Anna Schoeberl1, Michael Gutmann2, Sarah Theiner1, Martin Schaier1, Andreas Schweikert1,3, Walter Berger2, Gunda Koellensperger1. 1. Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, 1090 Vienna, Austria. 2. Institute of Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8A, 1090 Vienna, Austria. 3. Institute of Inorganic Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 42, 1090 Vienna, Austria.
Abstract
A high-throughput laser ablation-inductively coupled plasma-time-of-flight mass spectrometry (LA-ICP-TOFMS) workflow was implemented for quantitative single-cell analysis following cytospin preparation of cells. For the first time, in vitro studies on cisplatin exposure addressed human monocytes and monocyte-derived macrophages (undifferentiated THP-1 monocytic cells, differentiated M0 macrophages, as well as further polarized M1 and M2 phenotypes) at the single-cell level. The models are of particular interest as macrophages comprise the biggest part of immune cells present in the tumor microenvironment and play an important role in modulating tumor growth and progression. The introduced bioimaging workflow proved to be universally applicable to adherent and suspension cell cultures and fit-for-purpose for the quantitative analysis of several hundreds of cells within minutes. Both, cross-validation of the method with single-cell analysis in suspension for THP-1 cells and with LA-ICP-TOFMS analysis of adherent M0 cells grown on chambered glass coverslips, revealed agreeing platinum concentrations at the single-cell level. A high incorporation of cisplatin was observed in M2 macrophages compared to the M0 and M1 macrophage subtypes and the monocyte model, THP-1. The combination with bright-field images and monitoring of highly abundant endogenous elements such as phosphorus and sodium at a high spatial resolution allowed assessing cell size and important morphological cell parameters and thus straightforward control over several cell conditions. This way, apoptotic cells and cell debris as well as doublets or cell clusters could be easily excluded prior to data evaluation without additional staining.
A high-throughput laser ablation-inductively coupled plasma-time-of-flight mass spectrometry (LA-ICP-TOFMS) workflow was implemented for quantitative single-cell analysis following cytospin preparation of cells. For the first time, in vitro studies on cisplatin exposure addressed human monocytes and monocyte-derived macrophages (undifferentiated THP-1 monocytic cells, differentiated M0 macrophages, as well as further polarized M1 and M2 phenotypes) at the single-cell level. The models are of particular interest as macrophages comprise the biggest part of immune cells present in the tumor microenvironment and play an important role in modulating tumor growth and progression. The introduced bioimaging workflow proved to be universally applicable to adherent and suspension cell cultures and fit-for-purpose for the quantitative analysis of several hundreds of cells within minutes. Both, cross-validation of the method with single-cell analysis in suspension for THP-1 cells and with LA-ICP-TOFMS analysis of adherent M0 cells grown on chambered glass coverslips, revealed agreeing platinum concentrations at the single-cell level. A high incorporation of cisplatin was observed in M2 macrophages compared to the M0 and M1 macrophage subtypes and the monocyte model, THP-1. The combination with bright-field images and monitoring of highly abundant endogenous elements such as phosphorus and sodium at a high spatial resolution allowed assessing cell size and important morphological cell parameters and thus straightforward control over several cell conditions. This way, apoptotic cells and cell debris as well as doublets or cell clusters could be easily excluded prior to data evaluation without additional staining.
Single-cell analysis
based on inductively coupled plasma–mass
spectrometry (ICP-MS) allows investigating heterogeneous cell populations
with regard to cell numbers, cell types, and functionality.[1,2] Over the last decade, elemental single-cell analysis of cells in
suspension[3−9] has evolved to the established strategy of mass cytometry, successfully
applied in clinical routines. More recently, the potential of imaging
strategies by laser ablation (LA)-ICPMS was recognized and has triggered
a wave of exciting studies.[10−16] Newest technologies of low-dispersion laser ablation setups have
enabled the analysis of single cells and (sub-)cellular imaging (with
spot sizes down to 1 μm) at pixel acquisition rates of >200
Hz.[17,18] Time-of-flight mass spectrometers (TOF-MS)
offer ideal platforms to assess multiple isotopes/elements within
short transient signals, generated either by the introduction of single
cells in suspension (300–400 μs) or by low-dispersion
laser ablation setups (low ms regime).[17,19] To date, single-cell
analysis of cells in suspension remains unrivaled in terms of throughput.
It is the state-of-the-art to perform multiplex analysis of up to
1000 cells/s in mass cytometry.[20,21] Barcoding strategies
allow us to analyze multiple samples within one analytical run.[22−25] As a drawback, information on cell morphology and cell size, resulting
in different transport efficiencies is precluded and needs to be addressed
for unbiased analysis of a heterogeneous cell population. The state-of-the-art
of single-cell analysis enabled by ICP-MS (including mass cytometry)
is summarized elsewhere.[1,2] Compared to single-cell
analysis in suspension, bioimaging methods reveal the spatial arrangement
of cell populations, which is an essential information. In fact, the
cross-talk of proximal cells is accepted as a major factor dynamically
driving cell functionality and cell states. In addition to proximity,
cell size and cell morphology can be easily assessed via combination
with microscopic images or with nondisruptive techniques (prior to
LA).[26,27] As a major drawback, today, most LA-ICPMS
studies cover only the investigation of comparably low cell numbers,
hampering statistical evaluation and thus biological interpretation.
Therefore, method-oriented studies are of paramount importance, focusing
on advancement of spatial resolution,[10,18] throughput,[17,19] and quantification strategies,[28−30] as well as on the evaluation
of endogenous elemental patterns as cell markers.[11,31,32]Concerning sample types, LA-ICPMS
imaging of single cells has covered
tissue samples,[33] cell smears (or cell
thin films),[11] chambered glass coverslips
with cells directly growing on them,[13] cell
arrays produced by a piezo-acoustic microarrayer,[34] and cytospins,[14−16] where cells are deposited on
glass slides through centrifugal forces. In tissue sections, the heterogeneous
and very dense cell population poses a challenge for the detection
of single-cell boundaries. Cell smears represent a well-suitable matrix,
but it has to be paid attention to the shear forces produced by the
preparation of cell smears, which can easily damage cells. Analysis
of chambered glass coverslips represents the approach where minimal
sample preparation is required, but which is limited to adherent cell
models. Moreover, only tight control of confluence ensures monolayers
of separated single cells. The production of cytospins allows the
concentration of cells on a small given area with an even distribution,
the possibility of producing multiple slides per sample,[35] and the simple removal of the culture media
during production.[12,35] Evidently, the analysis of tissue
samples at single-cell resolution requires more advanced imaging/staining
strategies to resolve single cells. Managh et al. implemented cytospins
of human CD4+ T cells addressing the uptake of Gd-based contrast agents
for magnetic resonance imaging (MRI) by LA-ICPMS. Cytospins were used
for cell deposition, and full ablation of the cells was achieved using
a spot size larger than the diameter of the cells. The uptake was
assessed in a qualitative manner considering several hundreds of cells.[12] The method was applied for in vivo tracking
of rare cells, and in a subsequent study, also Au-tagged human regulatory
macrophages were investigated in immunodeficient mice.[36] Using blood smear samples of patients undergoing
cisplatin chemotherapy, qualitative multielement analysis of several
hundred single blood cells enabled differentiation of cell types based
on LA-ICP-TOFMS and unsupervised statistical analysis.[11] One study reported on single-cell arraying of
THP-1 cells and potential quantitative LA-ICP-TOFMS analysis using
microdroplet standards.[34] Recently, multimodal
imaging studies have emerged for single-cell analysis.[37] In this context, alveolar macrophages exposed
to nanoparticles were investigated by synchrotron radiation micro
X-ray fluorescence spectroscopy (SR-μXRF) and LA-ICPMS. This
multimodal study showed that quantitative nanoparticle accumulation
in vitro was comparable to in vivo samples.[26] SR-XRF and LA-ICPMS were also combined to study the quantitative
Cu uptake in around 100 single cells of a model organism.[28] Van Acker et al. showed the potential of hybrid
labels carrying fluorophores and metal labels enabling the combined
use of confocal fluorescence microscopy and LA-ICPMS on the same sample.
The expression levels of two receptor proteins were quantitatively
assessed by LA-ICPMS in breast cancer cells grown on glass chamber
slides.[13] Imaging mass cytometry (IMC)
combines high-resolution laser ablation and ICP-TOFMS detection to
perform highly multiplexed single-cell analysis on tissue sections
that are stained with metal-conjugated antibodies at (sub-)cellular
resolution. A pioneering study by Giesen et al. showed the possibilities
of this new method by mapping 32 proteins[38] in tumor sections after labeling with lanthanide tags using a 1
μm beam. Subsequently, the potential of IMC was shown for a
vast number of applications in the clinical context.[39,40]This work introduces a validated workflow capable of the quantitative
multielement analysis in several hundreds of single cells at unprecedented
throughput (few minutes) using a low-dispersion LA setup in combination
with ICP-TOFMS detection. This fundamental study will focus on monocytes
and monocyte-derived macrophage subtypes exposed to the clinically
used chemotherapeutic drug cisplatin. Monocyte-derived macrophages
are mononuclear phagocytes of the myeloid origin and represent an
important part of the innate immune response as first-line defense
against pathogens. They are characterized by high phagocytic and secretory
activity, distinct plasticity, and a marked dynamic responsiveness
to changes in the microenvironment. An imbalance of distinct macrophage
subtypes is implicated in cancer, and tumor-associated macrophages
(TAMs) represent the most abundant tumor-infiltrating immune cell
type.[41−43] Knowledge regarding the effect and response of macrophages
and macrophage subtypes toward metal-based anticancer drug chemotherapy
is limited, and dissection at the single-cell level is required to
elucidate the heterogeneity of polarized macrophage subtypes regarding
drug uptake, accumulation, and intracellular distribution.[44−46]
Experimental Section
Chemicals and Reagents
Ultrapure
water (18.2 MΩ
cm, ELGA Water purification system, Purelab Ultra MK2, U.K.) was used
for all dilutions for ICP-MS measurements. A multielement stock solution
and single-element standard solutions were purchased from Labkings
(Hilversum, The Netherlands). The transport efficiency of the single-cell
ICP-MS introduction system was determined using the EQ Four Element
Calibration Beads (Fluidigm, San Francisco, CA) and 100 nm colloidal
gold nanoparticles (mean diameter 101.2 nm, 5.60 × 109 particles mL–1) (BBI Solutions, U.K.). Gelatin
(from cold-water fish skin) was obtained from Sigma-Aldrich (Vienna,
Austria). A Cell-ID Intercalator-Ir (125 μM), a Cell-ID Intercalator-Rh
(500 μM), an anti-pH2AX 165Ho-labeled antibody, and
a Maxpar Fix and Perm Buffer were purchased from Fluidigm (San Francisco,
CA). The target retrieval solution (pH 9) for antigen retrieval was
purchased from Agilent Technologies (Waldbronn, Germany).Sample
preparation (except cell culture) and all ICP-MS measurements were
carried out in clean room ISO class 5 and 4, respectively. All cell
culture media and reagents were purchased from Sigma-Aldrich (St.
Louis, MO), and all plastic dishes, plates, and flasks were obtained
from StarLab (Hamburg, Germany) unless stated otherwise. Cisplatin
was synthesized at the Institute of Inorganic Chemistry, University
of Vienna, according to literature procedures.[47] TrypLE Express with phenol red (Gibco, Fisher Scientific,
Roskilde, Denmark) was used for gentle cell detachment from culture
plastic following the instructions of the manufacturer.
Cell Culture
See the Supporting Information for details concerning cell culture experiments.
SC-ICP-TOFMS
Single-cell ICP-MS analysis of THP-1 cells
(in suspension) was performed on an icpTOF 2R ICP-TOFMS
instrument from TOFWERK AG (Thun, Switzerland). The cell samples were
introduced using a single-cell introduction system from Glass Expansion
(Port Melbourne, Australia) consisting of a concentric glass micro-nebulizer
and a low volume, on-axis spray chamber, where a sheath gas is installed
to achieve less cell deposition and higher transport efficiencies.
A syringe pump (Spetec GmbH, Erding, Germany) with a low-volume syringe
(Hamilton Company, Reno, NV) was used to provide a constant flow of
10 μL min–1. The measurements were performed
in time-resolved analysis using an integration time of 3 ms. The ICP-TOFMS
was optimized daily to achieve highest intensities while keeping the
oxide level and doubly charged ratio below 5%. The standard operation
mode was used, which balances mass resolving power, sensitivity, and
ion transmission across the entire mass range and which allows the
analysis of ions from m/z = 14 to
256. The instrument was equipped with a torch injector with an inner
diameter of 2.5 mm and nickel sampler and skimmer cones with a skimmer
cone insert of 2.8 mm in diameter. A radio-frequency power of 1550
W, an auxiliary Ar gas flow rate of 0.80 L min–1, and a plasma Ar gas flow rate of 14 L min–1 were
used. The nebulizer gas flow was set to 0.40 mL min–1 and the additional Ar gas flow rate was set to 45% of the maximum
flow rate provided by the internal mass flow controller of the instrument.
Instrumental parameters are summarized in Table S1.
LA-ICP-TOFMS
All laser ablation
measurements were carried
out with an Iridia 193 nm laser ablation system (Teledyne Photon Machines,
Bozeman, MT) coupled to an icpTOF 2R ICP-TOFMS instrument
(TOFWERK AG, Thun, Switzerland). The laser ablation system is equipped
with an ultrafast ablation cell[18] in the
cobalt ablation chamber and the aerosol rapid introduction system
(ARIS). The ARIS was used to introduce an Ar makeup gas flow (∼
0.90 L min–1) into the optimized He carrier gas
flow (0.60 L min–1) before entering the plasma.
The laser ablation settings and ICP-TOFMS settings were optimized
on a daily basis to achieve high intensities for 26Mg+, 59Co+, 115In+, and 238U+ while keeping the oxide level (based
on 238U16O+/238U+) below 2% and the laser-induced elemental fractionation (based on 238U+/232Th+) around 1. A
NIST SRM612 glass-certified reference material (National Institute
for Standards and Technology, Gaithersburg, MD) was used for optimization.
Laser ablation was performed using a square spot size of 5 μm,
a fixed dosage of 2, and the line scans were overlapping in the y-direction
by 2.5 μm, which resulted in a pixel size of 2.5 × 2.5
μm2. A repetition rate of 200 Hz and a fluence of
0.60 J cm–2 were used for complete ablation of the
biological material and the gelatin micro-droplet standards without
ablating the glass. The standard operation mode was used, which balances
mass resolving power, sensitivity, and ion transmission across the
entire measured mass range and which allows the analysis of ions from m/z = 14 to 256. The integration and read-out
rate were optimized to match the laser ablation repetition rate. Instrumental
parameters for LA-ICP-TOFMS measurements are summarized in Table S1.
Data Acquisition and Processing
of ICP-TOFMS Data
Data
were recorded using TofPilot 1.3.4.0 (TOFWERK AG, Thun, Switzerland)
and saved in the open-hierarchical data format (HDF5, www.hdfgroup.org). Post-processing
of the data was performed in Tofware v3.2.0, a TOFWERK data analysis
package, which is used as an add-on on IgorPro (Wavemetric, Inc.,
OR). The data processing included the following steps: (1) drift correction
of the mass peak position in the spectra over time via time-dependent
mass calibration, (2) determining the peak shape, and (3) fitting
and subtracting the mass spectral baseline. The data were exported
as CSV files.
Data Processing of the Single-Cell Analysis
in Suspension
SC-ICP-TOFMS data were further processed using
an in-house-written
R-script. For the purpose of extracting cell events from the background
signal, a previously published iterative procedure was used,[49,50] but adapted for a Poisson distributed signal, since for low count
rates, the noise is no longer normal distributed, instead it can more
closely be described as Poisson noise.[51,52] The following
threshold was usedwhere Av is the average concentration of all
events of one sample and Stdv is the standard deviation of the same
events. First, all events containing 195Pt+ signals
above this threshold were marked as single-cell events and removed
from the dataset. With the remaining data points, a new threshold
was set again and the procedure was repeated until no new cell events
above the threshold were found. The approximate transport efficiency
of the cells was calculated using metal-labeled polystyrene beads
(Fluidigm). Quantification of Pt in the cell events was performed
by external calibration using liquid platinum standards according
to eq [3]where mc is the
mass of the element in the cell, η is the transport efficiency
of the liquid standards, F is the sample flow, t is the integration time, I is the intensity
of the isotope (after subtracting the background), and b is the slope of the calibration curve. For the liquid standards,
a transport efficiency of 100% was assumed, which was already proven
for such low flow rates in a study by Stefánka et al.[53]
Data Processing of LA-ICP-TOFMS Analysis
The LA-ICP-TOFMS
data were further processed in HDIP-v1.5.5, a laser ablation software
provided by Teledyne Photon Machines (Bozeman, MT). First, the bright-field
images of the area of interest prior to ablation were aligned with
the signal intensity maps of 31P obtained by LA-ICP-TOFMS
analysis. The bright-field images were used for cell segmentation,
where microscope images are split into segments containing individual
cells. Finally, the selected areas were transferred to the aligned
signal intensity maps and the sum intensity and the equivalent diameter
were exported for each isotope and segment.Quantification of
LA-ICP-TOFMS data was based on a multipoint calibration using gelatin-based
microdroplet standards as described by Schweikert et al.[29] Briefly, a CellenONE X1 micro-spotter and cell
arrayer (Cellenion, Lyon, France) was used to produce arrays of gelatin
microdroplets of around 400 ± 5 pL (resulting in droplet diameters
of around 200 μm), containing multielement standard solutions
onto glass slides. After spotting, the droplets dry within seconds
due to their small size. The gelatin droplets were quantitatively
ablated by LA-ICP-TOFMS, and the sum of the elemental signal intensities
was extracted via HDIP and used for external calibration.
Results
and Discussion
Validation of the Cytospin-LA-ICP-TOFMS Method
Studying
cellular uptake and accumulation of metal-based anticancer drugs at
the single-cell level in a quantitative manner demands for thorough
validation as trueness bias arising either from cellular manipulations
prior to analysis and/or from cell size effects in the introduction
system can potentially jeopardize the accuracy. Therefore, in this
study, cross-validation experiments were performed comparing quantitative
single-cell analysis as obtained by orthogonal LA-ICP-TOFMS imaging
of single cells deposited on surfaces and single-cell analysis in
suspension. The investigated methods relied on independent calibration
strategies. For LA-ICP-TOFMS analysis, quantification was enabled
by the use of gelatin-based microdroplet standards, as described previously.[29] The human monocytic THP-1 cell line upon cisplatin
exposure was selected as it represents a widely used in vitro model
to study macrophage differentiation and polarization toward different
activation states. In comparison to primary human monocyte-derived
macrophages isolated from peripheral blood, THP-1 cells exhibit no
variation between different donors and are therefore ideally suited
to reproducibly investigate the characteristics of macrophage subtypes.[44] Being a suspension culture, the sample preparation
steps for solution measurements could be minimized. In the case of
imaging, cytospin deposition was addressed. This method enables the
deposition of a monolayer of well-confined cells from a cell suspension
onto a defined, circular area on a slide resulting in an even distribution
of the cells enabling straightforward automated data evaluation. Cytospins
are widely applied in cytology, histology, and hematology, but only
a few studies have discussed the use of cytospins for LA-ICPMS.[14−16] Especially, to the best of the author’s knowledge, its application
for in vitro studies on metal-based anticancer drugs is novel. Figure A represents a bright-field
image of deposited THP-1 cells (exposed to cisplatin), visualizing
their morphology and size. LA-ICP-TOFMS imaging of several hundreds
of cells was performed within minutes at a spatial resolution of 2.5
× 2.5 μm2 (Figure B,C,D). The rapid measurements were followed
by automated data evaluation. The implemented software together with
the high spatial resolution enabled by the low-dispersion LA setup
allowed automated recognition of cells and cellular boundaries based
on bright-field images and subsequent alignment of microscopy images
with LA-ICPMS-related signal intensity maps (using abundant elements,
here 31P). After setting cell-specific parameters including
lower and upper diameters, minimum circularity, and minimum convexity,
the sphere equivalent diameter of each cell together with the intensity
integral over the selected areas was calculated. For the investigated
THP-1 cells, a diameter in the range of 15–20 μm was
observed based on their sodium and phosphorus contents (Figure B,C). As a key advantage, the
high throughput of the LA-ICP-TOFMS approach enabled to measure sample
replicates and calibration routines comparable to liquid ICP-MS analysis
based on multipoint gelatin microdroplet standards.[29]
Figure 1
(A) Bright-field image of THP-1 cells prepared by cytospin prior
to ablation. Signal intensity maps of (B) 23Na+ and (C) 31P+, obtained by LA-ICP-TOFMS imaging.
(D) Map of the total amount of Pt (fg) in THP-1 cells after treatment
with 10 μM cisplatin for 6 h. The following laser ablation parameters
were used: square laser spot size of 5 μm, fixed dosage mode
of 2, repetition rate of 200 Hz, and the parallel lines overlapped
one another by 2.5 μm. (E) Box plot depicting the concentration
of Pt in THP-1 cells treated with 10 μM cisplatin for 6 h obtained
by LA-ICP-TOFMS (orange) or SC-ICP-TOFMS analysis (blue). The validation
is based on ∼1000 cells for LA-ICP-TOFMS and ∼20 000
cells for solution-based analysis.
(A) Bright-field image of THP-1 cells prepared by cytospin prior
to ablation. Signal intensity maps of (B) 23Na+ and (C) 31P+, obtained by LA-ICP-TOFMS imaging.
(D) Map of the total amount of Pt (fg) in THP-1 cells after treatment
with 10 μM cisplatin for 6 h. The following laser ablation parameters
were used: square laser spot size of 5 μm, fixed dosage mode
of 2, repetition rate of 200 Hz, and the parallel lines overlapped
one another by 2.5 μm. (E) Box plot depicting the concentration
of Pt in THP-1 cells treated with 10 μM cisplatin for 6 h obtained
by LA-ICP-TOFMS (orange) or SC-ICP-TOFMS analysis (blue). The validation
is based on ∼1000 cells for LA-ICP-TOFMS and ∼20 000
cells for solution-based analysis.For the investigated cell model, a limit of detection of 0.012
fg platinum per cell was calculated for LA-ICP-TOFMS analysis (using
the method by Longerich et al.[54]). The
calculation considered the LOD for individual pixels multiplied by
the average number of pixels per cell. It has to be taken into account
that in the scale of the LA-ICP-TOFMS images, the amount of Pt per
pixel is shown and not the Pt amount per cell resulting in lower values.
For suspension analysis, external calibration of platinum relied on
liquid standards.[3] Therefore, the Pt amount
per cell was inferred from the signal height of the single-cell events
calibrated by liquid standards and assuming a transport efficiency
of 100%, which is a typical value for that low flow rate when using
a full consumption introduction system. The transport efficiency of
polystyrene beads with a diameter of 4 μm was assessed to report
on the actual cell number bias. Typically, a share of 20% was successfully
transported to the plasma. The LOD was calculated to 0.066 fg platinum
per cell event, being in the same order of magnitude as the LOD assessed
for LA-ICP-TOFMS analysis. One major disadvantage of single-cell analysis
in suspension is that this method suffers from size-dependent transport
efficiencies, leading to a discrimination of larger cells.[2,55] While the cell size can be directly assessed in high-resolution
bioimaging experiments, dedicated labeling strategies[56,57] are employed to infer information on cell size for single-cell analysis
in suspension. However, in this study, the narrow size distribution
of the THP-1 cells allowed omitting this step and thus facilitated
the cross-validation of the two orthogonal approaches. Only platinum
detection served for cell event assignment. As can be seen in Figure E, both methods were
in good agreement with regard to platinum levels assessed in the THP-1
cell model. The values ranged from 0.46 to 1.22 fg cell–1 and from 0.12 to 0.54 fg cell–1 (25–75
percentile) for LA-ICP-TOFMS analysis and solution-based ICP-TOFMS
analysis, respectively. A Welch two-sample t-test
was applied to test if the mean of group A (laser ablation ICP-TOFMS
analysis) is equal to the mean of group B (suspension analysis). The
test showed that the difference was not statistically significant
(p-value = 0.0504). The validation was based on ∼1000
cells for laser ablation and ∼20 000 cells for solution-based
analysis. As a result of the integration time of 3 ms in solution
measurements, most likely double cell events could not be excluded,[5] explaining the observed cell events with higher
platinum levels and thus larger distribution as compared to bioimaging
experiments.In a next step, the LA-ICP-TOFMS analysis of adherent
macrophage
cell models at the single-cell level was validated. To generate cytospin
samples from adherent cell models, the sample preparation includes
trypsinization followed by cytocentrifugation for cell deposition.
The use of chambered glass coverslips offers the possibility to analyze
adherent cell models directly, omitting detaching and subsequent deposition.
As a major drawback, cell growth potentially expands into three dimensions
at high densities. Thus, the production of nicely separated cells
in monolayers is not straightforward and needs to be carefully optimized
for each in vitro model. Moreover, adhesion/migratory behavior of
different cell types often results in complex contours of cells on
the chambered glass coverslips (Figures A and S1). Both
aspects challenge accurate automated data evaluation/cell segmentation.
Samples of M0 macrophages incubated with cisplatin were prepared following
the two complementary sample preparation strategies. LA-ICP-TOFMS
analysis revealed excellent agreement of total platinum amounts in
single cells (Figure ; 25–75 percentile for chamber slides: 0.63–3.07 fg
cell–1, for cytospins: 0.89–3.13 fg cell–1). In addition, a Welch Two Sample t-test was performed, which resulted in a p-value
of 0.365, therefore, no significant difference could be seen between
those two sample groups. As automated cell segmentation, a prerequisite
for large-scale studies, is facilitated by samples prepared by cytospinning,
the method was preferred over chambered glass coverslips.
Figure 2
Bright-field
images (left) and maps of the total amount of Pt (fg)
obtained by LA-ICP-TOFMS imaging (right) of M0 macrophages, based
on (A) chambered glass coverslips and (B) cytospins. The following
laser ablation parameters were used: square laser spot size of 5 μm,
fixed dosage mode of 2, repetition rate of 200 Hz, and the parallel
lines overlapped one another by 2.5 μm. (C) Box plot showing
the concentration of Pt in M0 macrophages treated with 10 μM
cisplatin for 6 h obtained by LA-ICP-TOFMS analysis of chambered glass
coverslips (left) and cytospins (right). The validation is based on
∼200 cells for chambered glass coverslips and ∼600 cells
for cytospins.
Bright-field
images (left) and maps of the total amount of Pt (fg)
obtained by LA-ICP-TOFMS imaging (right) of M0 macrophages, based
on (A) chambered glass coverslips and (B) cytospins. The following
laser ablation parameters were used: square laser spot size of 5 μm,
fixed dosage mode of 2, repetition rate of 200 Hz, and the parallel
lines overlapped one another by 2.5 μm. (C) Box plot showing
the concentration of Pt in M0 macrophages treated with 10 μM
cisplatin for 6 h obtained by LA-ICP-TOFMS analysis of chambered glass
coverslips (left) and cytospins (right). The validation is based on
∼200 cells for chambered glass coverslips and ∼600 cells
for cytospins.
Exclusion of Dead Cells
after Rh-Labeling
Reliable
identification of dead cells is of major importance for data interpretation
in mass cytometric analysis.[58] The gold
standard for live/dead cell staining in mass cytometry is the incubation
of cells with a high concentration of cisplatin for a short time.
The intact membrane represents a physical barrier for the short exposure
to cisplatin, whereas the diffuse and leaky membrane of dead cells
allows the incorporation of the compound even at this short time scale.[59] This established marker could not be used in
this study as the uptake of cisplatin in cells of the innate immune
system was investigated. Alternatively, a recently introduced Rh intercalator[60] was evaluated as a live/dead cell marker in
a proof-of-principle experiment using THP-1 cells. For this purpose,
THP-1 monocytes were manipulated by heat-killing prior to labeling
with the Rh intercalator. Samples of non-heat-treated THP-1 cells,
a 50:50% mixture of viable and heat-killed cells, and 100% heat-killed
cells were analyzed by LA-ICP-TOFMS (Figure S2). The 31P+ signal (red) was used to visualize
individual cells, whereas an overlay with the 103Rh+ signal (green) identified dead cells. Without heat treatment,
only a few cells could be identified as dead cells (Figure S2A), whereas in sample B, roughly half of the cells
were labeled with Rh (Figure S2B) and in
sample C almost all cells contained Rh, indicating the presence of
dead cells (Figure S2C). Upon comparison
of bright-field images and Rh intensity maps, it was observed that
dead cells could be already identified based on bright-field images
only (some exemplary dead cells are marked with a red circle), due
to the fact that cells displaying a high Rh signal (marked in green)
correlated with either ‘black spots’ or cell debris.The validation experiment was expanded to the macrophage subtypes
M0, M1, and M2. All samples including the monocytic cell line THP-1
and the M0, M1, and M2 macrophages were incubated with the Rh intercalator
prior to fixation and analyzed by LA-ICP-TOFMS measurements (Figure S3), confirming the observation that dead
cells could be identified based on microscopy only (exemplary dead
cells are marked with a red circle). Summarizing, for LA-ICPMS analysis,
the number of sample preparation steps can be minimized by omitting
labeling of dead cells and using cell size markers due to the orthogonal
information provided by bright-field images and the measurement of
endogenous phosphorus. However, when comparing THP-1 cells with M0,
M1, and M2 macrophages, a clear overlay of a high platinum content
with the cell death marker could be observed only in the case of the
THP-1 monocytes but not for the differentiated macrophages. This difference
can be explained by the nonadherent and highly proliferative character
of the monocytes and the adherent and nonproliferative character of
the macrophages, as well as the sample preparation steps included.
At the beginning of an experiment, THP-1 cells are centrifuged, counted,
and set up in the respective wells for cisplatin exposure. This implicates
that dead cells, which are always naturally present in a proliferative
cell culture, remain in the experimental group and are exposed to
cisplatin. In contrast, in the case of adherent macrophage cultures,
the medium together with dead and floating cells is removed before
cisplatin exposure. Therefore, in the case of THP-1 cells, dead cells
will be present at the beginning of the 6 h cisplatin exposure, while
they were removed in the macrophage samples. In the case of macrophages,
cell death might be induced later (after cisplatin exposure) by the
more stressful handling procedure including, e.g., cell trypsinization
and washing. The cell death stain is always added at the very last
step in the cell solution before cytospin preparation. Accordingly,
cells dying during the cell preparation for cytospin (mainly in the
adherent M0, M1, and M2 groups) are death stain-positive but comparably
low in platinum, as they were still alive during cisplatin exposure,
while in THP-1 cells, the dead cells unspecifically bound high platinum
levels. This hypothesis is also supported by the morphology of the
dead THP-1 cells on cytospin, which seems distinctly different (small
and highly condensed) from that observed in the M0, M1, and M2 macrophages
(flatter and more extended).
Comparison of THP-1 Monocytes and M0, M1,
and M2 Macrophages
Finally, the established and validated
single-cell LA-ICP-TOFMS
workflow was applied to study the quantitative cisplatin uptake depending
on the differentiation and polarization state of monocytes and macrophages.
Monocytes can differentiate into macrophages upon specific signals,
and depending on the microenvironment and signaling pattern, these
M0 macrophages can further be polarized into a variety of subtypes
with the most prominent ones being designated as M1 and M2 macrophages.
These subtypes differ in physiology, activity, and function. The anti-inflammatory
M2 state is associated with enhanced tumor growth, angiogenesis, metastasis,
and resistance of tumor cells to chemotherapy, whereas the proinflammatory
M1 phenotype rather induces tumor regression and support anticancer
immunity. In the tumor microenvironment, TAMs have been described
to include both phenotypes, but immune suppression by M2-like macrophages
often dominates. Consequently, macrophages and their role within the
tumor (immune) microenvironment are a current topic in cancer therapy
and M2 macrophages are considered as a therapeutic target.[61−63]Figure illustrates
an increasing platinum incorporation starting with the lowest concentration
in THP-1 cells, followed by M0 and M1 cells and the highest Pt levels
in M2 cells upon cisplatin treatment. These results are further confirmed
by box plots (Figure A; based on several hundred cells for each cell line) and are summarized
in Table S2, with 0.44–1.18 fg cell–1 for THP-1 cells, 0.89–3.13 fg cell–1 for M0, 1.45–4.79 fg cell–1 for M1, and
4.55–14.60 fg cell–1 for M2 (25–75
percentile). The segmentation of single cells was based on bright-field
images, and the segments were transferred to the laser ablation images
after aligning the bright-field images with the signal intensity maps
of 31P+ (Figure S4). To exclude the effect of the cell size on the Pt levels, the Pt
concentration of the cells was normalized by the cell size. The size
of the cells was assessed by the number of pixels of a single cell
and then converted into the equivalent diameter in micrometers. All
cell types showed a similar size in the range of ∼15 μm
diameter (Figure S5), and therefore, it
could be concluded that the observed differences in Pt accumulation
between the investigated cell lines were not cell size dependent (Figure B).
Figure 3
Bright-field images of
THP-1, M0, M1, and M2 cells prepared by
cytospins prior to ablation (left row). Maps of the total amount of
Pt (fg) in (A) THP-1, (B) M0, (C) M1, and (D) M2 cells after treatment
with 10 μM cisplatin for 6 h obtained by LA-ICP-TOFMS imaging
(right row). The following laser ablation parameters were used: square
laser spot size of 5 μm, fixed dosage mode of 2, repetition
rate of 200 Hz, and the parallel lines overlapped one another by 2.5
μm. The images were scaled for the best contrast and not for
a uniform scale of the Pt concentration.
Figure 4
Box plots
showing (A) the concentration of Pt cell–1 and (B)
the concentration of Pt normalized by the cell size of single
THP-1, M0, M1, and M2 cells treated with 10 μM cisplatin for
6 h and measured by LA-ICP-TOFMS. The following laser ablation parameters
were used: square laser spot size of 5 μm, fixed dosage mode
of 2, repetition rate of 200 Hz, and the parallel lines overlapped
one another by 2.5 μm. The results are based on ∼900
cells for THP-1 monocytes, ∼600 cells for M0 and M1, and ∼400
cells for M2 macrophages.
Bright-field images of
THP-1, M0, M1, and M2 cells prepared by
cytospins prior to ablation (left row). Maps of the total amount of
Pt (fg) in (A) THP-1, (B) M0, (C) M1, and (D) M2 cells after treatment
with 10 μM cisplatin for 6 h obtained by LA-ICP-TOFMS imaging
(right row). The following laser ablation parameters were used: square
laser spot size of 5 μm, fixed dosage mode of 2, repetition
rate of 200 Hz, and the parallel lines overlapped one another by 2.5
μm. The images were scaled for the best contrast and not for
a uniform scale of the Pt concentration.Box plots
showing (A) the concentration of Pt cell–1 and (B)
the concentration of Pt normalized by the cell size of single
THP-1, M0, M1, and M2 cells treated with 10 μM cisplatin for
6 h and measured by LA-ICP-TOFMS. The following laser ablation parameters
were used: square laser spot size of 5 μm, fixed dosage mode
of 2, repetition rate of 200 Hz, and the parallel lines overlapped
one another by 2.5 μm. The results are based on ∼900
cells for THP-1 monocytes, ∼600 cells for M0 and M1, and ∼400
cells for M2 macrophages.The most significant increase of platinum incorporation at the
single-cell level was seen in M2 macrophages in comparison to the
other investigated cell types, while THP-1 cells and M0 and M1 macrophages
showed a lower difference relative to each other. The increased uptake
detected in the M2 population might explain the cisplatin hypersensitivity
of this cell type described in the literature.[64−66] However, within
this study, we exclusively aimed at analyzing drug uptake and therefore
chose a short exposure time (6 h) to avoid cisplatin-related cell
death. Interestingly, not only the average Pt concentration in the
four different cell types increased from THP-1 monocytic cells to
M0, M1, and M2, but M2 macrophages also showed the highest degree
of variability in Pt concentrations.Even though no drug-related
cell death could be investigated during
this short exposure time, where cell death is reflecting a spontaneous
event and not a drug effect, a highly increased degree of DNA damage
could already be observed in M2 macrophages in comparison to M1 macrophages
(see Figure S6). These results were in
accordance with the higher Pt incorporation of M2 macrophages leading
to a more severe DNA damage. However, also based on literature data,[64] it is very likely that the cell death rate will
be increased, especially in M2 macrophages based on higher drug uptake,
after a longer incubation time. Moreover, THP-1 monocytic cells are
highly proliferative, whereas upon differentiation into macrophages,
the cells become adherent and cease to proliferate. As DNA replication
in the presence of cisplatin-DNA-cross-links is boosting double-strand
breaks and apoptosis induction, the comparison of proliferative THP-1
with nonproliferative M0, M1, and M2 macrophages specifically for
drug-induced cell death induction is generally challenging.
Conclusions
The established single-cell LA-ICP-TOFMS workflow is characterized
by the quantitative analysis of hundreds of cells within minutes,
allowing statistical evaluation of a heterogeneous cell population.
Cross-validation of the method was achieved by the quantitative analysis
of cells in suspension using ICP-TOFMS. Cytospins proved to be a straightforward
sample preparation strategy generating nicely separated and evenly
distributed cells on a confined area and therefore permitting automated
data evaluation. Automation of single-cell segmentation was further
facilitated by the high-resolution of the approach and the endogenous
elemental pattern of phosphorus and sodium, as measured by LA-ICP-TOFMS.
Importantly, single-cell analysis by LA-ICP-TOFMS allows the direct
assessment of the cell size and morphological parameters, based on
microscopic images without the need for additional labeling approaches.
Prior to data evaluation, apoptotic cells, cell debris, or cell clusters
can therefore be easily excluded. Proof-of-principle experiments of
the developed method on the cisplatin uptake in monocytes and macrophages
revealed high Pt incorporation in M2 macrophages compared to the THP-1,
M0, and M1 cell line. Additionally, a highly increased DNA damage
could be observed in M2 macrophages in comparison to M1 macrophages.
This observation supported previous reports on M2 polarized macrophages,
which were found to be hypersensitive against metal-based anticancer
drugs. The developed single-cell analysis LA-ICP-TOFMS approach can
be expanded to study the quantitative uptake of other metallodrugs
or nanoparticles at the single-cell level.
Authors: Eveline M Dijkgraaf; Moniek Heusinkveld; Bart Tummers; Lisa T C Vogelpoel; Renske Goedemans; Veena Jha; Johan W R Nortier; Marij J P Welters; Judith R Kroep; Sjoerd H van der Burg Journal: Cancer Res Date: 2013-02-22 Impact factor: 12.701
Authors: Marcus von der Au; Max Schwinn; Katharina Kuhlmeier; Claudia Büchel; Björn Meermann Journal: Anal Chim Acta Date: 2019-05-23 Impact factor: 6.558
Authors: Thibaut Van Acker; Stijn J M Van Malderen; Marjolein Van Heerden; James Eric McDuffie; Filip Cuyckens; Frank Vanhaecke Journal: Anal Chim Acta Date: 2016-10-14 Impact factor: 6.558
Authors: Ruth A Franklin; Will Liao; Abira Sarkar; Myoungjoo V Kim; Michael R Bivona; Kang Liu; Eric G Pamer; Ming O Li Journal: Science Date: 2014-05-08 Impact factor: 47.728