A Simple Framework for Agent-Based Modeling with Extracellular Matrix
John Metzcar,
No information about this author
Ben Duggan,
No information about this author
Brandon Fischer
No information about this author
et al.
Bulletin of Mathematical Biology,
Journal Year:
2025,
Volume and Issue:
87(3)
Published: Feb. 12, 2025
Abstract
Extracellular
matrix
(ECM)
is
a
key
component
of
the
cellular
microenvironment
and
critical
in
multiple
disease
developmental
processes.
Representing
ECM
cell-ECM
interactions
challenging
multiscale
problem
as
they
span
molecular-level
details
to
tissue-level
dynamics.
While
several
computational
frameworks
exist
for
modeling,
often
focus
on
very
detailed
modeling
individual
fibers
or
represent
only
single
aspect
ECM.
Using
PhysiCell
agent-based
platform,
we
developed
framework
intermediate
detail
with
ability
capture
bidirectional
interactions.
We
small
region
ECM,
an
element,
three
variables
describing
its
local
microstructure:
anisotropy,
density,
overall
fiber
orientation.
To
spatially
model
use
array
elements.
Cells
remodel
microstructure
turn,
impacts
motility.
demonstrate
utility
this
reusability
core
interaction
through
examples
invasion,
wound
healing,
basement
membrane
degradation,
leader-follower
collective
migration.
Despite
relative
simplicity
framework,
it
able
broad
range
interest
community.
Furthermore,
representing
are
accessible
simple
programming
interfaces.
This
allows
them
impact
cell
behaviors,
such
proliferation
death,
without
requiring
custom
code
each
interaction,
particularly
PhysiCell’s
grammar,
enabling
rapid
diverse
cell-matrix
biology.
make
available
free
open
source
software
package
at
https://github.com/PhysiCell-Models/collective-invasion
.
Language: Английский
A hybrid computational model of cancer spheroid growth with ribose-induced collagen stiffening
Margherita Botticelli,
No information about this author
John Metzcar,
No information about this author
Thomas Phillips
No information about this author
et al.
Frontiers in Bioengineering and Biotechnology,
Journal Year:
2025,
Volume and Issue:
13
Published: April 9, 2025
Metastasis,
the
leading
cause
of
death
in
cancer
patients,
arises
when
cells
disseminate
from
a
primary
solid
tumour
to
distant
organs.
Growth
and
invasion
often
involve
collective
cell
migration,
which
is
profoundly
influenced
by
cell-cell
interactions
extracellular
matrix
(ECM).
The
ECM's
biochemical
composition
mechanical
properties,
such
as
stiffness,
regulate
behaviour
migration
dynamics.
Mathematical
modelling
serves
pivotal
tool
for
studying
predicting
these
complex
dynamics,
with
hybrid
discrete-continuous
models
offering
powerful
approach
combining
agent-based
representations
continuum
descriptions
surrounding
microenvironment.
In
this
study,
we
investigate
impact
ECM
modulated
via
ribose-induced
collagen
cross-linking,
on
spheroid
growth
invasion.
We
employed
model
implemented
PhysiCell
simulate
successfully
replicating
three-dimensional
vitro
experiments.
incorporates
detailed
cell-ECM
interactions,
remodelling,
proliferation.
Our
simulations
align
experimental
observations
two
breast
lines,
non-invasive
MCF7
invasive
HCC
1954,
under
varying
stiffness
conditions.
results
demonstrate
that
increased
due
cross-linking
inhibits
cells,
whereas
remain
largely
unaffected.
Furthermore,
our
show
higher
degradation
not
only
enables
but
also
facilitates
formation
multicellular
protrusions.
Conversely,
increasing
maximum
speed
can
reach
enhances
while
promoting
single-cell
This
understanding
interplay
between
proliferation,
paving
way
future
studies
incorporating
additional
characteristics
microenvironmental
Language: Английский
A simple framework for agent-based modeling with extracellular matrix
John Metzcar,
No information about this author
Ben Duggan,
No information about this author
Brandon Fischer
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Nov. 22, 2022
Abstract
Extracellular
matrix
(ECM)
is
a
key
component
of
the
cellular
microenvironment
and
critical
in
multiple
disease
developmental
processes.
Representing
ECM
cell-ECM
interactions
challenging
multiscale
problem
as
they
span
molecular-level
details
to
tissue-level
dynamics.
While
several
computational
frameworks
exist
for
modeling,
often
focus
on
very
detailed
modeling
individual
fibers
or
represent
only
single
aspect
ECM.
Using
PhysiCell
agent-based
platform,
we
developed
framework
intermediate
detail
with
ability
capture
bidirectional
interactions.
We
small
region
ECM,
an
element,
three
variables
describing
its
local
microstructure:
anisotropy,
density,
overall
fiber
orientation.
To
spatially
model
use
array
elements.
Cells
remodel
microstructure
turn,
impacts
motility.
demonstrate
utility
this
reusability
core
interaction
through
examples
invasion,
wound
healing,
basement
membrane
degradation,
leader-follower
collective
migration.
Despite
relative
simplicity
framework,
it
able
broad
range
interest
community.
Furthermore,
representing
are
accessible
simple
programming
interfaces.
This
allows
them
impact
cell
behaviors,
such
proliferation
death,
without
requiring
custom
code
each
interaction,
particularly
PhysiCell’s
grammar,
enabling
rapid
diverse
cell-matrix
biology.
make
available
free
open
source
software
package
at
https://github.com/PhysiCell-Models/collective-invasion
.
Language: Английский