bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 5, 2024
Abstract
All
organisms
are
subjected
to
multiple
stresses
usually
occurring
at
the
same
time,
requiring
activation
of
appropriate
signalling
pathways
respond
all
or
by
prioritizing
response
one
stress
factor.
Plants,
as
sessile
organisms,
particularly
impacted
constantly
changing
environment
that
is
often
unfavourable
even
hostile.
Because
experimental
complexity
studying
organism
stressors
simultaneously,
experiments
conducted
considering
individual
factor
time.
An
alternative
consists
in
performing
silico
integration
those
data
on
single
response.
Currently
used
methods
integrate
unpaired
consist
meta-analysis
finding
differentially
expressed
genes
for
each
condition
separately
and
then
selecting
commonly
regulated
ones.
Although
these
approaches
allowed
find
valuable
results,
they
mainly
identify
specific
signatures
very
few
signature
responding
lack
modulated
differently
condition.
For
this
purpose,
we
developed
HIVE
(Horizontal
Integration
analysis
using
Variational
AutoEncoders)
single-stress
transcriptomics
datasets
composed
experiments.
Briefly,
coupled
a
variational
autoencoder,
alleviates
batch
effects,
with
random
forest
regression
SHAP
explainer
select
relevant
specifically
stresses.
We
illustrate
functionality
study
transcriptional
changes
several
different
plants
namely
Arabidopsis
thaliana
,
rice,
maize,
wheat,
grapevine
peanut
collecting
publicly
available
stress,
either
biotic
and/or
abiotic,
jointly
analyse
them.
performed
better
than
differential
expression
analysis,
state-of-the-art
tool
horizontal
allowing
novel
promising
candidates
responsible
triggering
effective
defence
responses
Current Atherosclerosis Reports,
Journal Year:
2023,
Volume and Issue:
25(9), P. 605 - 612
Published: Aug. 18, 2023
Abstract
Purpose
of
Review
The
goal
this
article
is
to
characterize
the
endothelium’s
role
in
development
hypertension
and
dyslipidemia
point
out
promising
therapeutic
directions.
Recent
Findings
Dyslipidemia
may
facilitate
hypertension,
whereas
collaboration
these
two
silent
killers
potentiates
risk
atherosclerosis.
common
pathophysiological
denominator
for
endothelial
cell
dysfunction,
which
manifests
as
dysregulation
homeostasis,
redox
balance,
vascular
tone,
inflammation,
thrombosis.
Treatment
focused
on
mediators
acting
processes
might
be
groundbreaking.
Metabolomic
research
has
revealed
new
targets.
State-of-the-art
solutions
integrating
interview,
clinical
examination,
innovative
imaging,
omics
profiles
along
with
artificial
intelligence
have
been
already
shown
improve
patients’
stratification
treatment.
Summary
Pathomechanisms
underlying
take
place
endothelium.
Novel
approaches
involving
biomarkers
bioinformatics
advances
could
open
perspectives
patient
management.
Critical Reviews in Food Science and Nutrition,
Journal Year:
2023,
Volume and Issue:
64(23), P. 8367 - 8383
Published: April 17, 2023
Fermented
foods
are
important
components
of
the
human
diet.
There
is
increasing
awareness
abundant
nutritional
and
functional
properties
present
in
fermented
that
arise
from
transformation
substrates
by
microbial
communities.
Thus,
it
significant
to
unravel
communities
mechanisms
characteristic
flavor
formation
occurring
during
fermentation.
has
been
rapid
development
high-throughput
other
omics
technologies,
such
as
metaproteomics
metabolomics,
a
result,
there
growing
recognition
importance
integrating
these
approaches.
The
successful
applications
multi-omics
approaches
bioinformatics
analyses
have
provided
solid
foundation
for
exploring
fermentation
process.
Compared
with
single-omics,
more
accurately
delineate
molecular
features,
thus
they
apt
reveal
This
review
introduces
an
overview
single-omics
technologies
-
including
metagenomics,
metatranscriptomics,
metaproteomics,
metabolomics.
We
also
discuss
integrated
bioinformatic
their
role
recent
research
progress
related
foods,
well
summarize
main
potential
pathways
involved
certain
foods.
In
future,
multilayered
data
should
be
conducted
enable
better
understanding
Ageing Research Reviews,
Journal Year:
2024,
Volume and Issue:
95, P. 102245 - 102245
Published: Feb. 23, 2024
The
human
female
reproductive
lifespan
significantly
diminishes
with
age,
leading
to
decreased
fertility,
reduced
fertility
quality
and
endocrine
function
disorders.
While
many
aspects
of
aging
in
general
have
been
extensively
documented,
the
precise
mechanisms
governing
programmed
system
remain
elusive.
Recent
advancements
omics
technologies
computational
capabilities
facilitated
emergence
multiomics
deep
phenotyping.
Through
application
refinement
various
high-throughput
methods,
a
substantial
volume
data
has
generated,
deepening
our
comprehension
pathogenesis
molecular
underpinnings
aging.
This
review
highlights
current
emerging
approaches
for
investigating
aging,
encompassing
genomics,
epigenomics,
transcriptomics,
proteomics,
metabolomics,
microbiomics.
We
elucidate
their
influence
on
fundamental
cell
biology
translational
research
context
address
limitations
challenges
associated
studies,
offer
glimpse
into
future
prospects.
Bioinformatics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 9, 2025
Abstract
Summary
With
the
increased
reliance
on
multi-omics
data
for
bulk
and
single
cell
analyses,
availability
of
robust
approaches
to
perform
unsupervised
learning
clustering,
visualization,
feature
selection
is
imperative.
We
introduce
nipalsMCIA,
an
implementation
multiple
co-inertia
analysis
(MCIA)
joint
dimensionality
reduction
that
solves
objective
function
using
extension
Non-linear
Iterative
Partial
Least
Squares
(NIPALS).
applied
nipalsMCIA
both
datasets
observed
significant
speed-up
over
other
implementations
with
a
large
sample
size
and/or
dimension.
Availability
Implementation
available
as
Bioconductor
package
at
https://bioconductor.org/packages/release/bioc/html/nipalsMCIA.html,
includes
detailed
documentation
application
vignettes.
Supplementary
Materials
are
online.
International Journal of Analytical Chemistry,
Journal Year:
2023,
Volume and Issue:
2023, P. 1 - 13
Published: March 8, 2023
Background.
In
recent
years,
the
incidence
and
mortality
of
colorectal
cancer
(CRC)
are
increasing,
5-year
survival
rate
advanced
metastatic
CRC
is
poor.
Small
mothers
against
decapentaplegic
(SMAD)
superfamily
intracellular
signal
transduction
proteins
associated
with
development
prognosis
a
variety
tumors.
At
present,
no
study
has
systematically
analysed
relationship
between
SMADs
CRC.
Methods.
Here,
R3.6.3
was
used
to
analyse
expression
in
pan-cancer
Protein
were
by
Human
Atlas
(HPA).
Gene
profiling
interactive
analysis
(GEPIA)
evaluate
correlation
tumor
stage
The
effect
R
language
GEPIA
on
analysed.
Mutation
rates
determined
cBioPortal,
potentially
related
genes
predicted
using
GeneMANIA.
correlate
immune
cell
infiltration
Results.
Both
SMAD1
SMAD2
found
be
weakly
expressed
correlated
invasion
level.
patient
prognosis,
stage.
SMAD3,
SMAD4,
SMAD7
all
at
low
levels
cells.
SMAD3
SMAD4
also
levels,
had
highest
mutation
rate.
SMAD5
SMAD6
overexpressed
CRC,
overall
(OS)
CD8+
T
cells,
macrophages,
neutrophils.
Conclusions.
Our
results
reveal
innovative
strong
evidence
that
can
as
biomarkers
for
treatment
Briefings in Bioinformatics,
Journal Year:
2024,
Volume and Issue:
25(Supplement_1)
Published: July 1, 2024
Abstract
Multi-omics
(genomics,
transcriptomics,
epigenomics,
proteomics,
metabolomics,
etc.)
research
approaches
are
vital
for
understanding
the
hierarchical
complexity
of
human
biology
and
have
proven
to
be
extremely
valuable
in
cancer
precision
medicine.
Emerging
scientific
advances
recent
years
made
high-throughput
genome-wide
sequencing
a
central
focus
molecular
by
allowing
collective
analysis
various
kinds
biological
data
from
different
types
specimens
single
tissue
or
even
at
level
cell.
Additionally,
with
help
improved
computational
resources
mining,
researchers
able
integrate
multi-omics
regimes
identify
new
prognostic,
diagnostic,
predictive
biomarkers,
uncover
novel
therapeutic
targets,
develop
more
personalized
treatment
protocols
patients.
For
community
parse
scientifically
clinically
meaningful
information
out
all
being
generated
each
day
efficiently
less
wasted
resources,
familiar
comfortable
using
advanced
analytical
tools,
such
as
Google
Cloud
Platform
becomes
imperative.
This
project
is
an
interdisciplinary,
cross-organizational
effort
provide
guided
learning
module
integrating
transcriptomics
epigenetics
into
comprehensive
pipeline
users
implement
their
own
work,
utilizing
cloud
computing
infrastructure
on
Cloud.
The
consists
three
submodules
that
guide
user
through
tutorial
examples
illustrate
RNA-sequence
Reduced-Representation
Bisulfite
Sequencing
data.
form
breast
case
studies,
sets
were
procured
public
repository
Gene
Expression
Omnibus.
first
submodule
devoted
RNA
data,
second
focuses
DNA
methylation
third
integrates
two
methods
deeper
understanding.
modules
begin
collection
preprocessing,
further
downstream
performed
Vertex
AI
Jupyter
notebook
instance
R
kernel.
Analysis
results
returned
buckets
storage
visualization,
removing
strain
local
resources.
final
product
start-to-finish
limited
experience
perform
research.
manuscript
describes
development
resource
part
platform
named
``NIGMS
Sandbox
Cloud-based
Learning''
https://github.com/NIGMS/NIGMS-Sandbox.
overall
genesis
described
editorial
NIGMS
[16]
beginning
this
Supplement.
delivers
materials
bulk
single-cell
ATAC-seq
interactive
format
uses
appropriate
access
analyses.
Highlights
Biomedicines,
Journal Year:
2024,
Volume and Issue:
12(10), P. 2389 - 2389
Published: Oct. 18, 2024
Osteoporosis
(OP)
is
a
prevalent
skeletal
disorder
characterized
by
decreased
bone
mineral
density
(BMD)
and
increased
fracture
risk.
The
advancements
in
omics
technologies—genomics,
transcriptomics,
proteomics,
metabolomics—have
provided
significant
insights
into
the
molecular
mechanisms
driving
OP.
These
technologies
offer
critical
perspectives
on
genetic
predispositions,
gene
expression
regulation,
protein
signatures,
metabolic
alterations,
enabling
identification
of
novel
biomarkers
for
diagnosis
therapeutic
targets.
This
review
underscores
potential
these
multi-omics
approaches
to
bridge
gap
between
basic
research
clinical
applications,
paving
way
precision
medicine
OP
management.
By
integrating
technologies,
researchers
can
contribute
improved
diagnostics,
preventative
strategies,
treatments
patients
suffering
from
related
conditions.
Biomedicines,
Journal Year:
2025,
Volume and Issue:
13(2), P. 485 - 485
Published: Feb. 16, 2025
The
intersection
of
COVID-19
and
cardiovascular
disease
(CVD)
has
emerged
as
a
significant
area
research,
particularly
in
understanding
the
impact
antiplatelet
therapies
like
ticagrelor
clopidogrel.
been
associated
with
acute
complications,
including
myocardial
infarction,
thrombosis,
heart
failure,
exacerbated
by
virus's
ability
to
trigger
widespread
inflammation
endothelial
dysfunction.
MicroRNAs
(miRNAs)
play
critical
role
regulating
these
processes
modulating
gene
expressions
involved
platelet
function,
inflammation,
vascular
homeostasis.
This
study
explores
potential
miRNAs
such
miR-223
miR-126
biomarkers
for
predicting
resistance
or
responsiveness
patients
disease.
Identifying
miRNA
signatures
linked
drug
efficacy
could
optimize
treatment
strategies
at
high
risk
thrombotic
events
during
infection.
Moreover,
miRNA-mediated
pathways
offers
new
insights
into
how
SARS-CoV-2
exacerbates
CVD,
through
mechanisms
cytokine
storms
damage.
findings
this
research
lead
personalized
therapeutic
approaches,
improving
patient
outcomes
reducing
mortality
COVID-19-associated
events.
With
global
implications,
addresses
urgent
need
effective
management
CVD
context
COVID-19,
focusing
on
integration
molecular
enhance
precision
therapy.
Genes & Nutrition,
Journal Year:
2025,
Volume and Issue:
20(1)
Published: March 5, 2025
Discovery
and
translation
of
gene-environment
interactions
(GxEs)
influencing
clinical
outcomes
is
limited
by
low
statistical
power
poor
mechanistic
understanding.
Molecular
omics
data
may
help
address
these
limitations,
but
their
incorporation
into
GxE
testing
requires
principled
analytic
approaches.
We
focused
on
genetic
modification
the
established
link
between
dietary
long-chain
omega-3
fatty
acid
(dN3FA)
intake,
plasma
N3FA
(pN3FA),
chronic
inflammation
as
measured
high
sensitivity
CRP
(hsCRP).
considered
an
approach
that
decomposes
overall
effect
components
upstream
downstream
a
molecular
mediator
to
increase
potential
discover
gene-N3FA
interactions.
Simulations
demonstrated
improved
tests
compared
standard
when
for
many
biologically
plausible
scenarios.
The
was
applied
in
UK
Biobank
(N
=
188,700)
with
regression
models
used
measures
dN3FA
(based
fish
oil
intake),
pN3FA
(%
total
acids
nuclear
magnetic
resonance),
hsCRP.
Mediation
analysis
showed
fully
mediated
dN3FA-hsCRP
main
relationship.
Next,
we
separately
tested
("standard"),
dN3FA-pN3FA
("upstream"),
pN3FA-hsCRP
("downstream")
associations.
known
FADS1-3
locus
variant
rs174535
reached
p
1.6
×
10-12
discovery
analysis,
no
signal
(p
0.94).
It
would
not
have
been
prioritized
based
naïve
exposure
hsCRP
outcome
0.097),
indicating
value
decomposition
approach.
Gene-level
enrichment
genome-wide
results
further
two
genes
from
CBLL1
MICA,
links
immune
cell
counts
function.
In
summary,
mediator-focused
interaction
enhanced
identify
GxEs
while
homing
relevant
sub-components
pathway.