Epigenomic insights into common human disease pathology
Cellular and Molecular Life Sciences,
Год журнала:
2024,
Номер
81(1)
Опубликована: Апрель 11, 2024
Abstract
The
epigenome—the
chemical
modifications
and
chromatin-related
packaging
of
the
genome—enables
same
genetic
template
to
be
activated
or
repressed
in
different
cellular
settings.
This
multi-layered
mechanism
facilitates
cell-type
specific
function
by
setting
local
sequence
3D
interactive
activity
level.
Gene
transcription
is
further
modulated
through
interplay
with
factors
co-regulators.
human
body
requires
this
epigenomic
apparatus
precisely
installed
throughout
development
then
adequately
maintained
during
lifespan.
causal
role
epigenome
pathology,
beyond
imprinting
disorders
tumour
suppressor
genes,
was
brought
into
spotlight
large-scale
sequencing
projects
identifying
that
mutations
machinery
genes
could
critical
drivers
both
cancer
developmental
disorders.
Abrogation
providing
new
molecular
insights
pathogenesis.
However,
deciphering
full
breadth
implications
these
changes
remains
challenging.
Knowledge
accruing
regarding
disease
mechanisms
clinical
biomarkers,
pathogenically
relevant
surrogate
tissue
analyses,
respectively.
Advances
include
consortia
generated
reference
epigenomes,
high-throughput
DNA
methylome
association
studies,
as
well
ageing-related
diseases
from
biological
‘clocks’
constructed
machine
learning
algorithms.
Also,
3rd-generation
beginning
disentangle
complexity
modification
haplotypes.
Cell-free
methylation
a
biomarker
has
clear
utility
potential
assess
organ
damage
across
many
Finally,
understanding
aetiology
brings
it
opportunity
for
exact
therapeutic
alteration
CRISPR-activation
inhibition.
Язык: Английский
Interpreting cis-regulatory interactions from large-scale deep neural networks
Nature Genetics,
Год журнала:
2024,
Номер
56(11), С. 2517 - 2527
Опубликована: Сен. 16, 2024
Язык: Английский
Genetic Insights into Breast Cancer in Northeastern Mexico: Unveiling Gene–Environment Interactions and Their Links to Obesity and Metabolic Diseases
Cancers,
Год журнала:
2025,
Номер
17(6), С. 982 - 982
Опубликована: Март 14, 2025
Background:
Breast
cancer
(BC),
one
of
the
most
common
cancers,
has
increased
in
Mexico
during
past
decade,
along
with
other
chronic
and
metabolic
diseases.
Methods:
Herein,
we
analyzed
121
SNPs
(85
related
to
BC
and/or
glucose-associated
pathways
36
SNP
classified
as
ancestry
markers)
92
confirmed
cases
126
unaffected
women
from
Northeastern
Mexico.
The
relationship
these
BC,
considering
BMI,
menopause
status,
age
cofactors,
was
explored
using
a
gene–environment
(G
×
E)
interaction
multi-locus
model.
Results:
Twelve
gene
variants
were
significantly
associated
BC:
three
located
exome
(rs3856806
PPARG,
rs12792229
MMP8,
rs5218
KCNJ11-ABCC8),
nine
non-coding
regions,
which
are
involved
accelerated
decay
mRNA
transcripts,
regulatory
flanking
regions
(rs3917542
PON1;
rs3750804
rs3750805
TCF7L2;
rs1121980
rs3751812
FTO;
rs12946618
RPTOR;
rs2833483
SCAF4;
rs11652805
AMZ2P1-GNA13;
rs1800955
SCT-DEAF1-DRD4).
Conclusions:
This
study
identified
an
association
between
menopause,
(above
45),
obesity,
overweight
status
implicated
diabetes
mellitus,
insulin
resistance,
inflammation,
remodeling
extracellular
matrix.
Язык: Английский
InterpretingCis-Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 3, 2023
ABSTRACT
The
rise
of
large-scale,
sequence-based
deep
neural
networks
(DNNs)
for
predicting
gene
expression
has
introduced
challenges
in
their
evaluation
and
interpretation.
Current
evaluations
align
DNN
predictions
with
experimental
perturbation
assays,
which
provides
insights
into
the
generalization
capabilities
within
studied
loci
but
offers
a
limited
perspective
what
drives
predictions.
Moreover,
existing
model
explainability
tools
focus
mainly
on
motif
analysis,
becomes
complex
when
interpreting
longer
sequences.
Here
we
introduce
CREME,
an
silico
toolkit
that
interrogates
large-scale
DNNs
to
uncover
rules
regulation
it
learns.
Using
investigate
Enformer,
prominent
prediction,
revealing
cis
-regulatory
elements
(CREs)
directly
enhance
or
silence
target
genes.
We
explore
intricate
complexity
higher-order
CRE
interactions,
relationship
between
distance
from
transcription
start
sites
expression,
as
well
biochemical
features
enhancers
silencers
learned
by
Enformer.
demonstrate
flexibility
CREME
efficiently
higher-resolution
view
functional
sequence
CREs.
This
work
demonstrates
how
can
be
employed
translate
powerful
study
open
questions
regulation.
Язык: Английский
Epigenetic Control of Cell Fate Decisions by Enhancer-Derived Long Noncoding RNAs
Опубликована: Янв. 1, 2024
Язык: Английский
Bioinformatics Analysis in Predicting Transcription Factors of Robo3 Gene in Drosophila melanogaster
Biomedical & Pharmacology Journal,
Год журнала:
2024,
Номер
17(2), С. 725 - 734
Опубликована: Июнь 25, 2024
In
bilaterian
animals,
axon
guidance
decisions
are
regulated
by
many
transmembrane
receptor
proteins
called
Roundabout
(Robo)
family
members.
During
the
developmental
stages
of
fruit
flies
(Drosophila
melanogaster),
three
Robo
members
play
unique
roles
in
central
nervous
system.
Robo3
is
revolutionarily
conserved
among
taxa
and
studies
show
that
regulates
mediolateral
axonal
navigation.
Recent
suggest
guides
longitudinal
axons
a
manner
independent
its
ligand
(slit).
The
expression
patterns
controlled
transcription
factors
(TFs)
significant
role
gene
regulation,
it
not
fully
understood
mechanism.
Knowing
factor
binding
sites
(TFBS)
would
help
to
predict
TFs
regulate
Robo3.
this
study,
bioinformatics
tools
MEME
Suite,
TOMTOM,
MAST
were
utilized
analyze
DNA
sequence
identify
putative
assist
as
docking
regions
for
involved
regulation
expression.
We
found
seven
TFs:
Btd,
Opa,
Mad,
Odd,
Twi,
CF2,
h.
Mapping
these
TF
motifs
against
showed
located
gene.
Understanding
implement
novel
strategies
control
overcome
disorders
related
This
study
aims
unknown
may
critical
Язык: Английский
Prenatal detection of novel compound heterozygous variants of the PLD1 gene in a fetus with congenital heart disease
Frontiers in Genetics,
Год журнала:
2024,
Номер
15
Опубликована: Ноя. 1, 2024
Congenital
heart
disease
(CHD)
is
the
most
common
birth
defect
and
valve
defects
are
cardiac
defect,
accounting
for
over
25%
of
all
congenital
diseases.
To
date,
more
than
400
genes
have
been
linked
to
CHD,
genetic
analysis
CHD
cases
crucial
both
clinical
management
etiological
determination.
Patients
with
autosomal-recessive
variants
Язык: Английский