Dariusz Lachowski1,2, Carlos Matellan1, Sahana Gopal3, Ernesto Cortes1, Benjamin K Robinson1, Alberto Saiani4,2, Aline F Miller5,2, Molly M Stevens3, Armando E Del Río Hernández1. 1. Cellular and Molecular Biomechanics Laboratory, Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom. 2. Manchester BIOGEL, Mereside, Alderley Park, Alderley Edge, Cheshire SK10 4TG, United Kingdom. 3. Department of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, United Kingdom. 4. Department of Materials and Manchester Institute of Biotechnology, Faculty of Science and Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom. 5. Department of Chemical Engineering and Manchester Institute of Biotechnology, Faculty of Science and Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom.
Abstract
Liver fibrosis, a condition characterized by extensive deposition and cross-linking of extracellular matrix (ECM) proteins, is idiosyncratic in cases of chronic liver injury. The dysregulation of ECM remodeling by hepatic stellate cells (HSCs), the main mediators of fibrosis, results in an elevated ECM stiffness that drives the development of chronic liver disease such as cirrhosis and hepatocellular carcinoma. Tissue inhibitor of matrix metalloproteinase-1 (TIMP-1) is a key element in the regulation of ECM remodeling, which modulates the degradation and turnover of ECM components. We have previously reported that a rigid, fibrotic-like substrate can impact TIMP-1 expression at the protein level in HSCs without altering its mRNA expression. While HSCs are known to be highly susceptible to mechanical stimuli, the mechanisms through which mechanical cues regulate TIMP-1 at the post-translational level remain unclear. Here, we show a mechanism of regulation of plasma membrane tension by matrix stiffness. We found that this effect is orchestrated by the β1 integrin/RhoA axis and results in elevated exocytosis and secretion of TIMP-1 in a caveolin-1- and dynamin-2-dependent manner. We then show that TIMP-1 and caveolin-1 expression increases in cirrhosis and hepatocellular carcinoma. These conditions are associated with fibrosis, and this effect can be recapitulated in 3D fibrosis models consisting of hepatic stellate cells encapsulated in a self-assembling polypeptide hydrogel. This work positions stiffness-dependent membrane tension as a key regulator of enzyme secretion and function and a potential target for therapeutic strategies that aim at modulating ECM remodeling in chronic liver disease.
Liver fibrosis, a condition characterized by extensive deposition and cross-linking of extracellular matrix (ECM) proteins, is idiosyncratic in cases of chronic liver injury. The dysregulation of ECM remodeling by hepatic stellate cells (HSCs), the main mediators of fibrosis, results in an elevated ECM stiffness that drives the development of chronic liver disease such as cirrhosis and hepatocellular carcinoma. Tissue inhibitor of matrix metalloproteinase-1 (TIMP-1) is a key element in the regulation of ECM remodeling, which modulates the degradation and turnover of ECM components. We have previously reported that a rigid, fibrotic-like substrate can impact TIMP-1 expression at the protein level in HSCs without altering its mRNA expression. While HSCs are known to be highly susceptible to mechanical stimuli, the mechanisms through which mechanical cues regulate TIMP-1 at the post-translational level remain unclear. Here, we show a mechanism of regulation of plasma membrane tension by matrix stiffness. We found that this effect is orchestrated by the β1 integrin/RhoA axis and results in elevated exocytosis and secretion of TIMP-1 in a caveolin-1- and dynamin-2-dependent manner. We then show that TIMP-1 and caveolin-1 expression increases in cirrhosis and hepatocellular carcinoma. These conditions are associated with fibrosis, and this effect can be recapitulated in 3D fibrosis models consisting of hepatic stellate cells encapsulated in a self-assembling polypeptide hydrogel. This work positions stiffness-dependent membrane tension as a key regulator of enzyme secretion and function and a potential target for therapeutic strategies that aim at modulating ECM remodeling in chronic liver disease.
Fibrosis
is a hallmark of liver
diseases such as hepatocellular carcinoma,[1] nonalcoholic fatty liver disease,[2] hepatitis
C,[3] and other chronic liver diseases.[4] Hepatic stellate cells (HSCs), which reside in
the healthy liver in a quiescent state, become activated in response
to liver injury and undergo trans-differentiation into myofibroblasts,
characterized by increased contractility, excessive ECM deposition,
and abnormal ECM remodeling.[5,6] ECM remodeling is regulated
by the balance between ECM deposition (fibrogenesis) and degradation.
Matrix metalloproteinases (MMPs) mediate ECM turnover by degrading
various ECM fibers, as well as nonfibrous components, such as adhesion
proteins, matrix-associated growth factors, and inflammatory cytokines.[7−9] MMP activity is in turn negatively regulated by tissue inhibitor
of metalloproteinases (TIMPs), a structurally diverse family of proteins
(TIMP-1–TIMP-4) that inhibit MMPs with different levels of
affinity, thereby impairing ECM degradation.[10,11] Dysregulation in the balance between MMPs and TIMPs results in excessive
ECM deposition, reduced ECM turnover, and consequently, increased
matrix stiffness, which has been found at the center of pathological
conditions such as inflammation, fibrosis, and cancer.[7−9,12] Understanding how the balance
between the expression of MMPs and TIMPs in HSCs becomes disrupted
in fibrosis is therefore critical in targeting the mechanical drivers
of chronic liver disease.The activity of HSCs is highly regulated
by biochemical and mechanical
cues from their microenvironment, and the increase in matrix stiffness
associated with fibrosis has been shown to promote their activation.[13−15] Previously, we reported that increased substrate rigidity upregulates
TIMP-1 secretion by HSCs,[16] suggesting
a mechanosensitive feedback network in which the rigid environment
of fibrosis can prevent its own degradation. We found that substrate
stiffness has no effect on TIMP-1 mRNA expression. While this finding
points toward a mechanism of stiffness-dependent regulation at the
post-translational level the pathways that modulate the turnover,
degradation, or transport of TIMP-1 remains largely unexplored. In
cells, TIMP-1 is secreted through the cell membrane via exocytosis,[17] prompting us to study the
effect of matrix stiffness on membrane trafficking.The connection
between the plasma membrane, vesicular trafficking,
and mechanosignaling has long been established.[18,19] The plasma membrane is not only the physical barrier between the
cell and its environment and an anchor point for a variety of mechanosensing
transmembrane proteins, but also a dynamic structure that responds
and adapts to both internal and external mechanical stimuli.[20] Plasma membrane tension is sensitive to forces
(e.g., osmotic pressure, tension and shear) and to
changes in the composition and topography (folds and invaginations)
of the lipid bilayer as well as changes in the contractility of the
underlying actomyosin cortex.[20−22] While its ability to adapt to
changes in tension is critical to maintain cell integrity, the lipid
bilayer is itself inelastic[21] and instead
relies on changes to its surface area (e.g., folds)
and expansion (vesicle fusion by exocytosis) to buffer increases in
tension.[20,23]Caveolae are small (50–80 nm)
invaginations of the plasma
membrane rich in the transmembrane protein caveolin-1[23] that mediate rapid and dynamic changes in plasma membrane
tension in response to mechanical stimuli. The formation of caveolae
occurs when exocytic caveolar carriers, rich in caveolin-1, cholesterol,
and glycosphingolipids, are trafficked from the Golgi complex to the
plasma membrane.[24] The plasma membrane
of cells at rest (low tension) is rich in caveolae, sometimes arranged
in clusters known as rosettes,[23,25] which serve as phospholipid
reserves. In response to increased membrane tension, caveolae rapidly
flatten, increasing the membrane area as a mechano-protective mechanism.[26] Similarly, an increase in exocytosis and vesicle
fusion with the membrane has also been observed as an adaptive response
to high plasma membrane tension, delivering phospholipids to expand
the surface area of the membrane.[21,27,28]The mechano-adaptive role of caveolae positions
them at the junction
between substrate stiffness mechanosensing and membrane tension modulation.
Caveolae have been shown to be closely associated with actomyosin
stress fibers in several cell types,[25] potentially via filamin A.[29,30] Caveolae also flatten
in response to actin polymerization,[31] which
is well-known to be positively regulated by substrate stiffness via mDia. Moreover, caveolin-1 expression is regulated by
matrix stiffness,[32] revealing a link between
matrix mechanosensing and vesicular traffic. In turn, caveolin-1 may
recruit and activate RhoA, stabilize focal adhesions, and modulate
the transcription factor YAP,[23,25] suggesting the potential
for bidirectional crosstalk.In this study, we investigate the
role of substrate stiffness on
plasma membrane tension and vesicular trafficking. We demonstrate
that substrate stiffness positively regulates plasma membrane tension
through a β1 integrin and RhoA-dependent mechanism, which in
turns promotes caveolae formation and TIMP-1 vesicle exocytosis via caveolin-1 and dynamin-2. We then investigate the biological
relevance of this mechanism by analyzing the expression of TIMP-1
and caveolin-1 in cirrhosis and hepatocellular carcinoma (HCC), and
demonstrate these proteins are upregulated in chronic liver diseases,
an effect that can be recapitulated on HSCs cultured on 3D matrices
with fibrosis-mimicking stiffness. This work may aid in the design
of therapies targeting the cell membrane to arrest the delivery of
factors to the tissue microenvironment that perpetuate ECM stiffening
in disease.
Results and Discussion
Substrate Stiffness Correlates with Plasma
Membrane Tension
in HSCs
Increased matrix stiffness is a hallmark of liver
fibrosis and an underlying condition in many chronic liver diseases.
Hepatic stellate cells (HSCs) are able to mechanically sense and respond
to these signals, which increases their activation, migration, and
contractility. Our previous studies showed that substrate stiffness
can increase the protein levels of TIMP-1 in HSCs without affecting
their mRNA expression, pointing toward an unexplored stiffness-modulated
secretory mechanism.[16] Since increased
traffic of vesicles—small membrane-bound structures that transport
proteins to and from the membrane for secretion—has been proposed
as a response to plasma membrane tension,[33] and plasma membrane tension can be modulated by the contractility
of the actomyosin cortex,[34] we decided
to investigate the potential link between matrix stiffness and membrane
tension.To analyze their response to substrate stiffness, HSCs
were seeded on fibronectin-coated polyacrylamide gels of tunable rigidity.[35] We then used the membrane tension reporter Flipper
TR to assess the effect of substrate rigidity on membrane tension
(Figure A,B). Flipper
TR is a probe designed to intercalate within the lipid bilayer and
undergo conformational changes that alter its fluorescence lifetime
in response to plasma membrane tension.[36] Using fluorescence lifetime imagining microscopy (FLIM), we observed
a significant increase in the fluorescence lifetime of Flipper TR
in HSCs cultured on stiff (25 kPa) polyacrylamide substrates (5481
± 34 ps, mean ± s.e.m., n = 16) compared
to those cultured on soft (4 kPa) substrates (4877 ± 76 ps, mean
± s.e.m., n = 11).
Figure 1
Plasma membrane tension
increases in response to elevated substrate
stiffness. (A) Representative images and quantification (B) of the
FLIPPER-TR membrane tension probe fluorescence lifetime in hepatic
stellate cells on 4 and 25 kPa polyacrylamide substrates. Scale bar
represents 50 μm. Data are representative of three independent
experiments; dots represent fluorescence lifetimes of n = 11 and 16 cells for 4 and 25 kPa substrates, respectively. Mean
± s.e.m. Markers denote the significant difference between 4
and 25 kPa by t test, **** p <
0.0001. (C) Schematics of the AFM cell membrane indentation for the
Young’s Modulus measurements. (D) Hepatic stellate cell’s
membrane stiffness on 4, 12, and 25 kPa polyacrylamide substrates
measured as Young’s Modulus. Histogram bars represent mean
± s.e.m; dots represent individual data points. Data are representative
of three independent experiments and 100 cells analyzed. Markers denote
the significant difference from the 4 kPa condition by ANOVA with
Dunnett’s post hoc test, **** p < 0.0001.
Plasma membrane tension
increases in response to elevated substrate
stiffness. (A) Representative images and quantification (B) of the
FLIPPER-TR membrane tension probe fluorescence lifetime in hepatic
stellate cells on 4 and 25 kPa polyacrylamide substrates. Scale bar
represents 50 μm. Data are representative of three independent
experiments; dots represent fluorescence lifetimes of n = 11 and 16 cells for 4 and 25 kPa substrates, respectively. Mean
± s.e.m. Markers denote the significant difference between 4
and 25 kPa by t test, **** p <
0.0001. (C) Schematics of the AFM cell membrane indentation for the
Young’s Modulus measurements. (D) Hepatic stellate cell’s
membrane stiffness on 4, 12, and 25 kPa polyacrylamide substrates
measured as Young’s Modulus. Histogram bars represent mean
± s.e.m; dots represent individual data points. Data are representative
of three independent experiments and 100 cells analyzed. Markers denote
the significant difference from the 4 kPa condition by ANOVA with
Dunnett’s post hoc test, **** p < 0.0001.To confirm these results, we used atomic force
microscopy (AFM)
to probe the elasticity of the plasma membrane,[37,38] limiting the cantilever approach velocity (2 μm/s) and the
voltage set point (0.1 V) to ensure that the indentation curve corresponds
to the plasma membrane and not the underlying cytoskeleton (Figure C). Cell membrane
stiffness increased from 1.0 ± 0.1 kPa on soft (4 kPa) substrates
to 3.6 ± 0.2 kPa on stiff (25 kPa) substrates (mean ± s.e.m., n = 49, 38 for soft and stiff respectively), indicating
an increase in plasma membrane tension in response to high substrate
stiffness (Figure D), consistent with our previous results. We also confirmed that
cytoskeletal stiffness increases with substrate rigidity (Figure S1) but remains lower than membrane stiffness,
consistent with a previous study.[39] Taken
together, these results indicate that HSCs are able to sense and respond
to the mechanical properties of their microenvironment by modulating
the plasma membrane tension, which prompted us to investigate the
mechanotransduction pathway underlying this response.
Stiffness-Driven
Changes in Plasma Membrane Tension Are Dependent
on the β1 Integrin/RhoA Axis
Integrins are ECM-binding
transmembrane proteins that mediate the mechanical interaction between
the cell and the ECM and are therefore critical in probing the mechanical
properties of the microenvironment (mechanosensing) and converting
these mechanical signals into biochemical signaling pathways (mechanotransduction).
The fibronectin-binding β1 and β3 integrins have both
been associated with matrix stiffness mechanosensing. They mediate
distinct mechanotransduction pathways, namely stiffness-dependent
changes in cell adhesion, and actomyosin contractility and talin-dependent
mechanosignaling, respectively.[40] Given
the distinct role of β1 and β3 integrins in cell/ECM mechanical
interaction and the different downstream mechanosignaling cascades,
we decided to investigate which mechanosensory pathway is responsible
for the changes in plasma membrane tension in response to substrate
stiffness.To this end, we used AFM to investigate the role
of β1 integrin on plasma membrane tension and found that blocking
of β1 integrin (552828, BD Biosciences antibody) causes a small
but significant decrease in plasma membrane tension in cells cultured
on soft (4 kPa) gels and, more notably, on cells cultured on stiff
gels (Figure A,B).
In particular, cells cultured on 25 kPa show a 3-fold reduction in
plasma membrane tension, from 3.3 ± 0.6 kPa to 0.8 ± 0.1
kPa (mean ± s.e.m., n = 9 and 12, respectively)
upon β1 integrin blocking, comparable to control cells on soft
(4 kPa) gels. To confirm these results, we assessed mouse epithelioid
cells (GE11)[41] and observed that GE11 β1
integrin–/– cells present significantly lower
membrane tension compared to GE11 cells overexpressing β1 integrin
(Figure S2). Together, these results suggest
that the increase in plasma membrane tension we observe in response
to substrate rigidity relies on β1 integrin-dependent mechanosensing.
Figure 2
Stiffness-dependent
membrane tension modulation depends on β1
integrin and RhoA. Membrane stiffness of hepatic stellate cells on
4 kPa (A) and 25 kPa (B) substrates measured by AFM. Histogram bars
represent mean ± s.e.m; dots represent individual data points.
Markers denote significant difference from control condition by the
Kruskal–Wallis test with Dunn’s post hoc test, * 0.01
< p < 0.05, **** p < 0.0001.
Representative images (C) and quantification (D) of the FLIPPER-TR
membrane tension probe fluorescence lifetime (FLIM) in control hepatic
stellate cells, hepatic stellate cells treated with the RhoA activator
or the RhoA inhibitor on 4 and 25 kPa polyacrylamide substrates. Scale
bar represents 50 μm. Data are representative of 3 independent
experiments; dots represent fluorescence lifetime. Mean ± s.e.m; n = 10, 12, and 11 cells for control, RhoA activator and
RhoA inhibitor on 4 kPa, respectively. n = 16, 11,
and 11 cells for control, RhoA activator, and RhoA inhibitor on 25
kPa, respectively. Markers denote nonsignificant (n.s.) or significant
difference from control condition on 4 kPa (*) or 25 kPa (†)
by the Kruskal–Wallis test with Dunn’s post hoc test,
** 0.001 < p < 0.01, †††
0.0001 < p < 0.001.
Stiffness-dependent
membrane tension modulation depends on β1
integrin and RhoA. Membrane stiffness of hepatic stellate cells on
4 kPa (A) and 25 kPa (B) substrates measured by AFM. Histogram bars
represent mean ± s.e.m; dots represent individual data points.
Markers denote significant difference from control condition by the
Kruskal–Wallis test with Dunn’s post hoc test, * 0.01
< p < 0.05, **** p < 0.0001.
Representative images (C) and quantification (D) of the FLIPPER-TR
membrane tension probe fluorescence lifetime (FLIM) in control hepatic
stellate cells, hepatic stellate cells treated with the RhoA activator
or the RhoA inhibitor on 4 and 25 kPa polyacrylamide substrates. Scale
bar represents 50 μm. Data are representative of 3 independent
experiments; dots represent fluorescence lifetime. Mean ± s.e.m; n = 10, 12, and 11 cells for control, RhoA activator and
RhoA inhibitor on 4 kPa, respectively. n = 16, 11,
and 11 cells for control, RhoA activator, and RhoA inhibitor on 25
kPa, respectively. Markers denote nonsignificant (n.s.) or significant
difference from control condition on 4 kPa (*) or 25 kPa (†)
by the Kruskal–Wallis test with Dunn’s post hoc test,
** 0.001 < p < 0.01, †††
0.0001 < p < 0.001.Conversely, blocking of β3 integrin (MAB1976Z, Millipore
antibody) had no significant effect on plasma membrane tension compared
to control cells (Figure A,B), indicating that β3 integrin is dispensable for
this mechanism of membrane tension regulation. These results are consistent
with previous reports on the differential functions of β1 and
β3 integrins in cells adhesion and mechanosensing[40] and point toward a β1-dependent mechanotransduction
pathway.The small Rho-GTPase RhoA is an important molecular
switch central
to cellular mechanotransduction. β1 integrin has been shown
to regulate RhoA activity via focal adhesion kinase
(FAK) and phosphatidylinositol 3-kinase (PI3K), with integrin clustering
and substrate rigidity sensing leading to an increase in RhoA activation.[42−44] In turn, RhoA orchestrates the cell’s mechanical activity
by controlling both actomyosin contractility and F-actin polymerization via its downstream effectors, ROCK and mDia, respectively.
The β1 integrin/RhoA/ROCK pathway has been previously associated
with changes in membrane structure and tension via RhoA/ROCK-dependent actomyosin contractility.[45]Here, we decided to assess the role of RhoA in the
substrate rigidity-dependent
regulation of plasma membrane tension using used Flipper TR and FLIM.
On cells treated with the RhoA activator (Rho Activator I CN01-A)
we observed a significant increase in Flipper TR fluorescence lifetime
(Figure C,D) compared
to control cells—indicative of increased membrane tension.
Conversely, treatment with the RhoA inhibitor (Rho Inhibitor I CT04-A)
had no significant effect on the plasma membrane tension of cells
cultured on 4 kPa gels but resulted in a significant decrease in fluorescence
lifetime in cells cultured on 25 kPa gels. These results position
the β1 integrin/RhoA axis as a key mediator between substrate
rigidity and plasma membrane tension.
Substrate Rigidity and
Membrane Tension Regulate Caveolae formation
Since membrane
tension increases with matrix stiffness, we hypothesized
the existence of a negative feedback loop mechanism to alleviate membrane
tension in response to matrix stiffness sensing. Caveolae are flasklike
invaginations of the plasma membrane formed by caveolin-1 (CAV-1),
an ubiquitous scaffolding and structural protein associated with the
plasma membrane, the Golgi apparatus, and Golgi-derived transport
vesicles[46] that regulates vesicular transport.
Caveolae flattening is a rapid (<5 min) mechanism that increases
membrane surface area in response to membrane tension, which has been
observed in HeLa cells, with regulation of endocytosis and exocytosis
suggested as longer term regulators.[26] Increased
caveolin-1 activity has also been previously reported in response
to external stiffness, promoting intracellular signaling pathways
such as β1 integrin internalization[47] and YAP nuclear translocation.[32] These
studies suggest the possibility of caveolin-1 mediated caveolae trafficking
as a key response to matrix stiffness and membrane tension. As such,
we decided to analyze the presence of caveolae on cell membranes under
different substrate stiffness conditions.To count the number
of caveolae present on cell membranes, we used focused ion beam scanning
electron microscopy (FIB SEM) (Figure A), a technique that used an ion beam to section the
cell, enabling imaging of the internal microstructure in the vicinity
of the membrane. For slices of each cell, we counted the total number
of visible invaginations and normalized these values for the length
of the slice (Figure B). We observed that the presence of invaginations nearly doubled
on HSCs cultured on stiff (25 kPa) gels (around 2 per micron) compared
to HSCs on soft (4 kPa gels) gel (around 1 per micron). We also found
a slight increase in the diameter of these invaginations on HSCs cultured
on stiff gels compared to those on soft gels (Supplementary Figure S3).
Figure 3
Substrate stiffness and media osmotic
concentration affect caveolae
formation in hepatic stellate cells. (A) FIB SEM images of the plasma
membrane cross sections, red arrows mark caveolae, and (B) quantification
of the number of invaginations per μm of membrane cross-section
for the cells on 4 and 25 kPa polyacrylamide substrate. (C) Caveolin-1
expression area and (D) caveolae count per μm2 for
the cells on 4 and 25 kPa polyacrylamide substrates represented on
(E) caveolin-1 mCherry TIRF microscopy images. (F) FIB SEM images
of the plasma membrane cross sections, red arrows mark caveolae, and
(G) quantification of the number of invaginations per μm of
membrane cross-section for the cells subjected to isotonic and hypotonic
media. (H) Caveolin-1 expression area and (I) caveolae count per μm2 for the cells in isotonic and hypotonic media represented
on (J) Caveolin-1 mCherry TIRF microscopy images. Scale bar in (A)
and (F) represents 200 nm; scale bar in (E) and (J) represents 50
μm. Histogram bars represent mean ± s.e.m; dots represent
individual data points. Data are representative of seven sections
from three cells for each condition in (B) and 11 sections from three
cells for each condition in (G). Four experimental replicates for
(C) and (D). Eleven experimental replicates for (H) and (I). Ten cells
were analyzed for each replicate in (C), (D), (H), and (I). Markers
denote significant difference between groups by t test, ** 0.001 < p < 0.01, *** 0.0001 < p < 0.001.
Substrate stiffness and media osmotic
concentration affect caveolae
formation in hepatic stellate cells. (A) FIB SEM images of the plasma
membrane cross sections, red arrows mark caveolae, and (B) quantification
of the number of invaginations per μm of membrane cross-section
for the cells on 4 and 25 kPa polyacrylamide substrate. (C) Caveolin-1
expression area and (D) caveolae count per μm2 for
the cells on 4 and 25 kPa polyacrylamide substrates represented on
(E) caveolin-1 mCherry TIRF microscopy images. (F) FIB SEM images
of the plasma membrane cross sections, red arrows mark caveolae, and
(G) quantification of the number of invaginations per μm of
membrane cross-section for the cells subjected to isotonic and hypotonic
media. (H) Caveolin-1 expression area and (I) caveolae count per μm2 for the cells in isotonic and hypotonic media represented
on (J) Caveolin-1 mCherry TIRF microscopy images. Scale bar in (A)
and (F) represents 200 nm; scale bar in (E) and (J) represents 50
μm. Histogram bars represent mean ± s.e.m; dots represent
individual data points. Data are representative of seven sections
from three cells for each condition in (B) and 11 sections from three
cells for each condition in (G). Four experimental replicates for
(C) and (D). Eleven experimental replicates for (H) and (I). Ten cells
were analyzed for each replicate in (C), (D), (H), and (I). Markers
denote significant difference between groups by t test, ** 0.001 < p < 0.01, *** 0.0001 < p < 0.001.For further investigation,
we stained caveolin-1 and measured the
average vesicle size and density for cells on 4 and 25 kPa gels. (Figure C–E) We observed
that on softer gels vesicles were significantly smaller (0.48 ±
0.03 μm2) compared to cells on stiffer gels (0.79
± 0.03 μm2, mean ± s.e.m., n = 4) (Figure C)
and in lower quantity. Similarly, vesicle density increased from ∼0.036
μm–2 on soft gels to ∼0.055 μm–2 on stiff gels (Figure D).To determine the specific contribution of
membrane tension and
rule out substrate stiffness effects that occur independently, we
altered the tonicity of the solution. A hypotonic solution has a lower
concentration of solutes than an isotonic solution, leading to osmosis
of water into cells and an increased membrane tension. The use of
hypotonic media is an established approach for increasing membrane
tension in vitro.[48]Using FIB SEM
(Figure F), we observed
that the number of invaginations present on
cell membranes under hypotonic media (150 mOsm), i.e., high membrane tension, increases more than 2-fold compared to cells
in isotonic media, from around 2 to around 4.5 invaginations per micron
(Figure G). Likewise,
vesicle area and density were also higher in hypotonic media (Figure H-J) as analyzed
by total internal reflection fluorescence (TIRF) microscopy. TIRF
is an imaging technique that uses a high angle of incidence to selectively
illuminate a thin (∼100 nm) layer near the cell surface, enabling
the visualization of vesicles close to the membrane while eliminating
background signal. This indicates that membrane tension can independently
promote caveolae formation and is likely to act downstream of matrix
stiffness mechanosensing by β1 integrin/RhoA.
Plasma Membrane
Tension Regulates Exocytosis
We have
previously shown that substrate stiffness in 2D can upregulate the
expression of TIMP-1 in hepatic stellate cells (HSCs), the main effectors
of liver fibrosis,[16] thereby negatively
regulating ECM remodeling and contributing to the development of fibrosis.
However, this stiffness-dependent regulation was not associated with
changes in TIMP-1 mRNA expression,[16] prompting
us to investigate the mechanisms that regulate its secretion. It has
been previous reported that TIMP-1 can be secreted via vesicles incorporated into the plasma membrane during exocytosis,[17] and increased membrane tension has been previously
demonstrated to promote exocytosis in many cell lines; e.g., on fibroblasts it promotes MMP secretion,[49] while matrix stiffness has also been linked with the regulation
of clathrin-mediated endocytosis.[50] We
hypothesize that the stiffness-dependent regulation of TIMP-1[16] is mediated by a membrane tension-driven increase
in vesicular trafficking and exocytosis rate.Our previous results
demonstrate that substrate stiffness and the associated increase in
plasma membrane tension regulate caveolae formation. However, caveolin-1
and caveolae have been shown to participate in endocytosis, exocytosis,
and transcytosis.[51,24] To determine whether the increased
presence of caveolae at the cell membrane was associated with a positive
or negative feedback loop for membrane tension regulation, and to
assess its potential role in stiffness-dependent TIMP-1 regulation,
we set out to investigate the effects of membrane tension on the rate
of exocytosis of TIMP-1.To this end, we labeled both the RFP
plasma membrane (red) and
the intracellularly produced GFP TIMP-1 (green) in HSCs and identified
TIMP-1 positive vesicles as those where the two fluorophores colocalized
(Figure A and Figure S4). We then tracked these TIMP-1 positive
vesicles over their lifetime (1 frame per 10 s) in cells cultured
in isotonic or hypotonic media to determine the overall rate of exocytosis
(Figure B) and quantified
their lifetime. We observed that in hypotonic media, where membrane
tension is increased, the average vesicle lifetime (151 ± 8 s)
was significantly shorter than in isotonic media (272 ± 4 s,
mean ± s.e.m., n = 281, 403 for hypotonic and
isotonic, respectively), indicating that a faster rate of exocytosis
correlates with membrane tension (Figure D).
Figure 4
Hypotonic medium-induced plasma membrane tension
affects TIMP-1
trafficking in hepatic stellate cells (HSCs). (A) TIRF images of HSCs
on glass transfected with CellLight Plasma Membrane-RFP, TIMP-1 GFP,
and colocalized vesicles containing TIMP-1 for exocytosis analysis.
(B) Representative TIRF images for TIMP-1 containing vesicles for
isotonic and hypotonic medium used for quantification of TIMP-1 vesicle
lifetime. Each individual panel in (B) represents 10 s. (C) Representative
TIRF time-lapse kymographs of HSC TIMP-1 vesicles in (i) isotonic
and (ii) hypotonic conditions. TIMP-1 (D) vesicle lifetime, (E) vesicle
area, and (F) vesicle number per μm2 for the cells
in control isotonic, control hypotonic, siRNA scramble isotonic, siRNA
scramble hypotonic, caveolin-1 siRNA hypotonic, β1 integrin
blocking hypotonic, β3 integrin blocking hypotonic, and dynamin-2
siRNA hypotonic conditions. Scale bars represent (A) 20 μm,
(B) 500 nm, and (C) 10 μm. Scatter dot and histogram bars represent
mean ± s.e.m; dots represent individual vesicles (D, E) or cells
(F). Data are representative of n = 3 experimental
replicates. Markers denote significant difference from control isotonic
condition by one way ANOVA with Dunnett’s post hoc test, **
0.001 < p < 0.01, *** 0.0001 < p < 0.001, **** p < 0.0001.
Hypotonic medium-induced plasma membrane tension
affects TIMP-1
trafficking in hepatic stellate cells (HSCs). (A) TIRF images of HSCs
on glass transfected with CellLight Plasma Membrane-RFP, TIMP-1 GFP,
and colocalized vesicles containing TIMP-1 for exocytosis analysis.
(B) Representative TIRF images for TIMP-1 containing vesicles for
isotonic and hypotonic medium used for quantification of TIMP-1 vesicle
lifetime. Each individual panel in (B) represents 10 s. (C) Representative
TIRF time-lapse kymographs of HSC TIMP-1 vesicles in (i) isotonic
and (ii) hypotonic conditions. TIMP-1 (D) vesicle lifetime, (E) vesicle
area, and (F) vesicle number per μm2 for the cells
in control isotonic, control hypotonic, siRNA scramble isotonic, siRNA
scramble hypotonic, caveolin-1 siRNA hypotonic, β1 integrin
blocking hypotonic, β3 integrin blocking hypotonic, and dynamin-2
siRNA hypotonic conditions. Scale bars represent (A) 20 μm,
(B) 500 nm, and (C) 10 μm. Scatter dot and histogram bars represent
mean ± s.e.m; dots represent individual vesicles (D, E) or cells
(F). Data are representative of n = 3 experimental
replicates. Markers denote significant difference from control isotonic
condition by one way ANOVA with Dunnett’s post hoc test, **
0.001 < p < 0.01, *** 0.0001 < p < 0.001, **** p < 0.0001.The exocytosis rate was further visualized in a kymograph
(Figure C), where
each horizontal
line of pixels represents the cell membrane at a different time point
and time progresses vertically down. Slow exocytosis vesicles produce
long tracks, whereas faster exocytosis vesicles produce shorter tracks.
We also quantified vesicle area and count (normalized by area) for
TIMP-1 vesicles in hypotonic and isotonic media (Figure E,F) and observed a similar
trend, with cells displaying larger and more numerous vesicles in
hypotonic media (high membrane tension) compared to those in isotonic
media (low membrane tension).To ensure that the increase in
exocytosis was not due to an increase
in intracellular TIMP-1 production, we analyzed the expression of
TIMP-1 mRNA with qPCR. We observed that mRNA expression was the same
for both isotonic and hypotonic media (Figure S5), indicating that membrane tension, and not TIMP-1 expression,
underlies the increase in exocytosis rate.
Caveolin-1 and Dynamin-2
Are Required for Plasma Membrane Tension-Dependent
Regulation of TIMP-1 Exocytosis
To gain a mechanistic insight
into the membrane tension-driven increased rate of exocytosis, we
investigated caveolin-1 and dynamin-2, two proteins linked with membrane
mechanics and vesicular trafficking.[23,52] Caveolin-1
belongs to the caveolins family—proteins embedded in the cytosolic
leaflet of cell membranes, with both N and C termini residing in the
cytosol. They take part in protein exocytosis by first being inserted
into the membrane of endoplasmic reticulum, encasing the secreted
protein. They then form oligomeric complexes in the Golgi apparatus
and subsequently deliver the cargo through the plasma membrane.To elucidate the role of caveolin-1 in the regulation of TIMP-1 exocytosis,
we knocked down caveolin-1 using siRNA in HSCs (Figure S6) and subjected them to hypotonic media. Using TIRF
imaging (Figure ),
HSCs with caveolin-1 knockdown (siRNA) presented no difference in
the TIMP-1 secretory vesicle lifetime compared to control cells in
isotonic media (Figure D), indicating that TIMP-1 exocytosis is not responsive to membrane
tension in the absence of caveolin-1. Similarly, the secretory vesicle
size (Figure E) and
count (Figure F) for
HSCs treated with siRNA against caveolin-1 remained similar in hypotonic
media compared to control cells in isotonic media. Taken together,
these results indicate that caveolin-1 is required for the modulation
of TIMP-1 exocytosis by membrane tension and is therefore a key component
of the mechanisms of matrix stiffness-dependent TIMP-1 regulation.Next, we turned our attention to dynamin-2, another key protein
in vesicle trafficking and secretion. Of the three known isoforms
of dynamin, dynamin-2 is ubiquitously expressed, while dynamins-1
and -3 are differentially expressed in brain, lungs, and testis.[52] While dynamin-2 has been widely associated with
endocytosis due to its role in vesicle neck constriction and membrane
fission, it also participates in exocytosis, membrane fusion, and
trans Golgi network (TGN) vesicle formation.[52−54] In particular,
dynamin-2 mediates kiss-and-run exocytosis, a method of exocytosis
in which vesicle fusion with the plasma membrane is transient.[54] Similar to caveolin-1, siRNA was used to knock
down dynamin-2, and its effect on exocytosis was analyzed. Using TIRF
imaging, we observed that dynamin-2 knockdown abrogates the upregulation
of TIMP-1 exocytosis by hypotonic media (high membrane tension), resulting
in similar vesicle lifetime, size, and count compared to control cells
on isotonic media (Figure D–F). These results position dynamin-2 as a key element
of the pathway for membrane tension-dependent regulation of vesicle
trafficking along with caveolin-1.Consistent with our previous
results, β1 integrin blocking
was found to inhibit the effect of hypotonic media on TIMP-1 exocytosis
rate, resulting in reduced vesicle lifetime, size, and count, with
levels similar to control HSCs on isotonic media (Figure D–F). Conversely, blocking
of β3 integrin had no significant impact on the vesicle lifetime,
size, or count, indicating an exocytosis rate comparable to control
HSCs on hypotonic media. These findings indicate that β1 integrin
mechanosensing is not only required for the substrate stiffness-driven
changes in plasma membrane tension, but also for the effect of the
latter on membrane trafficking and exocytosis. Moreover, we observed
no changes in the expression of caveolin-1 in HSCs on hypotonic media
subjected to dynamin-2 knockdown or β1 or β3 integrin
blocking compared to HSCs on isotonic media (Figure S6), confirming that the observed differences in TIMP-1 secretion
originate from changes in plasma membrane tension.
TIMP-1 and
Caveolin-1 Are Upregulated in Cirrhosis and Hepatocellular
Carcinoma
Dysregulation of wound healing in the liver can
lead to fibrosis, a condition associated with most chronic liver diseases
and characterized by excessive ECM deposition and increase matrix
stiffness. Abnormal matrix remodeling in fibrosis can be attributed
to an imbalance between matrix metalloproteinases (MMPs), which degrade
ECM fibers, and their inhibitors (TIMPs).[10,11] Our findings here demonstrate that high substrate stiffness can
increase TIMP-1 exocytosis in HSCs (the main contributors to liver
fibrosis) in a caveolin-1 dependent manner through the regulation
of the plasma membrane tension. We hypothesize that this mechanistic
link between matrix stiffness and vesicular trafficking could be a
key driver in the development of fibrosis and HCC by creating a feedback
mechanism in which high matrix stiffness inhibits its own degradation via TIMP-1.To investigate whether this mechanism
of stiffness-dependent vesicular trafficking modulation is associated
with the development of chronic liver disease, we decided to assess
the differential expression of caveolin-1 and TIMP-1 in liver tissues
in health and disease. To this end, immunofluorescence was used to
analyze their expression in tissue microarrays (TMAs) containing liver
tissue samples derived from healthy donors as well as patients with
cirrhosis or hepatocellular carcinoma (HCC) at various stages (Figure A). Simultaneously,
we identified activated HSCs (myofibroblasts) in the tissue microarrays
as α-smooth muscle actin (α-SMA) positive cells, a widespread
marker for activated HSCs. Activated HSCs are responsible for matrix
remodeling and tumor desmoplasia, a key driver in the progression
of HCC.
Figure 5
Caveolin-1 and TIMP-1 are upregulated in cirrhosis and HCC. (A)
Representative epifluorescent images of human tissue caveolin-1 and
TIMP-1 immunostaining of healthy, cirrhotic, and HCC (hepatocellular
carcinoma) liver; protein of interest (red), alpha smooth muscle actin
(green) and nuclei (blue); scale bar is 20 μm. Quantification
of TIMP-1 (B), and caveolin-1 (C) immunofluorescence staining for
panel (A) (n = number of patients: 5 healthy, 21
cirrhosis, 19 HCC stage I and II, 26 HCC stage III A and B, 7 HCC
stage III C and IV A). Whiskers on box and whiskers graphs represent
minimum and maximum. Markers denote significant difference from healthy
condition by one-way ANOVA with Dunnett’s post hoc test, n.s.:
not significant, ** 0.001 < p < 0.01, *** 0.0001
< p < 0.001, **** p < 0.0001.
Caveolin-1 and TIMP-1 are upregulated in cirrhosis and HCC. (A)
Representative epifluorescent images of human tissue caveolin-1 and
TIMP-1 immunostaining of healthy, cirrhotic, and HCC (hepatocellular
carcinoma) liver; protein of interest (red), alpha smooth muscle actin
(green) and nuclei (blue); scale bar is 20 μm. Quantification
of TIMP-1 (B), and caveolin-1 (C) immunofluorescence staining for
panel (A) (n = number of patients: 5 healthy, 21
cirrhosis, 19 HCC stage I and II, 26 HCC stage III A and B, 7 HCC
stage III C and IV A). Whiskers on box and whiskers graphs represent
minimum and maximum. Markers denote significant difference from healthy
condition by one-way ANOVA with Dunnett’s post hoc test, n.s.:
not significant, ** 0.001 < p < 0.01, *** 0.0001
< p < 0.001, **** p < 0.0001.In healthy tissue samples, we found low expression
of either TIMP-1
or caveolin-1 as well as negligible presence of activated HSCs. Conversely,
cirrhotic tissues showed a 2-fold increase in the expression of TIMP-1
and a 3-fold increase in the expression of caveolin-1 relative to
healthy tissues as well as a marked abundance of activated HSCs (Figure B,C). In HCC tissue
samples, the increase in TIMP-1 and caveolin-1 expression was dependent
on the stage of the tumor, with early stages showing a 2-fold increase
in TIMP-1 and no significant difference in the expression of caveolin-1,
whereas late stages (IIIA and above) showed a 3-fold and a nearly
4-fold increase in TIMP-1 and caveolin-1 expression, respectively.
These results indicate that TIMP-1 and caveolin-1 are upregulated
in chronic liver diseases and that their expression correlates with
the progression of HCC.
Three-Dimensional Matrix Stiffness Recapitulates
TIMP-1 and
Caveolin-1 Overexpression in Hepatic Stellate Cells
Hepatic
stellate cells (HSCs) are involved in wound healing in response to
liver injury but can become dysregulated in HCC and promote desmoplasia
and tumorigenesis.[5,6] Given their central role in fibrosis,
cancer development, and matrix remodeling, HSCs are an ideal model
cell to investigate the upregulation of TIMP-1 and caveolin-1 in liver
disease. Since we have shown both proteins are upregulated in cirrhosis
and HCC, conditions associated with an increase in matrix stiffness,
we decided to investigate their expression in HSCs cultured in biomimetic
3D matrices with tunable stiffness.Self-assembling polypeptide
matrices are a family of biomaterials that rely on short, well-defined
amino acid sequences to form a hydrogel network. The short peptides
self-assemble into supramolecular structures via predictable interactions,
forming a fibrillar network with excellent biocompatibility, tunable
physicochemical properties, and high reproducibility.[55,56] This mechanism of in situ fabrication is also compatible
with cell encapsulation, enabling the formation of 3D cultures with
cells directly embedded in the matrix.[57]We selected two commercially available polypeptide hydrogels
of
different stiffnesses, gamma 2 and alpha 2 PeptiGels (Manchester BIOGEL).
We then measured their mechanical properties using oscillatory rheometry
under a frequency sweep (0.1–10% strain) as well as their elastic
modulus (Figure A,B)
and confirmed that their stiffness is similar to the nominal values
reported by the manufacturer for both gamma 2 (∼4 kPa) and
alpha 2 (∼10 kPa), which mimic the stiffness of healthy tissue
and liver fibrosis, respectively.
Figure 6
3D self-assembling peptide gels of high
fibrosis-mimicking stiffness
trigger upregulation of caveolin-1 and TIMP-1. (A) Average storage
modulus (G′) across 0.1–10% strain
sweep and (B) elastic modulus of PeptiGels calculated as E = 2 × G′ (1 + υ) where, υ
= Poisson’s ratio of 0.5. Histogram bars represent mean ±
s.e.m; dots represent individual data points. (C) Representative epifluorescent
images of hepatic stellate cells caveolin-1 and TIMP-1 immunostaining
of formalin fixed, paraffin embedded soft (4 kPa, gamma 2), and stiff
(10 kPa, alpha 2) 3D MBG PeptiGels; protein of interest (red), alpha
smooth muscle actin (green) and nuclei (blue), scale bar is 20 μm.
TIMP-1 (D) and caveolin-1 (E) immunofluorescence staining for panel
(C). TIMP-1 n = 13 and 11, caveolin-1 n = 14 and 18 for gamma 2 and alpha 2 respectively. Mean ± s.e.m.
Markers denote significant difference between gamma 2 and alpha 2
by t test, ** 0.001 < p <
0.01, **** p < 0.0001.
3D self-assembling peptide gels of high
fibrosis-mimicking stiffness
trigger upregulation of caveolin-1 and TIMP-1. (A) Average storage
modulus (G′) across 0.1–10% strain
sweep and (B) elastic modulus of PeptiGels calculated as E = 2 × G′ (1 + υ) where, υ
= Poisson’s ratio of 0.5. Histogram bars represent mean ±
s.e.m; dots represent individual data points. (C) Representative epifluorescent
images of hepatic stellate cells caveolin-1 and TIMP-1 immunostaining
of formalin fixed, paraffin embedded soft (4 kPa, gamma 2), and stiff
(10 kPa, alpha 2) 3D MBG PeptiGels; protein of interest (red), alpha
smooth muscle actin (green) and nuclei (blue), scale bar is 20 μm.
TIMP-1 (D) and caveolin-1 (E) immunofluorescence staining for panel
(C). TIMP-1 n = 13 and 11, caveolin-1 n = 14 and 18 for gamma 2 and alpha 2 respectively. Mean ± s.e.m.
Markers denote significant difference between gamma 2 and alpha 2
by t test, ** 0.001 < p <
0.01, **** p < 0.0001.To elucidate the role of substrate stiffness in the regulation
of TIMP-1 and caveolin-1, we encapsulated HSCs in alpha 2 and gamma
2 hydrogels and analyzed their expression via immunofluorescence.
We observed a ∼30% increase in TIMP-1 expression and a ∼70%
increase in caveolin-1 expression in stiff gels (alpha 2, 10 kPa)
compared to cells on soft gels (gamma 2, 4 kPa) (Figure C–E), consistent with
our previous results on the expression of TIMP-1 and caveolin-1 in
cirrhosis and HCC. Likewise, β1 integrin blocking impaired the
stiffness-dependent upregulation of TIMP-1 in HSCs cultured in 3D
matrices (Figure S7). These results indicate
that the HSCs cultured on 3D matrices of tunable stiffness can recapitulate
the upregulation of TIMP-1 and caveolin-1 observed in cirrhosis and
HCC and establish matrix rigidity as a key regulator of vesicular
transport (caveolin-1) and matrix remodeling (TIMP-1) in HSCs mediated
by changes in plasma membrane tension.The plasma membrane is
a complex biological structure that can
sense and adapt to changes in tension, osmotic pressure, and external
forces such as shear and compression.[20] The mechanisms of membrane tension regulation remain underexplored
but have gathered interest due its emerging roles in vesicle trafficking,
mechanosensing, motility, and division.[23,58] Recently,
the development of membrane tension probes, such as the FLIPPER-TR
used here, has enabled the characterization of the mechanical properties
of the plasma membrane and membrane-enclosed organelles,[36,59,60] providing insight into the role
of membrane tension and adaptation in vesicle trafficking[61] and organelle function.[62] In this study, we demonstrate that plasma membrane tension in HSCs
can be regulated by matrix stiffness via β1
integrin and RhoA-dependent mechanosensing. The increase in membrane
tension, in turn, promotes the formation of caveolae and the secretion
of TIMP-1 via caveolin-1 and dynamin-2 dependent
exocytosis (Figure ).
Figure 7
Stiffness-dependent regulation of exocytosis. High substrate stiffness
triggers a mechanosignaling cascade via β1
integrin and RhoA that increases plasma membrane tension. In response,
both caveolae formation and vesicle trafficking increase in order
to buffer the high membrane tension. This, in turn, promotes the exocytosis
of TIMP-1, preventing ECM degradation and maintaining the stiff environment.
Stiffness-dependent regulation of exocytosis. High substrate stiffness
triggers a mechanosignaling cascade via β1
integrin and RhoA that increases plasma membrane tension. In response,
both caveolae formation and vesicle trafficking increase in order
to buffer the high membrane tension. This, in turn, promotes the exocytosis
of TIMP-1, preventing ECM degradation and maintaining the stiff environment.Previous reports have shown that vesicular trafficking
is an important
modulator of membrane tension and that exocytosis upregulation leads
to a reduction in this tension by adding area to the membrane[21] and forcing water to leave the cells.[63] Our results indicate that membrane tension in
cells increases with matrix stiffness, suggesting the increase in
exocytosis rate may be a negative feedback mechanism to maintain membrane
tension homeostasis. Besides vesicular trafficking, cells employ other
strategies to regulate membrane tension, primarily by modulating the
actin cytoskeleton and cell shape.[63] Actin
contractility, known to be induced by matrix stiffness,[64] opposes actin protrusion at the cell cortex
and prevents further generation of tension by membrane extension.[34] While more work is needed to elucidate how matrix
stiffness controls membrane tension, our work provides a link between
mechanotransduction and intracellular vesicular transport, which could
play a role in the regulation of cell behavior by mechanosensing in
both health and disease.Here, we found that β1 integrin,
but not β3, is required
for the regulation of plasma membrane tension by substrate stiffness.
The role of β1 integrin and RhoA in mechanosensing, contractility,
and stress fiber formation is well established.[44,65] In turn, stress fiber assembly has been found to promote caveolae
flattening, either directly or indirectly by increasing membrane tension.[25] We also found that β1 integrin is required
for the modulation of vesicular trafficking in response to osmotic
pressure independently from substrate stiffness. Interestingly, rapid
caveolae flattening in response to osmotic swelling appears to be
actin-independent,[66] which suggests that
different mechanisms govern membrane tension adaptation over short
and long time-scales. β1 integrin has been proposed as an osmosensor,
which can be activated in response to changes in cell volume and hypotonic
stress.[67−69] It is therefore possible that β1 integrin plays
a dual role in regulating plasma membrane trafficking over different
time-scales and through different mechanical cues. In future work,
studying the role of other cell/ECM adhesion proteins, such as syndecan-4,[70] could provide further insight into the mechanical
regulation of membrane tension.The regulation of membrane trafficking
we observed here relies
on caveolin-1, a scaffolding protein associated with both endocytic
budding and exocytosis.[24] The role of caveolin-1
in cancer remains controversial; it is associated with the regulation
of vesicular transport in endocytosis, exocytosis, and transcytosis,[51,71] acting as either an oncogene or a tumor suppressor depending on
the type of tumor and its stage.[72] The
flattening of caveolae in response to high membrane tension is well
documented,[19,21] and caveolin-1 may also contribute
to tension buffering through exocytosis by facilitating budding from
the Golgi apparatus as well as fusion at the plasma membrane. Further
evidence suggests that caveolae and caveolin-1 may participate in
mechanotransduction: caveolae domains recruit and regulate RhoGTPases
such as RhoA,[73,74] mechanically gated ion channels,[75,76] and receptors such as Akt and ERK,[77,78] and caveolar
components such as EHD2 have been shown to translocate to the nucleus
and act as transcription factors upon caveolae flattening and disassembly.[79] This emerging role of caveolae as mechanotransduction
structures suggests that the link between mechanosensing and membrane
tension regulation may be more complex than previously thought.While the role of caveolin-1 in membrane tension adaptation is
well established, we found dynamin-2 to be likewise indispensable
for the mechano-adaptive response, particularly for the increase in
exocytosis rate in response to osmotic pressure. Dynamin-2 has been
classically associated with endocytosis, but it also mediates kiss-and-run
exocytosis,[54] which may enable rapid membrane
expansion in response to high tension. Its function in vesicle budding
from the TGN may also facilitate phospholipid shuttling to the plasma
membrane to buffer tension.[80] Moreover,
dynamin-2 can be regulated by the β1 integrin/RhoA axis to modulate
membrane area via endocytosis,[45] which highlights how mechanosignaling pathways may intersect
and regulate multiple vesicular transport mechanisms. This in turn
illustrates the need to consider how other proteins involved in vesicle
formation and trafficking may participate in the regulation of membrane
tension. For instance, the activity of clathrin, another scaffolding
protein typically associated with endocytosis, is sensitive to substrate
rigidity in fibroblasts, while other endocytic pathways are independent.[50] Clathrin may contribute to exocytosis and protein
secretion by facilitating the budding of vesicles from the trans Golgi
network[81] and has been shown to form mechanosensitive
signaling plaques[82] connected to actin
dynamics.[83]While we previously reported
a stiffness-dependent regulation of
TIMP-1,[16] this work sheds light on the
dysregulation of ECM remodeling in HSCs. We identify a mechanism by
which high matrix stiffness can upregulate TIMP-1 exocytosis, preventing
its own degradation[10] and producing a positive
feedback loop that maintains the fibrotic microenvironment in cirrhosis
and HCC. Notably, the membrane tension-dependent regulation of vesicular
transport is likely to affect the secretion rate of other proteins
and cytokines, promoting paracrine and autocrine signaling[84] in fibrosis, inflammation, and cancer. An increasing
body of evidence indicates that mechanical stimuli such as ECM stiffness
are key drivers of disease in a variety of organs, including the liver,
the cardiovascular system, and the lungs,[85] which has motivated the development of therapies that aim at remodeling
the microenvironment. Our groups recently showed that tamoxifen and
ATRA (all-trans retinoic acid) can induce mechanical quiescence in
cancer-associated fibroblasts by modulating mechanosensing and contractility.[14,64,86−88] In this context,
our work offers insights into the mechanisms that foster the development
and maintenance of fibrosis and cancer as well as opportunities to
modulate ECM remodeling by targeting membrane tension and vesicular
trafficking.
Conclusion
In this study, we identify
a mechanism through which high substrate
stiffness promotes vesicle trafficking and exocytosis by upregulating
membrane tension via β1 integrin/RhoA-dependent
mechanosensing. In response to the increase in tension, caveolae formation
and vesicle trafficking act to buffer the membrane, driving the exocytosis
of TIMP-1 in a caveolin-1-dependent manner. This expands on our previous
findings regarding the stiffness-dependent regulation of TIMP-1 expression
in HSCs[16] and presents plasma membrane
tension as a key mediator between mechanosignaling and exocytosis.This work highlights the importance of the plasma membrane tension
and its intersection with mechanotransduction. We have demonstrated
that the upregulation of caveolin-1, a key element in the regulation
of membrane tension, is relevant in cirrhosis and hepatocellular carcinoma,
and can be recapitulated in fibrosis-mimicking 3D constructs. In light
of these results, modulating plasma membrane tension could become
an important therapeutic strategy in the treatment of chronic liver
disease.
Methods
2D Cell Culture
Primary culture-activated human hepatic
stellate cells (passage 3–6, HHStec no. 5300-ScienCell) were
cultured at 37 °C, 5% CO2 in culture medium containing
DMEM/Nutrient Mixture F-12 Ham (D8437, Sigma), 10% FBS (10270–106,
Gibco), 1% penicillin/streptomycin (Gibco), and 1% fungizone (15290-026,
Gibco). For the AFM and TIRF microscopy experiments, HSCs were detached
from culture flasks with trypsin and seeded on fibronectin coated
(10 μg mL–1; Sigma) 35 mm with 14 mm glass
bottom dishes (P35G-1.5-14-C, MatTek) or fibronectin-coated polyacrylamide
gels with different rigidities and transfected. For the isotonic and
hypotonic media experiments, standard culture medium (DMEM 10%FBS)
was used as the former and 0.5× DMEM 10% FBS in distilled water
was used as the latter (150 mOsm). For TIRF plasma membrane visualization,
cells were transfected with CellLight Plasma Membrane-RFP, BacMam
2.0 (C10608, ThermoFisher) according to the standard manufacturer’s
protocol. For the plasmid requiring experiments, cells were transfected
with 2 μg of TIMP-1-GFP (RG201548, OriGene) cDNA using Lipofectamine
3000 (L3000001, Thermo Fisher Scientific) according to the manufacturer’s
protocol. For the gene-silencing experiments, cells were transfected
with 7.5 pmol of scramble control siRNA-A (sc-37007, Santa Cruz Biotechnology),
caveolin-1 siRNA (sc-29241, Santa Cruz Biotechnology), and dynamin-2
siRNA (sc-35236, Santa Cruz Biotechnology) using Lipofectamine 3000
(L3000001, Thermo Fisher Scientific) according to the manufacturer’s
protocol. Cell surface β1 and β3 integrins were blocked
by pretreating the cell suspension for 10 min with 10 μg/mL
of anti-β1 integrin (552828, BD Biosciences) or 10 μg/mL
of anti-αVβ3 integrin (MAB1976Z, Millipore) blocking antibodies,
respectively, prior to seeding and providing 10 μg/mL of antibodies
during the course of experiment.
Immunofluorescence
Immunofluorescent staining of liver
biopsies was carried out on a formalin fixed paraffin embedded TMA-tissue
microarray (cat. BC03117, US Biomax) of samples obtained from five
healthy, 21 cirrhosis, 19 HCC stage I and II, 26 HCC stage III A and
B, and 7 HCC stage III C and IV A patients. 3D PeptiGels embedded
in agarose were dehydrated, cleared, and embedded in paraffin using
the protocol described previously.[89] PeptiGel
samples were then sectioned at 5 μm using microtome. For TIMP-1,
caveolin-1 and alpha smooth muscle staining TMA and hydrogel sections
on glass slides were baked for 15 min at 50 °C, deparaffinized
for 2 × 5 min in HistoClear (HS-200, National Diagnostics), and
rehydrated in decreasing concentrations of ethanol in water (99%,
80%, 70%, and 50%) 3 min each. Antigen retrieval was performed by
incubating the sections in boiling citrate buffer (pH 6) for 45 min
and cooled to room temperature for 25 min. TIMP-1 antibody (MA5-13688,
Thermo Fisher Scientific, 1/100), caveolin-1 antibody (15895439, BD
Bioscience, 1/100), alpha smooth muscle actin antibody (ab5694abcam,
1/100), secondary goat antirabbit AlexaFluor 488 (A11034, Thermo Fisher
Scientific, 1/200), and goat antimouse AlexaFluor 546 (A11030 Thermo
Fisher Scientific, 1/200, 1/200) were used following the abcam TBS
based staining protocol (https://www.abcam.com/protocols/immunostaining-paraffin-frozen-free-floating-protocol). Finally, coverslips were mounted in mounting reagent with 4,6-diamidino-2-phenylindole
(Invitrogen, P36931). Widefield fluorescent images were taken with
a Nikon Ti-e Inverted Microscope (Ti Eclipse, C-LHGFI HG Lamp, CFI
Plan Fluor 40 × NA 0.6 air objective; Nikon; Neo sCMOS camera;
Andor) with NIS elements AR software. Staining intensity was measured
in Fiji[90] using the “mean grey value”
parameter applied to a region of interest (ROI) created for regions
with positive alpha smooth muscle staining. Mean gray values for each
image’s background were subtracted for each measured staining
intensity.
Polyacrylamide Substrate Fabrication
Coverslips for
the TIRF and AFM experiments and glass bottom fluorodishes (P35G-1.5-14-C,
MatTek) for the FLIM and confocal microscopy experiments were covered
with 3-(trimethoxysilyl)propyl methacrylate (440159, Sigma) and incubated
at room temperature for 5 min, wiped with a sterile, lint-free tissue,
washed in dH2O, and left to dry at room temperature. Polyacrylamide
gels of 4, 12, and 25 kPa mimicking healthy and fibrotic liver stiffnesses[35] were prepared according to the protocol adapted
from Wen et al..(91) Gel
stiffness was varied by adding 29:1 acrylamide/bis-acrylamide to a
final concentration ranging from 4.7 to 10%. A working solution of
PBS, acrylamide/bis-acrylamide (29:1) 40% vol (A7802,
Sigma), TEMED (T9281, Sigma), and 10% ammonium persulfate was mixed
at concentrations to achieve varying levels of gel stiffness. A small
drop of this working solution was applied to activated coverslips
which were placed face down on hydrophobic, dichlorodimethylsilane
(440272, Sigma)-treated glass microscope slides and left to polymerize
at room temperature for 45 min. Gel-coated coverslips were removed
and stored in PBS at 4 °C.To allow polyacrylamide gels
to be coated with ECM proteins, gels were functionalized to promote
NHS groups. For functionalization, polyacrylamide gels were washed
with PBS and coated with 50 μL of Sulfo-SANPAH (sulfosuccinimidyl
6-(4′-azido-2′-nitrophenylamino)hexanoate) (803332,
Sigma) (5 mg/mL, PBS) solution per coverslip and activated with UV
light for 10 min. Polyacrylamide gels were washed with PBS, coated
with human plasma fibronectin (F8095, Sigma) (10 μg/mL, PBS),
and incubated for 1.5 h at room temperature. Gels were washed once
with PBS and cells were seeded on gels in culture medium.
Quantitative
PCR
Total RNA was extracted from cells
cultured on polyacrylamide gels for 24 h with an RNeasy Mini Kit (74104,
Qiagen). The RNA template was reverse transcribed into cDNA using
a High-Capacity RNA-to-cDNA kit (4387406, Thermo-Fisher) according
to the manufacturer’s instructions. Quantitative real-time
PCR was performed on a StepOne Plus Real-Time PCR system (Applied
Biosystems) using SYBR Green PCR Master Mix(4309155, Thermo-Fisher).
The relative gene expression was analyzed by a comparative 2-ΔΔCt
method. Primer sequences were as followed: TIMP-1 (F) TCAACCAGACCACCTTATACCA,
(R) ATCCGCAGACACTCCAT; GAPDH (F) ACAGTTGCCATGTAGACC,
(R) TTTTTGGTTGAGCACAGG; CAV-1 (F) CCAAGGAGATCGACCTGGTCAA,
(R) GCCGTCAAAACTGTGTGTCCCT.
Focused Ion
Beam Scanning Electron Microscopy
Sample
preparation and microscopy were based on previously published methods.[92] Sample fixation of cells on polyacrylamide on
glass coverslips or fibronectin coated glass coverslips was performed
at room temperature for 15 min using a 4% v/v formaldehyde (Sigma,
BioReagent, ≥ 36.0%) with 0.2% v/v glutaraldehyde (Electron
Microscopy Sciences) solution in PBS. Washing the samples three times
with cacodilate buffer (Electron Microscopy Sciences) was followed
with osmication with osmium tetroxide in 2% w/v cacodilate buffer
for 30 min. Then samples were washed five times with deionized water
and dehydrated through a graded ethanol (Sigma, ACS reagent 99.5%)
series. Samples were incubated in a diluted series of ethanol–Epon
Resin (Electron Microscopy Sciences) at a 3:1, 2:1, and 1:1 ratio
for 1 h each and then overnight at a 1:2 ratio. After overnight incubation
with pure resin, the maximum amount of resin was removed and the samples
were immediately placed in an oven at 60 °C and left to cure
overnight. Then samples were placed on a SEM aluminum sample holder
with carbon tape, and silver paint was applied to the surrounding
area of the sample to maximize conductivity. Afterward, sputter coater
(QuorumTechnologies model K575X) was used to coat the samples with
5 nm layer of chromium. Following the coating procedure, samples were
introduced into an SEM/focused ion beam (Carl Zeiss, Auriga) with
gallium ion beam operated at 30 kV. A region over the cells with approximately
15 × 5 × 2 μm (length × height × depth)
was milled using 4 nA current. After that, the region exposed by the
first milling was polished with 240 pA current and imaged by a backscattering
detector with the electron beam operating at 1.5 V. The obtained data
set was reconstructed using MATLAB to obtain high-resolution micrographs.
The number of invaginations per length of the membrane cross-section
was calculated using the ImageJ software.
Atomic Force Microscopy
For AFM study, cell seeded
polyacrylamide gels on coverslips were lifted from 24-well plates
prior to measurement and immediately attached to a Petri dish with
a droplet of cyanoacrylate adhesive, applied with a 10 μL pipet
tip. After coverslip attachment (∼1 min), 100 μL of culture
medium (DMEM 10% FBS) was applied to the coverslip in order for the
AFM measurements of cells to be conducted as soon as possible (<1
h). Measurements of HSCs on polyacrylamide gels were conducted on
a JPK Nanowizard-1 (JPK instruments) AFM operating in force spectroscopy
mode, mounted upon an inverted optical microscope (IX-81, Olympus).
AFM pyramidal cantilevers (MLCT, Bruker) with a spring constant of
0.03 N/m were used. Before conducting measurements, cantilever sensitivity
was calculated by measuring the force–distance slope in the
AFM software on an empty Petri dish region. For cell indentation measurements
the cantilever was aligned over a central region of a cell using a
20× objective and the optical microscope. For each cell 3–5
force curves were acquired at an approach speed of 2 μm/s and
a maximum set point of 0.1 V to ensure that the cantilever only probed
the cell membrane. The force–distance curves were used to calculate
elastic moduli in the AFM software through the application of the
Hertz contact model.[93]
Fluorescence
Lifetime Imaging Microscopy
HSC cells
were plated on the polyacrylamide-coated fluorodishes 24 h prior to
the experiment. Culture media-diluted 2.0 μg/mL Rho Inhibitor
I (CT04-A, Cytoskeleton) or 5 μL/ml RhoA Activator I (CN01-A,
Cytoskeleton) were added to the cells on the gels for 3 h or 15 min,
respectively, before the measurements. In order to fluorescently tag
the cell membrane for the fluorescence lifetime imaging (FLIM) 1.5
μM FLIPPER-TR (cy-sc020, Cytoskeleton) was added to the cells
5 min before the experiment.Microscopy was carried out using
a Leica SP5 multiphoton inverted microscope (FLIM PMT detector and
Becker & Hickl SPC-830 constant fraction discriminator) with a
488 nm pulsed laser for excitation, and photons were collected through
a 600/50 nm bandpass filter. To extract lifetime information, accumulated
1 min acquisition high photon count histograms for single cells were
fitted with a double exponential. Two decay times, τ1 and τ2,
were extracted. The longest lifetime with the higher fit amplitude
τ1 was used to report membrane tension. A longer lifetime means
more tension in the membrane.[36] Data were
analyzed using FLIMFIT software.[94]
Total
Internal Reflection Fluorescence Microscopy
For
total internal reflection fluorescence (TIRF) microscopy, cells were
cultured and transfected in glass bottom Petri dishes with or without
polyacrylamide gels to ensure high resolution and signal-to-noise.
Prior to measurements, cell culture medium was changed for clear cell
medium to reduce autofluorescence from the cell medium. Images of
transfected cells were obtained with an inverted microscope (Eclipse
Ti; Nikon) operating in TIRF mode, under ambient temperature conditions
of 37 °C. Multiwavelength time lapse TIRF imaging was performed
with a 63× oil immersion objective (1.3 NA, Nikon), a 488 nm
diode laser, and a 561 nm diode laser for excitation coupled with
emission filters 525/50 nm and 600/50 nm, respectively. Time lapse
images were recorded at 0.1 Hz using a sCMOS camera (Neo, Andor) combined
with the NIS elements (Nikon) control software to facilitate two color
imaging across multiple regions. To minimize drift in the focus across
time and multiple regions, the perfect focus system (Nikon) was used
to maintain axial focus. Measurements of hypotonic conditions followed
the above imaging protocol directly after the culture medium was changed
to hypotonic medium.TIRF image sequences were analyzed in ImageJ
using the bleaching correction plugin to allow visualization of vesicles
throughout the sequence. The coloc2 plugin was used to visualize caveolin-1
and TIMP-1 containing vesicles for analysis and vesicles were tracked
using TrackMate plugin[95] from formation
to disappearance from the focal plane and, thus, emission into the
surrounding medium. The kymography plugin was used to create the kymographs.
Tissue Microarrays
Liver tissues microarrays were obtained
from US Biomax, Inc., Derwood, MD (catalogue number BC03117), containing
48 cases of hepatocellular carcinoma, 5 liver cholangiocellular carcinoma,
22 liver cirrhosis, and 5 normal hepatic tissue, single core per case.
Tissue samples were fixed in 10% neutral formalin for 24 h, dehydrated
with gradient ethanol, cleared with xylene, and embedded in paraffin.
Afterward, each slide was tested by Biomax for immunohistochemistry
on one antibody specific to the tissue used in the array. 1.5 mm in
diameter cores were composed into a microarray, cut into 5 μm
sections by the company and baked for 30 min at 55 °C before
immunostaining.
3D Cell Culture
Hepatic stellate
cells were cultured
and expanded as described for 2D cultures. After reaching 70%, confluency
cells were harvested, centrifuged, and resuspended in fresh cell culture
media. Twenty microliters of cell suspension was mixed with prewarmed
(37 °C for 30 min) hydrogels gamma 2 and alpha 2 (PeptiGels,
Manchester BIOGEL) (100 μL of each, final cell concentration
2 × 106/mL). Subsequently, the gels were pipetted
onto a prewetted 6.5 mm, 3.0 μm pore Transwell polycarbonate
membrane insert (3415, Corning) and incubated in cell culture media
for 1 h to set the gels. Following initial incubation, the samples
were cultured for 7 days with media replaced every 24 h. At the end
of the experiment, gels were fixed in 4% paraformaldehyde for 30 min
at room temperature, washed in PBS, and embedded in 2% low melting
point agarose (cat. 16520050, Thermo Fisher Scientific) in PBS.Gel viscoelasticity analysis was performed on unfixed, acellular
gels prepared using the protocol for cell-containing gels. Sample
measurements were done at 37 °C using TA Instruments AR2000ex
rheometer with a flat, stainless-steel cylinder. The elastic modulus
(E) was calculated as E = 2G′(1 + υ) where υ = Poisson’s
ratio of 0.5 and G′ is the average storage
modulus across the 0.1–10% strain sweep.
Statistical
Analysis
All statistical analyses were
conducted with Prism software (version 8, GraphPad). Data were collected
from multiple repeats of different biological experiments or different
patients to obtain the mean values and s.e.m. displayed throughout.
P values have been obtained through t tests on unpaired
samples with parametric tests used for data with a normal distribution.
ANOVA and post hoc Dunnett’s test were used to perform multiple
comparison test on normally distributed data. Significance was set
at P < 0.05 where graphs show significance through
symbols (*0.01 < P < 0.05; **0.001 < P < 0.01; ***0.0001 < P < 0.001;
****P < 0.0001).
Authors: Johannes Schindelin; Ignacio Arganda-Carreras; Erwin Frise; Verena Kaynig; Mark Longair; Tobias Pietzsch; Stephan Preibisch; Curtis Rueden; Stephan Saalfeld; Benjamin Schmid; Jean-Yves Tinevez; Daniel James White; Volker Hartenstein; Kevin Eliceiri; Pavel Tomancak; Albert Cardona Journal: Nat Methods Date: 2012-06-28 Impact factor: 28.547
Authors: Jean-Yves Tinevez; Nick Perry; Johannes Schindelin; Genevieve M Hoopes; Gregory D Reynolds; Emmanuel Laplantine; Sebastian Y Bednarek; Spencer L Shorte; Kevin W Eliceiri Journal: Methods Date: 2016-10-03 Impact factor: 3.608
Authors: Roberto Moreno-Vicente; Dácil María Pavón; Inés Martín-Padura; Mauro Català-Montoro; Alberto Díez-Sánchez; Antonio Quílez-Álvarez; Juan Antonio López; Miguel Sánchez-Álvarez; Jesús Vázquez; Raffaele Strippoli; Miguel A Del Pozo Journal: Cell Rep Date: 2018-11-06 Impact factor: 9.423
Authors: Helen C Clough; Marie O'Brien; Xinyi Zhu; Aline F Miller; Alberto Saiani; Olga Tsigkou Journal: Mater Sci Eng C Mater Biol Appl Date: 2021-05-21 Impact factor: 7.328