Advanced Therapeutics,
Journal Year:
2024,
Volume and Issue:
7(12)
Published: Nov. 9, 2024
Abstract
The
present
review
provides
a
comprehensive
overview
of
the
current
state
in
vitro
cancer
studies,
focusing
on
recent
advancements
and
ongoing
cell
culture
models
analyses
techniques.
Cancer
cells
grow
complex
dynamic
environment,
interacting
with
various
cellular
components,
such
as
stromal
cells,
cancer‐associated
fibroblasts,
immune
extracellular
matrix
(ECM).
ECM
structural
support
unique
characteristics
essential
for
tumorigenesis.
Accurately
modeling
this
intricate
tumor
microenvironment
precisely
analyzing
cell–cell
cell–ECM
interactions
are
crucial
understanding
progression
therapeutic
responses.
Consequently,
oncology
research
is
advancing
toward
a)
three‐dimensional
models,
b)
single‐cell
level
analyses,
c)
live‐cell
analyses.
This
aims
to
elucidate
knowledge
field,
emphasizing
benefits
these
innovative
approaches
offer
over
traditional
two‐dimensional
bulk
endpoint
measurements.
Current Opinion in Structural Biology,
Journal Year:
2024,
Volume and Issue:
87, P. 102842 - 102842
Published: May 25, 2024
Artificial
intelligence
(AI)
and
high-content
imaging
(HCI)
are
contributing
to
advancements
in
drug
discovery,
propelled
by
the
recent
progress
deep
neural
networks.
This
review
highlights
AI's
role
analysis
of
HCI
data
from
fixed
live-cell
imaging,
enabling
novel
label-free
multi-channel
fluorescent
screening
methods,
improving
compound
profiling.
experiments
rapid
cost-effective,
facilitating
large
set
accumulation
for
AI
model
training.
However,
success
discovery
also
depends
on
high-quality
data,
reproducible
experiments,
robust
validation
ensure
performance.
Despite
challenges
like
need
annotated
compounds
managing
vast
image
potential
phenotypic
profiling
is
significant.
Future
improvements
AI,
including
increased
interpretability
integration
multiple
modalities,
expected
solidify
HCI's
discovery.
Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 17, 2025
Abstract
Circulating
tumor
cells
(CTCs)
are
pivotal
biomarkers
in
metastasis,
however,
the
underlying
molecular
mechanism
of
CTCs
behavioral
heterogeneity
during
metastasis
remains
unexplored.
Here,
an
integrative
workflow
is
developed
to
link
behavior
characteristics
metabolic
profiling
within
individual
CTCs,
which
simulates
metastatic
process
on
a
microfluidic
system
and
combined
with
single‐cell
mass
spectrometry
(MS)
detection.
Spheroid‐derived
HCT116
tracked
extracted
via
temporary
vascular
system,
revealing
various
arrest
patterns
under
biomimetic
shear
flow.
Downstream
MS
analysis
characterizes
17
cellular
metabolites
associates
profiles
de‐adhesion
behaviors
same
identifying
potential
high‐metastatic
subpopulation
enhanced
ability
evaluating
critical
involved
pathways.
Additionally,
metastasis‐inhibiting
effect
anti‐tumor
drug
5‐fluorouracil
by
reducing
spheroids
elucidated.
This
approach
offers
valuable
opportunity
dissect
interplay
foster
insights
into
mechanisms
phenotypes
process.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 20, 2023
Abstract
Cells
are
a
fundamental
unit
of
biological
organization,
and
identifying
them
in
imaging
data
–
cell
segmentation
is
critical
task
for
various
cellular
experiments.
While
deep
learning
methods
have
led
to
substantial
progress
on
this
problem,
most
models
use
specialist
that
work
well
specific
domains.
Methods
learned
the
general
notion
“what
cell”
can
identify
across
different
domains
proven
elusive.
In
work,
we
present
CellSAM,
foundation
model
generalizes
diverse
data.
CellSAM
builds
top
Segment
Anything
Model
(SAM)
by
developing
prompt
engineering
approach
mask
generation.
We
train
an
object
detector,
CellFinder,
automatically
detect
cells
SAM
generate
segmentations.
show
allows
single
achieve
human-level
performance
segmenting
images
mammalian
(in
tissues
culture),
yeast,
bacteria
collected
modalities.
has
strong
zero-shot
be
improved
with
few
examples
via
few-shot
learning.
also
unify
bioimaging
analysis
workflows
such
as
spatial
transcriptomics
tracking.
A
deployed
version
available
at
https://cellsam.deepcell.org/
.
Journal of Biomedical Optics,
Journal Year:
2024,
Volume and Issue:
29(S2)
Published: March 26, 2024
SignificanceQuantitative
phase
imaging
(QPI)
offers
a
label-free
approach
to
non-invasively
characterize
cellular
processes
by
exploiting
their
refractive
index
based
intrinsic
contrast.
QPI
captures
this
contrast
translating
associated
shifts
into
intensity-based
quantifiable
data
with
nanoscale
sensitivity.
It
holds
significant
potential
for
advancing
precision
cancer
medicine
providing
quantitative
characterization
of
the
biophysical
properties
cells
and
tissue
in
natural
states.AimThis
perspective
aims
discuss
increase
our
understanding
development
its
response
therapeutics.
also
explores
new
developments
methods
towards
personalized
therapy
early
detection.ApproachWe
begin
detailing
technical
advancements
QPI,
examining
implementations
across
transmission
reflection
geometries
retrieval
methods,
both
interferometric
non-interferometric.
The
focus
then
QPI's
applications
research,
including
dynamic
cell
mass
drug
assessment,
risk
stratification,
in-vivo
imaging.ResultsQPI
has
emerged
as
crucial
tool
medicine,
offering
insights
tumor
biology
treatment
efficacy.
Its
sensitivity
detecting
changes
promise
enhancing
diagnostics,
prognostication.
future
is
envisioned
integration
artificial
intelligence,
morpho-dynamics,
spatial
biology,
broadening
impact
research.ConclusionsQPI
presents
redefining
diagnosis,
monitoring,
treatment.
Future
directions
include
harnessing
high-throughput
imaging,
3D
realistic
models,
combining
intelligence
multi-omics
extend
capabilities.
As
result,
stands
at
forefront
research
clinical
application
care.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
15
Published: Feb. 15, 2024
Introduction
Metabolism
plays
a
complex
role
in
the
evolution
of
cancerous
tumors,
including
inducing
multifaceted
effect
on
immune
system
to
aid
escape.
Immune
escape
is,
by
definition,
collective
phenomenon
requiring
presence
two
cell
types
interacting
close
proximity:
tumor
and
immune.
The
microenvironmental
context
these
interactions
is
influenced
dynamic
process
blood
vessel
growth
remodelling,
creating
heterogeneous
patches
well-vascularized
or
acidic
niches.
Methods
Here,
we
present
multiscale
mathematical
model
that
captures
phenotypic,
vascular,
microenvironmental,
spatial
heterogeneity
which
shapes
acid-mediated
invasion
over
biologically-realistic
time
scale.
explores
several
mechanisms
such
as
i)
acid
inactivation
cells,
ii)
competition
for
glucose,
iii)
inhibitory
checkpoint
receptor
expression
(PD-L1).
We
also
explore
efficacy
anti-PD-L1
sodium
bicarbonate
buffer
agents
treatment.
To
understanding
cellular
phenomenon,
define
six
phenotypes
(termed
“meta-phenotypes”):
Self-Acidify,
Mooch
Acid,
PD-L1
Attack,
PD-L1,
Proliferate
Fast,
Starve
Glucose.
Results
Fomenting
stronger
response
leads
initial
benefits
(additional
cytotoxicity),
but
this
advantage
offset
increased
turnover
accelerated
emergence
aggressive
phenotypes.
This
creates
bimodal
therapy
landscape:
either
should
be
maximized
complete
cure,
kept
check
avoid
rapid
invasive
cells.
These
constraints
are
dependent
vascular
context,
acidification,
strength
response.
Discussion
helps
untangle
key
evolutionary
costs
three
phenotypic
axes
treatment:
acid-resistance,
glycolysis,
expression.
concomitant
treatments
promising
treatment
strategy
limit
adverse
effects
Mechanobiology in Medicine,
Journal Year:
2024,
Volume and Issue:
2(2), P. 100064 - 100064
Published: March 21, 2024
The
dynamic
protrusions
of
lamellipodia
and
filopodia
have
emerged
as
crucial
players
in
tumor
progression
metastasis.
These
membrane
structures,
governed
by
intricate
actin
cytoskeletal
rearrangements,
facilitate
cancer
cell
migration,
invasion,
interaction
with
the
microenvironment.
This
review
provides
a
comprehensive
examination
structural
functional
attributes
filopodia,
shedding
light
on
their
pivotal
roles
mediating
invasion.
Navigating
through
landscape
biology,
illuminates
signaling
pathways
regulatory
mechanisms
orchestrating
formation
activity
these
protrusions.
discussion
extends
to
clinical
implications
exploring
potential
diagnostic
prognostic
markers,
delving
into
therapeutic
strategies
that
target
structures
impede
progression.
As
we
delve
future,
outlines
emerging
technologies
unexplored
facets
beckon
further
research,
emphasizing
need
for
collaborative
efforts
unravel
complexities
cancer,
ultimately
paving
way
innovative
interventions.
Frontiers in Immunology,
Journal Year:
2024,
Volume and Issue:
14
Published: Jan. 3, 2024
T
cell
receptor
(TCR)
binding
to
cognate
antigen
on
the
plasma
membrane
of
an
antigen-presenting
(APC)
triggers
immune
synapse
(IS)
formation.
The
IS
constitutes
a
dedicated
contact
region
between
different
cells
that
comprises
signaling
platform
where
several
cues
evoked
by
TCR
and
accessory
molecules
are
integrated,
ultimately
leading
effective
signal
transmission
guarantees
intercellular
message
communication.
This
eventually
leads
lymphocyte
activation
efficient
execution
effector
tasks,
including
cytotoxicity
subsequent
target
death.
Recent
evidence
demonstrates
information
forming
synapses
is
produced,
significant
extent,
generation
secretion
distinct
extracellular
vesicles
(EV)
from
both
APC.
These
EV
carry
biologically
active
transfer
among
broad
range
biological
responses
in
recipient
cells.
Included
these
bioactive
regulatory
miRNAs,
pro-apoptotic
implicated
apoptosis,
or
triggering
activation.
In
this
study
we
deal
with
classes
detected
at
IS,
placing
emphasis
most
recent
findings
microvilli/lamellipodium-produced
EV.
signals
polarized
synaptic
cleft
will
be
discussed,
showing
architecture
fulfills
fundamental
task
during
route.