Thermal
proteome
profiling
effectively
investigates
protein-protein,
protein-nucleic
acid,
or
protein-drug
interactions,
and
the
impact
of
metabolite
binding
post-translational
modifications
on
these
interactions.
The
experiments
quantitatively
characterize
biological
samples
treated
with
small
molecules
versus
controls
subjected
to
timed
exposures
multiple
temperatures.
Typically,
each
enzymatically
digested
sample
is
labeled
a
tandem
mass
tag
(TMT),
where
TMT
channel
corresponds
specific
temperature
treatment
profiled
using
liquid
chromatography
coupled
spectrometry
in
data-dependent
data
acquisition
mode.
resulting
spectra
are
processed
computational
tools
identify
quantify
proteins
filter
out
noise.
Protein
interactions
detected
by
fitting
curves
protein
abundances
across
Interacting
identified
shifts
fitted
between
controls.This
dissertation
emphasizes
importance
processing
curve
thermal
profiling.
We
demonstrate
that
employing
different
techniques
for
steps
can
yield
substantially
results.
review
existing
methods
advocate
use
open-source
R
package
MSstatsTMT.
MSstatsTMT-based
minimizes
subjective
filtering.
Its
statistical
appropriately
represent
structure
variation
do
not
require
fitting,
making
results
numerically
stable.
MSstatsTMT
supports
experimental
designs
trade
off
temperatures
larger
number
replicates,
thus
increasing
sensitivity
increased
stability
as
compared
currently
used
alternatives
series
simulated
datasets.
These
include
comparison
conventional
its
OnePot
counterpart
pools
at
into
one
sample.
workflow
documented
publicly
available
vignettes.--Author's
abstract
Frontiers in Molecular Biosciences,
Journal Year:
2022,
Volume and Issue:
9
Published: June 9, 2022
Knowing
that
the
drug
candidate
binds
to
its
intended
target
is
a
vital
part
of
discovery.
Thus,
several
labeled
and
label-free
methods
have
been
developed
study
engagement.
In
recent
years,
cellular
thermal
shift
assay
(CETSA)
with
variations
has
widely
adapted
discovery
workflows.
Western
blot-based
CETSA
used
primarily
validate
binding
molecule
protein
whereas
based
on
bead
chemistry
detection
(CETSA
HT)
screen
molecular
libraries
find
novel
molecules
pre-determined
target.
Mass
spectrometry-based
also
known
as
proteome
profiling
(TPP)
emerged
powerful
tool
for
deconvolution
finding
partners
old
molecules.
With
this
technology,
it
possible
probe
shifts
among
over
7,000
proteins
from
one
sample
identify
wanted
but
unwanted
off-targets
cause
adverse
effects.
addition,
proteome-wide
method
can
provide
information
biological
process
initiated
by
ligand
binding.
The
continued
development
mass
spectrometry
labeling
reagents,
such
isobaric
tandem
tag
technology
(TMT)
continues
increase
throughput
MS,
allowing
use
structure-activity
relationship
(SAR)
studies
limited
number
review,
we
discussed
differences
between
different
engagement,
our
focus
was
advances
in
method.
Journal of Proteome Research,
Journal Year:
2023,
Volume and Issue:
22(8), P. 2629 - 2640
Published: July 13, 2023
Thermal
proteome
profiling
(TPP)
provides
a
powerful
approach
to
studying
proteome-wide
interactions
of
small
therapeutic
molecules
and
their
target
off-target
proteins,
complementing
phenotypic-based
drug
screens.
Detecting
differences
in
thermal
stability
due
engagement
requires
high
quantitative
accuracy
consistent
detection.
Isobaric
tandem
mass
tags
(TMTs)
are
used
multiplex
samples
increase
quantification
precision
TPP
analysis
by
data-dependent
acquisition
(DDA).
However,
advances
data-independent
(DIA)
can
provide
higher
sensitivity
protein
coverage
with
reduced
costs
sample
preparation
steps.
Herein,
we
explored
the
performance
different
DIA-based
label-free
approaches
compared
TMT-DDA
for
shift
quantitation.
Acute
myeloid
leukemia
cells
were
treated
losmapimod,
known
inhibitor
MAPK14
(p38α).
Label-free
DIA
approaches,
particularly
library-free
mode
DIA-NN,
comparable
ability
detect
losmapimod
one
its
downstream
targets,
MAPKAPK3.
Using
quantitation
is
cost-effective
alternative
labeled
pipeline.
Bioinformatics,
Journal Year:
2025,
Volume and Issue:
41(3)
Published: Jan. 31, 2025
Bottom-up
mass
spectrometry-based
proteomics
studies
changes
in
protein
abundance
and
structure
across
conditions.
Since
the
currency
of
these
experiments
are
peptides,
i.e.
subsets
sequences
that
carry
quantitative
information,
conclusions
at
a
different
level
must
be
computationally
inferred.
The
inference
is
particularly
challenging
situations
where
peptides
shared
by
multiple
proteins
or
post-translational
modifications.
While
many
approaches
infer
underlying
abundances
from
unique
there
need
to
distinguish
patterns
when
shared.
We
propose
statistical
approach
for
estimating
abundances,
as
well
site
occupancies
modifications,
based
on
information
peptides.
treats
convex
combinations
individual
modification
sites,
estimates
each
source
sample
together
with
weights
combination.
In
simulation-based
evaluations,
proposed
improved
precision
estimated
fold
between
further
demonstrated
practical
utility
diverse
biological
objectives,
ranging
degradation
thermal
proteome
stability,
implemented
an
open-source
R
package
MSstatsWeightedSummary.
currently
available
https://github.com/Vitek-Lab/MSstatsWeightedSummary
(doi:
10.5281/zenodo.14662989).
Code
required
reproduce
results
presented
this
article
can
found
repository
https://github.com/mstaniak/MWS_reproduction
10.5281/zenodo.14656053).
Journal of the American Society for Mass Spectrometry,
Journal Year:
2023,
Volume and Issue:
34(3), P. 383 - 393
Published: Feb. 20, 2023
Recently,
a
new
suite
of
mass
spectrometry-based
proteomic
methods
has
been
developed
that
enables
evaluation
protein
folding
stability
on
the
scale.
These
utilize
chemical
and
thermal
denaturation
approaches
(SPROX
TPP,
respectively)
as
well
proteolysis
strategies
(DARTS,
LiP,
PP)
to
assess
stability.
The
analytical
capabilities
these
technique
have
well-established
for
target
discovery
applications.
However,
less
is
known
about
relative
advantages
disadvantages
using
different
characterize
biological
phenotypes.
Reported
here
comparative
study
SPROX,
conventional
expression
level
measurements
both
mouse
model
aging
mammalian
cell
culture
breast
cancer.
Analyses
proteins
in
brain
tissue
lysates
derived
from
1-
18-month-old
mice
(n
=
4–5
at
each
time
point)
MCF-7
MCF-10A
lines
revealed
majority
differentially
stabilized
hits
phenotype
analysis
had
unchanged
levels.
In
analyses,
TPP
generated
largest
number
fraction
hits.
Only
quarter
all
identified
differential
was
detected
multiple
techniques.
This
work
also
reports
first
peptide-level
data,
which
required
correct
interpretation
analyses
performed
here.
Studies
selected
uncovered
phenotype-related
functional
changes.
Frontiers in Analytical Science,
Journal Year:
2023,
Volume and Issue:
3
Published: June 22, 2023
Functional
proteomics
aims
to
elucidate
biological
functions,
mechanisms,
and
pathways
of
proteins
proteoforms
at
the
molecular
level
examine
complex
cellular
systems
disease
states.
A
series
stability
methods
have
been
developed
protein
functionality
by
measuring
resistance
a
chemical
or
thermal
denaturation
proteolysis.
These
can
be
applied
measure
thousands
in
samples
such
as
cell
lysate,
intact
cells,
tissues,
other
fluids
proteome
stability.
Stability
popularly
observe
shifts
upon
ligand
binding
for
drug
target
identification.
More
recently,
these
characterize
effect
structural
changes
those
caused
post-translational
modifications
(PTMs)
mutations,
which
affect
structures
interactions
diversify
functions.
Here,
we
discussed
current
application
suite
methods,
including
profiling
(TPP),
from
rates
oxidation
(SPROX),
limited
proteolysis
(LiP)
PTM-induced
on
We
also
discuss
future
perspectives
highlighting
integration
top-down
mass
spectrometry
proteoform
understand
function
variable
modifications.
Cell Reports Methods,
Journal Year:
2024,
Volume and Issue:
4(2), P. 100717 - 100717
Published: Feb. 1, 2024
Method
development
for
mass
spectrometry
(MS)-based
thermal
shift
proteomic
assays
have
advanced
to
probe
small
molecules
with
known
and
unknown
protein-ligand
interaction
mechanisms
specificity,
which
is
predominantly
used
in
characterization
of
drug-protein
interactions.
In
the
discovery
target
off-target
interactions,
a
thorough
investigation
method
their
impact
on
sensitivity
accuracy
protein-small
molecule
protein-protein
interactions
warranted.
this
review,
we
discuss
areas
improvement
at
each
stage
proteome
profiling
data
analysis
that
includes
processing
MS-based
data,
development,
effect
overall
quality
profiles.
We
also
overview
optimization
experimental
strategies
prioritization
an
increased
number
independent
biological
replicates
over
evaluated
temperatures.
ACS Chemical Biology,
Journal Year:
2023,
Volume and Issue:
18(2), P. 296 - 303
Published: Jan. 5, 2023
Lactic
acid
transport
is
a
key
process
maintaining
glycolytic
flux
in
tumors.
Inhibition
of
this
will
result
shutdown,
impacting
on
cell
growth
and
survival
thus
has
been
pursued
as
therapeutic
approach
for
cancers.
Using
cell-based
screen
MCT4-dependent
line,
we
identified
optimized
compounds
their
ability
to
inhibit
the
efflux
intracellular
lactic
with
good
physical
pharmacokinetic
properties.
To
deconvolute
mechanism
inhibition,
have
developed
three
assays
measure
cellular
target
engagement.
Specifically,
synthesized
biologically
active
photoaffinity
probe
(IC50
<
10
nM),
using
probe,
demonstrated
selective
engagement
MCT4
our
parent
molecule
through
combination
confocal
microscopy
in-cell
chemoproteomics.
As
an
orthogonal
assay,
thermal
shift
assay
(CETSA)
confirmed
binding
system.
Comparisons
potencies
cells
differential
expression
MCT
family
members
further
that
inhibition
MCT4.
Taken
together,
these
data
demonstrate
power
chemical
biology
methods
determine
engagement,
particularly
proteins
not
readily
amenable
traditional
biophysical
methods.