Delving Into lncRNA‐Mediated Regulation of Autophagy‐Associated Signaling Pathways in the Context of Breast Cancer
Cell Biology International,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 28, 2025
Breast
cancer
is
a
multifaceted
and
prevalent
malignancy,
impacting
considerable
proportion
of
women
globally.
Numerous
signaling
pathways
intricately
regulate
cellular
functions
such
as
growth,
proliferation,
survival.
Among
the
various
regulators,
lncRNAs
have
emerged
significant
players
despite
their
inability
to
encode
proteins.
An
expanding
body
literature
underscores
pivotal
roles
play
in
biology,
particularly
context
breast
cancer.
Autophagy,
process
dedicated
degradation
recycling
components,
now
recognized
crucial
factor
initiation
progression.
The
interplay
between
lncRNAs,
pathways,
autophagy
pathophysiology
remains
an
active
area
investigation.
Researchers
identified
specific
that
are
dysregulated
patients,
influencing
modulation
key
pathways.
Using
experimental
methodologies
bioinformatics
approaches,
multiple
been
elucidated,
providing
deeper
insights
into
contributions
pathogenesis
metastatic
processes.
In
summary,
pathophysiological
landscape
characterized
by
complex
interactions
involving
lncRNA-mediated
autophagy.
This
understanding
paves
way
for
identifying
novel
therapeutic
targets,
prognostic
markers,
diagnostic
ultimately
contributing
improved
treatment
outcomes
management.
Language: Английский
Single-Cell Transcriptomic Approaches for Decoding Non-Coding RNA Mechanisms in Colorectal Cancer
Non-Coding RNA,
Journal Year:
2025,
Volume and Issue:
11(2), P. 24 - 24
Published: March 10, 2025
Non-coding
RNAs
(ncRNAs)
play
crucial
roles
in
colorectal
cancer
(CRC)
development
and
progression.
Recent
developments
single-cell
transcriptome
profiling
methods
have
revealed
surprising
levels
of
expression
variability
among
seemingly
homogeneous
cells,
suggesting
the
existence
many
more
cell
types
than
previously
estimated.
This
review
synthesizes
recent
advances
ncRNA
research
CRC,
emphasizing
bioinformatics
approaches
for
their
analysis.
We
explore
computational
tools
used
identification,
characterization,
functional
prediction
with
a
focus
on
RNA
sequencing
(scRNA-seq)
data.
The
highlights
key
strategies,
including
sequence-based
structure-based
approaches,
machine
learning
applications,
multi-omics
data
integration.
discuss
how
these
techniques
can
be
applied
to
analyze
differential
expression,
perform
enrichment,
construct
regulatory
networks
involving
ncRNAs
CRC.
Additionally,
we
examine
role
leveraging
as
diagnostic
prognostic
biomarkers
also
scRNA-seq
studies
revealing
heterogeneity
aims
provide
comprehensive
overview
current
state
CRC
outline
future
directions
this
rapidly
evolving
field,
integration
experimental
validation
advance
our
understanding
biology
Language: Английский
Unveiling the clinical significance of RNA pseudouridine in colorectal cancer
Jiehua Li,
No information about this author
Xuanfei Li,
No information about this author
Xiaole Zhao
No information about this author
et al.
Science China Life Sciences,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 3, 2025
Language: Английский
Interplay of Transcriptomic Regulation, Microbiota, and Signaling Pathways in Lung and Gut Inflammation-Induced Tumorigenesis
Cells,
Journal Year:
2024,
Volume and Issue:
14(1), P. 1 - 1
Published: Dec. 24, 2024
Inflammation
can
positively
and
negatively
affect
tumorigenesis
based
on
the
duration,
scope,
sequence
of
related
events
through
regulation
signaling
pathways.
A
transcriptomic
analysis
five
pulmonary
arterial
hypertension,
twelve
Crohn’s
disease,
ulcerative
colitis
high
throughput
sequencing
datasets
using
R
language
specialized
libraries
gene
enrichment
analyses
identified
a
regulatory
network
in
each
inflammatory
disease.
IRF9
LINC01089
hypertension
are
to
pathways
like
MAPK,
NOTCH,
human
papillomavirus,
hepatitis
c
infection.
ZNF91
TP53TG1
disease
PPAR,
metabolic
ZNF91,
VDR,
DLEU1,
SATB2-AS1,
AMPK,
The
activation
might
be
interaction
characteristic
microbiota
with
lung
gut
cell
receptors
present
membrane
rafts
complexes.
highlights
impact
several
coding
non-coding
RNAs,
suggesting
their
relationship
unlocking
phenotypic
plasticity
for
acquisition
hallmarks
cancer
during
adaptation
phenotypes.
Language: Английский