International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(21), P. 11757 - 11757
Published: Nov. 1, 2024
For
research
on
HIV/AIDS,
it
is
important
to
elucidate
the
complex
viral-host
interaction,
host
dependency
factors
(HDFs),
and
restriction
factors.
However,
regulatory
network
of
HIV-resistance-related
remains
not
well
understood.
Therefore,
we
integrated
four
publicly
available
HIV-related
transcriptome
datasets,
along
with
three
datasets
HIV-infection-related
DNA
methylation,
miRNA,
ChIP-seq,
predict
influencing
HIV
resistance
infection.
Our
approach
involved
differential
analysis,
functional
annotation,
protein-protein
interaction
analysis.
Through
comprehensive
analyses,
identified
25
potential
genes
(including
shared
Viruses,
Journal Year:
2023,
Volume and Issue:
15(7), P. 1431 - 1431
Published: June 24, 2023
The
oncofetal
RNA-binding
protein
IGF2BP1
has
been
reported
to
be
a
driver
of
tumor
progression
in
multitude
cancer
entities.
Its
main
function
is
the
stabilization
target
transcripts
by
shielding
these
from
miRNA-mediated
degradation.
However,
there
growing
evidence
that
several
virus
species
recruit
promote
their
propagation.
In
particular,
tumor-promoting
viruses,
such
as
hepatitis
B/C
and
human
papillomaviruses,
benefit
IGF2BP1.
Moreover,
recent
suggests
non-oncogenic
SARS-CoV-2,
also
take
advantage
only
inhibited
date
HIV-1.
This
review
summarizes
current
knowledge
about
interactions
between
different
species.
It
further
recapitulates
findings
presenting
analyses
publicly
available
high-throughput
datasets.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(16), P. 8809 - 8809
Published: Aug. 13, 2024
microRNAs
have
emerged
as
essential
regulators
of
health
and
disease,
attracting
significant
attention
from
researchers
across
diverse
disciplines.
Following
their
identification
noncoding
oligonucleotides
intricately
involved
in
post-transcriptional
regulation
protein
expression,
extensive
efforts
were
devoted
to
elucidating
validating
roles
fundamental
metabolic
pathways
multiple
pathologies.
Viral
infections
are
modifiers
the
host
microRNAome.
Specifically,
Human
Immunodeficiency
Virus
(HIV),
which
affects
approximately
39
million
people
worldwide
has
no
definitive
cure,
was
reported
induce
changes
cell
miRNA
profiles.
Identifying
understanding
effects
aberrant
microRNAome
holds
potential
for
early
detection
therapeutic
designs.
This
review
presents
a
comprehensive
overview
impact
HIV
on
We
aim
cause-and-effect
relationship
between
HIV-induced
that
underscores
miRNA’s
acknowledge
its
limitations.
Dermatologic Therapy,
Journal Year:
2024,
Volume and Issue:
2024, P. 1 - 12
Published: March 18, 2024
Sexually
transmitted
diseases
(STDs),
including
condyloma
acuminatum
(CA),
syphilis,
gonorrhea,
genital
Chlamydia
trachomatis
(CT),
and
acquired
immune
deficiency
syndrome
(AIDS)/human
immunodeficiency
virus
(HIV)
infection,
are
a
group
of
primarily
through
sexual
contact,
similar
behaviors,
indirect
contact.
These
exert
profound
impact
on
both
the
physical
mental
health
patients
impose
substantial
socioeconomic
burden.
Nonetheless,
there
is
lack
satisfactory
treatment
options
preventive
strategies
currently.
Research
has
revealed
aberrant
expression
patterns
microRNAs
(miRNAs)
in
tissues
blood
individuals
with
STDs,
which
involved
regulation
essential
cellular
processes,
proliferation,
differentiation,
apoptosis.
Consequently,
miRNAs
hold
promise
as
crucial
biomarkers
for
early
diagnosis,
disease
assessment,
prognosis,
potential
therapeutic
targets
STDs.
This
systematic
review
presents
pertinent
research
context
STDs
to
establish
theoretical
foundation
clinical
diagnosis
strategies.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(21), P. 11757 - 11757
Published: Nov. 1, 2024
For
research
on
HIV/AIDS,
it
is
important
to
elucidate
the
complex
viral-host
interaction,
host
dependency
factors
(HDFs),
and
restriction
factors.
However,
regulatory
network
of
HIV-resistance-related
remains
not
well
understood.
Therefore,
we
integrated
four
publicly
available
HIV-related
transcriptome
datasets,
along
with
three
datasets
HIV-infection-related
DNA
methylation,
miRNA,
ChIP-seq,
predict
influencing
HIV
resistance
infection.
Our
approach
involved
differential
analysis,
functional
annotation,
protein-protein
interaction
analysis.
Through
comprehensive
analyses,
identified
25
potential
genes
(including
shared
