6
Strain history dependence of the nonlinear stress response of brin and collagen networks Stefan Münster a,b,c , Louise M. Jawerth d , Beverly A. Leslie e , Jeffrey I. Weitz e,f,g , Ben Fabry b,c,1 , and David A. Weitz a,d,1,2 a School of Engineering and Applied Sciences and d Department of Physics, Harvard University, Cambridge, MA 02138; b Department of Physics, University Erlangen-Nuremberg, 91052 Erlangen, Germany; c Max Planck Institute for the Science of Light, 91058 Erlangen, Germany; and e Thrombosis and Atherosclerosis Research Institute and Departments of f Medicine and g Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada L8L 2X2 Edited by Harry L. Swinney, University of Texas at Austin, Austin, TX, and approved May 15, 2013 (received for review December 31, 2012) We show that the nonlinear mechanical response of networks formed from uncross-linked brin or collagen type I continually changes in response to repeated large-strain loading. We demon- strate that this dynamic evolution of the mechanical response arises from a shift of a characteristic nonlinear stressstrain rela- tionship to higher strains. Therefore, the imposed loading does not weaken the underlying matrices but instead delays the occur- rence of the strain stiffening. Using confocal microscopy, we pres- ent direct evidence that this behavior results from persistent lengthening of individual bers caused by an interplay between ber stretching and ber buckling when the networks are repeat- edly strained. Moreover, we show that covalent cross-linking of brin or collagen inhibits the shift of the nonlinear material re- sponse, suggesting that the molecular origin of individual ber lengthening may be slip of monomers within the bers. Thus, a - brous architecture in combination with constituents that exhibit internal plasticity creates a material whose mechanical response adapts to external loading conditions. This design principle may be useful to engineer novel materials with this capability. ECM | nonlinear rheology | factor XIII | blood clot N etworks of stiff biopolymer bers are a major component of the structural architecture of multicellular organisms; their unique material properties provide rigidity and protect structural integrity. These networks are particularly important in the ex- tracellular matrix (ECM) where they provide mechanical support to living cells and form many of the load-carrying structures in the body. One important example is brin, which forms the un- derlying scaffold of blood clots and the provisional matrix (1). Another important example is collagen type I, the major struc- tural constituent of all connective tissue, tendons, ligaments, and bone (2). Because the in vivo structure of these ber networks is so complex, investigations of in vitro networks of both proteins have been used to explore their structure and unique mechanical properties, and to elucidate their underlying design principles. Interestingly, brin and collagen exhibit many similar features: Both proteins self-assemble into thick, hierarchically ordered, rather stiff bers through electrostatic and hydrophobic inter- actions (3, 4); these bers associate into sparse, 3D networks that possess unusual mechanical properties not seen in synthetic polymers. In both cases, these networks display highly nonlinear mechanics and stiffen signicantly as the strain increases (58). In addition, they are both also viscoelastic: They partially store elastic energy and partially relax internal stress through dissi- pative processes (912). All of these properties are delicately inuenced by the structure of the networks, by the molecular interactions between monomers, and by the addition of covalent cross-links (7, 13, 14). This creates a delicate interplay between the viscoelastic and nonlinear mechanical properties of these networks. However, the underlying nature of this interplay remains elusive; this is particularly important when a network is strained into its nonlinear regime where the material is exposed to very high stresses. In this case, little is known about how the complex viscoelastic behavior affects the internal structure and whether this leads to a modication of the bulk mechanics. In particular, it is unclear whether the mechanical bulk response remains unchanged when the network is strained several times. In fact, it is just this repeated straining that is important for an ECM: Blood clots must withstand the pulsatory ow of blood (1). Similarly, tendons and ligaments are subjected to repeated stretch with every motion of the body; indeed, collagen-rich tis- sues are known to exhibit mechanics that are dependent on their loading history (1518). However, detailed rheological mea- surements of pure collagen or brin biopolymer networks under repeated large-strain loading have never been reported. This is essential to assess whether these biopolymer networks exhibit mechanics that depend on loading history and to elucidate the interplay between viscoelastic properties and nonlinear bulk mechanics of stiff ECM biopolymer networks. This may also help determine how these structures behave in the body. Here, we show that the mechanical response of networks formed from brin or collagen type I continually changes in re- sponse to repeated large-strain loading. This change shows many characteristics of weakening; however, by collapsing this re- sponse onto a master curve, we demonstrate that the dynamic evolution arises from a shift of a characteristic nonlinear stressstrain response to higher strains. Therefore, the imposed loading does not weaken the underlying matrices but instead delays the onset of the strain-stiffening response. Using confocal microscopy, we present direct evidence that this behavior does not arise from damage to the material, such as rupture of the constituent bers or detachment of their branch points; instead, it results from per- sistent lengthening of the individual bers. Furthermore, we show that covalent cross-linking of brin or collagen inhibits this work- ability of both materials, suggesting that the molecular origin of individual ber lengthening is slip of monomers within the bers. Results Repeated Large-Strain Loading of Fibrin Networks. We initiate po- lymerization of a brin network by addition of 0.2 NIH units/mL human α-thrombin to a 1 mg/mL brinogen solution at 25 °C in situ in a strain-controlled rheometer equipped with a plateplate geometry. To ensure that the resulting network is completely free of covalent cross-links, we remove any traces of human factor XIII from our brinogen stock solution by afnity chro- matography (19). We measure the nonlinear mechanical re- sponse by imposing a series of sinusoidal, large-strain oscillations of xed amplitude while continuously recording the resulting Author contributions: S.M., L.M.J., B.F., and D.A.W. designed research; S.M. and L.M.J. performed research; B.A.L. and J.I.W. contributed new reagents/analytic tools; S.M., L.M.J., B.F., andD.A.W. analyzed data; and S.M., L.M.J., B.F., and D.A.W. wrote the paper. The authors declare no conict of interest. This article is a PNAS Direct Submission. See Commentary on page 12164. 1 B.F. and D.A.W. contributed equally to this work. 2 To whom correspondence should be addressed. E-mail: [email protected]. This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10. 1073/pnas.1222787110/-/DCSupplemental. www.pnas.org/cgi/doi/10.1073/pnas.1222787110 PNAS | July 23, 2013 | vol. 110 | no. 30 | 1219712202 APPLIED PHYSICAL SCIENCES SEE COMMENTARY

Strain history dependence of the nonlinear stress response ... · formed from un–cross-linked fibrin or collagen type I continually changes in response to repeated large-strain

  • Upload
    others

  • View
    3

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Strain history dependence of the nonlinear stress response ... · formed from un–cross-linked fibrin or collagen type I continually changes in response to repeated large-strain

Strain history dependence of the nonlinear stressresponse of fibrin and collagen networksStefan Münstera,b,c, Louise M. Jawerthd, Beverly A. Lesliee, Jeffrey I. Weitze,f,g, Ben Fabryb,c,1, and David A. Weitza,d,1,2

aSchool of Engineering and Applied Sciences and dDepartment of Physics, Harvard University, Cambridge, MA 02138; bDepartment of Physics, UniversityErlangen-Nuremberg, 91052 Erlangen, Germany; cMax Planck Institute for the Science of Light, 91058 Erlangen, Germany; and eThrombosis andAtherosclerosis Research Institute and Departments of fMedicine and gBiochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario,Canada L8L 2X2

Edited by Harry L. Swinney, University of Texas at Austin, Austin, TX, and approved May 15, 2013 (received for review December 31, 2012)

We show that the nonlinear mechanical response of networksformed from un–cross-linked fibrin or collagen type I continuallychanges in response to repeated large-strain loading. We demon-strate that this dynamic evolution of the mechanical responsearises from a shift of a characteristic nonlinear stress–strain rela-tionship to higher strains. Therefore, the imposed loading doesnot weaken the underlying matrices but instead delays the occur-rence of the strain stiffening. Using confocal microscopy, we pres-ent direct evidence that this behavior results from persistentlengthening of individual fibers caused by an interplay betweenfiber stretching and fiber buckling when the networks are repeat-edly strained. Moreover, we show that covalent cross-linking offibrin or collagen inhibits the shift of the nonlinear material re-sponse, suggesting that the molecular origin of individual fiberlengthening may be slip of monomers within the fibers. Thus, a fi-brous architecture in combination with constituents that exhibitinternal plasticity creates a material whose mechanical responseadapts to external loading conditions. This design principle maybe useful to engineer novel materials with this capability.

ECM | nonlinear rheology | factor XIII | blood clot

Networks of stiff biopolymer fibers are a major component ofthe structural architecture of multicellular organisms; their

unique material properties provide rigidity and protect structuralintegrity. These networks are particularly important in the ex-tracellular matrix (ECM) where they provide mechanical supportto living cells and form many of the load-carrying structures inthe body. One important example is fibrin, which forms the un-derlying scaffold of blood clots and the provisional matrix (1).Another important example is collagen type I, the major struc-tural constituent of all connective tissue, tendons, ligaments, andbone (2). Because the in vivo structure of these fiber networks isso complex, investigations of in vitro networks of both proteinshave been used to explore their structure and unique mechanicalproperties, and to elucidate their underlying design principles.Interestingly, fibrin and collagen exhibit many similar features:Both proteins self-assemble into thick, hierarchically ordered,rather stiff fibers through electrostatic and hydrophobic inter-actions (3, 4); these fibers associate into sparse, 3D networks thatpossess unusual mechanical properties not seen in syntheticpolymers. In both cases, these networks display highly nonlinearmechanics and stiffen significantly as the strain increases (5–8).In addition, they are both also viscoelastic: They partially storeelastic energy and partially relax internal stress through dissi-pative processes (9–12). All of these properties are delicatelyinfluenced by the structure of the networks, by the molecularinteractions between monomers, and by the addition of covalentcross-links (7, 13, 14). This creates a delicate interplay betweenthe viscoelastic and nonlinear mechanical properties of thesenetworks. However, the underlying nature of this interplayremains elusive; this is particularly important when a network isstrained into its nonlinear regime where the material is exposedto very high stresses. In this case, little is known about how thecomplex viscoelastic behavior affects the internal structure and

whether this leads to a modification of the bulk mechanics. Inparticular, it is unclear whether the mechanical bulk responseremains unchanged when the network is strained several times.In fact, it is just this repeated straining that is important for anECM: Blood clots must withstand the pulsatory flow of blood(1). Similarly, tendons and ligaments are subjected to repeatedstretch with every motion of the body; indeed, collagen-rich tis-sues are known to exhibit mechanics that are dependent on theirloading history (15–18). However, detailed rheological mea-surements of pure collagen or fibrin biopolymer networks underrepeated large-strain loading have never been reported. This isessential to assess whether these biopolymer networks exhibitmechanics that depend on loading history and to elucidate theinterplay between viscoelastic properties and nonlinear bulkmechanics of stiff ECM biopolymer networks. This may also helpdetermine how these structures behave in the body.Here, we show that the mechanical response of networks

formed from fibrin or collagen type I continually changes in re-sponse to repeated large-strain loading. This change shows manycharacteristics of weakening; however, by collapsing this re-sponse onto a master curve, we demonstrate that the dynamicevolution arises from a shift of a characteristic nonlinear stress–strain response to higher strains. Therefore, the imposed loadingdoes not weaken the underlying matrices but instead delays theonset of the strain-stiffening response. Using confocal microscopy,we present direct evidence that this behavior does not arise fromdamage to the material, such as rupture of the constituent fibersor detachment of their branch points; instead, it results from per-sistent lengthening of the individual fibers. Furthermore, we showthat covalent cross-linking of fibrin or collagen inhibits this work-ability of both materials, suggesting that the molecular origin ofindividual fiber lengthening is slip of monomers within the fibers.

ResultsRepeated Large-Strain Loading of Fibrin Networks. We initiate po-lymerization of a fibrin network by addition of 0.2 NIH units/mLhuman α-thrombin to a 1 mg/mL fibrinogen solution at 25 °C insitu in a strain-controlled rheometer equipped with a plate–plategeometry. To ensure that the resulting network is completelyfree of covalent cross-links, we remove any traces of humanfactor XIII from our fibrinogen stock solution by affinity chro-matography (19). We measure the nonlinear mechanical re-sponse by imposing a series of sinusoidal, large-strain oscillationsof fixed amplitude while continuously recording the resulting

Author contributions: S.M., L.M.J., B.F., and D.A.W. designed research; S.M. and L.M.J.performed research; B.A.L. and J.I.W. contributed new reagents/analytic tools; S.M., L.M.J.,B.F., and D.A.W. analyzed data; and S.M., L.M.J., B.F., and D.A.W. wrote the paper.

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

See Commentary on page 12164.1B.F. and D.A.W. contributed equally to this work.2To whom correspondence should be addressed. E-mail: [email protected].

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1222787110/-/DCSupplemental.

www.pnas.org/cgi/doi/10.1073/pnas.1222787110 PNAS | July 23, 2013 | vol. 110 | no. 30 | 12197–12202

APP

LIED

PHYS

ICAL

SCIENCE

SSE

ECO

MMEN

TARY

Page 2: Strain history dependence of the nonlinear stress response ... · formed from un–cross-linked fibrin or collagen type I continually changes in response to repeated large-strain

stress. The stress–strain response of each cycle exhibits a sharpupturn of the stress with increasing strain, reflecting the nonlinearityof thematerial, and a closed loop on decreasing the strain, reflectingthe dissipative loss in the network as seen in Fig. 1A.However, the stress–strain response changes with each sub-

sequent cycle: The stress is lower at each value of the strain, andthe upturn due to the nonlinearity occurs at a higher strain (Fig.1A, Lower Inset). After 10 cycles, we increase the strain ampli-tude of the oscillations (Fig. 1A, Upper Inset). The stress–strainbehavior of the first cycle at the increased strain amplitudeclosely follows that of the last cycle at lower strain levels; how-ever, because the maximum strain is now larger, the maximumstress the nonlinear loop reaches is also larger. With all sub-sequent cycles at this strain amplitude, the stress decreases andthe network again undergoes weakening (Fig. 1A). As we in-crease the amplitude further, the material responds similarly,and this can be repeated until the network eventually breaks(Fig. S1A). This response contains many intriguing features;however, it is particularly striking that the shapes of the non-linear mechanical response of all cycles are very similar, with thedistinguishing characteristic that the nonlinear strain stiffeningoccurs at successively higher strain.

To compare the stress–strain relation between cycles of fixedstrain amplitude, we quantify the shift in the nonlinear responseof the elastic portion of the viscoelastic stress–strain relation. Weaverage the stresses during loading and unloading to determinethe elastic component of the complex stress, σel (20) (for furtherdetails, see Fig. S2 and SI Text). To parameterize the shift of theonset of the nonlinearity in each cycle, we chose a thresholdstress σthresh and calculate the characteristic strain, γchar, at whichσel(γchar) = σthresh. We find that γchar increases with each cycle;the amount of the increase slows with successive cycles of thesame strain amplitude (Fig. 1B, Inset). To compare the similar-ities in the shifted mechanical response, we determine the in-creased shift for each successive cycle Δγchar = γchar − γ1char, whereγ1char is the characteristic strain for the first cycle of each ampli-tude. We then shift the data for each cycle by subtracting Δγcharfrom the strain at every point on the cycle, and plot these shifteddata in Fig. 1B. Remarkably, the σel for each strain amplitudecollapse onto a master curve as shown by the gray curves in Fig.1B. Moreover, we can collapse all stress curves from all steps atall strain amplitudes onto a single, universal master curve bysubtracting γchar, thus plotting σel(γ − γchar) (Fig. 1C and Inset).We confirm that this collapse is not affected by the geometry of

0 0.05 0.1 0.15

0

10

20

strain

stre

ss [P

a]

D collagen (raw data)

thresh

0 0.05 0.1 0.15strain −

char

E collagen (shifted − within steps)

−0.05 −0.025 0 0.025 0.05strain −

char

F collagen (shifted − all)

0 0.25 0.5 0.75 1 1.25

0

50

100

150

strain

stre

ss [P

a]

A fibrin (raw data)

thresh

0 0.25 0.5 0.75 1 1.25strain −

char

B fibrin (shifted − within steps)

−0.5 −0.25 0 0.25 0.5strain −

char

C fibrin (shifted − all)

0 20 40 60 800

0.05

0.1

0.15

cycle #

char

0 20 400

0.2

0.4

0.6

0.8

cycle #

char

−0.05 0 0.05

0

10

20

strain − char

el [P

a]−0.5 0 0.5

0

50

100

150

strain − char

el [P

a]

t−1

01

stra

in

t−.2

0.2

stra

in

Fig. 1. Evolution of the nonlinear viscoelastic stress response of fibrin (A–C) and collagen networks (D–F) in response to large amplitude strain cycles. (A) Setsof 10 strain oscillations with stepwise increasing strain amplitude (0.4, 0.6, 0.8, 1, 1.2) are imposed on a 1 mg/mL fibrin network free of covalent cross-links.(Upper Inset) Colored loops show the stress vs. strain response of half-cycles (sets of cycles at different amplitudes are represented by different colors; latercycles are indicated by darker shades of each color). (Lower Inset) Enlarged view of the evolution of the first set of cycles at a strain of 0.4; the stressesdecrease with each subsequent cycle (vertical arrow), and the onset of nonlinearity occurs at higher strains (horizontal arrow). Gray lines represent the elasticmidlines of each cycle; the intersect strain γchar with the threshold stress σthresh is calculated for each midline (Inset in B). (B) Stress vs. strain loops from cycles atthe same strain amplitude are replotted by subtracting Δγchar, the increase of γchar of each cycle with respect to γchar of the first cycle at each strain amplitude.(C) All stress vs. strain loops are collapsed onto a single master curve by replotting each cycle subtracted by γchar. (Inset) Collapse of the elastic midlines σel byreplotting each curve subtracted by γchar. Colors correspond to the viscoelastic loops in the main panel. (D–F) A similar strain protocol (0.06, 0.08, 0.1, 0.12,0.14, 0.16, and 0.18 strain amplitude) is performed on a 0.9 mg/mL collagen network; this shows a similar shift of the material’s stress–strain response that canalso be collapsed onto a single master curve. (All panels and Insets correspond to those in A–C.)

12198 | www.pnas.org/cgi/doi/10.1073/pnas.1222787110 Münster et al.

Page 3: Strain history dependence of the nonlinear stress response ... · formed from un–cross-linked fibrin or collagen type I continually changes in response to repeated large-strain

the rheometer tool by repeating the experiment and analysisusing a cone–plate geometry where the strain is constant acrossthe whole geometry of the tool (Fig. S3). Remarkably, thismaster curve is similar to that obtained for a virgin network whenstrained immediately to the highest amplitude (Fig. S1A, Inset).Thus, the shapes of the nonlinear mechanical response of a fibrinnetwork remain identical after repeated straining or working,demonstrating that the effect of the working of the material is toshift its nonlinear stress response to a higher strain. The shiftoccurs equally in both directions of the symmetrically appliedsinusoidal deformations (Fig. S1). However, when the network isstrained by several cyclic half-sine deformations in one direction,only that half of a full sinusoidal strain cycle is shifted, whereasthe response in the other half of the cycle is unaffected (Fig. S4).Such unusual shift of the material response cannot be explainedby any conventional concept of viscoelasticity. Instead, it is rem-iniscent of an inelastic material change that introduces an excesslength into the network. This can occur through various processes:Branch points may detach (21, 22), and fibers may slide with re-spect to one another (23), may bundle (24), or may rupture.

Confocal Imaging of a Fibrin Network Held Under Shear. To elucidatethe nature of this lengthening, we polymerize a fluorescentlylabeled fibrin network between two parallel glass plates on aconfocal microscope and directly image the network structurewhile we perform a strain hold experiment: We impose a suddenshear deformation of a strain of 0.7 by translating the top plateand acquire a full 3D image every minute for 1 h; thereafter, werelease the shear by returning the plate to its initial, 0-strainposition and immediately acquire another 3D image. The un-strained, virgin fibrin network is composed of sparse, randomlyoriented fibers, which are initially nearly straight (Fig. 2A). Uponbeing sheared, the deformation of individual fibers depends ontheir orientation in the network: Fibers stretch and their lengthincreases when oriented in the direction of shear; whereas,rather than being compressed, they buckle when oriented per-pendicular to the direction of shear as highlighted by the red andblue lines, respectively, in Fig. 2A. When we perform a similarstrain hold experiment with the rheometer, we find that thenetwork stress decreases significantly, to less than 20% of itsinitial value, over the course of 1 h (Fig. S5A). Surprisingly, how-ever, when we examine the evolution of the structure of thenetwork under shear, there are no obvious changes in the shearedstructure visible during the entire period; instead the networkappears completely static (Movie S1): We observe no rupture of

individual fibers or branch points, no detachment of fibers fromthe plates, and no significant sliding of fibers with respect to oneanother. Thus, network stress is relaxed, yet the network structureremains fully static. Therefore, stress relaxation must occur withinthe fibers themselves; this is consistent with atomic force mi-croscopy experiments on single fibers (25).When the imposed strain is removed, the branch points of the

network return approximately to their initial position; however,the shapes of the fibers differ significantly from their initial state:Fibers that were buckled under shear return relatively straight,whereas fibers that were stretched under shear now appear buckledand curved as shown in Fig. 2A and Movie S2. This bucklingsuggests that stretched fibers do not fully retract to their originalrest length but instead become longer.To confirm that fibers do indeed lengthen after they have been

temporarily stretched, we image an individual fibrin fiber sus-pended perpendicularly over a microchannel (26) and repeatedlystretch it with a glass capillary pulled to a 1-μm diameter tip andmounted onto a micromanipulator. The initially straight fiber isstretched laterally along the channel until its length is increasedby ∼75%. After holding this deformation for 5 s, we release thefiber and then repeat this procedure 15 times in 10-s intervals.After each stretch, the shape of the fiber becomes increasinglybowed as seen in Fig. 2B. This demonstrates that the fiber restlength does indeed increase when it is stretched.

Microscopic Origin of the Bulk Response. We can use these obser-vations to understand the bulk network behavior on an in-dividual-fiber basis: When the network is sheared, each fiber ofthe subset oriented in the direction of shear is stretched, puttingit under tension (Fig. 3A, I–II). However, the rest lengths ofthese fibers increase over time, thereby relaxing most of thistension (Fig. 3A, III). As the applied strain returns to zero, thesystem returns to its initial position, putting the lengthened fibersunder compression; instead of shortening to their original restlengths they buckle and remain lengthened (Fig. 3A, IV). Thus,when the fibrin network is sheared again, these lengthened fibersdo not contribute to the total network shear stress until theirundulations are pulled out and they become taut (Fig. 3A, V–VI).This delayed engagement of these fibers leads to the observedshift of the shear response of the entire system to higher strains.The amount fibers lengthen during each cycle is a fraction oftheir relative stretch; therefore, as the rest length of these fibersincreases, their successive relative stretch becomes less, leadingto the asymptotic approach to their maximum increase in length.

Fig. 2. Structural changes of an un–cross-linkedfibrin network held under shear deformation, andthe effect of repeated stretching of an individualfibrin fiber. (A) A fluorescently labeled 1 mg/mL fi-brin network free of covalent cross-links is poly-merized in a custom-built shear cell consisting oftwo parallel glass plates. Its 3D network structure isimaged before (Left), during (Center), and after(Right) a shear deformation of a strain of 0.7 isapplied for 1 h by translating the top plate hori-zontally while the bottom stays stationary. Thecolored lines highlight fibers in the direction ofshear (right of red lines) and perpendicular to thedirection of shear (left of blue lines). All images arex–z projections of a volume spanning 15 μm in the ydirection. (Scale bar: 20 μm.) (B) An individual fibrinfiber suspended perpendicularly over a 20-μm–widemicropatterned channel is stretched 15 times for 5 sto 175% of its original length with a pulled glasscapillary. With ongoing cycles, the fiber appearsincreasingly bowed, indicating that it becomes suc-cessively longer.

Münster et al. PNAS | July 23, 2013 | vol. 110 | no. 30 | 12199

APP

LIED

PHYS

ICAL

SCIENCE

SSE

ECO

MMEN

TARY

Page 4: Strain history dependence of the nonlinear stress response ... · formed from un–cross-linked fibrin or collagen type I continually changes in response to repeated large-strain

Thus, for a constant strain amplitude, the successive shift of thestress response slows as does the decrease of the maximumstress. However, when the strain amplitude is increased, fibersare again stretched beyond the increased length to which theyhave been worked, and, hence, the lengthening and correspond-ing shift in the stress response begins anew. Moreover, once thelengthened fibers are pulled taut, the stress–strain response of thenetwork is again similar to the virgin network. This provides a fiber-level account of the stress–strain response behavior of the bulk andits scaling, as observed in Fig. 1. For symmetrically applied sheardeformations, the fibers of each of the two orthogonal sub-populations are lengthened during the respective half-cycles and,hence, the response of the fibrin network shifts in a similar fashionin each strain direction. By contrast, when the network is shearedasymmetrically in one direction, only fibers in the subpopulationthat is stretched are lengthened; those in the subpopulation oforthogonal fibers remain unaltered. This explains our observationthat an asymmetrically worked network displays a shift of its me-chanical response only in the direction that it is worked, while itsproperties remain unaltered in the other direction.

Effect of Covalent Cross-Linking. The stress relaxation and length-ening of the fibrin fibers under stretch can be explained by theirmicroscopic nature: Fibrin fibers are self-assembled arrays of

fibrin protofibrils whose mechanical properties, as well as theirinteraction with each other, determine the mechanics of thefibers (1, 13). Slippage between protofibrils or the breaking ofknob-hole bonds drive stress relaxation in fine fibrin clots (5, 27, 28)and may occur within the fibers themselves in coarse clots (29)(Fig. 3B). Furthermore, the dissociation of oligomers (30) couldalso contribute to stress relaxation and fiber lengthening. Allof these mechanisms are inhibited with the introduction ofphysiologically important covalent cross-links by activated factorXIII (factor XIIIa), which catalyzes the formation of covalentbonds that not only link fibrin monomers within protofibrils toeach other but also link adjacent protofibrils (30, 31). If proto-fibrils neither slip nor break, the fibers will not lengthen andthe stress response of the system should not shift (Fig. 3C). Wetherefore hypothesize that a fibrin network that is covalentlycross-linked by factor XIIIa will show a decreased shift of thestress response under cyclic loading.To test this hypothesis, we repeat the same measurement

protocol on an equivalent fibrin network that has not been de-pleted of factor XIII and, hence, is completely cross-linked (Fig.S6). In this case, the stress–strain response is unchanged withsubsequent cycles at constant amplitude and the data loops fullyoverlap each other (Fig. 4A, same colors). Moreover, upon in-crease of the strain amplitude, the loading branches of eachstress–strain response exactly follow the same trace, whereas theunloading branches return at correspondingly higher strains (Fig.4A, different colors). These data demonstrate that the onset ofnonlinearity of the cross-linked system always occurs at the samestrain, regardless of the previous loading history of the material.This confirms our hypothesis that covalent cross-linking of thesystem inhibits the shift of the bulk mechanics to higher strains(Fig. 4A, Inset); moreover, these data suggest that, in the absenceof covalent cross-links, the nonpermanent coupling of monomersis the origin of the observed change of the mechanical propertiesof the un–cross-linked fibrin network.

Similarity with Collagen Networks. Self-assembly of monomers intofibers is a common strategy not only inherent to fibrin networksbut shared by many other biopolymers. Fibers of other proteinsconstructed in such a way may also be susceptible to slip of theirmonomers with respect to one another and, thus, may be sus-ceptible to working of their bulk response. To ascertain whetherthe mechanical behavior reported here is limited to fibrin orshared by other biopolymers of this class, we repeat our mea-surements on another important example of a biopolymer networkthat is composed of nonpermanently coupled, self-assembledfibers: collagen type I (2, 3). We use a similar cyclic-strain pro-tocol on a reconstituted network of 0.9 mg/mL collagen type I,polymerized at 25 °C in situ (Fig. 1D, Upper Inset). Like fibrin,collagen is viscoelastic and exhibits highly nonlinear loading andunloading cycles, with each oscillation featuring closed loops withsharp upturns (Fig. 1D and Lower Inset). However, unlike fibrin,

Fig. 3. Lengthening of viscoelastic fibers due to stretching followed bybuckling. (A) (I) Fibers oriented in the direction of shear (solid line) and fibersoriented perpendicular to it (dashed lines) behave differently when the bulk issheared. (II) Upon shear, fibers in the direction of shear are stretched, puttingthem under tension (red line), whereas fibers perpendicular to it buckle.(III) The tension within the stretched fibers relaxes quickly due to internalviscoelastic processes, leading to an increase of their rest lengths. (IV) Uponreturn of the bulk deformation to the initial 0-strain position, lengthenedfibers remain so, because they do not become compressed, but instead buckle.(V) When the network is sheared again, the lengthened fibers do not con-tribute to the bulk shear stress until they are pulled taut. (VI) Once the shearamplitude exceeds those of previous cycles, fibers contribute to the shear stressas before, which accounts for the observed shift of the bulk stress responseto higher strains. (B) When an un–cross-linked fiber is put under tension, slipof protofibrils (blue lines) leads to a strong relaxation of the internal stressand causes the rest length of the fiber to increase. (C) By contrast, in a fiberfully cross-linked, adjacent protofibrils are covalently bound to one another(red links) and do not slip under tension leading to a suppressed relaxation;therefore, the fiber retains its initial rest length upon stress release.

0 0.25 0.5 0.75 1 1.25

0

100

200

300

400

500

600

700

strain

stre

ss [P

a]

Acrosslinked fibrin (raw data)

0 20 400

0.2

0.4

0.6

0.8

cycle #

char

0 0.05 0.1 0.15 0.20

50

100

150

200

250

strain

Bcrosslinked collagen (raw data)

0 20 40 60 800

0.05

0.1

0.15

cycle #

char

Fig. 4. Nonlinear viscoelastic stress response of covalentlycross-linked fibrin and collagen networks in response to large-amplitude strain cycles. (A) The stress vs. strain loops ofa 1 mg/mL fibrin network cross-linked by factor XIII all overlapand do not display a pronounced shift to larger strains asindicated by the strongly inhibited evolution of γchar withcycles (Inset). (B) The stress response of a 0.9 mg/mL collagennetwork cross-linked by 0.2% glutaraldehyde displays a simi-larly suppressed working behavior. (Inset) Evolution of γcharwith cycles. (The strain protocols for both systems are identicalto those in Fig. 1. The gray lines represent the midlines of theviscoelastic loops from which γchar is determined for each cycle.)

12200 | www.pnas.org/cgi/doi/10.1073/pnas.1222787110 Münster et al.

Page 5: Strain history dependence of the nonlinear stress response ... · formed from un–cross-linked fibrin or collagen type I continually changes in response to repeated large-strain

the strain-stiffening response of the collagen networks occursat smaller strains and the networks break earlier (Fig. S1C). Wetherefore adjust the strain amplitudes in our experiment ac-cordingly. In response to repeated straining, the nonlinear re-sponse of the collagen network also evolves with every newlyimposed cycle (Fig. 1D, same color). When the strain amplitude isincreased after 15 oscillations, the network displays an equivalentstrain-stiffening response at the higher strains and subsequentlyundergoes a working behavior (Fig. 1D, different colors). This isconsistent with previous work on fibroblast-populated collagenmatrices, where uniaxial stretching led to similar responses (32).Once again, we can collapse all recorded stress–strain responsesby subtracting an offset strain γchar, and thereby obtain a singlenonlinear master curve as shown in Fig. 1 E and F. These datademonstrate that collagen networks also undergo working similarto fibrin networks.We can also test the influence of covalent cross-linking on

collagen networks by an alternative method: We add a solution of0.2% glutaraldehyde after a network has fully polymerized; glu-taraldehyde is a small molecule that can incorporate into proteinfibers and covalently binds amino acid residues of neighboringmonomers together. Analogous to the fibrin network cross-linkedby factor XIIIa, when we repeat our measurements using a col-lagen network cross-linked with glutaraldehyde, the evolution ofthe bulk nonlinearity is completely inhibited (Fig. 4B) and each ofthe loading branches follows the same nonlinear stress–strainresponse. These findings confirm that covalent cross-linking has asimilarly strong effect on the working behavior of collagen net-works as it has for fibrin.

Discussion and ConclusionIn this report, we show that the nonlinear mechanical responseof in vitro fibrin and collagen networks can change dramaticallywhen these networks are repeatedly strained, provided theintrafibrillar bonds are not permanently cross-linked. This leadsto a pronounced working behavior of the network characterizedby a shift of the nonlinear stress response to higher strains. Wehave shown using confocal microscopy that the working of un–cross-linked fibrin networks results from lengthening of individualfibers without altering the network architecture and, thus, thestress–strain response data can be shifted onto a universal mastercurve when this additional length is subtracted. Because of theirsimilar fiber architecture and rheological response, it is reason-able to expect that fiber lengthening also underlies the mechan-ical evolution of collagen networks.Many aspects of this working behavior in un–cross-linked fi-

brin and collagen networks are also observed in other materials.A weakening of the stress–strain response during repeatedstraining, known as the “Mullins effect,” is observed for carbon-filled rubbers (33); similar behavior is observed in the “shake-down” of elastomers or hydrogels (34, 35), in the “fluidization” ofliving cells (36), in the “preconditioning” of tissues (15–18), and inthe “dynamic softening” of cross-linked actin biopolymer net-works (22, 24). For these materials, however, the mechanicalresponse weakens dramatically between the first and subsequentstraining cycles; this finding contrasts with the gradual shift of theentire nonlinear curve to higher strains, which we observe for fi-brin and collagen, and which is reminiscent of the preconditioningof collagenous tissues. Furthermore, the underlying mechanismsresponsible for strain-induced softening have not been estab-lished for the majority of these other materials. By contrast, be-cause we can directly image the individual fibers of fibrin net-works using confocal microscopy, we can unambiguously attributethe origin of the behavior in fibrin networks to the lengthening ofindividual fibers. The only other system for which the underlyingmechanism has been identified by direct visualization is recon-stituted actin networks; surprisingly, depending on conditions, actinnetworks exhibit both softening and hardening during cyclic load-ing. However, the mechanical alterations of actin networks arise

mainly from unbinding and rebinding of cross-linking proteins,combined with structural rearrangements of the network, includingfiber bundling, unbundling, or detachment from the plates (22,24).The gradual working of un–cross-linked fibrin networks results

from a successive lengthening of stretched fibers. Such lengthening,or plasticity, at the fiber level is observed in many biopolymer sys-tems, including actin (37), intermediate filaments (38), or micro-tubules (37), and in the results of molecular dynamics simulationsfor collagen fibers (39). We demonstrate the consequences of suchfiber plasticity on the bulk behavior when these networks arerepeatedly strained: Because fibers do not rupture and, thus, thenetwork structure remains unchanged, the shape of the nonlinearresponse also remains unchanged. Consequently, the data collapsebest when shifted through subtraction to scale them onto a mastercurve. This scaling method is distinct from that commonly used toobtain master curves for other biopolymer networks or living cells(40, 41), where the scaling is achieved through multiplication bya scaling factor. It is possible that scaling through subtraction of adistinct strain may help to describe the data obtained with othermaterials; this possibility deserves further investigation.The observed working behavior of fibrin and collagen networks

provides a very different material property for a network that iscontinually subjected to cyclical strain of constant amplitude: Be-cause the individual fibers cannot lengthen beyond their stretchedlength, the shift of the nonlinear response of the material will beconfined to strains at or below the amplitude of the imposed cyclicstrain; therefore, the mechanical response of these networks willadapt in such a way that the nonlinearity occurs at this amplitude.In the event of an increase of the strain amplitude, the immediateresponse will be characterized by a strong nonlinearity of the ma-terial; this might help protect the structural integrity of the networkby preventing overstretch. This automatic adaptation of the me-chanical bulk properties to loading conditions may be a usefuldesign principle for the engineering of bio-inspired materials.Our results also demonstrate that covalent cross-linking of fibrin

and collagen networks controls whether the bulk mechanics ofthese materials shift under loading or remain fixed. Currently, thetwo major functions associated with human factor XIII activity arestiffening of the clots and an increase in resilience to lysis (1, 31).We, however, show that factor XIII might also have this thirdimportant function of modulating the workability of fibrin. Thismay have important physiological consequences for blood clots:The complete cross-linking of a blood clot during coagulationtakes longer than the formation of its fibrillar backbone (31).Thus, after the initial clot has formed, its mechanical responsemay be slowly worked by the repeated straining and adapt to theexact mechanical environment; the subsequent cross-linking wouldthen ultimately stabilize these adapted properties and prevent theclot from further working and rupture.Finally, the influence of cross-linking on the mechanics of

collagen may also play a role when living cells migrate throughthe collagen-rich interstitial space of the ECM during processessuch as tissue development, wound healing, or metastasis ofcancer. To migrate, cells attach to the fibers of the ECM andcreate traction forces that propel them (42). These forces putcollagen fibers under tension; if the fibers are un–cross-linked,this tension might relax, causing the fibers to lengthen. As a re-sult, un–cross-linked fibers may not be able to support enoughtension for the cells to migrate. By contrast, cross-linked fibersmay not relax their internal tension as much, thereby supportingtraction forces that would facilitate cell migration. Indeed, recentresults have implicated covalent cross-linking in tumor pro-gression (43). Hence, not only the stiffening of the ECM causedby the cross-linking of collagen, but also the inhibition of fiberlengthening might play an important role for the increased abilityof cancer cells to invade the surrounding ECM. Thus, the fullconsequences of the working behavior of fibrin and collagennetworks remain to be further investigated.

Münster et al. PNAS | July 23, 2013 | vol. 110 | no. 30 | 12201

APP

LIED

PHYS

ICAL

SCIENCE

SSE

ECO

MMEN

TARY

Page 6: Strain history dependence of the nonlinear stress response ... · formed from un–cross-linked fibrin or collagen type I continually changes in response to repeated large-strain

Materials and MethodsPolymerization of Fibrin and Collagen Networks. We dilute human fibrinogenand α-thrombin (Enzyme Research Labs) in a buffer containing 150 mM NaCl,20 mM CaCl, and 20 mM Hepes at a pH of 7.4. We create a batch of factorXIII-free fibrinogen by purifying the stock solution as described in theSI Text. We polymerize un–cross-linked and cross-linked fibrin networks at25 °C by mixing 1 vol of 0.4 NIH units/mL thrombin with 1 vol of a 2 mg/mLfibrinogen solution of the factor XIII-free or factor XIII-containing fibrinogenstock, respectively. We quantify the degree of covalent cross-linking by de-naturing polyacrylamide gel electrophoresis as described in the SI Text andshown in Fig. S6.

For collagen networks, we dilute type I collagen (BD Biosciences) at 4 °Cto a final concentration of 0.9 mg/mL in 1× DMEM (Sigma-Aldrich), 25 mMHepes, and adjust the pH to 9.0 by addition of 1 M NaOH. We initiatepolymerization by heating the solution to 25 °C. To covalently cross-linkthe samples, we pipette a solution of 0.2% glutaraldehyde (Sigma) in1× PBS (Lonza) around the rheometer geometry once the networks havepolymerized for at least 45 min. We incubate the samples for 3 h beforeperforming experiments.

Rheometry. We perform all rheological experiments on an ARES-G2 (TAInstruments) strain-controlled rheometer equippedwith a 25-mmplate–plategeometry set to a gap of 400 μm. For fibrin experiments, we use commercialroughened stainless-steel plates; for collagen experiments, we use a custom-cut 25-mm poly(methyl methacrylate) disk as top plate and a petri dish as thebottom plate. We prevent evaporation by sealing the samples with mineral oil,except for experiments on cross-linked collagen. Here, we use a custom-builtsolvent trap, which allows for the addition of the cross-linking solution.

We monitor the polymerization of all samples by continuous oscillationswith a strain amplitude of 0.005 at a frequency of 1 rad/s. For fibrin samples,

we impose oscillatory cycles at 0.01 Hz in 0.2 strain steps beginning at a strainof 0.4. For collagen samples, we impose cycles at 0.1 Hz in steps of 0.02,beginning at a strain of 0.06. Additional measurements are described in SIText. All data are smoothed with a cubic spline interpolation for plotting.

Confocal Imaging. We perform all confocal experiments on a Leica SP5equipped with a 63×/1.2 N.A. water immersion lens. For the confocal strainhold experiment, we polymerize a 1 mg/mL fibrin network from a 1:5 mixtureof fibrinogen labeled with 5-(and 6)-carboxytetramethylrhodamine succini-midyl ester (TAMRA-SE) (Invitrogen) and unlabeled fibrinogen in a custom-built shear cell and visualize the full 3D structure with fluorescence confocalscanning microscopy. For single fiber pulling experiments, we create micro-structured channels on a #1 coverslip by imprinting polydimethylsiloxanestamps of ridges (20 μm wide, 10 μm high) into a drop of Norland Opticaladhesive #81 and curing the adhesive in 350-nm UV light. After removal ofthe stamp, we briefly treat the channels in an oxygen plasma and polymerizeunlabeled fibrin networks over them. We remove the majority of the net-work and visualize the remaining single fibers suspended over the channelsby confocal reflection imaging. For fiber manipulation, we sharpen a boro-silicate capillary with a commercial capillary puller and coat its tip withPEG-silane to avoid adhesion to the fibers. We mount the capillary onto anEppendorff Transferman II, which we control via custom software.

ACKNOWLEDGMENTS. We thank D. A. Vader, C. P. Broedersz, andF. C. MacKintosh for valuable discussions. This work was supported by the“Emerging Fields Initiative” of the University Erlangen-Nuremberg (Project:TOPBiomat) (to S.M. and B.F.) and by the National Science Foundationthrough the Harvard Materials Research Science and Engineering Center(DMR-0820484) (to D.A.W.).

1. Weisel JW (2004) The mechanical properties of fibrin for basic scientists and clinicians.Biophys Chem 112(2–3):267–276.

2. Gelse K, Pöschl E, Aigner T (2003) Collagens—structure, function, and biosynthesis.Adv Drug Deliv Rev 55(12):1531–1546.

3. Wood GC, Keech MK (1960) The formation of fibrils from collagen solutions. 1. Theeffect of experimental conditions: Kinetic and electron-microscope studies. Biochem J75(3):588–598.

4. Ferry JD (1952) The mechanism of polymerization of fibrinogen. Proc Natl Acad SciUSA 38(7):566–569.

5. Janmey PA, Amis EJ, Ferry JD (1983) Rheology of fibrin clots 6. Stress-relaxation, creep,and differential dynamic modulus of fine clots in large shearing deformations. J Rheol(N Y N Y) 27(2):135–153.

6. Shah JV, Janmey PA (1997) Strain hardening of fibrin gels and plasma clots. RheolActa 36(3):262–268.

7. Roeder BA, Kokini K, Sturgis JE, Robinson JP, Voytik-Harbin SL (2002) Tensile me-chanical properties of three-dimensional type I collagen extracellular matrices withvaried microstructure. J Biomech Eng 124(2):214–222.

8. Storm C, Pastore JJ, MacKintosh FC, Lubensky TC, Janmey PA (2005) Nonlinear elas-ticity in biological gels. Nature 435(7039):191–194.

9. Roberts WW, Lorand LL, Mockros LF (1973) Viscoelastic properties of fibrin clots. Bi-orheology 10(1):29–42.

10. Nelb GW, Gerth C, Ferry JD, Lorand L (1976) Rheology of fibrin clots. III. Shear creep andcreep recovery of fine ligated and coarse unligated closts. Biophys Chem 5(3):377–387.

11. Hsu S, Jamieson AM, Blackwell J (1994) Viscoelastic studies of extracellular matrixinteractions in a model native collagen gel system. Biorheology 31(1):21–36.

12. Knapp DM, et al. (1997) Rheology of reconstituted type I collagen gel in confinedcompression. J Rheol (N Y N Y) 41(5):971–993.

13. Ryan EA, Mockros LF, Weisel JW, Lorand L (1999) Structural origins of fibrin clotrheology. Biophys J 77(5):2813–2826.

14. Raub CB, et al. (2008) Image correlation spectroscopy of multiphoton images corre-lates with collagen mechanical properties. Biophys J 94(6):2361–2373.

15. Fung YC (1993) Biomechanics: Mechanical Properties of Living Tissues (Springer, NewYork), 2nd Ed.

16. Schatzmann L, Brunner P, Staubli HU (1998) Effect of cyclic preconditioning on thetensile properties of human quadriceps tendons and patellar ligaments. Knee SurgSports Traumatol Arthrosc 6(Suppl 1):S56–S61.

17. Sverdlik A, Lanir Y (2002) Time-dependent mechanical behavior of sheep digitaltendons, including the effects of preconditioning. J Biomech Eng 124(1):78–84.

18. van Dommelen JAW, et al. (2006) Nonlinear viscoelastic behavior of human kneeligaments subjected to complex loading histories. Ann Biomed Eng 34(6):1008–1018.

19. Fredenburgh JC, Stafford AR, Leslie BA, Weitz JI (2008) Bivalent binding to gammaA/gamma′-fibrin engages both exosites of thrombin and protects it from inhibition bythe antithrombin-heparin complex. J Biol Chem 283(5):2470–2477.

20. Cho KS, Hyun K, Ahn KH, Lee SJ (2005) A geometrical interpretation of large ampli-tude oscillatory shear response. J Rheol (N Y N Y) 49(3):747–758.

21. Broedersz CP, et al. (2010) Cross-link-governed dynamics of biopolymer networks.Phys Rev Lett 105(23):238101 (lett).

22. Wolff L, Fernández P, Kroy K (2012) Resolving the stiffening-softening paradox in cellmechanics. PLoS One 7(7):e40063.

23. Kabla A, Mahadevan L (2007) Nonlinear mechanics of soft fibrous networks. J R SocInterface 4(12):99–106.

24. Schmoller KM, Fernandez P, Arevalo RC, Blair DL, Bausch AR (2010) Cyclic hardeningin bundled actin networks. Nat Commun, 10.1038/ncomms1134.

25. Liu W, Carlisle CR, Sparks EA, Guthold M (2010) The mechanical properties of singlefibrin fibers. J Thromb Haemost 8(5):1030–1036.

26. Liu W, et al. (2006) Fibrin fibers have extraordinary extensibility and elasticity. Science313(5787):634.

27. Bale MD, Müller MF, Ferry JD (1985) Effects of fibrinogen-binding tetrapeptides onmechanical properties of fine fibrin clots. Proc Natl Acad Sci USA 82(5):1410–1413.

28. Shimizu A, Schindlauer G, Ferry JD (1988) Interaction of the fibrinogen-binding tet-rapeptide Gly-Pro-Arg-Pro with fine clots and oligomers of alpha-fibrin; comparisonswith alpha beta-fibrin. Biopolymers 27(5):775–788.

29. Brown AEX, Litvinov RI, Discher DE, Purohit PK, Weisel JW (2009) Multiscale me-chanics of fibrin polymer: Gel stretching with protein unfolding and loss of water.Science 325(5941):741–744.

30. Chernysh IN, Nagaswami C, Purohit PK, Weisel JW (2012) Fibrin clots are equilibriumpolymers that can be remodeled without proteolytic digestion. Sci Rep, 10.1038/srep00879.

31. Lorand L (2005) Factor XIII and the clotting of fibrinogen: From basic research tomedicine. J Thromb Haemost 3(7):1337–1348.

32. Wagenseil JE, Wakatsuki T, Okamoto RJ, Zahalak GI, Elson EL (2003) One-dimensionalviscoelastic behavior of fibroblast populated collagen matrices. J Biomech Eng 125(5):719–725.

33. Mullins L (1947) Effect of stretching on the properties of rubber. Rubber Res 16:275–289.34. Cantournet S, Desmorat R, Besson J (2009) Mullins effect and cyclic stress softening of

filled elastomers by internal sliding and friction thermodynamics model. Int J SolidsStruct 46(11–12):2255–2264.

35. Webber RE, Creton C, Brown HR, Gong JP (2007) Large strain hysteresis and mullinseffect of tough double-network hydrogels. Macromolecules 40(8):2919–2927.

36. Trepat X, et al. (2007) Universal physical responses to stretch in the living cell. Nature447(7144):592–595.

37. Kueh HY, Mitchison TJ (2009) Structural plasticity in actin and tubulin polymer dy-namics. Science 325(5943):960–963.

38. Kreplak L, Bär H, Leterrier JF, Herrmann H, Aebi U (2005) Exploring the mechanicalbehavior of single intermediate filaments. J Mol Biol 354(3):569–577.

39. Buehler MJ (2006) Nature designs tough collagen: Explaining the nanostructure ofcollagen fibrils. Proc Natl Acad Sci USA 103(33):12285–12290.

40. Gardel ML, et al. (2004) Scaling of F-actin network rheology to probe single filamentelasticity and dynamics. Phys Rev Lett 93(18):188102 (lett).

41. Fernández P, Pullarkat PA, Ott A (2006) A master relation defines the nonlinear vis-coelasticity of single fibroblasts. Biophys J 90(10):3796–3805.

42. Friedl P, et al. (1997) Migration of highly aggressive MV3 melanoma cells in 3-di-mensional collagen lattices results in local matrix reorganization and shedding ofalpha2 and beta1 integrins and CD44. Cancer Res 57(10):2061–2070.

43. Levental KR, et al. (2009) Matrix crosslinking forces tumor progression by enhancingintegrin signaling. Cell 139(5):891–906.

12202 | www.pnas.org/cgi/doi/10.1073/pnas.1222787110 Münster et al.