Cells,
Год журнала:
2024,
Номер
13(21), С. 1759 - 1759
Опубликована: Окт. 24, 2024
Transcriptional
regulation,
orchestrated
by
the
interplay
between
transcription
factors
(TFs)
and
enhancers,
governs
gene
expression
dynamics
crucial
for
cellular
processes.
While
gross
qualitative
fluctuations
in
factor-dependent
patterning
have
a
long
history
of
characterization,
roles
these
nuclei
retaining
presence
or
absence
are
now
observable
using
modern
techniques.
Our
study
investigates
impact
Suppressor
Hairless
(Su(H)),
broadly
expressed
factor,
on
enhancer-driven
transcriptional
modulation
Current Opinion in Genetics & Development,
Год журнала:
2025,
Номер
92, С. 102328 - 102328
Опубликована: Март 12, 2025
The
development
of
multicellular
organisms
relies
on
the
precise
coordination
molecular
events
across
multiple
spatial
and
temporal
scales.
Understanding
how
information
flows
from
interactions
to
cellular
processes
tissue
organization
during
is
crucial
for
explaining
remarkable
reproducibility
complex
organisms.
This
review
explores
chromatin-encoded
transduced
localized
transcriptional
global
gene
expression
patterns,
highlighting
challenge
bridging
these
We
discuss
recent
experimental
findings
theoretical
frameworks,
emphasizing
polymer
physics
as
a
tool
describing
relationship
between
chromatin
structure
dynamics
By
integrating
perspectives,
we
aim
clarify
regulation
coordinated
levels
biological
suggest
strategies
future
approaches.
Current Opinion in Genetics & Development,
Год журнала:
2025,
Номер
92, С. 102344 - 102344
Опубликована: Апрель 7, 2025
During
the
oocyte-to-embryo
transition,
transcriptome
and
proteome
are
dramatically
reshaped.
This
transition
entails
a
shift
from
maternally
inherited
mRNAs
to
newly
synthesized
transcripts,
produced
during
zygotic
genome
activation
(ZGA).
Furthermore,
crucial
transcription
translation
selectivity
is
required
for
early
embryonic
development.
Studies
across
various
model
organisms
have
revealed
conserved
cis-
trans-regulatory
mechanisms
dictating
regimes
by
which
mRNA
proteins
this
critical
phase.
In
article,
we
highlight
recent
technological
conceptual
advances
that
deepen
our
understanding
of
how
tuning
both
evolves
ZGA.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Март 20, 2023
Advances
in
single-cell
and
-nucleus
transcriptomics
have
enabled
generation
of
increasingly
large-scale
datasets
from
hundreds
subjects
millions
cells.
These
studies
promise
to
give
unprecedented
insight
into
the
cell
type
specific
biology
human
disease.
Yet
performing
differential
expression
analyses
across
remains
difficult
due
challenges
statistical
modeling
these
complex
scaling
large
datasets.
Our
open-source
R
package
dreamlet
(DiseaseNeurogenomics.github.io/dreamlet)
uses
a
pseudobulk
approach
based
on
precision-weighted
linear
mixed
models
identify
genes
differentially
expressed
with
traits
for
each
cluster.
Designed
data
cohorts,
is
substantially
faster
less
memory
than
existing
workflows,
while
supporting
controlling
false
positive
rate.
We
demonstrate
computational
performance
published
datasets,
novel
dataset
1.4M
single
nuclei
postmortem
brains
150
Alzheimer's
disease
cases
149
controls.
Current Opinion in Structural Biology,
Год журнала:
2024,
Номер
88, С. 102875 - 102875
Опубликована: Июль 10, 2024
Pioneering
transcription
factors
(TFs)
can
drive
cell
fate
changes
by
binding
their
DNA
motifs
in
a
repressive
chromatin
environment.
Recent
structures
illustrate
emerging
rules
for
nucleosome
engagement:
TFs
distort
the
nucleosomal
to
gain
access
or
employ
alternative
DNA-binding
modes
with
smaller
footprints,
they
preferentially
solvent-exposed
near
entry/exit
sites,
and
frequently
interact
histones.
The
extent
of
TF-histone
interactions,
turn,
depends
on
motif
location
nucleosome,
type
fold,
adjacent
domains
present.
interactions
phase
TF
relative
nucleosomes,
we
discuss
how
these
complex
surprisingly
diverse
between
nucleosomes
contribute
function.
ABSTRACT
This
Review
elucidates
the
regulatory
principles
of
random
monoallelic
expression
by
focusing
on
two
well-studied
examples:
X-chromosome
inactivation
regulator
Xist
and
olfactory
receptor
gene
family.
Although
choice
a
single
X
chromosome
or
occurs
in
different
developmental
contexts,
common
guide
both
systems.
In
cases,
an
event
breaks
symmetry
between
genetically
epigenetically
identical
copies
gene,
leading
to
one
allele,
stabilized
through
negative
feedback
control.
many
steps
that
govern
establishment
maintenance
have
been
identified,
key
pieces
puzzle
are
still
missing.
We
provide
overview
current
knowledge
models
for
receptors.
discuss
their
similarities
differences,
highlight
open
questions
approaches
could
study
other
monoallelically
expressed
genes.
Molecular Systems Biology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 31, 2025
Abstract
The
general
transcription
machinery
and
its
occupancy
at
promoters
are
highly
conserved
across
metazoans.
This
contrasts
with
the
kinetics
of
mRNA
production
that
considerably
differ
between
model
species
such
as
Drosophila
mouse.
molecular
basis
for
these
kinetic
differences
is
currently
unknown.
Here,
we
used
Single-Molecule
Footprinting
to
measure
RNA
Polymerase
II
(Pol
II)
occupancy,
fraction
DNA
molecules
bound,
in
mouse
cell
lines.
Single-molecule
data
reveals
Pol
on
average
3–5
times
more
frequent
transcriptionally
active
than
promoters.
Kinetic
modelling
states
suggests
determined
by
ratio
initiation
turnover
rates.
We
chemical
perturbation
determine
rate
both
species.
Integration
into
shows
infrequent
explained
combination
high
low
Developmental
programming
involves
the
accurate
conversion
of
signalling
levels
and
dynamics
to
transcriptional
outputs.
The
relay
in
Notch
pathway
relies
on
nuclear
complexes
containing
co-activator
Mastermind
(Mam).
By
tracking
these
real
time,
we
reveal
that
they
promote
formation
a
dynamic
transcription
hub
ON
nuclei
which
concentrates
key
factors
including
Mediator
CDK
module.
composition
is
labile
persists
after
withdrawal
conferring
memory
enables
rapid
reformation.
Surprisingly,
only
third
hubs
progress
state
with
nascent
transcription,
correlates
polymerase
II
core
recruitment.
This
probability
increased
by
second
signal.
discovery
target-gene
probabilistic
has
far-reaching
implications
because
it
implies
stochastic
differences
output
can
arise
downstream
receptor
activation.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 3, 2024
ABSTRACT
The
functional
role
of
weak
DNA
binding
sites
for
transcription
factor
(TF)
recruitment
and
gene
expression
remains
largely
unknown.
Our
study
reveals
that
the
NF-κB
sites,
which
are
abundant
in
promoters
enhancers,
appear
clusters
exhibit
minimal
to
undetectable
activity
isolation
vitro,
yet
they
play
prominent
roles
regulation
within
native
context
cells.
We
found
nuclear
concentration
RelA/p65,
predominant
NF-κB,
is
approximately
0.2
µM
stimulated
cells,
challenging
idea
these
κB
operate
through
mass
action-dependent
mechanisms.
Through
proteomic
analysis,
we
identified
a
range
factors,
including
various
other
TFs,
interacting
with
RelA
at
κB-sites.
ChIP-seq,
RNA-seq
phase-separated
condensation
analyses
suggest
additional
referred
as
cofactors
facilitate
dynamic
clustered
specific
target
genes.
Overall,
our
findings
demonstrate
collective
contribution
both
strong
occupancy
facilitated
by
variety
cofactors.
This
congregation
multiple
factors
forming
larger
complexes
appearing
condensate
likely
be
common
all
transcriptional
programs.
The Journal of Physical Chemistry Letters,
Год журнала:
2024,
Номер
15(34), С. 8781 - 8789
Опубликована: Авг. 20, 2024
Transcription
is
a
fundamental
biological
process
of
transferring
genetic
information
which
often
occurs
in
stochastic
bursts
when
periods
intense
activity
alternate
with
quiescent
phases.
Recent
experiments
identified
strong
correlations
between
the
association
transcription
factors
(TFs)
to
gene
promoters
on
DNA
and
transcriptional
activity.
However,
underlying
molecular
mechanisms
this
phenomenon
remain
not
well
understood.
Here,
we
present
theoretical
framework
that
allowed
us
investigate
how
binding
dynamics
TF
influences
bursting.
Our
minimal
model
incorporates
most
relevant
physical-chemical
features,
including
exchange
among
multiple
sites
at
association/dissociation
dynamics.
Using
analytical
calculations
supported
by
Monte
Carlo
computer
simulations,
it
demonstrated
bursting
depends
strength
number
sites.
Stronger
affinity
prolongs
burst
duration
but
reduces
variability,
while
an
optimal
maximizes
noise,
facilitating
cellular
adaptation.
method
explains
available
experimental
observations
quantitatively,
confirming
model's
predictive
accuracy.
This
study
provides
important
insights
into
expression
regulation,
offering
new
tool
for
understanding
complex
processes.