Cancer Discovery,
Год журнала:
2024,
Номер
14(4), С. 625 - 629
Опубликована: Апрель 4, 2024
Summary:
The
transition
from
2D
to
3D
spatial
profiling
marks
a
revolutionary
era
in
cancer
research,
offering
unprecedented
potential
enhance
diagnosis
and
treatment.
This
commentary
outlines
the
experimental
computational
advancements
challenges
molecular
profiling,
underscoring
innovation
needed
imaging
tools,
software,
artificial
intelligence,
machine
learning
overcome
implementation
hurdles
harness
full
of
analysis
field.
The Plant Journal,
Год журнала:
2024,
Номер
119(5), С. 2168 - 2180
Опубликована: Июль 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.
Cancer Discovery,
Год журнала:
2024,
Номер
14(4), С. 625 - 629
Опубликована: Апрель 4, 2024
Summary:
The
transition
from
2D
to
3D
spatial
profiling
marks
a
revolutionary
era
in
cancer
research,
offering
unprecedented
potential
enhance
diagnosis
and
treatment.
This
commentary
outlines
the
experimental
computational
advancements
challenges
molecular
profiling,
underscoring
innovation
needed
imaging
tools,
software,
artificial
intelligence,
machine
learning
overcome
implementation
hurdles
harness
full
of
analysis
field.
