A review of electrochemical sensing in droplet systems: droplet and digital microfluidics
Analytica Chimica Acta,
Год журнала:
2025,
Номер
1347, С. 343744 - 343744
Опубликована: Фев. 4, 2025
Язык: Английский
Droplet-Based Microfluidics with Mass Spectrometry for Microproteomics
Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 1, 2024
Язык: Английский
Simple In-Cell Processing Enables Deep Proteome Analysis of Low-Input Caenorhabditis elegans
Analytical Chemistry,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 21, 2025
Caenorhabditis
elegans
is
a
widely
used
genetic
model
organism;
however,
the
worm
cuticle
complicates
extraction
of
intracellular
proteins,
prerequisite
for
typical
bottom-up
proteomics.
Conventional
physical
disruption
procedures
are
not
only
time-consuming
but
can
also
cause
significant
sample
loss,
making
it
difficult
to
perform
proteomics
with
low-input
samples.
Here,
first
time,
we
present
an
on-filter
in-cell
(OFIC)
processing
approach
that
digest
C.
proteins
directly
in
cells
organism
after
methanol
fixation.
With
OFIC
and
single-shot
LC-MS
analysis,
identified
over
9400
from
200
worms,
largest
proteome
reported
date
did
require
fractionation
or
enrichment.
We
systematically
evaluated
performance
by
comparing
conventional
lysis-based
methods.
Our
data
suggest
superior
identification
quantitation.
further
even
lower-input
samples,
including
single
worms.
Then,
this
method
determine
how
impacted
loss
superoxide
dismutase
sod-1,
ortholog
human
SOD1,
gene
associated
amyotrophic
lateral
sclerosis.
Analysis
8800
50
worms
as
initial
input
showed
sod-1
affects
abundance
required
stress
response,
ribosome
biogenesis,
metabolism.
In
conclusion,
our
streamlined
approach,
which
be
broadly
applied
other
systems,
minimizes
while
offering
simplest
workflow
Язык: Английский
Digital Microfluidics for Sample Preparation in Low‐Input Proteomics
Small Methods,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 29, 2024
Abstract
Low‐input
proteomics,
also
referred
to
as
micro‐
or
nanoproteomics,
has
become
increasingly
popular
it
allows
one
elucidate
molecular
processes
in
rare
biological
materials.
A
major
prerequisite
for
the
analytics
of
minute
protein
amounts,
e.g.,
derived
from
low
cell
numbers,
down
single
cells,
is
availability
efficient
sample
preparation
methods.
Digital
microfluidics
(DMF),
a
technology
allowing
handling
and
manipulation
liquid
volumes,
recently
been
shown
be
powerful
versatile
tool
address
challenges
low‐input
proteomics.
Here,
an
overview
provided
on
recent
advances
proteomics
using
DMF.
In
particular,
capability
DMF
isolate
proteomes
cells
small
model
organisms,
perform
all
necessary
chemical
steps,
such
denaturation
proteolytic
digestion
on‐chip,
are
highlighted.
Additionally,
prerequisites
making
these
steps
compatible
with
follow‐up
analytical
methods
chromatography‐mass
spectrometry
will
discussed.
Язык: Английский
Microproteomic-Based Analysis of the Goat Milk Protein Synthesis Network and Casein Production Evaluation
Foods,
Год журнала:
2024,
Номер
13(4), С. 619 - 619
Опубликована: Фев. 19, 2024
Goat
milk
has
been
consumed
by
humans
since
ancient
times
and
is
highly
nutritious.
Its
quality
mainly
determined
its
casein
content.
Milk
protein
synthesis
controlled
a
complex
network
with
many
signal
pathways.
Therefore,
the
aim
of
our
study
to
clearly
depict
pathways
involved
in
goat
mammary
epithelial
cells
(GMECs)
using
state-of-the-art
microproteomic
techniques
identify
key
genes
pathway.
The
analysis
identified
more
than
2253
proteins,
323
annotated
from
proteins.
Knockdown
IRS1
expression
significantly
influenced
composition
(α,
β,
κ);
therefore,
this
also
examined
insulin
receptor
substrate
1
(IRS1)
gene
closely.
A
total
12
differential
proteins
(DEPs)
were
characterized
as
upregulated
or
downregulated
IRS1-silenced
sample
compared
negative
control.
enrichment
these
DEPs
GMECs
GO
annotation
KEGG,
well
KOG
analysis.
Our
findings
expand
understanding
functional
goats,
paving
way
for
new
approaches
modifying
content
dairy
industry
product
development.
Язык: Английский
In-cell processing enables rapid and in-depth proteome analysis of low-input Caenorhabditis elegans
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 19, 2024
Abstract
Caenorhabditis
elegans
is
a
widely
used
genetic
model
organism,
however,
the
worm
cuticle
complicates
extraction
of
intracellular
proteins,
prerequisite
for
typical
bottom-up
proteomics.
Conventional
physical
disruption
procedures
are
not
only
time-consuming,
but
can
also
cause
significant
sample
loss,
making
it
difficult
to
perform
proteomics
with
low-input
samples.
Here,
first
time,
we
present
an
on-filter
in-cell
(OFIC)
processing
approach,
which
digest
C.
proteins
directly
in
cells
organism
after
methanol
fixation.
With
OFIC
and
single-shot
LCMS
analysis,
identified
over
9,400
from
200
worms,
largest
proteome
reported
date
that
did
require
fractionation
or
enrichment.
We
systematically
evaluated
performance
approach
by
comparing
conventional
lysis-based
methods.
Our
data
suggest
equivalent
unbiased
identification
quantitation.
further
even
lower
input
samples,
then
this
method
determine
how
impacted
loss
superoxide
dismutase
sod-1
,
ortholog
human
SOD-1
gene
associated
amyotrophic
lateral
sclerosis
(ALS).
Analysis
8,800
50
worms
as
initial
showed
affects
abundance
required
stress
response,
ribosome
biogenesis,
metabolism.
In
conclusion,
our
streamlined
be
broadly
applied
other
systems,
minimizes
while
offering
simplest
workflow
analysis.
Язык: Английский
Label-free recombinase polymerase amplification with hyperspectral digital optofluidics
Опубликована: Окт. 12, 2023
Nucleic
acid
detection
techniques
have
played
a
crucial
role
in
identifying
specific
genetic
indicators
or
species,
with
Polymerase
Chain
Reaction
(PCR)
being
the
established
gold
standard
this
field.
However,
PCR's
dependence
on
specialized
equipment
and
skilled
personnel
has
limited
its
utility
resource-limited
field
settings,
multitemperature
stage
protocol
hinders
rapid
nucleic
detection.
The
emergence
of
isothermal
amplification
methods,
particularly
recombinase
polymerase
(RPA),
addressed
some
these
limitations,
offering
high
sensitivity
efficiency.
Nevertheless,
challenge
RPA
amplicon
detection,
typically
reliant
labeling
persisted,
potentially
introducing
false
positives
increased
costs.
This
study
introduces
an
innovative
approach
to
harnessing
hyperspectral
quantitative
interference
for
label-free,
within
remarkably
short
25-minute
timeframe.
By
employing
solid-phase
process
that
transforms
product
into
DNA
molecule
layer
leveraging
Fourier
domain
optical
slice
separation
spectral
phase
shift
analysis,
method
enables
semi-quantitative
determination
results.
integration
digital
microfluidic
technology
further
enhances
method's
performance,
enabling
parallel,
integrated,
clinical
multi-indicator
pathogen
Overall,
research
presents
practical
solution
label-free
addressing
current
limitations
associated
techniques.
advancement
holds
promise
wide
range
applications,
from
point-of-care
diagnostics
field-based
ultimately
contributing
more
accessible
efficient
testing
methodologies.
Язык: Английский