Pseudouridine
(Ψ)
is
one
of
the
most
prevalent
modifications
in
RNA,
with
its
presence
detected
across
various
RNA
types,
including
mRNA.
The
association
Ψ
different
diseases,
particularly
cancers,
and
critical
role
tRNA
structure
underscores
biological
significance.
However,
robust
detection
this
modification
remains
a
formidable
challenge,
specific
function
within
mRNA
sequences
unknown.
In
initial
segment
thesis,
semi-quantitative
method
developed
that
leverages
direct
long-read
nanopore
sequencing
for
identifying
pseudouridylated
sites
on
human
mRNAs.
This
approach
capitalizes
U-to-C
basecalling
error
observed
at
positions.
A
comparative
analysis
involving
modification-free
transcriptome
reveals
depth
coverage
k-mer
are
pivotal
parameters
accurately
detecting
pseudouridine
modifications.By
fine-tuning
these
to
account
errors,
our
successfully
identifies
well-established
pseudouridylation
previously
unreported
uridine-modified
sites.
Many
newly
identified
align
k-mers
targeted
by
synthases.
Our
workflow
enables
native
molecules
from
data,
showcasing
capability
discern
multiple
same
strand.
Expanding
investigation,
we
introduce
concepts
type
I
II
hypermodifications.
Type
hypermodifications
denote
instances
high
occupancy
(>40%)
single
position,
providing
insights
into
extent
On
other
hand,
signify
scenarios
where
more
than
occurs
transcript.
nuanced
categorization
adds
understanding
pseudouridine's
influence,
paving
way
comprehensive
exploration
processes.
second
part
explore
dynamics
as
cellular
state.
We
use
cultured
SH-SY5Y
neuroblastoma
cells
model
system
investigate
impact
cell
state
changes
differentiating
neuron-like
assess
alterations
pseudouridine-modified
patterns
upon
exposure
lead,
an
environmental
neurotoxin
implicated
developmental
disorders.
assign
positions
their
cognate
synthase
performing
siRNA
knockdown
experiments
PUS7
TRUB1
validating
targets
using
algorithm,
Mod-p
ID.
find
many
fall
coding
sequences.
also
modified
three
categories:
1.
Modification
level
all
states
(static),
2.
levels
differ
(plastic),
3.
depends
change
(condition-dependent
plastic).
Interestingly,
motif
tend
be
static,
while
can
either
static
or
plastic
depending
These
studies
provide
exciting
candidates
future
individual
modifications.
--Author's
abstract
Nucleic Acids Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 10, 2024
To
date,
over
40
epigenetic
and
300
epitranscriptomic
modifications
have
been
identified.
However,
current
short-read
sequencing-based
experimental
methods
can
detect
<10%
of
these
modifications.
Integrating
long-read
sequencing
technologies
with
advanced
computational
approaches,
including
statistical
analysis
machine
learning,
offers
a
promising
new
frontier
to
address
this
challenge.
While
supervised
learning
achieved
some
success,
their
usefulness
is
restricted
limited
number
well-characterized
Here,
we
introduce
Modena,
an
innovative
unsupervised
approach
utilizing
nanopore
capable
detecting
broad
range
Modena
outperformed
other
in
five
out
six
benchmark
datasets,
cases
by
wide
margin,
while
being
equally
competitive
the
second
best
method
on
one
dataset.
Uniquely,
also
demonstrates
consistent
accuracy
DNA
dataset,
distinguishing
it
from
approaches.
A
key
feature
its
use
'dynamic
thresholding',
based
1D
score-clustering.
This
methodology
differs
substantially
traditional
statistics-based
'hard-thresholds.'
We
show
that
not
but
has
broader
applicability.
Specifically,
when
combined
two
existing
algorithms,
thresholding'
significantly
enhances
performance,
resulting
up
threefold
improvement
F1-scores.
Chinese Journal of Chemistry,
Journal Year:
2023,
Volume and Issue:
41(23), P. 3473 - 3483
Published: July 19, 2023
Comprehensive
Summary
Environmental
pollution
and
the
spread
of
pathogenic
microorganisms
pose
a
significant
threat
to
health
humans
planet.
Thus,
understanding
detecting
is
crucial
for
maintaining
healthy
living
environment.
Nanopore
sequencing
single‐molecule
detection
method
developed
in
1990s
that
has
revolutionized
various
research
fields.
It
offers
several
advantages
over
traditional
methods,
including
low
cost,
label‐free,
time‐saving
speed,
long
reading,
real‐time
monitoring,
convenient
carrying,
other
advantages.
In
this
review,
we
summarize
technical
principles
characteristics
nanopore
discuss
its
applications
amplicon
sequencing,
metagenome
whole‐genome
environmental
microorganisms,
as
well
situ
application
under
some
special
circumstances.
We
also
analyze
challenges
microbiology
research.
Overall,
potential
greatly
enhance
research,
but
further
developments
are
needed
overcome
current
challenges.
Pseudouridine
(Ψ)
is
one
of
the
most
prevalent
modifications
in
RNA,
with
its
presence
detected
across
various
RNA
types,
including
mRNA.
The
association
Ψ
different
diseases,
particularly
cancers,
and
critical
role
tRNA
structure
underscores
biological
significance.
However,
robust
detection
this
modification
remains
a
formidable
challenge,
specific
function
within
mRNA
sequences
unknown.
In
initial
segment
thesis,
semi-quantitative
method
developed
that
leverages
direct
long-read
nanopore
sequencing
for
identifying
pseudouridylated
sites
on
human
mRNAs.
This
approach
capitalizes
U-to-C
basecalling
error
observed
at
positions.
A
comparative
analysis
involving
modification-free
transcriptome
reveals
depth
coverage
k-mer
are
pivotal
parameters
accurately
detecting
pseudouridine
modifications.By
fine-tuning
these
to
account
errors,
our
successfully
identifies
well-established
pseudouridylation
previously
unreported
uridine-modified
sites.
Many
newly
identified
align
k-mers
targeted
by
synthases.
Our
workflow
enables
native
molecules
from
data,
showcasing
capability
discern
multiple
same
strand.
Expanding
investigation,
we
introduce
concepts
type
I
II
hypermodifications.
Type
hypermodifications
denote
instances
high
occupancy
(>40%)
single
position,
providing
insights
into
extent
On
other
hand,
signify
scenarios
where
more
than
occurs
transcript.
nuanced
categorization
adds
understanding
pseudouridine's
influence,
paving
way
comprehensive
exploration
processes.
second
part
explore
dynamics
as
cellular
state.
We
use
cultured
SH-SY5Y
neuroblastoma
cells
model
system
investigate
impact
cell
state
changes
differentiating
neuron-like
assess
alterations
pseudouridine-modified
patterns
upon
exposure
lead,
an
environmental
neurotoxin
implicated
developmental
disorders.
assign
positions
their
cognate
synthase
performing
siRNA
knockdown
experiments
PUS7
TRUB1
validating
targets
using
algorithm,
Mod-p
ID.
find
many
fall
coding
sequences.
also
modified
three
categories:
1.
Modification
level
all
states
(static),
2.
levels
differ
(plastic),
3.
depends
change
(condition-dependent
plastic).
Interestingly,
motif
tend
be
static,
while
can
either
static
or
plastic
depending
These
studies
provide
exciting
candidates
future
individual
modifications.
--Author's
abstract