SlideShare a Scribd company logo
1 of 1
TEMPLATE DESIGN © 2009
www.PosterPresentations.com
ECM Stiffness and Modulus as Independent Controllers of
Cancer Metastasis
Stiffness: Defined as F/ΔL where F is the force
applied to a material in a single direction and ΔL is
the change in length in the same direction. Stiffness
is an extrinsic property and is geometrically
dependent.
Modulus: Defined as (F/A)/(ΔL/L), where A is the
cross sectional area through which the force is
applied and L is the original length of the object.
Modulus is a normalized form of stiffness thus
making it an intrinsic property (independent of
geometry).
Ligand Availability: The concentration of protein
in the microenvironment that create potential
binding sites for transmembrane proteins and other
molecules located at the cell’s outer surface.
Materials and Methods
Conclusions
Acknowledgments
References
Exploring
Engineered
Cells Summer
REU
NSF EEC-1005083
Objective: To observe the changes in cell
migration and adhesion under the influence of
varying mechanical and biochemical cues during
breast cancer metastasis. We have created novel
biomaterials which mimic the extracellular matrix
(ECM) of the “primary tumor” site.
Adhesion Experiment
Polarization is indicative of directionality
and the cell’s “readiness” to migrate.
Rate of adhesion is quantified by measuring
the two-dimensional cell area in contact with
the gel surface as a function of time.
Time 0 Cell Spreading Cell Polarized
Migration Experiment
Cells are allowed to become fully
adhered and polarized overnight (12hrs).
Cells are tracked at 15 minute intervals
for a total of 12 hours. The cells’
trajectories are tracked, which allows for
the calculation of their velocity using
Imaris software and a Brownian Motion
based algorithm.
Results and Discussion
Metastasis: is the translocation of a
cancer cell from the primary tumor
site to a non-adjacent tissue by
means of the circulatory or
lymphatic systems.
•Over 90% of deaths result from
cancer metastasis
Figure 3 [3] Illustrates the many ways in which the
extracellular matrix (ECM) can influence the behavior of a
cell.
Figure 2 [2] Illustrates the pathways which may be taken by a
departed cell
Figure 1 [1]
Cells are motivated to metastasize by three
major types of stimuli…
• biochemical (protein concentration)
• mechanical (resting to active state)
• topography (material surface cues)
h
Modulus is
dependent on
PEG
crosslinking
ratio.
Stiffness is
determined
by the height
of the PEG-
MPC gel.
Spacers: 7,
14, 24um
height
1. Place spacers onto Methacrylate treated
coverslip. Add Sigmacote coverslip on top,
clamp down with small binder clips.
2. Flow in PEGMPC solution in-between
coverslips.
3. Photo crosslink with UV for 7mins (3
samples per time interval)
4. Store coverslip-gel assembly in 1x PBS
until Sigmacote coverslip floats off wafer.
PEGMPC Gel Preparation
1.
2.
3.
4.
Tested Sample Testing Method Measured Parameter Measured value Stiffness *
Mammary Gland1
Unconfined
Compression Test
Elastic Modulus of Normal
to Premalignant to Invasive
Cancer
200~2000 Pa 0.004-0.04
N/m
Human Breast
Carcinoma2
MR elastography
(MRE)
Elastic Modulus
60-100 Pa 1.2-2 N/m
Normal Breast Tissue
Active State 3
Indentation, MRI Elastic Modulus 0.4-2 kPa
4-12 kPa
0.008-0.04
N/m
0.08-0.24
N/m
PEGDMA gels4
Tensile
Compression Test
Tensile Modulus 13.7-423.9 kPa 0.06-2 N/m
Polyacrylamide gels5
Compression Test Young’s Modulus 1.0-308 kPa 0.06-0.62
N/m
Relative Modulus and Stiffness of Biological and Material Samples
Figure 4 [4]
Figure 6. [6] The modulus value of our gels fell within the
same range as mammary gland tissue.
Mechanical Testing of PEGMPC hydrogels
Figure 5. [5] Modulus testing was done with a constant 20% MPC
concentration and varying PEG. Our gels consisted of 10% PEG.
Background Ligand Availability was controlled by the concentration of monomeric collagen I covalently bound
to the surface of the PEG-MPC gels. The gels were Sulfo-SANPAH treated to aid in covalent
bonding of Collagen I to the PEG-MPC hydrogel.
[1] 2011, American Cancer Society, Inc, Surveilliance Research
[2] http://geneticaysexologiaintegral.blogspot.com/2012/06/metastasis-en-cancer-de-mama.html
[3] Pengfei Lu, Valerie M. Weaver, and Zena Werb. 2012. The extracellular matrix: A dynamic niche in cancer
progression. JCB. 196. 395-406
[4] Dannielle Ryman. 2012. University of Massachusetts Amherst.
[5] Will Herrick. 2012. University of Massachusetts Amherst.
[6] Dannielle Ryman. 2012. University of Massachusetts Amherst.
Levental, K. R., Yu, H., Kass, L., Lakins, J. N., Egeblad, M., Erler, J. T., Fong, S. F. T., et al. (2009). Matrix
crosslinking forces tumor progression by enhancing integrin signaling. Cell, 139(5), 891-906. Elsevier Ltd.
doi:10.1016/j.cell.2009.10.027
Chaz Cuckler1
Dannielle Ryman2
Shelly Peyton2
Ohio University Athens1
, University of Massachusetts Amherst 2
A special thanks to Dannielle Ryman, Shelly Peyton,
Aidan Gilchrist, and the ICE REU program
This material is based upon work supported by the National
Science Foundation under Grant No. EEC-1005083
Cells exposed to the higher collagen I concentration adhere to the gel surface at a slower rate, but are
more readily polarized and thus become capable of migrating more quickly. These cells also migrate
at a quicker pace, particularly at the 14um gel height. This suggests that a higher collagen
concentration and a stiffness corresponding to a 14um gel correlates to cells that are more likely to
metastasize in an in vivo environment. Cell adhesion and polarization appears to be independent of
stiffness (gel height), but further testing may unveil a relationship at greater gel heights (less stiff)
that cannot be appreciated at these levels. A significant difference in migration velocity is observed
only at a 14um gel height, but further testing may show this to occur at a different range of
stiffnesses.
Cell adhesion is independent of
gel height and therefore stiffness,
but is dependent on collagen I
concentration. The lower collagen
I concentration result a faster rate
of cell spreading.
The percentage of cells polarized at
each condition by the end of the 160
min time interval is greatest for the
cells exposed to the higher collagen I
concentration.
At lower collagen concentrations
velocity decreases as stiffness
increases. At higher collagen
concentrations stiffness demonstrates
a biphasic response.
MDA MB-231 Cell Migration
1 and 10 µg/cm2
Collagen I
Gel Height
Velocity(µm/hr)
24µm 14µm 7µm
0
10
20
30
40
50
1ug/cm2
10ug/cm2

More Related Content

What's hot

Estrogen-induced chromatin decondensation and nuclear re-organization linked ...
Estrogen-induced chromatin decondensation and nuclear re-organization linked ...Estrogen-induced chromatin decondensation and nuclear re-organization linked ...
Estrogen-induced chromatin decondensation and nuclear re-organization linked ...
Sehrish Rafique
 
Majumder_B_et_al_Nature_Communications_2015
Majumder_B_et_al_Nature_Communications_2015Majumder_B_et_al_Nature_Communications_2015
Majumder_B_et_al_Nature_Communications_2015
Joelle Lynn Kord
 
Microhomology in Genomic Stuctural Variation - Diego Ottaviani, Magdalena Lec...
Microhomology in Genomic Stuctural Variation - Diego Ottaviani, Magdalena Lec...Microhomology in Genomic Stuctural Variation - Diego Ottaviani, Magdalena Lec...
Microhomology in Genomic Stuctural Variation - Diego Ottaviani, Magdalena Lec...
Denise Sheer
 
Numerical Prediction of Microbubble Attachment in Biological Flows (2)
Numerical Prediction of Microbubble Attachment in Biological Flows (2)Numerical Prediction of Microbubble Attachment in Biological Flows (2)
Numerical Prediction of Microbubble Attachment in Biological Flows (2)
Joshua Gosney
 
Unit 6 unit at a glance
Unit 6 unit at a glanceUnit 6 unit at a glance
Unit 6 unit at a glance
sbarkanic
 
CHARACTERIZATION OF BIOCONJUGATED CHLOROTOXIN BINDING TO POPULATIONS OF NEURA...
CHARACTERIZATION OF BIOCONJUGATED CHLOROTOXIN BINDING TO POPULATIONS OF NEURA...CHARACTERIZATION OF BIOCONJUGATED CHLOROTOXIN BINDING TO POPULATIONS OF NEURA...
CHARACTERIZATION OF BIOCONJUGATED CHLOROTOXIN BINDING TO POPULATIONS OF NEURA...
Allison Mitchell
 

What's hot (19)

Characterization of the adhesive interactions between cells and biomaterials
Characterization of the adhesive interactions between cells and biomaterialsCharacterization of the adhesive interactions between cells and biomaterials
Characterization of the adhesive interactions between cells and biomaterials
 
SCT60103 Group 2 Presentation
SCT60103 Group 2 PresentationSCT60103 Group 2 Presentation
SCT60103 Group 2 Presentation
 
SCT60103 - Chemotherapy
SCT60103 - Chemotherapy SCT60103 - Chemotherapy
SCT60103 - Chemotherapy
 
Estrogen-induced chromatin decondensation and nuclear re-organization linked ...
Estrogen-induced chromatin decondensation and nuclear re-organization linked ...Estrogen-induced chromatin decondensation and nuclear re-organization linked ...
Estrogen-induced chromatin decondensation and nuclear re-organization linked ...
 
Pizza club - January 2017 - Kamil
Pizza club - January 2017 - KamilPizza club - January 2017 - Kamil
Pizza club - January 2017 - Kamil
 
Cytoo story-epithelial-morphogenesis
Cytoo story-epithelial-morphogenesisCytoo story-epithelial-morphogenesis
Cytoo story-epithelial-morphogenesis
 
MAOP Poster
MAOP PosterMAOP Poster
MAOP Poster
 
A physical sciences network characterization of non-tumorigenic and metastati...
A physical sciences network characterization of non-tumorigenic and metastati...A physical sciences network characterization of non-tumorigenic and metastati...
A physical sciences network characterization of non-tumorigenic and metastati...
 
Majumder_B_et_al_Nature_Communications_2015
Majumder_B_et_al_Nature_Communications_2015Majumder_B_et_al_Nature_Communications_2015
Majumder_B_et_al_Nature_Communications_2015
 
Microhomology in Genomic Stuctural Variation - Diego Ottaviani, Magdalena Lec...
Microhomology in Genomic Stuctural Variation - Diego Ottaviani, Magdalena Lec...Microhomology in Genomic Stuctural Variation - Diego Ottaviani, Magdalena Lec...
Microhomology in Genomic Stuctural Variation - Diego Ottaviani, Magdalena Lec...
 
Thesis Poster (1)
Thesis Poster (1)Thesis Poster (1)
Thesis Poster (1)
 
Abstract.Rasoul.seyedmahmoud
Abstract.Rasoul.seyedmahmoudAbstract.Rasoul.seyedmahmoud
Abstract.Rasoul.seyedmahmoud
 
Mikrotubulus
MikrotubulusMikrotubulus
Mikrotubulus
 
Numerical Prediction of Microbubble Attachment in Biological Flows (2)
Numerical Prediction of Microbubble Attachment in Biological Flows (2)Numerical Prediction of Microbubble Attachment in Biological Flows (2)
Numerical Prediction of Microbubble Attachment in Biological Flows (2)
 
Tubuliinnn
TubuliinnnTubuliinnn
Tubuliinnn
 
Unit 6 unit at a glance
Unit 6 unit at a glanceUnit 6 unit at a glance
Unit 6 unit at a glance
 
CHARACTERIZATION OF BIOCONJUGATED CHLOROTOXIN BINDING TO POPULATIONS OF NEURA...
CHARACTERIZATION OF BIOCONJUGATED CHLOROTOXIN BINDING TO POPULATIONS OF NEURA...CHARACTERIZATION OF BIOCONJUGATED CHLOROTOXIN BINDING TO POPULATIONS OF NEURA...
CHARACTERIZATION OF BIOCONJUGATED CHLOROTOXIN BINDING TO POPULATIONS OF NEURA...
 
Plegable power point presentation
Plegable power point presentation Plegable power point presentation
Plegable power point presentation
 
Majority Voting Approach for the Identification of Differentially Expressed G...
Majority Voting Approach for the Identification of Differentially Expressed G...Majority Voting Approach for the Identification of Differentially Expressed G...
Majority Voting Approach for the Identification of Differentially Expressed G...
 

Similar to posterchazfinal-1

2D CAT Based Modeling of Tumour Growth and Drug Transport
2D CAT Based Modeling of Tumour Growth and Drug Transport2D CAT Based Modeling of Tumour Growth and Drug Transport
2D CAT Based Modeling of Tumour Growth and Drug Transport
Editor IJMTER
 
Weber_FinalProposal
Weber_FinalProposalWeber_FinalProposal
Weber_FinalProposal
Anna Weber
 
2015 City of Hope Summer Research
2015 City of Hope Summer Research 2015 City of Hope Summer Research
2015 City of Hope Summer Research
Joy Cai
 
In vitro and in vivo models of cancer.docx
In vitro and in vivo models of cancer.docxIn vitro and in vivo models of cancer.docx
In vitro and in vivo models of cancer.docx
write4
 
Ellison MolBioSys b905602e published (2)
Ellison MolBioSys b905602e published (2)Ellison MolBioSys b905602e published (2)
Ellison MolBioSys b905602e published (2)
Dr David Ellison
 
ACES-bulletpoint2
ACES-bulletpoint2ACES-bulletpoint2
ACES-bulletpoint2
Sylvia Loh
 
2015 Gupta Ellison Integrative Bio (2)
2015 Gupta Ellison Integrative Bio (2)2015 Gupta Ellison Integrative Bio (2)
2015 Gupta Ellison Integrative Bio (2)
Dr David Ellison
 

Similar to posterchazfinal-1 (20)

2D CAT Based Modeling of Tumour Growth and Drug Transport
2D CAT Based Modeling of Tumour Growth and Drug Transport2D CAT Based Modeling of Tumour Growth and Drug Transport
2D CAT Based Modeling of Tumour Growth and Drug Transport
 
Weber_FinalProposal
Weber_FinalProposalWeber_FinalProposal
Weber_FinalProposal
 
Weber-Thesis
Weber-ThesisWeber-Thesis
Weber-Thesis
 
2015 City of Hope Summer Research
2015 City of Hope Summer Research 2015 City of Hope Summer Research
2015 City of Hope Summer Research
 
Cancer cell lines
Cancer cell linesCancer cell lines
Cancer cell lines
 
Growth Kinetics of 2- and 3-D Cell Models as Influenced by the Microenvironment
Growth Kinetics of 2- and 3-D Cell Models as Influenced by the MicroenvironmentGrowth Kinetics of 2- and 3-D Cell Models as Influenced by the Microenvironment
Growth Kinetics of 2- and 3-D Cell Models as Influenced by the Microenvironment
 
paper 2
paper 2paper 2
paper 2
 
Engineering cells
Engineering cellsEngineering cells
Engineering cells
 
Engineering cells
Engineering cellsEngineering cells
Engineering cells
 
Engineering cells
Engineering cellsEngineering cells
Engineering cells
 
Engineering cells
Engineering cellsEngineering cells
Engineering cells
 
Abstract piis0022202 x1831114x
Abstract piis0022202 x1831114xAbstract piis0022202 x1831114x
Abstract piis0022202 x1831114x
 
Bioengineered 3D Co culture Lung In Vitro Models: Platforms to Integrate Cell...
Bioengineered 3D Co culture Lung In Vitro Models: Platforms to Integrate Cell...Bioengineered 3D Co culture Lung In Vitro Models: Platforms to Integrate Cell...
Bioengineered 3D Co culture Lung In Vitro Models: Platforms to Integrate Cell...
 
PONE2013_VecslerM
PONE2013_VecslerMPONE2013_VecslerM
PONE2013_VecslerM
 
In vitro and in vivo models of cancer.docx
In vitro and in vivo models of cancer.docxIn vitro and in vivo models of cancer.docx
In vitro and in vivo models of cancer.docx
 
Ellison MolBioSys b905602e published (2)
Ellison MolBioSys b905602e published (2)Ellison MolBioSys b905602e published (2)
Ellison MolBioSys b905602e published (2)
 
ACES-bulletpoint2
ACES-bulletpoint2ACES-bulletpoint2
ACES-bulletpoint2
 
2015 Gupta Ellison Integrative Bio (2)
2015 Gupta Ellison Integrative Bio (2)2015 Gupta Ellison Integrative Bio (2)
2015 Gupta Ellison Integrative Bio (2)
 
Gene therapy
Gene therapyGene therapy
Gene therapy
 
bioph Abstract
bioph Abstractbioph Abstract
bioph Abstract
 

posterchazfinal-1

  • 1. TEMPLATE DESIGN © 2009 www.PosterPresentations.com ECM Stiffness and Modulus as Independent Controllers of Cancer Metastasis Stiffness: Defined as F/ΔL where F is the force applied to a material in a single direction and ΔL is the change in length in the same direction. Stiffness is an extrinsic property and is geometrically dependent. Modulus: Defined as (F/A)/(ΔL/L), where A is the cross sectional area through which the force is applied and L is the original length of the object. Modulus is a normalized form of stiffness thus making it an intrinsic property (independent of geometry). Ligand Availability: The concentration of protein in the microenvironment that create potential binding sites for transmembrane proteins and other molecules located at the cell’s outer surface. Materials and Methods Conclusions Acknowledgments References Exploring Engineered Cells Summer REU NSF EEC-1005083 Objective: To observe the changes in cell migration and adhesion under the influence of varying mechanical and biochemical cues during breast cancer metastasis. We have created novel biomaterials which mimic the extracellular matrix (ECM) of the “primary tumor” site. Adhesion Experiment Polarization is indicative of directionality and the cell’s “readiness” to migrate. Rate of adhesion is quantified by measuring the two-dimensional cell area in contact with the gel surface as a function of time. Time 0 Cell Spreading Cell Polarized Migration Experiment Cells are allowed to become fully adhered and polarized overnight (12hrs). Cells are tracked at 15 minute intervals for a total of 12 hours. The cells’ trajectories are tracked, which allows for the calculation of their velocity using Imaris software and a Brownian Motion based algorithm. Results and Discussion Metastasis: is the translocation of a cancer cell from the primary tumor site to a non-adjacent tissue by means of the circulatory or lymphatic systems. •Over 90% of deaths result from cancer metastasis Figure 3 [3] Illustrates the many ways in which the extracellular matrix (ECM) can influence the behavior of a cell. Figure 2 [2] Illustrates the pathways which may be taken by a departed cell Figure 1 [1] Cells are motivated to metastasize by three major types of stimuli… • biochemical (protein concentration) • mechanical (resting to active state) • topography (material surface cues) h Modulus is dependent on PEG crosslinking ratio. Stiffness is determined by the height of the PEG- MPC gel. Spacers: 7, 14, 24um height 1. Place spacers onto Methacrylate treated coverslip. Add Sigmacote coverslip on top, clamp down with small binder clips. 2. Flow in PEGMPC solution in-between coverslips. 3. Photo crosslink with UV for 7mins (3 samples per time interval) 4. Store coverslip-gel assembly in 1x PBS until Sigmacote coverslip floats off wafer. PEGMPC Gel Preparation 1. 2. 3. 4. Tested Sample Testing Method Measured Parameter Measured value Stiffness * Mammary Gland1 Unconfined Compression Test Elastic Modulus of Normal to Premalignant to Invasive Cancer 200~2000 Pa 0.004-0.04 N/m Human Breast Carcinoma2 MR elastography (MRE) Elastic Modulus 60-100 Pa 1.2-2 N/m Normal Breast Tissue Active State 3 Indentation, MRI Elastic Modulus 0.4-2 kPa 4-12 kPa 0.008-0.04 N/m 0.08-0.24 N/m PEGDMA gels4 Tensile Compression Test Tensile Modulus 13.7-423.9 kPa 0.06-2 N/m Polyacrylamide gels5 Compression Test Young’s Modulus 1.0-308 kPa 0.06-0.62 N/m Relative Modulus and Stiffness of Biological and Material Samples Figure 4 [4] Figure 6. [6] The modulus value of our gels fell within the same range as mammary gland tissue. Mechanical Testing of PEGMPC hydrogels Figure 5. [5] Modulus testing was done with a constant 20% MPC concentration and varying PEG. Our gels consisted of 10% PEG. Background Ligand Availability was controlled by the concentration of monomeric collagen I covalently bound to the surface of the PEG-MPC gels. The gels were Sulfo-SANPAH treated to aid in covalent bonding of Collagen I to the PEG-MPC hydrogel. [1] 2011, American Cancer Society, Inc, Surveilliance Research [2] http://geneticaysexologiaintegral.blogspot.com/2012/06/metastasis-en-cancer-de-mama.html [3] Pengfei Lu, Valerie M. Weaver, and Zena Werb. 2012. The extracellular matrix: A dynamic niche in cancer progression. JCB. 196. 395-406 [4] Dannielle Ryman. 2012. University of Massachusetts Amherst. [5] Will Herrick. 2012. University of Massachusetts Amherst. [6] Dannielle Ryman. 2012. University of Massachusetts Amherst. Levental, K. R., Yu, H., Kass, L., Lakins, J. N., Egeblad, M., Erler, J. T., Fong, S. F. T., et al. (2009). Matrix crosslinking forces tumor progression by enhancing integrin signaling. Cell, 139(5), 891-906. Elsevier Ltd. doi:10.1016/j.cell.2009.10.027 Chaz Cuckler1 Dannielle Ryman2 Shelly Peyton2 Ohio University Athens1 , University of Massachusetts Amherst 2 A special thanks to Dannielle Ryman, Shelly Peyton, Aidan Gilchrist, and the ICE REU program This material is based upon work supported by the National Science Foundation under Grant No. EEC-1005083 Cells exposed to the higher collagen I concentration adhere to the gel surface at a slower rate, but are more readily polarized and thus become capable of migrating more quickly. These cells also migrate at a quicker pace, particularly at the 14um gel height. This suggests that a higher collagen concentration and a stiffness corresponding to a 14um gel correlates to cells that are more likely to metastasize in an in vivo environment. Cell adhesion and polarization appears to be independent of stiffness (gel height), but further testing may unveil a relationship at greater gel heights (less stiff) that cannot be appreciated at these levels. A significant difference in migration velocity is observed only at a 14um gel height, but further testing may show this to occur at a different range of stiffnesses. Cell adhesion is independent of gel height and therefore stiffness, but is dependent on collagen I concentration. The lower collagen I concentration result a faster rate of cell spreading. The percentage of cells polarized at each condition by the end of the 160 min time interval is greatest for the cells exposed to the higher collagen I concentration. At lower collagen concentrations velocity decreases as stiffness increases. At higher collagen concentrations stiffness demonstrates a biphasic response. MDA MB-231 Cell Migration 1 and 10 µg/cm2 Collagen I Gel Height Velocity(µm/hr) 24µm 14µm 7µm 0 10 20 30 40 50 1ug/cm2 10ug/cm2