This paper addresses the question of whether one can use lanthanide nanoparticles (e.g., NaHoF4) to detect surface biomarkers expressed at low levels by mass cytometry. To avoid many of the complications of experiments on live or fixed cells, we carried out proof-of-concept experiments using aqueous microgels with a diameter on the order of 700 nm as a proxy for cells. These microgels were used to test whether nanoparticle (NP) reagents would allow the detection of as few as 100 proteins per "cell" in cell-by-cell assays. Streptavidin (SAv), which served as the model biomarker, was attached to the microgel in two different ways. Covalent coupling to surface carboxyls of the microgel led to large numbers (>10(4)) of proteins per microgel, whereas biotinylation of the microgel followed by exposure to SAv led to much smaller numbers of SAv per microgel. Using mass cytometry, we compared two biotin-containing reagents, which recognized and bound to the SAvs on the microgel. One was a metal chelating polymer (MCP), a biotin end-capped polyaspartamide containing 50 Tb(3+) ions per probe. The other was a biotinylated NaHoF4 NP containing 15 000 Ho atoms per probe. Nonspecific binding was determined with bovine serum albumin (BSA) conjugated microgels. The MCP was effective at detecting and quantifying SAvs on the microgel with covalently bound SAv (20 000 SAvs per microgel) but was unable to give a meaningful signal above that of the BSA-coated microgel for the samples with low levels of SAv. Here the NP reagent gave a signal 2 orders of magnitude stronger than that of the MCP and allowed detection of NPs ranging from 100 to 500 per microgel. Sensitivity was limited by the level of nonspecific adsorption. This proof of concept experiment demonstrates the enhanced sensitivity possible with NP reagents in cell-by-cell assays by mass cytometry.
This paper addresses the question of whether one can use lanthanide nanoparticles (e.g., NaHoF4) to detect surface biomarkers expressed at low levels by mass cytometry. To avoid many of the complications of experiments on live or fixed cells, we carried out proof-of-concept experiments using aqueous microgels with a diameter on the order of 700 nm as a proxy for cells. These microgels were used to test whether nanoparticle (NP) reagents would allow the detection of as few as 100 proteins per "cell" in cell-by-cell assays. Streptavidin (SAv), which served as the model biomarker, was attached to the microgel in two different ways. Covalent coupling to surface carboxyls of the microgel led to large numbers (>10(4)) of proteins per microgel, whereas biotinylation of the microgel followed by exposure to SAv led to much smaller numbers of SAv per microgel. Using mass cytometry, we compared two biotin-containing reagents, which recognized and bound to the SAvs on the microgel. One was a metal chelating polymer (MCP), a biotin end-capped polyaspartamide containing 50 Tb(3+) ions per probe. The other was a biotinylated NaHoF4 NP containing 15 000 Ho atoms per probe. Nonspecific binding was determined with bovine serum albumin (BSA) conjugated microgels. The MCP was effective at detecting and quantifying SAvs on the microgel with covalently bound SAv (20 000 SAvs per microgel) but was unable to give a meaningful signal above that of the BSA-coated microgel for the samples with low levels of SAv. Here the NP reagent gave a signal 2 orders of magnitude stronger than that of the MCP and allowed detection of NPs ranging from 100 to 500 per microgel. Sensitivity was limited by the level of nonspecific adsorption. This proof of concept experiment demonstrates the enhanced sensitivity possible with NP reagents in cell-by-cell assays by mass cytometry.
One of the goals of
modern bioanalytical chemistry is the simultaneous
(multiplexed) detection of multiple biomarkers in individual cells.
Biomarkers are defined as characteristic proteins, genes, or small
molecules that can be measured and evaluated as indicators of normal
biological or pathogenic processes.[1] In
flow cytometry, bioaffinity agents are labeled with fluorescent dyes
or quantum dots (QDs) to allow rapid cell-by-cell analysis of multiple
biomarkers. One of the limitations of flow cytometry is the breadth
of the emission bands of the luminescent species used as antibody
(Ab) labels. The spillover of overlapping emissions requires compensation
and restricts the number of species that can be detected simultaneously
for each cell. The Roederer group has shown that 18-color flow cytometry
is possible,[2] but this level of multiplexing
is not routine.Mass cytometry is a new technique designed to
address the challenges
of polychromatic flow cytometry by replacing fluorophores with stable
heavy metal isotopes as Ab tags.[3] In this
technique, cells are introduced individually but stochastically into
the plasma torch of an inductively coupled plasma mass spectrometer
(ICP-MS) equipped with time-of-flight detection. Each Ab is labeled
with a specific metal isotope, and the multiplexing capability comes
from instrument’s ability to resolve metal ions that differ
in mass by a single atomic mass unit. To achieve a signal strong enough
for detection by ICP-MS, Abs have to be labeled with multiple copies
of a metal isotope. This has been accomplished with metal-chelating
polymers (MCPs) with 30–80 pendant chelating groups and appropriate
end group functionality.[4−6] Abs labeled with these polymers
typically carry 150–250 metal atoms per Ab.[6] Ln ions are attractive for mass cytometry because of their
low natural abundance, similar chemistry, and the availability of
isotopically enriched samples.The strength of mass cytometry
is the multiparameter capability.[7] For
example, the Nolan group examined regulatory
cell signaling behavior across hematopoietic cells using two 34-parameter
panels that included 31 antibody targets, a DNA intercalator, and
measures of viability and cell size.[8] Newell
et al.[9] reported a 37-parameter study of
virus-specific T cell function and phenotype, and a more recent paper
described T-cell experiments with 109 multiplexed tetramers plus 23
antibody channels.[10] Sample throughput
can be further enhanced with mass-tag cellular barcoding, analogous
to fluorescent cell barcoding.[11] On the
other hand, mass cytometry lacks sensitivity compared to fluorescence
detection. Cellular protein expression levels range from a few copies
to 107 copies per cell,[12] and
many important proteins, such as cytokine receptors, are expressed
at levels too low to detect easily, even by fluorescence.[13] While there are no publications describing the
lower limits of biomarker detection by mass cytometry, a recent paper
reported experiments using an MCP reagent to generate ca. 200 metal
ions per Ab. The authors could detect and quantify target biomarkers
with abundances in the range of 104–107 per cell.[6] The goal of this work is to
demonstrate that by using NaLnF4 nanoparticle reagents[7] in the place of MCPs, it will be possible to
detect much smaller numbers of a particular biomarker per cell than
is possible with MCP reagents.[14]Signal strength for ICP-MS increases linearly with the number of
metal ions of a particular isotope. Thus, if one could attach 10 000
metal atoms per antibody, one might be able to increase the sensitivity
by a factor of 500 and detect as few as 100 copies of a particular
biomarker per cell. Many types of NPs with a 10 nm diameter (the dimensions
of an IgG antibody) contain on the order of 8000–10 000
metal atoms.[15] QDs containing Cd, Se, and
Te can be detected by mass cytometry but are not large enough to be
provide a substantial gains in signal.[16] The most attractive candidates for mass cytometry are NPs related
to Ln-doped NaYF4, which are being developed for optical
up-conversion[17] and NaGdF4,[18] which are being developed as magnetic resonance
imaging contrast agents.While the characteristics of a NP are
determined by the composition
of its core, the coating plays an essential role in bioanalytical
applications. The coating must provide colloidal stability in aqueous
media, prevent aggregation, provide functional groups for bioconjugation,
and suppress nonspecific adsorption. Satisfying all of these criteria
is a daunting task. Not only is the in vitro and in vivo performance of nanoparticles dependent on the size,
charge, hydrophilicity, and flexibility of the coating molecules,
but the number, density, and type of reactive functionality on the
NP surface regulate the interactions between nanoparticles and their
targets.[19] In addition, there is the difficulty
of separating Ab-NP conjugates from excess NPs used in the conjugation
reaction.[20] Finally, there is the ubiquitous
problem of nonspecific interactions. For a reagent to be useful in
a targeted assay, it not only has to recognize the target biomarker
on a cell, but the corresponding signal from the reagent on cells
lacking the biomarker has to be sufficiently small. QDs represent
the most widely studied nanocrystals for target applications, particularly
for polychromatic flow cytometry. They provide a dramatic increase
in the number of parameters that can be measured simultaneously. In
their 2006 Nature Medicine paper describing development
of the 17-color flow cytometry assay, Chattopadhyay et al.[21] discussed the complications of nonspecific binding
with the QD reagents that they use to extend the color range of their
assay. They found that nonspecific binding was largely overcome by
coating the quantum dot shells with poly(ethylene glycol) (PEG), allowing
them to overcome a crucial hurdle in the development of these reagents
for immunophenotyping. Although one imagines that these commercial
samples have been optimized to minimize nonspecific adsorption, reports
continue to appear in the literature in which nonspecific adsorption
of QDs is a problem.[22,23]A recent paper[19] on the use of a solvent
exchange protocol to coat hydrophobic NPs with a PEG-containing phospholipid
provides an interesting perspective on these problems. The authors
used 1,2-distearoylphosphatidylethanolamine–methylpoly(ethylene
glycol) with a PEG chain of M = 2000 (DSPE-mPEG)
to coat two sizes (d = 6.5 and 17 nm) of iron oxide
NPs (IONPs) as well as two samples of CdSe/ZnS QDs. The IONPs were
synthesized with a surface coating of oleic acid, and the CdSe/ZnS
QDs had a surface coating of trioctylphosphine oxide (TOPO). By mixing
the DSPE-mPEG with corresponding PEG analogues containing a terminal
amino group, a terminal −COOH group, or a terminal maleimide,
the authors were able to control the surface coverage of the IONPs
with PEG ligands and the density of reactive functionality per NP.
In addition, the authors were able to conjugate the 17 nm IONPs with
anti-mouse IgGs through thiol maleimide chemistry and also to attach
a goat anti-human folate receptor-1 Ab to these NPs. ELISA experiments
with the former and in vitro experiments with the
latter demonstrated high target recognition efficiency and low nonspecific
binding. While these results are impressive and hold promise for the
future of this coating protocol, the authors comment in the Supporting Information that when they applied
this approach to QDs, the coating efficiency varied significantly
among different batches of QDs that they purchased. In the current
state of the art, it is clear that we have much to learn about how
to optimize the surface coatings for different types of NPs and that
the approach to finding the optimal surface coating may vary with
the nature of the core of the nanoparticle.While there have
been important advances in the past several years
in the synthesis of lanthanide nanoparticles,[24−26]control over
surface chemistry is less well advanced than for QDs or iron oxide
NPs. Several strategies have been examined with good success to provide
colloidal stability in aqueous media in the presence of phosphate
buffer or serum proteins. These include flash nanoprecipitation,[27] ligand exchange with PEG bidentate[28] or tetradentate phosphonates,[29] and encapsulation with amphiphilic polymers.[30] These technologies have not yet advanced to
the point where meaningful mass cytometry experiments have been carried
out with lanthanide NPs labeled with Abs.Our goal in this paper
is to assess the enhancement in sensitivity
above background that nanoparticle reagents can provide for detection
of biomarkers by mass cytometry. We want to ask the question, can
one detect as few as 100 protein molecules per cell? In order to sidestep
many of the problems of reagents that have to function in the complex
environment of cell suspensions, we have chosen to create “model
cells” consisting of microgels of uniform size. These cross-linked
carboxylated microgels consist of a copolymer of N-isopropylacrylamide (NIPAm), N-vinylcaprolactam
(VCL), and 27 mol % methacrylic acid (MAA). We employ streptavidin
(SAv) as a model biomarker. The choice of SAv as a model biomarker
enables us to use biotinylated reagents to detect the SAv entities
on the model “cell” surface. In this way, we can compare
the mass cytometry signal of metal-chelating polymers with a biotin
end group and ca. 50 metal ions per polymer as a mass cytometry reagent
with biotinylated NaHoF4 NPs with a core diameter d = 12.9 nm, containing ca. 15 000 Ho atoms per NP.In mass cytometry experiments with cell suspensions, the cells
are fixed, permeabilized, and then stained with an iridium intercalator.[31] Each cell entering the plasma creates an ion
cloud generating signals for 191Ir and 193Ir,
which the instrument recognizes as the signature of a cell event.
For our model cells, the microgels (MGs) are loaded with ca. 107 TmF3/MG. In analogy with experiments on cell suspensions,
the mass cytometer recognizes a strong 169Tm signal as
the signature of a “cell” event.These experiments
are enabled by a lucky happenstance. While it
is straightforward to conjugate proteins such as SAv to the surface
of microgels using typical peptide coupling agents, this approach
leads to covalent attachment of ca. 104 SAv/MG. It is difficult
to attach only small numbers of proteins, on the order of 100–500
SAv, to the microgels. When we reacted the microgels with biotin,
to be used in a sandwich assay, the reaction could be carried out
to only low conversion. At higher conversion, the microgels precipitated.
In this way, we obtained three samples of microgels containing small
but different numbers of biotins per microgels. These are the samples
that permit us to examine whether we can detect as few as 100 SAvs
per microgel.
Results and Discussion
The idea
of using microgels as model cells is not new. The basic
idea is to design a microgel that mimics one or more properties of
a cell while avoiding the complications of working with intact cells.
In one example, artificial biotinylated alginate microgels with cell-like
surface chemistry were studied to model cell flow behavior and adhesion
properties when they were passing through avidin-modified constrictions.[32] In another study, extremely deformable triethylene
glycol acrylate/2-carboxylethyl acrylate copolymer microgels exhibited
cell mimicking properties of passive hemoglobin diffusion throughout
the particles.[33] Recently, the Shea group[34] reported synthetic polymer hydrogels (50–65
nm in diameter) that have the remarkable ability to recognize the
Fc fragment of IgGs and bind to them with high affinity.The
experiments described here employ microgels (MGs) synthesized
by the precipitation copolymerization of NIPAm, VCL, MAA, and the
cross-linker methylenebisacrylamide in a mole ratio of 56:14:27:3
identical to the sample V27 reported in ref (35). The −COOH groups,
largely localized in the core of the MG,[36,37] were neutralized with 1 equiv of NaOH, ion exchanged with Tm3+, and then TmF3 was precipitated in the core of
the micelle by the addition of NaF. We refer to these particles as
MG(Tm). They were characterized for particle size by DLS (dh = 700 nm, in PBS buffer at pH 7.4) and transmission
electron microscopy (TEM, dTEM = 350 ±
20 nm, Figure 1A) and by mass cytometry to
determine a mean Tm content (1.1 × 107 Tm atoms per
microgel). This protocol is identical to that described for the preparation
of EuF3-containing MGs of sample V27 described in ref (35), where we demonstrated
that the Ln ion content of the MGs saturated at 1 Ln3+ ion
for every 3 −COOH groups. From these results, we infer that
our sample contains an average of 3.3 × 107 −COOH
groups per microgel. We used this value to calculate microgel concentrations
in units of microgels/mL.
Figure 1
TEM images
for the functional microgels described in the text:
(A) MG(Tm); (B) BSA-MG(Tm); (C) SAv-MG(Tm). The microgels are characterized
by dMG(TM) = 350 ± 20 nm, dBSA-MG(TM) = 330 ± 20 nm, and dSAv-MG(TM) = 230 ± 20 nm. Scale
bars are 500 nm.
Attachment of SAv to the Microgels
SAv was chosen as
the model biomarker to allow us to take advantage of the strong biotin–streptavidin
interaction (Kd ∼ 10–14 M)[38] in our probe design. We used two
approaches to attach SAv to the microgels. Details are provided in
the Supporting Information. In the first
approach, we activated the carboxylic acids with 4-(4,6-dimethoxy-1,3,5-triazin-2-yl)-4-methylmorpholinium
chloride (DMTMM) to attach SAv covalently to the microgels, presumably
by coupling to lysine amino groups. This led to a high SAv content
per microgel. We refer to these samples as SAv-MG(Tm). As a control,
we used similar chemistry to attach BSA to these microgels (BSA-MG(Tm)).
These reactions were quenched by adding excess 6-aminocaproic acid
(6-ACA) to block unreacted activated carboxylic acid groups.TEM images
for the functional microgels described in the text:
(A) MG(Tm); (B) BSA-MG(Tm); (C) SAv-MG(Tm). The microgels are characterized
by dMG(TM) = 350 ± 20 nm, dBSA-MG(TM) = 330 ± 20 nm, and dSAv-MG(TM) = 230 ± 20 nm. Scale
bars are 500 nm.In the transmission electron
microscopy (TEM) image in Figure 1A, the MG(Tm)
microgels show a dense core associated
with the presence of TmF3 NPs surrounded by a diffuse corona.
The BSA-MG(Tm) microgels (Figure 1B) and SAv-MG(Tm)
microgels (Figure 1C) show more compact structures,
which are rather different in appearance, with the SAv-MG(Tm) structures
appearing to be more dense and more compact than either the BSA-MG(Tm)
or MG(Tm) microgels. Dynamic light scattering (DLS) measurements indicated
a small contraction in the hydrodynamic diameters of the modified
microgels compared to MG(Tm) [dh(BSA-MG(Tm))
= 640 nm; dh(SAv-MG(Tm)) = 640 nm; dh(MG(Tm)) = 700 nm]. These values imply a more
significant contraction of the microgel host, since attachment of
protein molecules to the surface should add to the diameter of the
overall objects. In the cartoons accompanying the TEM images in Figure 1, we attempt to depict the shape of the protein
molecules, recognizing that the drawing is not to scale. The BSA protein
is a prolate ellipsoid, 14 × 4 nm.[39] SAv is approximately spherical (d ≈ 7 nm).[40] We depict it as a square to emphasize that it
can bind four biotin moieties.In a second approach, we attached
biotin covalently to the microgel
using DMTMM as a coupling agent and (+)-biotinyl-3,6-dioxaoctanediamine
(Bi-NH2) as the biotin source. The attachment yields were
low, with only 5–10% of the added Bi-NH2 consumed
in the reaction. Attempts to attach larger amounts of biotin led to
precipitation of the microgels. Three samples [Bi-MG(Tm)-1, -2, and
-3; see Table S1] were obtained with different
levels of biotin attached. To attach SAv to these microgels, they
were first treated with a solution of BSA (1 wt % in PBS buffer) to
saturate sites of nonspecific protein adsorption, followed, after
washing, by a solution of SAv (1 wt % in PBS buffer). In these three
SAv-Bi-MG(Tm) samples, we anticipate that the SAv molecules are confined
to the MG surface. While we estimate that the microgels contain on
average ca. 105 biotin moieties, many of these may be buried
in the interior of the microgel.
Reagents for Biotin–Streptavidin
Coupling Bioassays
In current mass cytometry immunoassays,
cell suspensions are treated
with a cocktail of antibodies, each covalently labeled with metal
chelating polymers (MCPs). In our model system, SAv serves as the
model biomarker; thus, we need an MCP with biotin end-functionality
as the recognition element. As an MCP, we employ a biotin-end-capped
polyaspartamide synthesized as described previously,[41] with diethylenetriaminepentaacetic acid (DTPA) groups attached
to each of its 50 pendant groups. Details are provided in the Supporting Information. This probe, labeled with
ca. 50 Tb3+ ions/polymer, is denoted Bi-PAsp(Tb)50. In Figure S8, we show a TEM image that
confirms the ability of this polymer to bind to SAv-MG(Tm) microgels.As a higher sensitivity probe, we introduce biotinylated NaHoF4 nanoparticles (NPs). The NPs themselves, with oleic acid
as surface ligands, were synthesized as described by Qian and Zhang,[25] subjected to ozonolysis −78 °C in
hexane followed by oxidation with H2O2 as described
by Yan and co-workers,[42] to obtain an aqueous
dispersion of NPs. These were then biotinylated with Bi-NH2 using DMTMM as a coupling agent. Details are provided in the Supporting Information, and a dark field TEM
image of these biotinylated NPs (Bi-NaHoF4) is presented
in Figure 2A. By TEM, these NPs have a mean
diameter of 12.9 nm and contain ca. 15 000 Ho atoms per NP.
The size of the NPs in solution is important because its steric hindrance
determines how many NPs can bind to each SAv on the microgel surface.
By DLS at 90° (Figure S3), we determined
a hydrodynamic radius in water of 14 nm.
Figure 2
TEM images: (A) bright
field image of biotinylated NaHoF4 nanoparticles (Bi-NaHoF4); (B) dark field TEM image of
four biotinylated microgels treated successively with BSA, then SAv,
and finally with Bi-NaHoF4. The drawings at the right are
not to scale.
TEM images: (A) bright
field image of biotinylated NaHoF4 nanoparticles (Bi-NaHoF4); (B) dark field TEM image of
four biotinylated microgels treated successively with BSA, then SAv,
and finally with Bi-NaHoF4. The drawings at the right are
not to scale.As a test of binding,
we used TEM to examine one sample [Bi-MG(Tm)-1]
of biotinylated microgel. This microgel sample treated successively
with BSA, then SAv, and finally with Bi-NaHoF4 (i.e., SAv-Bi-MG(Tm)-Bi-NaHoF4) shows a rough surface morphology (due to the presence of
Bi-NaHoF4 NPs) with an average TEM diameter of 350 nm (Figure 2B). The EDX line scan of the two microgels in Figure 3 shows the coexistence of Tm from the microgel and
Ho from the Bi-NaHoF4 NP probe, confirming the formation
of NP-biotin-SAv-biotin complexes on the microgels.
Figure 3
EDX linear scan through
two biotinylated microgel particles, which
were subjected to a streptavidin–biotinylated-NaHoF4–NP (biotin-SAv-biotin) sandwich assembly.
EDX linear scan through
two biotinylated microgel particles, which
were subjected to a streptavidin–biotinylated-NaHoF4–NP (biotin-SAv-biotin) sandwich assembly.
Biotin–Streptavidin Coupling Bioassays
The remainder
of the paper examines the sensitivity of the reagents described above
for detecting and quantifying the number of SAv, as a model biomarker,
per microgel, as a model cell. The design of biotin–streptavidin
coupling bioassays for the MCP reagent is shown in Scheme 1. We first incubated a sample of SAv-MG(Tm) microgels
(covalently bound streptavidin) for 30 min with different amounts
of Bi-PAsp(Tb)50. Excess MCP was removed from the assembly
by centrifugation and resuspension. As a negative control, we incubated
samples of the BSA-coated microgel (BSA-MG(Tm)) with same amounts
of Bi-PAsp(Tb)50. Since there is no specific interaction
between BSA and biotin, any Tb signal detected from this sample would
be due to nonspecific interaction between the Bi-PAsp(Tb)50 and the microgel. As a background blank, we examined the SAv-MG(Tm)
without treatment with the biotinylated MCP.
Scheme 1
Biotin–Streptavidin
Coupling Bioassays
Activation of −COOH
groups on MG(Tm) with DMTMM and subsequent reaction with SAv or BSA
was followed by 6-ACA to quench activated −COOH groups. The
modified microgels were then treated with Bi-PAsp(Tb)50 and analyzed by mass cytometry.
Biotin–Streptavidin
Coupling Bioassays
Activation of −COOH
groups on MG(Tm) with DMTMM and subsequent reaction with SAv or BSA
was followed by 6-ACA to quench activated −COOH groups. The
modified microgels were then treated with Bi-PAsp(Tb)50 and analyzed by mass cytometry.Samples
of SAv-MG(Tm) in PBS buffer were treated with increasing
amounts of Bi-PAsp(Tb)50. The mass cytometry data for this
titration, presented in Figure 4, show both
isotopic Tb–Tm dot–dot plots for the distribution of 159Tb and 169Tm signals (top row) and histograms
of their relative abundance as characterized by the isotope intensities.
For these SAv-MG(Tm)-Bi-PAsp(Tb)50 assemblies, the signals
for both 159Tb and 169Tm were strong, with a
Pearson correlation (r) between the Tb and Tm signal
intensities in the range of 0.70–0.90, a strong positive linear
correlation.
Figure 4
Isotopic Tb–Tm dot–dot plots (upper panel),
histograms
of Tb content distribution (middle panel), and histograms of Tm content
distribution (lower panel) from the biotin-SAv coupling assays for
SAv-MG(Tm) with Bi-PAsp(Tb)50. In these experiments, SAv
was covalently linked to the microgels. SAv-MG(Tm) (100 μL,
containing ca. 2.5 × 109 microgels in total) was incubated
with different amounts of Bi-PAsp(Tb)50 solution (3.3 μmol/L:
S1, 20 μL; S2, 40 μL; S3 60 μL; S4 80 μL).
Data collection was gated to exclude “cell” debris and
“cell” aggregates. At least 10 000 microgels
were analyzed per sample.
Isotopic Tb–Tm dot–dot plots (upper panel),
histograms
of Tb content distribution (middle panel), and histograms of Tm content
distribution (lower panel) from the biotin-SAv coupling assays for
SAv-MG(Tm) with Bi-PAsp(Tb)50. In these experiments, SAv
was covalently linked to the microgels. SAv-MG(Tm) (100 μL,
containing ca. 2.5 × 109 microgels in total) was incubated
with different amounts of Bi-PAsp(Tb)50 solution (3.3 μmol/L:
S1, 20 μL; S2, 40 μL; S3 60 μL; S4 80 μL).
Data collection was gated to exclude “cell” debris and
“cell” aggregates. At least 10 000 microgels
were analyzed per sample.As a control, we incubated samples of BSA-MG(Tm) with the
same
amounts of Bi-PAsp(Tb)50. These data are presented in Figure 5, where the top row displays isotopic Tb–Tm
dot–dot plots for the distribution of 159Tb and 169Tm signals. The second and third rows are histograms of
their relative abundance as characterized by the isotope intensities.
While the 169Tm signals were strong, the Tb signals were
weak, with r = 0.15–0.20, indicating that
the Tb signals we detect were not strongly associated with the Tm
signals of the microgels. As a blank, we examined SAv-MG(Tm) itself
in the absence of any intentionally added source of Tb. Again, the
Tm signal was strong, but the Tb signal was very weak with r < 0.02. Since no specific interaction is expected between
the polymer the BSA-coated microgel, the differences between the Tb
signals for the control and blank samples are a measure of nonspecific
interaction of the MCP with the BSA-coated microgel.
Figure 5
Isotopic Tb–Tm
dot–dot plots (upper panel), histograms
of Tb content distribution (middle panel), and histograms of Tm content
distribution (lower panel) from the negative control and blank experiments
related to those described in Figure 4. Part
A: negative control (NC) experiments in which microgels covalently
labeled with BSA (BSA-MG(Tm) 100 μL, containing ca. 2.5 ×
109 microgels in total) was incubated with different amounts
of Bi-PAsp(Tb)50 solution (3.3 μmol/L: NC1, 20 μL;
NC2, 40 μL; NC3, 60 μL; NC4, 80 μL). Part B: SAv-MG(Tm)
microgel solution. Data collection was gated to exclude “cell”
debris and “cell” aggregates. At least 10 000
microgels were analyzed per sample.
Isotopic Tb–Tm
dot–dot plots (upper panel), histograms
of Tb content distribution (middle panel), and histograms of Tm content
distribution (lower panel) from the negative control and blank experiments
related to those described in Figure 4. Part
A: negative control (NC) experiments in which microgels covalently
labeled with BSA (BSA-MG(Tm) 100 μL, containing ca. 2.5 ×
109 microgels in total) was incubated with different amounts
of Bi-PAsp(Tb)50 solution (3.3 μmol/L: NC1, 20 μL;
NC2, 40 μL; NC3, 60 μL; NC4, 80 μL). Part B: SAv-MG(Tm)
microgel solution. Data collection was gated to exclude “cell”
debris and “cell” aggregates. At least 10 000
microgels were analyzed per sample.Histograms describing the numbers of Tm and Tb atoms per
microgel
calculated from these experiments are presented in Figure 6. Titration of the SAv-MG(Tm) solutions with increasing
amounts of Bi-PAsp(Tb)50 led to a saturation level of 4
× 106 Tb atoms per microgel. In the negative control
experiments with BSA-MG(Tm), the Tb numbers were much smaller, corresponding
to a nonspecific binding signal of 4–6%. For comparison, the
SAv-MG(Tm) microgels that serve as a blank show a background signal
corresponding to ca. 3 × 104 Tb atoms per microgel
(i.e., ca. 1% of background contamination). Figure 6B (lower panel) shows that all of the samples exhibited a
similar Tm intensity, corresponding to 1.1 × 107 Tm
atoms per cell, with a typical CV of ca. 30%.
Figure 6
Tb and Tm content per
microgel determined by mass cytometry from
biotin-SAv coupling assays. Numbers of Tb and Tm atoms per cell were
calculated using the mass cytometry transmission coefficient for Tb
ions of 9.88 × 10–5 and for Tm ions of 7.30
× 10–5. For SAv-MG(Tm) and BSA-MG(Tm) samples,
the amounts of Bi-PAsp(Tb)50 employed are indicated on
the x-axis. The SAv-MG(Tm) samples not treated with
metal chelating polymer are indicated by the cross-hatched bars in
the histograms. The data are replotted from Figures 4 and 5. (A) After treating the SAv-MG(Tm)
solutions (containing ca. 2.5 × 109 microgels) with
66, 132, 198, and 264 pmol of Bi-PAsp(Tb)50, we obtained
(1.9 ± 0.8) × 106, (2.8 ± 1.3) × 106, (4.1 ± 1.5) × 106, and (3.6 ±
1.4) × 106 Tb atoms per microgel, respectively. The
red line indicates the saturation level for SAv-MG(Tm) + Bi-PAsp(Tb)50 of 4.0 × 106 Tb atoms per cell microgel.
In the negative control experiments with BSA-MG(Tm), the Tb correspond
to (1.1 ± 0.4) × 105, (1.7 ± 0.8) ×
105, (1.7 ± 1.0) × 105, and (2.2 ±
1.5) × 105 Tb atoms per microgel. SAv-MG(Tm) microgels
(the blank) show a background signal corresponding to (3.0 ±
1.3) × 104 Tb atoms per microgel. (B) The red line
indicates a mean value of 1.1 × 107 Tm atoms per microgel
for all samples. The error bars indicate the cell-by-cell coefficient
of variation of lanthanide ion content (CVLn = ca. 30%
for all samples) determined from gated mass cytometry data.
To estimate the
number of SAv biomarkers per cell, we have to make
some assumptions about the interaction between the SAvs on the microgel
surface and the biotinylated MCP. Each Bi-PAsp(Tb)50 carries
an average of 50 Tb ions. Streptavidin has four binding sites. If
we assume that each SAv binds to four biotin-end-capped polymers,
then each SAv would carry 200 Tb ions at saturation. Since at saturation,
the microgels contain ca. 4.0 × 106 Tb atoms per microgel,
then on average each microgel carries 20 000 SAv biomarkers.
This is a reasonable number and may be an underestimate due to the
inaccessibility of some biotin binding sites. A geometric model shows
that a sphere with a radius of 320 nm (the size of the SAv-coated
microgels) can accommodate a layer of 3.0 × 104 close-packed
spheres with d = 7 nm (the size of a SAv molecule).
To the extent that the assumptions made above are correct, our streptavidin-coated
microgels have a surface packing density of 67%.Tb and Tm content per
microgel determined by mass cytometry from
biotin-SAv coupling assays. Numbers of Tb and Tm atoms per cell were
calculated using the mass cytometry transmission coefficient for Tb
ions of 9.88 × 10–5 and for Tm ions of 7.30
× 10–5. For SAv-MG(Tm) and BSA-MG(Tm) samples,
the amounts of Bi-PAsp(Tb)50 employed are indicated on
the x-axis. The SAv-MG(Tm) samples not treated with
metal chelating polymer are indicated by the cross-hatched bars in
the histograms. The data are replotted from Figures 4 and 5. (A) After treating the SAv-MG(Tm)
solutions (containing ca. 2.5 × 109 microgels) with
66, 132, 198, and 264 pmol of Bi-PAsp(Tb)50, we obtained
(1.9 ± 0.8) × 106, (2.8 ± 1.3) × 106, (4.1 ± 1.5) × 106, and (3.6 ±
1.4) × 106 Tb atoms per microgel, respectively. The
red line indicates the saturation level for SAv-MG(Tm) + Bi-PAsp(Tb)50 of 4.0 × 106 Tb atoms per cell microgel.
In the negative control experiments with BSA-MG(Tm), the Tb correspond
to (1.1 ± 0.4) × 105, (1.7 ± 0.8) ×
105, (1.7 ± 1.0) × 105, and (2.2 ±
1.5) × 105 Tb atoms per microgel. SAv-MG(Tm) microgels
(the blank) show a background signal corresponding to (3.0 ±
1.3) × 104 Tb atoms per microgel. (B) The red line
indicates a mean value of 1.1 × 107 Tm atoms per microgel
for all samples. The error bars indicate the cell-by-cell coefficient
of variation of lanthanide ion content (CVLn = ca. 30%
for all samples) determined from gated mass cytometry data.
Biotin–SAv–Biotin
Sandwich Assays
A second
set of assays employed biotinylated microgels. As described above,
we were limited in the amount of biotin that we could attach covalently
to the microgels. As a consequence, the number of SAv biomarkers per
microgel was smaller than in the examples described above. With the
SAv-Bi-MG(Tm) samples prepared from the three Bi-MG(Tm) microgels
described in Table S1, we carried out binding
assays with two types of biotin containing reagents: Bi-PAsp(Tb)50 and Bi-NaHoF4. The experimental design is summarized
in Scheme 2.
Scheme 2
Biotin–Streptavidin–Biotin
Sandwich Assays
Biotinylated and biotin-free
MG samples were first treated with BSA and then SAv. After washing
they were treated with Bi-PAsp(Tb)50 or Bi-NaHoF4 NPs and analyzed by mass cytometry.
The first set of binding
experiments were carried out with Bi-PAsp(Tb)50 (for details,
see Supporting Information and Figure S9), where we treated aliquots of the
SAv-coated microgels (100 μL, ca. 2.5 × 109 microgels,
6.2 × 105 biotin/microgel), with increasing amounts
of Bi-PAsp(Tb)50 solution (0.33 μmol/L: 10 μL;
20 μL; 40 μL; 80 μL). While the mass cytometry measurements
showed strong Tm signals for the microgels, all samples showed very
weak Tb signals, between 1 and 10 counts/microgel. With increasing
amounts of added Bi-PAsp(Tb)50, we obtained stronger Tb
signals from both SAv-Bi-MG(Tm) and BSA/MG(Tm) microgels. However,
the difference in Tb intensity from the Bi-Asp(Tb)50 treated
SAv-Bi-MG(Tm) samples and BSA/MG(Tm) samples was very small, with
a maximum signal-to-noise ratio of 1.2. Thus, we conclude that the
number of SAvs on the surface of the biotinylated microgels was too
small to be detected by mass cytometry with the current generation
instrument using a metal chelating polymer as a reagent.
Biotin–Streptavidin–Biotin
Sandwich Assays
Biotinylated and biotin-free
MG samples were first treated with BSA and then SAv. After washing
they were treated with Bi-PAsp(Tb)50 or Bi-NaHoF4 NPs and analyzed by mass cytometry.Then
we tested the sensitivity of the Bi-NaHoF4 NPs.
Each of the three SAv-Bi-MG(Tm) microgel samples (100 μL, each
containing ca. 2.5 × 109 microgels) was incubated
with excess NPs (0.05 mg, 0.015 μmol). Excess NPs were removed
from the sandwich assembly via three cycles of centrifugation and
resuspension of the microgels, followed by analysis by mass cytometry.
The data for these experiments and the corresponding control and blank
measurements are presented in Figure 7. The
top row in Figure 7A displays isotopic Ho–Tm
dot–dot plots for the distribution of 165Ho and 169Tm signals for the SAv-Bi-MG(Tm) samples. The units on the x- and y-axes of these plots are the measured
intensities for the respective isotopes. In the second and the third
rows, the data are replotted as histograms showing the relative abundance
of microgels characterized by the isotope intensities displayed on
the x-axes. For these SAv-Bi-MG(Tm)-Bi-NaHoF4 assemblies, the signals for both 165Ho and 169Tm are strong. The Pearson correlation between the Tm and
Ho signal intensities was ca. 0.60 from the three batches of samples.
This value indicates that the Ho signals detected are strongly associated
with the Tm signals of the microgels.
Figure 7
Isotopic Ho–Tm dot–dot plots
(upper panel), histograms
of Ho content distribution (middle panel), and histograms of Tm content
distribution (lower panel) from biotin–SAv–biotin sandwich
assays. Part A: SAv-Bi-MG(Tm) microgel solution in PBS buffer (100
μL, containing ca. 2.5 × 109 microgels) were
incubated with excess of Bi-NaHoF4 NPs (0.015 μmol
in 10 μL of DI water). Part B: BSA/MG(Tm) solution in PBS buffer
(100 μL, containing ca. 2.5 × 109 microgels)
were incubated with SAv solution (500 nmol/L, 10 μL, 0.005 nmol)
and then with excess of Bi-NaHoF4 NPs (0.015 μmol
in 10 μL of DI water). Part C: SAv-Bi-MG(Tm) microgels containing
ca. 2.5 × 109 microgels. Data collection was gated
to exclude cell debris and cell aggregates. At least 10 000
cells were analyzed per sample.
Isotopic Ho–Tm dot–dot plots
(upper panel), histograms
of Ho content distribution (middle panel), and histograms of Tm content
distribution (lower panel) from biotin–SAv–biotin sandwich
assays. Part A: SAv-Bi-MG(Tm) microgel solution in PBS buffer (100
μL, containing ca. 2.5 × 109 microgels) were
incubated with excess of Bi-NaHoF4 NPs (0.015 μmol
in 10 μL of DI water). Part B: BSA/MG(Tm) solution in PBS buffer
(100 μL, containing ca. 2.5 × 109 microgels)
were incubated with SAv solution (500 nmol/L, 10 μL, 0.005 nmol)
and then with excess of Bi-NaHoF4 NPs (0.015 μmol
in 10 μL of DI water). Part C: SAv-Bi-MG(Tm) microgels containing
ca. 2.5 × 109 microgels. Data collection was gated
to exclude cell debris and cell aggregates. At least 10 000
cells were analyzed per sample.In parallel, we treated BSA-passivated biotin-free microgels
(BSA/MG(Tm))
first with SAv and, after washing, with Bi-NaHoF4 NPs.
The corresponding mass cytometry data are shown in Figure 7B. The Tm signal is strong; however, the Ho signal
is much weaker. The Pearson correlation between Tm and Ho signal intensities
was r = 0.20, which indicates a weak linear correlation
between the two ions in this negative control sample. As a blank,
we examined the SAv-Bi-MG(Tm) itself in the absence of any intentionally
added source of Ho. These data are shown in the three plots in Figure 7C. While the Tm signal was strong, the Ho signal
was weak, with a very little correlation (r <
0.01) found between Tm and Ho signals.The calculated numbers
of metal ions per microgel are plotted as
a bar graph in Figure 8. For the SAv-Bi-MG(Tm)-Bi-NaHoF4 complexes, we obtained (1.6 ± 0.6) × 106 Ho atoms per microgel for SAv-Bi-MG(Tm)-1, (3.1 ± 0.7) ×
106 Ho atoms per microgel from SAv-Bi-MG(Tm)-2, and (6.0
± 0.9) × 106 Ho atoms per microgel from SAv-Bi-MG(Tm)-3.
In contrast, for the negative control (BSA/MG(Tm)), we obtained (2.9
± 1.2) × 105 Ho atoms per cell. This signal level
corresponds to a nonspecific binding signal of 5–18%. The SAv-Bi-MG(Tm)
microgels that serve as a blank and show a background signal corresponding
to (2.4 ± 4.9) × 104 Ho atoms per microgel (ca.
1% background contamination). Figure 8B (lower
panel) shows that all the microgel hybrids exhibited a similar Tm
intensity, 1.1 × 107 Tm atoms per microgel, with a
typical CV of ca. 30%.
Figure 8
Ho and Tm intensities for cells from biotin–SAv–biotin
sandwich assays. Numbers of Tm and Ho atoms per cell were calculated
using mass cytometry transmission coefficients of 1.11 × 10–4 for Tm ions and 1.23 × 10–4 for Ho ions. (A) Ho content per microgel. The error bars indicate
the cell-by-cell coefficient of variation of lanthanide ion content
(CVLn) determined from gated mass cytometry data. (B) Tm
content per microgel. The red line indicates a mean value of 1.1 ×
107 Tm atoms per microgel for all samples, with a cell-to-cell
CV of 30%.
Ho and Tm intensities for cells from biotin–SAv–biotin
sandwich assays. Numbers of Tm and Ho atoms per cell were calculated
using mass cytometry transmission coefficients of 1.11 × 10–4 for Tm ions and 1.23 × 10–4 for Ho ions. (A) Ho content per microgel. The error bars indicate
the cell-by-cell coefficient of variation of lanthanide ion content
(CVLn) determined from gated mass cytometry data. (B) Tm
content per microgel. The red line indicates a mean value of 1.1 ×
107 Tm atoms per microgel for all samples, with a cell-to-cell
CV of 30%.Dividing the Ho number
per cell by the Ho number per nanoparticle
(15 000) yields the average number of nanoparticles per cell.
From the three different SAv-Bi-MG(Tm)-Bi-NaHoF4 complexes,
we obtained 107 ± 40, 205 ± 47, and 400 ± 60 NaHoF4 nanoparticles per cell. For the negative control (BSA/MG(Tm),
we found 19 ± 8 nanoparticles bound nonspecifically per cell.
From the blank, we detected a background contamination level equivalent
to 2 ± 3 nanoparticles per microgel.With at least one
of the SAv binding sites already attached to
the cell surface, a maximum of three biotin binding sites are available
for additional binding with nanoparticles. Since, however, we have
no direct calibration of the number of NPs that can bind to each accessible
SAv, it is problematic to convert numbers of NPs bound per microgel
to absolute numbers of biomarkers. In the Supporting
Information, we develop a geometric argument that suggests
that if the microgel and the NPs were hard spheres with radii equal
to their hydrodynamic radius, then for NPs with radii in the range
10.1 nm < rNP ≤ 13.0 nm, the
maximum packing number would be 2 per SAv, and for larger NPs, the
maximum packing number is 1 per SAv. This argument has two limitations.
First, surface irregularities in the microgel may make some SAvs inaccessible
to the NPs. Second, the NaHoF4 NPs (with rh = 14 nm, see Figure S3) may
deform in a way that allows more than one NP to bind to a SAv. Therefore,
the most important conclusion of this work is that we can detect very
small numbers on of NPs per microgel, as few as 100–500 nanoparticles
bound to biomarkers per microgel, and the detection limit is determined
more by nonspecific adsorption of NPs to the microgels than by the
sensitivity of the mass cytometer measurement.
Summary and Conclusions
In this paper, we examined the sensitivity of different reagents
for detecting and quantifying by mass cytometry the number of SAv,
as a model biomarker, per microgel, as a model cell. In our system,
the microgel was labeled with TmF3, so that the detection
of 169Tm ions served as the signature of a “cell”
event. The streptavidin biomarkers were then detected with biotinylated
probes, from which we were able to quantify the number of probes bound
per model cell.We used two approaches to attach SAv biomarkers
to the microgel.
Carboxyl activation chemistry to attach SAv covalently to the microgels
led to a high SAv content. In contrast, covalent attachment of biotin,
passivation with BSA, and subsequent treatment with SAv led to low
SAv contents per microgel. Two types of biotinylated probes were used:
a biotinylated MCP (Bi-PAsp(Tb)50, containing on average
50 Tb3+ ions atoms per probe) and biotinylated NaHoF4 NPs (Bi-NaHoF4, containing ca. 15 000 Ho
atoms per probe). For microgels carrying high abundance of SAv biomarkers,
the interaction of the metal-chelating polymerBi-PAsp(Tb)50 with the SAv-coated microgels was much stronger than the interaction
with BSA-coated microgels, used as a negative control to account for
nonspecific absorption. From this approach a biomarker level at ca.
104 per cell was detected by mass cytometry.For
microgels carrying low copy numbers of streptavidin biomarkers,
the Bi-PAsp(Tb)50 reagent gave a very low signal, not significantly
different from that with the BSA-coated microgel sample. With current
instrumentation, this type of MCP reagent does not generate sufficient
signal to measure these low levels of biomarkers per cell.In
contrast, the biotinylated NaHoF4 NPs (with 15 000
Ho atoms per NP) gave a mass cytometry signal about 2 orders of magnitude
stronger, while maintaining a relatively low signal level from nonspecific
absorption. In the sandwich assay described here, for the three SAv-Bi-MG(Tm)
samples examined, we determined signal levels of ca. 400 ± 60,
200 ± 50, and 100 ± 40 NPs per microgel. While the background
signal was very low, the sensitivity of the measurements was limited
by nonspecific interaction of the NPs with the BSA-coated microgels,
determined to be ca. 20 NPs per microgel. This proof of concept experiment
demonstrates the enhanced sensitivity possible with NP reagents in
cell-by-cell assays by mass cytometry.Applying this knowledge
to biological samples requires significant
improvement in the surface coating of lanthanide nanoparticles, to
optimize the type and number of surface functional groups for attachment
to antibodies, to optimize purification of the NP-Ab conjugates, and
to minimize nonspecific interaction with cells. This is an ongoing
task in our laboratory and elsewhere.
Experimental
Section
Materials
The poly(NIPAm/VCL/MAA) copolymer microgel
sample employed here is the same sample as that denoted V27 in ref (35). The original sample at
ca. 0.85 wt % solids was repurified by sedimentation–redispersion
in deionized water, and its concentration in terms of total acid content
was determined by titration. This sample was loaded with TmF3 (denoted MG(Tm)) following the protocol described in ref (35) for EuF3-loaded
microgels. After ion exchange or chemical modification, all microgel
samples were purified by three cycles of sedimentation by centrifugation
(5000 rpm, 40 min, 23 °C) and redispersion in DI water and finally
redispersed in PBS buffer and stored at 4 °C prior to use.The details of the modification of the microgels by covalent attachment
of SAv, BSA, or biotin are described in the Supporting
Information.The biotin end-capped metal chelating polymer
probe (Bi-PAsp(Tb)50) labeled with Tb3+ ions
was synthesized following
a protocol that we described previously.[41] Details are provided in the Supporting Information. The synthesis and characterization of biotinylated NaHoF4 nanoparticles are also described in the Supporting
Information.
Four aliquots
of SAv-MG(Tm) solution (100 μL,
containing ca. 2.5 × 109 microgels) were incubated
with different amounts of a Bi-PAsp(Tb)50 solution (3.3
μmol/L: 20 μL, 40 μL, 60 μL, 80 μL)
for 30 min at room temperature. Then the solutions were purified from
excessive polymer by three cycles of centrifugation at 5000 rpm for
40 min at RT followed by redispersion in DI water (1 mL). The concentration
of the microgel solution was adjusted to ca. 106 microgels
per mL with DI water for analysis by mass cytometry.
Negative
Control
Four aliquots of BSA-MG(Tm) solution
(100 μL, containing ca. 2.5 × 109 microgels)
were incubated with different amounts of a Bi-PAsp(Tb)50 solution (3.3 μmol/L: NC1, 20 μL; NC2, 40 μL;
NC3, 60 μL; NC4, 80 μL) and stirred at room temperature
for 30 min. Then the solutions were purified as described above by
three cycles of centrifugation–redispersion with DI water (1
mL) and then diluted to 106 microgels per mL with DI water
for analysis by mass cytometry.
Blank Control
A solution of streptavidin-coated microgel
(SAv-MG(Tm), 100 μL, containing ca. 2.5 × 109 microgels) was directly diluted to 106 microgels per
mL with DI water for analysis by mass cytometry.
Biotin–Streptavidin–Biotin
Sandwich Assays
Sample + Bi-PAsp(Tb)50
Four aliquots of
a solution of SAv-Bi-MG(Tm)-3 (100 μL, containing ca. 2.5 ×
109 microgels) were stirred for 30 min at room temperature
with 6-aminocaproic acid (6-ACA, 0.03 μmol in 3 μL), then
incubated with different amounts of a Bi-PAsp(Tb)50 solution
(0.33 μmol/L: 10 μL; 20 μL, 40 μL, 80 μL),
and stirred at room temperature for 30 min. Then the solutions were
purified as described above by centrifugation–redispersion
in DI water (1 mL) and then diluted to 106 microgels per
mL with DI water for analysis by mass cytometry.
Sample +
Bi-NaHoF4
A solution of each of
the three SAv-Bi-MG(Tm) microgels (100 μL, containing ca. 2.5
× 109 microgels) was stirred with Bi-NaHoF4 NPs solution in DI water (5 mg/mL, 10 μL, 0.015 μmol)
for 30 min at room temperature. The solutions were purified by centrifugation–redispersion
in 1 mL of DI water and then diluted to 106 microgels per
mL with DI water for analysis by mass cytometry.
Negative
Control + Bi-PAsp(Tb)50
Four aliquots
of a solution of microgels with a surface passivated with adsorbed
BSA (BSA/MG(Tm), 100 μL, containing ca. 2.5 × 109 microgels) were stirred with 6-aminocaproic acid (6-ACA, 0.03 μmol
in 3 μL) for 30 min at room temperature and then incubated with
SAv solution (500 nmol/L, 10 μL, 0.005 nmol) for 30 min. After
that, different amounts of a Bi-PAsp(Tb)50 solution (0.33
μmol/L: NC1, 10 μL; NC2, 20 μL; NC3, 40 μL;
NC4, 80 μL) were added followed by with stirring for 30 min
at room temperature. Then the solutions were purified as described
above by three cycles of centrifugation–redispersion in DI
water (1 mL) and then diluted to 106 microgels per mL with
DI water for analysis by mass cytometry.
Negative Control + Bi-NaHoF4
A solution
of SAv (500 nmol/L, 10 μL, 0.005 nmol) was added to a solution
of microgels with a surface passivated with adsorbed BSA (BSA/MG(Tm),
100 μL, containing ca. 2.5 × 109 microgels)
and stirred for 30 min. Then a solution of Bi-NaHoF4 in
DI water (5 mg/mL, 10 μL, 0.015 μmol) was added, and stirring
was continued for 30 min at room temperature. The solution was purified
by three sedimentation/redispersion cycles as described above to remove
excess NaHoF4 nanoparticles, which did not sediment under
these conditions. In the final step, the microgels were redispersed
in DI water (1 mL). Before analysis, the microgel solution was diluted
with DI water to ca. 106 microgels per mL.A solution of SAv-Bi-MG(Tm) (100 μL,
containing ca. 2.5 × 109 microgels) was diluted to
ca. 106 microgels per mL with DI water before characterization.
Instrumentation
Mass Cytometry
Mass cytometry experiments
were carried
out using a model C2 instrument (CyTOF) from DVS Sciences (Markham,
ON, Canada).[3] Samples were examined at
a rate of ca. 1000 microgels/s. Ion signals were collected by dual-counting,
the combination of digital counting and analogue modes of ion detection,
which allows a much wider range of ion signal (simultaneous detection
of very small and very large signals). The data were collected in
FCS 3.0 format and were processed by FlowJo software.The average
number of metal ions per microgel, N, can be calculated
from the mean intensity values measured by the TOF detector, I, through the expression N = I/T, where T is the transmission
coefficient and corresponds to the number of ions that reach the detector
per number of ions injected. T values were determined
on a daily basis using a standard solution that contained different
lanthanide ions that cover the lanthanide series mass range (La, Tb,
and Tm at 0.5 ppb w/w). Using the mass response (number of counts
from the mass cytometry detector) to the known concentration of the
ions, values of T were calculated for each ion in
the standard solution.
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Authors: Xu Wu; Quinn DeGottardi; I-Che Wu; Jiangbo Yu; Li Wu; Fangmao Ye; Chun-Ting Kuo; William W Kwok; Daniel T Chiu Journal: Angew Chem Int Ed Engl Date: 2017-10-12 Impact factor: 15.336
Authors: Andrea Cossarizza; Hyun-Dong Chang; Andreas Radbruch; Mübeccel Akdis; Immanuel Andrä; Francesco Annunziato; Petra Bacher; Vincenzo Barnaba; Luca Battistini; Wolfgang M Bauer; Sabine Baumgart; Burkhard Becher; Wolfgang Beisker; Claudia Berek; Alfonso Blanco; Giovanna Borsellino; Philip E Boulais; Ryan R Brinkman; Martin Büscher; Dirk H Busch; Timothy P Bushnell; Xuetao Cao; Andrea Cavani; Pratip K Chattopadhyay; Qingyu Cheng; Sue Chow; Mario Clerici; Anne Cooke; Antonio Cosma; Lorenzo Cosmi; Ana Cumano; Van Duc Dang; Derek Davies; Sara De Biasi; Genny Del Zotto; Silvia Della Bella; Paolo Dellabona; Günnur Deniz; Mark Dessing; Andreas Diefenbach; James Di Santo; Francesco Dieli; Andreas Dolf; Vera S Donnenberg; Thomas Dörner; Götz R A Ehrhardt; Elmar Endl; Pablo Engel; Britta Engelhardt; Charlotte Esser; Bart Everts; Anita Dreher; Christine S Falk; Todd A Fehniger; Andrew Filby; Simon Fillatreau; Marie Follo; Irmgard Förster; John Foster; Gemma A Foulds; Paul S Frenette; David Galbraith; Natalio Garbi; Maria Dolores García-Godoy; Jens Geginat; Kamran Ghoreschi; Lara Gibellini; Christoph Goettlinger; Carl S Goodyear; Andrea Gori; Jane Grogan; Mor Gross; Andreas Grützkau; Daryl Grummitt; Jonas Hahn; Quirin Hammer; Anja E Hauser; David L Haviland; David Hedley; Guadalupe Herrera; Martin Herrmann; Falk Hiepe; Tristan Holland; Pleun Hombrink; Jessica P Houston; Bimba F Hoyer; Bo Huang; Christopher A Hunter; Anna Iannone; Hans-Martin Jäck; Beatriz Jávega; Stipan Jonjic; Kerstin Juelke; Steffen Jung; Toralf Kaiser; Tomas Kalina; Baerbel Keller; Srijit Khan; Deborah Kienhöfer; Thomas Kroneis; Désirée Kunkel; Christian Kurts; Pia Kvistborg; Joanne Lannigan; Olivier Lantz; Anis Larbi; Salome LeibundGut-Landmann; Michael D Leipold; Megan K Levings; Virginia Litwin; Yanling Liu; Michael Lohoff; Giovanna Lombardi; Lilly Lopez; Amy Lovett-Racke; Erik Lubberts; Burkhard Ludewig; Enrico Lugli; Holden T Maecker; Glòria Martrus; Giuseppe Matarese; Christian Maueröder; Mairi McGrath; Iain McInnes; Henrik E Mei; Fritz Melchers; Susanne Melzer; Dirk Mielenz; Kingston Mills; David Mirrer; Jenny Mjösberg; Jonni Moore; Barry Moran; Alessandro Moretta; Lorenzo Moretta; Tim R Mosmann; Susann Müller; Werner Müller; Christian Münz; Gabriele Multhoff; Luis Enrique Munoz; Kenneth M Murphy; Toshinori Nakayama; Milena Nasi; Christine Neudörfl; John Nolan; Sussan Nourshargh; José-Enrique O'Connor; Wenjun Ouyang; Annette Oxenius; Raghav Palankar; Isabel Panse; Pärt Peterson; Christian Peth; Jordi Petriz; Daisy Philips; Winfried Pickl; Silvia Piconese; Marcello Pinti; A Graham Pockley; Malgorzata Justyna Podolska; Carlo Pucillo; Sally A Quataert; Timothy R D J Radstake; Bartek Rajwa; Jonathan A Rebhahn; Diether Recktenwald; Ester B M Remmerswaal; Katy Rezvani; Laura G Rico; J Paul Robinson; Chiara Romagnani; Anna Rubartelli; Beate Ruckert; Jürgen Ruland; Shimon Sakaguchi; Francisco Sala-de-Oyanguren; Yvonne Samstag; Sharon Sanderson; Birgit Sawitzki; Alexander Scheffold; Matthias Schiemann; Frank Schildberg; Esther Schimisky; Stephan A Schmid; Steffen Schmitt; Kilian Schober; Thomas Schüler; Axel Ronald Schulz; Ton Schumacher; Cristiano Scotta; T Vincent Shankey; Anat Shemer; Anna-Katharina Simon; Josef Spidlen; Alan M Stall; Regina Stark; Christina Stehle; Merle Stein; Tobit Steinmetz; Hannes Stockinger; Yousuke Takahama; Attila Tarnok; ZhiGang Tian; Gergely Toldi; Julia Tornack; Elisabetta Traggiai; Joe Trotter; Henning Ulrich; Marlous van der Braber; René A W van Lier; Marc Veldhoen; Salvador Vento-Asturias; Paulo Vieira; David Voehringer; Hans-Dieter Volk; Konrad von Volkmann; Ari Waisman; Rachael Walker; Michael D Ward; Klaus Warnatz; Sarah Warth; James V Watson; Carsten Watzl; Leonie Wegener; Annika Wiedemann; Jürgen Wienands; Gerald Willimsky; James Wing; Peter Wurst; Liping Yu; Alice Yue; Qianjun Zhang; Yi Zhao; Susanne Ziegler; Jakob Zimmermann Journal: Eur J Immunol Date: 2017-10 Impact factor: 6.688
Authors: Andrea Cossarizza; Hyun-Dong Chang; Andreas Radbruch; Andreas Acs; Dieter Adam; Sabine Adam-Klages; William W Agace; Nima Aghaeepour; Mübeccel Akdis; Matthieu Allez; Larissa Nogueira Almeida; Giorgia Alvisi; Graham Anderson; Immanuel Andrä; Francesco Annunziato; Achille Anselmo; Petra Bacher; Cosima T Baldari; Sudipto Bari; Vincenzo Barnaba; Joana Barros-Martins; Luca Battistini; Wolfgang Bauer; Sabine Baumgart; Nicole Baumgarth; Dirk Baumjohann; Bianka Baying; Mary Bebawy; Burkhard Becher; Wolfgang Beisker; Vladimir Benes; Rudi Beyaert; Alfonso Blanco; Dominic A Boardman; Christian Bogdan; Jessica G Borger; Giovanna Borsellino; Philip E Boulais; Jolene A Bradford; Dirk Brenner; Ryan R Brinkman; Anna E S Brooks; Dirk H Busch; Martin Büscher; Timothy P Bushnell; Federica Calzetti; Garth Cameron; Ilenia Cammarata; Xuetao Cao; Susanna L Cardell; Stefano Casola; Marco A Cassatella; Andrea Cavani; Antonio Celada; Lucienne Chatenoud; Pratip K Chattopadhyay; Sue Chow; Eleni Christakou; Luka Čičin-Šain; Mario Clerici; Federico S Colombo; Laura Cook; Anne Cooke; Andrea M Cooper; Alexandra J Corbett; Antonio Cosma; Lorenzo Cosmi; Pierre G Coulie; Ana Cumano; Ljiljana Cvetkovic; Van Duc Dang; Chantip Dang-Heine; Martin S Davey; Derek Davies; Sara De Biasi; Genny Del Zotto; Gelo Victoriano Dela Cruz; Michael Delacher; Silvia Della Bella; Paolo Dellabona; Günnur Deniz; Mark Dessing; James P Di Santo; Andreas Diefenbach; Francesco Dieli; Andreas Dolf; Thomas Dörner; Regine J Dress; Diana Dudziak; Michael Dustin; Charles-Antoine Dutertre; Friederike Ebner; Sidonia B G Eckle; Matthias Edinger; Pascale Eede; Götz R A Ehrhardt; Marcus Eich; Pablo Engel; Britta Engelhardt; Anna Erdei; Charlotte Esser; Bart Everts; Maximilien Evrard; Christine S Falk; Todd A Fehniger; Mar Felipo-Benavent; Helen Ferry; Markus Feuerer; Andrew Filby; Kata Filkor; Simon Fillatreau; Marie Follo; Irmgard Förster; John Foster; Gemma A Foulds; Britta Frehse; Paul S Frenette; Stefan Frischbutter; Wolfgang Fritzsche; David W Galbraith; Anastasia Gangaev; Natalio Garbi; Brice Gaudilliere; Ricardo T Gazzinelli; Jens Geginat; Wilhelm Gerner; Nicholas A Gherardin; Kamran Ghoreschi; Lara Gibellini; Florent Ginhoux; Keisuke Goda; Dale I Godfrey; Christoph Goettlinger; Jose M González-Navajas; Carl S Goodyear; Andrea Gori; Jane L Grogan; Daryl Grummitt; Andreas Grützkau; Claudia Haftmann; Jonas Hahn; Hamida Hammad; Günter Hämmerling; Leo Hansmann; Goran Hansson; Christopher M Harpur; Susanne Hartmann; Andrea Hauser; Anja E Hauser; David L Haviland; David Hedley; Daniela C Hernández; Guadalupe Herrera; Martin Herrmann; Christoph Hess; Thomas Höfer; Petra Hoffmann; Kristin Hogquist; Tristan Holland; Thomas Höllt; Rikard Holmdahl; Pleun Hombrink; Jessica P Houston; Bimba F Hoyer; Bo Huang; Fang-Ping Huang; Johanna E Huber; Jochen Huehn; Michael Hundemer; Christopher A Hunter; William Y K Hwang; Anna Iannone; Florian Ingelfinger; Sabine M Ivison; Hans-Martin Jäck; Peter K Jani; Beatriz Jávega; Stipan Jonjic; Toralf Kaiser; Tomas Kalina; Thomas Kamradt; Stefan H E Kaufmann; Baerbel Keller; Steven L C Ketelaars; Ahad Khalilnezhad; Srijit Khan; Jan Kisielow; Paul Klenerman; Jasmin Knopf; Hui-Fern Koay; Katja Kobow; Jay K Kolls; Wan Ting Kong; Manfred Kopf; Thomas Korn; Katharina Kriegsmann; Hendy Kristyanto; Thomas Kroneis; Andreas Krueger; Jenny Kühne; Christian Kukat; Désirée Kunkel; Heike Kunze-Schumacher; Tomohiro Kurosaki; Christian Kurts; Pia Kvistborg; Immanuel Kwok; Jonathan Landry; Olivier Lantz; Paola Lanuti; Francesca LaRosa; Agnès Lehuen; Salomé LeibundGut-Landmann; Michael D Leipold; Leslie Y T Leung; Megan K Levings; Andreia C Lino; Francesco Liotta; Virginia Litwin; Yanling Liu; Hans-Gustaf Ljunggren; Michael Lohoff; Giovanna Lombardi; Lilly Lopez; Miguel López-Botet; Amy E Lovett-Racke; Erik Lubberts; Herve Luche; Burkhard Ludewig; Enrico Lugli; Sebastian Lunemann; Holden T Maecker; Laura Maggi; Orla Maguire; Florian Mair; Kerstin H Mair; Alberto Mantovani; Rudolf A Manz; Aaron J Marshall; Alicia Martínez-Romero; Glòria Martrus; Ivana Marventano; Wlodzimierz Maslinski; Giuseppe Matarese; Anna Vittoria Mattioli; Christian Maueröder; Alessio Mazzoni; James McCluskey; Mairi McGrath; Helen M McGuire; Iain B McInnes; Henrik E Mei; Fritz Melchers; Susanne Melzer; Dirk Mielenz; Stephen D Miller; Kingston H G Mills; Hans Minderman; Jenny Mjösberg; Jonni Moore; Barry Moran; Lorenzo Moretta; Tim R Mosmann; Susann Müller; Gabriele Multhoff; Luis Enrique Muñoz; Christian Münz; Toshinori Nakayama; Milena Nasi; Katrin Neumann; Lai Guan Ng; Antonia Niedobitek; Sussan Nourshargh; Gabriel Núñez; José-Enrique O'Connor; Aaron Ochel; Anna Oja; Diana Ordonez; Alberto Orfao; Eva Orlowski-Oliver; Wenjun Ouyang; Annette Oxenius; Raghavendra Palankar; Isabel Panse; Kovit Pattanapanyasat; Malte Paulsen; Dinko Pavlinic; Livius Penter; Pärt Peterson; Christian Peth; Jordi Petriz; Federica Piancone; Winfried F Pickl; Silvia Piconese; Marcello Pinti; A Graham Pockley; Malgorzata Justyna Podolska; Zhiyong Poon; Katharina Pracht; Immo Prinz; Carlo E M Pucillo; Sally A Quataert; Linda Quatrini; Kylie M Quinn; Helena Radbruch; Tim R D J Radstake; Susann Rahmig; Hans-Peter Rahn; Bartek Rajwa; Gevitha Ravichandran; Yotam Raz; Jonathan A Rebhahn; Diether Recktenwald; Dorothea Reimer; Caetano Reis e Sousa; Ester B M Remmerswaal; Lisa Richter; Laura G Rico; Andy Riddell; Aja M Rieger; J Paul Robinson; Chiara Romagnani; Anna Rubartelli; Jürgen Ruland; Armin Saalmüller; Yvan Saeys; Takashi Saito; Shimon Sakaguchi; Francisco Sala-de-Oyanguren; Yvonne Samstag; Sharon Sanderson; Inga Sandrock; Angela Santoni; Ramon Bellmàs Sanz; Marina Saresella; Catherine Sautes-Fridman; Birgit Sawitzki; Linda Schadt; Alexander Scheffold; Hans U Scherer; Matthias Schiemann; Frank A Schildberg; Esther Schimisky; Andreas Schlitzer; Josephine Schlosser; Stephan Schmid; Steffen Schmitt; Kilian Schober; Daniel Schraivogel; Wolfgang Schuh; Thomas Schüler; Reiner Schulte; Axel Ronald Schulz; Sebastian R Schulz; Cristiano Scottá; Daniel Scott-Algara; David P Sester; T Vincent Shankey; Bruno Silva-Santos; Anna Katharina Simon; Katarzyna M Sitnik; Silvano Sozzani; Daniel E Speiser; Josef Spidlen; Anders Stahlberg; Alan M Stall; Natalie Stanley; Regina Stark; Christina Stehle; Tobit Steinmetz; Hannes Stockinger; Yousuke Takahama; Kiyoshi Takeda; Leonard Tan; Attila Tárnok; Gisa Tiegs; Gergely Toldi; Julia Tornack; Elisabetta Traggiai; Mohamed Trebak; Timothy I M Tree; Joe Trotter; John Trowsdale; Maria Tsoumakidou; Henning Ulrich; Sophia Urbanczyk; Willem van de Veen; Maries van den Broek; Edwin van der Pol; Sofie Van Gassen; Gert Van Isterdael; René A W van Lier; Marc Veldhoen; Salvador Vento-Asturias; Paulo Vieira; David Voehringer; Hans-Dieter Volk; Anouk von Borstel; Konrad von Volkmann; Ari Waisman; Rachael V Walker; Paul K Wallace; Sa A Wang; Xin M Wang; Michael D Ward; Kirsten A Ward-Hartstonge; Klaus Warnatz; Gary Warnes; Sarah Warth; Claudia Waskow; James V Watson; Carsten Watzl; Leonie Wegener; Thomas Weisenburger; Annika Wiedemann; Jürgen Wienands; Anneke Wilharm; Robert John Wilkinson; Gerald Willimsky; James B Wing; Rieke Winkelmann; Thomas H Winkler; Oliver F Wirz; Alicia Wong; Peter Wurst; Jennie H M Yang; Juhao Yang; Maria Yazdanbakhsh; Liping Yu; Alice Yue; Hanlin Zhang; Yi Zhao; Susanne Maria Ziegler; Christina Zielinski; Jakob Zimmermann; Arturo Zychlinsky Journal: Eur J Immunol Date: 2019-10 Impact factor: 6.688