Journal of Mass Spectrometry,
Год журнала:
2024,
Номер
59(8)
Опубликована: Июль 17, 2024
Mass
spectrometry
imaging
(MSI)
was
developed
to
visualize
spatial
chemical
information
within
tissues,
thereby
facilitating
multi-omic
analysis.
However,
due
the
limited
provided
by
individual
modal
MSI,
correlating
various
data
tissues
remains
a
significant
challenge.
In
recent
years,
multimodal
MSI
has
garnered
considerable
attention
its
ability
distributions
of
multiple
biomolecules
tissues.
Among
strategies
employed
in
this
field,
on
single
tissue
section
circumvents
issues
introduced
integration
images
consecutive
sections.
minireview,
we
provide
an
overview
section,
with
particular
focus
use
Matrix-Assisted
Laser
Desorption/Ionization-MSI
for
investigations
that
offer
comprehensive
and
in-depth
elucidation
biological
state
activities,
aiming
inspire
development
new
approaches
field.
Journal of Pharmaceutical Analysis,
Год журнала:
2023,
Номер
13(8), С. 836 - 850
Опубликована: Июль 1, 2023
Bioinformatic
analysis
of
large
and
complex
omics
datasets
has
become
increasingly
useful
in
modern
day
biology
by
providing
a
great
depth
information,
with
its
application
to
neuroscience
termed
neuroinformatics.
Data
mining
enabled
the
generation
new
hypotheses
based
on
differentially
regulated
biological
molecules
associated
disease
mechanisms,
which
can
be
tested
experimentally
for
improved
diagnostic
therapeutic
targeting
neurodegenerative
diseases.
Importantly,
integrating
multi-omics
data
using
systems
bioinformatics
approach
will
advance
understanding
layered
interactive
network
regulation
that
exchanges
systemic
knowledge
facilitate
development
comprehensive
human
brain
profile.
In
this
review,
we
first
summarize
studies
utilizing
from
individual
type
analysis,
including
epigenetics/epigenomics,
transcriptomics,
proteomics,
metabolomics,
lipidomics,
spatial
omics,
pertaining
Alzheimer's
disease,
Parkinson's
multiple
sclerosis.
We
then
discuss
integration
approaches,
independent
unsupervised
methods,
more
intuitive
informative
interpretation
obtained
across
different
layers.
further
assess
integrate
provide
convoluted
insights
offer
proof-of-concept
proposition
towards
reconstruction
networks.
Finally,
recommend
combination
high
dimensional
experimental
validation
achieve
translational
applications
biomarker
discovery,
development,
elucidation
mechanisms.
conclude
future
perspectives
opportunities
applying
integrative
precision
phenotyping
diseases
personalized
medicine.
Military Medical Research,
Год журнала:
2024,
Номер
11(1)
Опубликована: Май 27, 2024
Abstract
Aging
and
regeneration
represent
complex
biological
phenomena
that
have
long
captivated
the
scientific
community.
To
fully
comprehend
these
processes,
it
is
essential
to
investigate
molecular
dynamics
through
a
lens
encompasses
both
spatial
temporal
dimensions.
Conventional
omics
methodologies,
such
as
genomics
transcriptomics,
been
instrumental
in
identifying
critical
facets
of
aging
regeneration.
However,
methods
are
somewhat
limited,
constrained
by
their
resolution
lack
capacity
dynamically
tissue
alterations.
The
advent
emerging
spatiotemporal
multi-omics
approaches,
encompassing
proteomics,
metabolomics,
epigenomics,
furnishes
comprehensive
insights
into
intricate
dynamics.
These
sophisticated
techniques
facilitate
accurate
delineation
patterns
across
an
array
cells,
tissues,
organs,
thereby
offering
in-depth
understanding
fundamental
mechanisms
at
play.
This
review
meticulously
examines
significance
realms
research.
It
underscores
how
methodologies
augment
our
comprehension
dynamics,
cellular
interactions,
signaling
pathways.
Initially,
delineates
foundational
principles
underpinning
methods,
followed
evaluation
recent
applications
within
field.
ultimately
concludes
addressing
prevailing
challenges
projecting
future
advancements
Indubitably,
deciphering
complexities
inherent
regeneration,
thus
charting
course
toward
potential
therapeutic
innovations.
Neurobiology of Disease,
Год журнала:
2024,
Номер
199, С. 106597 - 106597
Опубликована: Июль 9, 2024
Pediatric
low
grade
brain
tumors
and
neurodevelopmental
disorders
share
proteins,
signaling
pathways,
networks.
They
also
germline
mutations
an
impaired
prenatal
differentiation
origin.
may
differ
in
the
timing
of
events
proliferation.
We
suggest
that
their
pivotal
distinct,
albeit
partially
overlapping,
outcomes
relate
to
cell
states,
which
depend
on
spatial
location,
gene
expression
during
development.
These
attributes
are
crucial
as
develops
sequentially,
single-cell
organization
influences
state,
thus
function.
Our
underlying
premise
is
root
cause
pediatric
differentiation.
Data
related
tumors,
disorders,
(sub)types,
locations,
developing
scant.
However,
emerging
single
technologies,
including
transcriptomic,
biology,
high-resolution
imaging
performed
over
developmental
time,
could
be
transformational
deciphering
pathologies
thereby
pharmacology.
Abstract
Mammalian
organs
and
tissues
are
composed
of
heterogeneously
distributed
cells,
which
interact
with
each
other
the
extracellular
matrix
surrounding
them
in
a
spatially
defined
way.
Therefore,
resolved
gene
expression
profiling
is
crucial
for
determining
function
phenotypes
these
cells.
While
genome
mutations
transcriptome
alterations
act
as
drivers
diseases,
proteins
that
they
encode
regulate
essentially
all
biological
functions
constitute
majority
biomarkers
drug
targets
disease
diagnostics
treatment.
However,
unlike
transcriptomics,
has
recent
explosion
high-throughput
spatial
technologies
deep
coverage,
proteomics
capable
reaching
bulk
tissue-level
coverage
still
rare
field,
due
to
non-amplifiable
nature
sensitivity
limitation
mass
spectrometry
(MS).
More
importantly,
limited
multiplexing
capability
current
methods,
whole-tissue
slice
mapping
high
resolution
requires
formidable
amount
MS
matching
time.
To
achieve
resolved,
deeply
covered
proteome
centimeter-sized
samples,
we
developed
s
parse
ampling
trategy
patial
p
roteomics
(S4P)
using
computationally
assisted
image
reconstruction
potentially
reducing
number
samples
by
tens
thousands
times
depending
on
resolution.
In
this
way,
generated
largest
date,
more
than
9000
mouse
brain,
discovered
potential
new
regional
or
cell
type
markers.
Considering
its
advantage
throughput,
expect
S4P
strategy
will
be
applicable
wide
range
future
studies.
