Membrane proteins are prime drug targets as they control the transit of information, ions, and solutes across membranes. Here, we present a membrane-on-nanopore platform to analyze nonelectrogenic channels and transporters that are typically not accessible by electrophysiological methods in a multiplexed manner. The silicon chip contains 250,000 femtoliter cavities, closed by a silicon dioxide top layer with defined nanopores. Lipid vesicles containing membrane proteins of interest are spread onto the nanopore-chip surface. Transport events of ligand-gated channels were recorded at single-molecule resolution by high-parallel fluorescence decoding.
Membrane proteins are prime drug targets as they control the transit of information, ions, and solutes across membranes. Here, we present a membrane-on-nanopore platform to analyze nonelectrogenic channels and transporters that are typically not accessible by electrophysiological methods in a multiplexed manner. The silicon chip contains 250,000 femtoliter cavities, closed by a silicon dioxide top layer with defined nanopores. Lipid vesicles containing membrane proteins of interest are spread onto the nanopore-chip surface. Transport events of ligand-gated channels were recorded at single-molecule resolution by high-parallel fluorescence decoding.
The human genome codes for approximately
6000 membrane proteins, accounting for 25–30% of all open reading
frames.[1−3] Despite their essential role in cell homeostasis
and diseases, membrane proteins have persistently evaded efficient
analyses due to the lack of suitable techniques and major challenges
with regard to their fragile properties and low abundance. Their importance
is underlined by the fact that more than 60% of all drugs prescribed
today target membrane proteins.[4] In particular,
channels and transporters are of special interest as prime drug targets
as they control the flux of ions, nutrients, and other solutes across
cell membranes. In addition, membrane transporters are key secondary
drug targets as they control the absorption, distribution, metabolism,
and excretion of drugs targeting other proteins.[5] Many medically important membrane proteins fulfill their
function in intracellular membranes, which are difficult to access
by conventional approaches and have so far evaded high-throughput
approaches for their characterization.Techniques to investigate
the function of membrane transport proteins
have been developed whereas some of them are commercially available.[6,7] Systems that use solid-supported membranes present a promising tool
to study channels and transporters,[8−10] including solid-supported
lipid bilayers,[11−13] tethered bilayers,[14,15] microblack
lipid membranes,[16] and native vesicle arrays.[17] However, these methods are not yet able to combine
highly parallel, semiautomated multiplexed analysis, small sample
consumption, high sensitivity, and a single molecule resolution. The
development of chip arrays consisting of spatially confined compartments
enclosed by solid-state nanopores combines these desired features
in a single platform.[18,19] Considerable efforts have been
made in this field using silicon[20−22] or aluminum oxide.[23] However, these chips are laborious as well as
expensive in production and reproducible fabrication quality (at the
nanoscale) is not always ensured.Here, we present a chip architecture
containing an array of 250 000
nanopores with well-defined femtoliter cavities. A 5-in. silicon-on-insulator
(SOI) wafer was structured by reactive-ion etching, creating cylindrical
cavities of approximately 1 μm in diameter and 10 μm in
depth. Subsequently, a silicon dioxide top layer was formed by chemical
vapor deposition, narrowing the cavity opening to a pore in the nanometer
range. The mean nanopore diameter over an entire wafer was varied
from 70 to 120 nm with an enclosed cavity volume of 6 fL (Figure 1). The standard deviation of the pore opening across
individual chips is 9 nm (n = 84). Each wafer comprises
approximately 1150 individual chips of identical quality with 250 000
homogeneous nanopores on a single chip. All cavities are arranged
in a rectangular pattern with the ability to address each cavity individually
by fluorescence readout. In addition, the chip possesses an opaque
top layer and a transparent glass bottom, which allows the observation
of export but also import processes.
Figure 1
Design of multiplexed nanopore biochips.
(A) An SOI wafer is structured
by reactive-ion etching. Approximately 1150 individual chips are fabricated
from each wafer with identical properties and quality. (B) Each chip
comprises 250 000 individual microcavities with nanoapertures.
Scale bar: 200 μm. (C) Each cavity is addressable via multispectral
fluorescence read-out. An intransparent top layer blocks the fluorescent
signals from the buffer reservoir, making the biochip compatible with
inverted fluorescence microscopes. (D) AFM imaging reveals evenly
arranged pore openings and surface roughness of the silicon dioxide
layer of 3.6 nm (n = 40) optimal for vesicle fusion.
Scale bar: 5 μm. (E) SEM image shows a cross-section through
the nanopore allowing access to the femtoliter cavities inside the
silicon chip.
Design of multiplexed nanopore biochips.
(A) An SOI wafer is structured
by reactive-ion etching. Approximately 1150 individual chips are fabricated
from each wafer with identical properties and quality. (B) Each chip
comprises 250 000 individual microcavities with nanoapertures.
Scale bar: 200 μm. (C) Each cavity is addressable via multispectral
fluorescence read-out. An intransparent top layer blocks the fluorescent
signals from the buffer reservoir, making the biochip compatible with
inverted fluorescence microscopes. (D) AFM imaging reveals evenly
arranged pore openings and surface roughness of the silicon dioxide
layer of 3.6 nm (n = 40) optimal for vesicle fusion.
Scale bar: 5 μm. (E) SEM image shows a cross-section through
the nanopore allowing access to the femtoliter cavities inside the
silicon chip.Chips processed as described
above were analyzed by atomic force
microscopy (AFM) and scanning electron microscopy (SEM). All imaged
chips (n = 5) showed perfectly ordered arrays of
nanopores with a pitch of 4 μm (Figure 1D). A surface roughness of Rq = 3.6 nm
was determined by AFM (n = 40). The accurate fabrication
of the cavities and nanopore diameters was further confirmed via SEM
for several cross sections of the chip, underlining the constricted
opening of each pore (Figure 1E). In conclusion,
the nanopore design offers a high throughput analysis of single transport
events by simple fluorescence read-out.Formation of pore-spanning
lipid bilayers by spreading large unilamellar
vesicles (LUVs) bears several advantages in comparison to alternative
methods. Typically, LUVs with average diameters of 150–200
nm were employed to create pore-spanning suspended lipid bilayers
(SLBs). Black lipid membranes in contrast contain organic solvents
and may negatively affect the function of membrane proteins. Giant
unilamellar vesicles (GUVs) can seal nanoporous openings by vesicle
fusion,[21,22] but reconstitution of membrane proteins
into GUVs is very challenging. Compared to these methods, membrane
proteins are efficiently reconstituted into LUVs under physiological
conditions and without loss of their activity. Proteoliposomes can
then directly be applied to the chip for SLB formation.[24,25]In order to prepare suspended lipid bilayers, different lipids
and lipid mixtures were tested for their ability to form stable pore-spanning
lipid bilayers. In general, lipid mixtures containing phosphatidylcholine
(PC), phosphatidylethanolamine (PE), phosphatidylglycerol (PG), or
cholesterol can be used. LUVs consisting of soybean lipids or a mixture
of E. coli polar lipids and DOPC in a ratio of 7:3
(w/w) yielded the best result for our studies. Vesicle spreading to
the chip surface is aided by adding 5 mM CaCl2 prior to
LUV application, increasing the adherence of vesicles to the silicon
dioxide chip surface. Liposomes and proteoliposomes were analyzed
by nanoparticle tracking, yielding a monodisperse diameter of 214
± 70 and 158 ± 60 nm, respectively (Supporting Information Figure S1A). The diameter of the liposomes
must be well above the diameter of the nanopore to avoid vesicle contamination
in the cavities. Nanopore suspended membranes created by this approach
are stable for 48 h (Figure 2A and Movie M1)
and seal a maximum of approximately 94% of the cavities, enclosing
small and large solutes, such as organic fluorophores (0.7 kDa) or
fluorescently labeled dextrans (10–70 kDa).
Figure 2
Long-term stability and
fluidity of nanopore suspended lipid bilayers.
(A) Small fluorescent dyes (e.g., ATTO488) can be entrapped inside
the cavities by SLB formation. All cavities that are sealed from the
outside buffer reservoir by an intact lipid bilayer show a fluorescent
signal, whereas all nonsealed cavities appear black. SLBs are stable
for 20 h. Scale bar = 10 μm. (B) LUVs (0.5 mg/mL SoyPC20 + 0.1
mol % Bodipy-PE) spread on the nanoporous chip were studied by FRAP.
A square of 7.4 × 7.4 μm2 was bleached and the
recovery of the fluorescence was observed over time. Within 60 s,
90% recovery of the bleached area was observed. (C) The normalized
recovery curves provide a diffusion constant of 2.0 ± 0.7 μm2 s–1 (n = 49) with an immobile
fraction of 6 ± 3%, being in perfect agreement with previously
reported values for silicon dioxide supported membranes.[26] The images show an area of 60 × 60 μm2.
Long-term stability and
fluidity of nanopore suspended lipid bilayers.
(A) Small fluorescent dyes (e.g., ATTO488) can be entrapped inside
the cavities by SLB formation. All cavities that are sealed from the
outside buffer reservoir by an intact lipid bilayer show a fluorescent
signal, whereas all nonsealed cavities appear black. SLBs are stable
for 20 h. Scale bar = 10 μm. (B) LUVs (0.5 mg/mL SoyPC20 + 0.1
mol % Bodipy-PE) spread on the nanoporous chip were studied by FRAP.
A square of 7.4 × 7.4 μm2 was bleached and the
recovery of the fluorescence was observed over time. Within 60 s,
90% recovery of the bleached area was observed. (C) The normalized
recovery curves provide a diffusion constant of 2.0 ± 0.7 μm2 s–1 (n = 49) with an immobile
fraction of 6 ± 3%, being in perfect agreement with previously
reported values for silicon dioxide supported membranes.[26] The images show an area of 60 × 60 μm2.Next, the homogeneity, the continuous
coverage, as well as the
dynamic properties of the membrane covering the nanopore chip were
examined by fluorescence recovery after photobleaching (FRAP) experiments.
Liposomes supplemented with fluorescently labeled lipids (SoyPC20
plus 0.1 mol % Bodipy-PE) were spread on the chip surface, resulting
in a nanopore suspended lipid bilayer (Figure 2B). A rectangular region of interest (7.4 × 7.4 μm2) was bleached by using an argon laser (488 nm, 25 mW). Notably,
90% fluorescence recovery was observed, demonstrating that the nanopore
suspended lipid bilayer is intact, homogeneous, and fluid on the chip
surface. The lateral diffusion coefficient for several independent
FRAP experiments was 2.0 ± 0.7 μm2/s (n = 49) with an immobile fraction of 6 ± 3%. This result
is in good agreement with the lateral diffusion coefficient of 1–3
μm2/s for lipid bilayers on glass surfaces.[26] In the case of decreased liposome concentration
on the chip, the fluorescent recovery is impaired (Supporting Information Figure S2), leading to mostly ill-defined
membrane patches or free vesicles on the SiO2 surface.
These results demonstrate that fluid lipid bilayers are assembled
on nanopore chips.Compartmentalization of solutes by nanopore SLBs. (A)
Fluorophores
easily access chip cavities if no SLBs are present, resulting in perfect
colocalization, when, for example, two dyes are added to the buffer
reservoir (ATTO488 and ATTO594; Pearson’s coefficient rP = 0.97 ± 0.01). (B) Lipid bilayers spanning
the nanopores retain small hydrophilic fluorophores inside the femtoliter
cavities and seal them from the buffer reservoir by an impermeable
barrier. If a second fluorophore is added after SLB formation, no
colocalization is observed (rP = 0.03
± 0.02). (C) By addition of Triton X-100 (0.5% (v/w) final concentration),
the SLB is disrupted, leading to efflux of ATTO488, while the external
fluorophore (ATTO594) will simultaneously fill the cavity. Scale bar
= 10 μm.Next, we examined the
sealing and compartmentalization of various
solutes by the nanopore suspended lipid bilayer. If no lipid bilayer
is present, the cavities are freely accessible for fluorophores, which
results in complete colocalization of two dyes inside the cavities
(Figure 3A). In contrast, strict separation
of fluorescent solutes is observed if a lipid bilayer seals the nanopore
(Figure 3B). Prior to SLB formation, a fluorescent
analyte (e.g., ATTO488) is added to the buffer reservoir, while all
cavities are freely accessible. After SLB formation and buffer exchange,
the lipid bilayer sealed the cavities and entrapped the analyte. In
all nonsealed cavities, the fluorophore is diluted out. In a subsequent
step, a differently labeled analyte is added (e.g., ATTO594). Notably,
the fluorophore added later cannot enter those cavities sealed by
the SLB, demonstrating the complete compartmentalization of both analytes
by pore-spanning lipid bilayers.
Figure 3
Compartmentalization of solutes by nanopore SLBs. (A)
Fluorophores
easily access chip cavities if no SLBs are present, resulting in perfect
colocalization, when, for example, two dyes are added to the buffer
reservoir (ATTO488 and ATTO594; Pearson’s coefficient rP = 0.97 ± 0.01). (B) Lipid bilayers spanning
the nanopores retain small hydrophilic fluorophores inside the femtoliter
cavities and seal them from the buffer reservoir by an impermeable
barrier. If a second fluorophore is added after SLB formation, no
colocalization is observed (rP = 0.03
± 0.02). (C) By addition of Triton X-100 (0.5% (v/w) final concentration),
the SLB is disrupted, leading to efflux of ATTO488, while the external
fluorophore (ATTO594) will simultaneously fill the cavity. Scale bar
= 10 μm.
Disruption of the SLB by adding
detergent results in a rapid efflux
of the entrapped solute out of the cavities. Simultaneously, the second
analyte from the external reservoir entered the cavities, leading
to ATTO594 signals in all compartments (Figure 3C). In summary, all results prove that nanopore-suspended lipid bilayers
form stable impermeable barriers for small, hydrophilic solutes and
that nonelectrogenic membrane transport processes mediated by transporters
and channels can be followed via fluorescent readout.In order
to demonstrate the ability of the system to record transport
events of reconstituted membrane proteins, the mechanosensitive channel
of large-conductance (MscL) was used.[27] In addition, chemically charging the pore constriction causes spontaneous
opening of the channel.[28] On the basis
of this principle, MscL has been modified in its constriction site
(MscLG22C) with rationally designed small chemical compounds
to open specifically in response to external triggers. This generates
an engineered on–off switch, which is closed in its default
state.[29−31] In the open state, however, engineered MscL allows
the passage of molecules up to 6.5 kDa.[32−34] Here, we used an engineered
MscLG22C as membrane channel for the stimulus driven opening
of the nanopore. Purified MscLG22C was reconstituted into
liposomes composed of soybean lipids, and protein activity after reconstitution
was verified by a fluorescence-dequenching assay (Supporting Information Figure S1B). The lipid-to-protein ratio
chosen statistically yields 1.8 MscL channels per nanopore, implying
a quantitative reconstitution. As some channel complexes may loose
their activity, this ratio was considered optimal to achieve single
channel recordings.Ligand-gated solute translocation by MscL at single-molecule
level.
(A) Engineered MscLG22C channels are closed in their default
state. Small solutes such as a fluorophore are unable to pass neither
through the channel nor the lipid bilayer. Upon addition of MTSET,
an engineered single cysteine of each MscLG22C protomer
gets modified, introducing multiple positive charges in the constriction
side of the pentameric channel complex. The MscLG22C channel
is pushed open by charge repulsion and the entrapped dye can diffuse
out of the cavity, leading to a decrease in fluorescence intensity.
(B) Time traces of MscLG22C opening upon addition of MTSET.
Proteoliposomes containing functionally reconstituted MscLG22C were spread on the chip surface. Oy647 (red) was entrapped inside
the cavities as translocation substrate. OregonGreen Dextran (70 kDa,
green) was added as channel impermeable control substrate to monitor
the substrate specificity of the transport event as well as the membrane
integrity during the experiment. LUVs were supplemented with ATTO390-DOPE
(0.1 mol %; purple) to check for lipid contamination inside cavities.
Addition of MTSET (3 mM final) at t = 0 s opens the
channel, leading to Oy647 efflux from the cavities, recorded via fluorescence
read-out. (C) Randomly picked MscLG22C efflux curves demonstrate
typical efflux events. (D) Rate constants for translocation events
(n = 242) cluster into two Gaussian populations,
demonstrating that single- and multichannel transport events can be
discriminated. (E) High-content screening and statistic analysis of
9046 sealed chip cavities by triple-color real-time readout. Eight
percent of all analyzed chip cavities show exponential efflux events.
Because of spectral decoding (red, translocated solute; green, control
solute; violet, lipid), efflux events, complex kinetics, lipid intrusions,
and membrane ruptures could be discriminated, thus eliminating false
positives.Proteoliposomes were spread to
the nanopore chip as described before.
Sealing rates of 80–90% were reached after spreading of proteoliposomes.
Prior to SLB formation, Oy647 was entrapped inside the cavities as
transported substrate. OregonGreen Dextran (70 kDa), which cannot
cross the MscL pore, served as control. Furthermore, ATTO390-labeled
DOPE was incorporated into the lipid bilayer to report on lipid contamination
inside cavities during all experiments. Upon triggered opening of
the right-side out MscLG22C channel by adding thiol specific
reagent 2-(trimethylammonium)ethyl methanethiosulfonate (MTSET), Oy647
efflux was exclusively observed for cavities where MscL was located
inside the nanopore spanning SLB region (Figure 4A). MTSET by itself shows no such activity, excluding any destabilizing
effect on the suspended lipid bilayer. Events derived from three fluorescence
channels were classified and discriminated from each other. Only events
displaying monoexponential efflux kinetics in the Oy647 channel (red)
and constant signals for the control solute (green) as well as the
lipid channel (violet) were chosen for final data analysis (Figure 4B). Hundreds of MTSET-triggered efflux events were
recorded in one experiment (Figure 4C). Analysis
of the translocation rate constant revealed two Gaussian populations,
representing either one (kefflux = 1.36
× 10–3 s–1; 68% of all events)
or two MscLG22C channels in the pore region (kefflux = 3.33 × 10–3 s–1; Figure 4D). This demonstrated the capacity
of the technique to resolve single transport events.
Figure 4
Ligand-gated solute translocation by MscL at single-molecule
level.
(A) Engineered MscLG22C channels are closed in their default
state. Small solutes such as a fluorophore are unable to pass neither
through the channel nor the lipid bilayer. Upon addition of MTSET,
an engineered single cysteine of each MscLG22C protomer
gets modified, introducing multiple positive charges in the constriction
side of the pentameric channel complex. The MscLG22C channel
is pushed open by charge repulsion and the entrapped dye can diffuse
out of the cavity, leading to a decrease in fluorescence intensity.
(B) Time traces of MscLG22C opening upon addition of MTSET.
Proteoliposomes containing functionally reconstituted MscLG22C were spread on the chip surface. Oy647 (red) was entrapped inside
the cavities as translocation substrate. OregonGreen Dextran (70 kDa,
green) was added as channel impermeable control substrate to monitor
the substrate specificity of the transport event as well as the membrane
integrity during the experiment. LUVs were supplemented with ATTO390-DOPE
(0.1 mol %; purple) to check for lipid contamination inside cavities.
Addition of MTSET (3 mM final) at t = 0 s opens the
channel, leading to Oy647 efflux from the cavities, recorded via fluorescence
read-out. (C) Randomly picked MscLG22C efflux curves demonstrate
typical efflux events. (D) Rate constants for translocation events
(n = 242) cluster into two Gaussian populations,
demonstrating that single- and multichannel transport events can be
discriminated. (E) High-content screening and statistic analysis of
9046 sealed chip cavities by triple-color real-time readout. Eight
percent of all analyzed chip cavities show exponential efflux events.
Because of spectral decoding (red, translocated solute; green, control
solute; violet, lipid), efflux events, complex kinetics, lipid intrusions,
and membrane ruptures could be discriminated, thus eliminating false
positives.
From all
sealed cavities analyzed in this study (n = 9046),
approximately 8% showed efflux activity. By multispectral
decoding, these flux events can be classified into four categories:
(i) monoexponential efflux events, (ii) complex kinetics, (iii) lipid
intrusion, and (iv) membrane rupture (Figure 4E). Fifty percent of all efflux events are monoexponential with stable
signals for the lipid probe and control solute. In contrast, complex
efflux events are defined by exponential efflux of the translocated
substrate but displaying unsteady signals for the control solute and/or
the membrane dye. They are therefore not considered for final data
analysis. Likewise, lipid intrusion events are discarded, where the
lipid bilayer enters cavity space and reduces the cavity volume by
displacing the entrapped dye (Supporting Information Figure S3). Membrane ruptures were also excluded, which lead to
unspecific efflux as well as influx. By multicolor decoding, unbiased
data selection prior to final analysis facilitates the elimination
of false positive transport events.In conclusion, we present
a membrane-on-nanopore architecture to
examine channels and transporters at single molecule level. Silicon-on-insulator
based nanopore chips featuring cylindrical cavities and pore apertures
below 100 nm can be reproducibly fabricated in high quantities and
with identical properties. The transparent cavity floor makes it possible
to use inverted fluorescence microscopes, which are more common than
upright microscopes in life sciences. This makes the chip technology
readily available to a larger number of potential users. Using air
objectives, the system can be automated, another necessity for screening
applications. In contrast to our previous nanopore chip design,[22] both export and import events can be followed,
as the fluorescence from the bulk reservoir is efficiently blocked
by the opaque top layer. Proteoliposomes can easily be spread on the
flat silicon surface of the chip and suspended lipid bilayers created
by self-assembly in high yields. Recording of thousands of traces
in a multiplex manner enables the comparison of ensemble properties.
In contrast to other approaches, membrane proteins can readily be
applied due to the usage of LUVs instead of GUVs or BLMs for SLB formation.
Thus, the presented chip is compatible with a wide range of membrane
proteins. Using our system, membrane translocation events can be monitored
in a highly parallel fashion, creating statistically relevant data
with minimal sample and chip consumption. The channel protein MscL
used in this study demonstrates the capability of the system to analyze
ligand-gated channels. In combination with a semiautomated microscope
system, multiple biochips can be observed at the same time, thus offering
a major advance in high-throughput screening of therapeutic drug targets.
Authors: Ursula Pieper; Avner Schlessinger; Edda Kloppmann; Geoffrey A Chang; James J Chou; Mark E Dumont; Brian G Fox; Petra Fromme; Wayne A Hendrickson; Michael G Malkowski; Douglas C Rees; David L Stokes; Michael H B Stowell; Michael C Wiener; Burkhard Rost; Robert M Stroud; Raymond C Stevens; Andrej Sali Journal: Nat Struct Mol Biol Date: 2013-02 Impact factor: 15.369
Authors: Carol J Milligan; Jing Li; Piruthivi Sukumar; Yasser Majeed; Mark L Dallas; Anne English; Paul Emery; Karen E Porter; Andrew M Smith; Ian McFadzean; Dayne Beccano-Kelly; Yahya Bahnasi; Alex Cheong; Jacqueline Naylor; Fanning Zeng; Xing Liu; Nikita Gamper; Lin-Hua Jiang; Hugh A Pearson; Chris Peers; Brian Robertson; David J Beech Journal: Nat Protoc Date: 2009 Impact factor: 13.491