The Journal of Physical Chemistry Letters,
Journal Year:
2024,
Volume and Issue:
15(34), P. 8781 - 8789
Published: Aug. 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.
Abstract
Chromosome
conformation
in
mammals
is
closely
related
to
gene
regulation.
Within
topologically
associating
domains,
where
genomic
contacts
are
enriched,
genes
tend
show
correlated
expression
across
tissues
and
conditions,
suggesting
domain-wide
mechanisms
coregulating
multiple
genes,
such
as
enhancer
sharing
or
local
histone
mark
spreading.
At
the
single-cell
level,
transcription
occurs
sporadic
bursts,
transcriptional
coordination
has
been
observed
between
proximal
but
how
folding
of
mammalian
chromosomes
influences
coregulation
cis
at
individual
alleles
remains
unclear.
Using
single-molecule
microscopy,
we
imaged
nascent
from
three
adjacent
located
around
a
strong
contact
insulation
site
FOS
locus,
during
estrogen
response
human
breast
cancer
cells.
To
interpret
this
data,
developed
two
new
analysis
approaches
dissect
sources
(co)variation
activities:
one
separate
allele-extrinsic,
allele-intrinsic,
gene-autonomous
components;
another
quantify
contributions
burst
co-occurrence
size
correlations.
We
find
that
variability
largely
gene-autonomous,
yet
correlations
display
distinct
patterns
occur
almost
exclusively
cis.
Correlations
stronger
less
insulated
genes.
However,
unexpectedly,
substantial
also
and,
under
certain
on
same
side
can
exhibit
uncorrelated
occurrences.
By
disentangling
correlations,
reveal
coregulatory
influenced
by
chromosome
folding.
Abstract
Chromosome
conformation
in
mammals
is
closely
related
to
gene
regulation.
Within
topologically
associating
domains,
where
genomic
contacts
are
enriched,
genes
tend
show
correlated
expression
across
tissues
and
conditions,
suggesting
domain-wide
mechanisms
coregulating
multiple
genes,
such
as
enhancer
sharing
or
local
histone
mark
spreading.
At
the
single-cell
level,
transcription
occurs
sporadic
bursts,
transcriptional
coordination
has
been
observed
between
proximal
but
how
folding
of
mammalian
chromosomes
influences
coregulation
cis
at
individual
alleles
remains
unclear.
Using
single-molecule
microscopy,
we
imaged
nascent
from
three
adjacent
located
around
a
strong
contact
insulation
site
FOS
locus,
during
estrogen
response
human
breast
cancer
cells.
To
interpret
this
data,
developed
two
new
analysis
approaches
dissect
sources
(co)variation
activities:
one
separate
allele-extrinsic,
allele-intrinsic,
gene-autonomous
components;
another
quantify
contributions
burst
co-occurrence
size
correlations.
We
find
that
variability
largely
gene-autonomous,
yet
correlations
display
distinct
patterns
occur
almost
exclusively
cis.
Correlations
stronger
less
insulated
genes.
However,
unexpectedly,
substantial
also
and,
under
certain
on
same
side
can
exhibit
uncorrelated
occurrences.
By
disentangling
correlations,
reveal
coregulatory
influenced
by
chromosome
folding.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(28)
Published: July 5, 2024
Transcription
has
a
mechanical
component,
as
the
translocation
of
transcription
machinery
or
RNA
polymerase
(RNAP)
on
DNA
chromatin
is
dynamically
coupled
to
torsion.
This
posits
mechanics
possible
regulator
eukaryotic
transcription,
however,
modes
and
mechanisms
this
regulation
are
elusive.
Here,
we
first
take
statistical
approach
model
torsional
response
topology-constrained
chromatin.
Our
recapitulates
experimentally
observed
weaker
stiffness
compared
bare
proposes
structural
transitions
nucleosomes
into
chirally
distinct
states
driver
contrasting
mechanics.
Coupling
with
RNAP
in
stochastic
simulations,
reveal
complex
interplay
supercoiling
nucleosome
dynamics
governing
velocity.
Nucleosomes
play
dual
role
controlling
dynamics.
The
steric
barrier
aspect
gene
body
counteracts
via
hindering
motion,
whereas
chiral
facilitate
motion
driving
low
restoring
torque
upon
twisting
DNA.
While
dissociation
rates
typically
transcriptionally
repressive,
highly
dynamic
offer
less
enhance
elongation
weakly
transcribed
genes
buffering
twist.
We
use
predict
transcription-dependent
levels
segments
budding
yeast
genome
that
accord
available
experimental
data.
unveils
paradigm
supercoiling-mediated
interaction
between
makes
testable
predictions
will
guide
design.
Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(8), P. 114593 - 114593
Published: Aug. 1, 2024
We
describe
a
time-resolved
nascent
single-cell
RNA
sequencing
(RNA-seq)
approach
that
measures
gene-specific
transcriptional
noise
and
the
fraction
of
active
genes
in
S.
cerevisiae.
Most
are
expressed
with
near-constitutive
behavior,
while
subset
show
high
mRNA
variance
suggestive
transcription
bursting.
Transcriptional
is
highest
cofactor/coactivator-redundant
(CR)
gene
class
(dependent
on
both
SAGA
TFIID)
strongest
TATA-containing
CR
genes.
Using
this
approach,
we
also
find
histone
switches
from
low-level,
low-noise
constitutive
mode
during
M
M/G1
to
an
activated
state
S
phase
shows
increase
promoters
switch
noisy
bursty
mode.
Rapid
depletion
cofactors
MED
Tail
indicates
factors
play
important
role
stimulating
at
genes,
more
modest
noise.
The Journal of Physical Chemistry Letters,
Journal Year:
2024,
Volume and Issue:
15(34), P. 8781 - 8789
Published: Aug. 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.