Oliver J Hale1, Helen J Cooper1. 1. School of Biosciences, University of Birmingham, Edgbaston B15 2TT, U.K.
Abstract
Previously, we have demonstrated native mass spectrometry imaging (native MSI) in which the spatial distribution of proteins maintained in their native-like, folded conformations was determined using liquid extraction surface analysis (LESA). While providing an excellent testbed for proof of principle, the spatial resolution of LESA is currently limited for imaging primarily by the physical size of the sampling pipette tip. Here, we report the adoption of nanospray-desorption electrospray ionization (nano-DESI) for native MSI, delivering substantial improvements in resolution versus native LESA MSI. In addition, native nano-DESI may be used for location-targeted top-down proteomics analysis directly from tissue. Proteins, including a homodimeric complex not previously detected by native MSI, were identified through a combination of collisional activation, high-resolution MS and proton transfer charge reduction.
Previously, we have demonstrated native mass spectrometry imaging (native MSI) in which the spatial distribution of proteins maintained in their native-like, folded conformations was determined using liquid extraction surface analysis (LESA). While providing an excellent testbed for proof of principle, the spatial resolution of LESA is currently limited for imaging primarily by the physical size of the sampling pipette tip. Here, we report the adoption of nanospray-desorption electrospray ionization (nano-DESI) for native MSI, delivering substantial improvements in resolution versus native LESA MSI. In addition, native nano-DESI may be used for location-targeted top-down proteomics analysis directly from tissue. Proteins, including a homodimeric complex not previously detected by native MSI, were identified through a combination of collisional activation, high-resolution MS and proton transfer charge reduction.
Native mass spectrometry
of proteins is a fast-growing field of
mass spectrometry in which the intra- and intermolecular noncovalent
interactions present in solution are maintained in the gas phase.[1] Proteins are subjected to electrospray ionization
mass spectrometry from solutions designed to mimic physiological conditions.
As noncovalent interactions are retained in the gas phase, it is possible
to obtain protein structural information from native mass spectrometry.
For example, the stoichiometry of a protein assembly can be determined
through mass measurement and tandem mass spectrometry analysis.[2] For single polypeptide chains, the charge state
distribution is indicative of the folded protein (the more folded
the protein, the lower the charge state). Often, native mass spectrometry
is coupled with ion mobility spectrometry for the purposes of measuring
collision cross sections.[3] Structural information
is much sought-after because of its link to protein function.Mass spectrometry imaging (MSI) allows simultaneous detection of
biological molecules in an untargeted approach, a useful trait for
discovery biology applications.[4] The first
MSI publication for protein imaging used matrix-assisted laser desorption/ionization
mass spectrometry (MALDI MS), as have many later studies.[4−6] Proteins have also been imaged by first conducting an on-tissue
proteolytic digest, followed by MALDI MS analysis.[7,8] In
that approach, peptide markers of the protein are analyzed rather
than the intact protein. More recently, ambient ionization mass spectrometry
imaging methods, such as desorption electrospray ionization (DESI)
and nanospray-desorption electrospray ionization (nano-DESI), have
been developed.[9−12] To date, these methods have made use of denaturing solvents which
result in loss of information on protein complex stoichiometry and
three-dimensional structure. This information is valuable for understanding
interactions with other proteins and small molecules, which are often
critical to protein function. As described above, native mass spectrometry
can retain that structural information in the gas phase and it has
become an established tool for investigating protein structure and
binding, usually from purified recombinant proteins.[1,13,14] Consequently, we have endeavored
to combine MSI and native MS for intact protein imaging.Our
existing studies on native MSI have all used liquid extraction
surface analysis (LESA) as the sampling and ionization platform.[15,16] LESA is automatable and sensitive, but is limited in its achievable
spatial resolution by the size of the pipette tip used for sampling,
and the step increment of the motors on the robot. Typically, LESA
results in a sampling location area with a diameter of 600 μm,
and pixel size of 1 × 1 mm2. Substantial improvement
of spatial resolution is therefore a key focus to make native MSI
a more powerful tool for biology, particularly as MSI of small molecules
is now routinely achievable at cellular resolutions.[17,18] Alternative ambient ionization techniques were considered for adaption
for native MSI: desorption electrospray ionization (DESI) has been
successfully applied to protein imaging under denaturing conditions
with the assistance of ion mobility separation,[9,10] and
is capable of native analysis of purified proteins applied to a glass
slide,[19] but requires harsh desolvation
conditions. Nanospray-desorption electrospray ionization (nano-DESI),[20,21] which employs direct contact of a flowing solvent bridge with the
sample to dissolve molecules prior to ionization, has also been applied
to denatured protein MSI.[11,12] Nano-DESI has been
used to achieve lateral spatial resolutions of around 10 μm
when analyzing abundant lipid and metabolite species,[22] and around 200 μm for denatured proteins.[11,12] Pixel sizes of 5 μm have been achieved with microscopy-assisted
image fusion, where lower resolution ion images are merged with a
high-resolution optical image.[12]Here, we present the first report of native nano-DESI MSI enabling
significant improvements in spatial resolution over LESA MSI. Native
nano-DESI makes use of a nondenaturing ammonium acetate-based aqueous
solvent for analyzing the spatial distribution of intact proteins
and complexes. (Duncan et al. have previously demonstrated nano-DESI
MSI using pure water for imaging of metabolites in kidney tissue sections.[23]) Identification of the endogenous proteins is
also crucial for the viability of the technique. We demonstrate top–down
proteomics of native proteins directly from rat kidney tissue using
nano-DESI, including identification of the noncovalent dimer of S100-A6,
adipocyte lipid-binding protein (ALBP), and phosphatidylethanolamine-binding
protein (PEBP1), none of which have previously been identified by
native LESA.
Materials and Methods
MS-grade water,
acetonitrile (ACN), methanol (MeOH), and formic
acid (FA) were purchased from Fisher Scientific (Loughborough, U.K.).
High-performance liquid chromatography (HPLC)-grade ammonium acetate
was bought from J.T. Baker (Deventer, The Netherlands). All protein
standards and C8E4 were bought from Sigma-Aldrich
(Gillingham, U.K.). Solutions of hen egg white lysozyme (HEWL, 160
μM), equine skeletal muscle myoglobin (670 μM), and ovalbumin
(420 μM) were made up in aqueous ammonium acetate (200 mM) to
mimic the physiological electrolyte concentration.[24] In the initial investigation, samples were deposited as
1 μL droplets onto a glass slide and allowed to dry at room
temperature for 30 min. The dried droplets were typically 5–8
mm in diameter for 1 μL deposits. The dried droplets were then
sampled by nano-DESI with 200 mM ammonium acetate. Subsequent limit
of detection (LOD) experiments were performed using 0.2 μL dried
droplets (typically <2 mm diameter).The solvent system used
for producing ion images of rat kidney
was ammonium acetate (200 mM) + 0.125% C8E4 detergent.
Detergent-based solvent systems are common in native MS studies of
membrane proteins for stabilizing gas-phase structure, and this solvent
system was previously used in native LESA experiments for analyzing
intact protein assemblies.[25−27] Additional experiments featuring
organic solvents used solutions of ACN/0.1% FA (80:20, 65:35, 50:50
v/v) and MeOH/0.1% FA (80:20 v/v). Nitrogen (>99.995%) and helium
(>99.996%) gases used on the mass spectrometer were obtained from
BOC (Guildford, U.K.).
Animal Tissue
Kidney tissue from
a vehicle-dosed (0.5%
hydroxypropyl methylcellulose (HPMC) and 0.1% Tween 80 in water) adult
male Hans Wistar rat was the kind gift of Dr. Richard Goodwin (Astra
Zeneca). The animal was euthanized 2 h post dose. Dissection was performed
by trained Astra Zeneca staff (project licence PP77366793, procedure
number 3). Kidneys were snap-frozen in isopropanol over dry ice. All
tissue was stored at −80 °C and sectioned at −22
°C to a thickness of 10 μm with a CM1810 Cryostat (Leica
Microsystems, Wetzlar, Germany) and thaw mounted onto glass microscope
slides. Sections were stored at −80 °C until use. Three
tissue sections from various depths through the organ (∼20,
∼40, and ∼60%) were subjected to replicate analysis
by native nano-DESI MSI. Tissue sections were not subjected to any
washing protocol prior to analysis to avoid protein unfolding or complex
dissociation due to additional preparation.
Nano-DESI Ion Source
Nano-DESI was performed using
a custom-built ion source, based on the two-dimensional (2D) XY-stage
of a FlowProbe (Prosolia, Inc., Indianapolis, IN) and taking inspiration
from the nano-DESI source of Laskin and co-workers.[28] The Z-axis was a translating platform
positioned by a micrometer screw. Solvent was supplied by a syringe
pump (500 μL, Hamilton, Reno, NV) at a flow rate of 1.9 μL/min
through fused silica capillaries (OD = 280 μm, ID = 75 μm
before modification). The fused silica was flame pulled to produce
a taper and then cut approximately 2 mm from the tip to reveal the
orifice (see Figure S1a). The end of the
capillary at the mass spectrometer inlet was not flame pulled, but
had the capillary coating removed. The primary and sampling capillaries
were positioned at an angle of approximately 90° to one another
to form an opening over which a liquid junction could form. Initially,
the sampling capillary was approximately 10 cm long (used for sampling
protein standards), but this was shortened to approximately 2.5 cm
for tissue imaging. The shorter capillaries have proven less liable
to blocking by particulates and bubbles. The sampling capillary was
positioned ∼0.5 mm inside the ion transfer tube of the mass
spectrometer, which enabled aspiration of the solvent by the inlet
vacuum. Microscope cameras (Dino-Lite, Torrance, CA) were mounted
to aid positioning of the capillaries. A potential between 800 and
1600 V (tuned for signal stability and intensity) was applied to the
solvent by a high voltage cable from the mass spectrometer connected
to the solvent syringe (see Figure S1b,c).
The 2D stage was controlled by Arduino Uno v3 microcontrollers (Arduino,
Turin, Italy), EasyDriver stepper motor drivers (v4.4, http://www.schmalzhaus.com) and custom scripts in the Arduino software (v1.8.12) (see Figure S2). For protein standards, the nano-DESI
liquid junction was formed on the glass slide surface. The 2D stage
was moved in 100 μm increments toward the edge of a dried droplet
until protein ions were detected, after which movement was stopped
and data were acquired (static nano-DESI). For tissue imaging, the
nano-DESI probe was brought into contact with a test tissue section
and the solvent bridge formed. The stage then moved to an adjacent
tissue section for imaging. The motorized stage was set to move at
a rate of 20 μm/s laterally, and to step 200 μm between
line scans. Line scans were acquired left to right as seen in images
in this article. The kidney images shown here required approximately
7 h to acquire.
Mass Spectrometry
The nano-DESI
source was mounted
to an Orbitrap Eclipse (Thermo Fisher, San Jose, CA) equipped with
the HMRn option, allowing m/z analysis and selection up to m/z 8000. The Orbitrap Eclipse was operated in positive-ion mode and
intact protein mode with the ion routing multipole pressure set to
8 mTorr. Tuning and calibration were performed using FlexMix (Thermo
Fisher). The electrodynamic ion funnel RF was set to 140%, with source-induced
dissociation set to 85 V for kidney, optimized for removal of background
ions and improved protein ion signal intensity. Data were acquired
in the orbitrap analyzer at a resolution setting of 15 000
or 60 000 (defined at m/z 200) for protein standards and 7500 for tissue analysis. The Orbitrap
Eclipse mass spectrometer is optimized for intact protein analysis
under native conditions.[29] Low-resolution
mass analysis is the result of collection of a shorter orbitrap transient,
e.g., the transient length for a resolution of 7500 is only 16 ms.
The short transient is beneficial to the signal intensity of larger
proteins. Longer transients increase the probability of signal decay
by the phenomena described by Makarov and Denisov.[30] An m/z range of 2000–5000
for kidney tissue was used to exclude high intensity singly charged
ions, such as lipid dimers, which were observed to be multiple orders
of magnitude more intense than protein ion signals. Decreasing the
lower m/z limit to include lipid
dimer signals (∼m/z 1500)
resulted in rapid automatic gain control (AGC) triggering and an absence
of protein signals. Injection time for full scan spectra was set to
500 ms, and the AGC set to 1250%, which generally resulted in between
2 and 5 spectra/s.Tandem mass spectrometry (MSn)
experiments used the ion trap for m/z selection. Ions were dissociated by higher-energy collisional dissociation
(HCD) or collision-induced dissociation (CID). Normalized collision
energy (NCE) values are specified alongside each MSn spectrum
for each protein identified in this study. For product-ion detection,
an Orbitrap resolution between 50 000 and 500 000, or
ion trap detection with the “Normal” scan rate was used.
MSn experiments were performed on an adjacent section of
kidney to the one imaged. MSn spectra were manually interrogated
to build a zero-charge peak list, which was imported into ProSight
4.1 (Thermo). Searches were performed with the proteome of Rattus norvegicus (Uniprot Proteome: UP000002494,
downloaded June 2020). Precursor monoisotopic mass tolerance was set
to 1 kDa to allow for hits including small bound ligands, fragment
ion tolerance of 20 ppm and a minimum fragment match of 1. Assignment
of MSn signals was checked manually using MS-Product (ProteinProspector,
v5.24.0, http://prospector.ucsf.edu/prospector/mshome.htm, UCSF) to
predict fragment m/z.For proton transfer charge reduction (PTCR)
experiments, the
reagent
anion was perfluoroperhydrophenanthrene. PTCR charge reduces protein
cations by an ion/ion reaction in the high-pressure cell of the ion
trap.[31] PTCR was performed with a reaction
time of 1–10 ms (analyte-dependent), a max. fill time of 200
ms and an AGC target of 2 × 105 for reagent anions.
The Orbitrap was set to a resolution of 7500.
Ion Image Generation
Data were acquired as single line
scans, examples of which can be found in Figure S3. All line scans per image were converted from Thermo raw
to imzML by FireFly (v3.2.0.23, Prosolia, Inc.) using fixed time bins
to box sum multiple scans to account for variability in Orbitrap injection
time due to AGC. The imzML files were processed with MSiReader[32] (v1.02, North Carolina State University, Raleigh,
NC). Kidney ion images were produced with a pixel size of 200 ×
200 μm2. TIC normalization and linear interpolation
were applied. All images represent a window across the protein signal
apex, specified as m/z ±0.1.
Results and Discussion
Native Nano-DESI MSI
We pursued
the application of
native nano-DESI to imaging thin tissue sections after initial investigation
of protein standards (hen egg white lysozyme (HEWL), holo-myoglobin,
and ovalbumin) using the nano-DESI probe (see the Native Nano-DESI
of Protein Standards section in the Supporting Information and Figure S4). The LOD for the protein standards
dried onto glass slides was determined to be ∼0.4 pmol (see Figures S5 and S6).The nondenaturing solvent
system used here for native nano-DESI is known to allow folded proteins
and intact protein complexes to retain their structure through ionization
to mass analysis.[1,33] Denaturing solvent systems that
have previously been used for nano-DESI protein imaging[11,12] disrupt the weak interactions of protein higher-order structure
and are likely incompatible with the goal of determination of the
spatial distribution of intact protein complexes and folded monomeric
proteins. The use of ammonium acetate-buffered solvent systems in
the 10–200 mM range is common in native MS to maintain a physiological
pH.[2] Detergents are also used to transfer
membrane proteins from solution into the gas phase without disrupting
structure.[34] Although signal suppression
is expected because of the solvent system, mitigation through the
application of source collision energy and optimized ion optics to
remove background ions is effective and does not induce unwanted dissociation
of protein complexes.We have previously investigated rat kidney
tissue with native LESA
MSI, making for useful comparative data in the form of low-resolution
images and protein identifications by an in situ top–down approach.[26] Representative native nano-DESI mass spectra
for specific regions in the kidney are shown in Figure . Examples of mass spectra composed of a
single scan are available in Figure S7.
The proteins labeled were reliably detected in adjacent tissue sections,
enabling further MSn analysis to be performed. The medulla
tissue features heart fatty acid binding protein (H-FABP), and regucalcin
is found only in the cortex tissue spectrum, as was shown with LESA.
For nano-DESI, the renal pelvis yielded many signals not observed
previously with LESA, possibly because the section used for nano-DESI
featured adipose tissue in this region. For example, adipocyte lipid-binding
protein (ALBP) was detected with native nano-DESI and is known to
be a lipid transport protein found in adipocytes.[35] Some larger proteins (with MWs ∼36 kDa) with similar
distributions to ALBP remain unidentified due to their low relative
abundance, but it was possible to determine an average mass for these
proteins using PTCR (see below). Other newly identified proteins include
the S100-A6 dimer (renal pelvis and medulla) and phosphatidylethanolamine-binding
protein 1 (PEBP1; capsule, cortex, and medulla). These identifications
were achieved by implementing native nano-DESI MSn (see
below).
Figure 1
(a) Photograph of the rat kidney during sectioning with labeled
regions corresponding to the following mass spectra. (b–f)
Native mass spectra from distinct regions of the kidney. Some proteins
exhibited strong signals in one region, e.g., H-FABP in the medulla
(b), regucalcin in the cortex (c), and adipocyte lipid-binding protein
in the renal pelvis (f). Spectra are the result of averaging multiple
orbitrap scans ((b): 48, ∼0.096 mm2 of tissue sampled,
(c): 148, ∼0.3 mm2, (d): 18, ∼0.036 mm2, (e): 22, ∼0.044 mm2, (f): 188, ∼0.376
mm2) from raster line scans acquired at 20 μm/s in
the respective region of tissue to improve the signal-to-noise ratio.
(a) Photograph of the rat kidney during sectioning with labeled
regions corresponding to the following mass spectra. (b–f)
Native mass spectra from distinct regions of the kidney. Some proteins
exhibited strong signals in one region, e.g., H-FABP in the medulla
(b), regucalcin in the cortex (c), and adipocyte lipid-binding protein
in the renal pelvis (f). Spectra are the result of averaging multiple
orbitrap scans ((b): 48, ∼0.096 mm2 of tissue sampled,
(c): 148, ∼0.3 mm2, (d): 18, ∼0.036 mm2, (e): 22, ∼0.044 mm2, (f): 188, ∼0.376
mm2) from raster line scans acquired at 20 μm/s in
the respective region of tissue to improve the signal-to-noise ratio.The increased number of proteins identified by
native nano-DESI
as compared with native LESA might suggest that native nano-DESI offers
greater sensitivity; however, the overall signal intensity is 1–2
orders of magnitude lower on a scan-to-scan basis for native nano-DESI
(depending on the protein, see Figure S8 and associated discussion, Supporting Information). We hypothesize
that differences in the detected proteins arise because native nano-DESI
is a raster technique, which samples all tissue along the line scan,
whereas LESA samples from discrete points and with unsampled tissue
remaining between points. Importantly, the LESA sampling area (∼0.28
mm2) does not equate to pixel size (1 mm2) due
to software and stepper motor limitations leading to undersampling
of the tissue by LESA. Nano-DESI is therefore better positioned to
map proteins with limited distributions.For comparison, we
performed nano-DESI analyses of rat kidney with
a range of organic solvents (80% ACN, 65% ACN, 50% ACN, and 80% MeOH,
each containing 0.1% formic acid). Nano-DESI mass spectra obtained
from the cortex, using identical instrument parameters to those used
above, are shown in Figure S9. With 80%
ACN, only lipid signals were detected. With 65% ACN, a solvent system
previously used in nano-DESI protein imaging,[11,12,36,37] the spectra
were dominated by apo-α-globin and apo-β-globin peaks.
These peaks were also detected at 50% ACN, together with peaks corresponding
to monomers and dimers of RidA. With 80% MeOH, again, peaks corresponding
to apo-α-globin and apo-β-globin peaks dominated. As mentioned
above, use of the native solvent system requires application of source
collision energy to remove background ions, and this is not necessarily
the case for the organic solvent systems. We therefore repeated the
analyses with organic solvents at a source collision energy of 0 V
and the spectra obtained from the cortex are shown in Figure S10. For 80% ACN, 65% ACN, and 80% MeOH,
the spectra are dominated by lipid signals, with peaks corresponding
to apo-α-globin and apo-β-globin also detected. Interestingly,
the RidA trimer was detected in high charge states (13+ to 19+) with
50% ACN. No αβ2H hemoglobin dimers were detected.
The experiments with 50% ACN at both source collision energies were
repeated for the renal pelvis, see Figure S11. At source collision energy = 0 V, the S100-A6 monomer was detected
in a range of charge states. At source collision energy = 85 V, the
S100-A6 monomer and cytochrome C were detected. Overall, the use of
organic solvents resulted in the detection of fewer proteins than
the ammonium acetate-based solvent and unfolding of protein complexes.
S100-A6 dimers, αβ2H hemoglobin dimers, and
heme-bound α- and β-globins were not detected; RidA trimers
were detected when the solvent was 50% ACN; however, the high charge
states and facile dissociation of these species suggest some degree
of structural disruption under these conditions.Ion images
obtained from a rat kidney section are shown in Figure . Ion images produced
for kidney sections in replicate experiments are available in Figure S12. The analyzed section (see photograph
of the kidney at sectioning in Figure a) contained one prominent blood vessel running from
the renal pelvis, up the cortical column (between two renal pyramids
of medulla tissue) and into the cortex. Smaller blood vessels are
prominent in the cortex tissue. An optical image of the tissue section
post-analysis is shown in Figure b. Major urinary protein (MUP, Figures c and S13, assigned
by intact mass and previously identified by top–down native
LESA MSn [26]) and its
proteolysis derivative kidney-fatty acid-binding protein (K-FABP, Figures d and S14, assigned by intact mass and previously identified
by top–down native LESA MSn [26]) were most abundant within the cortex tissue, with K-FABP
being one of the most intense signals overall. The distributions observed
for these proteins are consistent with lower resolution native LESA
MSI.[26] The intact homotrimeric complex
reactive intermediate deiminase A (RidA, Figures e and S15, assigned
by intact mass and previously identified by top–down native
LESA MSn [26]) was distributed
throughout cortex tissue. In agreement with our observations from
native LESA MSI, regucalcin (Figures f and S16, assigned by intact
mass and previously identified by top–down native LESA MSn [26]) was found with a more
specific distribution than RidA, i.e., to cortex tissue in proximity
to the medulla. Both RidA and regucalcin exhibit strong signals within
the cortical column compared to MUP, which is indicative of differences
in cell specificity. Native nano-DESI provides higher-resolution confirmation
that H-FABP (Figures g and S17, assigned by intact mass and
previously identified by top–down native LESA MSn [26]) is specific to medullary tissue,
as suggested by native LESA MSI.
Figure 2
Native nano-DESI mass spectrometry imaging:
(a) photograph of the
kidney during the production of the section for analysis. (b) Optical
image of the kidney section after native nano-DESI analysis. Ion images
show the distribution of intact proteins throughout the tissue section;
(c) MUP (outer cortex), (d) K-FABP (outer cortex), (e) RidA trimer
(cortex), (f) regucalcin (inner cortex), (g) H-FABP (medulla), (h)
S100-A6 dimer (medulla, renal pelvis) (i) ALBP (renal pelvis adipose
tissue), (j) PEBP1 (bulk tissue), (k) αH (vasculature),
and (l) αβ2H (vasculature). Images showing
additional charge states are found in Figures S13–S18, S20, S22, S24, and S25.
Native nano-DESI mass spectrometry imaging:
(a) photograph of the
kidney during the production of the section for analysis. (b) Optical
image of the kidney section after native nano-DESI analysis. Ion images
show the distribution of intact proteins throughout the tissue section;
(c) MUP (outer cortex), (d) K-FABP (outer cortex), (e) RidA trimer
(cortex), (f) regucalcin (inner cortex), (g) H-FABP (medulla), (h)
S100-A6 dimer (medulla, renal pelvis) (i) ALBP (renal pelvis adipose
tissue), (j) PEBP1 (bulk tissue), (k) αH (vasculature),
and (l) αβ2H (vasculature). Images showing
additional charge states are found in Figures S13–S18, S20, S22, S24, and S25.A nocovalent homodimer previously undetected by native MSI was
observed and identified as S100-A6 protein (Figure h; see below and Figures S18 and S19 for identification). The S100-A6 homodimer was
found within some medullary tissue and an area of the renal pelvis.
The monomeric form of this protein is the likely identity of an “unidentified”
protein at m/z 9940 in a previous
MALDI MSI study, which shows similar distribution to that observed
here.[6] Another newly identified protein
was adipocyte lipid-binding protein (ALBP, Figures i and S20; identification
in Figure S21). The specificity of the
ALBP image is indicative of the adipose tissue surrounding the renal
pelvis (renal sinus). Figure j shows the distribution of a further newly identified protein
by native MSI, phosphatidylethanolamine-binding protein 1 (PEBP1, Figure S22; identification in Figure S23) to be ubiquitous throughout kidney tissues, with
absence within blood vessels and the renal pelvis.Lastly, the
distributions of holo-α-globin (αH, Figures k and S24, assigned by intact mass and previously identified
by top–down native LESA MSn [26]), and the hemoglobin heterodimer (αβ2H, Figures l and S25) show high specificity to the main blood
vessel, and smaller blood vessels within the bulk tissue. The blood
vessels are evident as dark regions in images for proteins not found
within the blood (Figure S26).
Spatial Resolution
Prior to this work, the only existing
demonstration of native MSI of tissue makes use of native LESA. Previous
work with LESA resulted in images featuring pixel size of 1 mm ×
1 mm, each pixel representing a discrete sampling point of approximately
0.6 mm diameter. (The discrepancy between sampling area and pixel
size is discussed above.) In contrast, nano-DESI is a raster mode
technique. The sampling probe used here had a footprint of ∼200
μm in its largest dimension and the native nano-DESI images
have a pixel size of 200 μm × 200 μm, accordingly.
The Orbitrap Eclipse is a trapping instrument and controls the number
of ion charges introduced to either the orbitrap or linear ion trap
mass analyzers, by use of automatic gain control (AGC). If the AGC
threshold is not reached, injection of ions occurs after a predefined
time (“maximum injection time”). For native nano-DESI
of kidney, the maximum injection time was set to 500 ms, resulting
in a minimum of 2 mass spectra/s. The 200 μm × 200 μm
pixels are representative of 10 s of data acquisition since the sample
stage was moved at 20 μm/s. Scans were box summed. Signal to
noise ratio per pixel is improved because of the summation of signal
from multiple scans. The nano-DESI pixels represent a 25× smaller
area (0.04 mm2) versus published native LESA MSI (1 mm2)[16,26] and vascular features of approximately 200
μm across were resolved (Figure a–c). Figure a shows blood vessels approximately 200 μm across
visible in the photograph of the kidney during sectioning. The ion
image of holo-α-globin (m/z 3163.3, Figure b)
shows the blood vessels resolved. An optical image of the analyzed
tissue section shows the blood vessels highlighted in Figure c.
Figure 3
(a) Pattern of four blood
vessels was observable on the kidney.
The blood vessels (∼200 μm across) are resolved in ion
images for m/z 3163.3 (holo-α
globin) with pixel dimensions of (b) 200 μm × 200 μm.
(c) Optical image of the tissue section post-analysis; blood vessels
are highlighted with the red circles. (d, e) Extracted ion chronograms
for m/z 3040.3 (apo-α-globin)
allow approximation of spatial resolution. Tailing of the signal suggests
the resolving power is closer to 200 μm.
(a) Pattern of four blood
vessels was observable on the kidney.
The blood vessels (∼200 μm across) are resolved in ion
images for m/z 3163.3 (holo-α
globin) with pixel dimensions of (b) 200 μm × 200 μm.
(c) Optical image of the tissue section post-analysis; blood vessels
are highlighted with the red circles. (d, e) Extracted ion chronograms
for m/z 3040.3 (apo-α-globin)
allow approximation of spatial resolution. Tailing of the signal suggests
the resolving power is closer to 200 μm.A common approach for estimating nano-DESI resolving power is to
determine the distance in which the relative signal intensity changes
from 20 to 80%.[21,38] This estimate requires steep
changes in signal on defined features; as such, only vascular features
are suitable for this evaluation in the current study because of the
intense apo-α-globin signals obtained. Figure d,e approximate the resolving power by this
method to be ∼44 μm, although this is likely overestimated.
Due to the probe footprint, the signal tails and so the resolving
power is better approximated to be around 200 μm, which correlates
with the size of the resolved features and probe size. Nevertheless,
the ability to resolve small vascular features in this first native
nano-DESI MSI report shows comparable resolving power to that of raster
mode imaging of proteins from tissue, previously only reported under
denaturing conditions using DESI,[9] LMJ-SS,[39,40] and nano-DESI[11,12] (typically ≥150 μm
laterally).
Native Nano-DESI MSn Used for
In Situ Top–Down
Proteomics
Native nano-DESI also provides a convenient sampling
platform for location-specific tandem mass spectrometry (MSn) identification of intact proteins and complexes. MSn spectra can be generated by raster-mode sampling within the region
of tissue where the protein signal of interest is most intense, guided
by the mass spectrometry images. Raster mode sampling at a slow rate
is beneficial to maintaining signal intensity, which otherwise decreases
by an order of magnitude after ∼5 min if the probe is set in
a static position (see Figure S27). The
ability to perform location-targeted MSn is evidence of
the reproducibility between serial tissue sections. Figure shows the identification of
an intact homodimer, protein S100-A6 (∼18.88 kDa), which was
new to our in situ analyses of proteins in the rat kidney (see also
above). The most intense dimer signal (8+) overlapped with
the 4+ charge state of the monomer (Figure a), but this was difficult to ascertain with
high-resolution MS alone. PTCR was used to confirm the presence of
the 8+ dimer (Figure b), with a series of charge-reduced ions being produced.
The intensity distribution, which typically exhibits lower intensity
for successively lower charge states, was indicative of overlap between
monomer and dimer signals. HCD MS2 of ions with m/z 2487.3 ± 2.5 (Figure c) confirmed the presence of
the dimer; monomer subunits were detected as dissociation products
in 5+ (Figure d), 4+, and 3+ (Figure e) charge states along with sequence fragments
enabling identification (Figure f).
Figure 4
Identification of S100-A6 protein dimer. (a) The precursor
ion
signal showed overlap of two charge states. (b) PTCR-enabled determination
of an 8+ charge state obscured by the 4+ signal.
(c) HCD MS2 (NCE = 42%) of m/z 2487.3 ± 2.5 (average of 148 scans from a raster line scan
through the renal pelvis) dissociated the 8+ dimer to 5+ (d) and 4+ and 3+ (e) subunits, and
produced sequence ions noted in (f).
Identification of S100-A6 protein dimer. (a) The precursor
ion
signal showed overlap of two charge states. (b) PTCR-enabled determination
of an 8+ charge state obscured by the 4+ signal.
(c) HCD MS2 (NCE = 42%) of m/z 2487.3 ± 2.5 (average of 148 scans from a raster line scan
through the renal pelvis) dissociated the 8+ dimer to 5+ (d) and 4+ and 3+ (e) subunits, and
produced sequence ions noted in (f).Small molecules bound to proteins can be investigated by a similar
approach. Figure S28 shows HCD MS2 of the 9+ charge state of hemoglobin dimer αβ2H, resulting in monomer, polypeptide sequence fragments, and
heme ions. Subsequent HCD MS3 of the heme ions provided
a characteristic product ion. The same strategy was used to identify
somatic cytochrome C, a protein in which the heme group is covalently
bound to the protein (Figure S29). HCD
MS2 of the precursor ion at approximately m/z 2022.86+ provided two major product
ions indicating the dissociation of both covalent bonds between heme
and the cysteine residues. HCD MS3 of the singly charged
product (m/z 617.2) confirmed its
identity as heme. Notably, it featured an additional proton compared
to the noncovalently bound heme from hemoglobin complexes, as a result
of the covalent bond cleavage.[41]The combination of low signal intensity, spectral overlap, and
high molecular weight (MW) (>30 kDa) still poses a significant
challenge
for in situ top–down identifications. Here, we have made use
of PTCR to provide molecular weights for a series of low-abundance
proteins with MW approximately 36 kDa (Figure ) that were not determinable with high-resolution
MS. Figure c shows
an example of two overlapping proteins at m/z 3268 that would produce convoluted MS2 spectra
but are differentiated by PTCR.
Figure 5
PTCR-enabled charge state determination for low-abundance proteins,
which cannot be isotopically resolved by high-resolution MS. (a) m/z 3315.9411+ (36.5 kDa), the
5+ charge state of S100-A6 is also detected due to overlap
of the (unknown) 11+ precursor with the (S100-A6 dimer)
6+ precursor. (b) m/z 3247.0711+ (35.7 kDa), (c) m/z 3268.259+/11+ (29.4/35.9 kDa) indicated the
presence of two overlapping signals within the isolation window. (d) m/z 3632.9710+ (36.3 kDa).
PTCR-enabled charge state determination for low-abundance proteins,
which cannot be isotopically resolved by high-resolution MS. (a) m/z 3315.9411+ (36.5 kDa), the
5+ charge state of S100-A6 is also detected due to overlap
of the (unknown) 11+ precursor with the (S100-A6 dimer)
6+ precursor. (b) m/z 3247.0711+ (35.7 kDa), (c) m/z 3268.259+/11+ (29.4/35.9 kDa) indicated the
presence of two overlapping signals within the isolation window. (d) m/z 3632.9710+ (36.3 kDa).Adipocyte lipid-binding protein (ALBP, 14.7 kDa)
was identified
by native nano-DESI HCD MS2. Inspection of the ion image
for m/z 20937+ showed
the most intense signal in the renal pelvis; therefore, nano-DESI
MS2 was performed in this region. Figure S21a shows the HCD MS2 spectrum, with Figure S21b,c showing spectral details. The intact
mass and sequence fragments were consistent with an isoform of ALBP
(Figure S21d,e, Uniprot Q5XFV4).The identity of signals at m/z 2589.08+ was tentatively assigned by intact mass alone
(PEBP1, ∼20.7 kDa) using PTCR but was challenging to confirm
by fragmentation (Figure S23). As the protein
was homogeneously distributed and of low relative signal intensity,
the strategy was to run line scans across the kidney cortex tissue.
Optimization remains difficult in this situation due to low signal
intensity per scan and represents the practical limit for top–down
experiments of this manner. Still, two isotopically resolved main
sequence product ions were detected by CID MS2 after two
line scans through cortex tissue. Both fragments were the result of
cleavage at Asp-Pro in the sequence of PEBP1, which have the highest
propensity for cleavage for native proteins under collisional activation.[42]
Conclusions
Adaptation of nano-DESI
for native MSI resulted in considerable
improvements in the ability to resolve small tissue features and tissue
morphology compared with previous reports of native MSI using LESA.
For proteins detected in rat kidney by native nano-DESI MSI that have
previously been reported with native LESA MSI, there is strong agreement
between the low-resolution LESA images reported and these new higher-resolution
nano-DESI images, but now with the ability to resolve finer details
of kidney anatomy. Location-targeted native nano-DESI MSn enabled novel proteins to be identified in situ, including the noncovalent
homodimer S100-A6. The largest protein detected was the RidA trimer
(42.6 kDa). PTCR shows promise as a technique for deconvoluting overlapping
signals in low-resolution mass spectra and determining the MW of low-intensity
proteins in in situ top–down experiments.Native MSI
can now be applied to studies requiring finer features
of tissue sections to be resolved, potentially allowing protein–ligand
complexes to be studied with greater tissue-type specificity, e.g.,
in pharmaceutical development. A route to even higher spatial resolution
includes more finely produced solvent capillaries, but would likely
correspond with weaker signal intensity. An oversampling approach
could be used, but this would need to be validated as suitable for
native protein analysis and may further reduce already weak ion signals.
Alternatively, microscopy-assisted resolution improvements demonstrated
by Lin et al. offer the possibility of improvement through software
approaches.[12]
Authors: Son N Nguyen; Ryan L Sontag; James P Carson; Richard A Corley; Charles Ansong; Julia Laskin Journal: J Am Soc Mass Spectrom Date: 2017-07-28 Impact factor: 3.109
Authors: Kyana Y Garza; Clara L Feider; Dustin R Klein; Jake A Rosenberg; Jennifer S Brodbelt; Livia S Eberlin Journal: Anal Chem Date: 2018-06-15 Impact factor: 6.986
Authors: Ashley N Ives; Taojunfeng Su; Kenneth R Durbin; Bryan P Early; Henrique Dos Santos Seckler; Ryan T Fellers; Richard D LeDuc; Luis F Schachner; Steven M Patrie; Neil L Kelleher Journal: J Am Soc Mass Spectrom Date: 2020-06-24 Impact factor: 3.109
Authors: Oliver J Hale; Emma K Sisley; Rian L Griffiths; Iain B Styles; Helen J Cooper Journal: J Am Soc Mass Spectrom Date: 2020-03-11 Impact factor: 3.109
Authors: Manxi Yang; Hang Hu; Pei Su; Paul M Thomas; Jeannie M Camarillo; Joseph B Greer; Bryan P Early; Ryan T Fellers; Neil L Kelleher; Julia Laskin Journal: Angew Chem Int Ed Engl Date: 2022-05-17 Impact factor: 16.823
Authors: Pei Su; John P McGee; Kenneth R Durbin; Michael A R Hollas; Manxi Yang; Elizabeth K Neumann; Jamie L Allen; Bryon S Drown; Fatma Ayaloglu Butun; Joseph B Greer; Bryan P Early; Ryan T Fellers; Jeffrey M Spraggins; Julia Laskin; Jeannie M Camarillo; Jared O Kafader; Neil L Kelleher Journal: Sci Adv Date: 2022-08-10 Impact factor: 14.957
Authors: Eva Illes-Toth; Oliver J Hale; James W Hughes; Nicole Strittmatter; Jonathan Rose; Ben Clayton; Rebecca Sargeant; Stewart Jones; Andreas Dannhorn; Richard J A Goodwin; Helen J Cooper Journal: Angew Chem Int Ed Engl Date: 2022-07-13 Impact factor: 16.823