Investigation on epigenomic signature for chronic obstructive pulmonary disease - an in silico approach
Abstract
Chronic
obstructive
pulmonary
disease
is
an
advanced
and
debilitating
respiratory
condition
characterized
by
chronic
inflammation
airflow
constraint.
Despite
its
global
prevalence,
precise
diagnostic
prognostic
biomarkers
remain
unidentified.
This
research
aims
to
identify
potential
epigenomic
for
integrating
DNA
methylation
differential
gene
expression
analyses.
Publicly
available
datasets
were
utilized,
‘R’
programming
was
used
the
analysis
significantly
differentially
methylated
regions,
performed
in
‘R’,
revealing
expressed
genes
associated
with
this
disease.
Functional
enrichment
pathway
analyses
carried
out
using
DAVID
bioinformatics
tool,
Reactome
revealed
key
biological
processes
pathways
involved
pathogenesis.
Additionally,
protein-protein
interaction
networks
constructed
utilizing
a
string
database
recognize
hub
therapeutic
relevance.
Our
work
provides
understanding
of
epigenetic
landscape
disease,
identifying
8
candidate
that
could
aid
as
tools
or
targets.
Gene
ontology
show
mechanism
pathways,
showing
efficiency
biomarker
integrative
approach
not
only
advances
molecular
underpinnings
but
also
paves
way
personalized
treatment
strategies.
Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: May 9, 2025
Language: Английский