Brenda
Farrell
*a,
Feng
Qian
bc,
Anatoly
Kolomeisky
d,
Bahman
Anvari
e and
William E.
Brownell
a
aBobby R Alford Department of Otolaryngology – Head & Neck Surgery, Baylor College of Medicine, Houston, TX 77030, USA. E-mail: bfarrell@bcm.edu; brownell@bcm.edu
bDepartment of Bioengineering, Rice University, Houston, TX 77005, USA
cMicroscan Systems, Seattle, WA 98057, USA. E-mail: fengqian@hotmail.com
dDepartment of Chemistry, Rice University, Houston, TX 77005, USA. E-mail: tolya@rice.edu
eDepartment of Bioengineering, University of California, Riverside, Riverside, CA 92521. E-mail: anvarib@ucr.edu
First published on 5th October 2012
Cancer cells become mobile by remodelling their cytoskeleton to form migratory structures. This transformation is dominated by actin assembly and disassembly (polymerisation and depolymerisation) in the cytoplasm. Synthesis of filamentous actin produces a force at the leading edge that pushes the plasma membrane forward. We describe an assay to measure the restoring force of the membrane in response to forces generated within the cytoplasm adjacent to the membrane. A laser trap is used to form a long membrane nanotube from a living cell and to measure the axial membrane force at the end of the tube. When the tube, resembling a filopodium, is formed and in a relaxed state the axial membrane force exhibits a positive stationary value. This value reflects the influence of the cytoskeleton that acts to pull the tube back to the cell. A dynamic sawtooth force that rides upon the stationary value is also observed. This force is sensitive to a toxin that affects actin assembly and disassembly, but not affected by agents that influence microtubules and myosin light chain kinase. We deduce from the magnitude and characteristics of dynamic force measurements that it originates from depolymerisation and polymerisation of F-actin. The on- and off-rates, the number of working filaments, and the force per filament (2.5 pN) are determined. We suggest the force-dependent transitions are thermodynamically uncoupled as both the on- and off-rates decrease exponentially with a compressive load. We propose kinetic schemes that require attachment of actin filaments to the membrane during depolymerisation. This demonstrates that actin kinetics can be monitored in a living cell by measuring force at the membrane, and used to probe the mobility of cells including cancer cells.
Insight, innovation, integrationThe magnitude and time course of the pushing force resulting from actin polymerisation is measured in a cell by monitoring the restoring force of the plasma membrane at the end of a nanotube that resembles a filopodium. An oppositely directed pulling force associated with depolymerisation is also detected at the membrane suggesting the filaments in the tube are not always treadmilling. The reaction exhibits elaborate kinetics in cells compared to isolated filaments as the pathway for assembly is different from disassembly under a compressive load. |
![]() | (1) |
In cells, the fast growing barbed end of the filament points towards the plasma membrane. For an F-actin bundle enclosed by a membrane tube as found in filopodium the membrane axial force, F will act to restore the polymerisation force13 and the depolymerisation force will act in the same direction as F, then for a change in the membrane axial force, ΔF we write
ΔF = −f, {c > co} |
ΔF = f, {c < co} |
ΔF = 0, {c ≡ co}. | (2) |
Eqn (1) and (2) predict that depolymerisation of F-actin if attached to the membrane11,12 could pull the membrane axially whereas polymerisation of monomeric actin would push the membrane (Fig. 1a). The expressions suggest the magnitude of the actin-based force can be obtained upon measuring ΔF. The impediment is to develop an assay to demonstrate that the plasma membrane can monitor actin kinetics within a living cell.
![]() | ||
Fig. 1 (a) Pushing force as a result of polymerisation causes a more negative membrane force, F (upper panel), while pulling force as a result of depolymerisation causes a more positive, F (lower panel). (b) Optically trapped bead attached to membrane tube of length L and filled with F-actin (noted by magenta). The direction of the axial membrane force, F is positive. Bright-field images of membrane tubes formed from cell. Images were obtained at the end of tube elongation (image on left) and when the stationary force (image on right) was monitored (ESI,† Movie S1). |
Recently Pontes and colleagues22 show that F-actin filled membrane tubes (∼10–15 μm in length) form from cultured fibroblasts by use of laser tweezers, where an optically trapped bead is used as a handle to manipulate the membrane of cells.23,24 They use confocal microscopy to reveal F-actin has grown within the membrane tubes.22 This observation is in agreement with earlier studies with neutrophils where it was suggested that F-actin may form in the tube25 and a second study which shows that F-actin can grow to form arrays within the tube.26 Specifically, polymerisation of actin was observed within the lumen of tubes formed from neutrophils. This polymerisation occurred up to lengths of 10–20 μm and at a rate of 0.07 μm s−1 upon applying a significant local stress (>600 Pa) to the cell. This force was suggested to originate from cell contraction.26
We form membrane tubes (15–40 μm in length) from a living cell with laser tweezers. We also suggest that F-actin grows within the tubes. This is deduced from the characteristics of the axial membrane force when it relaxes to a stationary value. It is during this phase that we observe a dynamic sawtooth force riding upon the stationary value. This dynamic force has a different magnitude and time course to that observed for cell contraction26 and we reason that it originates from actin polymerisation and depolymerisation (Fig. 1). By monitoring the change in magnitude of the stationary-axial membrane force (ΔF) with laser tweezers and the time course of ΔF we uncover the magnitude of f and characteristics of the rates under a compressive load.
![]() | ||
Fig. 2 Stationary force is independent of tether length with and without cytochalasin E in the bath. (a) Stationary force for tubes of all lengths under control (white, N: 60) and in presence of cytochalasin E (lavender, N: 33). (b) Force measured at end of tube elongation. In presence of cytochalasin E the force exhibits a single distribution (N: 30). Solid black (control) and red (cytochalasin E) are normal probability distribution functions. (c) Force measured during relaxation in presence of cytochalasin E. The stationary values are 3.7 ± 0.9 pN (grey) and 6.2 ± 1.0 pN (black). The force measured at zero time represents the force at the end of tube elongation. |
Under control conditions the classical expressions29 may not be valid because of evidence of F-actin growth within the tube. This was apparent due to tube shape (Fig. 1b, see ESI,† Movie S1). It was also evident when we removed the trap, and monitored collapse of the tube back to the cell. The rate of tube collapse was faster under control conditions (ESI,† Movie S4, Fig. S3) compared to the case when the actin cortex of the cell was disrupted (ESI,† Movie S2 and S3). We were able to measure the collapse rate for some events and found it to decrease with time. At 1 second it was about 9 and 4 μm s−1 for control and cytochalasin E treated cells (ESI,† Fig. S3 long tubes, 40 μm). Similar differences were observed for shorter tubes (15 μm) where the rate of retraction was ∼2 μm s−1 for control and 0.6 μm s−1 in presence of cytochalasin E. Indeed, for shorter tubes and when cortical actin was disrupted the tube–bead assembly appeared to drift back to the cell (ESI,† Fig. S3, lower panel, Movie S2) clearly indicating a diminished cortical-actin effect compared to the control. The third observation that suggests F-actin was forming in the tube was the presence of a dynamic force riding upon the stationary value (Fig. 3a). We describe a sawtooth transient of the dynamic force as this was the most apparent and clearly repeated pattern in the time series data.
![]() | ||
Fig. 3 Dynamic sawtooth force rides on top of the stationary value. (a) Analysis of sawtooths, bottom panel shows the j-slope calculated with 0.5 (500 points, ash), 1.0 (1000 points, green) and 1.5 (1500 points, orange) seconds of data. Five significant decay events (grey) are evident. The arrows indicate a decrease in force before the onset of rise. Dark green lines represent recorded data (1 pt ms−1) and light green lines 1 pt 100 ms−1 of the recorded data. (b) Third sawtooth and j-slope determined during the rise. The grey line represents the time course of rise (13 seconds) determined from j-slope (green). Tube was 15 μm in length. Time is measured relative to end of tube elongation. |
The smallest change in the force during the rise is shown in Fig. 4a; the mean change in the force is 3 ± 0.7 pN. To determine the time course we calculate the j-slope (Fig. 4, bottom panels). The slope increases reaching a maximum and then decreases to reach a value less than zero, and hovers at a stationary state for 2 seconds. The lifetime of the event, Δt was 4 s. Three other mean rise events are shown (Fig. 4b, right panel) with their corresponding j-slopes.
![]() | ||
Fig. 4 Rate of rise depends upon the force. (a) Smallest change in force during the rise (N: 41). The onset of the rise was determined from the c-slope (orange line bottom panel) where t ≈ 0 is defined as the time when the c-slope begins its final rise. Δt is the time the j-slope (green, bottom panel) remained positive after the onset of rise, each point was calculated with 250 ms of data. (b) Three rise-events (upper panel) and their corresponding j-slopes (bottom panel). ΔF 5.7 ± 0.92 pN (N: 27, 500 ms, Δt: 8 s), 10.8 ± 1.07 pN (N: 19, 500 ms, Δt: 9.2 s) and 25.4 ± 2.2 pN (N: 4, 1000 ms, Δt: 17 s). |
We performed similar analysis when we analyzed the decay of the sawtooth. However, in contrast to the rise we observed two different events during the decay that are discriminated by their rate. There is a step-like decay with ΔF between 2–19 pN and Δt up to 38 ms (Fig. 5a and b), and a slower decay which starts like a step but exhibits a slower decay back to the stationary value (Fig. 5e and f). ΔF for this slower phase ranged from 5 to 52 pN with Δt up to 670 ms. Events with a time course between the two extremes were also observed. We calculated the c-slope to determine the onset of the decay (Fig. 5c) and the j-slope to determine Δt (Fig. 5d) and averaged events with similar Δt and ΔF.
![]() | ||
Fig. 5 The rate of decay depends upon the force and exhibits a fast (a–d) and slow (e–f) time course. (a) Fastest and smallest decay average of 24 events. (b) Five fastest decay events. (c) The c-slope for decay shown in a. (d) j-slopes for the smallest (open circles) and largest (closed circles) events shown in b. (e) Six slowest decay events and (f) corresponding j-slope for one of them, Δt: 489 ms average of 3 events. |
![]() | (3) |
![]() | ||
Fig. 6 The rate of rise (a) and decay (b) decreases exponentially with magnitude of ΔF. (a) Open symbols are events under control conditions (circles, N: 71), in presence of 2–20 μM ML-7 (squares, N: 44) and 10 μM nocodazole (diamonds, N: 18). There is no difference between control and treatments (P >0.8). The solid circles represent average of all events (control and treatments) that exhibit the same force and time course. The solid line is best fit of all events to eqn (3). The dashed grey lines are the confidence interval of the estimates. The j-slope was determined with up to 500 ms of data for events ΔF < 20 pN and with 1 s of data for events ΔF > 20 pN. (b) The solid circles represent the average decay for the fast (upper N: 41) and slower (lower N: 18) events. The open symbols represent events in-between the two extremes (N: 19). The j-slope was calculated with 5 and 8 ms of data for fast events and with 30 ms of data for the slow events. The blue (fast) and green (slow) lines are best-fit of data to eqn (4). The black line is average fit, (see ESI,† Table S1). |
A plot of the rate of decay (1/Δt) versus |ΔF| for the fastest and slowest events is shown in Fig. 6b. The rate decreases exponentially with ΔF to exhibit a constant of −0.066 pN−1 (Fig. 6b, blue) and 0.0254 pN−1 (Fig. 6b, green). We write the decay rate, kp in terms of the change in the membrane axial force −ΔF with
![]() | (4) |
ΔF = Ffn − Fin = −nif, {c > c0} |
ΔF = Ffn − Fin = nif, {c < c0} | (5) |
![]() | ||
Fig. 7 The force is discrete with a mean value of 2.5 pN where 8 objects work cooperatively. (a) The initial and final stationary values for single events (e.g.Fig. 4b) where the circles and squares represent rise and decay. The data was grouped according to the mean ΔF. The solid dashed lines represent the best fit to linear relationship (P-values for slope and intercept always >0.001). (b) The number of working objects, ni decreases exponentially with the probability, ρi. The blue line is fit to an exponential function (see inset) (p-values >0.001). The two decay events that exhibit value >9 were not included in fit. The dashed lines are confidence intervals of the fit. Circles and squares represent rise and decay events. |
The data exhibits several straight lines with a slope close to 1 and an intercept that depends upon the magnitude of the step. This suggests F increases by stepping up and decreases by stepping down by a common difference of ∼2.5 pN like an arithmetical progression. Because the common difference is the same as the initial value, the magnitude of the intercepts at 2.5, 5, 7.5, 10, 12.5, 15 pN reflect a series {a, 2a, 3a, 4a, 5a, 6a…} where the leading integer is a function of the number of force-bearing objects. The maximum leading integer for the events shown in Fig. 7a is six, suggesting the maximum number of working objects is six.
We also estimate the number of working objects by counting the number of events detected within the same force range. The number of working objects is calculated assuming one object is equivalent to 2.5 pN (i.e., ni ≡ ΔF/2.5). We find the probability of observing an event depends upon the magnitude of ΔF. The greater the magnitude the lower the probability of observing a decay (squares) or rise (circles) event. We find ni decreases exponentially with probability exhibiting a similar slope for the rise and decay events. Extrapolating to zero probability a maximum of eight working objects is determined, except for the data observed during the slow decay (Fig. 7b) where a much faster decrease (about 5 fold) with a greater number of working objects 36 ± 13 is required to explain the data (fit is not shown in Fig. 7b). This analysis suggests there are six to eight working objects. If the objects are working actin protofilaments where NT ≡ 8 (see eqn (3) and (4)) then a length constant of 2.1–2.2 nm (ESI,† Table S1) is calculated with the experimental derived slopes (Fig. 6). This calculated length scale is 0.7 fold of the expected half length of a single subunit of G-actin at 2.7 nm.10 During the slow on-phase (Fig. 5e and f) we calculate a length constant of 1 nm which is much less than single subunit of G-actin.
We investigated whether myosin II via the myosin light chain kinase pathway (MLCK) was responsible for the dynamic force and found the sawtooth transients were also observed in presence of ML-7. In addition, the stationary force and force obtained at end of tube elongation were of similar magnitude to the control at 12 ± 2.6 (n: 5) and 30.1 ± 5.3 (n: 7) (Fig. 2a). Likewise the tube shape and movement were also similar to that observed under control conditions (i.e., ESI,† Movies S1). We also did not detect a difference in the time course of the sawtooth at least within the noise of our measurements and at the concentrations of ML-7 examined, 2 and 20 μM30 (Fig. 6). MLCK is found associated with cortical actin. When mast cells are triggered to undergo exocytosis, calcium and calmodulin bind to MLCK to induce F-actin disassembly.30 In the presence of ML-7 this activation of MLCK is inhibited and F-actin concentration increases. When the cells are not activated ML-7 has no effect on F-actin disassembly.30 If myosin II via MLCK pathway was directly responsible for the sawtooths we would expect them to diminish and not be observed or observed rarely. Although it is likely that ML-7 had some other subtle effects it did not appear to diminish the dynamic force, especially the sawtooth.
Because the cells were not activated it is also improbable that the discrete force (Fig. 3) is due to tension change as a result of exocytosis or endocytosis of secretory vesicles. If exocytosis occurs it should increase the amount of plasma membrane available (decrease the force) while endocytosis should decrease the amount of plasma membrane available (increase the force). The stationary force is low (12 pN) and independent (statistically) of the length of the tube (Fig. 2a) indicating there is excess membrane to form tubes and buffer31 any incidental endocytotic event. In addition cytochalasin E32 does not inhibit exocytosis and the dynamic events should still have been observable in the presence of this drug.
We investigated whether nocodazole which inhibits depolymerisation of microtubules33 was responsible for the dynamic force and found the sawtooth was also observed with this toxin. The stationary force and the force obtained at end of elongation in the presence of 10 μM nocodazole were also similar to the control values at 13.6 ± 2.5 (N: 5) and 32.7 ± 1.09 (N: 4). In mast cells nocodazole disrupts microtubules near the centrosome and within the endoplasmic reticulum to affect calcium release.34
We also considered that unconventional myosins (e.g., myosin 1, myosin V, and myosin X) may be participating as they are present in filopodia,35 but suggest they are an unlikely candidate because of the magnitude of the force measured in the experiments. Briefly, about 25% of the events exhibited a ΔF with magnitude greater than 10 pN. This contrasts the maximum force expected for a myosin molecule at 3 pN.36 Although unconventional myosins can produce a significant force under isometric conditions, there is a low probability that two or more myosin molecules would simultaneously go through their working-stroke to produce a discrete force step >10 pN.
Having considered the above possibilities and deemed them not compelling explanations we propose the rising phase of the sawtooth force results from depolymerisation of F-actin where the decay phase originates from polymerisation of F-actin. This suggests that actin is attached to the membrane and the concentration of monomeric actin at the tip of the tube hovers below but near the critical concentration. The measured value of ΔF = f ∼ 2.5 pN (eqn (2), Fig. 7) is comparable to the force per filopodium at 3 pN produced by actin polymerisation by growing dorsal root ganglia.21 The force is 3-fold more than the value obtained from isolated filaments at ∼1.0 pN for both a single filament attached to formin19 or a growing bundle of filaments polymerizing.18 In the latter report they suggest cooperativity was absent and only one filament was in contact with the barrier. We suggest cooperativity is present (Fig. 6, ESI,† Table S1) and there is more than 1 filament in contact with the membrane.
We did not measure sawtooth transients for longer tubes (∼40 μm in length) suggesting that a length of ∼25 μm may represent a limit, which is consistent with other experiments.22,44 The growth rate of F-actin within the tubes (0.15 to 0.25 μm s−145) is also similar to reported rates.22,26 An intact cortical actin is required to support the growth of the F-actin bundle within the tube. This was apparent when we removed the trap, and monitored collapse of the tube back to the cell where a faster rate was found under control conditions. Further examination and modelling of the time course of the rate of tube collapse should reveal the viscoelastic properties of the actin cortex and indicate the presence of F-actin growth within the tube.
The influence of load on the kinetics of microtubule growth shows that a load either slows the on-rate and does not affect the off-rate, or slows the on-rate and quickens the off-rate.46 In models for actin polymerisation it is usually assumed that a load only slows the on-rate.47–49 In their examples, the on and off processes are coupled and describe forward and backward transitions over the same free-energy barrier. In contrast, our results suggest that the on and off transitions traverse different free-energy pathways. Although more data is required to verify this result, if correct it implies that bundled structures found in cells exhibit elaborate kinetics compared to those of isolated filaments.
![]() | ||
Fig. 8 Pathway for actin depolymerisation (Scheme 1) and polymerisation (Scheme 2). Scheme 1. Two of the protein linkers, crisscross from the (n + 2) to the (n + 1) position and pull the membrane towards the cell with rate constant k1, and the same two monomers at position (n + 2) escape to the cytoplasm with rate constant k3. Scheme 2. Upper: Monomers bind only to filaments without linkers. A monomer binds at the (n + 2) position of the 4th filament after which a protein linker dissociates from the 5th and binds to the 4th pushing the membrane forward. A second monomer then binds to the (n + 2) position of the 5th filament. Lower: binding of monomer to filaments with a linker attached. A monomer binds at the (n + 1) position (4th filament) and this linker then moves to the adjacent filament pushing the membrane forward. A second monomer binds to the (n + 2) position of the 3rd filament and the linker on this filament dissociates and rebinds to the (n + 2) position of the 5th filament pushing the membrane forward. The symbols represent G: monomeric actin, M: membrane, F: filament; T: protein linker and the subscript the filament number. The rate constants, k are shown where odd and even subscripts represent depolymerisation and polymerisation. |
Because the transitions appear uncoupled we suggest different pathways for polymerisation. We propose linkers first detach from one of the protofilaments and attach to a surrounding filament, and then either polymerize on the filament they just detached from as proposed by the Brownian tethered ratchet mechanism49 (Fig. 8, Scheme 2 upper) or polymerise on the newly attached filament47 (Fig. 8, Scheme 2 lower). Our data cannot discriminate between the two common mechanisms used to describe actin polymerisation.
Linkers convert chemical energy to kinetic energy that drives the mechanical motion of the membrane. We do not suggest that ATP hydrolysis is required (cf.ref. 47) rather that monomer addition and removal provides the energy to push and pull the membrane. A likely candidate for one of the transducer molecules is the formin family of proteins especially Diaphanous-related formins (Drf) as they nucleate and track processively at the barbed-end of linear actin arrays50,51 and allow for the assembly of long F-actin arrays in filopodia.52 Models for processive association suggest the translation of the formin (FH2 dimer) is equivalent to the length of a G-actin molecule.50,51 However, the models do not consider movement of the plasma membrane. In addition, there is paucity of evidence that formins support membrane binding. There is evidence that one of the formins binds to the membrane via a membrane protein53 and that phospholipids may bind to the protein.54 If formins are indeed the transducers it is more likely that a protein–membrane linker is attached to each protofilament because they exist as dimers.55 An alternative explanation is that there is a second linker between the membrane and formin, as suggested for N-WASP capture of branched actin filaments.56
A first order rate constant for actin polymerisation of 7.4–10 μM s−1 is determined in isolated filaments.39–41 We did not determine this rate constant only the product of the local concentration and the rate constant (see eqn (4)). Although the fastest on-rate (100 s−1) is comparable to values found in cells,57 the sampling rate (1 kHz) and noise of our recording (the j-slope was calculated with at least 5 ms of data, Fig. 5d) limits the robustness of this estimate. Our recent measurements with a similar laser trap indicate the dynamical response of the trap is >3000 s−1 suggesting the response of the trap was not limiting.58 We determine an off-rate (0.27 s−1) which is 2–4 fold less than that measured on isolated actin filaments at 0.64–1.4 s−1.39–41 The off-rate has not been reported in cells. This estimate is not limited by sampling rate.
Several studies suggest that the moving object (e.g. bead or membrane) is tethered to the actin network (e.g., Fig. 8, Scheme 2) for robust actin-based motility.56,59,60 There is a debate whether the discrete movement of the object should reflect the size of monomeric actin. One experimental report supports the suggestion16 while other experimental and computational studies disagree.59–61 A length constant between 0.1 to 0.27 nm per working object is calculated from the kinetic data (ESI,† Table S1). This suggests 10–28 protofilaments (NT ≡ 10–28) would need to be attached to the membrane to achieve a λ equivalent to half a G-actin subunit at 2.7 nm. Although this is a reasonable number for filopodia, the maximum number of protofilaments detected was about eight from which we estimate a λ of ∼1–2 nm (Fig. 7). Although we favour the idea that the filaments are cooperating to prevent the rate from decreasing, i.e. exp(−niΔFλ/NTkBT), (ΔF = 2.5 pN, ni: working filaments, Fig. 6 and 7). We acknowledge that the experiments cannot discriminate if the slope reflects the cooperative decrease, i.e., exp(−niΔFλ/kBT) in the rate as a result of breakage and formation of many attachments bonds. The latter describes the cooperative thermal breakage model.60 Further studies are required to determine if the discrete nature of motility is a direct correspondence of the G-actin subunit length and/or reflective of the other participants, (e.g., the putative protein linkages that connect actin to the membrane and determine the transduction efficiency).
(2) The rate of bond formation and breakage is revealed from the time course of the membrane force. Development of methodology to reduce the noise and expand the bandwidth should improve the fidelity of the measured rate and rate constants.
(3) We observe separate pathways that we associate with actin polymerisation and depolymerisation. This suggests the kinetics within cells is more complex than that described for isolated filaments and requires theoretical development.
(4) The observation of the pulling force which we associate with depolymerisation implies the membrane is attached to the bundle and the filaments are not always treadmilling. This could be a function of experimental manipulation. Further studies will establish if this pulling force contributes to cell contraction during cell mobility.
Footnote |
† Electronic supplementary information (ESI) is available. This includes three figures, one table and four movies. See DOI: 10.1039/c2ib20097j |
This journal is © The Royal Society of Chemistry 2013 |