Timothy W Bumpus1, Jeremy M Baskin1. 1. Department of Chemistry and Chemical Biology and Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York 14853, United States.
Abstract
Chemical imaging techniques have played instrumental roles in dissecting the spatiotemporal regulation of signal transduction pathways. Phospholipase D (PLD) enzymes affect cell signaling by producing the pleiotropic lipid second messenger phosphatidic acid via hydrolysis of phosphatidylcholine. It remains a mystery how this one lipid signal can cause such diverse physiological and pathological signaling outcomes, due in large part to a lack of suitable tools for visualizing the spatial and temporal dynamics of its production within cells. Here, we report a chemical method for imaging phosphatidic acid synthesis by PLD enzymes in live cells. Our approach capitalizes upon the enzymatic promiscuity of PLDs, which we show can accept azidoalcohols as reporters in a transphosphatidylation reaction. The resultant azidolipids are then fluorescently tagged using the strain-promoted azide-alkyne cycloaddition, enabling visualization of cellular membranes bearing active PLD enzymes. Our method, termed IMPACT (Imaging Phospholipase D Activity with Clickable Alcohols via Transphosphatidylation), reveals pools of basal and stimulated PLD activities in expected and unexpected locations. As well, we reveal a striking heterogeneity in PLD activities at both the cellular and subcellular levels. Collectively, our studies highlight the importance of using chemical tools to directly visualize, with high spatial and temporal resolution, the subset of signaling enzymes that are active.
Chemical imaging techniques have played instrumental roles in dissecting the spatiotemporal regulation of signal transduction pathways. Phospholipase D (PLD) enzymes affect cell signaling by producing the pleiotropic lipid second messenger phosphatidic acid via hydrolysis of phosphatidylcholine. It remains a mystery how this one lipid signal can cause such diverse physiological and pathological signaling outcomes, due in large part to a lack of suitable tools for visualizing the spatial and temporal dynamics of its production within cells. Here, we report a chemical method for imaging phosphatidic acid synthesis by PLD enzymes in live cells. Our approach capitalizes upon the enzymatic promiscuity of PLDs, which we show can accept azidoalcohols as reporters in a transphosphatidylation reaction. The resultant azidolipids are then fluorescently tagged using the strain-promoted azide-alkyne cycloaddition, enabling visualization of cellular membranes bearing active PLD enzymes. Our method, termed IMPACT (Imaging Phospholipase D Activity with Clickable Alcohols via Transphosphatidylation), reveals pools of basal and stimulated PLD activities in expected and unexpected locations. As well, we reveal a striking heterogeneity in PLD activities at both the cellular and subcellular levels. Collectively, our studies highlight the importance of using chemical tools to directly visualize, with high spatial and temporal resolution, the subset of signaling enzymes that are active.
Signal transduction pathways
allow cells to translate biochemical cues from the extracellular environment
into changes in metabolism, gene expression, and behavior. Second
messengers are key signaling intermediates in these pathways whose
downstream effects depend greatly on cell type, physiological state,
and, importantly, the intracellular location of their production.
Because the spatial regulation of signaling is so critical for ensuring
desired physiological outcomes, imaging-based tools have become indispensable
for studying the dynamics of signaling events within live cells.Phospholipase D (PLD) enzymes impact intracellular signaling by
synthesizing the pleiotropic lipid second messenger phosphatidic acid
(PA).[1] PLD-mediated synthesis of PA leads
to diverse physiological changes,[2] including
modifications to membrane curvature, vesicle trafficking, and the
actin cytoskeleton as well as activation of protein kinases.[3] These changes ultimately cause modulations in
cell growth, division, migration, and other behaviors.[4] To achieve such a diverse set of physiological outcomes
from a sole signaling agent, cells use multiple upstream signals to
selectively activate different PLD isozymes at specific locations
to control PA production spatiotemporally.[5]Several strategies exist to image PLD signaling, each with
its
strengths and drawbacks.[6] Fluorescent protein
fusions have revealed dynamic localizations of PLD1 and PLD2, the
two isozymes responsible for PA generation via hydrolysis of phosphatidylcholine
(PC).[7−10] It is now well appreciated, however, that the localization of total
enzyme pools often does not correlate well with the subpopulations
that are active.[11,12] Conversely, there exist several
genetically encoded probes to directly visualize PA, consisting of
positively charged, PA-binding peptides fused to fluorescent proteins;
however, they cannot distinguish between different biosynthetic pools
of PA originating from PLDs, diacylglycerol kinases, or lysophosphatidic
acid acyltransferases.[6,13] Furthermore, these probes can
perturb signaling by masking the target lipid, and their binding often
depends on additional ligands or membrane bilayer properties, leading
to biased localizations.We set out to develop a universal,
unbiased imaging strategy to
identify and track discrete pools of PLD-generated PA within live
cells. We focused our efforts on PA generated by PLD for several reasons.
First, PLDs are upregulated in several pathological scenarios, including
cancer, neurodegeneration, autoimmunity, and infectious disease.[10,14,15] As well, PLD1 has low basal but
highly inducible activity and a localization that has been reported
to change upon activation,[7,16] suggesting differences
between total and active pools of enzyme that may have major implications
for signaling.Using fluorescent protein fusions, localizations
of PLD1 and PLD2
have been reported in the membranes of several organelles, most prominently
the Golgi apparatus, endosomes, lysosomes, and the plasma membrane.
Surprisingly, we reveal here, using a chemical imaging technique that
can directly monitor PLD activity, that the bulk of endogenous PLD
activity, both basal and stimulated, appears to occur at the endoplasmic
reticulum (ER) and Golgi apparatus, as well as small but distinct
endosomal and lysosomal pools. These results have important implications
for understanding cellular control of PLD signaling. Furthermore,
they highlight the importance of using approaches to visualize active
populations of signaling enzymes rather than total pools of enzyme
or signaling agents for dissecting metabolic and signaling pathways.To image the dynamics of PLD-dependent PA synthesis, we capitalized
on the ability of PLD enzymes, which normally hydrolyze PC to generate
PA, to accept small primary alcohols in a transphosphatidylation reaction
to produce phosphatidyl alcohols.[1,17] Transphosphatidylation
with ethanol or 1-butanol has been widely used to assay PLD activity
in vitro by thin-layer chromatography or mass spectrometry.[17,18] High concentrations of alcohols can be used (1%, or approximately
150 mM), to block the PLD-mediated production of PA, and lower concentrations
may be used as tracers that do not substantially perturb rates of
PA synthesis. However, these methods do not reveal the subcellular
localization of where the PA is being generated. Antibodies to image
phosphatidyl ethanol exist but have not been widely employed, perhaps
due to issues of sensitivity and specificity. We recently reported
that PLDs can accept alkynols as substrates, with detection of PLD
activity enabled at much lower alcohol concentrations due to subsequent
probe tagging using the copper-catalyzed azide–alkyne cycloaddition
(CuAAC).[19] While this approach could be
used to image cellular PLD activity, due to the toxicity of copper,
alkynols are not suitable PLD probes to follow the dynamics of PLD
activity and signaling within live cells.Here we present a
chemical method termed IMPACT (Imaging Phospholipase D Activity with Clickable Alcohols via Transphosphatidylation) to image
pools of PA produced by PLD. Our two-step strategy involves stimulation
of endogenous PLD activity in the presence of an azidoalcohol to generate
phosphatidyl azidoalcohols, followed by tagging using copper-free
click chemistry to append imaging or other detection probes (Figure A). Importantly,
our approach does not significantly perturb endogenous PA levels,
and the cytocompatibility of copper-free click chemistry enabled the
imaging of the subcellular locations of PLD activity within live cells,
revealing unexpected localizations for PLD-mediated production of
PA.
Figure 1
Azidoalcohols can be used as reporters of PMA-stimulated, endogenous
PLD activity in HeLa cells. (A) Schematic of method to monitor PLD
activity using azidoalcohols and click chemistry. (B, C) Azidoalcohols
can report on PLD activity in mammalian cells. HeLa cells were first
treated with DMSO (solid lines) or a PLD inhibitor (B, FIPI (750 nM,
dashed lines); C, VU0359595 (250 nM, dashed lines) or VU0364739 (350
nM, dotted lines)) for 30 min, then with the indicated azidoalcohol
(1 mM) or vehicle (B, dotted lines) for 20 min, and then stimulated
with PMA (100 nM) for 20 min, followed by lipid extraction, SPAAC
tagging with BODIPY-cyclooctyne 1, and analysis by fluorescence-coupled
HPLC. (D–F) AzProp faithfully reports on PLD-mediated PA synthesis
and does not inhibit its production. (D, E) HeLa cells were labeled
with AzProp (1 mM) for 20 min (D and E, white lines) or no alcohol
(E, black lines) and then stimulated with PMA (100 nM) for 20 min,
followed by lipid extraction, CuAAC labeling with alkynyl ammonium
salt 2a, and analysis by LC/ESI-TOF MS. Shown are relative
amounts of the individual phosphatidyl alcohol (D) or endogenous phosphatidic
acid (E) species, indicated as number of carbons:degree of unsaturation
in lipid tails. (F) HeLa cells were first treated with FIPI (PLDi, 750 nM) or DMSO vehicle for 30 min, then with AzProp (1
mM), butanol (1% w/v), or no alcohol for 20 min, and then stimulated
with PMA (100 nM) for 20 min, followed by lipid extraction, CuAAC
labeling with 2a and analysis by LC/ESI-TOF MS. Shown
are the relative total amounts of all phosphatidic acid species detected.
*, p < 0.01; ns, not significant. For D–F, n = 3 (3 technical replicates each of 3 independent biological
experiments), and the horizontal bar represents the mean.
Azidoalcohols can be used as reporters of PMA-stimulated, endogenous
PLD activity in HeLa cells. (A) Schematic of method to monitor PLD
activity using azidoalcohols and click chemistry. (B, C) Azidoalcohols
can report on PLD activity in mammalian cells. HeLa cells were first
treated with DMSO (solid lines) or a PLD inhibitor (B, FIPI (750 nM,
dashed lines); C, VU0359595 (250 nM, dashed lines) or VU0364739 (350
nM, dotted lines)) for 30 min, then with the indicated azidoalcohol
(1 mM) or vehicle (B, dotted lines) for 20 min, and then stimulated
with PMA (100 nM) for 20 min, followed by lipid extraction, SPAAC
tagging with BODIPY-cyclooctyne 1, and analysis by fluorescence-coupled
HPLC. (D–F) AzProp faithfully reports on PLD-mediated PA synthesis
and does not inhibit its production. (D, E) HeLa cells were labeled
with AzProp (1 mM) for 20 min (D and E, white lines) or no alcohol
(E, black lines) and then stimulated with PMA (100 nM) for 20 min,
followed by lipid extraction, CuAAC labeling with alkynyl ammonium
salt 2a, and analysis by LC/ESI-TOF MS. Shown are relative
amounts of the individual phosphatidyl alcohol (D) or endogenous phosphatidic
acid (E) species, indicated as number of carbons:degree of unsaturation
in lipid tails. (F) HeLa cells were first treated with FIPI (PLDi, 750 nM) or DMSO vehicle for 30 min, then with AzProp (1
mM), butanol (1% w/v), or no alcohol for 20 min, and then stimulated
with PMA (100 nM) for 20 min, followed by lipid extraction, CuAAC
labeling with 2a and analysis by LC/ESI-TOF MS. Shown
are the relative total amounts of all phosphatidic acid species detected.
*, p < 0.01; ns, not significant. For D–F, n = 3 (3 technical replicates each of 3 independent biological
experiments), and the horizontal bar represents the mean.We began by treating HeLa cells with a panel of
azidoalcohols (2-azidoethanol
(AzEt), 3-azido-1-propanol (AzProp), 4-azido-1-butanol (AzBut), and
5-azido-1-pentanol (AzPent)) and stimulating endogenous PLD activity
using phorbol 12-myristate 13-acetate (PMA). Following lipid extraction
and tagging by strain-promoted azide–alkyne cycloaddition (SPAAC)
with BODIPY-cyclooctyne 1,[20] HPLC analysis revealed the presence of fluorescent lipid species
for all azidoalcohols tested (Figures B and S1). Importantly,
treatment of cells during the labeling procedure with the pan-PLD
inhibitor 5-fluoro-2-indolyl deschlorohalopemide (FIPI, or PLDi)[21] led to complete loss of the
fluorescent lipid species (Figure B), confirming that the fluorescently labeled lipids
were derived exclusively from PLD activity. We then used isoform-selective
PLD inhibitors to assess the relative contributions of PLD1 and PLD2.
Treatment with isoform-selective PLD1 (VU0359595)[22] or PLD2 (VU0364739)[23] inhibitors
led to decreases in approximately 75% and 25%, respectively, of the
signal (Figure C).
These data demonstrate that our method can report on both PLD1 and
PLD2 activity and is consistent with the majority of PMA-stimulated
PLD activity deriving from the PLD1 isozyme.[24] In terms of efficacy, AzProp, AzBut, and AzPent all performed roughly
equivalently, while AzEt was a poorer PLD substrate (Figure B). Given its commercial availability
and synthetic tractability, as well as its superior performance in
imaging experiments (vide infra), we elected to focus our efforts
on AzProp.We then turned to liquid chromatography–mass
spectrometry
(LCMS) based lipidomics analysis to unequivocally confirm the identity
of the labeled lipids as phosphatidyl azidoalcohols. We were initially
unable to detect either the underivatized or BODIPY-labeled phosphatidyl
azidoalcohols from HeLa cell extracts, presumably due to a combination
of poor ionization under electrospray conditions and, for the former,
an overlap with the mass range of abundant cellular phospholipids.
To overcome these issues, we tested a panel of clickable derivatization
tags to enhance LCMS detection following electrospray ionization.We first synthesized a phosphatidyl azidoalcohol lipid standard,
phosphatidyl azidopropanol, via an in vitro chemoenzymatic reaction
between 1,2-dioleoyl-sn-glycero-3-phosphocholine
(DOPC) and AzProp catalyzed by a commercially available PLD. We then
subjected this azidolipid standard to copper-catalyzed azide–alkyne
cycloaddition (CuAAC) labeling with a variety of alkynes bearing charged,
polar, and nonpolar functional groups, followed by electrospray ionization
time-of-flight (ESI-TOF) analysis (Figure S2A). We found that reagent 2a, which endowed the azidolipid
with a quaternary ammonium group, a known enhancer of signal in ESI-MS,[25] performed optimally (Figure S2B and Table S1).LCMS analysis of lipidomes from cells
treated with AzProp and stimulated
with PMA, followed by CuAAC labeling with 2a, revealed
labeling of several phosphatidyl alcohols differing in lipid tail
length and degree of unsaturation. Importantly, the relative abundances
of the different phosphatidyl alcohol species mirrored those of the
natural PA species in the cell and, as expected for PLD-derived PA,[18,26] were enriched in lipids with shorter lipid tail lengths and lower
levels of unsaturation (Figure D and Table S2). As well, the lower
alcohol concentrations enabled by our two-step labeling procedure
resulted in no diminishment in the levels of natural PA species in
the cell, confirming that our approach does not perturb endogenous
PLD signaling (Figures E,F and Table S3).Having established
that azidoalcohols such as AzProp could effectively
serve as faithful and nonperturbative reporters of endogenous PLD
activity, we set out to image the localization of PLD-dependent PA
synthesis in live cells. We first incubated cells with various azidoalcohols
and stimulated PLD activity with PMA. Subsequently, we labeled cells
for 10 min with 1, a cell-permeable, cyclooctyne–fluorophore
conjugate that exhibits minimal nonspecific binding to cellular membranes.[20] Following a brief rinse-out, we imaged the cells
by confocal microscopy, observing strong fluorescence labeling of
several intracellular compartments (Figures A and S3). Control
experiments using FIPI, VU0359595, and VU0364739 again confirmed that
the bulk of the labeling under PMA stimulation can be ascribed to
PLD1 activity (Figures A,B). Among the azidoalcohols, the signal-to-background was highest
for AzProp and AzEt, possibly because excess alcohol was more easily
rinsed out of cells for these more hydrophilic alcohols (Figure S3). Among these two, we elected to proceed
with AzProp due to its higher level of labeling in imaging and HPLC
experiments (Figures S3 and 1B).
Figure 2
Live-cell imaging of PMA-stimulated PLD activity reveals pools
of active enzyme on ER, Golgi, lysosomal, and endosomal membranes.
(A, B) HeLa cells were first treated with the indicated PLD inhibitor
(PLDi (FIPI), 750 nM; PLD1i (VU0359595), 250
nM; PLD2i (VU0364739), 350 nM) or DMSO vehicle for 30 min,
followed by AzProp (1 mM) for 20 min, and then stimulated with PMA
(100 nM) for 20 min. Cells were then incubated with 1 (1 μM) for 10 min, rinsed for 15 min, and imaged by confocal
microscopy. Arrowheads denote AzProp-positive puncta. (C–F)
HeLa cells were transfected with the indicated plasmids (ER, STIM1-mRFP;
Golgi, mCherry-P4M; Lysosomes (Lyso), LAMP1-mRFP; Endosomes (Endo),
Rab5-mRFP; PLD1, mCherry-PLD1) and then labeled as in panel A with
AzProp, PMA, and 1. Shown are single z-slices, with zoomed-in regions indicated by dashed outline shown
in the upper right corner. For entire z-stack, see Movies S1 and S2.
For D–F, frames from time-lapse movies of representative zoomed-in
regions (indicated by dashed outline) are shown. Solid arrowheads
denote LAMP1/Rab5/PLD1 puncta that colocalize with the AzProp label,
and hollow arrowheads denote LAMP1/Rab5/PLD1 puncta that do not contain
the AzProp label. In merged images, colocalization appears white.
For C–F, colocalization is demonstrated by intensity plots
along a one-dimensional profile corresponding to the dashed line in
the merged image. Pearson correlation coefficients (R2) are provided to aid in interpreting colocalization
of the two markers. Scale bars: 10 μm for all except 1 μm
for zoomed-in regions in C, time-lapse images in D–F, and one-dimensional
profiles in C–F.
Live-cell imaging of PMA-stimulated PLD activity reveals pools
of active enzyme on ER, Golgi, lysosomal, and endosomal membranes.
(A, B) HeLa cells were first treated with the indicated PLD inhibitor
(PLDi (FIPI), 750 nM; PLD1i (VU0359595), 250
nM; PLD2i (VU0364739), 350 nM) or DMSO vehicle for 30 min,
followed by AzProp (1 mM) for 20 min, and then stimulated with PMA
(100 nM) for 20 min. Cells were then incubated with 1 (1 μM) for 10 min, rinsed for 15 min, and imaged by confocal
microscopy. Arrowheads denote AzProp-positive puncta. (C–F)
HeLa cells were transfected with the indicated plasmids (ER, STIM1-mRFP;
Golgi, mCherry-P4M; Lysosomes (Lyso), LAMP1-mRFP; Endosomes (Endo),
Rab5-mRFP; PLD1, mCherry-PLD1) and then labeled as in panel A with
AzProp, PMA, and 1. Shown are single z-slices, with zoomed-in regions indicated by dashed outline shown
in the upper right corner. For entire z-stack, see Movies S1 and S2.
For D–F, frames from time-lapse movies of representative zoomed-in
regions (indicated by dashed outline) are shown. Solid arrowheads
denote LAMP1/Rab5/PLD1 puncta that colocalize with the AzProp label,
and hollow arrowheads denote LAMP1/Rab5/PLD1 puncta that do not contain
the AzProp label. In merged images, colocalization appears white.
For C–F, colocalization is demonstrated by intensity plots
along a one-dimensional profile corresponding to the dashed line in
the merged image. Pearson correlation coefficients (R2) are provided to aid in interpreting colocalization
of the two markers. Scale bars: 10 μm for all except 1 μm
for zoomed-in regions in C, time-lapse images in D–F, and one-dimensional
profiles in C–F.Because there is a delay between PLD-mediated phosphatidyl
azidoalcohol
production and imaging following the click chemistry step, we performed
additional control experiments to verify that the observed labeling
pattern is reflective of PLD activity and not of phosphatidyl alcohol
redistribution between different organelle membranes. To address potential
diffusion or trafficking during the SPAAC reaction, we altered the
labeling procedure by fixation immediately after the PMA stimulation,
followed by CuAAC tagging with an alkyne–rhodamine 110 conjugate
(Figure S4A). Second, to test for redistribution
during the PMA stimulation, we shortened the PMA stimulation time
from 20 to 5 min, using both the live-cell SPAAC and fixed-cell CuAAC
detection protocols (Figure S4B). In both
cases, the overall labeling pattern was largely similar to that in Figure A, suggesting that
there is no observable change in localization due to the SPAAC labeling
step.To determine the subcellular localization of the fluorescent
phosphatidyl
alcohols, we performed colocalization experiments of IMPACT-derived
fluorescence with various organelle markers by confocal microscopy
and super-resolution structured illumination microscopy (SR-SIM).
The majority of the labeling colocalized strongly with markers of
the Golgi apparatus and ER (Figures C and S5A,B and Movies S1 and S2).
To validate these colocalization analyses, we performed analogous
colocalization experiments on fixed cells labeled either with SPAAC
identically to the live-cell samples but fixed prior to imaging or
with CuAAC following fixation as previously shown (Figure S6). We attribute any differences in relative fluorescence
intensity of the IMPACT label in between various protocols (e.g., Figure S6 compared to Figure C) to the fixation step.We then assessed,
using fluorescence recovery after photobleaching
(FRAP), the time scale on which the fluorescent lipid reporters of
PLD activity diffused and trafficked around the cell. In these studies,
we observed rapid (<5 s) FRAP in the ER, suggesting that, as expected,
the fluorescently labeled lipids diffused very rapidly within the
lipid bilayer of an individual organelle (Figure S7A and Movie S3). However, we observed
minimal FRAP in a region of the Golgi apparatus over 20 min, suggesting
that trafficking of the fluorescent phosphatidyl alcohols occurs much
more slowly (Figure S7B and Movie S4). These FRAP studies support the idea
that our labeling protocol, including the SPAAC and associated rinse
steps, has sufficient temporal resolution to report on the localizations
of PLD activity in live cells.While PLD-dependent PA production
at the Golgi apparatus is well
documented for many physiological processes occurring on Golgi membranes,[1] we were surprised to observe such strong and
striking fluorescent phosphatidyl alcohol labeling of the ER. The
ER is the principal cellular site of de novo phospholipid biosynthesis,
in which PA is a central intermediate.[27] However, PA pools in the ER are generally thought to be produced
from glycerol 3-phosphate via acyltransferase activities,[27] though a single study has proposed functions
for PLD-generated PA in promoting vesicle trafficking from the ER
to the Golgi via the Sar1GTPase.[28] Our
data suggest, however, that a substantial fraction of inducible PLD
activity may occur at ER membranes, which is surprising given limited
evidence for functions and localizations of PLDs at ER membranes.Additionally and importantly, we noticed a small number of IMPACT-derived
bright puncta in each cell. These puncta exhibited partial colocalization
by confocal microscopy and SR-SIM with markers of both lysosomes (LAMP1)
and endosomes (Rab5), consistent with known roles for PLD1-generated
PA on these organelles, including in mTOR activation and macroautophagy
(Figures D,E and S5C,D and Movies S5 and S6).[29−31] Interestingly, only
a subset of these organelles contained the labeled phosphatidyl alcohols.We reasoned that if the fluorescent phosphatidyl alcohols are indeed
faithful reporters of PLD activity, then performing the AzProp/SPAAC
labeling in cells overexpressing a fluorescently tagged PLD1 construct
should result in increased IMPACT labeling on PLD1-positive structures.
Therefore, we generated an mCherry-tagged PLD1 and found that, as
expected for an overexpressed, tagged PLD1, it localized predominantly
to puncta corresponding to lysosomes and endosomes (Figure S8 and Movies S7 and S8).[1]When we
incubated mCherry-PLD1-expressing cells with AzProp, followed
by PMA stimulation and SPAAC labeling with 1, we observed
an increase in IMPACT fluorescence in bright puncta that indeed colocalized
with mCherry-PLD1 (Figure F and Movie S7). Strikingly, while
virtually every fluorescent phosphatidyl alcohol spot was positive
for mCherry-PLD1, only a small subset of mCherry-PLD1-positive puncta
were positive for fluorescent phosphatidyl alcohol (Figure F and Movie S7). These results suggest an unappreciated spatial heterogeneity
in PLD activation at the subcellular level, wherein, even under strong
stimulation with PMA, only a subset of PLD enzymes are activated.Up to this point, we had focused our efforts on monitoring acute
PLD activation in response to a stimulus, using PMA as a model pharmacological
agent to mimic activation of several signal transduction pathways.
In the absence of a stimulus, however, PLD enzymes do display a much
lower but appreciable level of basal activity.[9,16,32] The ability to detect this much lower level
of basal PLD activity could enable the study of the consequences of
aberrant PLD levels that occur in disease, notably in several cancers.[14,15] Thus, we then set out to determine whether IMPACT using AzProp displayed
sufficient sensitivity to detect basal, endogenous PLD activity.To accomplish this, we treated HeLa cells with 1 mM AzProp, followed
by lipid extraction, SPAAC labeling with 1, and HPLC
analysis. While short incubations of AzProp (e.g., 20 min) did not
result in appreciable labeling, slightly longer labeling times of
2 h led to detection of fluorescent phosphatidyl alcohols (Figure A). Treatment with
FIPI prevented phosphatidyl alcohol production, and use of the isoform-selective
inhibitors VU0359595 and VU0364739 revealed that roughly half of the
unstimulated PLD activity in HeLa cells can be attributed to each
of PLD1 and PLD2 (Figure A).
Figure 3
AzProp labeling reveals heterogeneity of unstimulated PLD activity
at the cellular level. HeLa cells were first treated with the indicated
PLD inhibitor (PLDi (FIPI), 750 nM; PLD1i (VU0359595),
250 nM; PLD2i (VU0364739), 350 nM) or DMSO vehicle for
30 min, followed by AzProp (1 mM) for 120 min (or no alcohol for 120
min as indicated in panels B and C) and then further processed for
analysis as described below. (A) For HPLC analysis, lipids were extracted,
extracts were tagged by SPAAC with 1 and then analyzed
by fluorescence-coupled HPLC. (B–D) For live-cell analysis,
cells were then incubated with 1 (1 μM) for 10
min, rinsed for 15 min. (B) Cells were then analyzed by flow cytometry.
Shown are mean fluorescence intensities of the cell populations. Black
bars: AzProp + no inhibitor. Gray bars: AzProp + indicated PLD inhibitor.
White bars: no alcohol. Error bars represent SEM. *, p < 0.01; n = 3 biological replicates. (C, D)
Cells were further stained with Hoechst 33342 to mark nuclei and imaged
by confocal microscopy. Single z-slices are shown
at low (C) and high (D) magnification, and in panel C, AzProp fluorescence
is in green and Hoechst 33342 is in magenta. Scale bars: 50 μm
(C), 10 μm (D).
AzProp labeling reveals heterogeneity of unstimulated PLD activity
at the cellular level. HeLa cells were first treated with the indicated
PLD inhibitor (PLDi (FIPI), 750 nM; PLD1i (VU0359595),
250 nM; PLD2i (VU0364739), 350 nM) or DMSO vehicle for
30 min, followed by AzProp (1 mM) for 120 min (or no alcohol for 120
min as indicated in panels B and C) and then further processed for
analysis as described below. (A) For HPLC analysis, lipids were extracted,
extracts were tagged by SPAAC with 1 and then analyzed
by fluorescence-coupled HPLC. (B–D) For live-cell analysis,
cells were then incubated with 1 (1 μM) for 10
min, rinsed for 15 min. (B) Cells were then analyzed by flow cytometry.
Shown are mean fluorescence intensities of the cell populations. Black
bars: AzProp + no inhibitor. Gray bars: AzProp + indicated PLD inhibitor.
White bars: no alcohol. Error bars represent SEM. *, p < 0.01; n = 3 biological replicates. (C, D)
Cells were further stained with Hoechst 33342 to mark nuclei and imaged
by confocal microscopy. Single z-slices are shown
at low (C) and high (D) magnification, and in panel C, AzProp fluorescence
is in green and Hoechst 33342 is in magenta. Scale bars: 50 μm
(C), 10 μm (D).To image sites of basal PLD activity within live cells, we
treated
cells with 1 mM AzProp for 2 h, rinsed the cells, and then performed
the SPAAC reaction with 1. Analysis of populations of
labeled cells by flow cytometry revealed a modest amount of fluorescence
that was 4-fold higher in cells treated with AzProp than in cells
treated with no alcohol (Figure B). Importantly, the use of FIPI and the isoform-selective
inhibitors in these flow cytometry experiments gave results that were
consistent with the in vitro lipid analysis shown in Figure A, indicating that the AzProp-dependent
cellular fluorescence was due entirely to PLD enzymes and split evenly
between the activities of PLD1 and PLD2 (Figure B).We then examined the distribution
of basal PLD activity at both
the cellular and subcellular levels. At the cellular level, we observed
a striking heterogeneity, wherein a small subset of cells exhibited
high IMPACT-derived fluorescence (Figure C), while the majority of cells exhibited
much lower fluorescence (Figure S9). While
an examination of the flow cytometry data did not reveal a discernible,
separate IMPACThigh population, we did notice an asymmetry
in the histogram of IMPACT fluorescence, with a larger tail at higher
fluorescence values. Skewness is a statistical measure for quantitation
of this asymmetry, with positive skewness reflecting an increase at
the high end of the distribution and negative skewness reflecting
an increase at the low end. The flow cytometry data indeed exhibited
a positive skewness value, potentially reflecting the contributions
of the IMPACThigh cells to the overall population distribution
(Figure S10).When we performed similar
IMPACT labeling of basal PLD activity
in the presence of the PLD1 isoform-selective inhibitor VU0359595,
we observed the disappearance of the high-fluorescence cells by confocal
microscopy (Figure C), while treatment with the PLD2 inhibitor VU0364739 did not eliminate
the high-fluorescence population (Figure C). Thus, at the cellular level, we attribute
the high fluorescence of a minority of cells to PLD1 activity and
the moderate fluorescence in the majority of cells to PLD2. These
data are consistent with the constitutive but modest activity of PLD2
compared to the highly inducible activity of PLD1.[9] Further, these conclusions are supported by a decrease
in population skewness observed by flow cytometry analysis upon treatment
with VU0359595 but an increase in skewness upon treatment with VU0364739
(Figure S10). Notably, the heterogeneity
of PLD1 at the cellular level is unexpected and quite different from
the case where PLD1 activity is stimulated by PMA, where virtually
all cells exhibited high and roughly equivalent levels of fluorescence
(e.g., Figure B).The subcellular localization of AzProp-marked basal PLD activity
appeared to be similar to that of AzProp-marked, PMA-stimulated PLD
enzymes, that is localized to a mixture of ER, Golgi, endosomal, and
lysosomal membranes (Figure D). We used isoform-selective inhibitors to probe the relative
contributions of each PLD isoform to PA biosynthetic activity on different
organelle membranes. Use of the PLD1-selective inhibitor VU0359595
led to selective disappearance of most of the ER-derived fluorescence
but only a portion of the Golgi-derived fluorescence (Figure D). By contrast, the PLD2-selective
inhibitor VU0364739 caused a decrease in Golgi-derived fluorescence
but had minimal effect on ER-derived fluorescence (Figure D). Thus, we conclude that,
in HeLa cells, the bulk of ER-localized, basal PLD activity is due
to PLD1, whereas PLD activity on Golgi membranes is due to a roughly
equal mix of PLD1 and PLD2.Our observation of largely similar
labeling patterns between acutely
stimulated and tonic PLD activity in separate experiments raised the
question of whether we could, within the same cell, tag membranes
orthogonally to distinguish these distinct biochemical activities
temporally and spatially. To accomplish this, we developed a sequential,
two-color labeling protocol to mark basal PLD activity with one fluorophore
and stimulated PLD activity with a second fluorophore (Figure A). We first treated cells
with AzProp for 3 h in the absence of a PLD stimulus to generate phosphatidyl
azidoalcohols. Followed by a brief rinse, we then added 5-hexyn-1-ol
(hexynol) in the presence of a PMA stimulus to mark membranes bearing
acutely stimulated PLD enzymes with phosphatidyl alkynols.[19] After fixation, we performed sequential SPAAC
and CuAAC reactions with 1 and then a tetramethylrhodamine–azide
conjugate, respectively, followed by imaging by confocal microscopy.
Figure 4
Sequential,
two-color imaging protocol using AzProp and hexynol
enables visualization of basal and PMA-stimulated PLD activity. (A)
Schematic of experimental setup. HeLa cells were treated with AzProp
(1 mM) for 180 min, rinsed for 10 min, and then treated with hexynol
(1 mM) for 20 min. Where indicated, cells were then stimulated with
PMA (100 nM) in the presence of hexynol for 20 min. Cells were then
fixed with paraformaldehyde, sequentially labeled first by SPAAC with 1 and then by CuAAC with an azido tetramethylrhodamine conjugate,
mounted in medium containing DAPI, and imaged by confocal microscopy.
Where PLDi is indicated in panel B, cells were incubated
with FIPI (750 nM) for 30 min prior to AzProp labeling and throughout
both alcohol labeling steps. (B, C) Confocal microscopy images of
cells labeled as described above. In merged images, AzProp-derived
fluorescence is in green, hexynol-derived fluorescence is magenta,
and DAPI is blue; colocalization of AzProp and hexynol appears as
white. Shown are single z-slices at low (B) and high
(C) magnification. Scale bars: 50 μm (B), 10 μm (C).
Sequential,
two-color imaging protocol using AzProp and hexynol
enables visualization of basal and PMA-stimulated PLD activity. (A)
Schematic of experimental setup. HeLa cells were treated with AzProp
(1 mM) for 180 min, rinsed for 10 min, and then treated with hexynol
(1 mM) for 20 min. Where indicated, cells were then stimulated with
PMA (100 nM) in the presence of hexynol for 20 min. Cells were then
fixed with paraformaldehyde, sequentially labeled first by SPAAC with 1 and then by CuAAC with an azido tetramethylrhodamine conjugate,
mounted in medium containing DAPI, and imaged by confocal microscopy.
Where PLDi is indicated in panel B, cells were incubated
with FIPI (750 nM) for 30 min prior to AzProp labeling and throughout
both alcohol labeling steps. (B, C) Confocal microscopy images of
cells labeled as described above. In merged images, AzProp-derived
fluorescence is in green, hexynol-derived fluorescence is magenta,
and DAPI is blue; colocalization of AzProp and hexynol appears as
white. Shown are single z-slices at low (B) and high
(C) magnification. Scale bars: 50 μm (B), 10 μm (C).Consistent with our live-cell
imaging (Figure C),
in this experiment the nonstimulated
PLD displayed high AzProp-derived fluorescence only in a minority
of cells, whereas hexynol marked equally high PMA-stimulated PLD activity
in all cells (Figure B). Various negative controls, including the omission of PMA and
the addition of FIPI, validated the specificity of each alcohol probe
in this sequential labeling protocol (Figure B). At the subcellular level, the two different
phosphatidyl alcohol populations exhibited a substantial colocalization,
suggesting that basal and active PLD pools occupy similar membrane
compartments (Figure C). Given that both AzProp and hexynol are expected to report on
PLD1 and PLD2 activities under our labeling conditions, we were pleased
to observe such strong colocalization. As an important control, when
we switched the order of AzProp and hexynol labeling, i.e., using
a 3-h hexynol treatment to mark unstimulated PLD activity and a 20
min AzProp incubation in the presence of PMA to report on stimulated
PLD, we observed identical results (Figure S11).Collectively, these IMPACT imaging experiments offer several
potential
insights regarding the localization and activity of PLD enzymes. First,
the localization of endogenous PLD activity, both basal and PMA-stimulated,
appears different from the localization of fluorescently tagged PLD
enzymes. Second, our data suggest that a major pool of PLD activity
may reside in the ER, indicating underappreciated and potentially
novel functions for PLD-dependent PA production in this organelle.
Third, we observe a striking heterogeneity in IMPACT labeling at both
the cellular and subcellular levels. At the cellular level, basal
PLD1 activity appears low, but a minority of cells within a given
population exhibit what appears to be stochastically high PLD1 levels.
At the subcellular level, even under strong PMA stimulation, only
a subset of overexpressed, endosomally and lysosomally localized PLD1
enzymes colocalize with IMPACT labeling, suggesting that endogenous
PLD1 enzymes may have highly variable activity across these compartments
as well.In sum, we have developed a nonperturbative, chemical
approach
for imaging and profiling endogenous cellular PLD activity within
live cells termed IMPACT that both recapitulated known localizations
of PLD-mediated PA production and also highlighted the existence of
underappreciated cellular pools of active PLD. We anticipate that
this method, which is specific to PLD-generated PA, will be an important
part of the growing toolset for studying PA, which includes complementary
genetically encoded sensors that bind to total cellular PA independent
of its biosynthetic origins. Collectively, our study underscores the
importance of using chemical imaging tools that can directly report
on enzymatic activity to study dynamic lipid signaling events.
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