Adele Khavari1,2, Allen Joseph Ehrlicher2. 1. Applied Chemistry, Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, Sweden. 2. Department of Bioengineering, McGill University, Montreal, Canada.
Abstract
Measuring pressures within complex multi-cellular environments is critical for studying mechanobiology as these forces trigger diverse biological responses, however, these studies are difficult as a deeply embedded yet well-calibrated probe is required. In this manuscript, we use endogenous cell nuclei as pressure sensors by introducing a fluorescent protein localized to the nucleus and confocal microscopy to measure the individual nuclear volumes in 3D multi-cellular aggregates. We calibrate this measurement of nuclear volume to pressure by quantifying the nuclear volume change as a function of osmotic pressure in isolated 2D culture. Using this technique, we find that in multicellular structures, the nuclear compressive mechanical stresses are on the order of MPa, increase with cell number in the cluster, and that the distribution of stresses is homogenous in spherical cell clusters, but highly asymmetric in oblong clusters. This approach may facilitate quantitative mechanical measurements in complex and extended biological structures both in vitro and in vivo.
Measuring pressures within complex multi-cellular environments is critical for studying mechanobiology as these forces trigger diverse biological responses, however, these studies are difficult as a deeply embedded yet well-calibrated probe is required. In this manuscript, we use endogenous cell nuclei as pressure sensors by introducing a fluorescent protein localized to the nucleus and confocal microscopy to measure the individual nuclear volumes in 3D multi-cellular aggregates. We calibrate this measurement of nuclear volume to pressure by quantifying the nuclear volume change as a function of osmotic pressure in isolated 2D culture. Using this technique, we find that in multicellular structures, the nuclear compressive mechanical stresses are on the order of MPa, increase with cell number in the cluster, and that the distribution of stresses is homogenous in spherical cell clusters, but highly asymmetric in oblong clusters. This approach may facilitate quantitative mechanical measurements in complex and extended biological structures both in vitro and in vivo.
Cells are exposed to diverse forces in vivo, including compression,
tension, fluid shear. These stimuli are transduced into biochemical signals, which
in turn regulate cell mechanics and behavior. New mechanotransduction interactions
are being discovered, but some known mechanisms include elements that connect the
cell to its environment through focal adhesions[1, 2], the actin cytoskeleton which measures
crosslinker strain [3].
Measuring the cellular forces and mechanics that drive mechanotransduction
in vitro and in vivo is an integral part of
modern quantitative biology, and a broad variety of techniques to measure cell
forces and mechanics have been developed, particularly in the last two decades.
Traction Force Microscopy has emerged as an excellent measure of cellular
contractile forces in 2D [4,
5] and 3D [5], while AFM has been used to
measure aspects such as the protrusive forces [6] and local cortical mechanics of cells [7]. Additionally, magnetic
twisting cytometry has proven to be a rapid method to measure the cortical mechanics
of many cells simultaneously [8]. These techniques all share in common the approach of requiring
direct mechanical contact with the cell to perform the measurement; techniques to
measure distal components, such as the interior cytoplasmic moduli [9] and forces [10] of cells preclude the use
of methods such as AFM, and highlight the need for non-contact techniques such as
optical tweezers [11].
Moreover, these approaches have been mainly used for isolated cells in in
vitro systems, and are not readily applicable to more complex 3D
structures of multiple cells and complex mechanical structures. Recently an approach
has combined microrheology and optical tweezers to infer extracellular matrix
stiffening from cell contractility[12]. Other groups have used the deformation of fluid drops to measure
the local anisotropic stresses in vivo in tissues [13]. This fluid-drop approach
provides detailed information about the stresses between cells, but it does not
readily address isotropic or compressive forces, and requires the introduction of an
external force probe.Compressive stresses are of particular interest as they can lead to nuclear
deformation[14] As the
largest organelle and genetic control center of the cell, the nucleus is
particularly sensitive to external forces [15], which can change influence gene
expression[16-18]. Therefore, quantifying
local stresses on individual nuclei is a critical aspect of understanding
mechanotransduction. Recently researchers have introduced polyacrylamide particles
in attempts to measure compressive forces[19] and alginate spheres [20], and while these methods offer insight into
local compressive forces, they face challenges including requiring external
probes.An ideal probe for compressive stresses would be an endogenous, ubiquitous, uniform,
and dispersed collection of compliant spheres. Indeed, the nucleus itself presents a
large spheroid, with a generally constant size in normal mammalian cells, have very
similar sizes within a given population for many cells [21-23], and while cell nuclei are not perfectly
spherical they are typically singular, and have a constant volume throughout the
majority of the cell cycle[21]. These aspects make them appealing as potential targets for use as
endogenous sensors. Supporting this idea, in 2D environments, nuclei have been shown
to have a very predictable response to applied pressures.[16, 17, 24–27]; here, we build on this previous work and
extend the use of nuclei as endogenous pressure sensors to three-dimensions and
complex multi-cellular environments.
Material and methods
Cell culture
NIH3T3 Mus musculus, mouse (Passage 5–30) cells (ATCC) and M6
cells (C. Jorcyk, Boise State University) were grown in culture medium with 10%
FBS and 1% antibiotic (pen strep). M6 cells were transfected with Nuclear
Location Sequence tagged with Green Fluorescent Protein (BD Biosciences,
modified pEGF-C1 with NLS-GFP) using Lipofectamine 2000 (Invitrogen) following
Invitrogen’s protocol. After transfection, successfully transfected cells were
isolated by FACS (MoFlo XDP Cell Sorter), and growth of untransfected cells was
suppressed by adding a selective antibiotic (G418, Invitrogen) to the growth
medium. After three days of selection, the positively transfected cells were
grown in full medium. Before volume measurements, cells were trypsinized and
resuspended in the 3D sodium alginate gels, creating an environment with readily
tuned physiological moduli, capable of supporting cell growth and proliferation
for several weeks. As these cells proliferate, they form spheroid multi-cellular
aggregates (MCAs), a very simplified analog for complex tissue structures
(detailed MCAs growth described in [28]).For single cell volume measurements cells were trypsinized, washed, centrifuged
in full culture medium, and resuspended in full medium with different
concentration of polyethylene glycol (PEG1500, Sigma), cells were allowed to
equilibrate for 20 minutes at room temperature, then plated on a very thin layer
of agar gel on the glass bottom petri dishes to avoid adhesion. Nuclei in
single-cell pressure-volume calibration measurements were stained with DAPI
(Bisbenzimide—Sigma) and reconstructed from confocal images (Leica SP8) using
imageJ (imagej.com).
Microscopy, image processing, and image analysis
Single cell nuclei (stained with DAPI (Bisbenzimide—Sigma)) images, were acquired
using a 40x air with NA = 0.75 objective on an inverted confocal microscope (LSM
Zeiss 700 or Leica TCSSP8). Each individual cell nuclei was imaged precisely by
acquiring XYZ stacks with a 0.5 μm Z step and XY resolution of (72.73x72.73μm).
Cells were plated on a thin layer of agar gel to avoid adhesion during
imaging.Images of nuclei within MCAs were acquired using a 10x objective on an inverted
confocal microscope (Leica TCS SP5) with a 5μm Z step size. Using this larger
step size did not decrease our volume resolution (demonstrated in S2A Fig).
To visualize cell nuclei, we transfected cells with Nuclear Location Sequence
conjugated with Green Fluorescent Protein (BD Biosciences, modified pEGF-C1 with
NLS-GFP).Image analysis was carried out using ImageJ and the nuclei volumes were
calculated by counting voxel number after thresholding the stacks. Nuclei which
were not clearly separable in imaging were not considered for analysis.As objectives are designed to operate in a media of a specific refractive index,
the measured z distance is only accurate if the sample matches that expected
index. For non-immersion objectives, a refractive index of 1 is expected,
whereas cells have a refractive index of approximately 1.37 [29]. We thus correct the
measured z values by multiplying the measured z distance by the ratio of true to
expected refractive index, i.e. 1.37/1/. This correction was applied for all
volume measurements as appropriate for each objective. While we believe that
this correction may be neglected when considering relative volume changes using
the same objective and microscope, it is essential for determining the relative
deformation in X,Y, and Z, absolute volume changes, and when moving between
microscopy systems; neglecting it may result in erroneous measurements.The strains along minor and major axes for nuclei within the MCAs were calculated
by measuring the geometry and volume of those nuclei, and comparing them with
the undeformed nuclei in isolated single cells in the same alginate gel.
Calibration of nuclear volume -pressure
Osmotic pressure
Hyperosmotic pressure was applied to cells in suspension by adding PEG1500
(Sigma) to isotonic culture medium. The osmolality of different PEG
solutions was measured using a freezing point depression osmometer (Advanced
Instruments, 3320 Micro-Osmometer), and we then calculated the resulting
osmotic pressure (S1 Table). These empirical values are in
good agreement with those previously published [30, 31].We have employed osmotic pressure due to steric exclusion to create our
calibration curve for pressure-volume relationship [25]. It is known classically that the
nucleus is a porous, permeable membrane-enclosed organelle which allows free
movement of water, ions and small molecules through nuclear pore complexes
that control the large molecules transfer and act as a molecular sieve. When
a porous gel is exposed to an external solution of macromolecules higher
than that in the gel, the difference in concentration is quantified by the
partition coefficient[32], which leads to an osmotic gradient that draws water out of
the gel. This leads to a higher pressure on the gel when the concentration
of the macromolecule increases in the solution. Osmotically-induced volume
changes of the cell lead to higher intracellular macromolecule concentration
which compress the nucleus. Therefore, when we apply hyperosmotic solutions
to the cell, these forces are transferred to the nucleus. It is also shown
[33] that nuclear
compression under hyper osmotic conditions is proportional to intracellular
macromolecule concentration, increased molecular crowding within the
nucleus. This is similar for both isolated nuclear and the ones in the cell
in same osmotic condition, validating our pressure-volume calibration
curve.We have plotted the measured volume as a function of osmotic pressure applied
using PEG (Fig 1B). A
single power law regression curve is used to describe the pressure-volume
(PV) relationship[31]. This PV curve was subsequently used as a calibration of how
nuclei are compressed as a function of pressure allowing us to calculate the
local pressures in the MCAs based on the measured nuclear volumes. The
governing regression equation and the corresponding coefficients (with 95%
confidence bounds) for M6 and NIH3T3 cells are given below, where for M6 cell a = 1006 ±100 and b = -0.4441±-0.18; for
NIH3T3 cell a = 618.6 ± 60 and b = -0.3328±-0.11.
Fig 1
Cell nuclear volume decreases under increasing osmotic
pressure.
A) 2D cross sections of confocal microscopy images of EGFP-NLS in M6
nuclei in different PEG solutions corresponding to osmotic pressures
of 0.764, 0.920, 1.057, 1.756, 3.033, 4.977 MPa; scale bar is
5μm. B) the
dependence of nuclear volume on osmotic pressure as measured by
reconstructing confocal stacks of EGFP-NLS fluorescent nuclear for
different cell types with corrected z values. Error bars are
standard deviation. These measurements were done for between 20 and
40 cells for each data point.
Cell nuclear volume decreases under increasing osmotic
pressure.
A) 2D cross sections of confocal microscopy images of EGFP-NLS in M6
nuclei in different PEG solutions corresponding to osmotic pressures
of 0.764, 0.920, 1.057, 1.756, 3.033, 4.977 MPa; scale bar is
5μm. B) the
dependence of nuclear volume on osmotic pressure as measured by
reconstructing confocal stacks of EGFP-NLS fluorescent nuclear for
different cell types with corrected z values. Error bars are
standard deviation. These measurements were done for between 20 and
40 cells for each data point.
Results
Nuclei reversibly and predictably compress under hyperosmotic
pressure
Nuclear volumes were measured by direct microscope observation after exposing M6
(n = 35) or NIH3T3 (n = 40) cells to a wide range osmotic pressures via the
addition of 1500-Da PEG, as described in the Methods section. As reported
previously [16, 23], the nuclear volume
decreases with increasing external osmotic pressure, as shown in Fig 1A.The fitted curve (blue) in Fig
1B of the PV relationship for M6 cells
V(P) =
1006∙P−0.4441 allows us to calculate the
corresponding pressure for the measured nuclei volume in multicellular
aggregates (MCA) [33],
and depict the local pressure acting on nuclei distributed throughout the MCAs,
as shown in Fig 2. Previous
work has shown that osmotic stress deforms the cell and nucleus in the same
fashion as cytoskeletal contractility[31].
Fig 2
Individual cell nuclei are increasingly compressed as MCAs grow in
size.
Confocal microscopy images of EGFP-NLS fluorescence of individual nuclei
within spherical MCA MCAs with volumes of A) 140+/-10x103, D)
800+/-70 x 103, and G) 2100+/-100 x 103
μm3. Nuclei volumes in MCAs with volume of B)
140+/-10x103, E) 800+/-70 x 103, and H)
2100+/-100 x 103 μm3. C) corresponding pressure in
MCAs with volume of C) 140+/-10x103, F) 800+/-70 x
103, and I) 2100+/-100 x 103 μm3
relative to their position in the MCA.
Individual cell nuclei are increasingly compressed as MCAs grow in
size.
Confocal microscopy images of EGFP-NLS fluorescence of individual nuclei
within spherical MCA MCAs with volumes of A) 140+/-10x103, D)
800+/-70 x 103, and G) 2100+/-100 x 103
μm3. Nuclei volumes in MCAs with volume of B)
140+/-10x103, E) 800+/-70 x 103, and H)
2100+/-100 x 103 μm3. C) corresponding pressure in
MCAs with volume of C) 140+/-10x103, F) 800+/-70 x
103, and I) 2100+/-100 x 103 μm3
relative to their position in the MCA.We also find no lasting effects on cells after prolonged exposure to investigated
osmotic pressures; after 38 hours of exposure to varying concentrations of PEG,
all nuclei recovered to previous control volumes (see S1B Fig),
as reported previously[16]. Moreover, the compressibility of nuclei does not change after
prolonged exposure to compression; after culturing cells for 21 days under 0.92
MPa, and immediately measuring their PV curve, we found no difference from the
PV curve of cells cultured under isotonic conditions.
Nuclei are more compressed as MCAs grow in size
Nuclei transfected M6 cells were encapsulated in alginate gels and imaged over
the course of three weeks, with cell colonies forming multicellular aggregates
(MCAs). The volume of nuclei within MCAs of different sizes were imaged with XYZ
stacks employing a 5 μm Z step. Number and volume of nuclei depends on the MCA
size, where smaller MCAs are composed of cells with larger nuclei. As MCAs grown
is size, the average volume of individual nuclei decreases (Fig 3A). Three MCAs with volumes of 140+/-10
x103, 800+/-70 x 103, and 2100+/-100 x 103
μm3 are shown in Fig
2A and 2D, and G respectively, and the corresponding nuclei volume
and number of nuclei are presented in Fig 2B, 2E and 2H; the volume of the nuclei
in biggest MCA is around half of the nuclei volume in smallest MCA. The
corresponding pressure of the nuclei in each MCA also shows that nuclei in
larger MCAs are bearing higher pressures (Figs 2C and 3A).
Fig 3
A) Nuclei are more compressed as MCAs grow in size. Nuclear
volume as a function of MCA volume in spherical MCAs. The number of
nuclei range from 20 to 90 in each MCA; Plotted values are mean volumes,
with error bars depicting standard deviation. Each data point represents
the total data from 2 to 4 MCAs. As the MCAs grow in size, the average
nuclear size decreases with a commensurate increase in average pressure.
B) Nuclei in elliptical MCAs are less compressed along the MCA
major axis, as compared to the minor axis, or that in spherical
MCAs. changes in elliptical multicellular aggregate from the
center towards the edges of the MCAs. This figure presents the volume of
the nuclei as a function of position in the MCA; volume of the nuclei in
the: spherical (red stars) MCAs, elliptical MCAs from the center along
the major axis (blue circles), elliptical MCAs from the center along the
minor axis (black squares). Data are taken from one elliptical and one
spherical (both 2100+/-100 x 103 μm3 volume) MCA,
and represent mean and standard deviation.
A) Nuclei are more compressed as MCAs grow in size. Nuclear
volume as a function of MCA volume in spherical MCAs. The number of
nuclei range from 20 to 90 in each MCA; Plotted values are mean volumes,
with error bars depicting standard deviation. Each data point represents
the total data from 2 to 4 MCAs. As the MCAs grow in size, the average
nuclear size decreases with a commensurate increase in average pressure.
B) Nuclei in elliptical MCAs are less compressed along the MCA
major axis, as compared to the minor axis, or that in spherical
MCAs. changes in elliptical multicellular aggregate from the
center towards the edges of the MCAs. This figure presents the volume of
the nuclei as a function of position in the MCA; volume of the nuclei in
the: spherical (red stars) MCAs, elliptical MCAs from the center along
the major axis (blue circles), elliptical MCAs from the center along the
minor axis (black squares). Data are taken from one elliptical and one
spherical (both 2100+/-100 x 103 μm3 volume) MCA,
and represent mean and standard deviation.
The pressure distribution appears spatially uniform in spherical MCAs
As the MCAs grow, they compress their microenvironment; these forces also
compress the MCAs, the individual cells, and their organelles as well. We
precisely imaged a spherical MCA with the volume of 2100+/-100 x 103
μm3 (Fig 4A)
in different z-plane and measured the volume of the nuclei within the MCA, which
is shown in Fig 4B. The
nuclei volumes vary between 595–700 μm3 which shows quite a narrow
size distribution, and they are uniformly spatially distributed in the MCA. The
corresponding pressure for each nucleus calculated based on volume-pressure
relationship in Fig 1B shows
around 1 MPa difference all over the MCA, however, it is not strongly position
dependent, as shown in Fig
4C. We also measured the deformation of nuclei in the direction major
and minor axes, which shows nuclei are more compressed in the major axes shown
in Fig 4E and 4F. This
suggests that the pressure is rather evenly distributed in the investigated MCAs
when they have spherical morphologies.
Fig 4
Cell nuclei in spherical multicellular aggregates display stress with
no clear relation to their spatial position.
A) EGFP-NLS fluorescence image of individual nuclei within a spherical
MCA, B) Confocal microscopy determined nuclear volumes, C) Calculated
pressures of individual nuclei in the MCA, D) aspect ratios of
individual compressed nuclei, E) strain in the direction of minor axis
of each nucleus, F) nuclear strains in the direction of each nucleus’s
major axis. Comparing strains in panels E & F reveals the anisotropy
of compression in spherical MCAs.
Cell nuclei in spherical multicellular aggregates display stress with
no clear relation to their spatial position.
A) EGFP-NLS fluorescence image of individual nuclei within a spherical
MCA, B) Confocal microscopy determined nuclear volumes, C) Calculated
pressures of individual nuclei in the MCA, D) aspect ratios of
individual compressed nuclei, E) strain in the direction of minor axis
of each nucleus, F) nuclear strains in the direction of each nucleus’s
major axis. Comparing strains in panels E & F reveals the anisotropy
of compression in spherical MCAs.
Nuclei experience higher pressure along the minor axis of elliptical
MCAs
In stiffer alginate environments, MCAs tends to grow elliptically
(asymmetrically)[28].
We observed that the nuclei remarkably differ in size and shape in elliptical
MCA, as shown in Fig 5B and
5D, as a function of position in the MCA, and their shape tends to
reflect the overall MCA geometry. Nuclei oriented along the minor axis sides are
more elongated and have smaller volumes while those in the center are larger
Fig 3B and
morphologically closer to spheres. Fig 5C shows that the pressure is also higher at the minor axis and
decreases towards the center of the MCA. These measurements are consistent with
previous findings which also observed that the local external stress field is
higher at the minor axis side of the elliptical MCAs using embedded tracer
particles in the gel [34].
Fig 5
Cell nuclei are compressed more in elliptical multicellular aggregate
in the direction of the minor axis of the MCA.
A) EGFP-NLS fluorescence image of individual nuclei within an elliptical
MCA. B) Confocal microscopy determined nuclear volumes throughout the
MCA, C) Calculated pressures of individual nuclei in the MCA, D) aspect
ratios of individual compressed nuclei, E) nuclear strains in the
direction of minor axis of each nucleus, F) nuclear strains in the
direction of major axis of the nuclei. Comparing strains in panels E
& F reveals the anisotropy of compression in elliptical MCAs.
Cell nuclei are compressed more in elliptical multicellular aggregate
in the direction of the minor axis of the MCA.
A) EGFP-NLS fluorescence image of individual nuclei within an elliptical
MCA. B) Confocal microscopy determined nuclear volumes throughout the
MCA, C) Calculated pressures of individual nuclei in the MCA, D) aspect
ratios of individual compressed nuclei, E) nuclear strains in the
direction of minor axis of each nucleus, F) nuclear strains in the
direction of major axis of the nuclei. Comparing strains in panels E
& F reveals the anisotropy of compression in elliptical MCAs.
Discussion and conclusion
Here we have shown that nuclei volumes imaged with confocal microscopy may be used as
pressure sensors within multicellular aggregates, enabling previously inaccessible
regions of multicellular structures or tissues to be measured without the
introduction of an exogenous mechanical probe.We have shown that using PEG we can apply a precise osmotic pressure to produce a
reversible and predictable compression of the nucleus. Osmotic pressures from PEG
were verified through direct measurement and found to be consistent with literature
values. We employed osmotic pressure to measure the pressure-volume (PV) curve of
nuclei in isolated cells, where cells are not under compression from neighbors or
from substrate-based contraction. The measurement of bulk moduli for cells from
osmotic compression is an established technique. It is important to note that unlike
physiological salts, there are no pumps for PEG, it does not pass through the
membrane, and cells are unable to adapt osmotically; thus, using osmotic stress from
a salt-based source would be inaccurate, however, PEG-based osmotic stress is
accurate in calculating bulk moduli.We evaluated the validity of this approach by applying prolonged various pressures to
cells, and quantifying their mechanical responses. This demonstrates that these
nuclei do not mechanically adapt to these pressures, validating their use as
calibrated pressure probes. While these data demonstrate that this approach is
robust for measuring these cells and employing them as pressure sensors, this may
not always be the case; during early development, differentiation, and disease
progression nuclear mechanics may be variable as cells change expression of proteins
such as lamins [35-38]. Other conditions such as
biochemical, nutrient, or oxygen deprivation may influence bulk moduli. Such
mechanical variability of nuclei could hinder or invalidate this methodology.Having established and validated these PV curves, we then calculate the equivalent
total pressure in the multi-cellular aggregate from the confocal microscopy measured
volumes.Our study reveals that these compressive stresses acting on nuclei are in the MPa
range, which appears quite large when considering the typical stress regimes of kPa
that are reported for cell stresses. A key difference here is the application of
compression rather than shear, as bulk moduli [31](~MPa) are 3–4 orders of magnitude larger
than shear moduli (~kPa) both for cells, and for inert microgels [39]. This is due to much larger
forces being required to compress hydrogels and expel water, than to shear and
deform them with no change in volume. As bulk moduli are so large, even small
changes in volume represent large compressive stresses on the order of MPa.The pressures measured here are the sums of all forces compressing the nuclei; these
include compressive-stresses, as well as any osmotic pressures from diffusive
gradients. We are unable to differentiate between these; as such, we report these as
cumulative pressures contributing to nuclear compression. Nevertheless, previous
work has shown that compression stresses applied to cells such as through
contractility and osmotic pressures applied through diffusive factors such as PEG
provoke identical physical and biochemical responses from cells, suggesting that
total pressure is a metric mechanosensed by the cell and that compression from any
source was sufficient to regulate stem cell differentiation[31]. This highlights the importance of this
type of data. To our knowledge, these data represent the first measurements of
intracellular compressive forces. Given the importance of nuclear compression in
determining cell function and fate, we believe it is of value to the community.Using these nuclear sensors, we find that stresses compressing nuclei are extremely
cell cluster size dependent. Nuclei are more compressed in larger MCAs, suggesting
that cell density and MCA volume affect nuclei deformation and compression. As cells
proliferate and MCAs grow, the cells compress each other and their microenvironment;
higher numbers of cells apply larger stress in the larger MCAs, therefore cells are
more deformed and compressed. Our observation is consistent with the work of Nia et
al. where they observed an increased tumor size leads to elevated compressive stress
[40].The nuclear stresses are also dependent on MCA geometry, with spherical cell clusters
displaying very uniform stresses of approximately 3 MPa throughout the cluster. In
stark contrast, elliptical MCAs have highly non-uniform nuclear
stress-distributions, with nuclei along the outer major axis bearing roughly twice
the pressure (5–6 MPa) of cells in the interior, or at the distal tips of the MCA.
Previous work has shown that the MCAs tend to grow in the regions of lower
stress[28, 41], suggesting that the lower
pressure at the curvature than the sides may be a reason for MCAs to grow
elliptically. The nuclei along the sides of the MCAs are deformed in the minor axes
much more than the major axis, again mirroring the overall MCA shape.Differential pressures such as these may play a key role in mechanically regulating
cell growth and proliferation in a variety of contexts from development to
pathology, as nuclear deformation leads to changes in genes expression and cell
function [42], making the
nucleus a central mechanosensor for the cell [43]. We hope that this simple technique will
enable future work to examine not only how growth changes these pressures, but how
these pressures regulate multi-cellular structure and mechanotransduction.
Applied Osmotic pressure on suspended cells plated on thin agar gel
(1).
Different PEG concentration w/v% in culture media (column 1), create varying
osmotic pressure (column2). The osmotic pressure in column 2 corresponds to
each PEG concentration based on the literature [1]. The osmolality of different PEG
concentration (column 3) was measured by a freezing point depression
osmometer, and their corresponding calculated osmotic pressures (column 4)
is consistent with values previously reported in the literature. Columns
5&7 are the nuclear volumes for M6 and NIH3T3 cells under different PEG
concentration, and columns 6 & 8 are their respective corresponding bulk
moduli.(TIFF)Click here for additional data file.
Osmotic compression does not permanently impact nuclear size.
A) Volume of the nuclei measured after culturing cells under an osmotic
pressure of 0.920 MPa for 21 days, without osmotic recovery, immediately
exposed them to higher pressures. Nuclei that have been exposed to higher
pressures show similar volumes as control. B) Volume of nuclei measured
after 38 hours under each given pressure, and then 18 hours of recovery. The
pressure of 0.764 MPa corresponds to isotonic media (control). Nuclei that
have been exposed to higher pressures and then allowed to recover exhibit
the same volume as control, indicating that no permanent size alterations
have occurred during osmotic compression.(TIFF)Click here for additional data file.
Volume measurement accuracy is not significantly influenced by increased
z-step size.
A) Volumes measured with z-step sizes of 1μm or 5μm as a function of volume
measured with 0.5μm step size. A line of x = y is added as a visual guide.
B) Ratio of measured nuclear volumes as a function of volume and z-step
size, illustrating no significant loss in precision of volume measurements
using a 5 μm step size. Here we plot the nuclear volume measured with a 1μm
step (V1) divided by the volume measured with a 5μm z-step (V5), as a
function of the “precise” volume measured with a 0.5μm step. The volumetric
ratio is approximately 1 (ranging from 0.98 to 1.06, average = 0.02 +/- 0.06
error, single cells are presented here). This quantification demonstrates
that the volumetric measurements in z using a 5 micron step are
accurate.(TIFF)Click here for additional data file.
The pressure distribution appears spatially random in spherical
MCAs.
A) fluorescence image of nuclei in spherical MCAs, B) their measured volume,
and C) their calculated pressure, of the nuclei relative to their position
in the MCA in a 3D projection. As the MCA size increases in the fluorescence
images shown in panel A, the nuclei volumes decrease in the plots in panel
B, however no spatial pattern of volumes is visible, nor is there a clear
pattern in the distribution of pressures in panel C. These data suggest that
the volumes and pressures throughout spherical MCAs are similar, and that
there is not a gradient from center to edge.The perspectives in B) and C) are rotated to give a better visualisation of
the 3D reconstruction of each MCA, and spatial dimensions are given in
microns.(TIFF)Click here for additional data file.
The pressure distribution appears to increase at the periphery of
elliptical MCAs.
A) fluorescence image of nuclei in elliptical MCAs, B) their measured volume,
and C) their calculated pressure, of the nuclei relative to their position
in the MCA in a 3D projection. As the MCA size increases in the fluorescence
images shown in panel A, the nuclei volumes decrease in the plots in panel
B, and they appear more compressed near the edges of the elliptical MCAs.
Their calculated pressures thus also suggested that nuclei at the periphery
of the MCAs are under higher stresses, as shown in panel C. These data
suggest that the volumes and pressures throughout spherical MCAs are
different, with a gradient of increasing stress from center to edge.(TIFF)Click here for additional data file.
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