Bone remodeling relies on the coordinated functioning of osteoblasts, bone-forming cells, and osteoclasts, bone-resorbing cells. The effects of specific chemical and physical bone features on the osteoclast adhesive apparatus, the sealing zone ring, and their relation to resorption functionality are still not well-understood. We designed and implemented a correlative imaging method that enables monitoring of the same area of bone surface by time-lapse light microscopy, electron microscopy, and atomic force microscopy before, during, and after exposure to osteoclasts. We show that sealing zone rings preferentially develop around surface protrusions, with lateral dimensions of several micrometers, and ∼1 μm height. Direct overlay of sealing zone rings onto resorption pits on the bone surface shows that the rings adapt to pit morphology. The correlative procedure presented here is noninvasive and performed under ambient conditions, without the need for sample labeling. It can potentially be applied to study various aspects of cell-matrix interactions.
Bone remodeling relies on the coordinated functioning of osteoblasts, bone-forming cells, and osteoclasts, bone-resorbing cells. The effects of specific chemical and physical bone features on the osteoclast adhesive apparatus, the sealing zone ring, and their relation to resorption functionality are still not well-understood. We designed and implemented a correlative imaging method that enables monitoring of the same area of bone surface by time-lapse light microscopy, electron microscopy, and atomic force microscopy before, during, and after exposure to osteoclasts. We show that sealing zone rings preferentially develop around surface protrusions, with lateral dimensions of several micrometers, and ∼1 μm height. Direct overlay of sealing zone rings onto resorption pits on the bone surface shows that the rings adapt to pit morphology. The correlative procedure presented here is noninvasive and performed under ambient conditions, without the need for sample labeling. It can potentially be applied to study various aspects of cell-matrix interactions.
Entities:
Keywords:
AFM; CLEM; airSEM; bone; osteoclasts; resorption; sealing zone dynamics
The adaptation of bone tissue to the physical,
chemical, and biological
stimuli to which it is continuously exposed occurs through the coordinated
activity of bone-forming cells, the osteoblasts, and bone-resorbing
cells, the osteoclasts. Bone is thus incessantly renovated and remodeled.
Loss of balance between bone resorption and deposition can lead to
impaired bone strength and flexibility, as well as to the malfunction
of other related tissues.[1] This complex
remodeling process is extremely sensitive to the local environment
in which cells are operating.[2−7] Communication between osteoclasts and osteoblasts, as well as with
other cells such as osteocytes, regulates the remodeling process.
Regulation occurs at several levels, involving osteoclastogenesis,
stimulated by osteocyte signaling, in specific areas of damage,[8−10] and coordinated osteoblast deposition of new bone matrix within
exposed resorption lacunas.[11−13] As a result of these activities,
cortical bone displays a hierarchical, multiscale complexity:[14] at the submicron scale, mineralized collagen
fibrils are arranged as 3–5 μm thick lamellae that, at
a higher hierarchical level, fold around haversian canals in an osteonal
structure.[15]The primary adhesion
units in osteoclasts are podosomes, actin-based
structures composed of proteins similar to those found in focal adhesions.[16] Podosomes display a distinct architecture, consisting
of a central core of tightly packed actin filaments oriented perpendicular
to the ventral membrane, surrounded by a membrane-bound adhesion plaque
comprising integrins and adhesion proteins.[17−22] In differentiated osteoclasts, individual podosomes assemble to
form sealing zone (SZ) rings, delimiting the area into which protons
and proteases are secreted to digest the underlying matrix. The resorptive
function of osteoclasts was shown to depend on their adhesion to the
bone surface through the SZ[17,23] and to correlate with
substrate degradation and uptake.[19,24−26] However, the direct connection between osteoclast SZ dynamics and
resorption has yet to be unraveled.The SZ superstructure is
highly sensitive to extracellular matrix
(ECM) parameters and differs among osteoclasts adhering to different
surfaces. In particular, the effect of surface topography on SZ formation
and development has been studied on artificial substrates such as
calcite, titanium, or nacre.[27−30] SZ structures were shown to adapt to the three-dimensional
architecture of the surface, within a range of micrometers to tens
of micrometers.[27,29] In bone implants, surface nano
and micro roughness was shown to affect cell attachment and differentiation
into osteoblasts.[30,31]Local surface chemistry
also affects SZ development and osteoclast
resorption, as osteoclasts favor adhesion to mineral[32−34] and resorb it faster than the organic components of bone.[35,36] Noncollagenous proteins, which are bound to bone mineral and released
during resorption,[37,38] regulate both bone resorption
and deposition processes.The size, stability, and dynamics
of SZ rings are also surface-dependent:
on glass surfaces, incomplete, highly unstable rings form at the cell
periphery. On calcite, rings tend to fuse and form a stable peripheral
ring, with a lifespan of several hours. On bone, in contrast, small
and stable SZ rings with lifespans of several hours form at specific
locations underneath the cell body. The question then arises: Why
do stable rings form at specific locations, rather than in neighboring
areas underneath the same cell? Several factors may contribute to
this phenomenon, including local differences in bone surface chemistry,
topography, and organic content.[39] A second
issue of interest concerns the connection between surface modification
by osteoclasts and the characteristics of the specific SZ ring juxtaposed
onto it.To address these, and potentially many other related
questions,
we seeded differentiated osteoclasts on bone surfaces and examined
the dependence of osteoclast adhesion, dynamics, and resorption activity
on local bone surface features. For this purpose, the tracking of
individual SZ rings from the initial adhesion of the osteoclast to
the bone surface must be undertaken within the context of local bone
characterization. This requires the development of a fully correlative
method, enabling precise observation of both the bone and the attached
cells during interaction. The main difficulty consists in achieving
simultaneous imaging of dynamic subcellular processes and surface
morphology, at adequate spatial and temporal resolution. Furthermore,
the bone samples must be kept wet throughout the different stages
of the experiments, because water is an essential component of bone,
and its removal causes irreversible modification of bone structure
and chemistry.In the past, correlative imaging was achieved
using elegant combinations
of different techniques, providing information that could not be obtained
with any individual technique.[40−44] These correlative techniques were not applicable in our case, since
we needed an accurate overlay of very different images: the actin
rings formed in the cells, and the opaque bone surface, which displays
no obvious structural surface motifs at the same order of magnitude
as the SZ.We therefore developed a procedure combining high-resolution
scanning
electron microscopy (SEM) and atomic force microscopy (AFM), conventionally
used to characterize bone morphology and resorption[45−50] with fluorescence live imaging of SZ rings in cells.[18,27] We then applied this technique to image bone-resorbing osteoclasts
at different stages of their adhesion to cortical bone surfaces.
Materials
and Methods
Correlative Microscopy Workflow
Step 1 (Scheme ): Fresh bone slices were prepared
and placed inside a specially
designed holder (Step 2). Step 3: The entire surface was imaged with
the airSEM. Step 4: GFP-actin-tagged RAW 264.7 cells were transferred
from the differentiation Petri dish to the bone surface. Step 5: Time-lapse
fluorescence movies of SZ dynamics in real time were taken with a
Delta Vision inverted microscope. Step 6: Cells were fixed, and the
bone sample was transferred to the airSEM. Here, the samples were
first imaged under the fluorescence microscope, to enable their correlation
with the optical images from the Delta Vision, and then with the electron
microscope, at exactly the same locations. Step 7: Cells were removed,
and the bone surface was imaged in the electron microscope, again
at exactly the same bone locations. Step 8: The bone samples, still
inside the holders, could then be taken either to the environmental
SEM (ESEM) or the AFM, to further characterize specific locations
of interest. Finally, the individual images were stitched, overlaid,
and correlated individually by hand, exploiting, for the purposes
of alignment, bone surface features visible in all images, though
taken at different steps. A detailed description of each step follows.
Scheme 1
Correlative Microscopy
Workflow
Step 1: Preparation of Bone Surfaces for Correlative Microscopy
Fresh (less than 1 d post-mortem), young (less than one year-old)
cattle femur was obtained from a local butcher shop (Moo&Moo,
Rehovot, Israel). To prevent cumulative damage to the bone surface,
all the correlative procedures prior to cell removal were completed
within one week post-mortem.Thin (3 × 3 × 2 mm) slices
showing osteonal arrangement of the mineralized collagen bundles were
cut from the femur mid area (between the anterior and posterior sides,
see scheme), using a low-speed diamond saw (South Bay Technology,
Inc., San Clemente, CA, USA).
Step 2: Design of the Correlative
Bone Holder
A stainless
steel 316 (SS316) holder was specifically designed to correlate between
electron and optical microscopes (Instrument designer: Pasmantirer
Benjamin; Manufacturer: Scientific Instrumentation, Research Services
Division, Weizmann Institute of Science, Israel). Bone specimens are
washed briefly with ethanol 70% for sterilization and placed inside
the holder, where they are held in place by a lever, with an applied
force calculated to prevent movement during the different stages of
the experiments, and avoid deformation of the bone. The bone specimen
is immersed in a pool of cell culture medium, to prevent dehydration.
Bone specimens remain in the holder throughout the experimental cycle,
with no change in location.
Step 3: Imaging the Initial Bone Sample Prior
to Cell Plating
Bone specimens were imaged by means of an
airSEM (B-Nano, Ltd.,
Rehovot, Israel) imaging station, consisting of an SEM capable of
producing images up to a resolution of 50 nm in air under ambient
conditions, without the need to pretreat the sample. The bone was
maintained constantly hydrated during imaging, with medium provided
from the holder pool. The bone surface was mapped by sequential images
with a 480 μm field of view (FOV) and overlap of 50 μm,
using automated stage coordination. All stage movements were computer-controlled.
The detected signal consisted of backscattered electrons; beam energy
was 30 kV, and probe current was 500 pA.
Step 4: Tissue Culture,
Differentiation, and Cell Transfer to
Bone
RAW 264.7 cells stably expressing GFP-actin[51] were obtained from the American Type Culture
Collection (ATCC; Manassas, VA, USA), cultured in DMEM with Earl’s
salts, 1% l-glutamine, and NaHCO3 and supplemented
with fetal bovine serum (FBS; 10%; Gibco, Grand Island, NY, USA) and
antibiotics (1% pen-strep; Biological Industries, Beit Haemek, Israel).
For osteoclast differentiation, RAW cells were cultured on plastic
dishes (100 cells/mm2) in α-MEM with Earle’s
salts, l-glutamine, and NaHCO3 (Sigma, Rehovot, Israel),
supplemented with FBS and antibiotics, 20 ng mL–1 recombinant soluble receptor activator of NFkB ligand, and 20 ng
mL–1 macrophage colony-stimulating factor (R&D
Systems) at 37 °C in a 5% CO2 humidified atmosphere
for 60 h. Differentiation medium was changed every 24 h. Once differentiated,
cells were removed with ethylenediaminetetraacetic acid (10 mM) for
10 min, centrifuged, resuspended in differentiation medium, and transferred
to the bone surface. Prior to cell plating, bone surfaces were conditioned
with vitronectin (10 μg/mL) for 10 h at 4 °C, then washed
three times with culture medium, and heated to 37 °C.
Step 5:
Live Fluorescence Microscopy
For time-lapse
movies, differentiated osteoclasts that had been transferred to the
bone surfaces were allowed to adhere for 1 h. The holder containing
bone with suspended cells and culture medium was placed inside a specially
designed cup (SS316) with slots in its upper section, enabling the
transfer of CO2 to the cells. The cup was covered with
a standard Petri dish cover and placed in a humidified atmosphere
(37 °C at 5% CO2). After 1 h, the holder was placed
upside-down on a MatTek glass-bottomed dish (No. P35G-0–20-C,
MatTek Corp., Ashland, MA, USA). Time-lapse images were acquired with
an automated inverted microscope (DeltaVision Elite system IX71 with
Resolve3D software modulus; Applied Precision, Inc., GE Healthcare,
Issaquah, WA, USA) using a 20×/0.85 oil objective (Olympus, Tokyo,
Japan). The microscope is equipped with an environmental box kept
at 37 °C with a 5% CO2 humidified atmosphere. Images
were acquired every 1 min or every 30 s, for up to 6 h. Following
time-lapse imaging, cells were fixed and stained for actin and nuclei.
For fixed-sample imaging, samples were collected at chosen time periods
(3, 6, 24, and 48 h) post-transfer to the bone surface, permeabilized
with 0.5% Triton X-100 (Fluka-Chemie AG, Switzerland), and fixed in
warm 3% paraformaldehyde (Merck, Darmstadt, Germany). Postfixation,
specimens were washed three times with PBS and stained for actin (FITC-phalloidin,
Sigma) and nuclei (Hoechst 33342 Life Technologies, Thermo Fisher
Scientific Corp., Carlsbad, CA, USA). The entire bone surface, including
the stained cells, was imaged with the Delta Vision RT microscope
(Applied Precision), using a 20×/0.85 oil lens. Images with a
FOV 330.24 × 330.24 μm were stitched using Adobe Photoshop
software and aligned to the SEM images. Image analysis was performed
using ImageJ software.[52]
Step 6: Imaging
Bone Specimens Post Cell Interaction
Fixed and stained cells
on the bone specimens were imaged with the
epifluorescence setup connected to the airSEM, at locations near the
bone edges; these images were then compared with images from the DeltaVision
optical microscope to achieve image correlation. Bright-light and
epifluorescence images were obtained using the imaging station of
the upright airSEM microscope, equipped with 5× (MPLNX/0.1) and
40× (MPLNX/0.75) air objectives and standard filter cubes, DAPI
[Ex′: BP330–385; Em ′:BA420], and Cy3 [Ex′
BP530–550; Em′ 575–625] for epifluorescence.[53] The sample was then shuttled under the electron
microscope, and SEM images of the bone surface with osteoclasts still
attached were taken at the same locations imaged by the optical microscope.
Step 7: Imaging Bone, Post Cell Removal
For cell removal,
a droplet of sodium hypochlorite (NaOCl 6%; Bio-Lab, Ltd., Jerusalem,
Israel) was gently applied to the bone surface and was washed after
15 min with doubly distilled water × 3. The water was removed,
and the bone was gently dried with a nitrogen stream. The entire procedure
was performed with the bone in the holder on the stage of the airSEM
imaging station. In this manner, the coordinates of images prior to
and following cell removal could be correlated. The entire bone surface
was imaged in this manner.Energy dispersive X-ray spectroscopy
(EDX) composition analysis was also performed on the bone samples.
The airSEM system is equipped with an EDX detector (Quantax, Xflash
630, Bruker, Germany), enabling analysis of local material composition
and elemental mapping of the different sample constituents (Figure S1).
Step 8: Environmental SEM
Imaging
For higher resolution,
and comparison of the back scattered electrons (BSE) signal to the
secondary electrons (SE) signal, the bone specimen, after cell removal
and still inside the holder, was taken to the ESEM (XL 30 ESEM-FEG
Philips/FEI), where certain areas of interest were imaged at 20 kV,
under vacuum conditions (0.7 Torr). The location of specific areas
of interest in the bone surface was determined by triangulation between
the positions relative to the holder edges and by comparison to the
airSEM images. Both backscattered and secondary electron images were
taken and compared.
Step 9: Atomic Force Microscopy
A JPK NanoWizard 3
(JPK Instruments, Berlin, Germany) equipped with an upright optical
microscope (Axiozoom v16, Carl Zeiss Microscopy GmbH, München,
Germany) was used to image bone surfaces prior to or following cell
interaction. Pyramidal silicon nitride triangular cantilevers (DNP;
Bruker Corporation, Camarillo, CA), with a nominal stiffness of 0.12
N/m and a nominal radius of 20 nm, were used. Prior to cell transfer,
the bone surface was imaged in liquid (cell cultivation medium) in
contact mode, set point = 2 V, line rate = 0.7 Hz, and I Gain = 100
Hz. Images with a scan size of 100 μm each were taken in adjacent
locations and viewed in the overview window using the JPK image processing
software. Height profiles (from the original height image, subjected
to plane fitting to remove sample tilt) and three-dimensional (3D)
images were taken using WsXM software.[54] Following cell removal, the bone surface was imaged in air, in contact
mode. The bone sample was kept in the holder, which was placed inside
a Petri dish appropriately adapted to enable upright imaging of the
surfaces, without limiting cantilever movement. Parameters: Set point
= 0.6 V; line rate = 0.7 Hz; and I Gain = 130 Hz. Height profiles
and 3D images were computed using WsXM software.
Image Correlation
The orientation of the holder was
kept constant in all microscopes. The stage movements and relative
distances between areas of interest were performed via computer-controlled
stages, which minimized the possibility of error (see Step 3). Stitching of the individual images was performed
manually, using Adobe Photoshop CS4 software, after equalizing brightness
and contrast levels and overlaying common surface features. Accurate
correlation of the images was achieved by overlaying them according
to anchor points on the bone surface, such as microcracks or mineral
aggregates, osteocyte lacunae, and bone edges, visible in the images
acquired by the different techniques. These features are directly
visible in the SEM images and were made visible in the fluorescence
images by taking additional frames with increased exposure in selected
anchor locations or by increasing the brightness after acquisition.
Correlation of SEM images (upright configuration) with optical images
(inverted configuration) required further image mirroring. Correlation
between airSEM and the ESEM BSE images was straightforward, due to
similarities in the surface signals. For the same reason, AFM surface
images could be correlated with surface features imaged by the SEM,
after tilt and magnification corrections.
Results
The Design of a Microscopy Setup, Enabling Use
of the Correlative Light-Electron Microscopy (CLEM) Approach
To image the same bone surface area with different techniques, images
must be successfully overlaid at accuracy better than 1 μm.
In addition, the bone samples must be kept wet throughout the different
stages of the experiment to avoid modification of bone structure and
chemistry. To meet these requirements, we designed a specialized holder,
in which a fresh cut bone slice is securely positioned throughout
the entire process, with no external modifications.Conventional
SEM is performed under vacuum and thus requires drying of the specimens,
a process incompatible with the later, live-cell imaging stage. The
airSEM imaging station is based on a new SEM technology that operates
in air under ambient conditions, providing sample imaging and elemental
analyses. A translation stage connects the SEM to an optical microscope,
providing fully correlated SEM and bright light or fluorescence images.[55] Data acquired on wet bone surfaces in this configuration
using the optical microscope with resolution of up to 0.5 μm
can thus be related to surface features imaged in the airSEM at the
same resolution. In turn, the epifluorescence correlates with the
higher resolution static and dynamic images from the Delta Vision
system (resolution of up to 200 nm), and the airSEM correlates with
images taken with higher resolution ESEM techniques after cell removal
and specimen drying (up to 100 nm), or with the AFM (with lateral
resolution up to 50 nm, and height resolution up to 5 nm under the
present working conditions). At the end of the experiment, dried samples
can be observed with high-resolution SEM (up to 5 nm resolution, S2).The flowchart of the operations is described in detail in Materials and Methods section and in Scheme . Briefly, bone samples
were imaged with the airSEM, prior to cell plating. Once cells were
plated, SZ dynamic behavior was tracked by live time-lapse fluorescence
microscopy. Samples were then fixed and returned to the airSEM, where
they were imaged at selected areas of interest by fluorescence and
electron microscopy, both prior to and following cell removal. Finally,
ESEM and/or AFM were used to image resorbed areas at high resolution.
Adaptation of Sealing Zone Structures to Bone
Surface Topography
AFM in contact mode under liquid (osteoclast
buffer) was performed on longitudinal sections of fresh cattle femur
osteonal bone (see Step 1 in Materials and Methods and Scheme ). Longitudinal
sections were chosen because they expose surface areas that correspond
to the direction of load and to the main direction of osteoclast resorption,
forming haversian canals mostly parallel to the axes of the long bones.[56−58]A typical AFM image of a saw-cut bone surface displays multiple
topographies (Figure A,B), among which we focus on three characteristic features within
the relevant range: repeating pattern of ridges due to the saw markings
have characteristic widths = 15.5 ± 1.0 μm (N = 21) and heights of 0.9 ± 0.1 μm; the distance between
ridges is 3.5 ± 0.3 μm (N = 19); background
small protrusions are present everywhere, their widths ranging ∼1
μm, and heights ranging between 0.1 and 0.6 μm (Figure A,C blue line). Larger
bulges with widths ranging between 5 and 20 μm and heights ranging
from 1 to 2 μm are more sparsely distributed over the surface
(Figure A,D black
line)
Figure 1
Bone surface following sawing and prior to cell transfer, imaged
with an AFM. (A) Stitched images of a representative bone surface
area, demonstrating the variety of topographies present on the surface.
Within the boxed area, the blue line represents the location of the
height profile in (C) taken in correspondence to a region of background
topography, whereas the black line represents the location of the
height profile in (D) correspondence to a region with a representative
bulge on the surface. Scale = 20 μm. (B) 3D representation of
the boxed area in (A), demonstrating the height differences on the
surface. Blue arrows point to the edges of the background profile
in (C), and black arrows point to the edges of the bulge line profile
in (D). (C) Line profile taken from the original height image in the
location of the blue line in the boxed area in Panel (A). (inset)
The magnified area from the 3D representation in Panel (B). Grooves
delimiting ridges due to saw markings are marked by blue arrows. The
ridges have width of 15.5 ± 1.0 μm and height of 0.9 ±
0.1 μm. At a smaller scale, protrusions are emerging all over
the surface (blue arrowhead), and have typical width of 1 μm
and heights within a range of 0.1–0.6 μm. (D) Line profile
taken from the original height image in the location of the black
line in the boxed area in Panel (A). (inset) The magnified area from
the 3D representation in Panel (B). A representative bulge on the
surface (black arrow) has width of 7.5 μm and height of 1.6
μm.
Bone surface following sawing and prior to cell transfer, imaged
with an AFM. (A) Stitched images of a representative bone surface
area, demonstrating the variety of topographies present on the surface.
Within the boxed area, the blue line represents the location of the
height profile in (C) taken in correspondence to a region of background
topography, whereas the black line represents the location of the
height profile in (D) correspondence to a region with a representative
bulge on the surface. Scale = 20 μm. (B) 3D representation of
the boxed area in (A), demonstrating the height differences on the
surface. Blue arrows point to the edges of the background profile
in (C), and black arrows point to the edges of the bulge line profile
in (D). (C) Line profile taken from the original height image in the
location of the blue line in the boxed area in Panel (A). (inset)
The magnified area from the 3D representation in Panel (B). Grooves
delimiting ridges due to saw markings are marked by blue arrows. The
ridges have width of 15.5 ± 1.0 μm and height of 0.9 ±
0.1 μm. At a smaller scale, protrusions are emerging all over
the surface (blue arrowhead), and have typical width of 1 μm
and heights within a range of 0.1–0.6 μm. (D) Line profile
taken from the original height image in the location of the black
line in the boxed area in Panel (A). (inset) The magnified area from
the 3D representation in Panel (B). A representative bulge on the
surface (black arrow) has width of 7.5 μm and height of 1.6
μm.SEM images of the bone surface
were taken with a 3 × 3 mm
FOV (the entire specimen surface), to track and compare multiple adhesion
events in different areas. We chose to monitor osteoclasts fixed 3
h post-transfer to the bone surface, because they do not have sufficient
time to substantially alter the surface, although SZ rings are formed
within an hour of cell plating (Supporting Information, Figure S3). Figure shows a fluorescence image (A, A′, and A″)
of the same location on the bone surface as imaged by the airSEM prior
to cell plating (B, B′, and B″). The same ridge markings
and bulges that were measured by AFM are clearly identifiable in the
SEM images. Large structural elements (possibly part of a canal exposed
during sawing), osteocyte lacunas, and small cracks emerge at various
locations on the surface. Out of this topographic variety, the majority
of SZ rings that were observed in connection to surface features are
formed around bulges that match the more sparse and more protruding
bulges observed by AFM (Figure C,C′,C″)
Figure 2
SZ rings in correlation
to bone surface features. (A) Stitched
fluorescence image of GFP-actin, showing SZ rings 3 h postosteoclast
transfer to the bone surface. The three SZ rings in boxed areas are
magnified in (A′, A″). (B) The corresponding airSEM
image of the bone surface. Saw markings decorate the surface; in the
upper part of the image, an exposed canal emerges from the surface
(red arrow); microcracks can be seen in different locations. (C) Overlay
correlating the fluorescence to the SEM images, showing the adaptation
of SZ rings to the bone surface. (A′, B′, C′)
Magnification of the area in the upper rectangle: Two SZ rings formed,
surrounding small bulges present on the bone surface. White arrows
denote ring locations, and the cell borders are marked by dashed white
lines; the red arrow denotes an osteocyte lacuna nearby. (A″,
B″, C″) Magnification of the area in the lower rectangle:
An SZ ring formed (A″, white arrow), surrounding a small bulge
on the surface (B″, white arrow). The cell border is marked
by a dashed white line. Scale bars: A = 50 μm; A′ = 20 μm; A′′
= 10 μm.
AFM imaging of the bone surface
post cell removal shows that such
SZ rings adapt in shape and size to surface geometry (Figure A,B). The height of the bulge
delimited by the ring in Figure C is 1.3 μm, falling within the range characteristic
of the sparser bulges measured in Figure .
Figure 3
SZ rings imaged with
a fluorescence microscope correlated with
3D topographic AFM images of bone surface taken after cell removal.
(A, left) Fluorescence. (A, right) AFM 3D representation. (A, middle)
Overlay. SZ ring with a diameter of 8 μm adapting to the bone
surface topography. (B, left) Fluorescence. (B, right) AFM 3D representation.
(B, middle) Overlay. Elongated SZ ring, with a 13 μm diameter
in the long axis, surrounds a protrusion on the bone surface. (C)
AFM height image of the bone area from which 3D images were produced
(boxed areas). Asterisks note deep depressions on the surface. Line
profiles represent surface topography beneath the SZ rings shown in
(A, blue) and (B, red); the differences in surface peak height beneath
SZ rings are 0.7 μm (A, blue line) and 1.3 μm (B, red
line).
Osteoclasts that were allowed to
adhere to the bone surface for
24 h (Figure ) have
sufficient time to migrate on the bone surface, giving them the possibility
to search for selective features and answer to specific signals. The
formation of SZ rings around surface bulges was a predominant phenomenon
also at this time point, as observed at shorter time points. Likewise,
we rarely, if at all, observed SZ rings in proximity to osteocyte
lacunae, saw markings, or surface cracks.
Figure 4
SZ rings in osteoclasts plated on bone surface
for 24 h. (A) Fluorescence
image of SZ ring (green) in cell fixed 24 h post transfer to the bone
surface. (inset) Overlay of actin (green) and nuclei (blue). Scale:
50 μm. (B) airSEM image of the same bone area following cell
removal. (C) Overlay of the ring image with the SEM image of the surface.
For clarity, cell body area is demarcated with a red line. Notice
that although the cell covers a larger area, the ring forms around
an 18 μm bulge on the surface, adapting to its shape. (inset)
A comparison of the surface bulge before and after osteoclast interaction
with the surface, demonstrating that the bulge was not altered by
the cell.
The average size of
the bulges around which SZs were observed at
both time points (3 or 24 h) is 7.5 ± 1.2 μm (N = 20). This size well matches the size of the sparsely distributed
larger bulges measured by AFM (Figure ). Sealing zones were not observed around any of the
smaller but much more frequent background protrusions.SZ rings in correlation
to bone surface features. (A) Stitched
fluorescence image of GFP-actin, showing SZ rings 3 h postosteoclast
transfer to the bone surface. The three SZ rings in boxed areas are
magnified in (A′, A″). (B) The corresponding airSEM
image of the bone surface. Saw markings decorate the surface; in the
upper part of the image, an exposed canal emerges from the surface
(red arrow); microcracks can be seen in different locations. (C) Overlay
correlating the fluorescence to the SEM images, showing the adaptation
of SZ rings to the bone surface. (A′, B′, C′)
Magnification of the area in the upper rectangle: Two SZ rings formed,
surrounding small bulges present on the bone surface. White arrows
denote ring locations, and the cell borders are marked by dashed white
lines; the red arrow denotes an osteocyte lacuna nearby. (A″,
B″, C″) Magnification of the area in the lower rectangle:
An SZ ring formed (A″, white arrow), surrounding a small bulge
on the surface (B″, white arrow). The cell border is marked
by a dashed white line. Scale bars: A = 50 μm; A′ = 20 μm; A′′
= 10 μm.SZ rings imaged with
a fluorescence microscope correlated with
3D topographic AFM images of bone surface taken after cell removal.
(A, left) Fluorescence. (A, right) AFM 3D representation. (A, middle)
Overlay. SZ ring with a diameter of 8 μm adapting to the bone
surface topography. (B, left) Fluorescence. (B, right) AFM 3D representation.
(B, middle) Overlay. Elongated SZ ring, with a 13 μm diameter
in the long axis, surrounds a protrusion on the bone surface. (C)
AFM height image of the bone area from which 3D images were produced
(boxed areas). Asterisks note deep depressions on the surface. Line
profiles represent surface topography beneath the SZ rings shown in
(A, blue) and (B, red); the differences in surface peak height beneath
SZ rings are 0.7 μm (A, blue line) and 1.3 μm (B, red
line).SZ rings in osteoclasts plated on bone surface
for 24 h. (A) Fluorescence
image of SZ ring (green) in cell fixed 24 h post transfer to the bone
surface. (inset) Overlay of actin (green) and nuclei (blue). Scale:
50 μm. (B) airSEM image of the same bone area following cell
removal. (C) Overlay of the ring image with the SEM image of the surface.
For clarity, cell body area is demarcated with a red line. Notice
that although the cell covers a larger area, the ring forms around
an 18 μm bulge on the surface, adapting to its shape. (inset)
A comparison of the surface bulge before and after osteoclast interaction
with the surface, demonstrating that the bulge was not altered by
the cell.We note that in fixed samples,
no information is preserved on dynamic
processes that ended prior to fixation. Therefore, short-lived SZ
rings may have transiently formed in different locations and then
dissolved or translocated.
Effect of Bone Surface Topography
on the Dynamics
of SZ Rings
To obtain information connecting the first steps
in osteoclast adhesion through SZ formation and ring lifespan to bone
surface structure and its modification, we tracked live cells on bone
surfaces, utilizing live time-lapse fluorescence imaging of GFP-actin.
Images were taken at 1 min intervals or less, to enable tracking of
the fine dynamic cycles of SZ rings. SEM imaging of bone surfaces
was performed prior to cell plating. Dynamic live imaging began 1
h post cell transfer to bone, enabling tracking of the complete history
of rings at certain locations, and terminated after maximum of 6 h,
to limit the chances for sequential ring formation at the same location.
These time periods allow connecting between specific surface features
and their degree of modification to a specific SZ ring with known
characteristics.A comparison of neighboring rings under the
same stationary cell shows differences in their dynamic behavior (Figure ): small dynamic
rings repeatedly appeared and faded in the same location with a periodicity
of several minutes, whereas a stable ring located in close proximity
maintained its size throughout the entire movie. An area with more
complex ring dynamics showed fusion and fission of rings, with variations
in signal intensity along the ring perimeter, suggesting different
actin concentrations (for the complete dynamics, see Supporting Information, Movie). Toward the end of the time-lapse
movie, the rings began to translocate, and the movie was stopped.
Figure 5
Relating
ring dynamics to bone surface features. (A) The first
time point from a time-lapse fluorescence movie; frames were taken
at 1 min intervals; overall monitoring time was ∼6 h. The small
ring denoted by a red arrow is highly dynamic: with an overall lifespan
of a few minutes, sequential rings form and disappear at different
time points at the same location. The ring denoted by a yellow arrow
persists throughout the monitored period. The ring denoted by a blue
arrow undergoes cycles of fission and fusion during the imaging period.
(B) airSEM image of the corresponding surface prior to cell plating.
(inset) An overlay of the rings at the beginning of the movie. Notice
the bulge around which the stable ring (yellow arrow) is formed. (C)
Individual frames from the time-lapse movie, demonstrating differences
in dynamic behavior of the rings. (D) Toward the end of the time-lapse
movie (time point = 345 min): the dynamic ring (red arrow) fades,
whereas the stable ring (yellow arrow) is still visible. (E) airSEM
image of the bone surface after movie termination, with the fixed
osteoclast cell still present (appearing as a shadow on the surface).
(inset) An overlay of ring and surface images, at the end of the movie.
Notice that the lower, stable part of the large ring (blue arrow)
leans on the surface curvature, adapting to its shape. A comparison
between (B) and (D) shows that the bulge beneath the stable SZ ring
(yellow arrow) is altered. In addition, microcracks that are hardly
visible at the beginning of the movie are more visible at the end.
Scale = 50 μm.
Relating
ring dynamics to bone surface features. (A) The first
time point from a time-lapse fluorescence movie; frames were taken
at 1 min intervals; overall monitoring time was ∼6 h. The small
ring denoted by a red arrow is highly dynamic: with an overall lifespan
of a few minutes, sequential rings form and disappear at different
time points at the same location. The ring denoted by a yellow arrow
persists throughout the monitored period. The ring denoted by a blue
arrow undergoes cycles of fission and fusion during the imaging period.
(B) airSEM image of the corresponding surface prior to cell plating.
(inset) An overlay of the rings at the beginning of the movie. Notice
the bulge around which the stable ring (yellow arrow) is formed. (C)
Individual frames from the time-lapse movie, demonstrating differences
in dynamic behavior of the rings. (D) Toward the end of the time-lapse
movie (time point = 345 min): the dynamic ring (red arrow) fades,
whereas the stable ring (yellow arrow) is still visible. (E) airSEM
image of the bone surface after movie termination, with the fixed
osteoclast cell still present (appearing as a shadow on the surface).
(inset) An overlay of ring and surface images, at the end of the movie.
Notice that the lower, stable part of the large ring (blue arrow)
leans on the surface curvature, adapting to its shape. A comparison
between (B) and (D) shows that the bulge beneath the stable SZ ring
(yellow arrow) is altered. In addition, microcracks that are hardly
visible at the beginning of the movie are more visible at the end.
Scale = 50 μm.Correlations between fluorescence and SEM images of the bone
surface
prior to cell plating (Figure B) show that the stable ring was formed around a surface bulge
with diameter of 5.9 μm, whereas the more dynamic rings were
formed on topographic edges. Comparison to the same area imaged by
SEM post cellular interaction, with the cell still attached (fixed
as is, with no NaOCl application; Figure E) shows that the area beneath the stable
ring was altered, most likely by the cell itself. Several cracks on
the bone surface, which were partially covered by organic material
at the beginning of the movie, became more visible at the end of the
movie, possibly because the bone partially dehydrated, following cell
fixation. After cell removal with NaOCl, the surface area of interest,
with the altered bulge, remained the same, and the cracks became wider
(Supporting Information Figure S4).In agreement with the observation made on fixed cells, the dynamics
observed here support the notion that not only rings are preferentially
formed around bulges of a certain size, but are also stabilized by
them. This stabilization may eventually favor resorption.
Correlation between the Sealing Zone and Local
Resorption of Bone Surface
By means of the correlative method,
we could directly connect resorption pits on bone surface to SZ rings.
For imaging the general morphology of the large pits operating the
airSEM at medium magnification was sufficient (Figure ). To image more subtle surface modifications,
a conventional SEM with high resolution is more suitable, as it can
reveal resorption in greater detail of the surface, following cell
removal and sample dehydration (Supporting Information Figure S5).
Figure 6
Osteoclast resorption of bone surface and its relation to SZ rings.
(A) Overlay of rings in osteoclasts, fixed 24 h post-transfer to bone,
with the bone surface after cell removal, showing that the rings form
above resorption pits matching in size and shape. One pit (arrow)
appears to be unrelated to any SZ. (B) The bone surface following
cell removal [shown overlaid with rings in (A)], displaying the exposed
resorption pits. (C) The same bone surface prior to cell transfer,
decorated by saw markings. Comparison of (B) and (C) shows that the
pits, which correlate with SZ ring location, were not present prior
to osteoclast interaction with bone. (D) Overlay of SZ rings in a
cell fixed 48 h post-transfer to bone (green) overlaid with images
of the bone surface, following cell removal. (E) Resorption pits,
seen after cell removal. The pits correlate to the SZ rings in (D).
(F) airSEM image of the surface with the osteoclast still present,
creating a shadow on the surface. The NaOCl treatment to remove the
cells [compare (E) and (F)] causes some widening of cracks that were
present before but otherwise does not modify the bone surface.
Osteoclasts cultured for 24 h on bone developed
SZ rings that correlated well with the characteristic resorption pits
(Figure A), matching
their diameter (31 μm) and shape. The pits did not exist prior
to cell interaction with the bone (compare Figure B to Figure C). Similar SZ rings and resorption pits can be seen
after cells were cultured on bone for 48 h (Figure D,E). The pits can also be seen through the
cell body, prior to cell removal (Figure F). Our preliminary analyses indicated that
24 h after initial cell plating, a 3 × 3 mm area of bone surface
contained tens of cells; each developed multiple rings of various
sizes. However, none of the SZ rings with smaller diameters that that
are formed around surface bulges were seen in the vicinity of resorption
pits.Correlations between resorption pits and SZs were not
observed
for cells that adhered to the surface for 6 h or less. However, in
contrast to cells plated for that amount of time, for which specific
SZ rings could be directly correlated with the underlying surface
features, over a period of 24 h or more, the cells could migrate on
the bone surface, and the dynamic SZ rings could expand, fuse, or
translocate. As a consequence, at both 24 and 48 h time points, some
of the pits correlate with SZ ring size and shape, whereas other pits
are seen in the vicinity of the rings but do not directly correlate
with them.Osteoclast resorption of bone surface and its relation to SZ rings.
(A) Overlay of rings in osteoclasts, fixed 24 h post-transfer to bone,
with the bone surface after cell removal, showing that the rings form
above resorption pits matching in size and shape. One pit (arrow)
appears to be unrelated to any SZ. (B) The bone surface following
cell removal [shown overlaid with rings in (A)], displaying the exposed
resorption pits. (C) The same bone surface prior to cell transfer,
decorated by saw markings. Comparison of (B) and (C) shows that the
pits, which correlate with SZ ring location, were not present prior
to osteoclast interaction with bone. (D) Overlay of SZ rings in a
cell fixed 48 h post-transfer to bone (green) overlaid with images
of the bone surface, following cell removal. (E) Resorption pits,
seen after cell removal. The pits correlate to the SZ rings in (D).
(F) airSEM image of the surface with the osteoclast still present,
creating a shadow on the surface. The NaOCl treatment to remove the
cells [compare (E) and (F)] causes some widening of cracks that were
present before but otherwise does not modify the bone surface.
Discussion
Here,
we presented the design, implementation, and power of a fully
correlative imaging method that combines live monitoring of cell dynamics
with high-resolution imaging of the substrate. Our goal here was to
draw connections between subcellular osteoclast structures (mostly,
the SZ), their response to specific surface features when adhering
to it, and their function in modifying the underlying surface.In general, the interaction of cells with the underlying matrix
can be studied with various approaches that enable the simultaneous
tracking of cellular dynamics and surface changes: well-known examples
include surface micropatterning,[59] surface
and cell labeling,[60] and the use of different
imaging modes.[61] In this study, we developed
a new method involving light microscopy, SEM, and AFM that enabled
us to overlay images of cell dynamics on bone, a natural substrate
whose complex and heterogeneous morphology requires imaging techniques
that can resolve local characteristics at the submicron level.The need to maintain the substrate in as close to physiological
conditions as possible required imaging under ambient conditions,
avoiding bone drying or manipulation of any kind. Two main tools were
crucial to our successful solution: the correlative holder made it
possible to keep the bone surface hydrated and in place throughout
the experimental sequence, and the airSEM imaging station served to
bridge between live dynamic tracking of cells and electron imaging,
producing SEM images, and enabling elemental analysis under ambient
conditions, without damaging the bone surface.The combination
of AFM and SEM provides information on the physical
and structural characteristics of bone at sufficient spatial resolution.
To further understand the role of other potentially relevant parameters,
such as local surface composition, or the presence of specific proteins,
observations with complementary correlative imaging techniques (e.g.,
immunofluorescence labeling of the matrix) can be performed.The in vitro approach that we developed entailed use of cortical
bone slices. The differences between these substrates and the living
tissue that cortical osteoclasts encounter in vivo are manifold: mainly,
signaling is not mediated by osteocytes and other cells, and the topography
is artificially created. However, even within those limits, the devitalized
bone surfaces preserve the basic bone structure, enabling us to study
the effects of relevant structural features on osteoclast adhesion
and resorption.In our preliminary study of osteoclast adhesion
to the bone surface,
overlaying images of SZ rings with images of the bone surface, both
prior to and following cell interactions with the surface, demonstrated
a clear correlation between surface features and SZ rings, the latter
adapting the feature’s size and shape. The diameter of SZ rings
formed, starting from the early stages of osteoclast adhesion, surrounding
bulges on the bone surface was 7.5 μm in average (Figure ). The measured height of such
bulge, associated with the formation of small SZ rings was 1.3 μm
(Figure ). The observed
preference of SZ rings to form around features that are comparable
in their dimensions to several podosomes, suggests that these dimensions
stabilize the SZ rings; this stabilization may result in longer ring
lifetimes (Figure ) and eventually in resorption. The observation that resorption pits
were developed only at longer times (from 24 h post cell transfer)
and were seen only in relation to larger SZ rings (diameter of 31
μm; see Figure ) can point to the correlated development of SZ and resorption functionality
of osteoclasts with time and needs to be further confirmed. At the
micrometer scale, the mechanism underlying SZ stabilization and adaptation
to the surface topography can be further examined by dynamically tracking
SZ progression with live fluorescence imaging (step 5 in Scheme ), and comparing
it to local surface topography before and after cell interaction (steps
3 and 8 in Scheme , respectively). In contrast to the bulges, SZ rings did not preferentially
associate with physiologically relevant structures displaying negative
topography, such as osteocyte lacunas and microcracks. A similar phenomenon
was also observed on dentin slices.[62] It
is, however, possible that during cell interactions, structures with
negative topography were filled with organic material, masking their
interaction with the SZ rings.The correlative imaging method
that we developed is flexible, and
it can be adapted to combine various imaging modalities and analysis
tools (some of which were already put in practice in this work) to
address a variety of different questions that require correlative
approach in the field of cell sensing and related modification of
the ECM. It is possible to apply it on different substrates relevant
to cellular adhesion and function; specifically, in the field of bone
implants the evaluation of the proposed implant design requires SEM
imaging for compositional and topographic characterization,[31,63] indentation to examine the mechanical properties,[64,65] and imaging of fixed adherent cells[29] to evaluate cellular response and the chances of successful osseointegration.[66] Our developed strategy can provide a useful
means for the combined assessment of these features. The compositional,
structural, mechanical, and topographic properties of the implant
of interest can be visualized before, after, and in relation to osteoblast
or osteoclast dynamic response. This may include adhesion, migration,
and remodeling functionalities. Subsequent to the analysis, the surfaces
could then be modified at the micrometer level, eventually providing
better design of the implant.
Summary and Conclusions
We designed,
constructed, and applied here a correlative, noninvasive
technique for the parallel acquisition of live dynamic observations
and high-resolution surface characterization in biological environments.
In relation to osteoclast function, SZ rings imaged with live cell
microscopy could be directly correlated to the local properties of
the underlying bone surface and its modification. Rapid imaging in
ambient conditions further enabled us to scan areas of several square
millimeters, on which many cells can be simultaneously tracked. The
ability developed here to connect changes in surface properties to
specific cellular and subcellular dynamics can be conceivably applied
to study a variety of relevant questions in the field of cell–matrix
interaction.
Authors: Benjamin G Kopek; Gleb Shtengel; C Shan Xu; David A Clayton; Harald F Hess Journal: Proc Natl Acad Sci U S A Date: 2012-04-02 Impact factor: 11.205
Authors: Marco Marchisio; Maristella Di Carmine; Rita Pagone; Adriano Piattelli; Sebastiano Miscia Journal: J Biomed Mater Res B Appl Biomater Date: 2005-11 Impact factor: 3.368
Authors: Wanda Kukulski; Martin Schorb; Sonja Welsch; Andrea Picco; Marko Kaksonen; John A G Briggs Journal: J Cell Biol Date: 2011-01-03 Impact factor: 10.539
Authors: Harry C Blair; Beatrice B Yaroslavskiy; Lisa J Robinson; Markus Y Mapara; Alessandra Pangrazio; Lida Guo; Ka Chen; Paolo Vezzoni; Jakub Tolar; Paul J Orchard Journal: Lab Invest Date: 2009-06-22 Impact factor: 5.662
Authors: Jingxiao Zhong; Junning Chen; Richard Weinkamer; M Ali Darendeliler; Michael V Swain; Andrian Sue; Keke Zheng; Qing Li Journal: J R Soc Interface Date: 2019-05-31 Impact factor: 4.118
Authors: Meenakshi A Chellaiah; Megan C Moorer; Sunipa Majumdar; Hanan Aljohani; Sharon C Morley; Vanessa Yingling; Joseph P Stains Journal: Bone Res Date: 2020-01-22 Impact factor: 13.567
Authors: Johannes Wischmann; Florian Lenze; Antonia Thiel; Sakina Bookbinder; William Querido; Oxana Schmidt; Rainer Burgkart; Rüdiger von Eisenhart-Rothe; Günther H S Richter; Nancy Pleshko; Philipp Mayer-Kuckuk Journal: Exp Cell Res Date: 2018-09-05 Impact factor: 3.905
Authors: Meenakshi A Chellaiah; Megan C Moorer; Sunipa Majumdar; Hanan Aljohani; Sharon C Morley; Vanessa Yingling; Joseph P Stains Journal: Bone Res Date: 2020-01-22 Impact factor: 13.567
Authors: Gemma Claire Porter; Dina Abdelmoneim; Kai Chun Li; Warwick John Duncan; Dawn Elizabeth Coates Journal: Materials (Basel) Date: 2022-03-29 Impact factor: 3.623