Maria Arista-Romero1, Pietro Delcanale2, Silvia Pujals1, Lorenzo Albertazzi1,3. 1. Nanoscopy for Nanomedicine Group, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, C\Baldiri Reixac 15-21, Helix Building, 08028 Barcelona, Spain. 2. Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, Parco area delle Scienze 7/A, 43124 Parma, Italy. 3. Department of Biomedical Engineering, Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5612AZ Eindhoven, The Netherlands.
Abstract
Influenza recombinant proteins and virus-like particles (VLPs) play an important role in vaccine development (e.g., CadiFlu-S). However, their production from mammalian cells suffers from low yields and lack of control of the final VLPs. To improve these issues, characterization techniques able to visualize and quantify the different steps of the process are needed. Fluorescence microscopy represents a powerful tool able to image multiple protein targets; however, its limited resolution hinders the study of viral constructs. Here, we propose the use of super-resolution microscopy and in particular of DNA-point accumulation for imaging in nanoscale topography (DNA-PAINT) microscopy as a characterization method for recombinant viral proteins on both cells and VLPs. We were able to quantify the amount of the three main influenza proteins (hemagglutinin (HA), neuraminidase (NA), and ion channel matrix protein 2 (M2)) per cell and per VLP with nanometer resolution and single-molecule sensitivity, proving that DNA-PAINT is a powerful technique to characterize recombinant viral constructs.
Influenza recombinant proteins and virus-like particles (VLPs) play an important role in vaccine development (e.g., CadiFlu-S). However, their production from mammalian cells suffers from low yields and lack of control of the final VLPs. To improve these issues, characterization techniques able to visualize and quantify the different steps of the process are needed. Fluorescence microscopy represents a powerful tool able to image multiple protein targets; however, its limited resolution hinders the study of viral constructs. Here, we propose the use of super-resolution microscopy and in particular of DNA-point accumulation for imaging in nanoscale topography (DNA-PAINT) microscopy as a characterization method for recombinant viral proteins on both cells and VLPs. We were able to quantify the amount of the three main influenza proteins (hemagglutinin (HA), neuraminidase (NA), and ion channel matrix protein 2 (M2)) per cell and per VLP with nanometer resolution and single-molecule sensitivity, proving that DNA-PAINT is a powerful technique to characterize recombinant viral constructs.
Influenza
virus-like particles
(VLPs) are currently under study for their promising role as vaccines,[1−7] and one VLP vaccine against influenza is on the market (CadiFlu-S,
CPL Biological).[8,9] They consist of small structures
(∼100 nm width) that mimic the viral particle with multicomponent
organization yet without genetic material[10,11] and thus are unable to replicate.The process of the production
of enveloped VLPs in mammalian cells
is simple and only needs transfected cells expressing recombinant
proteins of the virus on the membrane, which would then self-assemble
to release empty viruses.[12−15] Moreover, this process is free of contaminants (e.g.,
baculovirus[2,16,17]) and allows for protein post-translational modifications such as
glycosylation and the incorporation of lipopolysaccharides.[10,11,16−20] However, they suffer from several limitations such
as low yield of the production and lack of control that often results
in heterogeneous VLP production.Therefore, significant efforts
have been dedicated to modify cell
lines to increase the expression yield of influenza VLPs and minimize
heterogeneity.[21−24]In this framework, the characterization of transfected cells
and
VLPs is crucial. Currently, viral constructs are characterized by
DLS, ELISA, and Western blot and with electron microscopy (EM), providing
information about their size and average protein content, but these
methods do not allow the study of the spatial distribution and amount
of protein per cell or per VLP and thus do not analyze the heterogeneity
of the produced sample. Understanding recombinant protein expression
at single-molecule, single-VLP, and single-cell level is important
to guide the optimization of VLP synthesis.Fluorescence microscopy
is the logical method to use to map multiple
proteins in VLPs and cells, thanks to its multicolor ability. However,
due to the small size of influenza constructs (≤100 nm), it
is impossible to characterize the protein expression and distribution
on cells and VLPs with conventional fluorescent microscopy due to
the diffraction limit of the light (250 nm).[25,26] In the past decade, super-resolution microscopy and in particular
single-molecule localization microscopy (SMLM) emerged to study and
characterize viral structures.[27−32]The SMLM technique called DNA-point accumulation for imaging
in
nanoscale topography (DNA-PAINT)[33] has
appeared as a great candidate to quantify and visualize targets in
the nanoscale.[34] In DNA-PAINT, single-molecule
visualization is obtained by the transient and specific binding of
two short sequences of DNA: one bound to the target (docking) and
the other, to a dye (imager). Through the localization of these single-molecule
events, a resolution of around 10 nm can be obtained.[35,36] The use of multiple, reversible, and controlled DNA–DNA interactions
allows photobleaching to be avoided, controls binding times, and permits
high multiplexing imaging as well as enables up to 124 color images
to be obtained and quantifies targets using quantitative PAINT (qPAINT).[34,37,38] This technique has been successfully
applied on nanostructures such as nanoparticles,[39,40] exosomes,[41] and membrane receptors[42] but, up to the date, never on viral proteins.To disclose how recombinant viral expression is carried out from
mammalian cells and if it affects the final protein content of the
VLPs, we characterized with DNA-PAINT the nanostructural distribution
of the three main proteins of influenza (hemagglutinin, neuraminidase,
and matrix protein-2)[11] on recombinant
cells and VLPs isolates. We quantified at single-particle level the
amount of the three proteins expressed on cells, where we observed
a heterogeneous production of proteins within the population. Besides,
with the nanoscale mapping performed with DNA-PAINT, we studied the
clustering and interactions of the viral proteins with time, while
VLPs are being formed on the membrane. Finally, VLPs were imaged,
quantifying the protein content and the spatial distribution of the
three proteins at the single-particle level.DNA-PAINT is an
extremely powerful SMLM technique that provides
solid information about recombinant viral protein expression at levels
never studied.
Results and Discussion
The microscopy
workflow followed the steps depicted in Figure . First, COS-7 cells
were simultaneously transfected with three different plasmids for
three proteins of influenza, hemagglutinin (HA), neuraminidase (NA),
and ion channel matrix protein 2 (M2) (Figure A), which were necessary to obtain influenza
VLPs.[11,43,44] Recombinant
viral proteins self-assemble on the cell membrane, forming and releasing
VLPs in the cell medium, where they can be collected and purified
(Figure A). Then,
cells are fixed, and VLPs were collected; multiplexed DNA-PAINT imaging
was used to characterize protein expression on both VLPs and transfected
cells (Figure B).
Figure 1
Diagram
of the workflow followed for the characterization of recombinant
viral proteins with DNA-PAINT. (A) (1) COS-7 cells were transfected
with 3 different plasmids containing the 3 main envelope proteins
of the influenza PR8 strain. After the transcription and translation,
mature proteins reach the cell membrane. The proteins interact by
self-assembly (2) and produce the virus-like particles (VLPs) by budding
from the membrane (3). VLPs were then purified by ultracentrifugation
with a sucrose gradient (4). (B) Both fixed cells expressing the recombinant
proteins and the purified VLPs were immunostained with primary and
docking-containing secondary antibodies. For DNA-PAINT imaging, the
Atto-647N-conjugated imager was added to the sample. After the acquisition
of the image, the imager was washed out and a second imager (with
the complementary sequence for a different docking strand) was added;
this process can be repeated N times, and in our
case, it was repeated 3 times to image the 3 target proteins sequentially.
(5) After image acquisition, analysis and postprocessing of the image
reveal a density map for each protein target.
Diagram
of the workflow followed for the characterization of recombinant
viral proteins with DNA-PAINT. (A) (1) COS-7 cells were transfected
with 3 different plasmids containing the 3 main envelope proteins
of the influenza PR8 strain. After the transcription and translation,
mature proteins reach the cell membrane. The proteins interact by
self-assembly (2) and produce the virus-like particles (VLPs) by budding
from the membrane (3). VLPs were then purified by ultracentrifugation
with a sucrose gradient (4). (B) Both fixed cells expressing the recombinant
proteins and the purified VLPs were immunostained with primary and
docking-containing secondary antibodies. For DNA-PAINT imaging, the
Atto-647N-conjugated imager was added to the sample. After the acquisition
of the image, the imager was washed out and a second imager (with
the complementary sequence for a different docking strand) was added;
this process can be repeated N times, and in our
case, it was repeated 3 times to image the 3 target proteins sequentially.
(5) After image acquisition, analysis and postprocessing of the image
reveal a density map for each protein target.To do so, we preliminarily prepared secondary antibodies labeled
with a DNA-docking strand, following the protocol from Schnitzbauer
et al.[45] (Table S1). Each secondary antibody paired approximately 2.5 docking strains,
obtaining comparable amounts of localizations (between 8 and 10 localizations
per single antibody, Figure S11). We then
immunostained each protein of interest (HA, M2, and NA) with a specific
primary antibody and the corresponding secondary antibody, bearing
a docking strand. In this way, each protein is labeled with docking
strands having a specific oligonucleotide sequence.Finally,
the super-resolution DNA-PAINT images were acquired by
adding the imager, a DNA strand conjugated with Atto-647N, so that
each imager targets the secondary antibody exposing its complementary
docking strand. Since the three imagers employed in this study bear
the same dye (Atto-647N) and only differ in the oligonucleotide sequence,
they were introduced sequentially to perform multiplexed imaging of
the three proteins. As illustrated in Figure B, the first DNA-PAINT image of a target
protein is acquired upon introduction of the corresponding imager
in solution; subsequently, the solution is exchanged and replaced
with one containing another imager, so that a different target protein
is imaged with DNA-PAINT. The process is repeated until DNA-PAINT
images for each target protein are acquired. A chamber-tubing system
connected to a pump was used to exchange solutions while the sample
was maintained in the same position (Figure S1). Finally, a false color was assigned to each sequentially acquired
DNA-PAINT image, and the images were merged to reconstruct a final
multicolor DNA-PAINT image of the three target proteins.To
identify the timeline of the post-transfection (p.t.) expression
of recombinant proteins, we first checked the expression after 24
and 48 h p.t. with fluorescence microscopy (Figure S2). Results confirmed that after 24 h the expression levels
were similar to those at 48 h p.t., which is the time point where
VLPs are harvested from the culture medium.[14,18] Thus, to quantitatively monitor the recombinant protein expression,
DNA-PAINT images of the three proteins on the cell membrane were acquired
at both 24 and 48 h p.t., using the same imager concentration (1.5
nM) to obtain comparable results.Figure A,B shows
representative super-resolution images obtained for each protein (M2,
HA, NA) in the same region of the membrane. Visually, the expression
level of the three proteins seemed similar at both 24 h p.t. (Figure A) and 48 h p.t.
(Figure B). In order
to quantitatively compare expression levels for the different proteins,
in each image, the density of the DNA-PAINT localizations was calculated
within an area corresponding to the cell.
Figure 2
DNA-PAINT imaging on
cells expressing recombinant proteins after
24 or 48 h post transfection (p.t.). DNA-PAINT super-resolution images
of cell expressing the three influenza proteins (HA, NA, and M2 and
the mergence of the three of them) after (A) 24 h p.t. and (B) 48
p.t. The images show an area of the cell basal membrane. Scale bar:
5 μm. (C) Quantification of the localization density of HA,
NA, and M2 at 24 h and 48 h p.t. per cell (n = 10;
one point, one cell). Blue: 24 h p.t.; red: 48 h p.t. Mean and SD.
(D) Viral protein localizations of the three recombinant proteins
expressed within the same cell (n = 10; one point,
one cell). Blue: 24 h p.t.; red: 48 h p.t. The axes HA, NA, and M2
represent the localization density of each protein.
DNA-PAINT imaging on
cells expressing recombinant proteins after
24 or 48 h post transfection (p.t.). DNA-PAINT super-resolution images
of cell expressing the three influenza proteins (HA, NA, and M2 and
the mergence of the three of them) after (A) 24 h p.t. and (B) 48
p.t. The images show an area of the cell basal membrane. Scale bar:
5 μm. (C) Quantification of the localization density of HA,
NA, and M2 at 24 h and 48 h p.t. per cell (n = 10;
one point, one cell). Blue: 24 h p.t.; red: 48 h p.t. Mean and SD.
(D) Viral protein localizations of the three recombinant proteins
expressed within the same cell (n = 10; one point,
one cell). Blue: 24 h p.t.; red: 48 h p.t. The axes HA, NA, and M2
represent the localization density of each protein.Figure C
reports
the measured values of localization density (localizations/μm2) for the different proteins (HA, NA, M2) at 24 and 48 h p.t.,
obtained from the analysis of multiple cells. Figure D reports complementary information where
each point in the three-dimensional plot represents a cell, and the
three coordinates of the point are the measured localization densities
of the three proteins (HA, NA, M2).When we examined the localization
densities in the whole population
of cells analyzed (Figure C), we observed that the average values obtained for the three
proteins were similar. The densities ranged between 100 and 400 localizations/μm2, independently of the protein type. Moreover, no significant
difference was observed between 24 and 48 h p.t, consistent with the
qualitative measurement obtained with fluorescence microscopy (Figure S2).However, this data also provides
a quantification of cell-to-cell
differences in protein expression levels. Despite cells being transfected
at the same time and treated in the same way, Figure C shows a relevant heterogeneity in the measured
density between single cells. Though the average values displayed
are comparable, single cells produced recombinant proteins at different
yields, pointing out the heterogeneity of this recombinant expression
system. This has deep implications for the production of VLPs as different
cells will produce VLPs with different protein contents.Finally,
thanks to the multiplexing ability of DNA-PAINT, we could
relate and compare the localization density of the three proteins
expressed within the same cell (Figure D). No clear correlation is observed between localization
densities of the three proteins within the same cell. This suggests
that the expression of each protein is independent of the other. Importantly,
control experiments performed with other recombinant proteins (LacZ)
and noncomplementary imagers (Figure S3) yielded significantly lower localization densities, ensuring that
nonspecific signals from unwanted interactions are negligible.Overall, these quantitative results show that COS-7 cells expressed
the three recombinant proteins with similar levels, on average, but
with a high cell-to-cell variability. Remarkably, this information
is not achieved with traditional bulk techniques such as ELISA or
Western blot. Additionally, no correlation is observed between expression
levels of the three recombinant proteins on the same cell. These findings
highlight that a constant and reproducible expression of recombinant
proteins is hardly achieved at the level of a single cell.Moreover,
observing a close-up of the merged areas on the super-resolution
images (Figure A),
we could detect that a fraction of proteins was arranged in clusters
(arrowheads), a possible indication of VLP budding formation.[12] In order to measure the observed differences
in protein arrangement with time, we carried out an analysis of cluster
size and composition (see the methods in the Supporting Information).
Figure 3
Recombinant protein distribution along the membrane of
cells at
24 and 48 h post-transfection (p.t.). (A) Close-up of DNA-PAINT super-resolution
images of the 3 proteins expressed within the same cell at 24 and
48 h p.t. The arrowheads indicate the bigger cluster agglomerations
and colocalizations. Scale bar, 500 nm. Red: NA; magenta: M2; green:
HA. (B) Normalized cluster size distribution of each protein expressed
in the whole population of cells at 24 and 48 h p.t. The normalized
distribution of the diameter (nm) showed two populations where black
lines show the result of a fitting with a two-Gaussian model number
of clusters measured, n = 6000. (C) Percentage of
colocalizations of the localizations of the three pairs of proteins
within the same cell (n = 3). 2-way ANOVA test on
the factor “time”, P < 0.0001; colocalizations
at 24 and 48 h p.t. are statistically significantly different.
Recombinant protein distribution along the membrane of
cells at
24 and 48 h post-transfection (p.t.). (A) Close-up of DNA-PAINT super-resolution
images of the 3 proteins expressed within the same cell at 24 and
48 h p.t. The arrowheads indicate the bigger cluster agglomerations
and colocalizations. Scale bar, 500 nm. Red: NA; magenta: M2; green:
HA. (B) Normalized cluster size distribution of each protein expressed
in the whole population of cells at 24 and 48 h p.t. The normalized
distribution of the diameter (nm) showed two populations where black
lines show the result of a fitting with a two-Gaussian model number
of clusters measured, n = 6000. (C) Percentage of
colocalizations of the localizations of the three pairs of proteins
within the same cell (n = 3). 2-way ANOVA test on
the factor “time”, P < 0.0001; colocalizations
at 24 and 48 h p.t. are statistically significantly different.At 24 h p.t., the normalized diameter distribution
(Figure B, left) of
the identified
clusters displayed two main cluster populations for all proteins:
a smaller population with a peak value at ∼60 nm diameter and
a main population with a peak value at ∼110 nm. The relative
amplitude of the two populations is similar for the three proteins:
the peak at ∼110 nm diameter is roughly two times higher that
the peak at ∼60 nm diameter. A more precise comparison is obtained
by fitting the distributions with a two-Gaussian model and calculating
the peak ratio (amplitude of peak at ∼110 nm/amplitude of peak
at ∼60 nm): 2.4 for HA, 1.6 for NA, and 1.8 for M2. In addition,
discerning the two populations closely (Figures S4 and S5), we observed that ∼75% of the clusters found
presented a sized distribution between 71 and 170 nm, whereas the
presence of small clusters is a minority.Notably, the distributions
changed significantly at 48 h p.t. (Figure B, right; Figure S4). While the positions of the peaks
(at ∼60 and ∼110 nm) are very similar to those observed
at 24 h p.t., their relative amplitude is much more alike if compared
with the previous case. The measured peak ratios obtained at 48 h
p.t. are 1.3 for HA, 1.1 for NA, and 1.7 for M2. In particular, clusters
of NA proteins even show two populations with the same amplitude (Figures B and S4). We hypothesized that this moderate change
in cluster distribution could be related to the VLP release: while
small clusters remain constant in time (from 24 to 48 h p.t.), the
big aggregation of proteins is more likely to form VLPs and be released
at 48 h p.t than at 24 h p.t.To confirm this concept, we measured
colocalization between all
the proteins (Figure C) with a previously developed analysis tool, Clus-DoC, by Pageon
et al.[46] Briefly, this algorithm compares
the local density of localizations of two channels, i.e., two proteins.
For each localization of a DNA-PAINT image, the surrounding localization
density in both channels is calculated within an area of increasing
radius, providing the density gradients of both channels. These gradients
are then compared to yield a degree of colocalization (DoC) parameter,
ranging from −1 (full segregation) to +1 (full colocalization),
which is assigned to each localization. A representative output of
the analysis is given in Figure S6A. We
then selected a threshold value of 0.4 for the DoC, above which a
localization significantly colocalizes with surrounding localizations
of the other channel. This choice is based on a previous observation
that the DoC values obtained for two identical images shifted by 10
nm (i.e., the highest resolution achieved by PAINT) were above 0.4.Figure C summarizes
the colocalization results for each protein pair obtained at 24 and
48 h p.t., where the percentage of colocalized localizations is the
percentage of localization having a DoC above 0.4. The general percentage
of colocalized proteins at 24 h oscillated between 12% and 22%, except
for HA compared to M2, which exhibited an unexpected low level of
colocalization (Figure S6B). However, at
48 h, the colocalization boosted up to ∼40% for all protein
pairs. This increase protein colocalization at 48 h p.t. was statistically
significant and correlates with the decreased amount of large clusters
of proteins, as highlighted in Figure B. These facts are consistent with an enhanced production
and release of VLPs with a width of around 100 nm occurring after
48 h p.t. with respect to 24 h.In brief, our method allows
the imaging and localization of recombinant
viral proteins on the cell membrane at the nanoscale, not only retrieving
quantitative information about the amount of protein produced but
also correlating the extent of expression for each protein at the
single-cell level. Further analysis allows the quantification of the
clusters formed on the membrane and of the interaction of the three
proteins, opening the possibility to describe the evolution and colocalization
of recombinant proteins on the membrane with time.Having measured
the heterogeneous expression in cells and how proteins
organize with respect to time on the cell membrane prior to the release
of VLP, we focused our attention on the protein mapping within isolated
VLPs using multiplexed DNA-PAINT. By quantifying the amount of the
three proteins per single VLP at single-particle level, we aimed to
relate the previously studied protein expression at cellular level
with the resulting protein content within single VLPs stemming from
the cells.Multiplexed DNA-PAINT characterization of nanostructures
has been
deeply described on nanoparticles[39] and
exosomes,[41] which have similar size and
shape to influenza VLPs. For this purpose, we produced, isolated,
and labeled VLPs produced from COS-7 cells previously studied and
applied DNA-PAINT imaging to describe the distribution of the recombinant
proteins at the single-particle level. To make sure the VLPs were
properly isolated, all the fractions recovered from the ultracentrifugation
sucrose gradient (Figure S7) were measured
with dynamic light scattering (DLS) to select the samples with low
polydispersity (PDI) and the right size (∼100 nm) (fraction
corresponding to 42–45% sucrose). Besides DLS, the size of
the recovered VLPs was determined with conventional techniques such
as transmission electron microscopy (TEM) and super-resolution microscopy
(STORM), which measured between 75 and 110 nm (Figure S8).To perform the multiplexed DNA-PAINT, VLPs
were first labeled with
a hydrophobic dye (DiI) that was employed as a reference to identify
the particles on the glass coverslip. The immunostaining of target
proteins on VLPs (HA, NA, M2) was performed in solution, using ultracentrifugation
for removing the unbound antibodies. In this experiment, we performed
a two-label immunostaining (details in the methods in the Supporting Information); hence, we divided the
protein identification in two pairs of proteins: we first labeled
HA and NA and then M2 and NA, performing 2 separate experiments with
the same conditions. Antibody labeled VLPs were incubated on a clean
glass-bottom Petri dish for 30 min, followed by adding the first imager
for the acquisition of a DNA-PAINT image, washing, and adding the
second imager with the previously described tubing system (Figure S1).During the image acquisition,
DiI was used as a drifting corrector
and further to localize the VLPs and analyze the localizations of
each protein around them, measuring the total amount of localization
surrounding each DiI signal (details in the methods in the Supporting Information).Figure A shows
the reconstructed images obtained for the two immunostained proteins
on VLP. The nanoscale distribution of the localizations from HA (green)
and NA (red) within the same VLP was directly visualized with DNA-PAINT.
It can be observed that both HA and NA localizations formed small
clusters along the structure in some cases (e.g., lower panels), while
being more evenly distributed in other cases (e.g., upper panels).
Generally, the population of VLPs displayed a strong heterogeneity,
both intraparticle and interparticle, within the population of VLPs
studied. The average value of the total amount of localization per
VLP for both proteins is displayed in Figure B, where HA showed an average of ∼120
localizations per VLP while NA had ∼56 localizations. When
we plotted the distribution of the localizations in the whole population
of VLPs measured (Figure S9), we observed
that HA displays a broader distribution than NA.
Figure 4
DNA-PAINT characterization
of recombinant viral proteins on the
resulting VLPs obtained at 48 h post-transfection. (A) DNA-PAINT super-resolution
images of the two samples prepared: a single VLP immunostained against
HA and NA (left) and M2 and NA (right). Scale bar 100 nm. N = 1400. (B) Left: Average number of the localizations
of HA and NA per VLP. WP represents the negative control obtained
with the wrong pairing (WP) of docking and imager, i.e., imager mispairing
on VLP (mean and SEM). Right: localizations of NA and HA within the
same VLP. (C) Left: Average of the localizations of M2 and NA per
VLP. WP represents the negative control or wrong pairing (WP); imager
mispairing on VLP (mean and SEM). Right: localizations of NA and M2
within the same VLP. N = 1300.
DNA-PAINT characterization
of recombinant viral proteins on the
resulting VLPs obtained at 48 h post-transfection. (A) DNA-PAINT super-resolution
images of the two samples prepared: a single VLP immunostained against
HA and NA (left) and M2 and NA (right). Scale bar 100 nm. N = 1400. (B) Left: Average number of the localizations
of HA and NA per VLP. WP represents the negative control obtained
with the wrong pairing (WP) of docking and imager, i.e., imager mispairing
on VLP (mean and SEM). Right: localizations of NA and HA within the
same VLP. (C) Left: Average of the localizations of M2 and NA per
VLP. WP represents the negative control or wrong pairing (WP); imager
mispairing on VLP (mean and SEM). Right: localizations of NA and M2
within the same VLP. N = 1300.Furthermore, since we could measure the amount of localizations
at single-particle level, we could match the amount of both proteins
within the same VLP (Figure B, right plot). We observe an essential lack of correlation
between the amounts of localizations of NA and HA. Indeed, no clear
trend can be identified in this plot, which simply points out that
each VLP contained a different amount of proteins, confirming the
enormous heterogeneity of the recombinant protein presence in the
population of VLPs.Similarly, the nanoscale distribution of
M2 and NA proteins (magenta
and red, respectively) exhibited marked heterogeneity, both intraparticle
and interparticle (Figure A–C). Interestingly, NA and M2 proteins generated a
nearly identical amount of localizations on the surface of analyzed
VLPs, both containing ∼60 localizations (Figures C and S9). In
this case, when the presence of both proteins within the same VLP
particle was compared (Figure C, right), a lack of clear correlation of the incidence of
both proteins could be seen. To check the specificity of the imager-docking
recognition, we performed two control experiments using imagers with
a DNA sequence that was noncomplementary to that of the docking (wrong
pairing WP) (Figure S10), obtaining a significantly
lower amount of localizations, proving the robustness and specificity
of the imaging DNA-PAINT system.Surprisingly, the relative
amount of localizations between the
different proteins on the VLPs is not aligned with the amount of localizations
expressed on the cell membranes. In VLPs, HA is doubly expressed,
while in cells, its expression is similar to the other proteins. This
could be explained by the self-assembly nature of the VLP formation,
where HA has a higher propensity to be incorporated. All in all, with
DNA-PAINT, it was possible to characterize the allocation of the recombinant
proteins at single-particle level, observing their intraparticle and
interparticle distribution and quantifying the amount of localizations
of both proteins within the same VLP, proving the heterogeneity in
protein expression and in protein content for three proteins in the
total population of VLPs.
Conclusions
In conclusion, DNA-PAINT
proved to be a robust, sensitive, and
versatile tool to characterize the recombinant viral protein expression.
Thanks to the multiplexing ability of DNA-PAINT, we could quantify
the expression of three different recombinant proteins on biological
samples using exactly the same imaging conditions (laser power, dye,
and optics/filters).First, we successfully characterized the
heterogeneous expression
of the three proteins of influenza transfected at the same time on
COS-7 cells, comparing the expression on the same surface area with
time. The results confirmed that recombinant proteins are expressed
heterogeneously in mammalian cells with large cell-to-cell variability
in the level of the three proteins.Thus, we could characterize
the distribution of the proteins that
were organized in clusters on the membrane, achieving resolutions
of 10–15 nm that allowed the identification of two populations
of clusters, small (60–70 nm) and big (100–110 nm),
in different proportions that changed with time. Concurrently, the
localizations retrieved in the super-resolution analysis allowed a
colocalization analysis, showing that with time the clusters increased
the percentage of colocalization. All the information obtained would
help to describe the recombinant expression model, and even though
the expression of the proteins was quite heterogeneous, the protein
distribution and interaction stayed balanced; most of the proteins
displayed similar sizes and percentages of colocalizations that changed
evenly in time.Furthermore, DNA-PAINT provided single-particle
insights of the
recombinant proteins on VLPs formed from COS-7 cells, allowing the
quantification and visualization of the distribution of the proteins
along the particle, offering single-particle measurements of the two
proteins characterized at the VLP level. Remarkably, NA and M2 presented
similar features in terms of the amount of localizations and cluster
distribution along the particle, while HA was doubly expressed. These
localizations per VLP were not correlated to the one observed in the
cells, indicating that the VLP content is not related to the total
amount of protein expressed on the cells but to the viral budding
mechanism. The visualization of where the proteins are distributed
on the VLP at the single-particle level would lead us to understand
the heterogeneity of the population of intraparticle and interparticle
VLPs, a critical feature for clinical approaches.This nanocharacterization
and semiquantification based on DNA-PAINT
is a powerful tool to study and define new vaccine systems. In fact,
this insight could be key in the characterization of new vaccines,
such as COVID-19 vaccines, consisting of mRNA vectors that produce
recombinant proteins in mammalian cells.[47−49]
Authors: Orsolya K Wade; Johannes B Woehrstein; Philipp C Nickels; Sebastian Strauss; Florian Stehr; Johannes Stein; Florian Schueder; Maximilian T Strauss; Mahipal Ganji; Joerg Schnitzbauer; Heinrich Grabmayr; Peng Yin; Petra Schwille; Ralf Jungmann Journal: Nano Lett Date: 2019-03-13 Impact factor: 11.189
Authors: Ugur Sahin; Alexander Muik; Evelyna Derhovanessian; Isabel Vogler; Lena M Kranz; Mathias Vormehr; Alina Baum; Kristen Pascal; Jasmin Quandt; Daniel Maurus; Sebastian Brachtendorf; Verena Lörks; Julian Sikorski; Rolf Hilker; Dirk Becker; Ann-Kathrin Eller; Jan Grützner; Carsten Boesler; Corinna Rosenbaum; Marie-Cristine Kühnle; Ulrich Luxemburger; Alexandra Kemmer-Brück; David Langer; Martin Bexon; Stefanie Bolte; Katalin Karikó; Tania Palanche; Boris Fischer; Armin Schultz; Pei-Yong Shi; Camila Fontes-Garfias; John L Perez; Kena A Swanson; Jakob Loschko; Ingrid L Scully; Mark Cutler; Warren Kalina; Christos A Kyratsous; David Cooper; Philip R Dormitzer; Kathrin U Jansen; Özlem Türeci Journal: Nature Date: 2020-09-30 Impact factor: 49.962