Shen Han1, Marco Raabe1,2, Lorna Hodgson3, Judith Mantell3, Paul Verkade3, Theo Lasser1,4, Katharina Landfester1, Tanja Weil1,2, Ingo Lieberwirth1. 1. Max-Planck Institute for Polymer Research , Ackermannweg 10 , 55128 Mainz , Germany. 2. Institute of Inorganic Chemistry I , Ulm University , Albert-Einstein-Allee 11 , 89081 Ulm , Germany. 3. School of Biochemistry , University of Bristol , Medical Sciences Building, University Walk , BS8 1TD Bristol , United Kingdom. 4. Laboratoire d'Optique Biomédical , École Polytechnique Fédérale de Lausanne , CH-1015 Lausanne , Switzerland.
Abstract
Fluorescent nanodiamonds (fNDs) represent an emerging class of nanomaterials offering great opportunities for ultrahigh resolution imaging, sensing and drug delivery applications. Their biocompatibility, exceptional chemical and consistent photostability renders them particularly attractive for correlative light-electron microscopy studies providing unique insights into nanoparticle-cell interactions. Herein, we demonstrate a stringent procedure to image and quantify fNDs with a high contrast down to the single particle level in cells. Individual fNDs were directly visualized by energy-filtered transmission electron microscopy, that is, inside newly forming, early endosomal vesicles during their cellular uptake processes as well as inside cellular organelles such as a mitochondrion. Furthermore, we demonstrate the unequivocal identification, localization, and quantification of individual fNDs in larger fND clusters inside intracellular vesicles. Our studies are of great relevance to obtain quantitative information on nanoparticle trafficking and their various interactions with cells, membranes, and organelles, which will be crucial to design-improved sensors, imaging probes, and nanotherapeutics based on quantitative data.
Fluorescent nanodiamonds (fNDs) represent an emerging class of nanomaterials offering great opportunities for ultrahigh resolution imaging, sensing and drug delivery applications. Their biocompatibility, exceptional chemical and consistent photostability renders them particularly attractive for correlative light-electron microscopy studies providing unique insights into nanoparticle-cell interactions. Herein, we demonstrate a stringent procedure to image and quantify fNDs with a high contrast down to the single particle level in cells. Individual fNDs were directly visualized by energy-filtered transmission electron microscopy, that is, inside newly forming, early endosomal vesicles during their cellular uptake processes as well as inside cellular organelles such as a mitochondrion. Furthermore, we demonstrate the unequivocal identification, localization, and quantification of individual fNDs in larger fND clusters inside intracellular vesicles. Our studies are of great relevance to obtain quantitative information on nanoparticle trafficking and their various interactions with cells, membranes, and organelles, which will be crucial to design-improved sensors, imaging probes, and nanotherapeutics based on quantitative data.
During the past decades, nanoparticles
have transformed biomedicine as traceable drug carriers and sensitive
probes for therapy and diagnostics.[1] They
have provided important insights into diseases and serve as a valuable
platform for imaging and therapy of, for example, cancer cells and
tissue in (pre)clinical studies.[2] To further
advance nanomedicine approaches and to avoid risks of nanoparticle-induced
toxicity, a deeper understanding of nanoparticle-cell interactions[3,4] during their cellular uptake processes,[5,6] intracellular
release, and trafficking[7] is crucial. Light
microscopy (LM) and transmission electron microscopy (TEM) have been
applied to visualize nanoparticle–cell interactions. However,
classical LM is limited by the wavelength of light and does not provide
resolution beyond the diffraction limit (∼200 nm).[8] Super-resolution techniques such as stimulated
emission depletion (STED), stochastic optical reconstruction microscopy
(STORM), photoactivated localization microscopy (PALM), or super-resolution
optical fluctuation imaging (SOFI) enabled resolutions down to the
nanometer scale[9,10] but these optical imaging techniques
require very photostable fluorescent markers. Super-resolution microscopy
techniques like STED provide spatial resolution of 40 nm in HeLa cells,
which is still about 100 times lower compared to the resolution of
TEM (below 1 nm) and surrounding structures could not be imaged.[11,12] In contrast, electron microscopy provides morphological visualization
at unmatched resolution without the need to apply specific marker
molecules. Recently, correlative light-electron microscopy (CLEM)
has emerged as the method of choice to gain unique insights into exo-
and endogenous cellular structures and to precisely localize endogenous
proteins[11,13,14] or nanoparticles
with high resolution providing important information on, for example,
transporter trafficking[15] and membrane
uptake.[16,17] Quantum dots (QDs) and gold nanoparticles
have been applied as imaging probes for CLEM but they are limited
by their weak fluorescence,[18] blinking
problems of QDs,[19] and their inherent cytotoxicity,
raising various concerns for long-term in vitro and in vivo studies.[20,21]Fluorescent nanodiamonds (fNDs) have emerged as promising
and biocompatible[22] imaging probes in LM,
and they have been used for traceable drug delivery as well as nanoscale-sensing
applications.[22] These carbon-based nanoparticles
with nitrogen vacancy (NV–) defect color centers[23−26] provide stable fluorescence without blinking, which represents an
ideal prerequisite for single-particle tracking[23,27] and super-resolution studies[28] in cells.
In addition, the unique magneto-optical properties of NV– centers in diamond allow sensing of local magnetic fields,[29] temperature,[30−32] electric potentials,[33] and pH value[30] with
high sensitivity in living cells.We have established a straightforward
imaging approach using high-precision CLEM and dark-field energy filtered
transmission electron microscopy (EFTEM) to localize fNDs in cells
down to the single particle level. Until now, single fND tracking
remained challenging[34−36] and only information on their approximate location
and tracking paths was resolved. In previous work, image quality of
NDs in CLEM studies was limited due to the weak contrast of the all-carbon
composition of the diamond lattice, which has a similar chemical composition
as the resin matrix used in EM preventing imaging of individual fNDs[37,38] due to their low contrast within cells.[38−40] Attempts to
increase contrast and detectability in EM and/or LM focused on labeling
of the fNDs by gold nanoparticles[37] or
by coating with a silica shell.[38]Herein, dark-field contrast enhancement provided high image quality
with greatly enhanced contrast suitable for resolving unlabeled single
fNDs during their cellular uptake process and within cellular organelles
for the first time. In a first demonstration experiment, the number
of fNDs inside an endosomal vesicle was quantified. We envision that
the technique developed herein will provide quantitative understanding
of the various interactions of nanoparticles with cells and ultimately
pave the way to a rational design of nanoscale markers, sensors, and
reliable and reproducible nanotherapeutics.After synthesis,
fNDs strongly aggregate in aqueous buffer due to their high number
of negatively charged surface groups. Therefore, uncoated fNDs could
not be used as single particle probes for cellular studies, and fND
surface coating is essential to stabilize them in cellular environments.
Herein, fNDs with 35 nm mean-diameter have been used whose surface
was oxidized under harsh conditions in oxidizing acids (Figure S1d) and their dispersibility was enhanced
in Milli-Q water at low concentrations (0.1 mg/mL) by ultrasonification.
We have developed previously a copolymer derived from the blood plasma
protein humanserum albumin (dcHSA-PEG(2000)18), termed
dcHSA-PEG, containing multiple positively charged primary amino groups
and grafted poly(ethylene oxide) side chains (for further details
see SI, Figure S1c; the synthesis of this
polymer was reported before[41,42]) that readily adsorbed
to the surface of fNDs. Coated fNDs were purified by centrifugation
(18 000×g) and separated from the unbound
biopolymer. After coating with dcHSA-PEG, the surface charges changed
from a negative to a positive value (Figure S1d) and their hydrodynamic radius Rh increased
from 44.5 to 61.7 nm (dynamic light scattering, DLS, Figures S2 and 3). This relatively large increase of about
17 nm was also due to the loss of small fNDs during purification by
ultracentrifugation. For the in vitro studies, narrowly dispersed
fNDs of high colloidal stability in Dulbecco’s phosphate-buffered
saline (DPBS) were required. A monomodal distribution of coated fNDs
was detected in the dynamic light scattering (DLS) recorded at different
angles indicating no fND aggregate formation (Figures S2 and 3). Subsequently, the fNDs dissolved in DPBS
were visualized by TEM revealing well-dispersed single nanoparticles
distributed over the TEM grid (Figure S1b), whereas uncoated fNDs appeared mostly aggregated in DPBS on the
TEM grid (Figure S1a). The negatively charged
nitrogen vacancy (NV–) centers in fNDs emit light
at a wavelength of 680 nm after excitation with a 561 nm laser. Their
emission intensity depends on the number, size, and shape of the fNDs.
Herein, about 15 NV– on average were present statistically
distributed within the fNDs and their optical properties were not
affected by the biopolymer coating (Figure S1e). These coated fNDs were then used to study their cellular uptake
and trafficking by confocal laser scanning microscopy (CLSM) and TEM
in HeLa cells.First, the coated fNDs were vitrified and embedded
prior to LM and EM acquisition providing images from the same cellular
location (“in-resin CLEM”). Then, fNDs were examined
by LM followed by EM acquisition (“in-dish CLEM”). The
correlative imaging method provided localization of fNDs in fluorescence
microscopy and high-resolution EM micrographs from the same cellular
region of interest (ROI). Because of their stable emission intensity,
fNDs could be identified in CLSM as well as in EM despite their all-carbon
composition. Figure a,b reveals LM and EM images from the in-resin CLEM imaging of the
same section, where fND fluorescence was retained after the harsh
resin and polymerization treatment. The cellular structures appeared
well preserved even after staining with low amounts (0.1%) of uranyl
acetate (UA). Noteworthy, our imaging procedure did not rely on osmium
tetroxide (OsO4) as contrast enhancer. Compared to previously
reported epoxy resins for embedding,[38] the
Lowicryl matrix applied herein allowed efficient nucleus staining
with Hoechst dye (blue) on the section facilitating the selection
of the cells of interest in LM. Figure c shows fNDs clusters of different sizes, whose emission
was precisely colocalized with CLEM with high contrast.[38,39]
Figure 1
Correlative light-electron microscopy (CLEM) of fNDs in
HeLa cells showing the results of the in-resin (top) and in-dish (bottom)
preparation. (a) Confocal laser scanning microscopy (CLSM) of fNDs
(red) and nucleus (blue, Hoechst) on ultrathin section (120 nm nominal
thickness). (b) Transmission electron microscopy (TEM) of the same
section as in (a). (c) Overlay of (a,b). (d) A selected image (of
LM stack) with fNDs (red) and nucleus (blue, Hoechst) of a paraformaldehyde
(PFA) fixed HeLa cell. (e) Corresponding epoxy resin section of the
same cell as shown in (d) and the resulting CLEM overlay (f). Scale
bar: (a–c) 2 μm, (d–f) 5 μm. The white boxes
denoted in (c) refer to the areas displayed in Figure , and the box denoted in (f) refers to the
area shown in Figure .
Correlative light-electron microscopy (CLEM) of fNDs in
HeLa cells showing the results of the in-resin (top) and in-dish (bottom)
preparation. (a) Confocal laser scanning microscopy (CLSM) of fNDs
(red) and nucleus (blue, Hoechst) on ultrathin section (120 nm nominal
thickness). (b) Transmission electron microscopy (TEM) of the same
section as in (a). (c) Overlay of (a,b). (d) A selected image (of
LM stack) with fNDs (red) and nucleus (blue, Hoechst) of a paraformaldehyde
(PFA) fixed HeLa cell. (e) Corresponding epoxy resin section of the
same cell as shown in (d) and the resulting CLEM overlay (f). Scale
bar: (a–c) 2 μm, (d–f) 5 μm. The white boxes
denoted in (c) refer to the areas displayed in Figure , and the box denoted in (f) refers to the
area shown in Figure .
Figure 3
Single fND and fND clusters imaged by energy-filtered
transmission electron microscopy (EFTEM). (a,d) CLEM overlay; (b,e)
the corresponding TEM bright-field micrograph. (c,f) EFTEM micrograph
acquired at an energy loss of 100 eV with 10 eV slit width. The white
arrows indicate the detection of individual fNDs. The insets in (b,c)
represent line profile values of respective selected line (red dots
line). (g) EEL spectra of embedded fNDs (black), the embedded cell
(red) and a resin-only area (green), corresponding to the positions
indicated in (e) (the inset of (g) shows a zoom into the energy loss
range from 10 to 120 eV). The spectra were acquired by focusing the
electron beam on the respective area. (h) The line profile value of
the inset (EFTEM micrograph of two closely located fNDs, Gaussian
function fit of the data. (a,c) The magnification of the region marked
by the dashed box in Figure c; (d–f)Magnification of the area marked by the solid
box in Figure c. Scale
bar: 1 μm.
Figure 2
(a) CLEM micrograph constructed from the overlay of LM and TEM
micrograph showing the area denoted by the box in Figure f. The localization of the
fNDs by LM is shown in red, whereas the nucleus appears in blue. (b)
Tomogram section of the same region; black arrows indicate the disappearance
of the vesicle membrane. (c) The 3D model of fNDs clusters inside
the endosomal vesicle; fNDs appear in red and the cellular membrane
is shown in green; five vesicles are given in light green. Scale bar:
(a,b) 500 nm, (c) 250 nm.
The structural information (in-resin CLEM) was obtained within
one thin cell slice. In addition, we performed in-dish CLEM aiming
for three-dimensional (3D) tomography. Since z-stack images of the
sample were recorded with CLSM first (Figure d), spatial information on the sample as
well as the fluorescence signals of the fNDs were obtained before
the EM preparation. Cellular structures such as mitochondria remained
well preserved, and they could be imaged with high resolution and
contrast. Pronounced vesicle membranes around the fNDs clusters were
detected (Figures S4 and S5). Background
fluorescence was largely suppressed for an improved colocalization
and the CLSM and EM images appeared only slightly shifted (white arrows, Figure f), which was mainly
due to small changes in the position or shape changes of the living
cells before fixation.The coated fNDs showed pronounced
cellular uptake due to attractive electrostatic interactions with
the negatively charged cellular membrane as reported previously.[41] They mainly localized in spherical clusters
inside intracellular vesicles such as endosomes, lysosomes, or autophagosomes
(Figure ). EM provided
the required nanoscale resolution required to precisely quantify fNDs
inside these intracellular vesicles and to image their endosomal escape. Figure is an enlargement
of the area indicated in Figure f and clearly reveals a vesicle in close proximity
to the cell nucleus (blue staining) and a mitochondrion located below.
In total, three clusters of fNDs were found inside the vesicle: two
at the top and a third smaller cluster at the bottom right close to
the membrane of the vesicle. Tomography of this vesicle was performed
to study the vesicle integrity. Figure b shows a cross section matching the LM overlay of Figure a. Despite the high
resolution, some parts (black arrows) of the membrane appeared disrupted,
especially at positions where the upper left and lower right fNDs
clusters were localized. This effect appeared even more pronounced
when analyzing the entire tomogram (see SI Movie 1). Obviously, fNDs induced disruption of the vesicular membrane,
which likely allowed their escape from vesicles as suggested also
by previous studies with labeled nanoparticles.[37,43] Segmentation of the vesicle together with fNDs is shown in Figure c and as a result
of the high-resolution TEM tomography; even single fNDs in the cluster
were identified. In Figure c, a total number of 101 fNDs (in red) and the outer membrane
of the endosome were segmented (in green) now allowing a quantification
of the fNDs per cluster. The fND clusters in the endosomal vesicles
were divided into three subvolumes: (1) the cluster located close
to the vesicle membrane at the upper left part contained 27 fNDs in
total (reconstructed in red), (2) the cluster located in the mid of
the endosome was formed by 61 fNDs, whereas (3) the clusters located
at the bottom right consisted of 13 fNDs. In addition, five small
vesicles were identified and segmented (in light green) within the
endosome.(a) CLEM micrograph constructed from the overlay of LM and TEM
micrograph showing the area denoted by the box in Figure f. The localization of the
fNDs by LM is shown in red, whereas the nucleus appears in blue. (b)
Tomogram section of the same region; black arrows indicate the disappearance
of the vesicle membrane. (c) The 3D model of fNDs clusters inside
the endosomal vesicle; fNDs appear in red and the cellular membrane
is shown in green; five vesicles are given in light green. Scale bar:
(a,b) 500 nm, (c) 250 nm.TEM micrographs did not provide sufficient contrast for the
detection of single fNDs within the embedding resin as both materials
mainly consist of carbon-based structures. In addition, their detection
by LM was limited by low fND concentrations within the thin sections
(in-resin CLEM) as well as the varying fluorescence quantum yields
among individual NDs, which resulted in fNDs occasionally not emitting
and therefore remaining invisible. Although previous CLEM studies
demonstrated an improvement for the visualization of intracellular
NDs with STED,[38] the discrimination of
individual ND in larger clusters still remains challenging if not
impossible. In order to compare and optimize fND imaging at the nanoscale,
we evaluated additional EM imaging methods summarized in Table highlighting the
specificity and resolution of the different techniques for detecting
fNDs in clusters as well as single fNDs.
Table 1
Comparison
of Different Methods to Image Single Intracellular fNDs Including
a Qualitative Assessment on Their Performance
technique
specificity for fND clusters
specificity for single NDs
resolution
fluorescence (FL)
CLEM
high specificity depending on the fND
emission
low specificity
high resolution
(EM grade)
FL information from both fNDs and labeled
organelles
EFTEM
high specificity
depending on the fND unique energy absorption
high specificity
depending on the unique energy adsorption of fNDs
high
resolution (EM grade)
no FL information
HAADF STEM
medium specificity depending on the
fND orientation
medium specificity depending on the
fND orientation
high resolution (EM grade)
no FL information
TEM (overfocus)
medium specificity depending on the fND Fresnel contrast fringes
medium specificity depending on the fND Fresnel contrast fringes
high resolution (EM grade)
no FL information
HAADF STEM
Dark-field
imaging (DF) using a high-angular annular dark-field detector with
scanning TEM (HAADF STEM, Figures S6 and 7) could in principle visualize single fNDs. However, diffraction-based
identification techniques like HAADF STEM and conventional DF imaging
rely on the correct orientation of the crystal with regard to the
incident electron beam and therefore, only few individual nanodiamond
crystals were detected, as demonstrated in Figure S7.
EFTEM
EFTEM allows the identification
and localization of individual fNDs in the in-resin and in-dish preparations
as this technique depends on the electron density but not on the orientations
of the fNDs. EFTEM has been applied previously to image gold particles
and QDs in HEp-2 cells for correlative microscopy studies[44] but it has not yet been used to identify intracellular
fNDs. Figure shows
the corresponding CLEM micrographs, TEM bright-field micrographs and
EFTEM micrographs of fNDs in HeLa cells. Three fNDs clusters (Figure a,b) were detected
in the TEM micrograph, which was confirmed by the fluorescence signal
in the LM image. The EFTEM micrograph in Figure c reveals the presence of two single fNDs
(arrows), which were barely visible in the bright field micrographs
and could not be detected by fluorescence imaging. After inverting Figure b, we calculated
the line value (red dotted line) crossing two single fNDs (Figure b,c). A Gaussian
fit was used to calculate the signal-to-noise ratio (Figure S10 and 11) in the EFTEM image (Figure c), which was significantly improved (4.0
and 3.3) compared to the signal-to-noise ratio (2.3 and 1.5) of the
TEM bright field image. In addition, we estimated the resolution using
the line profile crossing two fNDs (Figure h). The distance between the two peaks was
30 nm as calculated by a Gaussian function (Figure S12) and the Gaussian fitting result highly matched the line
value (R2 = 0.974). The detection limit
of fluorescence imaging becomes apparent in Figure d,e. The cluster in the left corner of Figure d consists of three
fNDs, whose fluorescence signal could still be resolved (the slight
mismatch was due to the time gap of the in-dish preparation), whereas
EFTEM (Figure f) clearly
shows the presence of three individual fNDs. The remarkable contrast
of fNDs in EFTEM imaging was attributed to the higher density of NDs
compared to the surrounding resin. The mean free path λ (the
average distance an electron propagates through the specimen before
being scattered) was lower in diamond compared to the surrounding
material and hence, the inelastic scattering intensity was increased,
which was experimentally confirmed by the electron energy loss (EEL)
spectra in Figure g. Accordingly, fNDs appeared with bright contrast when imaged with
an energy loss ΔE ranging from 50 eV up to
190 eV (Figure S8). This assumption was
further corroborated by the observation, that fNDs could be detected
easily in bright field imaging at large overfocus (Figure S9).Single fND and fND clusters imaged by energy-filtered
transmission electron microscopy (EFTEM). (a,d) CLEM overlay; (b,e)
the corresponding TEM bright-field micrograph. (c,f) EFTEM micrograph
acquired at an energy loss of 100 eV with 10 eV slit width. The white
arrows indicate the detection of individual fNDs. The insets in (b,c)
represent line profile values of respective selected line (red dots
line). (g) EEL spectra of embedded fNDs (black), the embedded cell
(red) and a resin-only area (green), corresponding to the positions
indicated in (e) (the inset of (g) shows a zoom into the energy loss
range from 10 to 120 eV). The spectra were acquired by focusing the
electron beam on the respective area. (h) The line profile value of
the inset (EFTEM micrograph of two closely located fNDs, Gaussian
function fit of the data. (a,c) The magnification of the region marked
by the dashed box in Figure c; (d–f)Magnification of the area marked by the solid
box in Figure c. Scale
bar: 1 μm.
TEM (Overfocus)
The bright Fresnel contrast fringes, which were formed around the
individual fNDs in TEM bright-field imaging, indicated that the fNDs
were phase objects attributed to their higher electron density, which
also offers potential for detecting individual fNDs without the need
for EFTEM or CLEM. The Fresnel fringes in the TEM micrograph appeared
due to the discontinuous potential change at the edge of the fND.
In overfocus conditions, this yielded a bright fringe around the object
in the TEM micrograph.[45] However, also
other phase objects presented in the specimen could be misinterpreted
as fND by this method.Our results clearly indicate that the
EFTEM approach represents the method of choice for detecting single
fNDs with high contrast and great spatial resolution within cells.
EFTEM even allowed an autonomous TEM screening of the entire sample
and subsequent qualitative data analysis was accomplished conveniently,
which offers the great potential to accelerate the precise identification
and quantification of intracellular fNDs.Figure a reveals a TEM image of fNDs close to the
extracellular matrix of the cellular membrane. The presence of the
single fND was clearly confirmed by EFTEM (Figure b), which was not detectable by CLEM and
standard TEM. It seemed that several fNDs formed clusters close to
the extracellular matrix, and a single fND was located already inside
the cell, presumably inside an early endosomal vesicle. Electron tomography
was performed on this site and Figure c shows a virtual slice of the tomogram (see SI Movie 2). Obviously, the formation of the
early endosome was still in process, and the membrane of the endosome
appeared still connected to the membrane of the cell. In order to
gain deeper insights into this process, the tomogram of this site
was segmented yielding a 3D model (Figure d) in which four fNDs were localized close
to the cellular membrane (in green), and a single fND appeared inside
the newly formed endosomal vesicle, highlighted in red. This 3D tomography
captured for the first time the process of cellular uptake of a single
fND as well as the presence of a membrane tunnel connecting the endosome
with the cellular membrane.
Figure 4
Interactions of single fNDs with cellular substructures.
(a,b) Bright-field TEM and dark-field EFTEM of single fND uptake;
(e,f) Bright-field TEM and dark-field EFTEM of fNDs inside a mitochondrion.
(c,g) Virtual slices from the tomogram, whereas (d,h) give the segmentation
of the tomograms of single fND uptake and localization inside a mitochondrion,
respectively. Scale bar: 200 nm.
Interactions of single fNDs with cellular substructures.
(a,b) Bright-field TEM and dark-field EFTEM of single fND uptake;
(e,f) Bright-field TEM and dark-field EFTEM of fNDs inside a mitochondrion.
(c,g) Virtual slices from the tomogram, whereas (d,h) give the segmentation
of the tomograms of single fND uptake and localization inside a mitochondrion,
respectively. Scale bar: 200 nm.Inside the cell, we screened for
single fNDs that were taken up into organelles, which is of great
interest for sensing,[22] drug delivery,[46] as well as understanding nanoparticle-related
toxicity.[22] Single fNDs localized in cellular
organelles are particularly challenging to detect. Figure e shows the TEM image of a
cluster of fNDs in direct proximity to a mitochondrion. The fND cluster
with dimensions of around 200 nm in diameter was detected in the upper
right corner in close vicinity to the mitochondrion, which was probably
too bulky to enter the cell organelle. EFTEM clearly showed the presence
of individual fNDs inside this mitochondrion (Figure f). The virtual section from the tomogram
(Figure g; see SI Movie 3) reveals two fNDs inside the mitochondrion
and the segmentation (Figure h) of the tomogram clearly supported that the fNDs were located
close to the inner membrane. Interestingly, there was no membrane
formed around the fNDs suggesting that during their uptake process
into the mitochondrion, the endosomal membrane surrounding the two
fNDs most likely coalesced with the mitochondrial membrane. One could
speculate that the two fNDs might originate from the larger fND cluster
located close to the mitochondrion. However, additional studies are
necessary to unravel the intracellular transport processes of nanoparticles
into mitochondria.In summary, we have demonstrated a stringent procedure to
image and quantify coated fNDs as clusters as well as down to the
single particle level inside cells. A bioinspired protein coating
was used to stabilize the fNDs inside cells, which has similarities
to the natural protein corona, formed when nanoparticles are subjected
to blood serum providing high colloidal stability and biocompatibility.
fNDs were detected at different stages during their cellular uptake
and intracellular trafficking highlighting that many cellular barriers
have to be crossed inside cells (Figure a). fND clusters appeared outside the cellular
membrane as well as in endosomal vesicles as detected by CLEM with
a high contrast by colocalization of LM and EM signals (Figure b). EM images of fND clusters
were obtained with the highest resolution reported yet, which even
allowed quantification of individual fNDs in the larger fND clusters
inside intracellular vesicles. Moreover, individual fNDs were detected
for the first time by EFTEM. In this way, the cellular uptake process
of a single fND inside a newly forming, early endosomal vesicle was
imaged (Figure d),
and the presence of single fNDs inside a mitochondrion (Figure c) was demonstrated. The localization
and quantification of fNDs inside mitochondria is of particular interest
because drug delivery into these organelles represents an emerging
strategy in cancer cell treatment.[46] Conventional
LM studies could not unambiguously differentiate whether nanoparticles
were taken up into mitochondria or if they only colocalized with their
outer membranes. Applying dark-field EFTEM, we were able to resolve
the presence of individual fNDs inside the mitochondrion, whereas
a larger fND cluster remained outside this organelle in close vicinity
to its outer membrane.
Figure 5
(a) Visualization of fNDs in different cellular environments.
(b) Identification and quantification of fNDs in intracellular vesicles
using CLEM. In addition, single fND detection was achieved by EFTEM
(c) inside a mitochondrion as well as (d) in the cellular membrane
during fND uptake.
(a) Visualization of fNDs in different cellular environments.
(b) Identification and quantification of fNDs in intracellular vesicles
using CLEM. In addition, single fND detection was achieved by EFTEM
(c) inside a mitochondrion as well as (d) in the cellular membrane
during fND uptake.We believe that our approach offers the
great potential to resolve fNDs within clusters as well as single
fNDs and to allow the quantification of their exact number and image
their locations within the various cellular compartments. In this
way, one could gain fundamental insights into intracellular transport
processes of fNDs and how these pathways are interconnected, which
provides great opportunities to ultimately correlate bioactivities
and potential toxic effects of nanomaterials based on quantitative
data. We believe that such studies will be of great relevance to obtain
reliable and reproducible information on nanotherapeutics that ultimately
facilitate rational design of efficient and safe drug transporter
and imaging probes.
Authors: Job Fermie; Leanne de Jager; Helen E Foster; Tineke Veenendaal; Cecilia de Heus; Suzanne van Dijk; Corlinda Ten Brink; Viola Oorschot; Lin Yang; Wei Li; Wally H Müller; Stuart Howes; Andrew P Carter; Friedrich Förster; George Posthuma; Hans C Gerritsen; Judith Klumperman; Nalan Liv Journal: Cell Rep Methods Date: 2022-05-16
Authors: Weina Liu; Md Noor A Alam; Yan Liu; Viatcheslav N Agafonov; Haoyuan Qi; Kaloian Koynov; Valery A Davydov; Rustem Uzbekov; Ute Kaiser; Theo Lasser; Fedor Jelezko; Anna Ermakova; Tanja Weil Journal: Nano Lett Date: 2022-03-15 Impact factor: 12.262
Authors: Sergey V Loginov; Job Fermie; Jantina Fokkema; Alexandra V Agronskaia; Cilia De Heus; Gerhard A Blab; Judith Klumperman; Hans C Gerritsen; Nalan Liv Journal: Front Cell Dev Biol Date: 2022-04-11
Authors: Yingke Wu; Shuqin Cao; Md Noor A Alam; Marco Raabe; Sandra Michel-Souzy; Zuyuan Wang; Manfred Wagner; Anna Ermakova; Jeroen J L M Cornelissen; Tanja Weil Journal: J Mater Chem B Date: 2021-07-21 Impact factor: 6.331