Journal of Hematology & Oncology,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Aug. 24, 2024
The
emergence
of
spatial
multi-omics
has
helped
address
the
limitations
single-cell
sequencing,
which
often
leads
to
loss
context
among
cell
populations.
Integrated
analysis
genome,
transcriptome,
proteome,
metabolome,
and
epigenome
enhanced
our
understanding
biology
molecular
basis
human
diseases.
Moreover,
this
approach
offers
profound
insights
into
interactions
between
intracellular
intercellular
mechanisms
involved
in
development,
physiology,
pathogenesis
In
comprehensive
review,
we
examine
current
advancements
technologies,
focusing
on
their
evolution
refinement
over
past
decade,
including
improvements
throughput
resolution,
modality
integration,
accuracy.
We
also
discuss
pivotal
contributions
revealing
heterogeneity,
constructing
detailed
atlases,
deciphering
crosstalk
tumor
immunology,
advancing
translational
research
cancer
therapy
through
precise
mapping.
Science,
Journal Year:
2023,
Volume and Issue:
381(6657)
Published: Aug. 3, 2023
Spatial
omics
has
been
widely
heralded
as
the
new
frontier
in
life
sciences.
This
term
encompasses
a
wide
range
of
techniques
that
promise
to
transform
many
areas
biology
and
eventually
revolutionize
pathology
by
measuring
physical
tissue
structure
molecular
characteristics
at
same
time.
Although
field
came
age
past
5
years,
it
still
suffers
from
some
growing
pains:
barriers
entry,
robustness,
unclear
best
practices
for
experimental
design
analysis,
lack
standardization.
In
this
Review,
we
present
systematic
catalog
different
families
spatial
technologies;
highlight
their
principles,
power,
limitations;
give
perspective
suggestions
on
biggest
challenges
lay
ahead
incredibly
powerful-but
hard
navigate-landscape.
Nature,
Journal Year:
2023,
Volume and Issue:
616(7955), P. 113 - 122
Published: March 15, 2023
Abstract
Emerging
spatial
technologies,
including
transcriptomics
and
epigenomics,
are
becoming
powerful
tools
for
profiling
of
cellular
states
in
the
tissue
context
1–5
.
However,
current
methods
capture
only
one
layer
omics
information
at
a
time,
precluding
possibility
examining
mechanistic
relationship
across
central
dogma
molecular
biology.
Here,
we
present
two
technologies
spatially
resolved,
genome-wide,
joint
epigenome
transcriptome
by
cosequencing
chromatin
accessibility
gene
expression,
or
histone
modifications
(H3K27me3,
H3K27ac
H3K4me3)
expression
on
same
section
near-single-cell
resolution.
These
were
applied
to
embryonic
juvenile
mouse
brain,
as
well
adult
human
map
how
epigenetic
mechanisms
control
transcriptional
phenotype
cell
dynamics
tissue.
Although
highly
concordant
features
identified
either
also
observed
distinct
patterns,
suggesting
their
differential
roles
defining
states.
Linking
pixel
allows
uncovering
new
insights
priming,
differentiation
regulation
within
architecture.
great
interest
life
science
biomedical
research.
Nature,
Journal Year:
2023,
Volume and Issue:
625(7993), P. 101 - 109
Published: Dec. 13, 2023
Abstract
Recent
technological
innovations
have
enabled
the
high-throughput
quantification
of
gene
expression
and
epigenetic
regulation
within
individual
cells,
transforming
our
understanding
how
complex
tissues
are
constructed
1–6
.
However,
missing
from
these
measurements
is
ability
to
routinely
easily
spatially
localize
profiled
cells.
We
developed
a
strategy,
Slide-tags,
in
which
single
nuclei
an
intact
tissue
section
tagged
with
spatial
barcode
oligonucleotides
derived
DNA-barcoded
beads
known
positions.
These
can
then
be
used
as
input
into
wide
variety
single-nucleus
profiling
assays.
Application
Slide-tags
mouse
hippocampus
positioned
at
less
than
10
μm
resolution
delivered
whole-transcriptome
data
that
indistinguishable
quality
ordinary
RNA-sequencing
data.
To
demonstrate
applied
human
tissues,
we
performed
assay
on
brain,
tonsil
melanoma.
revealed
cell-type-specific
varying
across
cortical
layers
contextualized
receptor–ligand
interactions
driving
B
cell
maturation
lymphoid
tissue.
A
major
benefit
it
adaptable
almost
any
single-cell
measurement
technology.
As
proof
principle,
multiomic
open
chromatin,
RNA
T
receptor
(TCR)
sequences
same
cells
metastatic
melanoma,
identifying
transcription
factor
motifs
cancer
state
transitions
distinct
microenvironments.
offers
universal
platform
for
importing
compendium
established
genomics
repertoire.
Nature Methods,
Journal Year:
2023,
Volume and Issue:
20(10), P. 1530 - 1536
Published: Oct. 1, 2023
Single-cell
proteomics
by
mass
spectrometry
is
emerging
as
a
powerful
and
unbiased
method
for
the
characterization
of
biological
heterogeneity.
So
far,
it
has
been
limited
to
cultured
cells,
whereas
an
expansion
complex
tissues
would
greatly
enhance
insights.
Here
we
describe
single-cell
Deep
Visual
Proteomics
(scDVP),
technology
that
integrates
high-content
imaging,
laser
microdissection
multiplexed
spectrometry.
scDVP
resolves
context-dependent,
spatial
proteome
murine
hepatocytes
at
current
depth
1,700
proteins
from
cell
slice.
Half
was
differentially
regulated
in
manner,
with
protein
levels
changing
dramatically
proximity
central
vein.
We
applied
machine
learning
classes
images,
which
subsequently
inferred
imaging
data
alone.
applicable
healthy
diseased
complements
other
omics
technologies.
Signal Transduction and Targeted Therapy,
Journal Year:
2023,
Volume and Issue:
8(1)
Published: Aug. 30, 2023
Major
depressive
disorder
(MDD)
is
a
chronic,
generally
episodic
and
debilitating
disease
that
affects
an
estimated
300
million
people
worldwide,
but
its
pathogenesis
poorly
understood.
The
heritability
estimate
of
MDD
30-40%,
suggesting
genetics
alone
do
not
account
for
most
the
risk
major
depression.
Another
factor
known
to
associate
with
involves
environmental
stressors
such
as
childhood
adversity
recent
life
stress.
Recent
studies
have
emerged
show
biological
impact
factors
in
other
stress-related
disorders
mediated
by
variety
epigenetic
modifications.
These
modification
alterations
contribute
abnormal
neuroendocrine
responses,
neuroplasticity
impairment,
neurotransmission
neuroglia
dysfunction,
which
are
involved
pathophysiology
MDD.
Furthermore,
marks
been
associated
diagnosis
treatment
evaluation
modifications
holds
promise
further
understanding
heterogeneous
etiology
complex
phenotypes
MDD,
may
identify
new
therapeutic
targets.
Here,
we
review
preclinical
clinical
findings,
including
DNA
methylation,
histone
modification,
noncoding
RNA,
RNA
chromatin
remodeling
In
addition,
elaborate
on
contribution
these
mechanisms
pathological
trait
variability
depression
discuss
how
can
be
exploited
purposes.