Cartilage,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 21, 2025
Objective
This
study
aimed
to
identify
genes
and
signaling
pathways
associated
with
acute
cartilage
injury
using
RNA
sequencing
(RNA-seq).
Methods
Knee
joint
samples
were
collected
from
normal
mice
2
models
of
(non-invasive
groove
models)
within
an
8-hour
time
limit.
RNA-seq
revealed
differential
gene
expression
between
the
controls,
subsequent
validation
real-time
quantitative
polymerase
chain
reaction
(RT-qPCR)
for
9
representative
genes.
Results
Compared
non-invasive
model
showed
36
differentially
expressed
(DEGs)
(13
up-regulated,
23
down-regulated),
Gm14648
Gm35438
showing
most
significant
upregulation
downregulation,
respectively.
The
exhibited
255
DEGs
(222
33
down-regulated).
Six
overlapping
identified
models,
including
up-regulated
(
Igfn1,
Muc6,
Hmox1
)
down-regulated
Pthlh,
Cyp1a1,
Gm13490
),
validated
by
RT-qPCR.
Gene
ontology
(GO)
analysis
highlighted
involvement
in
environmental
information
processing
organ
system
function,
while
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
implicated
JAK-STAT
pathway.
RT-qPCR
immunohistochemistry
confirmed
downregulation
Fhl1
model,
supported
Western
blotting
p-JAK2/t-JAK2
levels.
Conclusions
identifies
injury,
suggesting
potential
therapeutic
targets.
role
protection
via
pathway
warrants
further
investigation
research.
Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 5, 2025
Single-cell
RNA
sequencing
(scRNA-seq)
has
unveiled
extensive
cellular
heterogeneity,
yet
precise
cell
type
annotation
and
the
identification
of
novel
populations
remain
significant
challenges.
scHeteroNet,
a
graph
neural
network
framework
specifically
designed
to
leverage
heterophily
in
scRNA-seq
data,
is
presented.
Unlike
traditional
methods
that
assume
homophily,
scHeteroNet
captures
complex
cell-cell
interactions
by
integrating
information
from
both
immediate
extended
neighborhoods,
resulting
highly
accurate
representations.
Additionally,
incorporates
an
innovative
novelty
propagation
mechanism
robustly
detects
previously
uncharacterized
types.
Comprehensive
evaluations
across
diverse
datasets
demonstrate
consistently
outperforms
state-of-the-art
approaches
classification
detection.
This
heterophily-aware
approach
enhances
ability
uncover
diversity,
providing
deeper
insights
into
biological
systems
advancing
field
single-cell
analysis.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 10, 2025
We
determined
the
relationship
between
ferroptosis
and
immune
cells
in
ankylosing
spondylitis
role
of
Chinese
herbal
medicine
Cassia
twigs
treating
spondylitis.
analyzed
clinical
data
on
spondylitis,
transcriptome
data,
single-cell
sequencing
genes
related
to
twigs.
Clinical
variables
AS
were
selected
through
logistic
regression
analysis
combined
with
machine
learning.
GSEA
enrichment
performed
ferroptosis,
drug-related
genes,
identify
key
drug
targets
AS,
as
well
as,
cells.
Then,
cell
subtypes
analyzed.
Finally,
interconnections
intercellular
communication.
Five
variables,
including
neutrophils,
screened
for
analysis.
The
AUC
experimental
group
was
0.859
that
validation
0.807.
Ferroptosis
gene
NFE2L2
identified
final
target
AS;
it
upregulated
downregulated
control
by
immunohistochemical
verification,
both
which
statistically
significant
(P
<
0.001).
Neutrophils
divided
into
two
subgroups:
high
expression
low
NFE2L2.
Through
molecular
docking,
found
effectively
act
important
AS.
herb
can
treat
acting
protein
structure
Cartilage,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 21, 2025
Objective
This
study
aimed
to
identify
genes
and
signaling
pathways
associated
with
acute
cartilage
injury
using
RNA
sequencing
(RNA-seq).
Methods
Knee
joint
samples
were
collected
from
normal
mice
2
models
of
(non-invasive
groove
models)
within
an
8-hour
time
limit.
RNA-seq
revealed
differential
gene
expression
between
the
controls,
subsequent
validation
real-time
quantitative
polymerase
chain
reaction
(RT-qPCR)
for
9
representative
genes.
Results
Compared
non-invasive
model
showed
36
differentially
expressed
(DEGs)
(13
up-regulated,
23
down-regulated),
Gm14648
Gm35438
showing
most
significant
upregulation
downregulation,
respectively.
The
exhibited
255
DEGs
(222
33
down-regulated).
Six
overlapping
identified
models,
including
up-regulated
(
Igfn1,
Muc6,
Hmox1
)
down-regulated
Pthlh,
Cyp1a1,
Gm13490
),
validated
by
RT-qPCR.
Gene
ontology
(GO)
analysis
highlighted
involvement
in
environmental
information
processing
organ
system
function,
while
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
implicated
JAK-STAT
pathway.
RT-qPCR
immunohistochemistry
confirmed
downregulation
Fhl1
model,
supported
Western
blotting
p-JAK2/t-JAK2
levels.
Conclusions
identifies
injury,
suggesting
potential
therapeutic
targets.
role
protection
via
pathway
warrants
further
investigation
research.