A Tandem Cytometry Platform for Single-Cell Analysis of Protein and Metabolites
Analytical Chemistry,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 25, 2025
Multiomics
analysis
at
the
single-cell
level
is
essential
for
both
fundamental
research
and
clinical
applications,
with
proteomics
metabolomics
being
particularly
crucial
providing
insights
into
cellular
states
functions.
The
state
of
art
flow
cytometry
has
shown
great
potential
in
identifying
proteins,
while
emerging
metabolite
mass
spectrometry
techniques
address
detection.
Herein,
we
propose
a
tandem
platform
that
integrates
fluorescence
electrospray
ionization
one-step
protein
metabolites.
An
algorithm
was
established
to
correlate
multidimensional
information
individual
cells,
additional
data
processing
modules
designed
ensure
accuracy
facilitate
further
analysis.
demonstrated
efficacy
profiling
breast
cancer
under
hypoxic
conditions,
revealing
metabolic
shifts
decreased
glutathione
increased
l-glutamine
levels,
indicative
hypoxia-inducible
factor
activity.
This
introduces
powerful
analytical
capability
promises
elevate
precision
cell-based
diagnostics
therapeutic
strategies.
Язык: Английский
Recent advances in single-cell metabolomics using mass spectrometry: emerging challenges and future perspectives
Applied Spectroscopy Reviews,
Год журнала:
2025,
Номер
unknown, С. 1 - 37
Опубликована: Апрель 1, 2025
Язык: Английский
MMEASE: enhanced analytical workflow for single-cell metabolomics
Nucleic Acids Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 1, 2025
Metabolomics
is
essential
for
providing
an
overview
of
what
chemical
processes
are
taking
place.
A
clear
shift
from
bulk
metabolomics
to
single-cell
(SCM)
observed
in
current
research,
and
integral
workflow
enabling
the
analysis
SCM
data
therefore
great
demand.
However,
no
such
has
been
available
date.
Herein,
MMEASE,
previously
designed
analyzing
metabolomic
data,
was
updated
its
2.0
version
by
developing
first
comprehensive
in-depth
data.
First,
it
provided
all
sequential
steps
modern
research
(from
processing,
cellular
heterogeneity
analysis,
then
high-resolution
metabolite
annotation,
finally
cell-based
biological
interpretation).
Second,
compared
with
existing
tools,
MMEASE
superior
incorporating
widest
variety
methods
at
every
step
analyses.
The
originality
functionality
our
were
extensively
validated
explicitly
described
case
studies
on
benchmark
All
all,
unique
accomplishing
analyses
which
could
be
considered
as
indispensable
complement
tools.
Now,
latest
freely
accessible
users
at:
https://idrblab.org/mmease/.
Язык: Английский
HT SpaceM: A High-Throughput and Reproducible Method for Small-Molecule Single-Cell Metabolomics
Опубликована: Окт. 25, 2024
Summary
Single-cell
metabolomics
promises
to
resolve
metabolic
cellular
heterogeneity,
yet
current
methods
struggle
with
detecting
small
molecules,
throughput,
and
reproducibility.
Addressing
these
gaps,
we
developed
HT
SpaceM,
a
high-throughput
single-cell
method
novel
cell
preparation,
custom
glass
slides,
small-molecule
MALDI
imaging
mass
spectrometry
protocol,
batch
processing.
We
propose
unified
framework
covering
essential
data
analysis
steps
including
quality
control,
characterization,
differential
analysis,
structural
validation
functional
analysis.
Interrogating
human
HeLa
mouse
NIH3T3
cells,
detected
73
diverse
metabolites
validated
by
bulk
LC-MS/MS,
achieving
high
reproducibility
across
wells
slides.
nine
NCI-60
cancer
cells
HeLa,
identified
cell-type
markers
in
subpopulations.
Functional
revealed
overrepresented
pathways,
co-abundant
metabolites,
hubs.
demonstrate
the
ability
of
SCM
analyze
over
120,000
from
112
samples,
provide
guidance
interpret
revealing
insights
beyond
population
averages.
Язык: Английский