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.
Signal Transduction and Targeted Therapy,
Год журнала:
2024,
Номер
9(1)
Опубликована: Авг. 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.
Abstract
Tumor-associated
macrophages
(TAMs)
are
pivotal
in
cancer
progression,
influencing
tumor
growth,
angiogenesis,
and
immune
evasion.
This
review
explores
the
spatial
temporal
heterogeneity
of
TAMs
within
microenvironment
(TME),
highlighting
their
diverse
subtypes,
origins,
functions.
Advanced
technologies
such
as
single-cell
sequencing
multi-omics
have
elucidated
intricate
interactions
between
other
TME
components,
revealing
mechanisms
behind
recruitment,
polarization,
distribution.
Key
findings
demonstrate
that
support
vascularization,
promote
epithelial-mesenchymal
transition
(EMT),
modulate
extracellular
matrix
(ECM)
remodeling,
etc.,
thereby
enhancing
invasiveness
metastasis.
Understanding
these
complex
dynamics
offers
new
therapeutic
targets
for
disrupting
TAM-mediated
pathways
overcoming
drug
resistance.
underscores
potential
targeting
to
develop
innovative
therapies,
emphasizing
need
further
research
into
characteristics
functional
roles
TME.
Biomarker Research,
Год журнала:
2024,
Номер
12(1)
Опубликована: Сен. 27, 2024
Abstract
Cells,
as
the
fundamental
units
of
life,
contain
multidimensional
spatiotemporal
information.
Single-cell
RNA
sequencing
(scRNA-seq)
is
revolutionizing
biomedical
science
by
analyzing
cellular
state
and
intercellular
heterogeneity.
Undoubtedly,
single-cell
transcriptomics
has
emerged
one
most
vibrant
research
fields
today.
With
optimization
innovation
technologies,
intricate
details
concealed
within
cells
are
gradually
unveiled.
The
combination
scRNA-seq
other
multi-omics
at
forefront
field.
This
involves
simultaneously
measuring
various
omics
data
individual
cells,
expanding
our
understanding
across
a
broader
spectrum
dimensions.
precisely
captures
aspects
transcriptomes,
immune
repertoire,
spatial
information,
temporal
epitopes,
in
diverse
contexts.
In
addition
to
depicting
cell
atlas
normal
or
diseased
tissues,
it
also
provides
cornerstone
for
studying
differentiation
development
patterns,
disease
heterogeneity,
drug
resistance
mechanisms,
treatment
strategies.
Herein,
we
review
traditional
technologies
outline
latest
advancements
multi-omics.
We
summarize
current
status
challenges
applying
biological
clinical
applications.
Finally,
discuss
limitations
potential
strategies
address
them.
Cell,
Год журнала:
2024,
Номер
187(3), С. 545 - 562
Опубликована: Фев. 1, 2024
Determining
the
structure
and
mechanisms
of
all
individual
functional
modules
cells
at
high
molecular
detail
has
often
been
seen
as
equal
to
understanding
how
work.
Recent
technical
advances
have
led
a
flush
high-resolution
structures
various
macromolecular
machines,
but
despite
this
wealth
detailed
information,
our
cellular
function
remains
incomplete.
Here,
we
discuss
present-day
limitations
structural
biology
highlight
novel
technologies
that
may
enable
us
analyze
functions
directly
inside
cells.
We
predict
progression
toward
cell
will
involve
shift
conceptualizing
4D
virtual
reality
using
digital
twins.
These
capture
segments
in
highly
enriched
detail,
include
dynamic
changes,
facilitate
simulations
processes,
leading
experimentally
testable
predictions.
Transferring
biological
questions
into
algorithms
learn
from
existing
data
explore
solutions
ultimately
unveil
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.
