bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
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Collagen stiffness modulates MDA-MB231 cell
metabolism through adhesion-mediated contractility
Emma J. Maha, Gabrielle E. McGaheyb, Albert F. Yeea,b, and Michelle A.
Digmana,b,c*
a
Department of Chemical Engineering and Materials Science, University of California,
Irvine, Irvine, California, USA
b Department of Biomedical Engineering, University of California, Irvine, Irvine, California,
USA
c Laboratory for Fluorescence Dynamics
*Correspondence should be sent to mdigman@uci.edu
Abstract Figure: Increasing collagen stiffness causes a shift in highly invasive MDAMB231 cancer cells from glycolysis to oxidative phosphorylation. Glioma U251MG cells
show an opposite trend and MCF10A non-tumorigenic cells have little change in
metabolism signatures in response to substrates stiffness.
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Summary
Extracellular matrix (ECM) mechanical properties play a key role in cancer cell
aggressiveness. Increasing substrate stiffness upregulates cancer invasion, cell
contractility and focal adhesion formation. In addition to matrix properties, alteration in
energy metabolism is a known characteristic of cancer cells (i.e., Warburg effect) and
modulates cell invasion. However, there has been little evidence to show that substrate
stiffness is able to affect cancer cell metabolism. Thus, we investigated changes in energy
metabolism in response to varying collagen matrix stiffness in different cancer cells, MDAMB231, AA375MM and U251MG and non- tumorigenic breast cell line MCF10A. Using
the phasor approach to fluorescent lifetime imaging microscopy (FLIM), we measured the
lifetime ratio of the free:bound state of NADH and determined if these cells altered their
metabolism when plated on varying ECM density. This approach is a powerful tool that
allows us to map the metabolic trajectory of each living cell within its cellular
compartments. In our studies, we found that MDA-MB231 cells had an increase in bound
NADH, indicating oxidative phosphorylation (OXPHOS), as collagen substrate density
decreased. When inhibiting myosin-II contractility with Y-27632 or blebbistatin, the MDAMB231 cells on glass shifted from glycolysis (GLY) to OXPHOS, confirming the intricate
relationship between mechanosensing and metabolism in these highly invasive tumor
cells. The human glioblastoma cell line, U251MG, showed an opposite trend compared
to the invasive MDA-MB231 cells. However, the human melanoma cell line, A375MM did
not show any significant changes in metabolic indices when they were grown on surfaces
with varying collagen density but changed when grown on glass surfaces. MCF10A cells
showed no changes in metabolism across all surfaces. In addition, OXPHOS or GLY
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inhibitors to MDA-MB231 cells showed dramatic shifts from OXPHOS to GLY or vice
versa. There were slight changes detected in MCF10A cells. These results provide an
important link between cellular metabolism, contractility and ECM stiffness in human
breast cancer.
Introduction
Cancer cells can modulate their energy metabolism to meet nutritional,
biosnynthesis and respiration requirements for maintaining malignancy. One of these
factors is the metabolic state of the cancer cell due to their tendency to undergo aerobic
glycolysis, known as the Warburg Effect (Vander Heiden et al., 2009; Liberti and Locasale,
2016; Warburg et al., 1927). Although it produces less ATP per molecule of glucose,
glycolysis (GLY) is a more rapid way of producing ATP and is able to meet the high
demands of energy to fuel processes such as invasion, migration, and matrix degradation
(Caino et al., 2015; Cunniff et al., 2016; Desai et al., 2013; Zhao et al., 2013). Along with
high turnover of ATP production, a byproduct of lactic acid and high acidification also has
been shown to benefit cancer cell survival and upregulate invasiveness (Estrella et al.,
2013).
Mechanical properties of the extracellular matrix (ECM) is also a known factor that
regulates cell migration and cancer invasion (Alexander et al., 2008; Artym et al., 2015;
Paszek et al., 2005; Seewaldt, 2014; Wells, 2008). Cells interact with the surrounding
ECM through integrin-mediated adhesions and focal adhesions (FAs), that are clusters
of over 150 proteins (Kanchanawong et al., 2010; Liu et al., 2015). These complexes
tether to the cell’s mechanosensing network through actin filaments and regulate
processes such as adhesion, migration, and proliferation (Bugyi and Carlier, 2010; Gardel
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et al., 2010; Hirata et al., 2014; Ponti et al., 2004). Recent studies have shown that
integrin-mediated adhesion interact with the metabolic pathway of the cell through the
PI3K/AKT/mTOR pathway and that this could be a potential method of switching the
Warburg effect (Ata and Antonescu, 2017; Levental et al., 2009; Yang et al., 2015). Many
of these studies use biochemical assays which are invasive and often lose information
which exist in live cell samples. In our approach, we used a non-invasive fluorescent
imaging technique to measure ECM density, study live cell behavior and map energy
metabolism within each cell.
Fluorescent lifetime imaging microscopy (FLIM) has been shown to be a powerful
technique to measure metabolic indices of live-cells (Bird et al., 2005; Cinco et al., 2016;
Datta et al., 2015; Ma et al., 2016; Provenzano et al., 2009; Sameni et al., 2016; Stringari
et al., 2012). By looking at the fluorescent lifetime of nicotinamide adenine dinucleotide
(NADH), a metabolite involved in OXPHOS and GLY, we can determine the population
of free and bound NADH due to their difference in lifetime decay. This will allow us to
quantify the “metabolic trajectory”, known as the “M trajectory”, of the cell at every pixel
of our image and determine if the cell is undergoing OXPHOS or GLY (Stringari et al.,
2012). The advantage of this imaging technique is that it is non-invasive and is able to
image real-time changes in metabolism.
For this study, we measured free and bound populations of NADH within different
cancer cell lines and a non-tumorigenic cell line when seeded on collagen substrates of
different concentrations (1.2 mg/mL and 3.0 mg/mL) and on glass. The microstructural
properties of this substrate, including collagen density and fiber diameter, were measured
using image correlation spectroscopy (Raub et al., 2008). The 3.0 mg/mL and 1.2 mg/mL
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collagen substrate had collagen fibers of similar size, but the 3.0 mg/mL collagen
substrate gave rise to a denser ECM than the 1.0 mg/mL substrate by 3X. The 3.0 mg/mL
collagen substrate was also determined by rheology to be one order of magnitude stiffer
than the 1.2 mg/mL collagen substrate. The highly metastatic breast cancer cell line MDAMB21 showed a shift towards a more glycolytic signature as substrate stiffness increased.
Inhibition of cell contractility with addition of Y-27632 shifted all the cells on all substrates
to a more OXPHOS signature compared to their uninhibited controls. In addition, we
observed more stable focal adhesions on our stiffer substrates through raster image
correlation analysis by measuring the diffusion of talin-GFP, focal adhesion protein which
binds to integrin and the actin cytoskeleton structure. This further shows that integrin
mediated adhesions behave as mechanosensors and these adhesions can alter
metabolism.
Non-tumorigenic breast cell line MCF10A showed no significant changes in NADH
free:bound ratio across all surfaces, indicating that this property only appears in MDAMB231 cell lines. Other cancer cell types, U251MG glioma and A375MM melanoma cell
lines, were evaluated under the same conditions. The U251MG cells had an opposite
trend of NADH free:bound ratio signatures across the substrates compared to MDAMB231 cells. A375MM cells did not adhere well to the collagen substrates which caused
them to have no significant difference in their NADH free:bound ratio; which indicates that
the mechanosensing network must be established in order to undergo metabolic
reprogramming. Inhibition of OXPHOS or GLY in MDA-MB231 cells showed shifts in
NADH free:bound ratio with respect to each treatment towards their metabolic
counterparts across all surfaces, and further confirmed that it is indeed the metabolism
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that is being altered by the ECM. MCF10A cells showed a shift when OXPHOS was
inhibited only on our denser collagen and on glass substrates when GLY was inhibited.
The results found in our work here show that both the mechanosensing and metabolism
pathways are interconnected and can be modulated through ECM mechanical properties.
This will provide further information to develop cancer therapies which target either or
both of these pathways to decrease cancer cell invasion.
Results
Collagen characterization measurements
Tilghman et al. postulated that cellular metabolism can be altered when MDAMB231 cells are cultured on soft (300 Pa) versus stiff (19200 Pa) matrices due to the fact
that cells stayed in the G1 phase cell cycle phase longer (Tilghman et al., 2012). Indeed,
their results using cell lysates with ATPlite assay and protein synthesis assays confirmed
their hypothesis. The substrates used in those experiments were limited to
polyacrylamide gels that have a large rigidity/flexibility range, but it is not physiological. In
our approach, we used collagen monolayers prepared at two different concentrations of
1.2 mg/mL and 3.0 mg/mL Second harmonic generation (SHG) images were taken to
measure the fiber thickness, and density was measured using image correlation
spectroscopy (ICS). Previously in our lab, we have shown that mechanical properties of
collagen obtained through SHG and ICS correlated to those obtained by rheology or
scanning electron microscopy images (Chiu et al., 2013; Raub et al., 2008). For this
analysis, the ωo value gives the waist of the auto correlation function and based on the
size of the point spread function of the laser (~0.3 µm at the waist). A larger ωo indicates
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thicker fibers. 1/G(0) quantified the density of the matrix which is the height of the auto
correlation function extrapolated from the first measured point. A smaller 1/G(0) value
corresponds to denser matrices. 3.0 mg/mL and 1.2 mg/mL collagen substrates showed
similar average values of ωo of 2.55 and 2.29 (Figure 1C). However, the 3.0 mg/mL
collagen has a significantly larger average value of 1/G(0) of 5.54 compared to that of the
1.2 mg/mL collagen at 1.09 (Figure 1D). This confirms that the 3.0 mg/mL collagen
substrates have a denser network of collagen although their fiber thicknesses are similar.
Rheology measurements were also done to quantify the modulus of the substrates. 3.0
mg/mL and 1.2 mg/mL collagen substrates were measured and have averages of 38.12
Pa and 5.66 Pa, respectively (Figure 1B).
Figure 1: Quantification of collagen substrates. (A) Second harmonic generation images
of 3.0 mg/mL and 1.2 mg/mL collagen substrates. (B) Modulus of collagen substrates at
10% strain and 1Hz (C) Quantification of fiber size (ωo) and (D) density of collagen
substrates. * p<1e-3, ** p<1e-26, *** p<1e-57
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MDA-MB231 cells shifts towards glycolytic signatures on stiffer collagen
substrates
By measuring NADH fluorescent lifetimes with FLIM, we were able to noninvasively determine spatial shifts in metabolism of different cell lines in response to
collagen substrate stiffness. NADH has two different lifetimes when it is free in the cytosol,
~0.4 ns, or bound to a protein, ranging from ~1.4 ns to 9 ns (Jameson et al., 1989;
Lakowicz et al., 1992; Skala et al., 2007). Thus, we are able to distinguish the ratio of free
and bound NADH at each pixel. For our studies, the lifetime of NADH bound to lactate
dehydrogenase (LDH, ~3.4 ns) is used when quantifying the population of bound NADH,
although there are many other possible enzymes (Datta et al., 2015; Ma et al., 2016). The
lifetime decay measured is Fourier transformed and displays a graphical representation
of fluorescence lifetime on the phasor plot where all single exponential decay lifetimes
are plotted on the semi-circle (called the universal circle) and all multi-exponential
lifetimes are inside the semicircle representing the sum of linear combinations of singleexponential lifetimes. Figure 2A depicts the fluorescence lifetime (0.4 ns) of free NADH
and 100% bound (3.4 ns) NADH to LDH. If the binding is not complete, we can calculate
the ratio of bound to free NADH from the pure free and bound linear combination of
lifetimes. In our control, the population of percentage bound to NADH was 75%. This
linear trajectory is indicative of GLY and OXPHOS state in live cells (Digman et al., 2008a;
Stringari et al., 2012).
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Figure 2: Metabolic indexes of MDA-MB231 and MCF10A cells on various substrate
stiffnesses. (A) An increased population of bound NADH to LDH (long lifetime NADH,
cyan) is indicative of a more OXPHOS signature while an increased population of free
NADH (short lifetime NADH, red) would indicate GLY. These two extremes create a linear
“M-trajectory” where mixed population of bound and free NADH, for example 75%, will lie
between these two points. (B) Percent increase of bound NADH in MDA-MB231 and
MCF10A cells relative to glass. (C) Colored images of FLIM of NADH and the average
intensity of NADH within MDA-MB231 and MCF10A cells. *p<0.05, **p<0.01, and
***p<1e-5 by Student’s t-test. Scale bar: 5 µm
Highly invasive MDA-MB231 cells were seeded on collagen and glass substrates
to observe changes in free:bound ratios of NADH. In addition, the free:bound ratio of
NADH in non-tumorigenic breast cells MCF10A were used as a control for a nontumorigenic cell line. MDA-MB231 cells showed a 6.2% and 11.4% increase of bound
NADH on 3.0 mg/mL and 1.2 mg/mL substrates, respectively, relative to those on glass
(Figure 2B). This indicates that as substrate stiffness increased, the MDA-MB231 cells
shifted from OXPHOS (white/cyan) to GLY (pink/red) (Figure 2C). MDA-MB231 cells on
glass were then treated with 10 µM Y-27632, a ROCK inhibitor that decreases cell
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contractility, to assess if inhibiting the cell’s mechanosensing ability would shift the
metabolism towards OXPHOS. Indeed, we see a significant change in the metabolic
index (5.7% increase in bound NADH) in these cells when Y-27632 was added (Figure
2B). Similar results were seen on MDA-MB231 cells on glass when treated with 3.5 µM
blebbistatin, showing a 14.4% increase relative to untreated glass samples
(Supplementary Figure S1). We also used both treatments on MDA-MB231 cells plated
on 1.2 mg/mL and 3.0 mg/mL collagen and detected an increase in the bound NADH
population as well (Supplementary Figure S2). MCF-10A cells did not show this shift in
metabolism in response to substrate stiffness, but did show an increase in the population
of bound NADH with the addition of Y-27632 on glass (Figure 2B&C). We also examined
other cancer cell lines to determine if they also had the same response to collagen
stiffness. These results are shown below.
Melanoma, A375MM, and glioblastoma, U251MG, cell lines showed different
results than that of the MDA-MB231 cells. A375MM cells shows no significant change in
free:bound ratio of NADH when on the 1.2 mg/mL or 3.0 mg/mL collagen substrates or
glass (Figure 3A&B). We noticed that these cells did not adhere as well on the collagen
substrates due to their round morphology (Figure 3C) which could be the reason why
there was no change in metabolism as seen in the MDA-MB231 cells. This further
supports our hypothesis that the mechanosensing pathway plays an important role in
cancer cell metabolism. On the other hand, the U251MG cells showed opposite changes
to that of MDA-MB231 cells with 3.4% and 1.6% decrease in bound NADH relative to
glass on 3.0 mg/mL and 1.2 mg/mL collagen, respectively (Figure 3B). Thus, they showed
increased glycolytic signatures as substrate stiffness decreased, although the changes
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were not significant. Previous studies have also shown that MDA-MB231 and U251MG
have opposite trends of matrix degradation and invadopodia formation when they are
cultured in different media supplemented with GLY or OXPHOS inhibitors (Van Horssen
et al., 2013). This may explain our results, but further studies will need to be conducted
to confirm them.
Figure 3: Metabolic indexes of A375MM and U251MG cells on various substrate
stiffnesses. (A) FLIM and average intensity images of NADH within A375MM melanoma
and U251MG glioma cell lines. (B) quantification of the percent change of NADH within
A375MM and U251MG cell lines on various substrates relative to those on glass. (C)
Transmitted optical images of A375MM and MDA-MB231 cells on different substrates.
*p<0.05, by Student’s t-test. Scale bar: 5 µm
We isolated the metabolic phasor signature of the nucleus and the cytoplasm and
compare them here across all surfaces in each cell line (Supplementray Figure 4).
Generally, the nucleus of the cell lines has a more GLY signature than the cytoplasm, but
this did not significant effect the results we found when looking at the entire cell within
MDA-MB231 and MCF10A cells. However, within A375MM cells seeded on 3.0 mg/mL
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or 1.2 mg/mL collagen substrates, their populations of bound NADH were similar; but
when looking at their nuclei and cytoplasmic, we began to see a separation between the
two conditions, especially in the nuclei alone. The nuclei in A375MM cells on 3.0 mg/mL
collagen substrates show a shift towards GLY where their population of bound NADH
decreased by 24.5% compared to those on glass. U251MG cell nuclei metabolic indices
were similar on all surfaces except for those on glass and treated with blebbistatin, which
show a 10.6 decrease in the population of bound NADH.
The rest of this report will focus mainly on the MDA-MB231 and MCF10A cells to
compare results of cancerous and non-tumorigenic cell lines. In order to confirm that the
fraction of free:bound ratio of NADH is modulated through substrate stiffness, we
conducted metabolism inhibition studies of each cell line when seeded on both collagen
and glass substrates.
Metabolism inhibition studies confirm that GLY and OXPHOS are modulated
by substrate stiffness
In order to ensure that the collagen density alters metabolism in MDA-MB231 and
MCF10A cells and that these changes correlate with lifetime positions along the M
trajectory, we treated these cell lines with oxidative phosphorylation and glycolysis
inhibitors. We treated MDA-MB231 cells with 50 mM 2-deoxyglucose and 100 mM
dichloroacetate (2DG&DCA) for GLY inhibition and 50 nM rotenone and 50 nM antimycin
A (R&A) for OXPHOS. 2DG&DCA treatment showed an increased population of bound
NADH of 25.43%, 16.01% and 12.98% for cells plated on glass, 3.0 mg/mL collagen, and
1.2 mg/mL collagen surfaces, respectively, relative to untreated cells (Figure 4C). When
MDA-MB231 cells were treated with R&A on 3.0 mg/mL and 1.2 mg/mL collagen
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substrates, they showed significant decreases in the population of bound NADH, p<0.05,
of 11.5% and 11.35%, respectively, relative to untreated cells. However, there was no
change when these cells plated on glass were inhibited with R&A. These treatments were
also applied to MCF10A cells where we observed a significant decrease in the population
of bound NADH only on 3.0 mg/mL collagen substrates, 5.52%, and glass, 5.93%, when
treated with R&A (Figure 4D). No changes were seen on the 1.2 mg/mL collagen
substrates. However, there was a significant increase of 3.32% on these cells when
plated on 1.2 mg/mL collagen and treated with 2DG and DCA.
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Figure 4: MDA-MB231 and MCF10A metabolic indexes when treated with metabolic
inhibitors. (A) MDA-MB231 and (B) MCF10A cells treated with rotenone and antimycin A
(R&A) or 2-deoxy glucose and dichloroacetate (2DG&DCA) for OXPHOS or GLY
inhibition, respectively. FLIM images show the shifts of metabolic indexes with respective
intensity images below. (C) Quantification of the change of bound NADH in MDA-MB231
and (D) MCF10A cells relative to untreated cells. *p<1e-3, **p<1e-4 or less by Student’s
t-test. Scale bar: 5 µm
Diffusion of focal adhesion proteins correlate to substrate stiffness
In order to correlate our finding of substrate stiffness to the stability of focal
adhesions dynamics in cells, we analyzed the diffusion of talin-GFP, a protein associated
with integrin mediated adhesions and the actin cytoskeleton, by using RICS, raster image
correlation spectroscopy (Digman and Gratton, 2009; Digman et al., 2008b, 2009; Liang
et al., 2017). In our previous work we demonstrated that increased spatio-temporal focal
adhesion diffusion of proteins at the focal adhesions indicated active adhesion
association and dissociation whereas stable adhesions had a steady state population. By
measuring the diffusion of talin at the FA, we can observe the motility and stability of the
adhesions. We hypothesized that MDA-MB231 on stiffer matrices would show a
decreased diffusion of talin-GFP due to increased FA stability. We imaged MBA-MB231
cells transiently transfected with talin-GFP and observed an increase of diffusion with
substrates stiffness (Supplementary Figure S5b). Talin-GFP of MDA-MB231 cells on
glass had a diffusion rate of 0.71 m2/sec where the cells on the 3.0 and 1.2 mg/mL
collagen substrates had rates of 3.40 m2/sec and 4.62 m2/sec, respectively. Cells were
treated with Y-27632, a specific inhibitor of kinase (ROCK) and cell contractility, to the
disruption of the mechanical tension (Martin et al., 2016). These cells had an increased
diffusion of talin-GFP of 2.04 m2/sec.
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Discussion
The Warburg effect is the hallmark for cancer cell metabolism, described as an
oncogene-directed glycolytic state even when oxygen is present (Vander Heiden et al.,
2009; Liberti and Locasale, 2016; Ward and Thompson, 2012). This could be due to the
high turnover of ATP production through glycolysis for energy production with glucose,
although the alternative process of oxidative phosphorylation creates more product of
energy per glucose molecule. Cancer cell invasion has also been shown to be modulated
by changes in metabolism through changing cell media additives for energy consumption
(Van Horssen et al., 2013; Scott et al., 2012) or the ECM stiffness (Artym et al., 2015;
Gould and Courtneidge, 2014; Paszek et al., 2005; Provenzano et al., 2008; Seewaldt,
2014). However, the link between ECM stiffness and cell metabolic state (OXPHOS or
GLY) is not clear. Recent studies that look at alterations of metabolism use invasive
biochemical assays that do not report the spatial heterogeneous changes of metabolic
response within cellular compartments, nor their cellular metabolic state. Our study used
FLIM of NADH to measure real-time metabolic indexes of different cancer cell types in
response to collagen substrate stiffness. This allows us to characterize which metabolic
process occurs with pixel resolution in live cells.
We have found that MDA-MB231 cells on substrates on two different collagen
stiffnesses have an increasing population of free NADH, showing a more glycolytic
signature of metabolism. This correlates with previous studies in that breast cancer cells
have increased migration and aggressiveness within stiffer collagen matrices (Haage and
Schneider, 2014; Levental et al., 2009; Paszek et al., 2005). In addition, cancer cells
undergo aerobic glycolysis for energy production, thus increased substrate stiffness could
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be a contributor to the metabolic shift towards glycolysis (Liberti and Locasale, 2016;
Morris et al., 2016). The ECM plays a key role in the cancer cell’s mechanosensing
pathway through integrin signaling, and there is increasing evidence that this regulates
cell migration and matrix degradation (Alexander et al., 2008; Beaty et al., 2013; Chiu et
al., 2013; Van Horssen et al., 2013). Increased ECM stiffness signals actin polymerization,
increased integrin signaling, and stabilization of the focal adhesion complexes
(Ciobanasu et al., 2013; Gardel et al., 2010; Hirata et al., 2014). This increase of integrin
signaling has been shown to also upregulate the PI3K/AKT/mTOR pathways and possible
metabolism switching in cancer cells (Ata and Antonescu, 2017; Caino et al., 2015; Lien
et al., 2016; Yang et al., 2015). In addition, stimulating the actin-contractility of cells
through external forces by shear flow or pulling of the cell membrane increases glucose
uptake (Bays et al., 2017; Hayashi et al., 1998). Bays et al. has shown that this increased
glucose uptake was also shown to increase ATP production for actin polymerization and
stabilize E-cadherin contacts. Our results expanded on these studies by looking at the
specific metabolic indexes of cancer cells when introduced to various substrate stiffness.
We speculate that these same pathways are being activated in the MDA-MB231 cells and
are stimulated passively through focal adhesion-mediated interactions with the ECM.
When cells grown on glass substrates were treated with Y-27632 or blebbistatin,
we inhibited their ability to undergo contraction through myosin-II and caused focal
adhesion detachment from the substrate (Martin et al., 2016). This in turn showed shifts
in metabolic indexes from GLY to OXPHOS in MDA-MB231 and MCF10A cells. This
confirms that it is through actin-mediated cell contractility that modulated these shifts in
metabolism. Interestingly, the MDA-MB231 cells treated with Y-27632 had a similar
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NADH free: bound ratio as those grown on 3.0 mg/mL, which could mean that their
degrees of contractility were similar to each the respective conditions. Those treated with
blebbistatin had a much larger shift towards OXPHOS, surpassing the population of
bound NADH of cells grown on 1.2 mg/mL collagen. Since blebbistatin directly affects
myosin-II and is more potent than Y-27632, this was as expected. We also used RICS to
measure the dynamics of the talin within MDA-MB231 cells to correlate these movements
to adhesion stability. Previous studies have shown that stable adhesions have a
developed mechanosensing network of actin, and these adhesions can grow in response
to forces or increasing substrates stiffness (Bieling et al., 2016; Kim and Wirtz, 2013; Petit
and Thiery, 2000; Wells, 2008). Thus, cells on the stiffest substrates should have the most
stable adhesions and a decreased diffusion rate due to lack of unbinding. Increased FAK
promotes glucose consumption and play a key role in the OXPHOS and GLY balance
within cancer cells (Palorini et al., 2013). MDA-MB231 cells expressing talin-GFP were
imaged over time on each of the substrates, and an area containing the focal adhesions
was analyzed with RICS to extract the diffusion of those proteins. Our results show that
the cells on the glass substrates contained the slowest diffusion rates of 0.71 m2/sec
and the fastest of 4.62 m2/sec for cells grown on 1.2 mg/mL substrate. This supports our
hypothesis that our softest substrates would give rise to faster moving adhesions due to
their instability and thus constant unbinding and binding. In addition, it further supports
that an upregulation of adhesion through substrates stiffness shifts MDA-MB231 cells
towards a glycolytic signature. We saw that when these cells on the glass substrate were
treated with Y-27632, had an increased diffusion of 2.05 m2/sec from 0.71 m2/sec.
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
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The human melanoma cell lines, A375MM, in this study attached to 1.2 mg/mL
and 3.0 mg/mL collagen substrates but did not spread as well as all other cells. This was
an indication that their adhesions are not stable or favorable on these substrates
(Calderwood et al., 2013; Cavalcanti-Adam et al., 2007; Massia and Hubbell, 1991) and
their mechanosensing ability could have been compromised and reduced mitochondria
activity (Ochsner et al., 2010). Consequently, this would fail to change the metabolic
indexes of these cells as shown in our results; where the NADH free: bound of A375MM
on 1.2 mg/mL or 3.0 mg/mL have no significant difference. This phenotype showed that
there is a confirmed link between focal adhesion-mediated mechanosensing and cellular
metabolism
We also measured the NADH free:bound ratio in glioblastoma cells, U251MG, to
see if these trends existed in other cancer cell lines. It was found that they had an opposite
trend than that of the MDA-MB231 cells. As substrate stiffness increased, the U251MG
cells had a more OXPHOS metabolic index, or an increase in bound NADH. Studies done
by Van Horssen et. al also showed that MDA-MB231 and U251MG cells had opposite
trends in matrix degradation and invadopodia formation when their metabolism is altered
either by galactose containing media to inhibit GLY or addition of oligomycin to inhibit
OXPHOS (Van Horssen et al., 2013). It is important to note that there are many other
possible uses for pyruvate aside from OXPHOS in the mitochondria. Downstream of GLY
are intermediates of the tricarboxyl acid cycle, such as citrate, which allows for synthesis
of lipids, proteins and nucleic acids, a demand for highly proliferating cells (DeBerardinis
et al., 2008). There is also fatty acid synthesis through citrate which is shown to correlate
with the formation of invadopodia, which are actin rich protrusions used for matrix invasion
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
(Gould and Courtneidge, 2014; Morris et al., 2016; Scott et al., 2012). In addition, the
pentose phosphate pathway could further increase the GLY and fraction of free NADH.
All of the pathways mentioned could be elevated within MDA-MB231 cells, which could
contribute to their difference in metabolic trends from the U251MG cells when ECM
stiffness is varied.
The MB231 cells have a significant decrease in the fraction of bound NADH when
plated on glass, 3.0 mg/mL and 1.2 mg/mL collagen, respectively. We confirmed that the
changes with metabolic trajectory were reflective in cellular metabolism using the
OXPHOS and GLY inhibitors. When these inhibitors were added, cells shifted their
metabolism accordingly to their inhibitors but there were no significant metabolic
differences across substrate density within these changes (Supplementary Figure S3A).
However, the MCF10A cell lines did not show any significant changes across substrate
densities in the untreated conditions. They did show substrate sensitivity only when
OXPHOS was inhibited. When R&A was added to inhibit OXPHOS to the 3.0 mg/mL and
glass substrates in MCF10A cells, there was a maximum decrease to around 64% of the
population of bound NADH; however, those on 1.2 mg/mL collagen showed no significant
change (Supplementary Figure S3B). This could mean that on stiffer substrates, these
cells were more susceptible to metabolic changes when introduced to inhibitors.
Additionally, this could also indicate that the metabolism of the MCF10A cells was
behaving more like the MDA-MB231 cells on stiffer matrices. When 2DG&DCA was
added to inhibit GLY in MCF10A cells, we see a significant increase of the population of
bound NADH to around 71.2% when grown on 1.2 mg/mL collagen substrate. Since
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
OXPHOS and softer substrates is preferable for the MCF10A cells, this could mean that
this ECM provides an extra boost towards OXPHOS pathway when GLY is inhibited.
The phasor approach to FLIM of NADH allows isolation of the metabolic signature
within sub-cellular compartments of the cells. Here, we focused on comparing the nuclei
and cytoplasm of MDA-MB231, MCF10A, A375MM and U251MG cell lines
(Supplementary Figure S4). We were able to see that the metabolic shifts within the nuclei
and cytoplasm of MDA-MB231 and MCF10A cells are similar to their whole cell signature.
However, within A375MM cells we were able to make distinctions of the population of
bound NADH between surfaces, which were not detected when averaging over the entire
cell. The nuclei of A375MM cells on 3.0 mg/mL collagen substrates has a significant
decrease in the population of bound NADH with respect to those on glass. Thus, looking
at the nuclear metabolic indexes can separate subtle changes that are hidden in whole
cell readings. These distinctions seen could be due to nuclear processes, such as
transcription or DNA repair, which has also been shown to affect the ratio of bound and
free NADH (Aguilar-Arnal et al., 2016; Wright et al., 2012).
Conclusion
We have shown that focal adhesion-mediated contractility modulates cell
metabolism in MDA-MB231 cancer cells. With the use of FLIM of NADH, we were able to
measure metabolic changes of cancer cell lines MDA-MB231, A375M and U251MG and
within non-tumorigenic line MCF10A. Particularly in breast cancer MDA-MB231 cell lines,
we saw that stiffer substrates shifted cells to have a more glycolytic metabolic signature
due to their increased population of free NADH. However, in non-tumorigenic breast cells
MCF10A, we did not see any changes in metabolism across all substrates. Further
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
studies by inhibiting myosin-II contractility increased the population of bound NADH MDAMB231 cells across all surfaces and confirmed our hypothesis. In addition, an increase in
substrate stiffness was seen to results in less dynamic talin proteins and more stable
adhesions, indicating an established mechanosensing network. This further supports our
assertion that ECM mediated adhesions are upregulated due to substrate stiffness and
modulates metabolic signatures.
We also confirmed that the changes in NADH free:bound ratio in MDA-MB231 and
MCF10A cells were due to GLY or OXPHOS by inhibiting these pathways with
dichloroacetate and 2-deoxyglucose or rotenone and antimycin A, respectively. With our
results combined with what is known in literature, there is a relationship between the
mechanosensing and metabolism pathway in cancer cells, and both play a critical role in
regulating cancer invasiveness. This provides insight to develop therapies which target
mechanosensing abilities of cancer cells to revert their metabolism similar to a more nontumorigenic cell type or decrease their invasiveness.
Materials and Methods
Cell culturing and transfections
MDA-MB231 and A375MM cells were cultured in Dulbecco's Modified Eagle's
Medium (DMEM) with high glucose, L-glutamate, and sodium pyruvate (Genesee
Scientific, San Diego, CA) supplemented with 10% heat inactivated Fetal Bovine Serum
(Thermofisher Scientific, USA) and 1% Penicillin-Streptomycin 100X Solution (Genesee
Scientific, San Diego, CA). MCF10A cells were cultured in DMEM/F12 with high glucose,
sodium pyruvate and L-glutamine (Thermofisher Scientific, USA) supplemented with 5%
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
horse serum (Thermofisher Scientific, USA), 20 ng/mL epidermal growth factor, 0.5
mg/mL Hydrocortisone (Sigma-Aldrich, St. Louis, MO), 100 ng/mL cholera toxin (SigmaAldrich, St. Louis, MO), 10 µg/mL insulin (Sigma-Aldrich, St. Louis, MO), and 1%
Penicillin-Streptomycin 100X Solution (Genesee Scientific, San Diego, CA). U251MG
cells were cultured in DMEM/F12 with high glucose, sodium pyruvate and L-glutamine
(Thermofisher Scientific, USA) supplemented with 10% heat inactivated Fetal Bovine
Serum (Thermofisher Scientific, USA) and 1% Penicillin-Streptomycin 100X Solution
(Genesee Scientific, San Diego, CA). All cell lines were incubated at 37 oC, 5% CO2.
When cell lines which required transfections of talin-GFP (Addgene, Cambridge,
MA) were seeded in a 6-well plate at 0.25x10-6 cells/well overnight at 37oC, 5% CO2.
Lipofectamine 3000 (Thermofisher Scientific, USA) was used for transfections following
manufacture protocol. Briefly, 100 µL of Opti-mem (Thermofisher Scientific, USA) and 5
µL of Lipofectamine 3000 were mixed in a microcentrifuge tube. In a second
microcentrifuge tube, 100 µL of Opti-mem, 1 µg of DNA plasmid, and 2 µL/µg of P3000
reagent were mixed together. Both tubes were allowed to sit for 5 minutes at room
temperature and then combined. After the transfection mixture was allowed to sit for 25
minutes at room temperature, it was added dropwise to the cells.
Collagen substrate monolayers
Substrates were made on 35 mm glass bottom imaging dishes which were treated
for 5 minutes with UV-ozone. 1% v/v of 3-aminopropyltriethoxysilane (APTES) in
deionized water were added and allowed to sit for 25 minutes at room temperature. The
dishes were washed thoroughly with deionized water and brought to the biosafety hood
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
for sterile handling. 1 mL of sterilized MilliQ water used to rinse the dish before collagen
was added.
For collagen preparation, microcentrifuge tubes and reagents used were kept on
ice for as long as possible while handling. Collagen I from rat tail (Corning, Corning, NY)
was diluted with deionized water such that the final concentration was either 1.2 mg/mL
or 3.0 mg/mL. 100 µL of 10X phosphate buffer saline (Thermofisher Scientific, USA)
containing phenol red was added dropwise while vortexing as a pH indicator. 5N NaOH
was then added dropwise to the mixture with periodic vortexing until the solution became
a slight pink (pH~7). The collagen was then added to the treated imaging dish (total
volume of 1 mL) and incubated at 20oC for 1 hour and then at 37oC, 5% CO2 overnight.
0.25x10-6 cells were then added to each dish the next day and then allowed to incubate
at 37oC, 5% CO2 overnight again before imaging took place.
Inhibition studies
Contractility inhibition was done with Y-27632 (Selleckchem, US) or blebbistatin (SigmaAldrich, St. Louis, MO) at a working concentration of 10 µM and 3.5 µM, respectively. Each
inhibitor was incubated for 10 minutes at room temperature before conducting FLIM/NADH
imaging. MDA-MB231 or MCF10A cells were treated with sodium dichloroacetate (Sigma-Aldrich,
St. Louis, MO) and 2-deoxyglucose (Sigma-Aldrich, St. Louis, MO) at a working concentration of
100 mM and 50 mM, respectively, for 6 hours at 37°C, 5% CO2 to inhibit glycolysis (Cinco et al.,
2016). Similarly, cells were treated for 10 minutes with 50 nM rotenone and 50 nM antimycin A at
37°C, for oxidative phosphorylation inhibition studies before NADH lifetimes were measured.
Characterization of collagen substrates
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
Rheology measurements of collagen substrates were conducted to obtain the
storage (G') and loss (G") moduli. The collagen substrates were pre-made on 15 mm
glass slides that were treated with UVO and APTES as described above. Collagen
solutions of 1.2 mg/mL or 3.0 mg/mL was carefully pipetted onto the round glass slides
and allowed to incubate at 20oC for 1 hour and then at 37oC overnight for 2 nights to
mimic culturing conditions for imaging. The glass sides were placed on the stage of the
AR-G2 rheometer (TA Instruments, New Castle, DE) that was kept at a constant
temperature of 37°C. A sand-blasted parallel plate geometry with a diameter of 25 mm
was lowered to a gap distance of 0.3 mm so that it was in close contact with the surface
of the collagen. Rheology measurements were conducted at a constant sinusoidal
frequency of 1 Hz and 10% peak-to-peak strain and outputs of G' and G" were recorded
for a total of 10 minutes. A data point was taken every 60 seconds.
Second harmonic generation imaging of collagen substrates were conducted to
characterize substrate density as previously described (Chiu et al., 2013; Raub et al.,
2007). Briefly, 2-photon excitation at 900 nm was used to generate second harmonics of
collagen and collected with a bandpass filter at 460/80 nm with external photon-multiplier
tubes (H7422P-40, Hamamatsu, Japan) and FastFLIM FLIMBox (ISS, Champaign, IL).
100 frames were collected and analyzed using image correlation spectroscopy on
SimFCS (LFD, UCI). Spatial correlations were applied to each pixel at coordinate (𝑥, 𝑦)
of the complied SHG images with equation (1) :
𝐺𝑠 (𝜉, 𝜑) =
<𝐼(𝑥,𝑦)𝐼(𝑥+𝜉,𝑦+𝜑>𝑥,𝑦
<𝐼(𝑥,𝑦)>2 𝑥,𝑦
− 1,
(1)
where 𝐼 is the intensity. 𝜉 and 𝜑 are the spatial shifts in the 𝑥 and 𝑦 directions,
respectively.
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
Confocal and fluorescent lifetime imaging acquisition and analysis
FLIM images for MDA-MB231, U251MG and A375MM cells were imaged on the
Zeiss LSM 710 (Carl Zeiss, Jena, Germany), LSM 880 (Carl Zeiss, Jena, Germany),
and Olympus Fluoview respectively. MCF10A cells were also imaged on the LSM710.
Metabolism inhibition studies of MDA-MB231 and MCF10A cells were imaged on the
Olympus Fluoview. Images (256x256 pixel size) were taken at a pixel dwell time of 25.21
µs, 16.38 µs, and 20 µs for the LSM710, LSM880, and Fluoview, respectively. All
microscope systems were coupled to with a two-photon Ti: Sapphire laser (SpectraPhysics MaiTai, Mountain View, CA) for NADH excitation at 740 nm with an Olympus
40X/0.8 NA water objective. The emission was separated at 690 nm in all systems
followed by two bandpass filter at 460/80 nm and 540/50 nm with a with a dichroic mirror
495 nm long-pass filter. The signal was collected with an external photomultiplier tube
(H7422P-40, Hamamatsu, Japan). A320 FastFLIM FLIMbox (ISS, Champaign, IL) was
used to acquire the frequency domain of the lifetime of NADH until enough statistics was
obtained. Images of coumarin-6 in ethanol were also taken as reference and calibration
for FLIM measures across all microscopes.
SimFCS (LFD, UCI) was used to analyze the fluorescent lifetime of NADH at every
pixel. The lifetime decay at each pixel was Fourier transformed and plotted on a phasor
plot as previous described where each point on the phasor represents one pixel (Digman
et al., 2008a). Each cell’s cluster of phasor points were averaged to obtain their S, G, and
fraction bound value. The fraction of bound NADH is calculated based on the fact that
any two points on the phasor plot (e.g. 100% free NADH and 100% bound NADH to LDH)
can be connected by a line and any points along that line will be a linear representation
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
of the two extremes. Thus, the experimental data will exist between 100% free NADH and
100% bound NADH, signifying a samples that has a mixture of free and bound NADH.
Those points that are closer to the phasor of bound NADH to LDH will have a higher
population of bound NADH.
Focal adhesion imaging analysis
MBA-MB231 cells were transfected with talin-GFP and imaged on the Olympus
FV1000 or Zeiss 880 microscope. 100 frames were taken at a 256x256 pixels where the
pixel size was no more than 90 nm with a dwell time of 4.10 us/pixel for the Olympus or
LSM 880, respectively. These images were analyzed with SimFCS using the raster image
correlation spectroscopy to a region of interest (ROI) of 64x64 pixels of where the focal
adhesions were located. The RICS routine as previously described (Digman and Gratton,
2009; Digman et al., 2008b; Rossow et al., 2010). A moving average subtraction of 10
frames was applied to analysis to account for any bulk cell motion. ωo, or the waist of the
point spread function, was estimated as 0.3 µm. After generation of the auto correlation
function, a fit was applied with the correct imaging parameters and the diffusion of the
talin-GFP molecules within the ROI.
Statistical analysis
Statistical significance was determined for experiments with the Student's t-test
(two-sample, unequal variance) in Microsoft Excel.
Author Contributions
E.J.M. conducted all studies relating to cell mechanosensing and metabolism
along with their FLIM analysis. Metabolism inhibition image collection and FLIM analysis
26
bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
were done by G.M. Focal adhesion protein, second harmonic generation of collagen, and
rheology measurements and analysis were conducted by E.J.M. Collagen substrates
were prepared by E.J.M. and G.M for their respected experiments. E.J.M., G.M., A.F.Y.,
and M.A.D. contributed to data interpretation and manuscript preparation.
Conflict of Interest
The authors declare that no competing financial interest exists.
Acknowledgements
The authors sincerely thank Dr. Enrico Gratton, director of the Laboratory for
Fluorescent Dynamics, for his advice on image correlation spectroscopy and raster image
correlation spectroscopy on focal adhesions; Michael Murata, Andrew Trinh, Ning Ma,
and Sara Sameni for their advice on NADH FLIM data; Jeremy Jacinto for organizing
figures for this manuscript; the Daniela Bota Lab at UC Irvine for donating U251MG cells,
and the Feng Liu-Smith lab at UC Irvine for donating A375MM cells. This work was
supported by the National Institutes of Health grant P41-RRO3155 and in part by the
American Cancer Society Institutional Research Grant 129801-IRG-16-187-13-IRG from
the American Cancer Society.
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bioRxiv preprint doi: https://doi.org/10.1101/272948. this version posted February 28, 2018. The copyright holder for this preprint (which was
not certified by peer review) is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
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