Computational analysis of DNA methylation from long-read sequencing
Nature Reviews Genetics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 28, 2025
Language: Английский
Novel Techniques for Mapping DNA Damage and Repair in the Brain
Jenna Hedlich-Dwyer,
No information about this author
Joanne Allard,
No information about this author
Veronica E. Mulgrave
No information about this author
et al.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(13), P. 7021 - 7021
Published: June 27, 2024
DNA
damage
in
the
brain
is
influenced
by
endogenous
processes
and
metabolism
along
with
exogenous
exposures.
Accumulation
of
can
contribute
to
various
neurological
disorders,
including
neurodegenerative
diseases
neuropsychiatric
disorders.
Traditional
methods
for
assessing
brain,
such
as
immunohistochemistry
mass
spectrometry,
have
provided
valuable
insights
but
are
limited
their
inability
map
specific
adducts
regional
distributions
within
or
genome.
Recent
advancements
detection
offer
new
opportunities
address
these
limitations
further
our
understanding
repair
brain.
Here,
we
review
emerging
techniques
offering
more
precise
sensitive
ways
detect
quantify
lesions
neural
cells.
We
highlight
applications
discuss
potential
determining
role
disease.
Language: Английский
Dynamic dysregulation of retrotransposons in neurodegenerative diseases at the single-cell level
Genome Research,
Journal Year:
2024,
Volume and Issue:
34(10), P. 1687 - 1699
Published: Oct. 1, 2024
Retrotransposable
elements
(RTEs)
are
common
mobile
genetic
comprising
∼42%
of
the
human
genome.
RTEs
play
critical
roles
in
gene
regulation
and
function,
but
how
they
specifically
involved
complex
diseases
is
largely
unknown.
Here,
we
investigate
cellular
heterogeneity
using
12
single-cell
transcriptome
profiles
covering
three
neurodegenerative
diseases,
Alzheimer's
disease
(AD),
Parkinson's
disease,
multiple
sclerosis.
We
identify
cell
type
marker
neurons,
astrocytes,
oligodendrocytes,
oligodendrocyte
precursor
cells
that
related
to
these
diseases.
The
differential
expression
analysis
reveals
landscape
dysregulated
RTE
expression,
especially
L1s,
excitatory
neurons
Machine
learning
algorithms
for
predicting
stage
a
combination
features
suggests
dynamic
AD.
Furthermore,
construct
atlas
retrotransposable
(scARE)
data
sets
features.
scARE
has
six
feature
modules
explore
dynamics
user-defined
condition.
To
our
knowledge,
represents
first
systematic
investigation
at
level
within
context
Language: Английский