Volume 108, Issue 2, Pages (January 2015)

Slides:



Advertisements
Similar presentations
Volume 94, Issue 1, Pages (January 2008)
Advertisements

Volume 89, Issue 2, Pages (August 2005)
Volume 111, Issue 10, Pages (November 2016)
Negative Feedback Synchronizes Islets of Langerhans
High-Density 3D Single Molecular Analysis Based on Compressed Sensing
Rapid Assembly of a Multimeric Membrane Protein Pore
Precision and Variability in Bacterial Temperature Sensing
Volume 104, Issue 2, Pages (January 2013)
Volume 98, Issue 9, Pages (May 2010)
Volume 98, Issue 11, Pages (June 2010)
Volume 107, Issue 11, Pages (December 2014)
Kinetics of Genetic Switching into the State of Bacterial Competence
Lara Scharrel, Rui Ma, René Schneider, Frank Jülicher, Stefan Diez 
Volume 108, Issue 3, Pages (February 2015)
Phase Transitions in Biological Systems with Many Components
Volume 94, Issue 5, Pages (March 2008)
Mechanism for Triggered Waves in Atrial Myocytes
Volume 103, Issue 6, Pages (September 2012)
Negative Feedback Synchronizes Islets of Langerhans
Volume 111, Issue 2, Pages (July 2016)
Emily I. Bartle, Tara M. Urner, Siddharth S. Raju, Alexa L. Mattheyses 
Cellular Contraction Can Drive Rapid Epithelial Flows
Collective Cell Migration in Embryogenesis Follows the Laws of Wetting
Qiaochu Li, Stephen J. King, Ajay Gopinathan, Jing Xu 
Traction Forces of Neutrophils Migrating on Compliant Substrates
Nanonet Force Microscopy for Measuring Cell Forces
Geometric Asymmetry Induces Upper Limit of Mitotic Spindle Size
A 3-D Model of Ligand Transport in a Deforming Extracellular Space
Xiao-Han Li, Elizabeth Rhoades  Biophysical Journal 
Emergent Global Contractile Force in Cardiac Tissues
Volume 111, Issue 10, Pages (November 2016)
Volume 107, Issue 11, Pages (December 2014)
Volume 96, Issue 9, Pages (May 2009)
Volume 101, Issue 3, Pages (August 2011)
Volume 107, Issue 7, Pages (October 2014)
Florian Hinzpeter, Ulrich Gerland, Filipe Tostevin  Biophysical Journal 
G. Garbès Putzel, Mark J. Uline, Igal Szleifer, M. Schick 
Drift and Behavior of E. coli Cells
Volume 105, Issue 1, Pages (July 2013)
Volume 89, Issue 2, Pages (August 2005)
Actin-Regulator Feedback Interactions during Endocytosis
Rapid Assembly of a Multimeric Membrane Protein Pore
Will J. Eldridge, Zachary A. Steelman, Brianna Loomis, Adam Wax 
Stochastic Pacing Inhibits Spatially Discordant Cardiac Alternans
Volume 107, Issue 11, Pages (December 2014)
Volume 96, Issue 5, Pages (March 2009)
Volume 97, Issue 4, Pages (August 2009)
Amir H.G. Isfahani, Jonathan B. Freund  Biophysical Journal 
Volume 107, Issue 9, Pages (November 2014)
Dynamics of Active Semiflexible Polymers
Venkat Maruthamuthu, Margaret L. Gardel  Biophysical Journal 
Andrew E. Blanchard, Chen Liao, Ting Lu  Biophysical Journal 
Phosphatase Specificity and Pathway Insulation in Signaling Networks
Volume 98, Issue 2, Pages (January 2010)
Volume 108, Issue 10, Pages (May 2015)
Dynamics of Mouth Opening in Hydra
Volume 104, Issue 2, Pages (January 2013)
Matthew J. Westacott, Nurin W.F. Ludin, Richard K.P. Benninger 
Brownian Dynamics of Subunit Addition-Loss Kinetics and Thermodynamics in Linear Polymer Self-Assembly  Brian T. Castle, David J. Odde  Biophysical Journal 
Stochastic Pacing Inhibits Spatially Discordant Cardiac Alternans
Volume 94, Issue 7, Pages (April 2008)
Emily I. Bartle, Tara M. Urner, Siddharth S. Raju, Alexa L. Mattheyses 
Modelling Toehold-Mediated RNA Strand Displacement
Yongli Zhang, Junyi Jiao, Aleksander A. Rebane  Biophysical Journal 
Mechanotransduction Dynamics at the Cell-Matrix Interface
Volume 97, Issue 5, Pages (September 2009)
Yuri G. Strukov, A.S. Belmont  Biophysical Journal 
Ai Kia Yip, Pei Huang, Keng-Hwee Chiam  Biophysical Journal 
Jérémie Barral, Frank Jülicher, Pascal Martin  Biophysical Journal 
George D. Dickinson, Ian Parker  Biophysical Journal 
Presentation transcript:

Volume 108, Issue 2, Pages 431-437 (January 2015) Stochastic Interdigitation as a Toughening Mechanism at the Interface between Tendon and Bone  Yizhong Hu, Victor Birman, Alix Deymier-Black, Andrea G. Schwartz, Stavros Thomopoulos, Guy M. Genin  Biophysical Journal  Volume 108, Issue 2, Pages 431-437 (January 2015) DOI: 10.1016/j.bpj.2014.09.049 Copyright © 2015 Biophysical Society Terms and Conditions

Figure 1 (A) Image of the tendon-to-bone attachment site at a mouse rotator cuff, stained with von Kossa (black) and toluidine blue. The mineralized tissue is stained black and the unmineralized tissue is stained purple. (Dotted yellow line) Interdigitation at the interface, which roughly resembles a sinusoidal wave with approximately the same width but varying amplitude. (Scale bar: 50 μm). (B) Definition of variables in the perturbation model. A sinusoid with wavelength λ and amplitude A was used to model the interface. (C) The Monte Carlo simulation was constructed by combining multiple strips of constant width. Each strip had a tendon region (top) and a bone region (bottom), separated by a single period of a cosine wave. The value for the amplitude was chosen from a normal distribution with assigned mean and standard deviation. (Arrows) Applied tensile displacement perpendicular to the boundary between tendon and bone. To see this figure in color, go online. Biophysical Journal 2015 108, 431-437DOI: (10.1016/j.bpj.2014.09.049) Copyright © 2015 Biophysical Society Terms and Conditions

Figure 2 Physiological data from six mouse tendon-to-bone attachments show that the ratios of height and width of the protrusions followed an approximately normal distribution with a slight right skew. These values represent a sample size of >100 interdigitations in the six mice studied, yielding a margin of error <10% at the 95% confidence level. The mean value was 0.14 and the standard deviation was 0.53 when normalized by the mean. To see this figure in color, go online. Biophysical Journal 2015 108, 431-437DOI: (10.1016/j.bpj.2014.09.049) Copyright © 2015 Biophysical Society Terms and Conditions

Figure 3 Results of three simulations with the same mean and different normalized standard deviation s in the distribution of the amplitude of 500 strips. For s = 0, the interface of every unit cell had the same height. Force increased linearly with displacement and was evenly distributed among all unit cells. When the maximum allowable stress was achieved, every strip failed simultaneously, resulting in an instantaneous drop in force. For s = 0.05, strips with the highest amplitude A failed first due to higher stress concentrations, resulting in a deviation from the linear relationship. Strips with lower-amplitude sustained loads to a larger displacement, allowing the model to reach a higher displacement before failure. When s was further increased to 0.1, the peak force was reached earlier and the maximum displacement was further increased. Biophysical Journal 2015 108, 431-437DOI: (10.1016/j.bpj.2014.09.049) Copyright © 2015 Biophysical Society Terms and Conditions

Figure 4 (A) As stochasticity of the degree of interdigitation (standard deviation s of A/λ) increased, the predicted strength (maximum stress) that the tendon-to-bone insertion could endure decreased. This effect was accentuated for higher mean values of A/λ. Error bars correspond to standard deviation from up to 20 replicate simulations. (B) Contours represent the mean strength loss expressed as a fraction of the strength of a tendon-to-bone attachment with a flat interface between tendon and bone. (C) As stochasticity of the degree of interdigitation (standard deviation s of A/λ) increased, the predicted toughness of the tendon-to-bone insertion increased. This effect was accentuated for higher mean values of A/λ. Error bars correspond to standard deviation from up to 20 replicate simulations. (D) Contours represent the mean toughness gain expected relative to the toughness of a tendon-to-bone attachment with a flat interface between tendon and bone. To see this figure in color, go online. Biophysical Journal 2015 108, 431-437DOI: (10.1016/j.bpj.2014.09.049) Copyright © 2015 Biophysical Society Terms and Conditions

Figure 5 Using the contour plots (Fig. 4), the strength loss and toughness gain at each combination of s and A/λ were compared. (Solid line) Parameters that yield equivalent toughness gain and strength loss. (Shaded region) Combinations of s and A/λ for which the gain in toughness exceeds the loss of strength. The physiological values of s and A/λ (symbols) lie within this range. These values represent a sample size of >100 interdigitations in the six mice studied, which yields a margin of error <10% at the 95% confidence level. To see this figure in color, go online. Biophysical Journal 2015 108, 431-437DOI: (10.1016/j.bpj.2014.09.049) Copyright © 2015 Biophysical Society Terms and Conditions