International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
26(1), С. 45 - 45
Опубликована: Дек. 24, 2024
Genetic
studies
of
haematological
cancers
have
pointed
out
the
heterogeneity
leukaemia
in
its
different
subpopulations,
with
distinct
mutations
and
characteristics,
impacting
treatment
response.
Next-generation
sequencing
(NGS)
genome-wide
analyses,
as
well
single-cell
technologies,
offered
unprecedented
insights
into
clonal
within
same
tumour.
A
key
component
this
that
remains
unexplored
is
intracellular
metabolome,
a
dynamic
network
determines
cell
functions,
signalling,
epigenome
regulation,
immunity
inflammation.
Understanding
metabolic
diversities
among
cancer
cells
their
surrounding
environments
therefore
essential
unravelling
complexities
improving
therapeutic
strategies.
Here,
we
describe
currently
available
methodologies
approaches
to
addressing
progression.
In
second
section,
focus
on
leukaemic
vulnerabilities
acute
myeloid
(AML)
lymphoblastic
(ALL).
Lastly,
provide
comprehensive
overview
most
interesting
clinical
trials
designed
target
these
dependencies,
highlighting
potential
advance
strategies
treatment.
The
integration
multi-omics
data
for
identification
states
tumour
will
enable
“micro-to-macro”
approach
refinement
practices
delivery
personalised
therapies.
Biochemical Pharmacology,
Год журнала:
2024,
Номер
228, С. 116165 - 116165
Опубликована: Март 26, 2024
In
this
comprehensive
review
we
tried
to
reassess
the
role
of
phytochemicals
in
cancer
chemoprevention.
The
exploration
"synergistic
effect"
concept,
advocating
combined
chemopreventive
agents,
faces
challenges
like
low
bioavailability.
incorporates
personal,
occasionally
controversial,
viewpoints
on
natural
compounds'
preventive
capabilities,
delving
into
mechanisms.
Prioritizing
significant
contributions
within
vast
research
domain,
aim
stimulating
discussion
provide
a
insight
evolving
prevention.
While
early
years
downplayed
phytochemicals,
late
nineties
witnessed
shift,
with
leaders
exploring
their
potential
alongside
synthetic
compounds.
Challenges
faced
by
chemoprevention,
such
as
limited
pharmaceutical
interest
and
cost-effectiveness
issues,
persist
despite
successful
drugs.
Recent
studies,
including
EPIC
study,
nuanced
insights,
indicating
modest
risk
reduction
for
increased
fruit
vegetable
intake.
Phytochemicals,
once
attributed
antioxidant
effects,
face
scrutiny
due
bioavailability
conflicting
evidence.
Nrf2-EpRE
signaling
pathway
microbiota-mediated
metabolism
emerge
mechanisms,
highlighting
complexity
understanding
phytochemical
mechanisms
Journal of Proteome Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 22, 2024
Recent
advancements
in
single-cell
(sc)
resolution
analyses,
particularly
sc
transcriptomics
and
proteomics,
have
revolutionized
our
ability
to
probe
understand
cellular
heterogeneity.
The
study
of
metabolism
through
small
molecules,
metabolomics,
provides
an
additional
level
information
otherwise
unattainable
by
or
proteomics
shedding
light
on
the
metabolic
pathways
that
translate
gene
expression
into
functional
outcomes.
Metabolic
heterogeneity,
critical
health
disease,
impacts
developmental
outcomes,
disease
progression,
treatment
responses.
However,
dedicated
approaches
probing
metabolome
not
reached
maturity
other
omics
technologies.
Over
past
decade,
innovations
metabolomics
addressed
some
practical
limitations,
including
cell
isolation,
signal
sensitivity,
throughput.
To
fully
exploit
their
potential
biological
research,
however,
remaining
challenges
must
be
thoroughly
addressed.
Additionally,
integrating
with
orthogonal
techniques
will
required
validate
relevant
results
gain
systems-level
understanding.
This
perspective
offers
a
broad-stroke
overview
recent
mass
spectrometry
(MS)-based
advancements,
focusing
ongoing
from
biologist's
viewpoint,
aimed
at
addressing
pertinent
innovative
questions.
we
emphasize
use
showcase
systems
these
sophisticated
methodologies
are
apt
explore.
To
address
the
challenges
in
single-cell
metabolomics
(SCM)
research,
we
have
developed
an
open-source
Python-based
modular
library,
named
SCMeTA,
for
SCM
data
processing.
We
designed
standardized
pipeline
and
inter-container
communication
format
components
to
adapt
diverse
needs
of
studies.
The
validation
was
carried
out
on
multiple
experiment
data.
results
demonstrated
significant
improvements
batch
effects,
accuracy
results,
metabolic
extraction
rate,
cell
matching
as
well
processing
speed.
This
library
is
great
significance
advancing
practical
application
analysis
makes
a
foundation
wide-scale
adoption
biological
Analytical Chemistry,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 12, 2025
Single-cell
metabolic
analysis
has
not
yet
achieved
the
coverage
of
bulk
due
to
diversity
cellular
metabolites
and
ionization
competition
among
species.
Direct
methods
without
separation
lead
masking
low-intensity
By
designing
a
capillary
column
emitter
introducing
reverse-phase
chromatography
principles,
we
microseparation
lipophilic
hydrophilic
lowered
limit
detection
level
single
oocyte.
We
identified
517
metabolite
species
in
oocyte,
achieving
reproducibility
comparable
those
analysis.
comparing
oocytes
at
different
maturation
stages,
76
features
were
with
significant
differences
between
germinal
vesicle
meiosis
II
stages.
Metabolite
changes
suggested
roles
lipid
metabolism
remodeling,
increased
amino
acid
synthesis,
shift
from
pyrimidine
purine
process
oocyte
maturation.
This
mass
spectrometry
is
expected
promote
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/.
Abstract
Mass
spectrometry
(MS)-based
metabolomics
has
emerged
as
a
transformative
tool
to
unraveling
components
and
their
mechanisms
in
traditional
Chinese
medicine
(TCM).
The
integration
of
advanced
analytical
platforms,
such
LC–MS
GC–MS,
coupled
with
metabolomics,
propelled
the
qualitative
quantitative
characterization
TCM’s
complex
components.
This
review
comprehensively
examines
applications
MS-based
elucidating
TCM
efficacy,
spanning
chemical
composition
analysis,
molecular
target
identification,
mechanism-of-action
studies,
syndrome
differentiation.
Recent
innovations
functional
spatial
single-cell
metabolic
flux
analysis
have
further
expanded
research
horizons.
Artificial
intelligence
(AI)
bioinformatics
offer
promising
avenues
for
overcoming
bottlenecks,
enhancing
database
standardization,
driving
interdisciplinary
breakthroughs.
However,
challenges
remain,
including
need
improved
data
processing
expansion,
understanding
metabolite-gene-protein
interactions.
By
addressing
these
gaps,
can
bridge
practices
modern
biomedical
research,
fostering
global
acceptance
TCM.
highlights
synergy
MS
techniques,
computational
tools,
holistic
philosophy,
presenting
forward-looking
perspective
on
its
clinical
translation
internationalization.
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.
