Phosphoinositides are low abundance membrane phospholipids that have key roles in signaling, membrane trafficking, and cytoskeletal dynamics in all cells. Until recently, strategies for robust and quantitative development of pharmacological tools for manipulating phosphoinositide levels have focused selectively on PI(3,4,5)P3 due to the importance of this lipid in growth factor signaling and cell proliferation. However, drugs that affect levels of other phosphoinositides have potential therapeutic applications and will be powerful research tools. Here, we describe methodology for the high-throughput screening of small molecule modulators of the inositol 5-phosphatases, which dephosphorylate PI(4,5)P2 (the precursor for PI(3,4,5)P3) and PI(3,4,5)P3). We developed three complementary in vitro activity assays, tested hit compounds on a panel of 5-phosphatases, and monitored efficacy toward various substrates. Two prominent chemical scaffolds were identified with high nanomolar/low micromolar activity, with one class showing inhibitory activity toward all 5-phosphatases tested and the other selective activity toward OCRL and INPP5B, which are closely related to each other. One highly soluble OCRL/INPP5B-specific inhibitor shows a direct interaction with the catalytic domain of INPP5B. The efficacy of this compound in living cells was validated through its property to enhance actin nucleation at the cell cortex, a PI(4,5)P2 dependent process, and to inhibit PI(4,5)P2 dephosphorylation by OCRL (both overexpressed and endogenous enzyme). The assays and screening strategies described here are applicable to other phosphoinositide-metabolizing enzymes, at least several of which have major clinical relevance. Most importantly, this study identifies the first OCRL/INPP5B specific inhibitor and provides a platform for the design of more potent inhibitors of this family of enzymes.
Phosphoinositides are low abundance membrane phospholipids that have key roles in signaling, membrane trafficking, and cytoskeletal dynamics in all cells. Until recently, strategies for robust and quantitative development of pharmacological tools for manipulating phosphoinositide levels have focused selectively on PI(3,4,5)P3 due to the importance of this lipid in growth factor signaling and cell proliferation. However, drugs that affect levels of other phosphoinositides have potential therapeutic applications and will be powerful research tools. Here, we describe methodology for the high-throughput screening of small molecule modulators of the inositol 5-phosphatases, which dephosphorylate PI(4,5)P2 (the precursor for PI(3,4,5)P3) and PI(3,4,5)P3). We developed three complementary in vitro activity assays, tested hit compounds on a panel of 5-phosphatases, and monitored efficacy toward various substrates. Two prominent chemical scaffolds were identified with high nanomolar/low micromolar activity, with one class showing inhibitory activity toward all 5-phosphatases tested and the other selective activity toward OCRL and INPP5B, which are closely related to each other. One highly soluble OCRL/INPP5B-specific inhibitor shows a direct interaction with the catalytic domain of INPP5B. The efficacy of this compound in living cells was validated through its property to enhance actin nucleation at the cell cortex, a PI(4,5)P2 dependent process, and to inhibit PI(4,5)P2 dephosphorylation by OCRL (both overexpressed and endogenous enzyme). The assays and screening strategies described here are applicable to other phosphoinositide-metabolizing enzymes, at least several of which have major clinical relevance. Most importantly, this study identifies the first OCRL/INPP5B specific inhibitor and provides a platform for the design of more potent inhibitors of this family of enzymes.
Phosphoinositide
(PI) lipids
derive from the phosphorylation of phosphatidylinositol at the 3,
4, and 5 positions of the inositol ring resulting in the generation
of seven phosphoinositide species with differing localization and
functions within cells. Dynamic control of their levels and of their
heterogeneous distribution within cellular membranes is achieved through
the actions of an array of kinases, phosphatases, and phospholipases.
Aberrant phosphoinositide metabolism underlies several pathological
conditions,[1] most notably cancer, given
the key role of PI(3,4,5)P3 in cell growth and proliferation.
Accordingly, enzymes controlling the levels of PI(3,4,5)P3 are an important therapeutic target.[2] Other therapeutic uses of drugs directed against PI metabolizing
enzymes have been recently suggested.[3−6]One important class of PI metabolizing
enzymes are inositol 5-phosphatases.
Members of this protein family play a major role in the control of
PI(4,5)P2, a PI that resides primarily, although not exclusively,
on the cytoplasmic leaflet of the plasma membrane. Via direct interactions
of its phosphorylated headgroup, this phospholipid has a broad range
of actions, including effects on signaling scaffolds, ion channel
function, exo-endocytosis, the actin cytoskeleton, and thus cell polarity
and migration. Impaired spatiotemporal control of PI(4,5)P2 has been implicated in several leukemias, metabolic disorders, neurodegenerative
diseases, and genetic disorders.[7,8] Additionally, PI(4,5)P2 is the precursor of other important signaling molecules,
such as IP3 (inositol triphosphate, a soluble phosphoinositol), via
the action of phospholipase C and PI(3,4,5)P3 via the action
of PI 3-kinases. Both IP3, as well as other inositolpolyphosphates
(IPs) and PI(3,4,5)P3 are also substrates of 5-phosphatases,
so that this class of enzymes has a multiplicity of key physiological
functions.There are 10 mammalian enzymes with a conserved inositol
5-phosphatase
domain. Each enzyme has unique substrate preferences, IPs, PI(4,5)P2, or PI(3,4,5)P3, with one enzyme, INPP5A (also
called type I inositol 5-phosphatase) selectively acting on IPs.[9] Additionally, each family member has a specific
pattern of tissue distribution and subcellular localization (reflecting
unique sets of protein–protein interactions and preferential
actions on specific PI pools). Thus, these enzymes display both unique
and partially overlapping functions.Current methods for studying
specific 5-phosphatases rely primarily
upon genetic models, overexpression, chronic enzyme depletion (by
knockdown or knockout methods), or changes arising from spontaneous
mutations in human patients or model organisms. These methods, however,
are susceptible to compensatory mechanisms. Thus, the availability
of small compounds for the selective and acute manipulation of endogenous
5-phosphatase activities, and possibly of specific member(s) of this
protein family, would represent a powerful tool for basic research.
These compounds could also have important therapeutic applications.[7,8]Assays toward the development of specific small molecule modulators
of 5-phosphatases have been reported, and some of them have led to
the isolation of SHIP1 and SHIP2 inhibitors and activators,[5,10−13] but no inhibitors with selectivity for other members of the 5-phosphatase
family have been described.Here, we describe a screening strategy
for the identification of
small molecule modulators of 5-phosphatases. The initial high-throughput
screens focused on identifying synaptojanin 1 and OCRL modifiers.
Synaptojanin 1 is the major 5-phosphatase of synapses.[14,15] OCRL is a ubiquitously expressed 5-phosphatase whose loss of function
results in OculoCerebroRenal Syndrome of Lowe, a condition involving
renal tubular dysfunction, developmental delay/intellectual disability,
and congenital cataracts. Candidate compounds were then assayed for
their activity toward other inositol 5-phophatases: INPP5B, a close
homologue of OCRL, and the more structurally divergent phosphatases
SHIP2, INPP5E, and INPP5A. Inhibitory effectiveness on 5-phosphatase
activity using different substrates, such as diC16 PI(4,5)P2, diC8 PI(3,4,5)P3, and IP3 was also analyzed.As
a result of this comprehensive screening strategy, which could
be extended to the isolation of modulators of other PI modifying enzymes,
we have identified a small molecule inhibitor with specificity for
OCRL/INPP5B over the enzymes tested in our panel and verified the
efficacy of this compound in three separate assays in living cells.
Results
and Discussion
High Throughput Screening and Assay Development
We
developed three different assay formats for screening compound libraries.
These assays were complementary to each other, and the combination
of three separate assays allowed us to exclude false-positive hits
due to assay interference. Importantly, this strategy also allowed
us to test efficacy of our compounds against phosphoinositides with
differences in both their lipid chain (IP3, diC8, diC16) and degree
of phosphorylation.Our main tool for the screening of 5-phosphatase
activity was a competitive flourescence polarization (FP) assay that
detects the conversion of PI(3,4,5)P3 into PI(3,4)P2, using a GST-tagged TAPP1 PH domain as a detector for PI(3,4)P2. Specifically, dephosphorylation of diC8 PI(3,4,5)P3 produced excess, unlabeled, diC8 PI(3,4)P2, which competitively
displaced a trace amount of BODIPY TMR-PI(3,4)P2 pre-bound
to the TAPP1 PH domain.[16] This assay was
very sensitive and highly reproducible with Z′ scores ranging
0.6–0.9 (a score of 0.5–1 indicates an excellent screening
assay). Representative data from this assay is shown in Figure 1a.
Figure 1
Representative data showing enzyme titration at constant
substrate
concentration for (a) the fluorescence polarization (FP) assay, 2.5
μM PI(3,4,5)P3; (b) the malachite green (MG) assay
(25 μM PI(4,5)P2); and (c) the mobility shift (MS)
assay (500 nM PI(3,4,5)P3). (d and e) Representative 12
point dose response curves for (d) YU142679 in the malachite green
assay and (e). YU144369 in the fluorescence polarization assay. All
data was measured in quadruplicate; errors indicate the standard deviation.
Representative data showing enzyme titration at constant
substrate
concentration for (a) the fluorescence polarization (FP) assay, 2.5
μM PI(3,4,5)P3; (b) the malachite green (MG) assay
(25 μM PI(4,5)P2); and (c) the mobility shift (MS)
assay (500 nM PI(3,4,5)P3). (d and e) Representative 12
point dose response curves for (d) YU142679 in the malachite green
assay and (e). YU144369 in the fluorescence polarization assay. All
data was measured in quadruplicate; errors indicate the standard deviation.Results from the FP assay were
complemented by a malachite green
assay (Z′ scores 0.5–0.8), which was significantly less
sensitive but had the advantage of flexibility in the substrate used
(diC8 PI(4,5)P2 in our initial screening, also used subsequently
for diC16 PI(4,5)P2 and IP3) (Figure 1b). Finally, a mobility shift (MS) assay monitored the conversion
of fluorescein-tagged substrate (either PI(4,5)P2 or PI(3,4,5)P3) using a combination of capillary electrophoresis and microfluidics[13] (Figure 1C, Z′
scores 0.5–0.7). This assay effectively removed signal contributions
from compounds and reduced assay interference. However, dose response
analysis in this assay was hindered by the speed of the detection
step. Thus, this assay was primarily utilized to confirm hits from
the other assays.Our overall screening strategy is outlined
in Scheme 1. Using a combination of the FP
and malachite green assays,
a total of 37 579 compounds were screened in 384 well format
for activity toward Synaptojanin 1. The FP assay was used exclusively
to screen for OCRL modifiers in 384 well format with a total of 29 087
compounds tested. We choose a hit enrichment boundary of 3 standard
deviations away from the median percent effect, and with this boundary
we had a hit rate of 0.56–1.8%. Hit pick plates, with 320 (Synaptojanin
1) and 298 (OCRL) compounds were then tested with both enzymes, since
each enzyme was screened independently with partially overlapping
libraries. We found 33 compounds with significant activity in the
OCRL hit pick screens and 76 compounds with significant activity in
the Synaptojanin 1 hit pick screen.
Scheme 1
Schematic of Our
Screening Strategy
* denotes places
where structure–activity
relationship (SAR)-directed iterations occurred.
Schematic of Our
Screening Strategy
* denotes places
where structure–activity
relationship (SAR)-directed iterations occurred.Compounds were further characterized with dose response. Many of
the compounds identified in the OCRL and Synaptojanin hit pick screens
overlapped. Thus, for the dose response curves we picked 36 compounds
which had either (1) activity toward both OCRL and Synaptojanin or
(2) activity in two of our activity assays (22 for OCRL and 21 for
Synaptojanin). We also included a known SHIP2 inhibitor as a negative
control.[12] We initially measured 4 point
curves with 36 compounds, of which 12 displayed inhibitory activity
toward OCRL in both the malachite green and fluorescence polarization
assays, and 10 displayed inhibitory activity toward Synaptojanin in
the same two assays (Supporting Information (SI)
Table 1). After the 4 point dose response, we followed up with
a 12 point curve with the 12 best candidates. See Figure 1d, e for representative 12 point dose response curves.Our top compounds fell within the acceptable range for Lipinski’s
rule of five for druglike properties (Figure 2a). All were less than 500 Da, carried less than 5 hydrogen bond
donors and less than 10 hydrogen bond acceptors, and had calculated
partition coefficient (LogP) values ranging 0.7–5. However,
many of the top hits were not soluble in aqueous solution, hampering
their further characterization. Thus, we explored related compounds
with enhanced solubility for activity in our assays. Structure activity
relationship (SAR) analysis of the top compounds from both dose response
and primary screening data prompted us to screen all other compounds
in the available libraries with chemical similarity. We identified
eight major scaffold classes among the screen positives (see SI Figure 1). Compounds with significant activity
were further characterized by dose response, and the process was iterated
several times.
Figure 2
Two main scaffold classes and their distinctive activities
toward
the inositol 5-phosphatases. (a) Three top compounds in each class
are shown. (b) Phylogenetic dendrogram of the inositol 5-phosphatase
domains of the 10 mammalian family members. Red and blue check marks
next to enzyme names denotes sensitivity to Class I (red) or Class
II (blue) compounds.
Two main scaffold classes and their distinctive activities
toward
the inositol 5-phosphatases. (a) Three top compounds in each class
are shown. (b) Phylogenetic dendrogram of the inositol 5-phosphatase
domains of the 10 mammalian family members. Red and blue check marks
next to enzyme names denotes sensitivity to Class I (red) or Class
II (blue) compounds.This iterative optimization process quickly showed that members
of only the first two scaffold classes, Class I and Class II, produced
multiple hits with favorable qualities. Criteria included reproducible
IC50 values of less than 10 μM, saturating dose response curves
with maximal percent effects that reached >90%, and a Hill coefficient
that is close to 1 (a steep dose response curve can indicate compound
aggregation). In fact, even in the first 36 compound dose response
analysis, one can see an enrichment of compounds belonging to Class
I and II. In total, we identified 13 compounds containing a triazolo[3,4-b][1,3,4]
thiadiazole with substitutions at the 3 and 6 positions that were
grouped into Class I. Class II compounds, which comprised 24 members,
contained a core benzyl amine group (see SI Figure
1).The three top compounds from Class I and Class II
are illustrated
in Figure 2A. IC50 values were in the low micromolar
to high nanomolar range (Table 1). To our knowledge,
none of the identified compounds have structural similarity to currently
identified 5-phosphatase modifiers.
Table 1
Activity from Dose
Response Curves
of Top Compounds in the Two Identified Classesa
Class
I
Class II
enzyme
assay
substrate
YU142670
YU142717
YU144805
YU144369
YU144530
YU144118
SJ1
FP
PI(3,4,5)P3
none
none
none
3.63
>70
1.3
OCRL
FP
PI(3,4,5)P3
1.32b
2.98
1.56
3
3.59
4.59
INPP5B
FP
PI(3,4,5)P3
17.5b
39.01
10.38
2.55
3
3.97
SHIP1
FP
PI(3,4,5)P3
none
none
none
2.52
2.89
8.97
INPP5E
FP
PI(3,4,5)P3
>70b
none
>70
2.33
2.8
5.77
INPP5A
malachite
IP3
none
none
>70
1.07
1.44
1.81
INPP5B
malachite
IP3
0.53
0.92
0.57
0.57
0.81
1.1
OCRL
malachite
PI(4,5)P2
0.71
0.68
0.86
3.61
5.77
4.06
INPP5B
malachite
PI(4,5)P2
1.78
2.63
1.39
1.65
2.6
2.24
cSAP
malachite
dNTPs
ND
none
none
>50
>50
>50
PTEN
mobility shift
PI(3,4,5)P3
ND
none
none
ND
ND
none
spingomyelinase
fluorescence
sphingomyelin
none
none
>70
noneb
noneb
noneb
Average IC50
values from lead
compounds, in μM. Unless otherwise indicated data are from 12
point dose response curves with 4 replicates. ND: not determined.
None: no impact on activity at any compound concentration tested.
>50 or >70, less than 50% impact on activity was detected at
highest
doses of compound, either 50 or 70 μM.
Assay interference detected.
Data from a 4 point dose response
curve.
Average IC50
values from lead
compounds, in μM. Unless otherwise indicated data are from 12
point dose response curves with 4 replicates. ND: not determined.
None: no impact on activity at any compound concentration tested.
>50 or >70, less than 50% impact on activity was detected at
highest
doses of compound, either 50 or 70 μM.Assay interference detected.Data from a 4 point dose response
curve.We were particularly
interested in YU142670 because of its chemical
similarity to molecules in one of our main scaffold classes (Class
I) along with a favorable calculated LogP value (0.34), predicting
better solubility. Interestingly, YU142670, was present in our initial
high-throughput screening but was not identified as a hit due to interference
in the FP assay (Table 1), which manifested
as high background fluorescence values. When measured by dose response
in the FP assay, this interference shifted the apparent percent effects
of the compound in the dose response curves. Even with this background,
saturating dose-dependent inhibition of enzyme activity by this compound
was measured for OCRL and INPP5B (although it did not reach 80% effect)
and not other family members tested (either no response, or a small
response at very high concentrations of the compound)(see also below).To gain a more accurate measurement of the IC50 we measured the
dose response curve for YU142670 in the malachite green assay with
diC16 PI(4,5)P2 as a substrate (Figure 1D).
In this assay, we reached 100% effect on OCRL and INPP5B activity
with an IC50 of 0.71 and 1.78 μM, respectively (Table 1). Thus, given its favorable chemical properties,
this compound became our lead compound for measurement of binding
affinity by Isothermal Titration Calorimetry and for several assays
to test efficacy in cell culture (see below).As negative controls,
we analyzed efficacy toward two unrelated
phosphatases: Shrimp Alkaline phosphatase (SAP), a general phosphatase
which can also act on nucleic acids, and Phosphatase and TENsin homologue
(PTEN), a PI(3,4,5)P3 3-phosphatase. No representatives
from the two main scaffold classes displayed significant inhibitory
activity toward these enzymes, shown in Table 1. A third enzyme, neutral bacterial sphingomyelinase, which shares
a similar fold to the inositol 5-phosphatases (a DNase I fold), was
also tested. This enzyme was not sensitive to any Class I compounds
screened. Results with Class II compounds were not conclusive due
to assay interference (compounds caused a signal increase, which resulted
in negative, compound concentration-dependent, percent effects).
Selectivity within the 5-Phosphatase Family
The core
of the Inositol 5-phosphatase domain consists of 11 β-strands
mainly running antiparallel to each other, forming 2 β-sheets
surrounded by a layer of α-helices.[17,18] The active site sits in a relatively shallow pocket formed by the
tips of the β-strands at one pole of the module (SI Figure 2), which shares several common features
among family members.[18] The active site
geometry is held in place by the core fold of the protein, which can
withstand some variability in its sequence while maintaining the correct
secondary structure. Thus, members of the 5-phosphatase family have
the same basic enzymatic function while displaying quite distinct
amino acid sequences, as revealed by sequence identities for the human
5-phosphatase domains ranging from 15–60% (sequence homology
is ∼30–70%)(see SI Table 3). Differences in the regions surrounding the active site likely
help determine substrate specificity.[7] The
relatedness of the catalytic domains of the human inositol 5-phosphatases
is depicted in a phylogenetic dendrogram in Figure 2b.In order to assess the specificity of our compounds
toward various members of the 5-phosphatase family, we tested the
compounds toward other members of this family that can act on PIs:
INPP5B, SHIP1 and INPP5E. INPP5B is the closest homologue to OCRL,
with 69% homology in the catalytic domain. We chose SHIP1 and INPP5E
as our other control enzymes due to their clinical relevance[8] and their sequence diversity within the family.
The IC50 values for representatives from our lead scaffold classes
are indicated in Table 1. Assessment of the
activity of these enzymes in dose response curves shows that while
Class II compounds inhibit all 5-phosphatases in the panel, no inhibition
was detected when Synaptojanin, SHIP1, or INPP5E were assayed with
the Class I compounds (see Figure 2c for a
summary).Note that our original screening assays utilized either
full length
OCRL, or a construct of Synaptojanin-1 containing the Sac1 and 5-phosphatase
domains. When we tested efficacy of these compounds toward INPP5B
we used a construct comprising only the 5-phosphatase domain. The
finding that both compounds classes displayed activity toward the
INPP5B catalytic domain indicates that they act on the 5-phosphatase
domain (Table 1) (see also below).We
also tested our lead compounds in 5-phosphatase assays (malachite
assays) with IP3 as the substrate. IP3 is the precursor of other inositol
polyphosphates and of pyrophosphates, the molecules that result from
the reversible phosphorylation and pyrophosphorylation of the inositol
ring (by well over 25 mammalian enzymes), to generate 13 species with
important signaling functions. We included in this assay INPP5A, the
only 5-phosphatase that acts exclusively on IPs, while the other 9
members of the 5-phosphatase family act on both IP3 and PIs with varied
efficacy. The identification of small molecules that selectively interfere
with either lipid or soluble substrates would be useful research and
therapeutic tools with potentially fewer off-target effects.Consistent with previous reports, we found that INPP5B (here the
catalytic domain) displayed robust activity against IP3, whereas OCRL
had barely detectable activity at high enzyme concentrations (SI Figure 3).[19,20]Importantly,
using IP3 as the substrate, as shown in Table 1, we found significant inhibitory activity of both
compounds toward the catalytic domain of INPP5B (IC50 values ranging
0.5–1.1 μM). The same scaffold class with inhibitory
activity toward OCRL, INPP5B, Synaptojanin 1, INPP5E, and SHIP1 (Class
II) also showed dose-dependent activity against INPP5A, while the
Class I compounds did not inhibit INPP5A. Altogether, our dose response
data suggests that Class II compounds are pan 5-phosphatase inhibitors
whereas the Class I compounds specifically target OCRL and INPP5B.
Direct Interaction between YU142670 and the INPP5B Catalytic
Domain
We utilized isothermal titration calorimetry (ITC)
to measure interactions of the most soluble compounds of each class
(YU142670 from Class I, YU144369 from Class II) with the catalytic
domain of the OCRL/INPP5B subgroup of 5-phosphatases. More specifically,
we used the catalytic domain of human INPP5B due to its robust expression
from a bacterial source, which was needed to produce sufficient quantities
of protein for the experiments. We detected a specific interaction
between the INPP5B catalytic domain and YU142670 (Ka = 2.35 ×
105 ± 8.744 × 104) (Figure 3). YU144369 also showed measurable heat of binding,
however, protein precipitation during the experiment render these
results inconclusive (data not shown).
Figure 3
Direct interaction of
YU142670 with the catalytic domain of INPP5B.
(a) ITC trace of YU142670 titration into the catalytic domain of INPP5B
shows measurable heat of binding. N = 0.9108 ±
0.0547; Ka = 2.352 × 105 ± 8.744 × 104, ΔH = −7270 ± 588.6, ΔS = 0.5933, χ2= 350238. (b) Titration of
compound into buffer solution alone.
Direct interaction of
YU142670 with the catalytic domain of INPP5B.
(a) ITC trace of YU142670 titration into the catalytic domain of INPP5B
shows measurable heat of binding. N = 0.9108 ±
0.0547; Ka = 2.352 × 105 ± 8.744 × 104, ΔH = −7270 ± 588.6, ΔS = 0.5933, χ2= 350238. (b) Titration of
compound into buffer solution alone.
Efficacy of YU142670 in Live Cells
We next explored
the effect of these compounds in living cells. Preliminary experiments
revealed that YU144369 (Class II) had an acute toxicity on cell cultures.
Thus, we focused our analysis on YU142670 (Class I), which shows specificity
toward OCRL and INPP5B. Cells defective in OCRL function have been
previously reported to exhibit enhanced actin nucleation due to accumulation
of PI(4,5)P2,[21−23] which is a critical factor for
the recruitment of actin nucleating proteins to membranes.[24] Thus, we examined whether inhibition of OCRL/INPP5B
by YU142670 had an impact on the organization of the actin cytoskeleton.
Toward this aim, we expressed an F-actin reporter, CHUtrophin-mCherry,[25] in wild-type human skin fibroblasts
and we assessed actin dynamics by live cell confocal microscopy upon
addition of YU142670. This compound was used at a concentration which
was approximately 50 fold higher than the biochemically measured IC50
(pilot experiments showed this concentration did not produce obvious
toxicity) to account for potentially incomplete cell penetration of
the compound (although lower concentrations of compound did produce
a measurable effect, data not shown). Addition of YU142670 in 0.5%
DMSO, but not 0.5% DMSO alone, produced, within minutes, an accumulation
of F-actin foci at the plasma membrane (Figure 4a and b). The number of foci increased over 12-fold in the presence
of YU142670 compared with DMSO controls (Figure 4c–e). Many of them developed into dynamic ruffles or filopodia
(Figure 4f). The localization of these foci
at PI(4,5)P2 rich sites was confirmed at the same sites
by the increase of fluorescence signal for the co-expressed GFP-PHPLCδ, a PI(4,5)P2 biosensor. It remains unclear
whether GFP-PHPLCδ hot spots represent a focal accumulation
of PI(4,5)P2 or a change in membrane geometry induced by
actin nucleation, as membrane ruffles/folds result in increased membrane
associated signal in the optic path.
Figure 4
YU142670 induces enhanced actin polymerization
and ruffle activity
at the plasma membrane. (a–b) Confocal micrographs of wild
type human fibroblasts expressing CHUtrophin-mCherry (left
panels) and GFP-PHPLCδ (right panels) before (top
panels) and 50 min after (bottom panels) the addition of 0.5% DMSO
(A) or 50 μM YU142670 in 0.5% DMSO (b). Note the actin (CHUtrophin-mCherry) foci that form upon addition of YU142670
and the corresponding modification of GFP-PHPLCδ fluorescence,
a marker of PI(4,5)P2 in the plasma membrane, from a diffuse
to a discretely concentrated signal. Spots may represent focal accumulation
of PI(4,5)P2 but also (and more likely) membrane deformations,
including ruffles (see field F) induced by the actin foci. Insets
show details at higher magnification. These structures were clearly
visible within 13 min of YU142670 addition on average (±1, n = 6 cells from independent experiments) (Scale bar full
frame =10 μm, inset =2 μm). (c–d) Mapping of GFP-PHPLCδ-positive spots at the plasma membrane above an arbitrary
fluorescence threshold (identifcal for control and YU142670 treated
cells) before (left panels) and 50 min after (right panels) the addition
of 0.5% DMSO (c) or 50 μM YU142670 (d). (e) Average fold change
in the number of GFP-PHPLCδ-positive structures at
the plasma membrane after thresholding following the addition of 0.5%
DMSO (black) or 50 μM YU142670 (blue). A greater than 12-fold
increase in the number of foci after YU142670 treatment is observed
(n = 3 cells from independent experiments; p < 0.02). (f) Sequential images of a wild type fibroblast
expressing CHUtrophin-mCherry before and after the addition
of 50 μM YU142670. Arrowheads indicate the formation of large
dynamic ruffles upon addition of the drug (scale bar =10 μm).
YU142670 induces enhanced actin polymerization
and ruffle activity
at the plasma membrane. (a–b) Confocal micrographs of wild
type human fibroblasts expressing CHUtrophin-mCherry (left
panels) and GFP-PHPLCδ (right panels) before (top
panels) and 50 min after (bottom panels) the addition of 0.5% DMSO
(A) or 50 μM YU142670 in 0.5% DMSO (b). Note the actin (CHUtrophin-mCherry) foci that form upon addition of YU142670
and the corresponding modification of GFP-PHPLCδ fluorescence,
a marker of PI(4,5)P2 in the plasma membrane, from a diffuse
to a discretely concentrated signal. Spots may represent focal accumulation
of PI(4,5)P2 but also (and more likely) membrane deformations,
including ruffles (see field F) induced by the actin foci. Insets
show details at higher magnification. These structures were clearly
visible within 13 min of YU142670 addition on average (±1, n = 6 cells from independent experiments) (Scale bar full
frame =10 μm, inset =2 μm). (c–d) Mapping of GFP-PHPLCδ-positive spots at the plasma membrane above an arbitrary
fluorescence threshold (identifcal for control and YU142670 treated
cells) before (left panels) and 50 min after (right panels) the addition
of 0.5% DMSO (c) or 50 μM YU142670 (d). (e) Average fold change
in the number of GFP-PHPLCδ-positive structures at
the plasma membrane after thresholding following the addition of 0.5%
DMSO (black) or 50 μM YU142670 (blue). A greater than 12-fold
increase in the number of foci after YU142670 treatment is observed
(n = 3 cells from independent experiments; p < 0.02). (f) Sequential images of a wild type fibroblast
expressing CHUtrophin-mCherry before and after the addition
of 50 μM YU142670. Arrowheads indicate the formation of large
dynamic ruffles upon addition of the drug (scale bar =10 μm).To further confirm the effects
of YU142670 on the 5-phosphatase
catalytic activity of OCRL in cells, we utilized an optogenetic method
that allows us to monitor selectively this activity.[26] The method is based on the blue light dependent heterodimerization
of a “bait” module (CIBN-CAAX) targeted to the plasma
membrane and a light-sensitive cryptochrome module (CRY2) fused to
the 5-phosphatase domain of OCRL (CRY2-5-ptaseOCRL). Blue-light illumination
causes rapid and reversible binding of CRY2-5-ptaseOCRL to CIBN, thus
recruiting the 5-phosphatase to the plasma membrane where it will
convert its substrate lipid PI(4,5)P2 to PI4P. This change
can be monitored by the loss of plasma membrane associated fluorescence
using iRFP-PH-PLCδ1, as a PI(4,5)P2 reporter.[26]COS-7 cells expressing CRY2-5-ptaseOCRL,
CIBN-CAAX and iRFP-PH-PLCδ1
were imaged with TIRF microscopy. In control cells, pre-incubated
for 15 min with 0.5% DMSO, blue-light illumination (488-nm, 50 pulses,
200 ms duration, 4 s intervals) delivered through the evanescent field
resulted in rapid (t1/2 = 18 ± 3s, n = 14 cells)
and pronounced (52 ± 5%, n = 14 cells) loss
of iRFP-PH-PLCδ1 fluorescence, reflecting primarily plasma membrane
associated fluorescence (Figure 5a). Interruption
of the illumination resulted in redistribution of the biosensor back
to the plasma membrane (t1/2 = 480 ± 50 s, n = 11 cells), indicating resynthesis of PI(4,5)P2. When
the experiment was repeated in the presence of 50 μM YU142670
(Figure 5b), blue-light illumination still
caused a rapid (t1/2 = 25 ± 4 s, n = 14 cells)
drop in plasma membrane iRFP-PH-PLCδ1 fluorescence, but this
drop was less pronounced (32 ± 3%, n = 14 cells, P < 0.001). Furthermore, interruption of the illumination
resulted in a faster recovery of plasma membrane iRFP-PH-PLCδ1
fluorescence (t1/2 = 180 ± 23 s, n = 13 cells, P < 0.001) relative to controls, indicating that resynthesis
of PI(4,5)P2 was accelerated compared to control cells.
This is consistent with an inhibition of endogenous OCRL.
Figure 5
YU142670 efficacy in situ. (a) Representative
timecourse of PI(4,5)P2 depletion following light-induced
recruitment (t = 0 s) of the catalytic domain of
OCRL to the plasma membrane of COS-7 cells using a blue light dependent
heterodimeric system and iRFP-PH-PLCδ1 as a PI(4,5)P2 reporter (TIRF microscopy). Cells were treated with 0.5% DMSO (control)
or 50 μM YU142670. Scale bars are 10 μM. (b) Example traces
are shown for the experiment in a. (c and d) Normalized average traces
and maximal translocation from the recording of 14 cells. (e and f)
t1/2 of the loss and recovery of PI(4,5)P2 levels (as detected by
iRFP-PH-PLCδ1 fluorescence), which are consistent with OCRL
inhibition.
YU142670 efficacy in situ. (a) Representative
timecourse of PI(4,5)P2 depletion following light-induced
recruitment (t = 0 s) of the catalytic domain of
OCRL to the plasma membrane of COS-7 cells using a blue light dependent
heterodimeric system and iRFP-PH-PLCδ1 as a PI(4,5)P2 reporter (TIRF microscopy). Cells were treated with 0.5% DMSO (control)
or 50 μM YU142670. Scale bars are 10 μM. (b) Example traces
are shown for the experiment in a. (c and d) Normalized average traces
and maximal translocation from the recording of 14 cells. (e and f)
t1/2 of the loss and recovery of PI(4,5)P2 levels (as detected by
iRFP-PH-PLCδ1 fluorescence), which are consistent with OCRL
inhibition.Finally, we examined
the impact of YU142670 on endogenous phosphoinositide
levels in human dermal fibroblasts after 3H-myo-inositol
labeling and HPLC analysis of phosphoinositide species. Following
a 1 h treatment with 50 μM YU142670, increased levels of PI(4,5)P2, leading to an increased PI(4,5)P2/PI4P ratio,
was observed (see Figure 6a for two representative
traces and Figure 6b for average ratios). In
samples treated with YU142670 (n = 6) the PI(4,5)P2/PI4P ratio increased 50% (p value of 0.0004)(Figure 6B). All other phosphoinositide levels measured remained
unchanged (Figure 6a)
Figure 6
Ratio of PI(4,5)P2 to PI4P levels increase upon treatment
of human dermal fibroblasts with 50 μM YU142670. Top: representative
HPLC run after addition of 0.5% DMSO or YU142670 in 0.5% DMSO showing
peaks derived from 3H-myo-inositol labeled inositol phospholipids.
Bottom: quantitation of PI(4)P/PI(4,5)P2 ration. Error
bars indicate standard deviation.
Ratio of PI(4,5)P2 to PI4P levels increase upon treatment
of human dermal fibroblasts with 50 μM YU142670. Top: representative
HPLC run after addition of 0.5% DMSO or YU142670 in 0.5% DMSO showing
peaks derived from 3H-myo-inositol labeled inositol phospholipids.
Bottom: quantitation of PI(4)P/PI(4,5)P2 ration. Error
bars indicate standard deviation.In conclusion, in three separate assay systems, we observe
changes
in the cortical cytoskeleton, PI(4,5)P2 biosensor signal,
and endogenous PI(4,5)P2 levels that are consistent with
a specific action of this compound on OCRL/INPP5B activity.
Concluding
Remarks
Here, we describe an efficient method
for high-throughput screening of modulators of the inositol 5-phosphatases,
and identify a small molecule inhibitor for OCRL and INPP5B. The identification
of the first compound with selective activity toward OCRL/INPP5B exemplifies
the power of our screening strategy. This inhibitor has modest efficacy,
and thus this study is a starting point for the design and selection
of more potent inhibitors.Our strategy utilized three separate
assays formats: a fluorescence polarization assay which was highly
sensitive but could be biased by compound interference, a much less
sensitive malachite green assay, and a mobility shift assay which
separated the reaction product from the compound, thus removing artifacts
due to compound interference. We leveraged the malachite green and
mobility shift assays to detect effects of substrate composition on
compound efficacy. In addition, we tested representative members of
major structural sub-classes among the 5-phosphatases, thus gaining
knowledge of specificity and selectivity, useful information toward
reducing potential off-target effects. Importantly, the assays employed
in this study could be applied to other phosphoinositide phosphorylating
and dephosphorylating enzymes.We focused our primary screen
on Synaptojanin 1 and OCRL, and identified
two scaffolds with distinct specificity profiles. The first scaffold
was specific for OCRL/INPP5B, with no activity against the other 5-phosphatases
tested in this study. A representative compound from this class (YU142670)
increased the levels of PI(4,5)P2 in mouse embryonic fibroblasts
or human dermal fibroblasts and inhibited the activity of over-expressed
human OCRL in Cos-7 cells.ITC experiments verified a direct
interaction between YU142670
and the catalytic domain of INPP5B. This compound inhibited reactions
utilizing all substrates of OCRL and INPP5B, irrespective of lipid
chain length or phosphorylation of the 3′ position of the inositol
ring. Given its effects in cells, it is also inhibitory when OCRL/INPP5B
acts on the membrane bilayer. It will be interesting to determine
how this compound inhibits enzyme activity, as it likely hits a unique
feature of OCRL/INPP5B not present in other 5-phosphatases. Conversely,
the second class of compounds inhibited all 5-phosphatases tested
and displayed significant cellular toxicity (data not shown).Modulators of the inositol 5-phosphatases could have diverse applications,
both in basic research and in the clinic. Phosphoinositide metabolism
is often targeted by pathogens.[27] OCRL
and INPP5B reside on the earliest endocytic compartments,[28] and their activity is important, for example,
in phagosome maturation,[29] a mechanism
by which pathogens can gain entry. Accordingly, the regulation of
PI(4,5)P2 (and therefore actin polymerization) by OCRL
and INPP5B has been implicated in the infectivity of several pathogens,
although the specific requirements of OCRL/INPP5B activity varies
with the pathogen studied. Depletion of OCRL/INPP5B activity has been
linked to a reduction in the inclusion formation of chlamydiae.[30] Similarly, in a genome-wide RNAi screen
in Listeria monocytogenes, knockdown of OCRL led
to decreased entry, reduced vaculor escape, and less intracellular
growth.[31] The catalytic activity of OCRL
and INPP5B has also been implicated in Yersinia invasion.[32] Thus, the inhibition of OCRL/INPP5B may be of
benefit in protection against pathogen entry.Concerning other
5-phosphatases, it was reported that decreased
levels of synaptojanin 1, a condition that impacts neuronal PI(4,5)P2, may have a protective effect on nervous tissue impairment
in a mouse model of Alzheimer’s disease.[33,34] Furthermore, a chronic steady state decrease of PI(4,5)P2 levels (due to enhanced expression of synaptojanin 1) may cooperate
with the enhanced expression of the Aβ peptide precursor, APP,
in the onset of early Alzheimer’s disease that occurs in all
Down’s syndrome patients.[35]Other conditions reflect an absence of specific 5-phosphatases,
and thus, the design of activators of these enzymes might have more
generalized therapeutic value. This could be of benefit, for instance,
in the treatment of selected cases of Lowe Syndrome due to destabilizing
missense mutations in OCRL that may be rescued by chemical chaperones.
More importantly, an activator of OCRL/INPP5B might allow for better
compensation of OCRL function by INPP5B, and thus some alleviation
of symptoms. Additionally, as PI(4,5)P2 pools controlled by different
5-phosphatases partially overlap, impaired function of a 5-phosphatase
could be partially rescued by the activation of others.In summary,
our strategy utilizes the major structural classes
of this enzyme family, and provides a means for testing substrate
selectivity. Additionally, we have identified two novel inhibitor
classes that could serve as a starting point for the design of more
pharmacologically desirable inhibitors.
Methods
Fluorescence
Polarization Assay
Enzyme (10 μL)
(see SI Table 2 for final enzyme concentrations)
and 10 μL of PI(3,4 5)P3 lipid substrate were added
to the assay plate (final concentration of 2.5 μM substrate).
The reaction was stopped by adding 10 μL of detection mix (50
nM GST-TAPP1, 10 nM GloPIPs BODIPY TMR-PI(3,4)P2, 20 mM
EDTA, final assay concentrations). Fluorescence polarization was read
on an Envision plate reader (PerkinElmer) at 531/595 nm excitation/emission.
Malachite Green Assay
Enzyme (10 μL) (see SI Table 2 for final enzyme concentrations) and
10 μL of PI(4 5)P2 lipid substrate were added to
the assay plate (final 25 μM substrate). The reaction was stopped
by adding 40 μL of malachite green solution +0.01% w/v Tween20.
Absorbance was read on an Envision plate reader (PerkinElmer) at 620
nm.
Mobility Shift Assay
Enzyme (10 μL) (see SI Table 2 for final enzyme concentrations) and
10 μL of PI(3,4 5)P3 -fluorescein substrate were
added to the assay plate (final concentration of 1 μM). Assay
plates were incubated for 30 min at RT for hit pick assays, see SI Table 2 for conditions for dose response curves.
The reaction was stopped by adding 1 μL of 500 mM EDTA using
a MultiChannel Pipettor and heating to 65 °C for 10 min. The
shift in electrophoretic mobility caused by removal of the phosphate
group from the fluorescent substrate was detected using a LabChip
EZReader (Caliper LifeSciences). The percent conversion of substrate
to product for each well is calculated from the relative heights of
the substrate and product peaks.
Authors: Todd Rowe; Clarence Hale; Aileen Zhou; Robert J M Kurzeja; Arisha Ali; Anthony Menjares; Minghan Wang; John D McCarter Journal: Assay Drug Dev Technol Date: 2006-04 Impact factor: 1.738
Authors: Christopher J Ong; Andrew Ming-Lum; Matt Nodwell; Ali Ghanipour; Lu Yang; David E Williams; Joseph Kim; Loutfig Demirjian; Pooran Qasimi; Jens Ruschmann; Li-Ping Cao; Kewei Ma; Stephen W Chung; Vincent Duronio; Raymond J Andersen; Gerald Krystal; Alice L-F Mui Journal: Blood Date: 2007-05-14 Impact factor: 22.113
Authors: Helen Sarantis; Daniel M Balkin; Pietro De Camilli; Ralph R Isberg; John H Brumell; Sergio Grinstein Journal: Cell Host Microbe Date: 2012-02-16 Impact factor: 21.023
Authors: Shanshan Cui; Christopher J Guerriero; Christina M Szalinski; Carol L Kinlough; Rebecca P Hughey; Ora A Weisz Journal: Am J Physiol Renal Physiol Date: 2009-11-25
Authors: Xinming Cai; Yongyao Xu; Atwood K Cheung; Ronald C Tomlinson; Abel Alcázar-Román; Leon Murphy; Andreas Billich; Bailin Zhang; Yan Feng; Martin Klumpp; Jean-Michel Rondeau; Aleem N Fazal; Christopher J Wilson; Vic Myer; Gerard Joberty; Tewis Bouwmeester; Mark A Labow; Peter M Finan; Jeffrey A Porter; Hidde L Ploegh; Daniel Baird; Pietro De Camilli; John A Tallarico; Qian Huang Journal: Chem Biol Date: 2013-07-25
Authors: Diego E Berman; Claudia Dall'Armi; Sergey V Voronov; Laura Beth J McIntire; Hong Zhang; Ann Z Moore; Agniezka Staniszewski; Ottavio Arancio; Tae-Wan Kim; Gilbert Di Paolo Journal: Nat Neurosci Date: 2008-04-06 Impact factor: 24.884
Authors: Sandra Hakim; Micka C Bertucci; Sarah E Conduit; David L Vuong; Christina A Mitchell Journal: Curr Top Microbiol Immunol Date: 2012 Impact factor: 4.291
Authors: O Cremona; G Di Paolo; M R Wenk; A Lüthi; W T Kim; K Takei; L Daniell; Y Nemoto; S B Shears; R A Flavell; D A McCormick; P De Camilli Journal: Cell Date: 1999-10-15 Impact factor: 41.582
Authors: Matthew D Hall; Adam Yasgar; Tyler Peryea; John C Braisted; Ajit Jadhav; Anton Simeonov; Nathan P Coussens Journal: Methods Appl Fluoresc Date: 2016-04-28 Impact factor: 3.009
Authors: Charlotte F Kelley; Emily M Messelaar; Tania L Eskin; Shiyu Wang; Kangkang Song; Kalanit Vishnia; Agata N Becalska; Oleg Shupliakov; Michael F Hagan; Dganit Danino; Olga S Sokolova; Daniela Nicastro; Avital A Rodal Journal: Cell Rep Date: 2015-12-10 Impact factor: 9.423
Authors: Ryan H Moy; Alexander Nguyen; Jia Min Loo; Norihiro Yamaguchi; Christina M Kajba; Balaji Santhanam; Benjamin N Ostendorf; Y Gloria Wu; Saeed Tavazoie; Sohail F Tavazoie Journal: Dev Cell Date: 2022-04-28 Impact factor: 13.417