Rapid
diagnosis
and
real-time
monitoring
are
of
great
important
in
the
fight
against
cancer.
However,
most
available
diagnostic
technologies
time-consuming
labor-intensive
commonly
invasive.
Here,
we
describe
CytoExam,
an
automatic
liquid
biopsy
instrument
designed
based
on
inertial
microfluidics
impedance
cytometry,
which
uses
a
deep
learning
algorithm
for
analysis
circulating
tumor
cells
(CTCs).
In
silico
vitro
experiments
demonstrated
that
CytoExam
could
achieve
label-free
detection
CTCs
peripheral
blood
cancer
patients
within
15
min.
The
clinical
applicability
was
also
verified
using
samples
from
10
healthy
donors
>50
with
breast,
colorectal,
or
lung
Significant
differences
number
collected
predicted
were
observed
between
2
groups,
variations
dielectric
properties
being
observed.
ultra-fast
minimally
invasive
features
may
pave
way
new
paths
scientific
research.
Nature Biomedical Engineering,
Journal Year:
2023,
Volume and Issue:
7(11), P. 1392 - 1403
Published: April 6, 2023
During
surgery,
rapid
and
accurate
histopathological
diagnosis
is
essential
for
clinical
decision
making.
Yet
the
prevalent
method
of
intra-operative
consultation
pathology
intensive
in
time,
labour
costs,
requires
expertise
trained
pathologists.
Here
we
show
that
biopsy
samples
can
be
analysed
within
30
min
by
sequentially
assessing
physical
phenotypes
singularized
suspended
cells
dissociated
from
tissues.
The
diagnostic
combines
enzyme-free
mechanical
dissociation
tissues,
real-time
deformability
cytometry
at
rates
100-1,000
s-1
data
analysis
unsupervised
dimensionality
reduction
logistic
regression.
Physical
phenotype
parameters
extracted
brightfield
images
single
distinguished
cell
subpopulations
various
enhancing
or
even
substituting
measurements
molecular
markers.
We
used
to
quantify
degree
colon
inflammation
accurately
discriminate
healthy
tumorous
tissue
mouse
human
colons.
This
fast
label-free
approach
may
aid
detection
pathological
changes
solid
biopsies.
Annual Review of Biophysics,
Journal Year:
2024,
Volume and Issue:
53(1), P. 367 - 395
Published: Feb. 21, 2024
The
mechanical
phenotype
of
a
cell
determines
its
ability
to
deform
under
force
and
is
therefore
relevant
cellular
functions
that
require
changes
in
shape,
such
as
migration
or
circulation
through
the
microvasculature.
On
practical
level,
can
be
used
global
readout
cell's
functional
state,
marker
for
disease
diagnostics,
an
input
tissue
modeling.
We
focus
our
review
on
current
knowledge
structural
components
contribute
determination
properties
highlight
physiological
processes
which
cells
critical
relevance.
ongoing
efforts
understand
how
efficiently
measure
control
will
define
progress
field
drive
phenotyping
toward
clinical
applications.
Experimental & Molecular Medicine,
Journal Year:
2024,
Volume and Issue:
56(3), P. 527 - 548
Published: March 5, 2024
Abstract
Conventional
tumor
models
have
critical
shortcomings
in
that
they
lack
the
complexity
of
human
stroma.
The
heterogeneous
stroma
is
a
central
compartment
microenvironment
(TME)
must
be
addressed
cancer
research
and
precision
medicine.
To
fully
model
stroma,
deconstruction
reconstruction
tissues
been
suggested
as
new
approaches
for
vitro
modeling.
In
this
review,
we
summarize
heterogeneity
tumor-associated
stromal
cells
general
used
to
isolate
patient-specific
from
tissue;
also
address
effect
procedure
on
characteristics
primary
cells.
Finally,
perspectives
future
reconstructed
are
discussed,
with
an
emphasis
essential
prerequisites
developing
authentic
humanized
models.
Journal of Molecular Recognition,
Journal Year:
2023,
Volume and Issue:
36(8)
Published: April 24, 2023
Abstract
Mechanical
biomarkers
distinguish
health
conditions
through
quantitative
mechanical
measurements.
The
emergence
and
establishment
of
nanotechnology
in
the
last
decades
have
provided
new
tools
to
obtain
at
nanoscale.
measurements
are
reproducible,
label‐free,
start
be
applied
vivo
can
high
throughput,
require
small
samples.
protocols
clinical
practice
macro
scale
like
palpation
or
blood
pressure
measurement
routinely
used
by
medical
doctors.
Nanotechnology
brought
sensing
next
scale,
where
cells,
tissues,
proteins
probed
linked
conditions.
changes
cells
tissues
may
detected
before
other
markers,
such
as
protein
expression,
providing
an
important
advantage
biomarkers.
In
present
review,
we
explore
biomarker's
historical
evolution,
describe
on
various
diseases
novel
discoveries
nanomechanical
field
for
their
characterization.
We
conclude
that
establishing
hallmarks
diseases,
several
cases
early
diagnostics
discovery
drug
targets
involved
changes,
while
advances
instrumentation
bringing
commercial
products
into
practice.
along
with
testing
niche
market,
whose
demand
is
increasing
due
expansion
personalized
medicine
unmet
needs
clinics.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: May 17, 2024
The
molecular
system
regulating
cellular
mechanical
properties
remains
unexplored
at
single-cell
resolution
mainly
due
to
a
limited
ability
combine
mechanophenotyping
with
unbiased
transcriptional
screening.
Here,
we
describe
an
electroporation-based
lipid-bilayer
assay
for
cell
surface
tension
and
transcriptomics
(ELASTomics),
method
in
which
oligonucleotide-labelled
macromolecules
are
imported
into
cells
via
nanopore
electroporation
assess
the
state
of
enumerated
by
sequencing.
ELASTomics
can
be
readily
integrated
existing
sequencing
approaches
enables
joint
study
mechanics
underlying
regulation
unprecedented
resolution.
We
validate
analysis
cancer
lines
from
various
malignancies
show
that
accurately
identify
types
tension.
exploration
relationships
between
tension,
proteins,
transcripts
along
lineages
differentiating
haematopoietic
progenitor
mice.
senescence
demonstrate
RRAD
regulates
senescent
TIG-1
cells.
provides
unique
opportunity
profile
phenotypes
single
dissect
interplay
among
these
range
biological
contexts.
Lab on a Chip,
Journal Year:
2023,
Volume and Issue:
23(17), P. 3737 - 3740
Published: Jan. 1, 2023
Keisuke
Goda,
Hang
Lu,
Peng
Fei,
and
Jochen
Guck
introduce
the
AI
in
Microfluidics
themed
collection,
on
revolutionizing
microfluidics
with
artificial
intelligence:
a
new
dawn
for
lab-on-a-chip
technologies.
