The
heterochromatin
protein
1
(HP1)
family
is
a
crucial
component
of
with
diverse
functions
in
gene
regulation,
cell
cycle
control,
and
differentiation.
In
humans,
there
are
three
paralogs,
HP1α,
HP1β,
HP1γ,
which
exhibit
remarkable
similarities
their
domain
architecture
sequence
properties.
Nevertheless,
these
paralogs
display
distinct
behaviors
liquid-liquid
phase
separation
(LLPS),
process
linked
to
formation.
Here,
we
employ
coarse-grained
simulation
framework
uncover
the
features
responsible
for
observed
differences
LLPS.
We
highlight
significance
net
charge
patterning
along
governing
paralog
LLPS
propensities.
also
show
that
both
highly
conserved
folded
less-conserved
disordered
domains
contribute
differences.
Furthermore,
explore
potential
co-localization
different
HP1
multicomponent
assemblies
impact
DNA
on
this
process.
Importantly,
our
study
reveals
can
significantly
reshape
stability
minimal
condensate
formed
by
due
competitive
interactions
HP1α
HP1β
HP1γ
versus
DNA.
conclusion,
work
highlights
physicochemical
nature
govern
phase-separation
provides
molecular
understanding
role
chromatin
organization.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: March 1, 2024
Abstract
Material
properties
of
phase-separated
biomolecular
condensates,
enriched
with
disordered
proteins,
dictate
many
cellular
functions.
Contrary
to
the
progress
made
in
understanding
sequence-dependent
phase
separation
little
is
known
about
sequence
determinants
condensate
material
properties.
Using
hydropathy
scale
and
Martini
models,
we
computationally
decipher
these
relationships
for
charge-rich
protein
condensates.
Our
computations
yield
dynamical,
rheological,
interfacial
condensates
that
are
quantitatively
comparable
experimentally
characterized
Interestingly,
find
model
natural
proteins
respond
similarly
charge
segregation,
despite
different
compositions.
Molecular
interactions
within
closely
resemble
those
single-chain
ensembles.
Consequently,
strongly
correlate
molecular
contact
dynamics
structural
We
demonstrate
potential
harness
characteristics
predicting
engineering
functional
insights
from
dilute
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(2)
Published: Jan. 3, 2023
Biomolecular
condensates
formed
via
phase
separation
of
proteins
and
nucleic
acids
are
thought
to
perform
a
wide
range
critical
cellular
functions
by
maintaining
spatiotemporal
regulation
organizing
intracellular
biochemistry.
However,
aberrant
transitions
implicated
in
multitude
human
diseases.
Here,
we
demonstrate
that
two
neuronal
proteins,
namely
tau
prion,
undergo
complex
coacervation
driven
domain-specific
electrostatic
interactions
yield
highly
dynamic,
mesoscopic
liquid-like
droplets.
The
acidic
N-terminal
segment
interacts
electrostatically
with
the
polybasic
intrinsically
disordered
prion
protein
(PrP).
We
employed
unique
combination
time-resolved
tools
encompass
several
orders
magnitude
timescales
ranging
from
nanoseconds
seconds.
These
studies
unveil
an
intriguing
symphony
molecular
events
associated
formation
heterotypic
comprising
ephemeral,
domain-specific,
short-range
nanoclusters.
Our
results
reveal
these
can
be
tuned
RNA
stoichiometry-dependent
manner
resulting
reversible,
multiphasic,
immiscible,
ternary
different
morphologies
core-shell
nested
This
system
exhibits
typical
three-regime
behavior
reminiscent
other
membraneless
organelles
including
nucleolar
condensates.
also
show
upon
aging,
tau:PrP
droplets
gradually
convert
into
solid-like
co-assemblies
sequestration
persistent
intermolecular
interactions.
vibrational
Raman
conjunction
atomic
force
microscopy
multi-color
fluorescence
imaging
presence
amorphous
amyloid-like
co-aggregates
maturation.
findings
provide
mechanistic
underpinnings
overlapping
neuropathology
involving
PrP
highlight
broader
biological
role
physiology
disease.
The Journal of Physical Chemistry B,
Journal Year:
2022,
Volume and Issue:
126(45), P. 9222 - 9245
Published: Nov. 7, 2022
A
theory
for
sequence-dependent
liquid–liquid
phase
separation
(LLPS)
of
intrinsically
disordered
proteins
(IDPs)
in
the
study
biomolecular
condensates
is
formulated
by
extending
random
approximation
(RPA)
and
field-theoretic
simulation
(FTS)
heteropolymers
with
spatially
long-range
Coulomb
interactions
to
include
fundamental
effects
short-range,
hydrophobic-like
between
amino
acid
residues.
To
this
end,
short-range
are
modeled
Yukawa
multiple
nonelectrostatic
charges
derived
from
an
eigenvalue
decomposition
pairwise
residue–residue
contact
energies.
Chain
excluded
volume
afforded
incompressibility
constraints.
mean-field
leads
effective
Flory−Huggins
χ
parameter,
which,
conjunction
RPA,
accounts
contact-interaction
composition
sequence-pattern
electrostatics
IDP
LLPS,
whereas
FTS
based
on
formulation
provides
full
sequence
dependence
both
short-
interactions.
This
general
approach
illustrated
here
applications
variants
a
natural
context
several
different
amino-acid
interaction
schemes
as
well
set
model
hydrophobic-polar
sequences
sharing
same
composition.
Effectiveness
methodology
verified
coarse-grained
explicit-chain
molecular
dynamics
simulations.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(34)
Published: Aug. 14, 2023
TAR
DNA-binding
protein
43
(TDP-43)
is
involved
in
key
processes
RNA
metabolism
and
frequently
implicated
many
neurodegenerative
diseases,
including
amyotrophic
lateral
sclerosis
frontotemporal
dementia.
The
prion-like,
disordered
C-terminal
domain
(CTD)
of
TDP-43
aggregation-prone,
can
undergo
liquid-liquid
phase
separation
(LLPS)
isolation,
critical
for
(PS)
the
full-length
under
physiological
conditions.
While
a
short
conserved
helical
region
(CR,
spanning
residues
319-341)
promotes
oligomerization
essential
LLPS,
aromatic
flanking
regions
(QN-rich,
IDR1/2)
are
also
found
to
play
role
PS
aggregation.
Compared
with
other
phase-separating
proteins,
CTD
has
notably
distinct
sequence
composition
aliphatic
such
as
methionine
leucine.
Aliphatic
were
previously
suggested
modulate
apparent
viscosity
resulting
phases,
but
their
direct
contribution
toward
been
relatively
ignored.
Using
multiscale
simulations
coupled
vitro
saturation
concentration
(csat)
measurements,
we
identified
importance
while
suggesting
an
promoting
single-chain
compaction
LLPS.
Surprisingly,
NMR
experiments
showed
that
transient
interactions
involving
phenylalanine
directly
enhance
site-specific,
CR-mediated
intermolecular
association.
Overall,
our
work
highlights
underappreciated
mode
biomolecular
recognition,
wherein
both
site-specific
hydrophobic
act
synergistically
drive
disordered,
low-complexity
domain.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: March 3, 2023
Abstract
Understanding
the
relationship
between
an
amino
acid
sequence
and
its
phase
separation
has
important
implications
for
analyzing
cellular
function,
treating
disease,
designing
novel
biomaterials.
Several
features
have
been
identified
as
drivers
protein
liquid-liquid
(LLPS),
leading
to
development
of
a
“molecular
grammar”
LLPS.
In
this
work,
we
further
probed
how
modulates
material
properties
resulting
condensates.
Specifically,
used
model
intrinsically
disordered
polypeptide
composed
8-residue
repeat
unit
performed
systematic
manipulations
targeting
previously
overlooked
in
literature.
We
generated
sequences
with
no
charged
residues,
high
net
charge,
glycine
or
devoid
aromatic
arginine
residues.
report
that
all
but
one
twelve
variants
designed
undergo
LLPS,
albeit
different
extents,
despite
significant
differences
composition.
These
results
support
hypothesis
multiple
interactions
diverse
residue
pairs
work
tandem
drive
separation.
Molecular
simulations
paint
picture
underlying
molecular
details
involving
various
atomic
mediated
by
not
just
handful
types,
most
characterized
changes
inter-residue
contacts
variants,
thereby
developing
more
complete
understanding
contributions
such
hydrophobicity,
aromaticity
Further,
find
condensates
formed
behave
like
viscous
fluids,
large
their
viscosities.
The
presented
study
significantly
advance
current
sequence-phase
behavior
sequence-material
relationships
help
interpret,
model,
design
assembly.
The Journal of Physical Chemistry B,
Journal Year:
2023,
Volume and Issue:
127(17), P. 3829 - 3838
Published: April 20, 2023
Interaction
strength
and
localization
are
critical
parameters
controlling
the
single-chain
condensed-state
properties
of
intrinsically
disordered
proteins
(IDPs).
Here,
we
decipher
these
relationships
using
coarse-grained
heteropolymers
comprised
hydrophobic
(H)
polar
(P)
monomers
as
model
IDPs.
We
systematically
vary
fraction
P
XP
employ
two
distinct
particle-based
models
that
include
either
strong
localized
attractions
between
only
H–H
pairs
(HP
model)
or
weak
distributed
both
H–P
(HP+
model).
To
compare
different
sequences
models,
first
carefully
tune
attraction
for
all
to
match
radius
gyration.
Interestingly,
find
this
procedure
produces
similar
conformational
ensembles,
nonbonded
potential
energies,
chain-level
dynamics
single
chains
almost
in
with
some
deviations
HP
at
large
XP.
However,
observe
a
surprisingly
rich
phase
behavior
deviates
from
expectation
similarity
level
will
translate
phase-separation
propensity.
Coexistence
dilute
dense
phases
is
observed
up
model-dependent
XP,
despite
presence
favorable
interchain
interactions,
which
quantify
second
virial
coefficient.
Instead,
limited
number
attractive
sites
(H
monomers)
leads
self-assembly
finite-sized
clusters
sizes
depending
on
Our
findings
strongly
suggest
interactions
favor
formation
liquid-like
condensates
over
much
larger
range
sequence
compositions
compared
interactions.
Biophysical Journal,
Journal Year:
2023,
Volume and Issue:
122(22), P. 4370 - 4381
Published: Oct. 17, 2023
The
RNA-binding
protein
TDP-43
is
associated
with
mRNA
processing
and
transport
from
the
nucleus
to
cytoplasm.
localizes
in
as
well
accumulating
cytoplasmic
condensates
such
stress
granules.
Aggregation
formation
of
amyloid-like
fibrils
are
hallmarks
numerous
neurodegenerative
diseases,
most
strikingly
present
>90%
amyotrophic
lateral
sclerosis
(ALS)
patients.
If
excessive
accumulation
causes,
or
caused
by,
neurodegeneration
presently
not
known.
In
this
work,
we
use
molecular
dynamics
simulations
at
multiple
resolutions
explore
self-
cross-interaction
dynamics.
A
full-length
model
TDP-43,
all
414
amino
acids,
was
constructed
select
structures
functional
domains
(N-terminal
domain,
two
RNA
recognition
motifs,
RRM1
RRM2)
modeling
disordered
connecting
loops
low
complexity
glycine-rich
C-terminus
domain.
All-atom
CHARMM36m
single
proteins
served
guides
construct
a
coarse-grained
Martini
3
TDP-43.
coarser
implicit
solvent
C⍺
model,
optimized
for
proteins,
were
subsequently
used
probe
interactions;
self-interactions
single-chain
simulations,
cross-interactions
assemblies
dozens
hundreds
proteins.
Our
findings
illustrate
utility
different
scales
accessing
molecular-level
interactions
suggest
that
has
interaction
preferences
patterns,
exhibiting
an
overall
strong,
but
dynamic,
association
driving
biomolecular
condensates.
ACS Macro Letters,
Journal Year:
2023,
Volume and Issue:
12(11), P. 1472 - 1478
Published: Oct. 19, 2023
Polymer
models
serve
as
useful
tools
for
studying
the
formation
and
physical
properties
of
biomolecular
condensates.
In
recent
years,
interface
dividing
dense
dilute
phases
condensates
has
been
discovered
to
be
closely
related
their
functionality,
but
conformational
preferences
constituent
proteins
remain
unclear.
To
elucidate
this,
we
perform
molecular
simulations
a
droplet
formed
by
phase
separation
homopolymers
surrogate
model
prion-like
low-complexity
domains.
By
systematically
analyzing
polymer
conformations
at
different
locations
in
droplet,
find
that
chains
become
compact
compared
with
interior.
Further,
segmental
analysis
revealed
end
sections
are
enriched
maximize
entropy
more
expanded
than
middle
chains.
We
majority
chain
segments
lie
tangential
surface,
only
ends
tend
align
perpendicular
interface.
These
trends
also
hold
natural
FUS
LC
LAF-1
RGG,
which
exhibit
Our
findings
provide
important
insights
into
interfacial
highlight
value
using
simple
physics
understand
underlying
mechanisms.