Neural Regeneration Research,
Journal Year:
2024,
Volume and Issue:
20(6), P. 1525 - 1540
Published: July 10, 2024
Elucidating
the
complex
dynamic
cellular
organization
in
hypothalamus
is
critical
for
understanding
its
role
coordinating
fundamental
body
functions.
Over
past
decade,
single-cell
and
spatial
omics
technologies
have
significantly
evolved,
overcoming
initial
technical
challenges
capturing
analyzing
individual
cells.
These
high-throughput
now
offer
a
remarkable
opportunity
to
comprehend
spatiotemporal
patterns
of
transcriptional
diversity
cell-type
characteristics
across
entire
hypothalamus.
Current
single-nucleus
RNA
sequencing
methods
comprehensively
quantify
gene
expression
by
exploring
distinct
phenotypes
various
subregions
However,
single-cell/single-nucleus
requires
isolating
cell/nuclei
from
tissue,
potentially
resulting
loss
information
concerning
neuronal
networks.
Spatial
transcriptomics
methods,
bypassing
cell
dissociation,
can
elucidate
intricate
neural
networks
through
their
imaging
technologies.
In
this
review,
we
highlight
applicative
value
molecular-genetic
hypothalamic
types,
driven
recent
achievements.
World Journal of Gastrointestinal Oncology,
Journal Year:
2023,
Volume and Issue:
15(7), P. 1215 - 1226
Published: July 11, 2023
Single-cell
sequencing
technology
provides
the
capability
to
analyze
changes
in
specific
cell
types
during
progression
of
disease.
However,
previous
single-cell
studies
on
gastric
cancer
(GC)
have
largely
focused
immune
cells
and
stromal
cells,
further
elucidation
is
required
regarding
alterations
that
occur
epithelial
development
GC.To
create
a
GC
prediction
model
based
bulk
RNA
(bulk
RNA-seq)
data.In
this
study,
we
conducted
comprehensive
analysis
by
integrating
three
(scRNA-seq)
datasets
ten
RNA-seq
datasets.
Our
mainly
determining
proportions
identifying
differentially
expressed
genes
(DEGs).
Specifically,
performed
differential
expression
among
tissues
normal
(NAGs)
utilized
both
data
establish
for
GC.
We
validated
accuracy
data.
also
used
Kaplan-Meier
plots
verify
correlation
between
prognosis
GC.By
analyzing
scRNA-seq
from
total
70707
tissue,
NAG,
chronic
10
were
identified,
DEGs
screened.
After
samples
identified
data,
predictive
classifier
was
constructed
using
Least
absolute
shrinkage
selection
operator
(LASSO)
random
forest
methods.
The
LASSO
showed
good
performance
validation
verification
Cancer
Genome
Atlas
Genotype-Tissue
Expression
(GTEx)
[area
under
curve
(AUC)_min
=
0.988,
AUC_1se
0.994],
achieved
results
with
set
(AUC
0.92).
Genes
TIMP1,
PLOD3,
CKS2,
TYMP,
TNFRSF10B,
CPNE1,
GDF15,
BCAP31,
CLDN7
high
importance
values
multiple
models,
KM-PLOTTER
their
relevance
prognosis,
suggesting
potential
use
diagnosis
treatment.A
established
it
are
expected
serve
as
auxiliary
markers
clinical
Taiwan Journal of Ophthalmology,
Journal Year:
2023,
Volume and Issue:
14(4), P. 554 - 564
Published: Oct. 20, 2023
Abstract
Thyroid
eye
disease
(TED)
is
a
poorly
understood
autoimmune
condition
affecting
the
retroorbital
tissue.
Tissue
inflammation,
expansion,
and
fibrosis
can
potentially
lead
to
debilitating
sequelae
such
as
vision
loss,
painful
movement,
proptosis,
eyelid
retraction.
Current
treatment
modalities
for
TED
include
systemic
glucocorticoids,
thioamides,
methimazole,
teprotumumab,
beta-blockers,
radioactive
iodine;
however,
it
has
been
reported
that
up
10%–20%
of
patients
relapse
after
withdrawal
20%–30%
are
unresponsive
mainstay
therapy
reasons
have
yet
be
more
clearly
elucidated.
In
past
4
years,
researchers
harnessed
high-throughput
single-cell
RNA
sequencing
elucidate
diversity
cell
types
molecular
mechanisms
driving
pathogenesis
at
resolution.
Such
studies
provided
unprecedented
insight
regarding
novel
biomarkers
therapeutic
targets
in
TED.
This
timely
review
summarizes
recent
breakthroughs
emerging
opportunities
using
single-nuclei
transcriptomic
data
characterize
this
highly
complex
state.
We
also
provide
an
overview
current
challenges
future
applications
technology
improve
patient
quality
life
facilitate
reversal
endpoints.
Journal of Visualized Experiments,
Journal Year:
2024,
Volume and Issue:
205
Published: March 15, 2024
Induced
pluripotent
stem
cell
(iPSC)-based
models
are
excellent
platforms
to
understand
blood
development,
and
iPSC-derived
cells
have
translational
utility
as
clinical
testing
reagents
transfusable
therapeutics.
The
advent
expansion
of
multiomics
analysis,
including
but
not
limited
single
nucleus
RNA
sequencing
(snRNAseq)
Assay
for
Transposase-Accessible
Chromatin
(snATACseq),
offers
the
potential
revolutionize
our
understanding
development.
This
includes
developmental
biology
using
in
vitro
hematopoietic
models.
However,
it
can
be
technically
challenging
isolate
intact
nuclei
from
cultured
or
primary
cells.
Different
types
often
require
tailored
nuclear
preparations
depending
on
cellular
rigidity
content.
These
technical
difficulties
limit
data
quality
act
a
barrier
investigators
interested
pursuing
studies.
Specimen
cryopreservation
is
necessary
due
limitations
with
collection
and/or
processing,
frozen
samples
present
additional
challenges
isolation.
In
this
manuscript,
we
provide
detailed
method
high-quality
at
different
stages
development
use
single-nucleus
workflows.
We
focused
isolation
adherent
stromal/endothelial
non-adherent
progenitor
cells,
these
represent
very
regard
structural
identity.
described
troubleshooting
steps
clumping
debris,
allowing
recovery
sufficient
quantity
downstream
analyses.
Similar
methods
may
adapted
other
cryopreserved
types.
Neural Regeneration Research,
Journal Year:
2024,
Volume and Issue:
20(6), P. 1525 - 1540
Published: July 10, 2024
Elucidating
the
complex
dynamic
cellular
organization
in
hypothalamus
is
critical
for
understanding
its
role
coordinating
fundamental
body
functions.
Over
past
decade,
single-cell
and
spatial
omics
technologies
have
significantly
evolved,
overcoming
initial
technical
challenges
capturing
analyzing
individual
cells.
These
high-throughput
now
offer
a
remarkable
opportunity
to
comprehend
spatiotemporal
patterns
of
transcriptional
diversity
cell-type
characteristics
across
entire
hypothalamus.
Current
single-nucleus
RNA
sequencing
methods
comprehensively
quantify
gene
expression
by
exploring
distinct
phenotypes
various
subregions
However,
single-cell/single-nucleus
requires
isolating
cell/nuclei
from
tissue,
potentially
resulting
loss
information
concerning
neuronal
networks.
Spatial
transcriptomics
methods,
bypassing
cell
dissociation,
can
elucidate
intricate
neural
networks
through
their
imaging
technologies.
In
this
review,
we
highlight
applicative
value
molecular-genetic
hypothalamic
types,
driven
recent
achievements.