Analytical Chemistry,
Год журнала:
2023,
Номер
95(24), С. 9145 - 9150
Опубликована: Июнь 8, 2023
Identification
and
proteomic
characterization
of
rare
cell
types
within
complex
organ-derived
mixtures
is
best
accomplished
by
label-free
quantitative
mass
spectrometry.
High
throughput
required
to
rapidly
survey
hundreds
thousands
individual
cells
adequately
represent
populations.
Here
we
present
parallelized
nanoflow
dual-trap
single-column
liquid
chromatography
(nanoDTSC)
operating
at
15
min
total
run
time
per
with
peptides
quantified
over
11.5
using
standard
commercial
components,
thus
offering
an
accessible
efficient
LC
solution
analyze
96
single
day.
At
this
throughput,
nanoDTSC
1000
proteins
in
cardiomyocytes
heterogeneous
populations
from
the
aorta.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Март 15, 2024
Circular
RNAs
(circRNAs)
are
covalently
closed
non-coding
lacking
the
5'
cap
and
poly-A
tail.
Nevertheless,
it
has
been
demonstrated
that
certain
circRNAs
can
undergo
active
translation.
Therefore,
aberrantly
expressed
in
human
cancers
could
be
an
unexplored
source
of
tumor-specific
antigens,
potentially
mediating
anti-tumor
T
cell
responses.
This
study
presents
immunopeptidomics
workflow
with
a
specific
focus
on
generating
circRNA-specific
protein
fasta
reference.
The
main
goal
this
is
to
streamline
process
identifying
validating
leukocyte
antigen
(HLA)
bound
peptides
originating
from
circRNAs.
We
increase
analytical
stringency
our
by
retaining
identified
independently
two
mass
spectrometry
search
engines
and/or
applying
group-specific
FDR
for
canonical-derived
circRNA-derived
peptides.
A
subset
specifically
encoded
region
spanning
back-splice
junction
(BSJ)
validated
targeted
MS,
direct
Sanger
sequencing
respective
transcripts.
Our
identifies
54
unique
BSJ-spanning
immunopeptidome
melanoma
lung
cancer
samples.
approach
enlarges
catalog
proteins
explored
immunotherapy.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Фев. 2, 2024
Proteogenomics
studies
generate
hypotheses
on
protein
function
and
provide
genetic
evidence
for
drug
target
prioritization.
Most
previous
work
has
been
conducted
using
affinity-based
proteomics
approaches.
These
technologies
face
challenges,
such
as
uncertainty
regarding
identity,
non-specific
binding,
handling
of
variants
that
affect
epitope
affinity
binding.
Mass
spectrometry-based
can
overcome
some
these
challenges.
Here
we
report
a
pQTL
study
the
Proteograph™
Product
Suite
workflow
(Seer,
Inc.)
where
quantify
over
18,000
unique
peptides
from
nearly
3000
proteins
in
more
than
320
blood
samples
multi-ethnic
cohort
bottom-up,
peptide-centric,
mass
approach.
We
identify
184
protein-altering
137
genes
are
significantly
associated
with
their
corresponding
variant
peptides,
confirming
specificity
co-associated
binders,
identifying
putatively
causal
cis-encoded
providing
experimental
presence
blood,
including
may
be
inaccessible
to
proteomics.
Journal of Proteome Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 10, 2024
The
FragPipe
computational
proteomics
platform
is
gaining
widespread
popularity
among
the
research
community
because
of
its
fast
processing
speed
and
user-friendly
graphical
interface.
Although
produces
well-formatted
output
tables
that
are
ready
for
analysis,
there
still
a
need
an
easy-to-use
downstream
statistical
analysis
visualization
tool.
FragPipe-Analyst
addresses
this
by
providing
R
shiny
web
server
to
assist
users
in
conducting
analyses
resulting
quantitative
data.
It
supports
major
quantification
workflows,
including
label-free
quantification,
tandem
mass
tags,
data-independent
acquisition.
offers
range
useful
functionalities,
such
as
various
missing
value
imputation
options,
data
quality
control,
unsupervised
clustering,
differential
expression
(DE)
using
Limma,
gene
ontology
pathway
enrichment
Enrichr.
To
support
advanced
customized
visualizations,
we
also
developed
FragPipeAnalystR,
package
encompassing
all
functionalities
extended
site-specific
post-translational
modifications
(PTMs).
FragPipeAnalystR
both
open-source
freely
available.
During
normal
cellular
homeostasis,
unfolded
and
mislocalized
proteins
are
recognized
removed,
preventing
the
build-up
of
toxic
byproducts1.
When
protein
homeostasis
is
perturbed
during
ageing,
neurodegeneration
or
stress,
can
accumulate
several
forms
chemical
damage
through
reactive
metabolites2,3.
Such
modifications
have
been
proposed
to
trigger
selective
removal
chemically
marked
proteins3-6;
however,
identifying
that
sufficient
induce
degradation
has
remained
challenging.
Here,
using
a
semi-synthetic
biology
approach
coupled
assays,
we
found
C-terminal
amide-bearing
(CTAPs)
rapidly
cleared
from
human
cells.
A
CRISPR
screen
identified
FBXO31
as
reader
amides.
substrate
receptor
for
SKP1-CUL1-F-box
(SCF)
ubiquitin
ligase
SCF-FBXO31,
which
ubiquitylates
CTAPs
subsequent
proteasomal
degradation.
conserved
binding
pocket
enables
bind
almost
any
peptide
bearing
an
amide
while
retaining
exquisite
selectivity
over
non-modified
clients.
This
mechanism
facilitates
turnover
endogenous
formed
after
oxidative
stress.
dominant
mutation
in
neurodevelopmental
disorders
reverses
CTAP
recognition,
such
non-amidated
neosubstrates
now
degraded
becomes
markedly
toxic.
We
propose
may
represent
vanguard
largely
unexplored
class
modified
amino
acid
degrons
could
provide
general
strategy
yet
broad
surveillance
damaged
proteins.
Nature Communications,
Год журнала:
2025,
Номер
16(1)
Опубликована: Янв. 2, 2025
Abstract
Data-independent
acquisition
has
become
a
widely
used
strategy
for
peptide
and
protein
quantification
in
liquid
chromatography-tandem
mass
spectrometry-based
proteomics
studies.
The
integration
of
ion
mobility
separation
into
data-independent
analysis,
such
as
the
diaPASEF
technology
available
on
Bruker’s
timsTOF
platform,
further
improves
accuracy
depth
achievable
using
acquisition.
We
introduce
diaTracer,
spectrum-centric
computational
tool
optimized
data.
diaTracer
performs
three-dimensional
(mass
to
charge
ratio,
retention
time,
mobility)
peak
tracing
feature
detection
generate
precursor-resolved
“pseudo-tandem
spectra”,
facilitating
direct
(“spectral-library
free”)
identification
from
is
stand-alone
fully
integrated
FragPipe
platform.
demonstrate
performance
data
triple-negative
breast
cancer,
cerebrospinal
fluid,
plasma
samples,
phosphoproteomics
human
leukocyte
antigens
immunopeptidomics
experiments,
low-input
spatial
study.
also
show
that
enables
unrestricted
post-translational
modifications
open/mass-offset
searches.
Translational Oncology,
Год журнала:
2022,
Номер
27, С. 101556 - 101556
Опубликована: Окт. 19, 2022
The
field
of
single-cell
omics
is
rapidly
progressing.
Although
DNA
and
RNA
sequencing-based
methods
have
dominated
the
to
date,
global
proteome
profiling
has
also
entered
main
stage.
Single-cell
proteomics
was
facilitated
by
advancements
in
different
aspects
mass
spectrometry
(MS)-based
proteomics,
such
as
instrument
design,
sample
preparation,
chromatography
ion
mobility.
(scp-MS)
moved
beyond
being
a
mere
technical
development,
now
able
deliver
actual
biological
application
been
successfully
applied
characterize
cell
states.
Here,
we
review
some
key
developments
scp-MS,
provide
background
field,
discuss
various
available
foresee
possible
future
directions.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Окт. 31, 2022
Abstract
We
present
Slice-PASEF,
a
novel
mass
spectrometry
technology
based
on
trapped
ion
mobility
separation
of
ions.
Slice-PASEF
allows
to
achieve
the
theoretical
maximum
MS/MS
sensitivity
and
boosts
proteomics
low
sample
amounts.
Leveraging
we
show,
for
first
time,
that
comprehensive
profiling
single
cell-level
peptide
amounts
is
possible
using
ultra-fast
microflow
chromatography
general-purpose
spectrometer,
allowing
quantification
1417
proteins
from
200
picograms
HeLa
cell
standard
an
Evosep
One
LC
system
coupled
timsTOF
Pro
2,
at
samples
per
day
throughput.
implemented
module
in
our
DIA-NN
data
processing
software,
make
it
readily
available
community.
Journal of Proteome Research,
Год журнала:
2022,
Номер
21(12), С. 2846 - 2892
Опубликована: Ноя. 10, 2022
The
performance
of
the
current
bottom-up
liquid
chromatography
hyphenated
with
mass
spectrometry
(LC-MS)
analyses
has
undoubtedly
been
fueled
by
spectacular
progress
in
spectrometry.
It
is
thus
not
surprising
that
MS
instrument
attracts
most
attention
during
LC-MS
method
development,
whereas
optimizing
conditions
for
peptide
separation
using
reversed-phase
(RPLC)
remains
somewhat
its
shadow.
Consequently,
wisdom
fundaments
slowly
vanishing
from
some
laboratories.
However,
full
potential
advanced
instruments
cannot
be
achieved
without
highly
efficient
RPLC.
This
impossible
to
attain
understanding
fundamental
processes
chromatographic
system
and
properties
peptides
important
their
behavior.
We
wrote
this
tutorial
intending
give
practitioners
an
overview
critical
aspects
RPLC
facilitate
setting
LC
parameters
so
they
can
leverage
capabilities
instruments.
After
briefly
introducing
gradient
peptides,
we
discuss
affect
quality
chromatograms
most.
Next,
address
in-column
extra-column
broadening.
last
section
devoted
key
methods.
also
extracted
trends
practice
recent
proteomics
studies
correlated
them
knowledge
on
separation.