bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 5, 2023
Abstract
Sepsis
is
the
leading
systemic
inflammatory
response
syndrome
in
worldwide,
yet
relatively
little
known
about
genes
and
signaling
pathways
involved
sepsis
progression.
The
current
investigation
aimed
to
elucidate
potential
key
candidate
its
associated
complications.
Next
generation
sequencing
(NGS)
dataset
(GSE185263)
was
downloaded
from
Gene
Expression
Omnibus
(GEO)
database,
which
included
data
348
samples
44
normal
control
samples.
Differentially
expressed
(DEGs)
were
identified
using
t-tests
DESeq2
R
package.
Next,
we
made
use
of
g:Profiler
analyze
gene
ontology
(GO)
REACTOME
pathway.
Then
protein-protein
interaction
(PPI)
these
DEGs
visualized
by
Cytoscape
with
Search
Tool
for
Retrieval
Interacting
Genes
(STRING).
Furthermore,
constructed
miRNA-hub
regulatory
network
TF-hub
among
hub
utilizing
miRNet
NetworkAnalyst
online
databases
tool
software.
Finally,
performed
receiver
operating
characteristic
(ROC)
curve
analysis
through
pROC
package
statistical
In
total,
958
identified,
479
up
regulated
down
regulated.
GO
results
showed
that
mainly
enriched
regulation
cellular
process,
stimulus,
extracellular
matrix
organization
immune
system.
PRKN,
KIT,
FGFR2,
GATA3,
ERBB3,
CDK1,
PPARG,
H2BC5,
H4C4
CDC20
might
be
Predicted
miRNAs
(e.g.,
hsa-mir-548ad-5p
hsa-mir-2113)
TFs
YAP1
TBX5)
found
significantly
correlated
conclusion,
DEGs,
relative
pathways,
genes,
miRNA
help
understanding
molecular
mechanisms
underlying
complications
progression
provide
targets
biomarkers
ONCOLOGIE,
Journal Year:
2024,
Volume and Issue:
26(3), P. 445 - 455
Published: April 4, 2024
Abstract
Objectives
Colorectal
cancer
(CRC)
is
a
global
challenge,
and
heat
shock
protein
90
(HSP90)
identified
as
key
driver
in
progression.
However,
the
tumor-promoting
mechanism
of
HSP90
CRC,
particularly
HSP90AB1,
remains
unclear.
This
study
aims
to
explore
analyze
oncogenic
HSP90AB1
CRC
identify
potential
therapeutic
targets.
Materials
methods
expression
underwent
analysis
cell
lines
tissues
at
mRNA
levels.
Through
use
shRNA,
targeted
suppression
was
achieved
lines,
enabling
its
influence
on
proliferation,
invasion,
apoptosis,
cycle
Subsequent
investigation
focused
elucidating
regulatory
relationship
between
IDO1,
employing
combination
bioinformatics
approaches
vitro
/vivo
experiments.
These
efforts
confirmed
IDO1
downstream
target
provided
insight
into
role
driving
Results
exhibits
overexpression
both
tumor
(p<0.05).
Its
downregulation
impedes
proliferation
invasion
(p<0.01),
promotes
apoptosis
arrest
Investigation
reveals
that
decreased
leads
inhibition
suggesting
regulation
plays
crucial
mediating
pro-tumorigenic
effects
HSP90AB1.
In
vivo
experiments
confirm
substantial
reduction
growth
upon
knockdown
xenograft
models
(p<0.01).
this
tumor-suppressive
effect
reversed
highlighting
Conclusions
exerts
progression
by
upregulating
IDO1.
World Journal of Diabetes,
Journal Year:
2024,
Volume and Issue:
15(4), P. 654 - 663
Published: April 11, 2024
Neovascular
glaucoma
(NVG)
is
likely
to
occur
after
pars
plana
vitrectomy
(PPV)
for
diabetic
retinopathy
(DR)
in
some
patients,
thus
reducing
the
expected
benefit.
Understanding
risk
factors
NVG
occurrence
and
building
effective
prediction
models
are
currently
required
clinical
research.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 5, 2023
Abstract
Sepsis
is
the
leading
systemic
inflammatory
response
syndrome
in
worldwide,
yet
relatively
little
known
about
genes
and
signaling
pathways
involved
sepsis
progression.
The
current
investigation
aimed
to
elucidate
potential
key
candidate
its
associated
complications.
Next
generation
sequencing
(NGS)
dataset
(GSE185263)
was
downloaded
from
Gene
Expression
Omnibus
(GEO)
database,
which
included
data
348
samples
44
normal
control
samples.
Differentially
expressed
(DEGs)
were
identified
using
t-tests
DESeq2
R
package.
Next,
we
made
use
of
g:Profiler
analyze
gene
ontology
(GO)
REACTOME
pathway.
Then
protein-protein
interaction
(PPI)
these
DEGs
visualized
by
Cytoscape
with
Search
Tool
for
Retrieval
Interacting
Genes
(STRING).
Furthermore,
constructed
miRNA-hub
regulatory
network
TF-hub
among
hub
utilizing
miRNet
NetworkAnalyst
online
databases
tool
software.
Finally,
performed
receiver
operating
characteristic
(ROC)
curve
analysis
through
pROC
package
statistical
In
total,
958
identified,
479
up
regulated
down
regulated.
GO
results
showed
that
mainly
enriched
regulation
cellular
process,
stimulus,
extracellular
matrix
organization
immune
system.
PRKN,
KIT,
FGFR2,
GATA3,
ERBB3,
CDK1,
PPARG,
H2BC5,
H4C4
CDC20
might
be
Predicted
miRNAs
(e.g.,
hsa-mir-548ad-5p
hsa-mir-2113)
TFs
YAP1
TBX5)
found
significantly
correlated
conclusion,
DEGs,
relative
pathways,
genes,
miRNA
help
understanding
molecular
mechanisms
underlying
complications
progression
provide
targets
biomarkers