Toxics,
Journal Year:
2025,
Volume and Issue:
13(3), P. 163 - 163
Published: Feb. 25, 2025
This
study
categorizes
pollutant-induced
inflammation–cancer
transition
into
three
stages:
non-alcoholic
fatty
liver
disease
(NAFLD),
fibrosis,
and
hepatocellular
carcinoma
(HCC).
It
systematically
reveals
the
temporal
heterogeneity
of
damage.
The
findings
indicate
that
pollutants
not
only
directly
damage
hepatocytes
but
also
modulate
key
cells
in
immune
microenvironment,
such
as
hepatic
stellate
(HSCs)
Kupffer
cells,
thereby
amplifying
inflammatory
fibrotic
responses,
ultimately
accelerating
progression
HCC.
Mechanistically,
early
stage
primarily
cause
hepatocyte
injury
through
oxidative
stress
lipid
metabolism
dysregulation.
During
fibrosis
stage,
promote
by
inducing
extracellular
matrix
accumulation,
while
HCC
they
drive
tumorigenesis
via
activation
Wnt/β-catenin
pathway
p53
inactivation.
Through
multi-omics
analyses,
this
identifies
critical
pathogenic
molecules
signaling
pathways
regulated
pollutants,
providing
new
insights
their
mechanisms,
potential
biomarkers,
therapeutic
targets.
These
offer
valuable
guidance
for
development
diagnostic
strategies
diseases
formulation
environmental
health
risk
prevention
measures.
Journal of Proteome Research,
Journal Year:
2023,
Volume and Issue:
22(11), P. 3652 - 3659
Published: Oct. 11, 2023
The
growing
complexity
and
volume
of
proteomics
data
necessitate
the
development
efficient
software
tools
for
peptide
identification
quantification
from
mass
spectra.
Given
their
central
role
in
proteomics,
it
is
imperative
that
these
are
auditable
extensible─requirements
best
fulfilled
by
open-source
permissively
licensed
software.
This
work
presents
Sage,
a
high-performance,
open-source,
freely
available
pipeline.
Scalable
cloud-ready,
Sage
matches
performance
state-of-the-art
while
running
an
order
magnitude
faster.
ACS Measurement Science Au,
Journal Year:
2024,
Volume and Issue:
4(4), P. 338 - 417
Published: June 4, 2024
Proteomics
is
the
large
scale
study
of
protein
structure
and
function
from
biological
systems
through
identification
quantification."Shotgun
proteomics"
or
"bottom-up
prevailing
strategy,
in
which
proteins
are
hydrolyzed
into
peptides
that
analyzed
by
mass
spectrometry.Proteomics
studies
can
be
applied
to
diverse
ranging
simple
proteoforms,
protein-protein
interactions,
structural
alterations,
absolute
relative
quantification,
post-translational
modifications,
stability.To
enable
this
range
different
experiments,
there
strategies
for
proteome
analysis.The
nuances
how
proteomic
workflows
differ
may
challenging
understand
new
practitioners.Here,
we
provide
a
comprehensive
overview
proteomics
methods.We
cover
biochemistry
basics
extraction
interpretation
orthogonal
validation.We
expect
Review
will
serve
as
handbook
researchers
who
field
bottom-up
proteomics.
ACS Measurement Science Au,
Journal Year:
2024,
Volume and Issue:
4(4), P. 315 - 337
Published: April 15, 2024
Recent
advancements
in
mass
spectrometry
(MS)
have
revolutionized
quantitative
proteomics,
with
multiplex
isotope
labeling
emerging
as
a
key
strategy
for
enhancing
accuracy,
precision,
and
throughput.
This
tutorial
review
offers
comprehensive
overview
of
techniques,
including
precursor-based,
defect-based,
reporter
ion-based,
hybrid
methods.
It
details
their
fundamental
principles,
advantages,
inherent
limitations
along
strategies
to
mitigate
the
limitation
ratio-distortion.
will
also
cover
applications
latest
progress
these
techniques
across
various
domains,
cancer
biomarker
discovery,
neuroproteomics,
post-translational
modification
analysis,
cross-linking
MS,
single-cell
proteomics.
Review
aims
provide
guidance
researchers
on
selecting
appropriate
methods
specific
goals
while
highlighting
potential
future
directions
this
rapidly
evolving
field.
Neurotherapeutics,
Journal Year:
2024,
Volume and Issue:
21(1), P. e00316 - e00316
Published: Jan. 1, 2024
Mitochondria
are
critical
for
brain
development
and
homeostasis.
Therefore,
pathogenic
variation
in
the
mitochondrial
or
nuclear
genome
which
disrupts
function
frequently
results
developmental
disorders
neurodegeneration
at
organismal
level.
Large-scale
application
of
genome-wide
technologies
to
individuals
with
diseases
has
dramatically
accelerated
identification
disease-gene
associations
humans.
Multi-omic
high-throughput
studies
involving
transcriptomics,
proteomics,
metabolomics,
saturation
editing
providing
deeper
insights
into
functional
consequence
genomic
variation.
Integration
deep
phenotypic
data
through
allelic
series
continues
uncover
novel
functions
permit
gene
dissection
on
an
unprecedented
scale.
Finally,
illuminate
disease
mechanisms
thereby
direct
therapeutic
strategies
small
molecules
RNA-DNA
therapeutics.
This
review
summarizes
progress
genomics
molecule
therapeutics
neurodevelopmental
disorders.
