Results
Piezo ion channels potentiate and modulate TREK1 mechanosensitive currents
We hypothesized that Piezo1 ion channels are capable of conformational signaling. To test this,
we turned to the intriguing finding by Glogowska and colleagues that Piezo1 potentiates TREK1,
and first aimed to reproduce this finding and carefully validate our model system and
protocols27. Specifically, we transfected Neuro2A cells lacking endogenous Piezo1 expression
(Neuro2A-Piezo1ko) with mouse TREK1, mouse Piezo1, or both constructs combined, and
recorded currents via cell-attached patch clamp electrophysiology. To isolate currents mediated
by TREK1 and Piezo1, we recorded at holding potentials of -80 mV or 0 mV, which we validated
are near their respective reversal potentials (Figure S1, see Methods). Mechanical sensitivity
was probed by applying brief negative pressure steps through the patch pipette; for simplicity, in
the main text we report current properties at -80 mmHg, where both TREK1 and Piezo1 currents
are maximal. When expressing Piezo1 alone, outward currents at 0 mV were negligible (median
current: 2.4 pA (1st-3rd quartiles: 2.1 ー 4.1 pA, n=25) and when expressing TREK1 alone,
inward currents at -80 mV were similarly small (-5.9 pA (-5.2 ー -7.1 pA, n=58); Figure 1A-E).
Such minor current amplitudes likely result from seal noise as well as small changes in leak and
capacitance during the pressure step28,29, and indirectly confirm that Neuro2A-Piezo1ko cells do
not endogenously express Piezo or K2P channels and are a suitable background for our
experiments.
Co-expression of Piezo1 strongly modulates TREK1 currents in several ways27. First, TREK1
peak currents increased from 18.3 pA (7.0 ー 38.9 pA, n=58) in the absence of Piezo1 to 94.3
pA (51.4 ー 200.0 pA, n=121) in the presence of Piezo1, a more than 5-fold increase (Figure
1B-C,F). Second, TREK1 steady-state currents, which characterize the extent of inactivation,
were small in the absence of Piezo1 (5.1% (3.0 ー 10.9%, n=24)), but prominent when Piezo1
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was co-expressed (77.9% (65.1 ー 88.1%, n=106); Figure 1G). Third, co-expression of Piezo1
delayed the time for TREK1 currents to reach their peak. Specifically, 10-90% rise times were
slowed from 12.3 ms (10.5 ー 18.4 ms, n=25) to 64.6 ms (31.0 ー 95.2 ms, n=106) (Figure 1H).
However, when we averaged all baseline-subtracted raw currents, we noticed that Piezo1 in fact
accelerates the onset of TREK1 currents (Figure S2). We speculate that much of the delayed
time-to-peak in the presence of Piezo1 results from the near lack of TREK1 inactivation: the
prolonged TREK1 open times will necessarily lengthen the total rising phase of the current. We
therefore chose to limit all subsequent analyses to the effects of Piezo1 on TREK1 current
amplitudes and steady-state currents. As a first conclusion, our experiments fully recapitulated
and confirmed the results from Glogowska and colleagues that Piezo1 has a profound
modulatory effect on TREK127.
As a first step to probe our hypothesis that Piezo1 modulates TREK1 through conformational
signaling, we investigated the single Piezo family member from Drosophila melanogaster (fly
Piezo), which shares only ~30% sequence identity with mouse Piezo130,31. Fly Piezo has a 5-
fold smaller single-channel conductance than mouse Piezo1, and correspondingly 5-fold smaller
macroscopic currents, such that the two orthologs express at similar densities (Figure S3; see
Methods). We therefore reasoned that fly Piezo may provide us with initial mechanistic clues
about the relative importance of structural conformation versus ion permeation. To our surprise,
co-expression of fly Piezo potentiated TREK1 current amplitudes even more substantially than
did mouse Piezo1. The effect was pronounced and increased with pressure, reaching an almost
15-fold potentiation at -80 mmHg (TREK1 alone: 18.3 pA (7.0 ー 38.9 pA, n=58); TREK1 + fly
Piezo: 204.5 pA (57.8 ー 602.0 pA, n=85); Figure 2A-D,F). Fly Piezo also increased TREK1
steady-state currents to a similar extent (TREK1 alone: 5.1% (3.0 ー 10.9%, n=24); TREK1 + fly
Piezo: 85.3% (66.8 ー 93.3%, n=80); Figure 2A,E). These data show that fly Piezo promotes
TREK1 opening more strongly, and further, that mouse Piezo1 does not fully saturate the extent
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of TREK1 modulation. The result also supports our initial hypothesis that Piezo conformation
may play a greater role than permeation in modulating TREK1, further motivating us to test their
respective importance more carefully.
Piezo1 modulation of TREK1 signaling is independent of ion permeation
We first focused on Piezo1 ion permeation. Glogowska and colleagues already demonstrated
that TREK1 modulation persists under conditions of zero net ion flow through Piezo1 and in the
absence of calcium ions27. However, to test our hypothesis we needed to carefully quantify how
the extent of modulation varied with ionic species; specifically, we focused on calcium, which
regulates many cellular processes, including metabolism of phosphoinositides and other lipids,
any of which could modulate TREK1 activity32,33.
To this end, we first used a previously described set of mutations (SNCISESEE-9K; Piezo19K)
that line the intracellular lateral portals of the channel and increase the relative permeability of
chloride (PCl/PNa) 50-fold, thus turning Piezo1 into a chloride-selective channel and virtually
eliminating cation permeation12 (Figure S4A). Stretch-activated currents through Piezo19K at -80
mV were small compared to wild-type Piezo1 (Piezo1 alone: -115.5 pA (-75.8 ー -140.7 pA, n=
25); Piezo19K alone: -19.6 pA (-14.8 ー -28.5 pA, n=12); Figure 3A, C-D). Importantly, Piezo19K
currents reversed near 0 mV (-7.1±1.3 mV, n=10; Figure S4B-C), such that TREK1 currents at
this potential remain largely uncontaminated by Piezo19K currents.
Despite the reduced amplitudes of Piezo-mediated currents elicited in cells expressing Piezo19K,
TREK1 currents were potentiated equivalently to cells expressing wild-type Piezo1. Specifically,
TREK1 peak current amplitudes were potentiated ~7-fold (TREK1 + Piezo19K: 103.5 pA (54.2 ー
185.5 pA, n=24); Figure 3A-B,F), and steady-state currents were increased substantially
(TREK1 + Piezo19K: 64.4% (33.3 ー 86.5%, n=22); Figure 3E). This finding further confirms that
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the drastically reduced permeation of cations, including calcium, does not prevent Piezo19K from
modulating TREK1.
To further rule out additional potential sources of extracellular calcium that may exist
downstream of Piezo activity, we also replaced 1 mM Ca2+ in our standard pipette solution with
1 mM Mg2+. In the absence of extracellular calcium, TREK1 current amplitudes were still
potentiated ~4 fold by Piezo1, from 15.3 pA (9.6 ー 52.3 pA, n=13) to 67.2 pA (31.0 ー 145.0
pA, n=22) (Figure 3A-D,F). Similarly, Piezo1 co-expression increased TREK1 steady-state
currents from 6.1% (3.5 ー 27.7%, n=5) to 74.3% (38.5 ー 87.0%, n=19) (Figure 3E). We
therefore conclude that the magnitude of the modulatory effect does not depend on the number
and/or species of ions permeating Piezo1.
Piezo1 conformational flexibility is specifically required for TREK1 modulation
We next focused on Piezo1 conformational changes. Structural studies have revealed two
principal gating motions of Piezo channels: a flattening of the blades and a rotation of the
cap19,20,34,35. As a means to acutely control both gating motions, we turned to two double-
cysteine mutants we had previously engineered and characterized in detail (Figure 4A), in
which mechanical gating can be controlled chemically36. The first construct (Piezo1RE-CC) allows
the formation of intersubunit disulfide bonds between the blade (R1761C) and the cap
(E2257C): In the absence of DTT the residues are cross-linked, which completely prevents
channel gating, but in the presence of DTT this bond is reduced and the protein functions
normally. Because our previous characterization of Piezo1RE-CC was performed with poke
stimulation, we additionally confirmed that the chemical control of Piezo1RE-CC gating is
maintained with pressure clamp stimulation (Figure 4B,F; see Methods). In addition, we
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validated that DTT did not affect either TREK1 or wild-type Piezo1 currents, or the ability of wild-
type Piezo1 to potentiate TREK1 (Figure 4D-E).
We then used the chemical control of Piezo1RE-CC to probe the effects of acutely restricting
conformational flexibility on its ability to potentiate TREK1. In the absence of DTT, TREK1 peak
currents were small (16.9 pA (8.5 ー 40.6 pA, n=23)) and inactivated nearly completely
(steady-state current: 5.9% (4.8 ー 7.4%, n=11); Figure 4B,G-I). However, in the presence of
10 mM DTT, TREK1 peak currents were again potentiated ~5-fold and inactivation was
substantially reduced (peak current: 87.9 pA (48.0 ー 181.0 pA, n=21), steady-state current:
29.8% (19.2 ー 48.7%, n=16); Figure 4B,G-J). Altogether, since Piezo1RE-CC gates nearly
instantaneously upon application of DTT, we conclude that conformational flexibility between the
cap and blades is required for modulation of TREK1.
We also tested a second construct (Piezo1AP-CC), which allows the formation of intersubunit
disulfide bonds between two loops at the base of the cap (Figure 4A)36. When co-expressed
with Piezo1AP-CC, TREK1 currents in the absence of DTT were small (16.5 pA (5.9ー31.0 pA;
n=26)) and had small steady-state currents (12.7% (7.6 ー 22.4%; n=10)), consistent with the
restricted conformational flexibility of Piezo1AP-CC (Figure 4C,G-I). However, as expected,
inclusion of DTT in the patch pipette restored potentiation of TREK1 peak currents nearly
equivalently to wild-type Piezo1 (TREK1 peak current: 93.8 pA (36.5ー307 pA; n=26);
steady-state current: 68.8% (23.7 ー 87.3%; n=22); Figure 4G-J).
Together, these experiments demonstrate that full conformational flexibility, including free
movement within the cap and the flattening of the blades, is required for Piezo1 to potentiate
TREK1. Further, we conclude that Piezo1 exerts its effects on TREK1 rapidly (i.e., within
seconds or faster) and not through chronic effects of Piezo1 expression on cell function.
Altogether, our results thus far demonstrate that Piezo1 fulfills the hallmark of conformational
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signaling: conformational changes alone, in the absence of ion permeation, can acutely affect
other proteins.
Piezo1 and TREK1 are not close enough to bind
What mechanism may underlie Piezo1 conformational signaling? Cav1.2 calcium channels and
NMDA receptors achieve conformational signaling by direct binding to downstream targets14,16.
Further, confocal imaging and pull-down assays suggested that TREK1 and Piezo1 can
physically interact when both are overexpressed at high levels27. We therefore hypothesized
that Piezo conformational signaling may likewise require close association. To test carefully
whether TREK1 channels and Piezo1 channels co-localize, a prerequisite for binding, we used
stimulated emission-depletion (STED) microscopy to visualize their spatial distributions with
super-resolution precision (~80 nm; see Methods). We reasoned that endogenous levels of
Piezo1 expression would be ideal for this query, as at low densities, in the absence of binding or
other attractive force between the channels, co-localization is unlikely. To this end, we used
CRISPR/Cas9 technology to insert an extracellular Myc tag into the Piezo1 gene in Neuro2A
cells, which endogenously express Piezo1 at a relatively low density of ~1-2 channels/μm2
(Neuro2A-Piezo1Myc cells, Figure S5A-G)28,37. To visualize TREK1 channels, we inserted an
extracellular HA tag into the TREK1 plasmid (TREK1HA; Figure S6A-C). In this construct,
pressure-evoked peak current amplitudes were slightly smaller than for wild-type TREK1
(TREK1HA: 6.8 pA (4.6 ー 14.1 pA, n=26)), potentially reflecting reduced expression levels, but
were potentiated by Piezo1 to a similar extent (TREK1HA + Piezo1: 53.0 pA (25.7 ー 83.5 pA,
n=26)), thus justifying the utility of this construct for investigating the mechanism underlying
TREK1 potentiation (Figure S6D-H).
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We then performed two-color STED microscopy on Neuro2A-Piezo1Myc cells expressing
TREK1HA. None of the images we collected showed an obvious manifestation of co-localization
of TREK1HA and Piezo1Myc (Figure 5A). To quantify co-localization in an unbiased manner, we
segmented STED images to obtain precise locations of individual TREK1HA and Piezo1Myc
puncta and calculated the nearest-neighbor distance from the center of mass coordinates of
each Piezo1 punctum to the nearest TREK1 punctum (NNDP1-T1) (Figure 5A-B; Supplemental
Table 1). To carefully probe for any hint of binding, we reasoned that if TREK1 channels were
binding Piezo1 channels, the absolute maximum center of mass separation would be no larger
than 30 nm (see Methods). Importantly, when we examined all Piezo1 puncta across three
cells, only 1.2% of Piezo1 puncta had at least one TREK1 punctum within 30 nm (7 of 580
puncta; Supplemental Table 1). Further, when we closely inspected NNDP1-T1 histograms, there
was no hint of overrepresentation in any bin under 100 nm, which we would have expected if
channels were bound (Figure 5C). Thus, on average, even when TREK1 channels are in
excess, the vast majority of TREK1 and Piezo1 channels are not near each other on a
molecular scale; i.e., the channels do not bind at these densities.
TREK1 potentiation scales with Piezo1 density
As an alternative mechanism to direct binding, we hypothesized that a footprint-mediated
mechanism could enable Piezo1 to modulate TREK1 activity over moderate distances. The
estimated characteristic decay length of the Piezo footprint in a typical biological membrane is
~14 nm, meaning the footprint may extend over a distance as far as ~100 nm from the central
pore24,28 (see Methods). If Piezo1 conformational signaling is mediated by its extended
membrane footprint, then the magnitude of TREK1 potentiation should scale with increasing
Piezo1 density, as more TREK1 channels will be located within a Piezo1 footprint. Indeed, we
found that in wild-type Neuro2A cells, which natively express Piezo1 at low levels (1-2
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channels/m2)28, TREK1 potentiation is very modest (peak current: 114 pA vs 18 pA, p<0.001;
steady-state current: 17.0% vs 5.1%, n=58,34, p<0.001; Figure 6A-C). To quantify more
precisely how TREK1 modulation depends on Piezo1 membrane density, we next analyzed
patches from Neuro2A-Piezo1ko cells in which both Piezo1 and TREK1 were overexpressed
(Figure 1). Specifically, we calculated the number of Piezo1 and TREK1 channels in each patch
from their macroscopic and single channel currents, then divided this value by the patch surface
area to obtain channel densities (see Methods). We found that TREK1 densities and TREK1
steady-state currents both scale with Piezo1 density, showing a baseline (no substantial
modulation) below ~2 Piezo1 channels/m2, half-maximal modulation at ~5-7 Piezo1
channels/m2, and saturation beyond ~10 Piezo1 channels/m2 (Figure 6D-F).
To interpret this result, we next turned to stochastic simulations to calculate the predicted
nearest-neighbor distance for randomly placed TREK1 channels to their nearest Piezo1 channel
(NNDT1-P1) as a function of Piezo1 density. If TREK1 and Piezo1 are separated over >100 nm at
a given density, any footprint-mediated mechanism would be implausible. At low Piezo1
densities, channels are predicted to be spatially separated: the simulations yielded that at a
Piezo1 density of 1 channel/m2, a TREK channel will have a median NNDT1-P1 of 472 nm from
its nearest Piezo1 channel and have only a 3% chance of residing within 100 nm of a Piezo1
channel (i.e., within its extended membrane footprint). However, at Piezo1 densities that
saturate TREK1 potentiation (10 channels/m2), NNDT1-P1 decreases to 148 nm and a TREK
channel has a 27% chance of residing within 100 nm of a Piezo1 channel (Figure 6G-H). These
Method
DETAILS
Cell culture and plasmids
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TREK1HA was generated by inserting an HA tag (YPYDVPDYA) immediately following residue
N134 in the loop connecting the cap and P1 helix using the Q5 mutagenesis kit (New England
Biosciences) following the manufacturer’s protocol for large insertions using non-overlapping
primers and was sequence-verified (Genewiz). Mouse Piezo1Myc has a Myc tag (EQKLISEEDL)
immediately following residue 2422, and displays normal mechanosensitivity, as previously
described37. To measure membrane expression levels of Piezo constructs, a Myc tag was
inserted into the same location of Piezo1RE-CC, Piezo1AP-CC, and Piezo19K; additionally, a stop
codon was inserted at the end of the Piezo19K coding sequence to stop expression of the
mRuby fusion protein and avoid spectral overall with the secondary antibody. Fly PiezoMyc2325
was generated by inserting a Myc tag immediately following residue N2325 and had normal
mechanosensitivity (Figure S8A-C). Details and sources for all other plasmids are in the Key
Resources Table.
For electrophysiology, Neuro2A-Piezo1ko cells were transiently transfected 40-48 hours prior to
recording in 6-well plates using Lipofectamine 2000 (Thermo Fisher Scientific) according to the
manufacturer’s protocol. A total of 4 g of plasmid DNA was used for each transfection: 4 g
TREK1 alone, 4 g Piezo construct alone, or 0.75 g TREK1 + 3.25 g Piezo construct.
Transfected cells were reseeded onto poly-L-lysine- and laminin-coated coverslips 16-24 hours
before recording. For imaging, 48 hours before immunocytochemistry, Neuro2A-Piezo1Myc or
Neuro2A-Piezo1ko cells were plated in 24-well plates on poly-L-lysine- and laminin-coated No.
1.5 coverslips (Warner Instruments, 64-0732) and transfected with Lipofectamine 2000
according to the manufacturer’s protocol with either 200 ng TREK1HA or 200 ng GFP (Neuro2A-
Piezo1Myc) or 150 ng TREK1HA and 650 ng Piezo1Myc.
Electrophysiology
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Electrophysiological recordings were performed at room temperature using an EPC10 amplifier
and Patchmaster software (HEKA Elektronik). Data were sampled at 10 kHz and filtered at 2.9
kHz for all experiments except measurements of single-channel conductance of TREK1 and fly
Piezo, which were sampled at 50 kHz and 100 kHz respectively, filtered at 2.9 kHz during
recording, then digitally filtered offline at 1 kHz prior to analysis. The cell-attached bath solution
used to zero the membrane potential was (in mM): 155 KCl, 3 MgCl2, 5 EGTA, 10 HEPES, pH
7.35 with NaOH. Borosilicate glass pipettes (1.5 OD, 0.85 ID, Sutter Instrument Company) were
filled with pipette buffer solution (in mM): 150 NaCl, 5 KCl, 2 CaCl2, 1 MgCl2, 10 HEPES, pH 7.3
with NaOH and had resistances ranging between 1.3-3 MΩ (mean±S.D. = 2.1±0.3 MΩ). In these
buffers, assuming an intracellular K+ concentration of 120 mM, the predicted reversal potential
for K+ is -81.6 mV. The measured reversal potential for TREK1, generated from patches with at
least 100 pA of outward current at +60 mV to avoid leak effects, was -60.3±4.8 mV (n=8, Figure
S1B-C); however, inward currents through TREK1 channels at -80 mV were negligible (5-10 pA,
Figure 1). Negative pressure was applied through the patch pipette with an amplifier-controlled
high-speed pressure clamp system (HSPC-1; ALA Scientific Instruments). Mechanical
sensitivity was probed by applying brief (250 ms) pressure steps from 0 to -80 mmHg (Δ = -10
mmHg). All pressure steps were separated by 10 s to allow for recovery from inactivation.
Voltage during the pressure steps was alternated between -80 mV and 0 mV at each pressure
level.
For experiments involving breaking of double-cysteine bonds, 10 mM dithiothreitol (DTT) was
included in the pipette solution. DTT was kept on ice and made fresh from frozen stock (1 M)
hourly. The chemical control of double-cysteine mutants we previously observed using poke
stimulation was maintained using pressure-clamp stimulation: In cells transfected with
Piezo1RE-CC or Piezo1AP-CC, stretch-activated currents at -80 mV were not larger than in cells
transfected with TREK1 alone (TREK1 alone: -5.9 pA (-5.2 ー -7.1 pA, n=58); TREK1 +
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Piezo1AP-CC: -5.9 pA (-4.7 ー -7.3 pA, n=23); TREK1 + Piezo1RE-CC: -6.0 pA (-5.4 ー -8.4 pA,
n=26); Figure 4B-C), which is consistent with the newly introduced disulfide bond preventing
Piezo channels from gating. However, inclusion of 10 mM DTT in the patch pipette resulted in
large stretch-activated currents through both Piezo1RE-CC and Piezo1AP-CC (TREK1 + Piezo1RE-CC
+ DTT: -41.3 pA (-23.2 ー -63.3 pA, n=21); TREK1 + Piezo1AP-CC: 82.3 pA (-45.0 ー -125.0 pA;
n=26; Figure 4G).
Microscopy sample preparation
Cells were transiently transfected with TREK1HA and/or Piezo1Myc plasmids and plated on No 1.5
coverslips (Warner Instruments: CS-12R15, Catalog # 64-0712) 48 hours before staining, fixed
in 2% formaldehyde, blocked with 10% normal goat serum, and stained with 1:100 chicken anti-
Myc (Novus) primary antibody followed by 1:500 Alexa Fluor plus 594 goat anti-chicken
(Thermo Fisher Scientific) secondary antibody to label Piezo1Myc channels and 1:500 rabbit anti-
HA (Cell Signaling Technology) primary antibody followed by 1:200 Atto 647N goat anti-rabbit
(Rockland Instruments) secondary antibody to label TREK1HA channels. Coverslips were then
mounted with ProLong Glass Antifade Mountant (ThermoFisher Scientific) and cured at room
temperature overnight before image acquisition. STED images were collected from at least
three coverslips per condition, with n=3 independent transfections to generate biological
replicates.
STED image acquisition and deconvolution
Two-color STED was performed on co-labeled images of either Neuro2A-Piezo1ko cells
overexpressing Piezo1Myc or Neuro2A-Piezo1Myc cells, both transiently transfected with
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TREK1HA. All image collection was performed on a Leica SP8 instrument equipped with a
100x/1.4 HCX PL APO OIL WD 90 m objective, pulsed White Light Laser, and HyD detectors,
using Leica Application Suite Software (3.5). The 594 red channel, corresponding to Piezo1Myc,
was excited using 5% laser power at 591 nm, and emitted light was collected between 603 and
641 nm with 22% gain. The 647 far red channel, corresponding to TREK1HA, was excited using
3% laser power at 641 nm and emitted light was collected between 651 and 779 nm with 42%
gain. The 647 channel was collected using 2x frame averaging, to reduce noise. A pulsed 775
nm STED depletion laser at 20% laser power in the 647 channel, with gating (0.7 to 4.2), and
70% laser power in 594 channel, with gating (0.7 to 4.2), was used to improve image resolution
to ~80 nm (Supplemental Table 1-2). For STED image collection, Z-stacks were acquired from
the middle to the top of the cell in steps of 220 nm with a Märzhäuser linearly encoded piezo Z
stage (Supplemental Movie 1).
All channels from the STED images were deconvolved using Huygen’s Professional (Scientific
Volume Imaging). The refractive index was corrected to match the immersion oil (1.5) and
images were cropped as necessary to isolate single cells. Deconvolution was then performed
with an automatically generated theoretical point spread function and the preset Classic
Maximum Likelihood Estimation CMLE deconvolution algorithm, with the signal-to-noise ratio
set to 5.0.
Confocal microscopy image acquisition
Confocal imaging was used to assess antibody specificity (Figure S5F-I, Figure S6B-C) and
quantify membrane expression levels of all Myc-tagged Piezo constructs (Figure S8D-E).
Antibody specificity was assessed using widefield confocal images at 100X magnification
acquired with the same objective, excitation and emission collection parameters as STED
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images, as described above, but without depletion. For membrane expression quantification,
images were acquired using an HC PL APO CS2 40x/1.30 Oil objective on the above described
Leica SP8 scope. The 594 red channel, corresponding to Piezo1Myc, was collected using 5%
laser power at 591 nm, and emitted light was collected between 603 and 641 nm with 13% gain.
The 488 green channel, corresponding to GFP, was collected using 7% laser power at 490 nm,
and emitted light was collected between 501 and 561 nm with 52% gain. Single Z-slices of the
central plane, the midpoint of most cells in a field view, were collected over ~12 images, yielding
approximately 200 cells per condition.
Western Blot
The membrane fraction was isolated from Neuro2A cells using the ProteoExtract® Subcellular
Proteome Extraction Kit (Sigma) and concentrated to 1-2 mg/mL using a PierceTM concentrator
(3K molecular weight cutoff; ThermoFisher Scientific). 50 g of protein was loaded in each well
of a 4-20% precast polyacrylamide gel (BioRad). Gels were transferred (1.5 A for 15 minutes)
using the Trans-blot Turbo semi-dry transfer system (BioRad) onto a 0.2 m PVDF membrane.
To visualize Piezo1Myc, blots were stained with 1:750 chicken anti-myc (Novus) primary antibody
followed by 1:2,000 Goat Anti-Chicken horseradish peroxidase (Novex) secondary antibody and
visualized via enhanced chemiluminescence (ECL) with SuperSignal™ West Femto Maximum
Sensitivity Substrate (ThermoFisher Scientific). To visualize the transferrin loading control, blots
were stripped for 10 minutes with Restore Western Blot Stripping Buffer (ThermoFisher
Scientific) and then stained again with 1:1,000 mouse anti-transferrin primary antibody
(Invitrogen) followed by 1:2,000 goat anti-mouse peroxidase (Invitrogen) and again visualized
using ECL.
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QUANTIFICATION AND STATISTICAL ANALYSIS
Electrophysiology
All data were analyzed and final plots were generated using Igor Pro 8.02 (Wavemetrics). Only
patches retaining a gigaohm seal after all pressure steps were included in the analysis. Peak
currents were measured following baseline subtraction of the mean current 50-200 ms
immediately prior to the pressure stimulus. Only patches with TREK1 peak currents >20 pA
were included in the steady-state analysis and in the calculation of 10-90% rise times. TREK1
steady-state currents were measured as the mean current during the last 50 ms of the pressure
pulse. All 10-90% rise times were calculated as the time for the baseline-subtracted current to
rise from 10% to 90% of its peak value. To account for current noise, all 40% decay times were
calculated as the time at which five consecutive current amplitude points (corresponding to 0.5
ms) were below 40% of the peak value. Fold potentiation of TREK1 currents was calculated at
each pressure as the ratio of median currents ((TREK1 + Piezo)/TREK1).
Single channel current amplitudes were calculated by generating all-points histograms with
binning determined using the Freedman-Diaconis method and an optimal bin width of
2*IQR(x)/N1/3, where IQR is the interquartile distance, N is the number of observations, and the
bins are evenly distributed between the minimum and maximum values. For mouse Piezo1, we
took advantage of the low open probability of Piezo1 in the absence of membrane tension to
measure the single-channel current (n=3-5 openings per patch) of Piezo1 in most patches
(106/121 patches; Figure S7A-B). Because we did not observe TREK1 single-channel
openings in most patches, we used an altered protocol to measure the single-channel current of
TREK1 at 0 mV in our solutions. TREK1 openings in a cell-attached configuration are brief, and
therefore 7-10 baseline-subtracted openings from one patch were pooled. For both Piezo1 and
TREK1, binned data were fit with a double-Gaussian equation of the form
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𝑦 = 𝑦0 + 𝐴1 ∗ 𝑒𝑥𝑝
−(𝑥−𝑥1
𝑤1
)
2
+ 𝐴2 ∗ 𝑒𝑥𝑝
−(𝑥−𝑥2
𝑤2
)
2
, where y0 is the baseline current, A1 and A2 are the peak amplitudes, x1 and x2 are the centers
of the fits, and w1 and w2 their respective widths. The difference between x1 and x2 reflects the
difference between mean current in the open and closed state and was used to calculate single
channel currents. Because fly Piezo has a small single-channel conductance, we could not
resolve openings at -80 mV 31. We therefore measured slope conductances for both mouse
Piezo1 and fly Piezo by fitting a line to single channel currents as a function of voltage between
-160 mV and -240 mV (Figure S3). To compare macroscopic current amplitudes and thus
compare channel density between fly Piezo and mouse Piezo1, we used day-matched controls
to limit variability due to passage number.
Patch dome areas were estimated from pipette resistances using a linear fit to data previously
recorded in the lab with Differential Interference Contrast imaging1,28 (Figure S7E). Specifically,
a plot of surface area as a function of pipette resistance was fit with a linear equation, y = 13.33
– 2.55x, which was then used to estimate patch dome surface area (y, m2) for a given pipette
resistance (x, MΩ). We calculated surface area of each patch from its pipette resistance, a
relationship we had previously calibrated via imaging of the patch dome area1 (Figure S7E) and
divided the number of channels in each patch by this value to calculate channel densities.
We found that values for peak currents, steady-state currents, and 10-90 rise times were widely
distributed, sometimes over more than two orders of magnitude, and that the distributions were
visibly not symmetrical. For this reason, we chose to report median values and 1st and 3rd
quartiles. For box plots, boxes represent median and 1st and 3rd quartiles. All other data are
reported as meanSD or meanSEM, as indicated.
Image processing
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Images were processed in FIJI (version 2)65 as 16-bit TIFF files. A single z-slice for spatial
analysis from the cell surface (top) was manually chosen from the Z-stack. Noise thresholds
were set for each cell by identifying the intersection of Gaussian distributions fit to the
intensity histograms of segmented puncta from the surface z-slice and a separate z-slice
chosen from the unlabeled interior of the cell. Manually drawn ROIs were generated around
the xy perimeter of each cell, and signal outside the ROI was cleared. Both 594 (Piezo1Myc) and
647 (TREK1HA) channels were auto-enhanced and filtered with a 2.0 pixel Gaussian Blur Filter.
Individual puncta from both overexpressed TREK1 and Piezo1 channel conditions were
segmented using StarDist’s Versatile (fluorescent nuclei) Model with the following settings
(Normalized Image Percentile 3-100, Probability/Score Threshold: 0.5, Overlap Threshold: 0.2,
Number of Tiles: 1, Boundary Exclusion: 2)66. Automated segmentation parameters were
developed based on manual segmentation. Endogenous Piezo1 puncta from Neuro2a-
Piezo1Myc images were manually segmented. We note that the size and intensity of individual
segmented puncta in images varies, particularly for TREK1. This variance primarily stems from
the variable z position along the axial point spread function of a punctum, especially given that
our image acquisition settings were optimized exclusively to improve lateral resolution in x and
y. Additional variance may come from two or more channels located closer to each other than
the resolution limit of our experiments. The center of mass for each Piezo or TREK punctum
was identified using the ‘Measure’ function in FIJI. Puncta with mean intensity values under the
identified threshold were excluded, and corresponding XY coordinates were exported for
analysis. Resolution for each cell was quantified from the Full-Width Half Max (FWHM) across
n=28-70 puncta from 2-3 2 µm x 2 µm regions in each image. Lineplots were used to measure
the intensity profile across individual points, and gaussian curves were fit to these data [see
github for Jupyter notebook] using the equation: 𝑦 = 𝐴 ∗ 𝑒𝑥𝑝−((𝑥−𝑚𝑢)
2∗ℴ2 )2
.
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The FWHM was calculated from Gaussian fits to line intensity profiles of each punctum using
the equation FWHM = ℴ*2.355 and averaged across the puncta for each image.
Membrane Expression Quantification
Confocal images were also processed in FIIJI with a modified membrane quantification pipeline,
as previously described35. In brief, a manually selected threshold for the GFP channel of each
construct was used to segment individual cells. A 1.5 m band was generated around each cell
and the mean fluorescence intensity in this band for the 594 nm (Myc) channel was calculated
using the ‘Measure’ function. Cells for which the segmentation pipeline failed to capture the
membrane or segment individual cells were manually excluded. The mean fluorescence for
each cell was normalized to the overall mean fluorescence for all day-matched wild-type
Piezo1Myc cells. In order to mimic conditions in which various Piezo constructs potentiate
TREK1, and to control for varying levels of GFP expression in different vector backgrounds, we
co-expressed each construct with TREK1. We found that the intensity of membrane
fluorescence in the fly and mutant Myc constructs was equivalent to or slightly lower than wild-
type mouse Piezo1Myc, indicating that increased expression of mutant constructs cannot explain
their effects on TREK1 (Figure S8D-E). The image analysis pipeline for Figure S8 is available in
the Grandl GitHub Repository: https://github.com/GrandlLab?tab=repositories.
Spatial distribution analysis and modeling
Nearest Neighbor Distances (NNDs) between empirical TREK1 and Piezo1 coordinates were
calculated using the KDtree function from the SciPy package in Python367. To compare the
empirical spatial relationship of TREK1 to Piezo1 puncta, we retained the empirical XY locations
of Piezo1 puncta and simulated random populations of TREK1 puncta. Each simulation was
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performed 1,000 times per image. For random TREK1 distributions, for each image, TREK1
positions were simulated from a random distribution within the image ROI at a density
equivalent to the empirical TREK1 density for that respective cell. Local Piezo1 densities were
calculated for a 564 nm radius (=1 m2 area) around each TREK1 punctum using the Ball Query
function in SciPy.
Our estimate of 30 nm as the maximum cutoff for TREK1 and Piezo1 binding is based on the
central location of the Piezo1 epitope, the predicted radius for Piezo1 in a biological membrane
(14 nm19,21,34), the location of the TREK1 epitope and radius of the TREK1 channel (~5 nm68),
and some accounting for linkage error from our labeling strategy. Our estimate of 100 nm as the
maximum cutoff for the Piezo1 footprint comes from estimates of the Piezo1 diameter (10-30
nm20,23,25,26,34 plus 5-fold the predicted decay length of the Piezo1 footprint in a biological
membrane (14 nm)24.
Code and representative data for the images in Figure 5 and Figure 7 are available in the
Grandl GitHub Server (2_Channel_Spatial_Analysis):
https://github.com/GrandlLab?tab=repositories. Images, segmentation, and NNDT1-P1 cumulative
frequency distributions for all other cells are available on Dryad
(https://datadryad.org/stash/share/8he-RNzsbsybFJmtKPP4puYIzl2j0wQI29iPdk_q19I).
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