Journal of Analytical Science & Technology,
Год журнала:
2023,
Номер
14(1)
Опубликована: Июнь 21, 2023
Abstract
The
aberrant
expression
of
microRNA
(miRNA)
is
closely
associated
with
various
pathological
processes,
such
as
the
development
gastric
cancer.
High-efficiency
quantification
miRNAs
significant
for
diagnosis,
prognosis,
and
treatment
cancers.
However,
sensitive
reliable
detection
miRNA
remains
a
huge
challenge.
We
depict
here
novel
fluorescent
approach
label-free
by
exploiting
designed
scaffold
to
integrate
catalytic
hairpin
assembly
primer
exchange
reaction
(PER).
In
this
method,
that
constructed
based
on
hybridization
between
two
structure
probes
(H1
probe
H2
probe),
capable
specifically
recognizing
target
activating
signal
amplification,
PER
process
transcribes
numerous
G-rich
sequences
induce
ThT-based
generation.
Based
efficient
amplification
strategy
generation
mode,
method
exhibits
wide
range
7
orders
magnitude
high
repeatability
(coefficient
variation,
2.76%),
implying
proposed
will
be
robust
tool
in
early
diagnosis
disease.
Graphical
abstract
Efficient
profiling
of
circulating
extracellular
vesicles
(EVs)
benefits
noninvasive
cancer
diagnosis
and
therapeutic
monitoring,
but
is
technically
hampered
by
tedious
isolation,
multistep
washing,
poor
sensitivity.
Here,
we
report
multifunctional
bubbles
that
enable
self-separation,
wash-free,
single-step,
ultrasensitive
EV
surface
markers
in
plasma
samples
for
early
treatment
monitoring
lung
cancer.
In
this
assay,
the
buoyancy-dominated
bubble
electric
field-resistant,
allowing
EV-responsive
release
electroactive
probes
electrohydrodynamic
nanoshearing
force-enhanced
hybridization,
self-separation
from
electrode
interface
minimizing
noise
electrochemical
measurements,
one-step
wash-free
profiling.
This
assay
achieves
sensitivity
near
a
single-EV
level,
shows
high
specificity
against
nontarget
EVs,
tracks
phenotypic
changes
induced
drugs.
We
further
show
technology
can
classify
(n
=
111)
between
patients
noncancer
controls
with
accuracies
>95%,
accurate
via
machine
learning,
monitor
pre/post-surgery
efficacy
higher
accuracy
over
routine
clinical
serum
markers.
bubble-driven
provides
promising
quantitative
tool
to
precision
liquid
biopsies.
The Analyst,
Год журнала:
2024,
Номер
149(4), С. 1250 - 1261
Опубликована: Янв. 1, 2024
An
all-in-one
detection
strategy
was
proposed
for
the
identification
of
breast
cancer-derived
exosomal
miRNA-21,
exhibiting
high
sensitivity
and
specificity
on
a
pen-based
paper
chip.
Advanced Functional Materials,
Год журнала:
2023,
Номер
34(13)
Опубликована: Дек. 15, 2023
Abstract
Tumor‐derived
circulating
extracellular
vesicles
(EVs)
provide
a
non‐invasive
solution
for
cancer
diagnostics,
but
hampered
by
challenges
in
EVs
isolation
and
profiling.
Herein,
this
work
shows
that
bioorthogonal
microbubbles
(click
bubbles)
combine
panel
of
fluorescent
aptamers
streamlined
profiling
oncologic
single
assay.
This
click
bubble‐driven
aptasensor
(cBAS)
features
self‐aggregation,
self‐separation
self‐enhancing
fluorescence.
The
facile
protein
phase
transition
renders
bubble
surface
polyvalent
with
rich
clickable
motifs,
enabling
fast
enrichment
EVs.
Moreover,
the
buoyancy
allows
bubbles
to
self‐float
droplet
apex
self‐aggregated
fluorescence
enhancement
via
lensing
effect,
thus
achieving
sensitive
without
requiring
additional
signal
amplification
or
ultrasensitive
detectors.
By
using
cBAS
profile
proteins
from
cohort
(
n
=
45)
across
three
types,
machine
learning
algorithm
enables
diagnosis
classification
an
overall
accuracy
91%.
EVs‐on‐a‐bubble
assay
is
fast,
sensitive,
self‐powered,
provides
promising
tool
facilitate
EVs‐based
clinical
settings.
ACS Applied Materials & Interfaces,
Год журнала:
2023,
Номер
15(48), С. 55358 - 55368
Опубликована: Ноя. 27, 2023
Tumor-derived
extracellular
vesicles
(T-EVs)
hold
great
promise
for
understanding
cancer
biology
and
improving
diagnostics
therapeutics.
Herein,
we
developed
multivalent
DNA
flowers
(DFs)
containing
repeated
equidistant
EpCAM
aptamers
the
efficient
isolation
of
T-EVs.
The
aptamer
chains
in
DFs
had
good
flexibility
to
adapt
surface
morphology
T-EVs
achieved
ligand–receptor
interactions,
thus
showing
enhanced
ability
compared
monovalent
aptamers.
Compared
with
other
materials
EVs,
were
generated
by
rolling
circle
amplification
(RCA)
self-assembled
into
microspheres
a
one-pot
reaction,
recognition
molecules
(aptamers)
directly
replicated
assembled
during
RCA
reaction
instead
chemical
modification
immobilization
on
solid
materials.
Moreover,
as
optically
transparent
biomaterials,
content
EpCAM+
EVs
could
be
reflected
via
membrane-based
hydrophobic
assembly
signaling
modules
DFs@EpCAM+
complex,
found
that
amount
showed
greater
accuracy
diagnosis
than
total
(88.3
vs
69.7%)
was
also
higher
clinically
commonly
used
marker
carcinoembryonic
antigen
(CEA)
76.7%).
In
addition,
released
lysis
nuclease,
gently
easily,
keeping
high
intact
activity
downstream
biological
function
studies.
These
results
demonstrated
are
nondestructive
tools
isolation,
detection,
release
Analytical Chemistry,
Год журнала:
2023,
Номер
95(44), С. 16305 - 16314
Опубликована: Окт. 24, 2023
Breakthroughs
in
circulating
tumor
DNA
(ctDNA)
analysis
are
critical
liquid
biopsies
but
remain
a
technical
challenge
due
to
the
double-stranded
structure,
extremely
low
abundance,
and
short
half-life
of
ctDNA.
Here,
we
report
an
electrochemical
CRISPR/dCas9
sensor
(E-dCas9)
for
sensitive
specific
detection
ctDNA
at
single-nucleotide
resolution.
The
E-dCas9
design
harnesses
capture
unzipping
target
by
dCas9
introduce
complementary
reporter
probe
molecular
assembly
signal
amplification.
By
efficient
homogeneous
interfacial
click
reaction,
assay
demonstrates
superior
sensitivity
(up
2.86
fM)
detecting
single-base
mutant
broad
dynamic
range
spanning
6
orders
magnitude.
is
also
capable
measuring
10
fg/μL
mutated
excess
wild-type
ones
(1
ng/μL),
equivalent
probing
0.001%
mutation
relative
wild
type.
In
addition,
our
can
monitor
expression
cellular
genomic
allows
accurate
blood
samples
from
patients
with
nonsmall
cell
lung
cancer,
suggesting
potential
as
promising
tool
ctDNA-based
cancer
diagnosis.
