Journal of Medicinal Chemistry,
Journal Year:
2022,
Volume and Issue:
65(18), P. 12014 - 12030
Published: Sept. 12, 2022
Inflammatory
responses
are
important
in
cancer,
particularly
the
context
of
monocyte-rich
aggressive
myeloid
neoplasm.
We
developed
a
label-free
cellular
phenotypic
drug
discovery
assay
to
identify
anti-inflammatory
drugs
human
monocytes
derived
from
acute
leukemia
(AML),
by
tracking
several
features
ionizing
only
2500
cells
using
matrix-assisted
laser
desorption/ionization-time
flight
(MALDI-TOF)
mass
spectrometry.
A
proof-of-concept
screen
showed
that
BCR-ABL
inhibitor
nilotinib,
but
not
structurally
similar
imatinib,
blocks
inflammatory
responses.
In
order
(off-)targets
we
performed
thermal
proteome
profiling
(TPP).
Unlike
nilotinib
and
other
later-generation
inhibitors
bind
p38α
inhibit
p38α-MK2/3
signaling
axis,
which
suppressed
pro-inflammatory
cytokine
expression,
cell
adhesion,
innate
immunity
markers
activated
AML.
Thus,
our
study
provides
tool
for
new
drugs,
could
contribute
treatment
inflammation
neoplasms
diseases.
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.
Nature Chemical Biology,
Journal Year:
2023,
Volume and Issue:
19(8), P. 962 - 971
Published: March 20, 2023
Abstract
The
complexity
of
the
functional
proteome
extends
considerably
beyond
coding
genome,
resulting
in
millions
proteoforms.
Investigation
proteoforms
and
their
roles
is
important
to
understand
cellular
physiology
its
deregulation
diseases
but
challenging
perform
systematically.
Here
we
applied
thermal
profiling
with
deep
peptide
coverage
detect
proteoform
groups
acute
lymphoblastic
leukemia
cell
lines
different
cytogenetic
aberrations.
We
detected
15,846
proteoforms,
capturing
differently
spliced,
cleaved
post-translationally
modified
proteins
expressed
from
9,290
genes.
identified
differential
co-aggregation
pairs
established
links
disease
biology.
Moreover,
systematically
made
use
measured
biophysical
states
find
specific
biomarkers
drug
sensitivity.
Our
approach,
thus,
provides
a
powerful
unique
tool
for
systematic
detection
annotation
groups.
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.
Cancer Discovery,
Journal Year:
2024,
Volume and Issue:
14(8), P. 1457 - 1475
Published: April 6, 2024
Microsatellite-unstable
(MSI)
cancers
require
WRN
helicase
to
resolve
replication
stress
due
expanded
DNA
(TA)n
dinucleotide
repeats.
is
a
promising
synthetic
lethal
target
for
MSI
tumors,
and
inhibitors
are
in
development.
In
this
study,
we
used
CRISPR-Cas9
base
editing
map
residues
critical
cells,
validating
the
domain
as
primary
drug
target.
Fragment-based
screening
led
development
of
potent
highly
selective
covalent
inhibitors.
These
compounds
selectively
suppressed
model
growth
vitro
vivo
by
mimicking
loss,
inducing
double-strand
breaks
at
TA
repeats
damage.
Assessment
biomarkers
preclinical
models
linked
TA-repeat
expansions
mismatch
repair
alterations
compound
activity.
Efficacy
was
confirmed
immunotherapy-resistant
organoids
patient-derived
xenograft
models.
The
discovery
potent,
provides
proof
concept
targeting
cancer
tools
dissect
biology.
Significance:
We
report
characterization
treatment,
with
biomarker
analysis
evaluation
efficacy
immunotherapy-refractory
findings
pave
way
translate
inhibition
into
therapies
provide
investigate
See
related
commentary
Wainberg,
p.
1369.
Chemical Science,
Journal Year:
2024,
Volume and Issue:
15(8), P. 2833 - 2847
Published: Jan. 1, 2024
Drug
development
is
plagued
by
inefficiency
and
high
costs
due
to
issues
such
as
inadequate
drug
efficacy
unexpected
toxicity.
Mass
spectrometry
(MS)-based
proteomics,
particularly
isobaric
quantitative
offers
a
solution
unveil
resistance
mechanisms
unforeseen
side
effects
related
off-targeting
pathways.
Thermal
proteome
profiling
(TPP)
has
gained
popularity
for
target
identification
at
the
scale.
However,
it
involves
experiments
with
multiple
temperature
points,
resulting
in
numerous
samples
considerable
variability
large-scale
TPP
analysis.
We
propose
high-throughput
discovery
workflow
that
integrates
single-temperature
TPP,
fully
automated
proteomics
sample
preparation
platform
(autoSISPROT),
data
independent
acquisition
(DIA)
quantification.
The
autoSISPROT
enables
simultaneous
processing
of
96
less
than
2.5
hours,
achieving
protein
digestion,
desalting,
optional
TMT
labeling
(requires
an
additional
1
hour)
96-channel
all-in-tip
operations.
results
demonstrated
excellent
performance
>94%
digestion
efficiency,
>98%
>0.9
intra-
inter-batch
Pearson
correlation
coefficients.
By
automatically
87
samples,
we
identified
both
known
targets
potential
off-targets
20
kinase
inhibitors,
affording
over
10-fold
improvement
throughput
compared
classical
TPP.
This
target/off-target
identification.
The Annual Review of Pharmacology and Toxicology,
Journal Year:
2021,
Volume and Issue:
62(1), P. 465 - 482
Published: Sept. 9, 2021
Drug
target
deconvolution
can
accelerate
the
drug
discovery
process
by
identifying
a
drug's
targets
(facilitating
medicinal
chemistry
efforts)
and
off-targets
(anticipating
toxicity
effects
or
adverse
reactions).
Multiple
mass
spectrometry–based
approaches
have
been
developed
for
this
purpose,
but
thermal
proteome
profiling
(TPP)
remains
to
date
only
one
that
does
not
require
compound
modification
be
used
identify
intracellular
in
living
cells.
TPP
is
based
on
principle
stability
of
protein
affected
its
interactions.
Recent
developments
approach
expanded
applications
beyond
drugs
cell
cultures
studying
protein-drug
interactions
biological
phenomena
tissues.
These
open
up
possibility
treatment
mechanisms
disease
holistic
fashion,
which
result
design
better
lead
understanding
fundamental
biology.
Recent
advances
in
mass
spectrometry
(MS)
have
enabled
quantitative
proteomics
to
become
a
powerful
tool
the
field
of
drug
discovery,
especially
when
applied
toward
proteome-wide
target
engagement
studies.
Similar
temperature
gradients,
increasing
concentrations
organic
solvents
stimulate
unfolding
and
precipitation
cellular
proteome.
This
property
can
be
influenced
by
physical
association
with
ligands
other
molecules,
making
individual
proteins
more
or
less
susceptible
solvent-induced
denaturation.
Herein,
we
report
development
solvent
shift
assays
combining
principles
(Zhang
et
al.,
2020)
modern
proteomics.
Using
this
approach,
developed
proteome
profiling
(SPP),
which
is
capable
establishing
through
analysis
SPP
denaturation
curves.
We
readily
identified
specific
targets
compounds
known
mechanisms
action.
As
further
efficiency
boost,
concept
area
under
curve
develop
integral
solubility
alteration
(solvent-PISA)
demonstrate
that
approach
serve
as
reliable
surrogate
for
SPP.
propose
alternative
methods,
like
thermal
profiling,
it
will
possible
increase
absolute
number
high-quality
melting
curves
are
attainable
either
individually,
thereby
fraction
screened
evidence
ligand
binding.
Journal of Medicinal Chemistry,
Journal Year:
2022,
Volume and Issue:
65(19), P. 12725 - 12746
Published: Sept. 19, 2022
Targeted
protein
degradation
(TPD)
strategies
exploit
bivalent
small
molecules
to
bridge
substrate
proteins
an
E3
ubiquitin
ligase
induce
degradation.
Few
E3s
have
been
explored
as
effectors
due
a
dearth
of
E3-binding
molecules.
We
show
that
genetically
induced
recruitment
the
GID4
subunit
CTLH
complex
induces
An
NMR-based
fragment
screen
followed
by
structure-guided
analog
elaboration
identified
two
binders
GID4,
16
and
67,
with
Kd
values
110
17
μM
in
vitro.
A
parallel
DNA-encoded
library
(DEL)
five
best
which,
88,
had
5.6
vitro
EC50
558
nM
cells
strong
selectivity
for
GID4.
X-ray
co-structure
determination
revealed
basis
GID4–small
molecule
interactions.
These
results
position
GID4-CTLH
TPD
provide
candidate
scaffolds
high-affinity
moieties
bind
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 27, 2024
In
response
to
an
ever-increasing
demand
of
new
small
molecules
therapeutics,
numerous
chemical
and
genetic
tools
have
been
developed
interrogate
compound
mechanism
action.
Owing
its
ability
approximate
compound-dependent
changes
in
thermal
stability,
the
proteome-wide
shift
assay
has
emerged
as
a
powerful
tool
this
arsenal.
The
most
recent
iterations
drastically
improved
overall
efficiency
these
assays,
providing
opportunity
screen
compounds
at
previously
unprecedented
rate.
Taking
advantage
advance,
we
quantified
more
than
one
million
stability
measurements
multiple
classes
therapeutic
(96
living
cells
70
lysates).
When
interrogating
dataset
whole,
approximately
80%
(with
quantifiable
targets)
caused
significant
change
annotated
target.
There
was
also
wealth
evidence
portending
off-target
engagement
despite
extensive
use
laboratory
and/or
clinic.
Finally,
combined
application
cell-
lysate-based
aided
classification
primary
(direct
ligand
binding)
secondary
(indirect)
stability.
Overall,
study
highlights
value
assays
drug
development
process
by
affording
unbiased
reliable
assessment