bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 24, 2025
Abstract
Untargeted
metabolomics
can
comprehensively
map
the
chemical
space
of
a
biome,
but
is
limited
by
low
annotation
rates
(<10%).
We
used
chemistry-based
vectors,
consisting
molecular
fingerprints
or
compound
classes,
predicted
from
mass
spectrometry
data,
to
characterize
compounds
and
samples.
These
characteristics
vectors
(CCVs)
estimate
fraction
with
specific
properties
in
sample.
Unlike
aligned
MS1
data
intensity
information,
CCVs
incorporate
actual
compounds,
offering
deeper
insights
into
sample
comparisons.
Thus,
we
identified
key
classes
differentiating
biomes,
such
as
ethers
which
are
enriched
environmental
while
steroids
animal
host-related
biomes.
In
biomes
greater
variability,
revealed
clustering
organonitrogen
distal
gut
lipids
secretions.
thus
enhance
interpretation
untargeted
metabolomic
providing
quantifiable
generalizable
understanding
natural
Frontiers in Plant Science,
Год журнала:
2024,
Номер
15
Опубликована: Янв. 22, 2024
Red
chili
pepper
(
Capsicum
annuum
L.
),
which
belongs
to
the
Solanaceae
family,
contains
a
variety
of
phytochemicals
with
health-promoting
properties
including
capsaicinoids,
phenolics
and
fatty
acids.
is
one
most
consumed
vegetables
in
Korea
occupies
largest
cultivated
area
among
spices.
In
this
study,
ethanolic
extracts
from
two
Korean
local
cultivars,
namely
Subicho
Eumseong,
were
analyzed
using
hybrid
trapped
ion
mobility
Q-TOF
mass
spectrometer
equipped
UPLC
system,
their
phytochemical
profiles
then
compared
those
common
phytophthora
disease-resistant
cultivar
called
Dokbulwang,
extensively
used
for
red
powder
public
spaces
across
Korea.
Utilizing
high-resolution
ion-mobility
MS
analysis,
458
192
compounds
identified
three
different
peppers
positive
negative
modes,
respectively,
by
matching
reference
spectral
library.
Principal
component
analysis
revealed
clear
distinctions
allowing
us
identify
key
components
responsible
discriminating
cultivars
cultivar.
Furthermore,
assessment
total
flavonoid,
phenolic,
antioxidant
activity
extracts,
highlighted
diverse
molecular
chemical
profiles.
Despite
higher
flavonoid
phenolic
content
values
observed
cultivar,
radical
scavenging
rate
was
particularly
Subicho.
This
suggest
presence
stronger
indicating
potential
health
benefits
due
rich
bioactive
compounds.
Notably,
exhibited
significantly
proportions
organic
(more
than
four
times)
terpenoids
Specifically,
levels
five
major
capsaicinoid
found
when
The
disparities
composition
activities
indicate
diversity
present
these
cultivars.
Further
exploration
could
prove
invaluable
development
native
crops,
potentially
leading
discovery
novel
sources
molecules
various
applications
agriculture.
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(5), С. 2899 - 2899
Опубликована: Март 1, 2024
Liquid
chromatography
with
mass
spectrometry
(LC-MS)-based
metabolomics
detects
thousands
of
molecular
features
(retention
time–m/z
pairs)
in
biological
samples
per
analysis,
yet
the
metabolite
annotation
rate
remains
low,
90%
signals
classified
as
unknowns.
To
enhance
rates,
researchers
employ
tandem
spectral
libraries
and
challenging
silico
fragmentation
software.
Hydrogen/deuterium
exchange
(HDX-MS)
may
offer
an
additional
layer
structural
information
untargeted
metabolomics,
especially
for
identifying
specific
unidentified
metabolites
that
are
revealed
to
be
statistically
significant.
Here,
we
investigate
potential
hydrophilic
interaction
liquid
(HILIC)-HDX-MS
metabolomics.
Specifically,
evaluate
effectiveness
two
approaches
using
hypothetical
targets:
post-column
addition
deuterium
oxide
(D2O)
on-column
HILIC-HDX-MS
method.
illustrate
practical
application
HILIC-HDX-MS,
apply
this
methodology
software
MS-FINDER
unknown
compound
detected
various
samples,
including
plasma,
serum,
tissues,
feces
during
HILIC-MS
profiling,
subsequently
identified
N1-acetylspermidine.
Mass
spectral
libraries
are
collections
of
reference
spectra,
usually
associated
with
specific
analytes
from
which
the
spectra
were
generated,
that
used
for
further
downstream
analysis
new
spectra.
There
many
different
formats
encoding
libraries,
but
none
have
undergone
a
standardization
process
to
ensure
broad
applicability
applications.
As
part
Human
Proteome
Organization
Proteomics
Standards
Initiative
(PSI),
we
developed
standardized
format
called
mzSpecLib
(https://psidev.info/mzSpecLib).
It
is
primarily
data
model
flexibly
encodes
metadata
about
library
entries
using
extensible
PSI-MS
controlled
vocabulary,
and
can
be
encoded
in
converted
between
serialization
formats.
We
also
fragment
ion
peak
annotations,
mzPAF
(https://psidev.info/mzPAF).
defined
as
separate
standard
since
it
may
other
applications
besides
libraries.
The
standards
compatible
existing
PSI
such
ProForma
2.0
Universal
Spectrum
Identifier.
been
peptides
proteomics
applications,
basic
small
molecule
support.
They
could
extended
future
fields
need
encode
non-peptidic
analytes.
Abstract
Introduction
Over
the
past
two
decades,
liquid
chromatography-mass
spectrometry
(LC-MS)-based
metabolomics
has
experienced
significant
growth,
playing
a
crucial
role
in
various
scientific
disciplines.
However,
despite
these
advance-ments,
metabolite
identification
(MetID)
remains
challenge.
To
address
this,
stringent
MetID
requirements
were
established,
emphasizing
necessity
of
aligning
experimental
data
with
authentic
reference
standards
using
multiple
criteria.
Establishing
dependable
methods
and
corresponding
libraries
is
for
instilling
confidence
driving
further
progress
metabolomics.
Objective
The
EMBL-MCF
2.0
LC-MS/MS
method
public
library
was
designed
to
facilitate
both
targeted
untargeted
exclusive
focus
on
endogenous,
polar
metabolites,
which
are
known
be
challenging
analyze
due
their
hydrophilic
nature.
By
accompanying
spectral
robust
retention
times
obtained
from
low-adsorption
chromatography,
high
achieved
accessible
community.
Methods
built
interaction
chromatography
(HILIC)
state-of-the-art
low
adsorption
LC
hardware.
Both
high-resolution
tandem
mass
spectra
manually
optimized
reaction
monitoring
(MRM)
transitions
acquired
an
Orbitrap
Exploris
240
QTRAP
6500+,
respectively.
Results
Implementation
biocompatible
HILIC
facilitated
separation
isomeric
metabolites
enhancements
selectivity
sensitivity.
resulting
comprises
diverse
collection
more
than
250
biologically
relevant
metabolites.
methodology
successfully
applied
investigate
variety
biological
matrices,
exemplary
findings
showcased
murine
plasma
samples.
Conclusions
Our
work
resulted
development
library,
powerful
resource
sensitive
analyses
high-confidence
MetID.
freely
available
universal
.
msp
file
format
under
CC-BY
4.0
license:
mona.fiehnlab.ucdavis.edu
https://mona.fiehnlab.ucdavis.edu/spectra/browse?query=exists(tags.text:%27EMBL-MCF_2.0_HRMS_Library%27)
,
HRMS
https://www.embl.org/groups/metabolomics/instrumentation-and-software/#MCF-library
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 24, 2025
Abstract
Untargeted
metabolomics
can
comprehensively
map
the
chemical
space
of
a
biome,
but
is
limited
by
low
annotation
rates
(<10%).
We
used
chemistry-based
vectors,
consisting
molecular
fingerprints
or
compound
classes,
predicted
from
mass
spectrometry
data,
to
characterize
compounds
and
samples.
These
characteristics
vectors
(CCVs)
estimate
fraction
with
specific
properties
in
sample.
Unlike
aligned
MS1
data
intensity
information,
CCVs
incorporate
actual
compounds,
offering
deeper
insights
into
sample
comparisons.
Thus,
we
identified
key
classes
differentiating
biomes,
such
as
ethers
which
are
enriched
environmental
while
steroids
animal
host-related
biomes.
In
biomes
greater
variability,
revealed
clustering
organonitrogen
distal
gut
lipids
secretions.
thus
enhance
interpretation
untargeted
metabolomic
providing
quantifiable
generalizable
understanding
natural