Attenuating ribosome load improves protein output from mRNA by limiting translation-dependent mRNA decay
Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(4), P. 114098 - 114098
Published: April 1, 2024
Developing
an
effective
mRNA
therapeutic
often
requires
maximizing
protein
output
per
delivered
molecule.
We
previously
found
that
coding
sequence
(CDS)
design
can
substantially
affect
output,
with
variants
containing
more
optimal
codons
and
higher
secondary
structure
yielding
the
highest
outputs
due
to
their
slow
rates
of
decay.
Here,
we
demonstrate
CDS-dependent
differences
in
translation
initiation
elongation
lead
translation-
deadenylation-dependent
decay
rates,
thus
explaining
effect
CDS
on
half-life.
Surprisingly,
most
stable
highest-expressing
mRNAs
our
test
set
have
modest
initiation/elongation
ribosome
loads,
leading
minimal
translation-dependent
These
findings
are
potential
interest
for
optimization
from
mRNAs,
which
may
be
achieved
by
attenuating
rather
than
load.
Language: Английский
The regulatory landscape of 5′ UTRs in translational control during zebrafish embryogenesis
Developmental Cell,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
The
5'
UTRs
of
mRNAs
are
critical
for
translation
regulation
during
development,
but
their
in
vivo
regulatory
features
poorly
characterized.
Here,
we
report
the
landscape
early
zebrafish
embryogenesis
using
a
massively
parallel
reporter
assay
18,154
sequences
coupled
to
polysome
profiling.
We
found
that
UTR
suffices
confer
temporal
dynamics
initiation
and
identified
86
motifs
enriched
with
distinct
ribosome
recruitment
capabilities.
A
quantitative
deep
learning
model,
Danio
Optimus
5-Prime
(DaniO5P),
combined
role
length,
site
context,
upstream
AUGs,
sequence
on
recruitment.
DaniO5P
predicts
activities
maternal
zygotic
isoforms
indicates
modulating
length
motif
grammar
contributes
dynamics.
This
study
provides
first
model
UTR-based
development
lays
foundation
identifying
underlying
molecular
effectors.
Language: Английский
Repressing cytokine storm-like response in macrophages by targeting the eIF2α-integrated stress response pathway
Xiaoyun Wang,
No information about this author
Chaochao Dai,
No information about this author
Wen Cheng
No information about this author
et al.
International Immunopharmacology,
Journal Year:
2025,
Volume and Issue:
147, P. 113965 - 113965
Published: Jan. 2, 2025
Language: Английский
Sequence determinants as key regulators in gene expression of T cells
Immunological Reviews,
Journal Year:
2021,
Volume and Issue:
304(1), P. 10 - 29
Published: Sept. 5, 2021
T
cell
homeostasis,
differentiation,
and
effector
function
rely
on
the
constant
fine-tuning
of
gene
expression.
To
alter
state,
substantial
remodeling
proteome
is
required.
This
depends
intricate
interplay
regulatory
mechanisms,
including
post-transcriptional
regulation.
In
this
review,
we
discuss
how
sequence
a
transcript
influences
these
events.
particular,
review
determinants
such
as
conservation,
GC
content,
chemical
modifications
define
levels
mRNA
protein
in
cell.
We
describe
effect
different
forms
alternative
splicing
expression
production,
their
subcellular
localization.
addition,
role
sequences
structures
binding
hubs
for
miRNAs
RNA-binding
proteins
cells.
The
thus
highlights
intimate
mechanisms
dictate
cellular
fate
decisions
Language: Английский
Predicting the translation efficiency of messenger RNA in mammalian cells
Dinghai Zheng,
No information about this author
Jun Wang,
No information about this author
Logan Persyn
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 11, 2024
The
degree
to
which
translational
control
is
specified
by
mRNA
sequence
poorly
understood
in
mammalian
cells.
Here,
we
constructed
and
leveraged
a
compendium
of
3,819
ribosomal
profiling
datasets,
distilling
them
into
transcriptome-wide
atlas
translation
efficiency
(TE)
measurements
encompassing
>140
human
mouse
cell
types.
We
subsequently
developed
RiboNN,
multitask
deep
convolutional
neural
network,
classic
machine
learning
models
predict
TEs
hundreds
types
from
sequence-encoded
features,
achieving
state-of-the-art
performance
(r=0.79
r=0.78
for
mean
TE
across
types).
While
the
majority
earlier
solely
considered
5′
UTR
sequence,
RiboNN
integrates
contributions
full-length
that
UTR,
CDS,
3′
respectively
possess
~67%,
31%,
2%
per-nucleotide
information
density
specification
TEs.
Interpretation
revealed
spatial
positioning
low-level
di-
tri-nucleotide
features
(i.e.,
including
codons)
largely
explain
model
performance,
capturing
mechanistic
principles
such
as
how
processivity
tRNA
abundance
output.
predictive
behavior
base-modified
therapeutic
RNA,
can
evolutionary
selection
pressures
UTRs.
Finally,
it
detects
common
language
governing
regulatory
highlights
interconnectedness
translation,
stability,
localization
organisms.
Language: Английский
RiboGraph: an interactive visualization system for ribosome profiling data at read length resolution
Jonathan Chacko,
No information about this author
Hakan Özadam,
No information about this author
Can Cenik
No information about this author
et al.
Bioinformatics,
Journal Year:
2024,
Volume and Issue:
40(6)
Published: June 1, 2024
Abstract
Motivation
Ribosome
profiling
is
a
widely-used
technique
for
measuring
ribosome
occupancy
at
nucleotide
resolution.
However,
the
need
to
analyze
this
data
resolution
introduces
unique
challenges
in
visualization
and
analyses.
Results
In
study,
we
introduce
RiboGraph,
dedicated
tool
designed
work
with
.ribo
files,
specialized
efficient
format
data.
Unlike
existing
solutions
that
rely
on
large
alignment
files
time-consuming
preprocessing
steps,
RiboGraph
operates
purpose
compact
file
type.
This
efficiency
allows
interactive,
real-time
ribosome-protected
fragment
length
By
providing
an
integrated
toolset,
empowers
researchers
conduct
comprehensive
visual
analysis
of
Availability
implementation
Source
code,
step-by-step
installation
instructions
links
documentation
are
available
GitHub:
https://github.com/ribosomeprofiling/ribograph.
On
same
page,
provide
test
tutorial
highlighting
key
features
RiboGraph.
Language: Английский
Nanodynamo quantifies subcellular RNA dynamics revealing extensive coupling between steps of the RNA life cycle
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Sept. 4, 2024
Language: Английский
Metabolism-dependent secondary effect of anti-MAPK cancer therapy on DNA repair
Fabien Aubé,
No information about this author
Nicolas Fontrodona,
No information about this author
Laura Guiguettaz
No information about this author
et al.
NAR Cancer,
Journal Year:
2024,
Volume and Issue:
6(2)
Published: April 8, 2024
Amino
acid
bioavailability
impacts
mRNA
translation
in
a
codon-dependent
manner.
Here,
we
report
that
the
anti-cancer
MAPK
inhibitors
(MAPKi)
decrease
intracellular
concentration
of
aspartate
and
glutamate
melanoma
cells.
This
coincides
with
accumulation
ribosomes
on
codons
corresponding
to
these
amino
acids
triggers
translation-dependent
degradation
mRNAs
encoding
aspartate-
glutamate-rich
proteins,
involved
DNA
metabolism
such
as
replication
repair.
Consequently,
cells
survive
MAPKi
degrade
likely
generate
energy,
which
simultaneously
decreases
their
requirement
for
due
downregulation
proteins
cell
proliferation.
Concomitantly,
repair
increases
damage
loads.
Thus,
defects,
therefore
mutations,
are
at
least
part
secondary
effect
metabolic
adaptation
exposed
MAPKi.
Language: Английский
Single molecule imaging of transcription dynamics, RNA localization and fate in T cells
Maria Valeria Lattanzio,
No information about this author
Nikolina Šoštarić,
No information about this author
Nandhini Kanagasabesan
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 11, 2024
Abstract
T
cells
are
critical
effector
against
infections
and
malignancies.
To
achieve
this,
they
produce
pro-inflammatory
cytokines,
including
IFN-γ
TNF.
Cytokine
production
is
a
tightly
regulated
process.
The
relative
contribution
of
transcriptional
post-transcriptional
regulation
to
mRNA
expression
is,
however,
unknown.
We
therefore
implemented
single-molecule
FISH
for
primary
human
(T-cell
smFISH)
simultaneously
quantify
nascent
RNA,
mature
levels
its
localization
with
single-cell
resolution.
T-cell
smFISH
uncovered
heterogeneous
cytokine
levels,
high
producers
displaying
dual
IFNG
/
TNF
RNA
transcription
activity.
Throughout
activation,
nuclear
mRNAs
accumulated,
whereas
cytoplasmic
was
degraded
through
translation-dependent
decay.
Lastly,
cytokine-specific
by
the
RNA-binding
protein
HuR.
Thus,
provides
novel
insights
in
intricate
(post)-transcriptional
processes
cells.
Language: Английский