mBio,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 10, 2024
ABSTRACT
The
microbiome
plays
a
vital
role
in
human
health,
with
changes
its
composition
impacting
various
aspects
of
the
body.
Posttranslational
modification
(PTM)
regulates
protein
activity
by
attaching
chemical
groups
to
amino
acids
an
enzymatic
or
non-enzymatic
manner.
PTMs
offer
fast
and
dynamic
regulation
expression
can
be
influenced
specific
dietary
components
that
induce
PTM
events
gut
microbiomes
their
hosts.
on
proteins
have
been
found
contribute
host-microbe
interactions.
For
example,
Escherichia
coli
,
S-sulfhydration
tryptophanase
uremic
toxin
production
chronic
kidney
disease
mice.
On
broader
microbial
scale,
patients
inflammatory
bowel
exhibit
distinct
patterns
metaproteomes.
Moreover,
pathogens
commensals
alter
host
profiles
through
secretion
diet-regulated
metabolic
shifts.
emerging
field
metaPTMomics
focuses
understanding
microbiota,
association
lifestyle
factors
like
diet,
functional
effects
Biomolecules,
Journal Year:
2024,
Volume and Issue:
14(1), P. 118 - 118
Published: Jan. 16, 2024
Neurodegenerative
disorders,
such
as
Parkinson’s
disease,
Alzheimer’s
and
Huntington’s
are
identified
characterized
by
the
progressive
loss
of
neurons
neuronal
dysfunction,
resulting
in
cognitive
motor
impairment.
Recent
research
has
shown
importance
PTMs,
phosphorylation,
acetylation,
methylation,
ubiquitination,
sumoylation,
nitration,
truncation,
O-GlcNAcylation,
hydroxylation,
progression
neurodegenerative
disorders.
PTMs
can
alter
protein
structure
function,
affecting
stability,
localization,
interactions,
enzymatic
activity.
Aberrant
lead
to
misfolding
aggregation,
impaired
degradation,
clearance,
ultimately,
dysfunction
death.
The
main
objective
this
review
is
provide
an
overview
involved
neurodegeneration,
their
underlying
mechanisms,
methods
isolate
potential
therapeutic
targets
for
these
discussed
article
include
tau
α-synuclein
Huntingtin
histone
acetylation
RNA
modifications.
Understanding
role
diseases
may
new
strategies
devastating
PROTEOMICS,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 18, 2025
ABSTRACT
Posttranslational
modifications
(PTMs)
are
of
significant
interest
in
molecular
biomedicine
due
to
their
crucial
role
signal
transduction
across
various
cellular
and
organismal
processes.
Characterizing
PTMs,
distinguishing
between
functional
inert
modifications,
quantifying
occupancies,
understanding
PTM
crosstalk
challenging
tasks
any
biosystem.
Studying
each
often
requires
a
specific,
labor‐intensive
experimental
design.
Here,
we
present
PTM‐centric
proteome
informatic
pipeline
for
predicting
relevant
PTMs
mass
spectrometry‐based
proteomics
data
without
prior
information.
Once
predicted,
these
silico
identified
can
be
incorporated
into
refined
database
search
compared
measured
data.
As
practical
application,
demonstrate
how
this
used
study
glycoproteomics
oral
squamous
cell
carcinoma
based
on
the
profile
primary
tumors.
Subsequently,
experimentally
proteins
that
differentially
expressed
cells
treated
with
multikinase
inhibitors
dasatinib
staurosporine
using
proteomics.
Computational
enrichment
analysis
was
then
employed
determine
potential
induced
by
both
drugs.
Finally,
conducted
an
additional
round
predicted
PTMs.
Our
successfully
analyzed
enriched
detected
not
initial
search.
findings
support
effectiveness
searching
MS
computational
analysis,
propose
integrating
approach
future
engines.
FEBS Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 5, 2024
Over
400
different
types
of
post‐translational
modifications
(PTMs)
have
been
reported
and
over
200
various
PTMs
discovered
using
mass
spectrometry
(MS)‐based
proteomics.
MS‐based
proteomics
has
proven
to
be
a
powerful
method
capable
global
PTM
mapping
with
the
identification
modified
proteins/peptides,
localization
sites
quantitation.
play
regulatory
roles
in
protein
functions,
activities
interactions
heart
related
diseases,
such
as
ischemia/reperfusion
injury,
cardiomyopathy
failure.
The
recognition
that
are
specific
cardiovascular
pathology
clarification
mechanisms
underlying
these
at
molecular
levels
crucial
for
discovery
novel
biomarkers
application
clinical
setting.
With
sensitive
MS
instrumentation
biostatistical
methods
precise
processing
data,
low‐abundance
can
successfully
detected
beneficial
or
unfavorable
effects
on
cardiac
function
determined.
Moreover,
computational
proteomic
strategies
predict
based
data
gained
an
increasing
interest
contribute
characterization
profiles
disorders.
More
recently,
machine
learning‐
deep
learning‐based
employed
locations
explore
crosstalk.
In
this
review
article,
briefly
overviewed,
approaches
identification/quantitation
discussed
recently
published
studies
associated
diseases
included.
Molecules,
Journal Year:
2022,
Volume and Issue:
27(19), P. 6466 - 6466
Published: Sept. 30, 2022
Mass
spectrometry
(MS)
has
become
the
central
technique
that
is
extensively
used
for
analysis
of
molecular
structures
unknown
compounds
in
gas
phase.
It
manipulates
molecules
by
converting
them
into
ions
using
various
ionization
sources.
With
high-resolution
MS,
accurate
weights
(MW)
intact
can
be
measured
so
they
assigned
a
formula
with
high
confidence.
Furthermore,
application
tandem
MS
enabled
detailed
structural
characterization
breaking
and
protonated
or
deprotonated
key
fragment
ions.
This
approach
not
only
elucidation
small
(MW
<
2000
Da),
but
also
crucial
biopolymers
such
as
proteins
polypeptides;
therefore,
been
multiomics
studies
revealing
functions
important
biomolecules
their
interactions
each
other.
The
sensitivity
low-level
analytes
complex
matrices.
versatile
coupled
separation
techniques,
including
chromatography
ion
mobility,
many
other
analytical
instruments
NMR.
In
this
review,
we
aim
to
focus
on
technical
advances
MS-based
methods
over
past
five
years,
provide
an
overview
applications
mixture
analysis.
We
hope
review
interest
wide
range
audiences
who
may
have
extensive
experience
techniques.
The Annual Review of Pharmacology and Toxicology,
Journal Year:
2023,
Volume and Issue:
64(1), P. 455 - 479
Published: Sept. 22, 2023
Proteogenomics
refers
to
the
integration
of
comprehensive
genomic,
transcriptomic,
and
proteomic
measurements
from
same
samples
with
goal
fully
understanding
regulatory
processes
converting
genotypes
phenotypes,
often
an
emphasis
on
gaining
a
deeper
disease
processes.
Although
specific
genetic
mutations
have
long
been
known
drive
development
multiple
cancers,
gene
alone
do
not
always
predict
prognosis
or
response
targeted
therapy.
The
benefit
proteogenomics
research
is
that
information
obtained
proteins
their
corresponding
pathways
provides
insight
into
therapeutic
targets
can
complement
genomic
by
providing
additional
dimension
regarding
underlying
mechanisms
pathophysiology
tumors.
This
review
describes
novel
insights
tumor
biology
drug
resistance
derived
proteogenomic
analysis
while
highlighting
clinical
potential
observations
advances
in
technique
tools.
Expert Review of Proteomics,
Journal Year:
2024,
Volume and Issue:
21(1-3), P. 115 - 123
Published: Feb. 19, 2024
Introduction
Around
20%
of
individuals
diagnosed
with
acute
pancreatitis
(AP)
may
develop
severe
(SAP),
possibly
resulting
in
a
mortality
rate
ranging
from
15%
to
35%.
There
is
an
urgent
need
thoroughly
understand
the
molecular
phenotypes
SAP
diverse
etiologies.
The
field
translational
research
on
AP
has
seen
use
several
innovative
proteomic
methodologies
via
ongoing
improvement
isolation,
tagging,
and
quantification
methods.