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Journal of Lipid Research logoLink to Journal of Lipid Research
. 2020 Apr 27;61(6):945–952. doi: 10.1194/jlr.D120000794

A direct fluorometric activity assay for lipid kinases and phosphatases

Jiachen Sun 1, Indira Singaram 1, Mona Hoseini Soflaee 1, Wonhwa Cho 1,1
PMCID: PMC7269761  PMID: 32341006

Abstract

Lipid kinases and phosphatases play key roles in cell signaling and regulation, are implicated in many human diseases, and are thus attractive targets for drug development. Currently, no direct in vitro activity assay is available for these important enzymes, which hampers mechanistic studies as well as high-throughput screening of small molecule modulators. Here, we report a highly sensitive and quantitative assay employing a ratiometric fluorescence sensor that directly and specifically monitors the real-time concentration change of a single lipid species. Because of its modular design, the assay system can be applied to a wide variety of lipid kinases and phosphatases, including class I phosphoinositide 3-kinase (PI3K) and phosphatase and tensin homolog (PTEN). When applied to PI3K, the assay provided detailed mechanistic information about the product inhibition and substrate acyl-chain selectivity of PI3K and enabled rapid evaluation of small molecule inhibitors. We also used this assay to quantitatively determine the substrate specificity of PTEN, providing new insight into its physiological function. In summary, we have developed a fluorescence-based real-time assay for PI3K and PTEN that we anticipate could be adapted to measure the activities of other lipid kinases and phosphatases with high sensitivity and accuracy.

Keywords: lipid phosphatases, high-throughput inhibitor screening, phosphoinositide 3-kinase/phosphatase and tensin homolog, ratiometric sensor, real-time activity assay, enzyme kinetics


Lipids are ubiquitous regulatory molecules that control a wide variety of biological processes primarily by modulating the localization, structure, function, and activity of effector proteins (13). Specificity and fidelity of lipid-mediated cellular signal transduction and regulation critically depend on lipid-modifying enzymes, including lipid kinases, lipid phosphatases, and phospholipases, which interconvert different lipid species and thereby control their cellular levels. For instance, the cellular levels of phosphoinositides, which play pivotal roles in cell signaling and membrane trafficking, are tightly regulated by a panel of kinases and phosphatases in a spatiotemporally specific and stimulus-dependent manner (4, 5). Due to their crucial roles in health and disease, lipid kinases and phosphatases have been extensively studied in terms of structure, physiological function, and cellular regulation (6, 7). However, detailed studies of the enzymatic properties of these proteins, which are necessary for full understanding of their biological functions and development of specific small molecule modulators for them, have been hampered by lack of direct and quantitative continuous enzyme activity assays. Enzymatic activity of lipid kinases and phosphatases is typically measured by a radioactivity-based assay (8, 9), which is suited for neither quantitative and mechanistic enzyme studies nor small molecule modulator screening. To overcome these technical limitations, we developed a fluorescence-based real-time activity assay for lipid kinases and phosphatases. This new assay allows quantitative analysis of enzyme kinetics for these enzymes and rapid screening of their small molecule modulators.

Class I phosphoinositide 3-kinase (PI3K) converts phosphatidylinositol-4,5-bisphosphate (PI4,5P2) in the plasma membrane (PM) to phosphatidylinositol-3,4,5-trisphosphate (PIP3) (10). PIP3 is a potent signaling lipid that activates myriad of cellular processes (10, 11). PIP3 carries out its signaling functions primarily by facilitating PM recruitment of cellular proteins with PIP3-binding domains and motifs, most notably the pleckstrin homology (PH) domain (12). Dysregulated PI3K signaling has been linked to various human diseases, including cancer (13, 14) and inflammatory diseases (15), and thus PI3K signaling pathways are major targets for drug development (16). Despite numerous studies on PI3K signaling pathways, the enzymatic properties of PI3K have not been fully characterized largely due to the lack of a direct and continuous assay that allows thorough and systematic enzyme kinetic studies (8). The action of PI3K is counterbalanced by phosphatase and tensin homolog (PTEN), which converts PIP3 to PI4,5P2, thereby serving as a tumor suppressor (17, 18). PTEN is frequently deleted in cancer. It has been recently reported that there are multiple isoforms of PTEN with different subcellular localization and function (19, 20) and that PTEN may have promiscuous lipid phosphatase activity (21). As is the case with PI3K, the lack of an available direct activity assay has hampered full characterization of PTEN isoforms (9). Our new fluorescence-based activity assay, which enables direct quantitative analysis of enzyme kinetics for PI3K and PTEN through real-time quantification of their substrate and/or product, provides new mechanistic insight for these enzymes and also serves as a convenient tool for identification and characterization of enzyme modulators.

MATERIALS AND METHODS

Materials

The POPC and 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoserine (POPS) were from Avanti Polar Lipids. The 1,2-dioleoyl and 1-stearoyl-2-arachidonoyl derivatives of PI4,5P2 (SAPI4,5P2) were also from Avanti Polar Lipids. The 1,2-dipalmitoyl derivatives of PI4,5P2, phosphatidylinositol-3,4-bisphosphate (PI3,4P2), and PIP3 were from Cayman Chemical Company. The cDNA for PTEN was purchased from OriGene (SC119965). The pY2 peptide (ESDGGpYMDMSKDESIDpYVPMLDMKGDIKYA), derived from the mouse platelet-derived growth factor (PDGF)β (22), was manually prepared by the FMOC-based solid phase peptide synthesis on a 200 μmol scale and purified by reverse phase HPLC using a linear gradient of CH3CN (5–50%) in water containing 0.1% trifluoroacetic acid. Fractions containing the desired peptide were lyophilized, desalted, and characterized by MALDI-TOF.

Vesicle preparation

Lipid solutions were mixed according to the final lipid composition of vesicles and the solvent was evaporated under a stream of nitrogen gas. Tris buffer (pH 7.4; 20 mM) containing 0.16 M NaCl was added to the lipid film and the mixture was shaken for 0.5 h and then sonicated for 1 min. Large unilamellar vesicles (LUVs) with a 100 nm diameter were then prepared by extrusion using the Avanti Mini-Extruder with a 100 nm polycarbonate filter (Whatman).

Protein expression and purification

Two subunits of PI3Kβ, p110β and p85β, were coexpressed in insect cells as described previously with minor modifications (22). Recombinant baculoviruses for p110β and p85β were amplified in Spodoptera frugiperda (Sf9) cells. BTI-Tn-5B1-4 (High Five) suspension insect cells (2 × 106 cells/ml) were then co-infected with p110β and p85β baculoviruses (MOI ratio = 1:3) for protein expression. Cells were harvested 72 h after infection. Cell pellets were suspended in a buffer containing 50 mM Tris, 300 mM NaCl, 10 mM imidazole, 1 mM tris(2-carboxyethyl) phosphine (TCEP), and 1 mM phenylmethylsulphonyl fluoride (PMSF) (pH 7.9) and lysed using a hand-held homogenizer (Tissue Grinder Size C; Thomas Scientific). After centrifugation of the homogenate, the supernatant was incubated with the Ni-NTA resin (Marvelgent Biosciences Inc.) for 2 h. The resin was then poured into a small column and washed with buffer A [20 mM Tris-HCl, 300 mM NaCl, 10 mM imidazole (pH 7.9)] and then buffer B [20 mM Tris-HCl, 300 mM NaCl, 40 mM imidazole (pH 7.9)]. The protein was eluted with the elution buffer [20 mM Tris-HCl, 160 mM NaCl, 300 mM imidazole, 1 mM PMSF, 0.5 mM TCEP, 50 mM arginine, 50 mM glutamic acid (pH 7.9)].

The cDNA for PTEN (OriGene) was subcloned into the pET-30 a (+) vector with a His6-tag, which was then transfected into Escherichia coli BL21 RIL codon plus (Stratagene) cells. After the optical density of cell suspension reached 0.6–0.8, protein expression was induced overnight at room temperature with 0.2 mM (final concentration) isopropyl β-d-1-thiogalactopyranoside. Cell pellets were lysed by sonication and the supernatant was incubated with the Ni-NTA resin after centrifugation of the homogenate. The protein was purified as described above. The purity of the proteins was checked by sodium dodecylsulfate polyacrylamide gel electrophoresis.

Ratiometric lipid sensor preparation and characterization

The engineered epsin1 ENTH domain (eENTH) (23), tandem PH domains of myoxin X (eMyoX-tPH) (24), and C-terminal PH domain of Tapp2 (eTapp2-cPH), which have been employed as specific sensors for PI4,5P2 (23), PIP3 (24), and PI3,4P2 (25), respectively, were expressed as glutathione-S-transferase-tagged proteins in BL21 RIL codon plus cells and purified as described previously. Protein expression was induced overnight at room temperature with 0.5 mM (final concentration) isopropyl β-d-1-thiogalactopyranoside when the optical density of the media reached 0.6–0.8. Cells were harvested and cell pellets were suspended in 20 mM Tris buffer (pH 7.4) with 160 mM NaCl, 1 mM TCEP, and 1 mM PMSF and then lysed by sonication. The supernatant was incubated with glutathione resin (GenScript) for 2 h. The resin mixture was then poured into a small column and washed with 20 mM Tris buffer (pH 7.4) containing 0.16 M NaCl. After the resin became clear, the buffer solution was replaced by 5 ml of labeling buffer [50 mM Tris-HCl, 300 mM NaCl, 1 mM TCEP, 50 mM arginine, 50 mM glutamic acid (pH 8.0)]. After adding 100 μl of a cysteine-reactive solvatochromic fluorophore (10 mg/ml in DMSO), acrylodan (Thermo Fisher), or a Nile Red derivative, NR3 (24), the mixture was gently shaken at room temperature for 2 h. The resin was then washed with 20 mM Tris buffer (pH 7.4) containing 0.16 M NaCl and 5% DMSO until the free dye was completely removed. The resin was then suspended in the digest buffer [20 mM Tris-HCl, 160 mM NaCl, 20 mM CaCl2, 0.5 mM TCEP, 50 mM arginine, 50 mM glutamic acid (pH 7.4)] containing 40 U of bovine α-thrombin (Haematologic Technologies). After the overnight incubation at 4°C to remove the glutathione-S-transferase tag, the sensor was eluted from the column and any insoluble matter was removed by centrifugation at 4°C. The purity of the sensor was confirmed by sodium dodecylsulfate polyacrylamide gel electrophoresis and the protein concentration was determined by the Bradford assay. The activity of the purified sensor was routinely checked by a quick three-point fluorometric measurement. For DAN-eENTH, for example, its fluorescence emission intensity at 470 nm (F470) and at 530 nm (F530) was measured with three LUVs, e.g., 10, 50, and 100 μM of POPC/POPS/PI4,5P2 (77:20:3). The ratio (F470/F530) values from these measurements should lie within the 10% range of the standard calibration curves (see Fig. 1A) for the sensor to be qualified for the enzyme assay.

Fig. 1.

Fig. 1.

Fluorescence emission spectra (A–C) of DAN-eENTH (PI4,5P2 sensor), DAN-eMyoX-tPH (PIP3 sensor), and NR3-eTapp2-cPH (PI3,4P2 sensor) as a function of the lipid concentration and resulting ratiometric calibration curves (D–F). A–C: POPC/POPS/PI4,5P2 (or PIP3 or PI3,4P2) (77/20/3) LUVs with varying total lipid concentrations [from 0, 10, 20, 30, 40, 50, 80, 100 to 155 μM (1–100 μM for NR3-eTapp2-cPH) from bottom to top] were added to each sensor (500 nM) and fluorescence emission spectra were monitored with the excitation wavelength set at 380 nm for DAN-labeled sensors and 560 nm for NR3-labeled sensors, respectively. The spectra of the sensors without lipid vesicles are indicated by arrows. The change in fluorescence emission intensity (ΔF) for each vesicle was normalized against the maximal fluorescence increase value (ΔFmax) observed for each sensor. Each spectrum is from a single representative scan selected from triplicate measurements (n = 3) that showed essentially the same patterns. D–F: From the emission spectra, the ratio of fluorescence intensity at 470 nm versus that at 530 nm (F470/F530) for DAN-eENTH (D) and DAN-eMyoX-tPH (E) and F600/F675 for NR3-eTapp2-cPH (F), respectively, were calculated. Nonlinear least-squares analysis of the plots using the equation (e.g., for DAN-eMyoX-tPH): F470/F530 = (F470/F530)min + (F470/F530)max/(1 + Kd/[PIP3]) yielded Kd, (F470/F530)max, and (F470/F530)min values and the calibration curves were constructed using these parameters. Kd, (F470/F530)max, and (F470/F530)min values are the equilibrium dissociation constant, the maximal F470/F530 value, and the minimal F470/F530 value, respectively. Data in D–F indicate mean ± SD from the triplicate measurements.

Spectrofluorometric activity assay

All cuvette-based continuous activity assays were performed with the FluoroLog3 spectrofluorometer at 37°C in a 1 ml quartz cuvette (Hellma Analytics). For the PI3K activity assay, 874 μl of 20 mM Tris buffer (pH 7.4) containing 0.16 M NaCl were mixed with 100 μl of POPC/POPS/PI4,5P2 (77:20:3; 400 μg/ml) LUVs at the indicated concentration, 5 μl of 50 μM lipid senor (final concentration, 500 nM), 10 μl of 0.1 mM pY2 peptide (final concentration,: 500 nM), and 10 μl of 0.1 M ATP (final concentration: 0.1 mM). The reaction was initiated by adding 1 μl of enzyme solution (0.5–12.5 μM) to the mixture to a final concentration of 1–25 nM and continuously monitored by measuring the blue-shifted emission of the sensor at 470 nm with the excitation wavelength set at 380 nm. Alternatively, the reaction was triggered by adding ATP or pY2 peptide to the mixture containing all other components. The reaction by PTEN was monitored in a similar manner except for the absence of ATP and the pY2 peptide in the reaction mixture. For NR3-eTapp2-cPH, the reaction was monitored at 675 nm with the excitation wavelength set at 560 nm.

Fluorescence plate reader assay

Enzyme reactions were also monitored with the BioTek Synergy Neo HTS multi-mode plate reader using nontreated black polystyrene 96-well plates (Corning Inc.). For the PI3K activity assay, 200 μl of buffer solution [20 mM Tris buffer (pH 7.4) with 0.16 M NaCl] containing PI3Kβ and lipid LUVs with the indicated concentrations, 500 nM lipid sensor and 10 μM pY2 peptide were added to each well. After a 5 min incubation, the reaction was triggered by adding ATP (final concentration: 0.1 mM) to the mixture and the fluorescence emission intensity was simultaneously measured at two wavelengths (470 nm and 530 nm for DAN-based sensors with the excitation set at 380 nm). The PTEN assay was performed in a similar manner except that ATP and pY2 were absent in the reaction mixture. For NR3-eTapp2-cPH, the emission intensity was measured at 600 nm and 675 nm with the excitation set at 560 nm.

PI3K inhibition assay

Two hundred microliters of buffer solution [20 mM Tris buffer (pH 7.4) with 0.16 M NaCl] containing 10 nM PI3Kβ and 50 μM lipid LUVs, 500 nM DAN-eENTH, 10 μM pY2 peptide, and varying concentrations of inhibitor (0–1 μM for GDC-0941 and wortmannin and 0–1 mM for LY294002) were added to each well. After a 10 min incubation, the reaction was triggered by adding ATP (final concentration: 0.1 mM) to the mixture and the fluorescence emission intensity was simultaneously measured at 470 nm and 530 nm with the excitation set at 380 nm.

Kinetic data analysis

All fluorescence intensity ratios (F470/F530 for DAN-eENTH and DAN-eMyoX-tPH and F600/F675 for NR3-eTapp2-cPH) at different time points were converted into total PI4,5P2 (PIP3 or PI3,4P2) concentrations by Excel using respective ratiometric calibration curves (Fig. 1D–F) to yield full enzyme reaction curves. The initial rate (Vo) of enzyme reaction was then calculated from the initial linear part of the reaction curves. Apparent Michaelis-Menten kinetic parameters were calculated by nonlinear least-squares analysis using the Michaelis-Menten equation, Vo = kcat Eo/(1 + Km/So), where Eo and So are the bulk molar concentrations of enzyme and substrate, respectively, and kcat and Km are the turnover number and Michaelis constant, respectively. The enzyme inhibition data were analyzed by nonlinear least-squares analysis using a simple competitive inhibition equation, Vo = Vo max/(1 + Io/IC50), where Vo max, Io, and IC50 are maximal Vo, the initial inhibitor concentration, and the inhibitor concentration yielding half-maximal inhibition. All kinetics parameters were expressed as average ± SD from minimum of triplicate measurements.

RESULTS AND DISCUSSION

Assay strategy

We recently developed a fluorescence-based ratiometric imaging analysis that allows accurate in situ quantification of cellular lipids in live cells (2327). This method utilizes a ratiometric fluorescence sensor prepared from a genetically engineered lipid binding domain that is chemically labeled on a single site with a solvatochromic fluorophore that exhibits a large change in fluorescence emission upon lipid binding. After in vitro calibration of the lipid sensor using lipid vesicles with the varying lipid composition, the sensor is delivered to cells for in situ lipid quantification with high spatiotemporal resolution and accuracy. In this work, we applied the same lipid quantification technology to the in vitro real-time activity measurement for lipid kinases and phosphatases. For instance, we directly measured the enzymatic kinetics of PI3K through real-time spectrofluorometric quantification of either its substrate, PI4,5P2, or its product, PIP3. Likewise, we monitored the enzyme activity of its counterbalancing enzyme, PTEN, by following the kinetics of the PIP3 decrease or the PI4,5P2 increase. As sensors for PI4,5P2 and PIP3, we selected DAN-eENTH (23) and DAN-eMyoX-tPH (25), respectively, which have been fully characterized and successfully used for in situ quantification of cellular PI4,5P2 and PIP3. Spectrofluorometric properties of these sensors and their ratiometric lipid titration curves are shown in Fig. 1. Briefly, these solvatochromic sensors displayed a hypsochromic shift (or blue shift) of the fluorescence emission peak from 530 to 470 nm upon membrane lipid binding, and the intensity at 470 nm was increased proportionally to the increase in the concentration of their cognate lipid (Fig. 1A, B). Data in Fig. 1 were collected by varying the total lipid concentration of vesicles with a fixed PI4,5P2 (PIP3 or PI3,4P2) composition [e.g., POPC/POPS/PI4,5P2 (77:20:3 in mole percent)], but similar results were obtained when the PI4,5P2 (PIP3 or PI3,4P2) content in the vesicles was varied (e.g., POPC/POPS/PI4,5P2 = 80-x:20:x, x = 0–10 mol%) with the fixed total lipid concentration (not shown). The ratio of fluorescence intensity at 470 nm versus that at 530 nm (F470/F530) showed hyperbolic dependence of the lipid concentration (Fig. 1D, E). These ratiometric calibration curves allowed direct conversion of F470/F530 values into lipid concentrations, thereby enabling quantitative real-time monitoring of changes in the substrate or product concentration and thus robust kinetic analysis of the reaction.

Conditions and efficiency of the PI3K activity assay

The cellular activation PI3K, which is composed of two subunits, p110 (catalytic subunit) and p85 (regulatory subunit), involves binding of two SH2 domains in the p85 to phosphotyrosines (pY) in an activating protein, such as a receptor tyrosine kinase, which relieves p110 from its inhibitory tethering by p85 (22). It has been shown that PI3Kβ can be activated in vitro by a pY-containing peptide derived from PDGFβ (pY2) (22). Addition of PI3Kβ and cofactors to the mixture of POPC/POPS/PI4,5P2 (77:20:3 in mole percent) LUVs and DAN-eENTH resulted in a rapid decrease in F470/F530 (data not shown). Conversion of F470/F530 into the total PI4,5P2 concentration by the calibration curve (see Fig. 1D) yielded a kinetic curve of PI4,5P2 disappearance (Fig. 2A). The order of addition of different reagents did not affect the kinetic curve (Fig. 2A). When the PIP3 sensor (DAN-eMyoX-tPH) was employed in place of the PI4,5P2 sensor, the reaction led to a rapid increase in F470/F530, which was converted into the total PIP3 concentration, yielding the kinetic curve of PIP3 appearance (Fig. 2B). Throughout the reaction, the sum of the PI4,5P2 and PIP3 concentrations remained constant (Fig. 2A, B), verifying that our assay faithfully monitors the conversion of PI4,5P2 to PIP3 by PI3K. The reaction could be monitored with either a cuvette-based spectrofluorometer or a plate reader.

Fig. 2.

Fig. 2.

PI3K activity monitored by DAN-eENTH (A) and DAN-eMyoX-tPH (B). A: Kinetics of PI3Kβ-catalyzed PI4,5P2 phosphorylation. DAN-eENTH (500 nM) was incubated with 50 μM POPC/POPS/PI4,5P2 (77/20/3) LUVs for 1 min, and then 10 nM PI3Kβ, 10 μM pY2 peptide, and 100 μM ATP were added in different order as indicated. The time course of F470/F530 was then converted into the total PI4,5P2 concentration using the calibration curve (see Fig. 1D). B: Kinetics of PI3Kβ-catalyzed PIP3 formation. The same as in A except that DAN-eMyoX-tPH was employed in place of DAN-eENTH. Notice that the order of addition of reagents did not affect the kinetic curves. The data are representative sets from quadruple independent measurements (n = 4).

Kinetic analysis of PI3K reaction

It has been shown that the reaction catalyzed by interfacial enzymes, most notably phospholipases, follows complex mechanisms involving interfacial binding/unbinding of the enzyme, which often makes it difficult to analyze interfacial enzyme kinetics by the conventional Michaelis-Menten kinetics (28, 29). To determine whether the reaction catalyzed by PI3Kβ could be analyzed by the Michaelis-Menten kinetics, we measured the initial rate (Vo) as a function of total enzyme concentration (Eo) and substrate concentration (So or [PI4,5P2]o), respectively. According to the Michaelis-Menten kinetics [i.e., Vo = kcat Eo/(1 + Km/So), where kcat and Km are turnover number and Michaelis constant, respectively], Vo should be linearly proportional to Eo at a given So and show hyperbolic dependence on So at a given Eo. As shown in Fig. 3A and B, Vo was linearly proportional to Eo in the range of 0–25 nM when [PI4,5P2]o was kept at 50 μM. Also, Vo showed typical hyperbolic dependence on [PI4,5P2]o in the range of 0–50 μM with Eo = 10 nM (Fig. 3C, D). The Vo versus [PI4,5P2]o plot was successfully fit by nonlinear least-squares analysis using the Michaelis-Menten equation (Fig. 3D) and the analysis yielded kcat (= 50 ± 5 s−1) and Km (36 ± 6 μM) values. These results indicate that although the PI3K-catalyzed reaction might involve more steps than the conventional homogenous enzyme catalysis, our activity assay allows robust determination of (apparent) kinetic parameters by the straightforward Michaelis-Menten analysis and that these parameters can be used to quantitatively assess the effects of diverse factors, including PI3K mutations and variation of the substrate structure, on the PI3K enzyme activity.

Fig. 3.

Fig. 3.

Kinetic analysis of PI3K reactions. A: The kinetics of PI4,5P2 phosphorylation as a function of the increasing PI3Kβ concentration. DAN-eENTH (500 nM) was incubated with 50 μM POPC/POPS/PI4,5P2 (77/20/3) LUVs for 1 min, and then 0–25 nM (0, 3, 5, 8, 10, 12, 15, 18, 20, and 25 nM from top to bottom) PI3Kβ, 10 μM pY2 peptide, and 100 μM ATP were added to initiate the reaction. Notice that the reaction did not go to completion even with the increasing concentrations of PI3Kβ. B: The initial rate of PI4,5P2 phosphorylation as a function of the PI3Kβ concentration. The plot was analyzed by linear regression using the equation: Vo = kcat Eo/(1 + Km/So). C: The kinetics of PI4,5P2 phosphorylation as a function of the increasing PI4,5P2 concentration. DAN-eENTH (500 nM) was incubated with 0–50 μM (0, 5, 10, 15, 20, 25, 30, 35, 40, and 50 μM from top to bottom) POPC/POPS/PI4,5P2 (77/20/3) LUVs for 1 min, and then 10 nM PI3Kβ, 10 μM pY2 peptide, and 100 μM ATP were added to initiate the reaction. D: The initial rate of PI4,5P2 phosphorylation as a function of the PI3Kβ concentration. The plot was analyzed by nonlinear least-squares fit using the equation: Vo = kcat Eo/(1 + Km/So). E: The kinetics of PI4,5P2 phosphorylation as a function of the increasing product (PIP3) concentration added to the reaction mixture. DAN-eENTH (500 nM) was incubated with 50 μM of POPC/POPS/PI4,5P2/PIP3 (77-x/20/3/x; x = 0, 0.5, 1, 1.5, 2, and 3 mol% from top to bottom) LUVs for 1 min, and then 10 nM PI3Kβ, 10 μM pY2 peptide, and 100 μM ATP were added to initiate the reaction. F: Relative activity of PI3Kβ (expressed in terms of kcat/Km) toward PI4,5P2 with different acyl chains, including SAPI4,5P2 [(1.2 ± 0.1) × 106 M−1s−1], 1,2-dipalmitoyl-PI4,5P2 [(1.4 ± 0.1) × 106 M−1s−1], and 1,2-dioleoyl-PI4,5P2 [(1.1 ± 0.2) × 106 M−1s−1]. The kcat and Km for these PI4,5P2 molecules were determined from the respective Vo versus [PI4,5P2]o plots. The data in A–C are representative sets from quadruple independent measurements (n = 4). Data in B–D indicate mean ± SD from the measurements. The data in E are a representative set from triplicate independent measurements, whereas the data in F indicate the mean ± SD from triplicate measurements.

Interestingly, the concentration of PIP3 reached only 60% of PI4,5P2, even with the saturating concentration of PI3K (i.e., >50 nM; see also Fig. 3A). To explore the possibility that this was due to product inhibition, we carried out the PI3K reaction in the presence of varying concentrations of PIP3 in the PI4,5P2-containing vesicles [i.e., POPC/POPS/PI4,5P2/PIP3 (77-x/20/3/x; x = 0-3 mol%)]. As shown in Fig. 3E, the initial rate decreased as a function of pre-added PIP3 and essentially reached an undetectable level when the equimolar PIP3 and PI4,5P2 were present in the same vesicles. These results support the notion that PIP3 inhibits the PI3K reaction. This feedback inhibition mechanism might also contribute to the regulation of cellular PI3K activity under physiological conditions. In fact, our recent in situ quantification showed that stimulation of PI3K by growth factors converts only about 60% of PI4,5P2 into PIP3 at the PM of PTEN-null mammalian cells (25).

Acyl chain specificity of PI3K

It has been well documented that the PI4,5P2 present in the PM of mammalian cells mainly contains the stearoyl group in the sn-1 position and the arachidonoyl group in the sn-2 position (30). This raises the question as to whether PI3K has evolved to specifically recognize 1-stearoyl-2-arachidonoyl-PI4,5P2 (SAPI4,5P2). To check the potential PI4,5P2 acyl chain selectivity of PI3K, we determined the kinetic parameters for the PI3Kβ-catalyzed phosphorylation of various commercially available PI4,5P2s with different acyl chains, including SAPI4,5P2, 1,2-dipalmitoyl-PI4,5P2, and 1,2-dioleoyl-PI4,5P2. Briefly, we determined kcat and Km values for these PI4,5P2 molecules from their Vo versus [PI4,5P2]o plots (see for example, Fig. 3D) and compared the relative activity of PI3Kβ for them in terms of kcat/Km. As shown in Fig. 3F, PI3Kβ could not distinguish among SAPI4,5P2, 1,2-dipalmitoyl-PI4,5P2, and 1,2-dioleoyl-PI4,5P2 beyond the experimental error range. These results indicate that PI3Kβ does not have the pronounced specificity for SAPI4,5P2 and would act on various PI4,5P2 with different acyl chains.

PI3K inhibition assay

PI3K is one of the most frequently mutated proteins in cancer and has thus been an attractive cancer drug target (16). Having established the conditions for the rapid plate reader-based PI3K assay, we tested to determine whether the assay could be used to screen molecules for PI3K-modulating activity. As a proof of principle, we measured the inhibitory activity of three well-characterized PI3K inhibitors, GDC-0941, LY294002, and wortmannin. GDC-0941 is a potent class I-selective PI3K inhibitor targeting their ATP-binding pocket with a reported IC50 of 33 nM for PI3Kβ (31). LY294002 is a nonselective inhibitor of PI3K with a reported IC50 of 1.4 μM (32), whereas wortmannin is an irreversible inhibitor of PI3K with the reported IC50 value of 1.9 nM (33). Increasing concentrations (0–500 nM) of each of these molecules was added to each row of a 96-well plate and incubated with a fixed concentration (i.e., 10 nM) of PI3Kβ for 10 min. After addition of lipid vesicles [POPC/POPS/PI4,5P2 (77:20:3)], the PI4,5P2 sensor, ATP, and pY2 to the mixture, the reaction was monitored for 3 min and the Vo was calculated. As shown in Fig. 4, the analysis of the plot of Vo versus inhibitor concentration gave IC50 values of 12 ± 2 nM, 5.2 ± 0.5 μM, and, 4.2 ± 0.9 nM for GDC-0941, LY294002, and wortmannin, respectively. Importantly, when the enzyme activity was rapidly estimated by a single time point fluorescence measurement after 1 min (or 2 min) of incubation instead of continuous monitoring and Vo determination, essentially the same IC50 values were obtained (data not shown). These values compare well with reported IC50 values for these compounds taking into account that the conditions for the inhibition assays, including the preparation and the concentration of PI3K isoforms, the composition, the physical state, and the concentration of the lipid substrate, and the assay method, vary widely among ours and other reports (3133). These results thus demonstrate the feasibility of high-throughput screening for PI3K inhibitors.

Fig. 4.

Fig. 4.

Determination of inhibitory activity of GDC-0941 (open triangles), LY294002 (open circles), and wortmannin (open squares). Increasing concentrations (0–500 nM) of each of these molecules were added to each row of a 96-well plate containing 10 nM of PI3Kβ, 50 μM of POPC/POPS/PI4,5P2 (77:20:3) LUVs, and 500 nM DAN-eENTH, and the mixture was incubated for 10 min at room temperature. After the reaction was initiated by adding 10 μM pY2 peptide and 100 μM ATP, F470/F530 was monitored for 3 min and converted into PI4,5P2 concentrations, from which Vo was calculated. The data represent the mean ± SD from triplicate measurements.

PTEN activity assay

A PTEN-catalyzed reaction was followed by monitoring the time-dependent decrease of PIP3 or the time-dependent increase of PI4,5P2. The assay condition for PTEN was simpler than that for PI3K because PTEN is not known to require cofactors for activity as long as the reaction medium is kept under reducing conditions (9). Addition of recombinant PTEN to the mixture of POPC/POPS/PIP3 (77:20:3) LUVs and DAN-eMyoX-tPH resulted in a rapid decrease in F470/F530 (data not shown), which was converted to a kinetic curve of PIP3 disappearance (Fig. 5A). The use of PI4,5P2 sensor (DAN-eENTH) in place of the PIP3 sensor yielded the kinetic curve of PI4,5P2 formation (Fig. 5B). As was the case with the PI3K activity assay, Vo was linearly proportional to Eo in the range of 0–40 nM when [PIP3]o was kept at 50 μM (data not shown). Unlike the case with PI3K, however, the PTEN-catalyzed reaction reached near full conversion of PIP3 to PI4,5P2 and did not exhibit product inhibition as witnessed by the uninhibited activity of PTEN added after the significant accumulation of PI4,5P2 (Fig. 5C). Also, Vo showed hyperbolic dependence on [PIP3]o in the range of 0–50 μM with Eo = 10 nM (Fig. 5D). The nonlinear least-squares analysis of the Vo versus [PIP3]o plot using the Michaelis-Menten equation yielded kcat (= 150 ± 20 s−1) and Km (82 ± 10 μM) values.

Fig. 5.

Fig. 5.

Kinetics of PTEN reactions. A: Kinetics of PTEN-catalyzed PIP3 dephosphorylation. DAN-eMyoX-tPH (500 nM) was incubated with 50 μM POPC/POPS/PIP3 (77/20/3) LUVs for 1 min, and then 10 nM PTEN were added (arrow) to initiate the reaction. The time course of F470/F530 was then converted into the total PIP3 concentration. B: Kinetics of PTEN-catalyzed PI4,5P2 formation. The same as in A except that DAN-eENTH was employed in place of DAN-eMyoX-tPH. C: PTEN activity monitored by DAN-eENTH with multiple addition of PTEN. The final concentration of PTEN after three equimolar additions was 90 nM. The arrows indicate the time points of enzyme addition. D: The kinetics of PIP3 dephosphorylation as a function of the increasing PIP3 concentration. DAN-eENTH (500 nM) was incubated with 0–50 μM POPC/POPS/PIP3 (77/20/3) LUVs for 1 min, and then 10 nM PTEN were added to initiate the reaction. The plot was analyzed by non-linear least-squares fit using the equation: Vo = kcat Eo/(1 + Km/So). E: Relative activity of PTEN for PIP3 and PI3,4P2. DAN-eMyoX-tPH (500 nM) and NR3-eTapp2-cPH (500 nM) were mixed with 50 μM POPC/POPS/PIP3 (77/20/3) and 50 μM POPC/POPS/PI3,4P2 (77/20/3) LUVs for 1 min, and then 10 nM PTEN were added to the mixture to initiate the reaction. F470/F530 and F600/F675 were monitored to simultaneously track the dephosphorylation of PIP3 and PI3,4P2, respectively. PTEN activity against POPC/POPS/PI4,5P2 (77:20:3) LUVs was separately measured using DAN-eENTH. The data in A–C and E are representative sets from quadruple independent measurements (n = 4). The data in D represent the mean ± SD from triplicate measurements.

PIP3 generated by PI3K is subsequently converted to PI3,4P2 by lipid phosphatases, including SHIP (25) and INPP5 (10), and PI3,4P2 plays unique signaling roles (34, 35). It has been reported that PTEN regulates PI3,4P2 signaling by converting it to phosphatidylinositol-4-phosphate (21). To investigate the enzymatic basis of this finding, we rigorously determined the relative activity of PTEN toward PIP3 and PI3,4P2 by simultaneously measuring the PIP3 and PI3,4P2 dephosphorylation. To this end, we employed a well-established PI3,4P2 sensor, NR3-eTapp2-cPH (25), which is spectrally orthogonal to the DAN-eMyoX-tPH (see Fig. 1C, F), thereby enabling direct simultaneous monitoring of PIP3 and PI3,4P2 dephosphorylation. As a negative control, we separately checked the activity of PTEN against POPC/POPS/PI4,5P2 (77:20:3) LUVs (Fig. 5E). Addition of PTEN to the mixture containing POPC/POPS/PIP3 (77:20:3) LUVs, POPC/POPS/PI3,4P2 (77:20:3) LUVs, DAN-eMyoX-tPH, and NR3-eTapp2-cPH resulted in a rapid decrease in F470/F530 (data not shown), which was converted to a kinetic curve of PIP3 disappearance (Fig. 5E); however, the decrease in F600/F675, which reflects the dephosphorylation of PI3,4P2, was only slightly above the negative control under the same conditions (Fig. 5E). These results show that PTEN has much lower intrinsic enzymatic activity toward PI3,4P2 than toward PIP3 and suggest that the reported activity of PTEN to regulate PI3,4P2 signaling might not derive from its catalytic action on PI3,4P2. It should be noted that our study was performed with the bacterially expressed PTEN and that one cannot preclude the possibility that posttranslational modification in mammalian cells might confer enhanced activity for PI3,4P2 on PTEN.

CONCLUSIONS

We have developed a new fluorescence-based real-time assay for PI3K and PTEN. The main advantages of this direct quantitative assay are high sensitivity, accuracy, speed, and a high degree of flexibility in assay design. Although the present study was confined to a single form of PI3K and PTEN, respectively, the assay is universally applicable to the kinetic analysis of any lipid kinase and phosphatase, as long as a sensor specific for its lipid substrate or product can be prepared. Our straightforward kinetic analysis of PI3K and PTEN produced the new mechanistic information about these enzymes, and our pilot study demonstrates feasibility for high-throughput screening of small molecules for their PI3K-modulating activity. The new method will facilitate further mechanistic studies on other lipid kinases and phosphatases as well as rapid screening and testing of small molecule modulators of pharmacologically important lipid kinases and phosphatases.

Data availability

All data are contained within the article. The raw data will be shared upon request: contact Wonhwa Cho (University of Illinois at Chicago, e-mail: wcho@uic.edu).

Acknowledgments

The authors thank Dr. Roger L. Williams for his generous gift of PI3Kβ expression vectors.

Footnotes

Abbreviations:

eENTH
engineered epsin1 ENTH domain
Eo
initial enzyme concentration
LUV
large unilamellar vesicle
PDGF
platelet-derived growth factor
PH
pleckstrin homology
PI3K
class I phosphoinositide 3-kinase
PI3, 4P2
phosphatidylinositol-3,4-bisphosphate
PI4, 5P2
phosphatidylinositol-4,5-bisphosphate
PIP3
phosphatidylinositol-3,4,5-trisphosphate
PM
plasma membrane
POPS
1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoserine
PTEN
phosphatase and tensin homolog
pY2
ESDGGpYMDMSKDESIDpYVPMLDMKGDIKYA
SAPI4, 5P2
1-stearoyl-2-arachidonoyl derivative of phosphatidylinositol-4,5-bisphosphate
So
initial substrate concentration
TCEP
tris(2-carboxyethyl) phosphine
Vo
initial rate

This work was supported by National Institutes of Health Grant R35GM122530. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors declare that they have no conflicts of interest with the contents of this article.

REFERENCES

  • 1.Cho W., and Stahelin R. V.. 2005. Membrane-protein interactions in cell signaling and membrane trafficking. Annu. Rev. Biophys. Biomol. Struct. 34: 119–151. [DOI] [PubMed] [Google Scholar]
  • 2.Cho W. 2006. Building signaling complexes at the membrane. Sci. STKE. 2006: pe7. [DOI] [PubMed] [Google Scholar]
  • 3.van Meer G., Voelker D. R., and Feigenson G. W.. 2008. Membrane lipids: where they are and how they behave. Nat. Rev. Mol. Cell Biol. 9: 112–124. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Balla T. 2013. Phosphoinositides: tiny lipids with giant impact on cell regulation. Physiol. Rev. 93: 1019–1137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Schink K. O., Tan K. W., and Stenmark H.. 2016. Phosphoinositides in control of membrane dynamics. Annu. Rev. Cell Dev. Biol. 32: 143–171. [DOI] [PubMed] [Google Scholar]
  • 6.Burke J. E. 2018. Structural basis for regulation of phosphoinositide kinases and their involvement in human disease. Mol. Cell. 71: 653–673. [DOI] [PubMed] [Google Scholar]
  • 7.Sasaki T., Takasuga S., Sasaki J., Kofuji S., Eguchi S., Yamazaki M., and Suzuki A.. 2009. Mammalian phosphoinositide kinases and phosphatases. Prog. Lipid Res. 48: 307–343. [DOI] [PubMed] [Google Scholar]
  • 8.Ciraolo E., Gulluni F., and Hirsch E.. 2014. Methods to measure the enzymatic activity of PI3Ks. Methods Enzymol. 543: 115–140. [DOI] [PubMed] [Google Scholar]
  • 9.Spinelli L., and Leslie N. R.. 2015. Assaying PTEN catalysis in vitro. Methods. 77–78: 51–57. [DOI] [PubMed] [Google Scholar]
  • 10.Vanhaesebroeck B., Stephens L., and Hawkins P.. 2012. PI3K signalling: the path to discovery and understanding. Nat. Rev. Mol. Cell Biol. 13: 195–203. [DOI] [PubMed] [Google Scholar]
  • 11.Cantley L. C. 2002. The phosphoinositide 3-kinase pathway. Science. 296: 1655–1657. [DOI] [PubMed] [Google Scholar]
  • 12.DiNitto J. P., and Lambright D. G.. 2006. Membrane and juxtamembrane targeting by PH and PTB domains. Biochim. Biophys. Acta. 1761: 850–867. [DOI] [PubMed] [Google Scholar]
  • 13.Thorpe L. M., Yuzugullu H., and Zhao J. J.. 2015. PI3K in cancer: divergent roles of isoforms, modes of activation and therapeutic targeting. Nat. Rev. Cancer. 15: 7–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Fruman D. A., and Rommel C.. 2014. PI3K and cancer: lessons, challenges and opportunities. Nat. Rev. Drug Discov. 13: 140–156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hawkins P. T., and Stephens L. R.. 2015. PI3K signalling in inflammation. Biochim. Biophys. Acta. 1851: 882–897. [DOI] [PubMed] [Google Scholar]
  • 16.Mayer I. A., and Arteaga C. L.. 2016. The PI3K/AKT pathway as a target for cancer treatment. Annu. Rev. Med. 67: 11–28. [DOI] [PubMed] [Google Scholar]
  • 17.Song M. S., Salmena L., and Pandolfi P. P.. 2012. The functions and regulation of the PTEN tumour suppressor. Nat. Rev. Mol. Cell Biol. 13: 283–296. [DOI] [PubMed] [Google Scholar]
  • 18.Worby C. A., and Dixon J. E.. 2014. PTEN. Annu. Rev. Biochem. 83: 641–669. [DOI] [PubMed] [Google Scholar]
  • 19.Bassi C., Ho J., Srikumar T., Dowling R. J., Gorrini C., Miller S. J., Mak T. W., Neel B. G., Raught B., and Stambolic V.. 2013. Nuclear PTEN controls DNA repair and sensitivity to genotoxic stress. Science. 341: 395–399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Hopkins B. D., Fine B., Steinbach N., Dendy M., Rapp Z., Shaw J., Pappas K., Yu J. S., Hodakoski C., Mense S., et al. 2013. A secreted PTEN phosphatase that enters cells to alter signaling and survival. Science. 341: 399–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Malek M., Kielkowska A., Chessa T., Anderson K. E., Barneda D., Pir P., Nakanishi H., Eguchi S., Koizumi A., Sasaki J., et al. 2017. PTEN regulates PI(3,4)P2 signaling downstream of class I PI3K. Mol. Cell. 68: 566–580.e10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Zhang X., Vadas O., Perisic O., Anderson K. E., Clark J., Hawkins P. T., Stephens L. R., and Williams R. L.. 2011. Structure of lipid kinase p110beta/p85beta elucidates an unusual SH2-domain-mediated inhibitory mechanism. Mol. Cell. 41: 567–578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Yoon Y., Lee P. J., Kurilova S., and Cho W.. 2011. In situ quantitative imaging of cellular lipids using molecular sensors. Nat. Chem. 3: 868–874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Liu S. L., Sheng R., O’Connor M. J., Cui Y., Yoon Y., Kurilova S., Lee D., and Cho W.. 2014. Simultaneous in situ quantification of two cellular lipid pools using orthogonal fluorescent sensors. Angew. Chem. Int. Ed. Engl. 53: 14387–14391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Liu S. L., Wang Z. G., Hu Y., Xin Y., Singaram I., Gorai S., Zhou X., Shim Y., Min J. H., Gong L. W., et al. 2018. Quantitative lipid imaging reveals a new signaling function of phosphatidylinositol-3,4-bisphosphate: isoform- and site-specific activation of Akt. Mol. Cell. 71: 1092–1104.e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Liu S. L., Sheng R., Jung J. H., Wang L., Stec E., O’Connor M. J., Song S., Bikkavilli R. K., Winn R. A., Lee D., et al. 2017. Orthogonal lipid sensors identify transbilayer asymmetry of plasma membrane cholesterol. Nat. Chem. Biol. 13: 268–274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Cho W., Yoon Y., Liu S. L., Baek K., and Sheng R.. 2017. Fluorescence-based in situ quantitative imaging for cellular lipids. Methods Enzymol. 583: 19–33. [DOI] [PubMed] [Google Scholar]
  • 28.Wu S. K., and Cho W.. 1993. Use of polymerized mixed liposomes to study interactions of phospholipase A2 with membranes. Biochemistry. 32: 13902–13908. [DOI] [PubMed] [Google Scholar]
  • 29.Berg O. G., Gelb M. H., Tsai M. D., and Jain M. K.. 2001. Interfacial enzymology: the secreted phospholipase A(2)-paradigm. Chem. Rev. 101: 2613–2654. [DOI] [PubMed] [Google Scholar]
  • 30.Harayama T., and Riezman H.. 2018. Understanding the diversity of membrane lipid composition. Nat. Rev. Mol. Cell Biol. 19: 281–296. [DOI] [PubMed] [Google Scholar]
  • 31.Folkes A. J., Ahmadi K., Alderton W. K., Alix S., Baker S. J., Box G., Chuckowree I. S., Clarke P. A., Depledge P., Eccles S. A., et al. 2008. The identification of 2-(1H-indazol-4-yl)-6-(4-methanesulfonyl-piperazin-1-ylmethyl)-4-morpholin-4-yl-t hieno[3,2-d]pyrimidine (GDC-0941) as a potent, selective, orally bioavailable inhibitor of class I PI3 kinase for the treatment of cancer. J. Med. Chem. 51: 5522–5532. [DOI] [PubMed] [Google Scholar]
  • 32.Vlahos C. J., Matter W. F., Hui K. Y., and Brown R. F.. 1994. A specific inhibitor of phosphatidylinositol 3-kinase, 2-(4-morpholinyl)-8-phenyl-4H-1-benzopyran-4-one (LY294002). J. Biol. Chem. 269: 5241–5248. [PubMed] [Google Scholar]
  • 33.Arcaro A., and Wymann M. P.. 1993. Wortmannin is a potent phosphatidylinositol 3-kinase inhibitor: the role of phosphatidylinositol 3,4,5-trisphosphate in neutrophil responses. Biochem. J. 296: 297–301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Li H., and Marshall A. J.. 2015. Phosphatidylinositol (3,4) bisphosphate-specific phosphatases and effector proteins: A distinct branch of PI3K signaling. Cell. Signal. 27: 1789–1798. [DOI] [PubMed] [Google Scholar]
  • 35.Hawkins P. T., and Stephens L. R.. 2016. Emerging evidence of signalling roles for PI(3,4)P2 in class I and II PI3K-regulated pathways. Biochem. Soc. Trans. 44: 307–314. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data are contained within the article. The raw data will be shared upon request: contact Wonhwa Cho (University of Illinois at Chicago, e-mail: wcho@uic.edu).


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