Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: July 8, 2022
The
dia-PASEF
technology
uses
ion
mobility
separation
to
reduce
signal
interferences
and
increase
sensitivity
in
proteomic
experiments.
Here
we
present
a
two-dimensional
peak-picking
algorithm
generation
of
optimized
spectral
libraries,
as
well
take
advantage
neural
network-based
processing
data.
Our
computational
platform
boosts
depth
by
up
83%
compared
previous
work,
is
specifically
beneficial
for
fast
experiments
those
with
low
sample
amounts.
It
quantifies
over
5300
proteins
single
injections
recorded
at
200
samples
per
day
throughput
using
Evosep
One
chromatography
system
on
timsTOF
Pro
mass
spectrometer
almost
9000
93-min
nanoflow
gradient
2,
from
ng
HeLa
peptides.
A
user-friendly
implementation
provided
through
the
incorporation
algorithms
DIA-NN
software
FragPipe
workflow
library
generation.
Molecular & Cellular Proteomics,
Journal Year:
2021,
Volume and Issue:
20, P. 100138 - 100138
Published: Jan. 1, 2021
Recent
advances
in
efficiency
and
ease
of
implementation
have
rekindled
interest
ion
mobility
spectrometry,
a
technique
that
separates
gas
phase
ions
by
their
size
shape
can
be
hybridized
with
conventional
LC
MS.
Here,
we
review
the
recent
development
trapped
spectrometry
(TIMS)
coupled
to
TOF
mass
analysis.
In
particular,
parallel
accumulation–serial
fragmentation
(PASEF)
operation
mode
offers
unique
advantages
terms
sequencing
speed
sensitivity.
Its
defining
feature
is
it
synchronizes
release
from
TIMS
device
downstream
selection
precursors
for
quadrupole
configuration.
As
are
compressed
into
narrow
peaks,
number
peptide
fragment
spectra
obtained
data-dependent
or
targeted
analyses
increased
an
order
magnitude
without
compromising
Taking
advantage
correlation
between
mass,
PASEF
principle
also
multiplies
data-independent
acquisition.
This
makes
technology
well
suited
rapid
proteome
profiling,
increasingly
important
attribute
clinical
proteomics,
as
ultrasensitive
measurements
down
single
cells.
The
accuracy
enable
precise
collisional
cross
section
values
at
scale
more
than
million
data
points
neural
networks
capable
predicting
them
based
only
on
sequences.
Peptide
differ
isobaric
sequences
positional
isomers
post-translational
modifications.
additional
information
may
leveraged
real
time
direct
acquisition
postprocessing
increase
confidence
identifications.
These
developments
make
powerful
expandable
platform
proteomics
beyond.
Skeletal Muscle,
Journal Year:
2021,
Volume and Issue:
11(1)
Published: Nov. 2, 2021
Abstract
Background
Human
skeletal
muscle
is
composed
of
three
major
fiber
types,
referred
to
as
type
1,
2A,
and
2X
fibers.
This
heterogeneous
cellular
composition
complicates
the
interpretation
studies
based
on
whole
lysate.
A
single-fiber
proteomics
approach
required
obtain
a
fiber-type
resolved
quantitative
information
pathophysiology.
Methods
Single
fibers
were
dissected
from
vastus
lateralis
biopsies
young
adult
males
processed
for
mass
spectrometry-based
proteomics.
We
provide
analyze
resource
dataset
relatively
pure
fibers,
containing
at
least
80%
either
MYH7
(marker
slow
1
fibers),
MYH2
fast
2A
or
MYH1
fibers).
Results
In
more
than
3800
proteins
detected
by
proteomics,
we
selected
404
showing
statistically
significant
difference
among
types.
identified
numerous
type–specific
protein
markers,
defined
present
3-fold
higher
levels
in
these
compared
other
contrast,
could
detect
only
two
2A-specific
markers
addition
MYH2.
observed
patterns:
differential
distribution
according
sequence
>
2–specific
expressed
3
times
greater
precisely
quantifying
known
patterns,
our
study
revealed
several
novel
features
specificity,
including
selective
enrichment
components
dystrophin
integrin
complexes,
well
microtubular
proteins,
The
some
was
validated
immunofluorescence
analyses
with
specific
antibodies.
Conclusion
here
show
that
whose
function
unknown,
are
selectively
enriched
pointing
potential
implications
reinforces
notion
together
recently
developed
approaches
single-cell
will
be
instrumental
explore
quantify
cell
heterogeneity.