Bioinformatics and Biology Insights,
Journal Year:
2024,
Volume and Issue:
18
Published: Jan. 1, 2024
Atherosclerosis
differs
across
major
arteries.
Although
the
biological
basis
is
not
fully
understood,
limited
evidence
of
genetic
differences
has
been
documented.
This
study,
therefore,
was
aimed
to
identify
differentially
expressed
genes
between
clinically
relevant
arteries
and
investigate
their
enrichment
in
endothelial
dysfunction-related
gene
sets.
A
bioinformatic
analysis
publicly
available
gene-level
read
counts
for
coronary,
aortic,
tibial
performed.
Differential
expression
conducted
with
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 8, 2025
Abstract
Post-translational
modifications
(PTMs)
play
pivotal
roles
in
regulating
cellular
signaling,
fine-tuning
protein
function,
and
orchestrating
complex
biological
processes.
Despite
their
importance,
the
lack
of
comprehensive
tools
for
studying
PTMs
from
a
pathway-centric
perspective
has
limited
our
ability
to
understand
how
modulate
pathways
on
molecular
level.
Here,
we
present
PTMNavigator,
tool
integrated
into
ProteomicsDB
platform
that
offers
an
interactive
interface
researchers
overlay
experimental
PTM
data
with
pathway
diagrams.
PTMNavigator
provides
~3000
canonical
manually
curated
databases,
enabling
users
modify
create
custom
diagrams
tailored
data.
Additionally,
automatically
runs
kinase
enrichment
algorithms
whose
results
are
directly
visualization.
This
view
intricate
relationship
between
signaling
pathways.
We
demonstrate
utility
by
applying
it
two
phosphoproteomics
datasets,
showing
can
enhance
analysis,
visualize
drug
treatments
result
discernable
flow
PTM-driven
aid
proposing
extensions
existing
By
enhancing
understanding
dynamics
facilitating
discovery
PTM-pathway
interactions,
advances
knowledge
biology
its
implications
health
disease.
PLoS Computational Biology,
Journal Year:
2025,
Volume and Issue:
21(1), P. e1012711 - e1012711
Published: Jan. 9, 2025
Machine
learning
has
become
a
powerful
tool
for
computational
analysis
in
the
biomedical
sciences,
with
its
effectiveness
significantly
enhanced
by
integrating
domain-specific
knowledge.
This
integration
give
rise
to
informed
machine
learning,
contrast
studies
that
lack
domain
knowledge
and
treat
all
variables
equally
(uninformed
learning).
While
application
of
bioinformatics
health
informatics
datasets
more
seamless,
likelihood
errors
also
increased.
To
address
this
drawback,
we
present
eight
guidelines
outlining
best
practices
employing
methods
sciences.
These
quick
tips
offer
recommendations
on
various
aspects
analysis,
aiming
assist
researchers
generating
robust,
explainable,
dependable
results.
Even
if
originally
crafted
these
simple
suggestions
novices,
believe
they
are
deemed
relevant
expert
as
well.
Molecular Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 10, 2025
ABSTRACT
Invading
species
along
with
increased
anthropogenization
may
lead
to
hybridization
events
between
wild
and
closely
related
domesticates.
As
a
consequence,
carry
introgressed
alleles
from
domestic
species,
which
is
generally
assumed
yield
adverse
effects
in
populations.
The
opposite
evolutionary
adaptive
introgression,
where
genes
are
positively
selected
the
possible
but
has
rarely
been
documented.
Grey
wolves
(
Canis
lupus
)
widely
distributed
across
Holarctic
frequently
coexist
their
close
relative,
dog
C.
familiaris
).
Despite
ample
opportunity,
occurs
most
Here
we
studied
geographically
isolated
grey
of
Iberian
Peninsula,
who
have
coexisted
large
population
loosely
controlled
dogs
for
thousands
years
human‐modified
landscape.
We
assessed
extent
impact
introgression
on
current
wolf
by
analysing
150
whole
genomes
other
Eurasian
as
well
originating
Europe
western
Siberia.
identified
almost
no
recent
small
(<
5%)
overall
ancient
ancestry.
Using
combination
single
scan
statistics
ancestry
enrichment
estimates,
positive
selection
six
DAPP1
,
NSMCE4A
MPPED2
PCDH9
MBTPS1
CDH13
dogs.
include
functions
immune
response
brain
functions,
explain
some
unique
behavioural
phenotypes
such
reduced
dispersal
compared
PLoS Computational Biology,
Journal Year:
2022,
Volume and Issue:
18(12), P. e1010718 - e1010718
Published: Dec. 15, 2022
Applying
computational
statistics
or
machine
learning
methods
to
data
is
a
key
component
of
many
scientific
studies,
in
any
field,
but
alone
might
not
be
sufficient
generate
robust
and
reliable
outcomes
results.
Before
applying
discovery
method,
preprocessing
steps
are
necessary
prepare
the
analysis.
In
this
framework,
cleaning
feature
engineering
pillars
study
involving
analysis
that
should
adequately
designed
performed
since
first
phases
project.
We
call
"feature"
variable
describing
particular
trait
person
an
observation,
recorded
usually
as
column
dataset.
Even
if
pivotal,
these
sometimes
done
poorly
inefficiently,
especially
by
beginners
unexperienced
researchers.
For
reason,
we
propose
here
our
quick
tips
for
on
how
carry
out
important
correctly
avoiding
common
mistakes
pitfalls.
Although
guidelines
with
bioinformatics
health
informatics
scenarios
mind,
believe
they
can
more
general
applied
area.
therefore
target
researcher
practitioners
wanting
perform
engineering.
simple
recommendations
help
researchers
scholars
better
analyses
lead,
turn,
solid
discoveries.
PLoS Computational Biology,
Journal Year:
2023,
Volume and Issue:
19(7), P. e1011224 - e1011224
Published: July 6, 2023
Data
are
the
most
important
elements
of
bioinformatics:
Computational
analysis
bioinformatics
data,
in
fact,
can
help
researchers
infer
new
knowledge
about
biology,
chemistry,
biophysics,
and
sometimes
even
medicine,
influencing
treatments
therapies
for
patients.
Bioinformatics
high-throughput
biological
data
coming
from
different
sources
be
more
helpful,
because
each
these
chunks
provide
alternative,
complementary
information
a
specific
phenomenon,
similar
to
multiple
photos
same
subject
taken
angles.
In
this
context,
integration
gets
pivotal
role
running
successful
study.
last
decades,
originating
proteomics,
metabolomics,
metagenomics,
phenomics,
transcriptomics,
epigenomics
have
been
labelled
-omics
as
unique
name
refer
them,
omics
has
gained
importance
all
areas.
Even
if
is
useful
relevant,
due
its
heterogeneity,
it
not
uncommon
make
mistakes
during
phases.
We
therefore
decided
present
ten
quick
tips
perform
an
correctly,
avoiding
common
we
experienced
or
noticed
published
studies
past.
designed
our
guidelines
beginners,
by
using
simple
language
that
(we
hope)
understood
anyone,
believe
recommendations
should
into
account
bioinformaticians
performing
integration,
including
experts.
PLoS Computational Biology,
Journal Year:
2023,
Volume and Issue:
19(1), P. e1010778 - e1010778
Published: Jan. 5, 2023
Medical
imaging
is
a
great
asset
for
modern
medicine,
since
it
allows
physicians
to
spatially
interrogate
disease
site,
resulting
in
precise
intervention
diagnosis
and
treatment,
observe
particular
aspect
of
patients'
conditions
that
otherwise
would
not
be
noticeable.
Computational
analysis
medical
images,
moreover,
can
allow
the
discovery
patterns
correlations
among
cohorts
patients
with
same
disease,
thus
suggesting
common
causes
or
providing
useful
information
better
therapies
cures.
Machine
learning
deep
applied
particular,
have
produced
new,
unprecedented
results
pave
way
advanced
frontiers
discoveries.
While
computational
images
has
become
easier,
however,
possibility
make
mistakes
generate
inflated
misleading
too,
hindering
reproducibility
deployment.
In
this
article,
we
provide
ten
quick
tips
perform
avoiding
pitfalls
noticed
multiple
studies
past.
We
believe
our
guidelines,
if
taken
into
practice,
help
computational-medical
community
scientific
research
eventually
positive
impact
on
lives
worldwide.
Frontiers in Bioinformatics,
Journal Year:
2022,
Volume and Issue:
2
Published: Oct. 26, 2022
Functional
enrichment
analysis
or
pathway
(PEA)
is
a
bioinformatics
technique
which
identifies
the
most
over-represented
biological
pathways
in
list
of
genes
compared
to
those
that
would
be
associated
with
them
by
chance.
These
functions
are
found
on
annotated
databases
such
as
The
Gene
Ontology
KEGG;
more
abundant
identified
through
statistical
techniques
Fisher's
exact
test.
All
PEA
tools
require
input.
A
few
tools,
however,
read
lists
genomic
regions
input
rather
than
genes,
and
first
associate
these
chromosome
their
corresponding
genes.
perform
procedure
called
analysis,
can
useful
for
detecting
related
set
regions.
In
this
brief
survey,
we
analyze
six
(BEHST,
g:Profiler
g:GOSt,
GREAT,
LOLA,
Poly-Enrich,
ReactomePA),
outlining
comparing
main
features.
Our
comparison
results
indicate
inclusion
data
regulatory
elements,
ChIP-seq,
common
among
could
therefore
improve
results.
npj Precision Oncology,
Journal Year:
2024,
Volume and Issue:
8(1)
Published: July 25, 2024
Abstract
Here,
we
show
that
combined
use
of
the
EZH2
inhibitor
GSK126
and
CDK4/6
abemaciclib
synergistically
enhances
antitumoral
effects
in
preclinical
GBM
models.
Dual
blockade
led
to
HIF1α
upregulation
CalR
translocation,
accompanied
by
massive
impairment
mitochondrial
function.
Basal
oxygen
consumption
rate,
ATP
synthesis,
maximal
respiration
decreased,
confirming
disrupted
endoplasmic
reticulum-mitochondrial
homeostasis.
This
was
paralleled
depolarization
UPR
sensors
PERK,
ATF6α,
IRE1α.
Notably,
dual
EZH2/CDK4/6
also
reduced
3D-spheroid
invasion,
partially
inhibited
tumor
growth
ovo
,
impaired
viability
patient-derived
organoids.
Mechanistically,
this
due
transcriptional
changes
genes
involved
mitotic
aberrations/spindle
assembly
(
Rb,
PLK1,
RRM2,
PRC1,
CENPF,
TPX2
),
histone
modification
HIST1H1B,
HIST1H3G
DNA
damage/replication
stress
events
TOP2A,
ATF4
immuno-oncology
DEPDC1
EMT-counterregulation
PCDH1
)
a
shift
stemness
profile
towards
more
differentiated
state.
We
propose
for
further
investigation.