Metabolites,
Journal Year:
2023,
Volume and Issue:
13(10), P. 1097 - 1097
Published: Oct. 19, 2023
Methodologies
for
the
synthesis
and
purification
of
metabolites,
which
have
been
developed
following
their
discovery,
analysis,
structural
identification,
involved
in
numerous
life
science
milestones.
The
renewed
focus
on
small
molecule
domain
biological
cells
has
also
created
an
increasing
awareness
rising
gap
between
metabolites
identified
prepared
as
pure
compounds.
design
engineering
resource-efficient
straightforward
synthetic
methodologies
production
diverse
metabolite-like
compounds
attracted
much
interest.
variety
metabolic
pathways
provides
a
wonderful
blueprint
designing
simplified
routes
to
desired
metabolites.
Therefore,
biocatalytic
systems
become
key
enabling
tools
number
can
then
be
utilized
standards,
enzyme
substrates,
inhibitors,
or
other
products,
discovery
novel
functions.
Plant Biotechnology Journal,
Journal Year:
2024,
Volume and Issue:
22(10), P. 2641 - 2659
Published: May 31, 2024
Cadmium
(Cd)
is
one
of
the
most
toxic
heavy
metals
faced
by
plants
and,
additionally,
via
food
chain,
threatens
human
health.
It
principally
dispersed
through
agro-ecosystems
anthropogenic
activities
and
geogenic
sources.
Given
its
high
mobility
persistence,
Cd,
although
not
required,
can
be
readily
assimilated
thereby
posing
a
threat
to
plant
growth
productivity
as
well
animal
Thus,
breeding
crop
in
which
edible
parts
contain
low
zero
Cd
safe
stuffs
harvesting
shoots
Cd-containing
route
for
decontaminating
soils
are
vital
strategies
cope
with
this
problem.
Recently,
multiomics
approaches
have
been
employed
considerably
enhance
our
understanding
mechanisms
underlying
(i)
toxicity,
(ii)
accumulation,
(iii)
detoxification
(iv)
acquisition
tolerance
plants.
This
information
deployed
development
biotechnological
tools
developing
modulated
safeguard
cellular
genetic
integrity
minimize
chain
contamination.
The
aim
review
provide
current
update
about
involved
uptake
recent
developments
area
approach
terms
stress
responses,
tolerant
accumulating
crops.
Journal of Experimental Botany,
Journal Year:
2023,
Volume and Issue:
75(5), P. 1289 - 1313
Published: Nov. 9, 2023
Abstract
Advances
in
high
throughput
omics
techniques
provide
avenues
to
decipher
plant
microbiomes.
However,
there
is
limited
information
on
how
integrated
informatics
can
help
deeper
insights
into
plant–microbe
interactions
a
concerted
way.
Integrating
multi-omics
datasets
transform
our
understanding
of
the
microbiome
from
unspecified
genetic
influences
interacting
species
specific
gene-by-gene
interactions.
Here,
we
highlight
recent
progress
and
emerging
strategies
crop
research
review
key
aspects
integration
host
microbial
omics-based
be
used
comprehensive
outline
complex
crop–microbe
We
describe
these
technological
advances
have
helped
unravel
crucial
genes
pathways
that
control
beneficial,
pathogenic,
commensal
identify
knowledge
gaps
synthesize
current
limitations
approaches.
studies
which
multi-omics-based
approaches
led
improved
models
community
structure
function.
Finally,
recommend
holistic
integrating
achieve
precision
efficiency
data
analysis,
for
biotic
abiotic
stress
contribution
microbiota
shaping
fitness.
The Plant Journal,
Journal Year:
2024,
Volume and Issue:
119(5), P. 2168 - 2180
Published: July 11, 2024
SUMMARY
Mass
spectrometry
imaging
(MSI)
has
become
increasingly
popular
in
plant
science
due
to
its
ability
characterize
complex
chemical,
spatial,
and
temporal
aspects
of
metabolism.
Over
the
past
decade,
as
emerging
unique
features
various
MSI
techniques
have
continued
support
new
discoveries
studies
metabolism
closely
associated
with
function
physiology,
spatial
metabolomics
based
on
positioned
it
at
forefront
metabolic
studies,
providing
opportunity
for
far
higher
resolution
than
was
previously
available.
Despite
these
efforts,
profound
challenges
levels
resolution,
sensitivity,
quantitative
ability,
chemical
confidence,
isomer
discrimination,
multi‐omics
integration,
undoubtedly
remain.
In
this
Perspective,
we
provide
a
contemporary
overview
emergent
widely
used
sciences,
particular
emphasis
recent
advances
methodological
breakthroughs.
Having
established
detailed
context
MSI,
outline
both
golden
opportunities
key
currently
facing
metabolomics,
presenting
our
vision
how
enormous
potential
technologies
will
contribute
progress
coming
years.
Journal of Experimental Botany,
Journal Year:
2023,
Volume and Issue:
75(6), P. 1654 - 1670
Published: Oct. 27, 2023
Mass
spectrometry
imaging
(MSI)
has
emerged
as
an
invaluable
analytical
technique
for
investigating
the
spatial
distribution
of
molecules
within
biological
systems.
In
realm
plant
science,
MSI
is
increasingly
employed
to
explore
metabolic
processes
across
a
wide
array
tissues,
including
those
in
leaves,
fruits,
stems,
roots,
and
seeds,
spanning
various
systems
such
model
species,
staple
energy
crops,
medicinal
plants.
By
generating
maps
metabolites,
elucidated
patterns
diverse
metabolites
phytochemicals,
encompassing
lipids,
carbohydrates,
amino
acids,
organic
phenolics,
terpenes,
alkaloids,
vitamins,
pigments,
others,
thereby
providing
insights
into
their
pathways
functional
roles.
this
review,
we
present
recent
studies
that
demonstrate
advances
made
visualizing
metabolome.
Moreover,
emphasize
technical
progress
enhances
identification
interpretation
metabolite
maps.
Within
mere
decade
since
inception
studies,
robust
technology
poised
continue
vital
tool
tackling
complex
challenges
metabolism.
TrAC Trends in Analytical Chemistry,
Journal Year:
2023,
Volume and Issue:
167, P. 117248 - 117248
Published: Aug. 21, 2023
The
human
microbiome
and
its
metabolic
output
play
an
important
role
in
shaping
health
disease.
host-microbe
crosstalk
is
often
characterised
using
metabolomics
metagenomics,
yet
a
large
proportion
of
microbial
metabolites
the
molecular
functions
gut
microbes
remain
unknown.
This
review
summarises
strategies
for
annotation
discovery
novel
from
microbiome,
either
alone
or
combination
with
presents
data
analysis
methods
combining
these
two
types
to
obtain
biological
insights.
Applications
research
biomarker
screening,
precision
medicine,
drug
are
also
discussed,
along
perspectives,
challenges
limitations
this
field.
The ISME Journal,
Journal Year:
2023,
Volume and Issue:
17(12), P. 2147 - 2159
Published: Oct. 19, 2023
Abstract
Advances
in
bioanalytical
technologies
are
constantly
expanding
our
insights
into
complex
ecosystems.
Here,
we
highlight
strategies
and
applications
that
make
use
of
non-targeted
metabolomics
methods
aquatic
chemical
ecology
research
discuss
opportunities
remaining
challenges
mass
spectrometry-based
to
broaden
understanding
environmental
systems.
Essays in Biochemistry,
Journal Year:
2023,
Volume and Issue:
68(1), P. 5 - 13
Published: Nov. 24, 2023
Abstract
Metabolomics
has
emerged
as
an
indispensable
tool
for
exploring
complex
biological
questions,
providing
the
ability
to
investigate
a
substantial
portion
of
metabolome.
However,
vast
complexity
and
structural
diversity
intrinsic
metabolites
imposes
great
challenge
data
analysis
interpretation.
Liquid
chromatography
mass
spectrometry
(LC-MS)
stands
out
versatile
technique
offering
extensive
metabolite
coverage.
In
this
mini-review,
we
address
some
hurdles
posed
by
nature
LC-MS
data,
brief
overview
computational
tools
designed
help
tackling
these
challenges.
Our
focus
centers
on
two
major
steps
that
are
essential
most
metabolomics
investigations:
translation
raw
into
quantifiable
features,
extraction
insights
from
spectra
facilitate
identification.
By
current
solutions,
aim
at
critical
capabilities
constraints
spectrometry-based
metabolomics,
while
introduce
recent
trends
in
processing
within
field.
Frontiers in Pharmacology,
Journal Year:
2024,
Volume and Issue:
15
Published: Sept. 6, 2024
Traditional
Chinese
medicine
(TCM)
is
playing
an
increasingly
important
role
in
disease
treatment
due
to
the
advantages
of
multi-target,
multi-pathway
mechanisms,
low
adverse
reactions
and
cost-effectiveness.
However,
complexity
TCM
system
poses
challenges
for
research.
In
recent
years,
there
has
been
a
surge
application
multi-omics
integrated
research
explore
active
components
mechanisms
from
various
perspectives,
which
aids
advancing
TCM's
integration
into
clinical
practice
holds
immense
importance
promoting
modernization.
this
review,
we
discuss
proteomics,
metabolomics,
mass
spectrometry
imaging
study
composition,
quality
evaluation,
target
identification,
mechanism
action
based
on
existing
literature.
We
focus
workflows
applications
TCM.
Additionally,
potential
ideas
future
exploration
are
outlined.
Overall,
emphasize
prospects
substance
basis
This
synthesis
methodologies
promise
enhancing
our
understanding
driving
its
further
contemporary
medical
practices.
Journal of Chemical Information and Modeling,
Journal Year:
2023,
Volume and Issue:
63(24), P. 7628 - 7641
Published: Dec. 11, 2023
Multiclass
metabolomic
studies
have
become
popular
for
revealing
the
differences
in
multiple
stages
of
complex
diseases,
various
lifestyles,
or
effects
specific
treatments.
In
multiclass
metabolomics,
there
are
data
manipulation
steps
analyzing
raw
data,
which
consist
filtering,
imputation
missing
values,
normalization,
marker
identification,
sample
separation,
classification,
and
so
on.
each
step,
several
to
dozens
machine
learning
methods
can
be
chosen
given
set,
with
potentially
hundreds
thousands
method
combinations
whole
processing
chain.
Therefore,
a
clear
understanding
these
is
helpful
selecting
an
appropriate
combination
obtaining
stable
reliable
analytical
results
data.
However,
has
rarely
been
overall
introduction
evaluation
based
on
Herein,
detailed
descriptions
reviewed.
Moreover,
assessment
was
performed
using
benchmark
set
metabolomics.
First,
12
imputing
values
were
evaluated
PSS
(Procrustes
statistical
shape
analysis)
NRMSE
(normalized
root-mean-square
error)
values.
Second,
17
normalization
by
applying
PMAD
(pooled
median
absolute
deviation)
value.
Third,
different
identifying
markers
metabolomics
CWrel
(relative
weighted
consistency)
Fourth,
nine
classification
constructing
models
assessed
AUC
(area
under
curve)
Performance
evaluations
highly
recommended
select
most
before
performing
final
analysis
Overall,
expected
improve
analyses
