Katharina Jacob; Ong Nam Phuong Nguyen; Meghan T Miller; Marco Keller; Angelika M Vollmar; Thomas Gudermann; Susanna Zierler; Johann Schredelseker; Michael Schaefer; Martin Biel; Roland Malli; Christian Wahl-Schott; Franz Bracher; Sandip Patel; Christian Grimm
Journal:  Elife       Date:  2020-03-16       Impact factor: 8.140

3.  A novel live-cell imaging assay reveals regulation of endosome maturation.

Authors:  Maria Podinovskaia; Cristina Prescianotto-Baschong; Dominik P Buser; Anne Spang
Journal:  Elife       Date:  2021-11-30       Impact factor: 8.140

4.  Complexities of the chemogenetic toolkit: Differential mDAAO activation by d-amino substrates and subcellular targeting.

Authors:  Yusuf C Erdogan; Hamza Y Altun; Melike Secilmis; Busra N Ata; Gulsah Sevimli; Zeynep Cokluk; Asal Ghaffari Zaki; Serap Sezen; Tuba Akgul Caglar; İlker Sevgen; Benjamin Steinhorn; Huiwang Ai; Gürkan Öztürk; Vsevelod V Belousov; Thomas Michel; Emrah Eroglu
Journal:  Free Radic Biol Med       Date:  2021-10-20       Impact factor: 7.376

5.  Towards 'end-to-end' analysis and understanding of biological timecourse data.

Authors:  Siddhartha G Jena; Alexander G Goglia; Barbara E Engelhardt
Journal:  Biochem J       Date:  2022-06-17       Impact factor: 3.766

6.  Fluorescent toys 'n' tools lighting the way in fungal research.

Authors:  Wouter Van Genechten; Patrick Van Dijck; Liesbeth Demuyser
Journal:  FEMS Microbiol Rev       Date:  2021-09-08       Impact factor: 16.408

7.  Systematic Comparison of Vesicular Targeting Signals Leads to the Development of Genetically Encoded Vesicular Fluorescent Zn2+ and pH Sensors.

Authors:  Evan P S Pratt; Kelsie J Anson; Justin K Tapper; David M Simpson; Amy E Palmer
Journal:  ACS Sens       Date:  2020-12-11       Impact factor: 7.711

Review 8.  Visual pH Sensors: From a Chemical Perspective to New Bioengineered Materials.

Authors:  Luigi Di Costanzo; Barbara Panunzi
Journal:  Molecules       Date:  2021-05-16       Impact factor: 4.411

9.  Litmus-Body: A Molecularly Targeted Sensor for Cell-Surface pH Measurements.

Authors:  Joe Chin-Hun Kuo; Marc C Goudge; Ann E Metzloff; Ling-Ting Huang; Marshall J Colville; Sangwoo Park; Warren R Zipfel; Matthew J Paszek
Journal:  ACS Sens       Date:  2020-05-15       Impact factor: 7.711

10.  Genetically Encoded, pH-Sensitive mTFP1 Biosensor for Probing Lysosomal pH.

Authors:  Marcus Y Chin; Anand R Patwardhan; Kean-Hooi Ang; Austin L Wang; Carolina Alquezar; Mackenzie Welch; Phi T Nguyen; Michael Grabe; Anna V Molofsky; Michelle R Arkin; Aimee W Kao
Journal:  ACS Sens       Date:  2021-06-08       Impact factor: 7.711

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