The Analyst,
Год журнала:
2024,
Номер
150(2), С. 353 - 361
Опубликована: Дек. 13, 2024
Absolute
LC/MRM-MS
based
quantitation
targeting
270
proteins
yielded
44%
more
quantifiable
when
combined
with
automated
nanoparticle
(NP)-based
fractionation
and
digestion
approach
as
compared
to
neat
trypsin
digestion.
Molecular & Cellular Proteomics,
Год журнала:
2024,
Номер
23(5), С. 100760 - 100760
Опубликована: Апрель 3, 2024
We
describe
deep
analysis
of
the
human
proteome
in
less
than
one
hour.
achieve
this
expedited
characterization
by
leveraging
state-of-the-art
sample
preparation,
chromatographic
separations,
data
tools,
and
using
new
Orbitrap
Astral
mass
spectrometer
equipped
with
a
quadrupole
filter,
high-field
analyzer,
an
asymmetric
track
lossless
(Astral)
analyzer.
The
system
offers
high
MS/MS
acquisition
speed
200
Hz
detects
hundreds
peptide
sequences
per
second
within
independent-
or
data-dependent
modes
operation.
fast-switching
capabilities
complement
sensitivity
fast
ion
scanning
analyzer
to
enable
narrow-bin
data-independent
(DIA)
methods.
Over
30-minute
active
method
consuming
total
time
56
minutes,
Q-Orbitrap-Astral
hybrid
MS
collects
average
4,319
MS1
scans
438,062
run,
producing
235,916
(1%
false
discovery
rate
(FDR)).
On
average,
each
achieved
detection
10,411
protein
groups
FDR).
conclude,
these
results
alongside
other
recent
reports,
that
one-hour
is
reach.
Abstract
Our
current
understanding
of
the
determinants
plasma
proteome
variation
during
pediatric
development
remains
incomplete.
Here,
we
show
that
genetic
variants,
age,
sex
and
body
mass
index
significantly
influence
this
variation.
Using
a
streamlined
highly
quantitative
spectrometry-based
proteomics
workflow,
analyzed
from
2,147
children
adolescents,
identifying
1,216
proteins
after
quality
control.
Notably,
levels
70%
these
were
associated
with
at
least
one
aforementioned
factors,
protein
also
being
predictive.
Quantitative
trait
loci
(QTLs)
regulated
one-third
proteins;
between
few
percent
up
to
30-fold.
Together
excellent
replication
in
an
additional
1,000
558
adults,
reveals
substantial
effects
on
levels,
persisting
childhood
into
adulthood.
Through
Mendelian
randomization
colocalization
analyses,
identified
41
causal
genes
for
33
cardiometabolic
traits,
emphasizing
value
QTLs
drug
target
identification
disease
understanding.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 1, 2024
Genome-wide
association
studies
(GWAS)
with
proteomics
are
essential
tools
for
drug
discovery.
To
date,
most
have
used
affinity
platforms,
which
limited
discovery
to
protein
panels
covered
by
the
available
binders.
Furthermore,
it
is
not
clear
extent
epitope
changing
variants
interfere
detection
of
quantitative
trait
loci
(pQTLs).
Mass
spectrometry-based
(MS)
can
overcome
some
these
limitations.
Here
we
report
a
GWAS
using
MS-based
Seer
Proteograph
Biomolecules,
Год журнала:
2025,
Номер
15(1), С. 130 - 130
Опубликована: Янв. 15, 2025
Proteomics
accelerates
diagnosis
and
research
of
muscular
diseases
by
enabling
the
robust
analysis
proteins
relevant
for
manifestation
neuromuscular
in
following
aspects:
(i)
evaluation
effect
genetic
variants
on
corresponding
protein,
(ii)
prediction
underlying
defect
based
proteomic
signature
muscle
biopsies,
(iii)
pathophysiologies
different
entities
diseases,
key
definition
new
intervention
concepts,
(iv)
patient
stratification
according
to
biochemical
fingerprints
as
well
(v)
monitoring
success
therapeutic
interventions.
This
review
presents—also
through
exemplary
case
studies—the
various
advantages
mass
proteomics
investigation
discusses
technical
limitations,
provides
an
outlook
possible
future
application
concepts.
Hence,
is
excellent
large-scale
analytical
tool
diagnostic
workup
(hereditary)
warrants
systematic
profiling
pathophysiological
processes.
The
steady
development
may
allow
overcome
existing
limitations
including
a
quenched
dynamic
range
quantification
protein
isoforms.
Future
directions
include
targeted
settings
using
not
only
biopsies
but
also
liquid
address
need
minimally
invasive
procedures.
Molecular & Cellular Proteomics,
Год журнала:
2024,
Номер
23(9), С. 100830 - 100830
Опубликована: Авг. 14, 2024
The
study
of
the
cellular
secretome
using
proteomic
techniques
continues
to
capture
attention
research
community
across
a
broad
range
topics
in
biomedical
research.
Due
their
untargeted
nature,
independence
from
model
system
used,
historically
superior
depth
analysis,
as
well
comparative
affordability,
mass
spectrometry-based
approaches
traditionally
dominate
such
analyses.
More
recently,
however,
affinity-based
assays
have
massively
gained
analytical
depth,
which
together
with
high
sensitivity,
dynamic
coverage
throughput
capabilities
render
them
exquisitely
suited
analysis.
In
this
review,
we
revisit
challenges
implied
by
secretomics
and
provide
an
overview
platforms
currently
available
for
analyses,
tumor
example
basic
translational
Journal of Proteome Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 31, 2024
Recent
improvements
in
proteomics
technologies
have
fundamentally
altered
our
capacities
to
characterize
human
biology.
There
is
an
ever-growing
interest
using
these
novel
methods
for
studying
the
circulating
proteome,
as
blood
offers
accessible
window
into
health.
However,
every
methodological
innovation
and
analytical
progress
calls
reassessing
existing
approaches
routines
ensure
that
new
data
will
add
value
greater
biomedical
research
community
avoid
previous
errors.
As
representatives
of
HUPO's
Human
Plasma
Proteome
Project
(HPPP),
we
present
2024
survey
current
community,
including
latest
build
PeptideAtlas
now
comprises
4608
proteins
detected
113
sets.
We
then
discuss
updates
established
methods,
emerging
technologies,
investigations
proteoforms,
protein
networks,
extracellualr
vesicles,
antibodies
microsamples.
Finally,
provide
a
prospective
view
tools
studies
proteins.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 13, 2025
Abstract
We
report
a
systematic
quantification
of
10,841
unique
proteins
from
over
700
GTEx
samples,
representing
five
human
tissues.
Sex,
age
and
genetic
factors
are
associated
with
variation
in
protein
abundance.
In
total,
1981
cis-protein
quantitative
trait
loci
(cis-pQTL)
identified,
which
majority
targets
have
not
been
assayed
the
recent
plasma-based
proteogenomic
studies.
Integrating
transcriptomic
information
matching
tissues
delineates
concordant
as
well
discordant
expression
patterns
at
RNA
levels.
Juxtaposition
data
different
indicates
both
shared
tissue-specific
architecture
that
underlie
Complementing
genomic
annotation,
RNA-based
eQTL
studies,
establishment
characterization,
tissue-pQTLs
shed
light
on
biology
underlying
genotype-phenotype
association
complex
traits
diseases.