Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Авг. 9, 2024
Abstract
mRNA
biogenesis
in
the
eukaryotic
nucleus
is
a
highly
complex
process.
The
numerous
RNA
processing
steps
are
tightly
coordinated
to
ensure
that
only
fully
processed
transcripts
released
from
chromatin
for
export
nucleus.
Here,
we
present
hypothesis
fission
yeast
Dbp2,
ribonucleoprotein
(RNP)
remodelling
ATPase
of
DEAD-box
family,
key
enzyme
an
RNP
assembly
checkpoint
at
3’-end
genes.
We
show
Dbp2
interacts
with
cleavage
and
polyadenylation
(CPAC)
localises
bodies,
which
enriched
factors
proteins
involved
nuclear
surveillance.
Upon
loss
3’-processed,
polyadenylated
RNAs
accumulate
on
CPAC
components
depleted
soluble
pool.
Under
these
conditions,
cells
display
increased
likelihood
skip
sites
delayed
transcription
termination,
suggesting
levels
free
insufficient
maintain
normal
processing.
Our
data
support
model
active
component
mRNP
licenses
coupled
release.
Abstract
The
spatial
organization
of
molecules
in
a
cell
is
essential
for
their
functions.
While
current
methods
focus
on
discerning
tissue
architecture,
cell–cell
interactions,
and
expression
patterns,
they
are
limited
to
the
multicellular
scale.
We
present
Bento,
Python
toolkit
that
takes
advantage
single-molecule
information
enable
analysis
at
subcellular
Bento
ingests
molecular
coordinates
segmentation
boundaries
perform
three
analyses:
defining
domains,
annotating
localization
quantifying
gene–gene
colocalization.
demonstrate
MERFISH,
seqFISH
+
,
Molecular
Cartography,
Xenium
datasets.
part
open-source
Scverse
ecosystem,
enabling
integration
with
other
single-cell
tools.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Июнь 15, 2023
Metabolic
labeling
of
RNA
is
a
powerful
technique
for
studying
the
temporal
dynamics
gene
expression.
Nucleotide
conversion
approaches
greatly
facilitate
generation
data
but
introduce
challenges
their
analysis.
Here
we
present
grandR,
comprehensive
package
quality
control,
differential
expression
analysis,
kinetic
modeling,
and
visualization
such
data.
We
compare
several
existing
methods
inference
synthesis
rates
half-lives
using
progressive
time
courses.
demonstrate
need
recalibration
effective
times
Bayesian
approach
to
study
snapshot
experiments.
NAR Genomics and Bioinformatics,
Год журнала:
2025,
Номер
7(1)
Опубликована: Янв. 7, 2025
Abstract
We
introduce
Halfpipe,
a
tool
for
analyzing
RNA-seq
data
from
metabolic
RNA
labeling
experiments.
Its
main
features
are
the
absolute
quantification
of
4-thiouridine-labeling-induced
T>C
conversions
in
as
generated
by
SLAM-seq,
calculating
proportion
newly
synthesized
transcripts,
and
estimating
subcellular
half-lives.
Halfpipe
excels
at
correcting
critical
biases
caused
typically
low
efficiency.
measure
compare
metabolism
G1
phase
during
mitosis
synchronized
human
cells.
find
that
half-lives
constantly
expressed
RNAs
similar
phase,
suggesting
stability
those
genes
is
constant
throughout
cell
cycle.
Our
estimates
correlate
well
with
literature
values
known
sequence
features.
freely
available
https://github.com/IMSBCompBio/Halfpipe.
Nuclear
compartments
are
membrane-less
regions
enriched
in
functionally
related
molecules.
RNA
is
a
major
component
of
many
nuclear
compartments,
but
the
identity
and
dynamics
transcripts
within
poorly
understood.
Here,
we
applied
reverse
transcribe
tagment
(RT&Tag)
to
human
cell
lines
identify
transcript
populations
Polycomb
domains
speckles.
We
also
developed
SLAM-RT&Tag,
which
combines
metabolic
labeling
with
RT&Tag,
quantify
compartments.
observed
unique
differing
structures
each
compartment.
Intriguingly,
exceptionally
long
genes
transcribed
adjacent
transiently
associated
chromatin.
By
contrast,
speckles
act
as
quality
control
checkpoints
that
confine
incompletely
spliced
polyadenylated
facilitate
their
post-transcriptional
splicing.
In
summary,
demonstrate
at
undergo
distinct
processing
mechanisms,
highlighting
pivotal
role
compartmentalization
maturation.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 14, 2025
Cellular
RNA
levels
are
a
product
of
synthesis
and
degradation
kinetics,
which
can
differ
among
transcripts
the
same
gene.
An
important
cause
isoform-specific
decay
is
nonsense-mediated
mRNA
(NMD)
pathway,
degrades
with
premature
termination
codons
(PTCs)
other
features.
Understanding
NMD
functions
requires
strategies
to
quantify
isoform
kinetics;
however,
current
approaches
remain
limited.
Methods
like
nucleotide-recoding
RNA-seq
(NR-seq)
enable
insights
into
but
existing
bioinformatic
tools
do
not
provide
robust,
rate
constant
estimates.
We
extend
EZbakR-suite
by
implementing
strategy
infer
isoform-level
kinetics
from
short-read
NR-seq
data.
This
approach
uncovers
unexpected
variability
in
efficiency
conserved
PTC-containing
exons
rapid
subset
mRNAs
lacking
PTCs.
Our
findings
highlight
effects
competition
between
pathways,
mechanistic
established
correlates,
identify
transcript
features
promoting
efficient
decay.
Transcript
buffering
entails
reciprocal
modulation
of
mRNA
synthesis
and
degradation
to
maintain
stable
RNA
levels
under
varying
cellular
conditions.
Current
models
depict
a
global
connection
between
degradation,
but
underlying
mechanisms
remain
unclear.
Here,
we
show
that
changes
in
metabolism
following
depletion
TIP60/KAT5,
the
acetyltransferase
subunit
NuA4
transcriptional
coactivator
complex,
reveal
transcript
occurs
at
gene-specific
level.
By
combining
sequencing
nuclear,
cytoplasmic,
newly
synthesized
fractions
with
biophysical
modeling
mouse
embryonic
stem
cells,
demonstrate
caused
by
TIP60
are
offset
corresponding
nuclear
export
cytoplasmic
stability,
indicating
buffering.
Disruption
unrelated
ATAC
complex
also
causes
We
propose
cells
dynamically
adjust
splicing,
export,
response
individual
alterations,
thereby
sustaining
homeostasis.
Gene
expression
involves
a
series
of
consequential
processes,
beginning
with
mRNA
synthesis
and
culminating
in
translation.
Traditionally
studied
as
linear
sequence
events,
recent
findings
challenge
this
perspective,
revealing
coupling
mechanisms
that
coordinate
key
steps
gene
expression,
even
when
spatially
temporally
distant.
In
review,
we
focus
on
translation,
the
final
stage
examine
its
stages
metabolism:
synthesis,
processing,
export,
decay.
For
each
these
provide
an
overview
known
instances
Furthermore,
discuss
role
high-throughput
technologies
uncovering
intricate
interactions
genome-wide
scale.
Finally,
highlight
challenges
propose
future
directions
to
advance
our
understanding
how
orchestrate
robust
adaptable
programs.