npj Imaging,
Journal Year:
2024,
Volume and Issue:
2(1)
Published: July 17, 2024
Abstract
The
recent
upswing
in
the
integration
of
spatial
multi-omics
for
conducting
multidimensional
information
measurements
is
opening
a
new
chapter
biological
research.
Mapping
landscape
various
biomolecules
including
metabolites,
proteins,
nucleic
acids,
etc.,
and
even
deciphering
their
functional
interactions
pathways
believed
to
provide
more
holistic
nuanced
exploration
molecular
intricacies
within
living
systems.
Mass
spectrometry
imaging
(MSI)
stands
as
forefront
technique
spatially
mapping
metabolome,
lipidome,
proteome
diverse
tissue
cell
samples.
In
this
review,
we
offer
systematic
survey
delineating
different
MSI
techniques
resolved
analysis,
elucidating
principles,
capabilities,
limitations.
Particularly,
focus
on
advancements
methodologies
aimed
at
augmenting
sensitivity
specificity
MSI;
depict
burgeoning
MSI-based
metabolomics,
lipidomics,
proteomics,
encompassing
synergy
with
other
modalities.
Furthermore,
speculative
insights
into
potential
trajectory
technology
future.
Environment International,
Journal Year:
2024,
Volume and Issue:
185, P. 108535 - 108535
Published: Feb. 27, 2024
Ultraviolet
(UV)
radiation
is
ubiquitous
in
the
environment,
which
has
been
classified
as
an
established
human
carcinogen.
As
largest
and
outermost
organ
of
body,
direct
exposure
skin
to
sunlight
or
UV
can
result
sunburn,
inflammation,
photo-immunosuppression,
photoaging
even
cancers.
To
date,
there
are
tactics
protect
by
preventing
reducing
amount
skin.
Nevertheless,
deciphering
essential
regulatory
mechanisms
may
pave
way
for
therapeutic
interventions
against
UV-induced
disorders.
Additionally,
light
considered
beneficial
specific
skin-related
conditions
medical
therapy.
Recent
evidence
indicates
that
biological
effects
extend
beyond
include
treatment
inflammatory
diseases,
solid
tumors
certain
abnormal
behaviors.
This
review
mainly
focuses
on
Moreover,
novel
findings
other
organs
systems
also
summarized.
through
affects
organism
remain
be
fully
elucidated
achieve
a
more
comprehensive
understanding
its
effects.
Cells,
Journal Year:
2023,
Volume and Issue:
12(15), P. 1970 - 1970
Published: July 30, 2023
Single-cell
RNA
sequencing
(scRNA-seq)
has
emerged
as
a
powerful
tool
for
investigating
cellular
biology
at
an
unprecedented
resolution,
enabling
the
characterization
of
heterogeneity,
identification
rare
but
significant
cell
types,
and
exploration
cell-cell
communications
interactions.
Its
broad
applications
span
both
basic
clinical
research
domains.
In
this
comprehensive
review,
we
survey
current
landscape
scRNA-seq
analysis
methods
tools,
focusing
on
count
modeling,
cell-type
annotation,
data
integration,
including
spatial
transcriptomics,
inference
communication.
We
review
challenges
encountered
in
analysis,
issues
sparsity
or
low
expression,
reliability
assumptions
discuss
potential
impact
suboptimal
clustering
differential
expression
tools
downstream
analyses,
particularly
identifying
subpopulations.
Finally,
recent
advancements
future
directions
enhancing
analysis.
Specifically,
highlight
development
novel
annotating
single-cell
data,
integrating
interpreting
multimodal
datasets
covering
epigenomics,
proteomics,
inferring
communication
networks.
By
elucidating
latest
progress
innovation,
provide
overview
rapidly
advancing
field
Cell,
Journal Year:
2024,
Volume and Issue:
187(16), P. 4150 - 4175
Published: Aug. 1, 2024
Cellular
senescence
is
a
cell
fate
triggered
in
response
to
stress
and
characterized
by
stable
cell-cycle
arrest
hypersecretory
state.
It
has
diverse
biological
roles,
ranging
from
tissue
repair
chronic
disease.
The
development
of
new
tools
study
vivo
paved
the
way
for
uncovering
its
physiological
pathological
roles
testing
senescent
cells
as
therapeutic
target.
However,
lack
specific
broadly
applicable
markers
makes
it
difficult
identify
characterize
tissues
living
organisms.
To
address
this,
we
provide
practical
guidelines
called
"minimum
information
cellular
experimentation
vivo"
(MICSE).
presents
an
overview
rodent
tissues,
transgenic
models,
non-mammalian
systems,
human
tumors
their
use
identification
specification
cells.
These
uniform,
state-of-the-art,
accessible
toolset
improve
our
understanding
vivo.
Nature Methods,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 20, 2024
Abstract
Spatially
resolved
omics
technologies
are
transforming
our
understanding
of
biological
tissues.
However,
the
handling
uni-
and
multimodal
spatial
datasets
remains
a
challenge
owing
to
large
data
volumes,
heterogeneity
types
lack
flexible,
spatially
aware
structures.
Here
we
introduce
SpatialData,
framework
that
establishes
unified
extensible
multiplatform
file-format,
lazy
representation
larger-than-memory
data,
transformations
alignment
common
coordinate
systems.
SpatialData
facilitates
annotations
cross-modal
aggregation
analysis,
utility
which
is
illustrated
in
context
multiple
vignettes,
including
integrative
analysis
on
Xenium
Visium
breast
cancer
study.
Signal Transduction and Targeted Therapy,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Aug. 7, 2024
Multicellular
organisms
are
composed
of
diverse
cell
types
that
must
coordinate
their
behaviors
through
communication.
Cell-cell
communication
(CCC)
is
essential
for
growth,
development,
differentiation,
tissue
and
organ
formation,
maintenance,
physiological
regulation.
Cells
communicate
direct
contact
or
at
a
distance
using
ligand-receptor
interactions.
So
cellular
encompasses
two
processes:
signal
conduction
generation
intercellular
transmission
signals,
transduction
reception
procession
signals.
Deciphering
networks
critical
understanding
metabolism.
First,
we
comprehensively
review
the
historical
milestones
in
CCC
studies,
followed
by
detailed
description
mechanisms
molecule
importance
main
signaling
pathways
they
mediate
maintaining
biological
functions.
Then
systematically
introduce
series
human
diseases
caused
abnormalities
progress
clinical
applications.
Finally,
summarize
various
methods
monitoring
interactions,
including
imaging,
proximity-based
chemical
labeling,
mechanical
force
analysis,
downstream
analysis
strategies,
single-cell
technologies.
These
aim
to
illustrate
how
functions
depend
on
these
interactions
complexity
regulatory
regulate
crucial
processes,
homeostasis,
immune
responses
diseases.
In
addition,
this
enhances
our
processes
occur
after
cell-cell
binding,
highlighting
its
application
discovering
new
therapeutic
targets
biomarkers
related
precision
medicine.
This
collective
provides
foundation
developing
targeted
drugs
personalized
treatments.
International Journal of Mathematics Statistics and Computer Science,
Journal Year:
2023,
Volume and Issue:
2, P. 114 - 167
Published: Dec. 25, 2023
The
primary
objective
of
this
study
is
to
review
and
assess
the
best
available
research
on
omics-related
artificial
intelligence
(AI)
methods.
Furthermore,
it
seeks
demonstrate
promise
AI
approaches
in
omics
data
analysis
identify
critical
problems
that
must
be
solved
achieve
potential
fully.
There
are
many
moving
parts
when
trying
make
sense
a
plethora
through
literature
review.
Essential
components
include,
for
instance,
clinical
applications
collections.
Other
researchers
have
faced
challenges,
existing
highlights
them.
Using
systematic
strategy,
we
searched
all
relevant
articles
utilizing
multiple
keyword
variations.
We
also
seek
additional
research,
such
as
guidelines,
studies
comparison,
studies.
Challenges
with
AI,
preprocessing,
datasets,
validation
models,
testbed
arose
was
used
analyze
data.
To
solve
these
problems,
several
pertinent
investigations
were
carried
out.
Our
work
offers
unique
insights
into
intersection
model
fields,
setting
apart
from
prior
articles.
anticipate
practitioners
seeking
an
all-encompassing
perspective
using
processing
would
find
study's
findings
invaluable.