Toward understanding lipid reorganization in RNA lipid nanoparticles in acidic environments
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(45)
Published: Oct. 30, 2024
The
use
of
lipid
nanoparticles
(LNPs)
for
therapeutic
RNA
delivery
has
gained
significant
interest,
particularly
highlighted
by
recent
milestones
such
as
the
approval
Onpattro
and
two
mRNA-based
SARS-CoV-2
vaccines.
However,
despite
substantial
advancements
in
this
field,
our
understanding
structure
internal
organization
RNA-LNPs
-and
their
relationship
to
efficacy,
both
vitro
vivo-
remains
limited.
In
study,
we
present
a
coarse-grained
molecular
dynamics
(MD)
approach
that
allows
simulations
full-size
LNPs.
By
analyzing
MD-derived
structural
characteristics
conjunction
with
cellular
experiments,
investigate
effect
critical
parameters,
pH
composition,
on
LNP
potency.
Additionally,
examine
mobility
chemical
environment
within
LNPs
at
level.
Our
findings
highlight
impact
composition
can
have
key
stages
LNP-based
intracellular
delivery.
Language: Английский
Medium-chain fatty acids and monoglycerides: Nanoarchitectonics-based insights into molecular self-assembly, membrane interactions, and applications
Advances in Colloid and Interface Science,
Journal Year:
2025,
Volume and Issue:
340, P. 103465 - 103465
Published: March 1, 2025
Language: Английский
Fast and reliable probabilistic reflectometry inversion with prior-amortized neural posterior estimation
Science Advances,
Journal Year:
2025,
Volume and Issue:
11(11)
Published: March 14, 2025
Reconstructing
the
structure
of
thin
films
and
multilayers
from
measurements
scattered
x-rays
or
neutrons
is
key
to
progress
in
physics,
chemistry,
biology.
However,
finding
all
structures
compatible
with
reflectometry
data
computationally
prohibitive
for
standard
algorithms,
which
typically
results
unreliable
analysis
only
a
single
potential
solution
identified.
We
address
this
lack
reliability
probabilistic
deep
learning
method
that
identifies
realistic
seconds,
redefining
standards
reflectometry.
Our
method,
prior-amortized
neural
posterior
estimation
(PANPE),
combines
simulation-based
inference
adaptive
priors
inform
network
about
known
structural
properties
controllable
experimental
conditions.
PANPE
networks
support
scenarios
such
as
high-throughput
sample
characterization,
real-time
monitoring
evolving
structures,
corefinement
several
datasets
can
be
adapted
provide
fast,
reliable,
flexible
across
many
other
inverse
problems.
Language: Английский
Single-Particle Adsorption of Ultra-Small Gold Nanoparticles at the Biomembrane Phase Boundary
Colloids and Surfaces B Biointerfaces,
Journal Year:
2025,
Volume and Issue:
253, P. 114734 - 114734
Published: April 24, 2025
Language: Английский
Advancements in Engineering Planar Model Cell Membranes: Current Techniques, Applications, and Future Perspectives
Sara Coronado,
No information about this author
Johan Herrera,
No information about this author
María Graciela Pino
No information about this author
et al.
Nanomaterials,
Journal Year:
2024,
Volume and Issue:
14(18), P. 1489 - 1489
Published: Sept. 13, 2024
Cell
membranes
are
crucial
elements
in
living
organisms,
serving
as
protective
barriers
and
providing
structural
support
for
cells.
They
regulate
numerous
exchange
communication
processes
between
cells
their
environment,
including
interactions
with
other
cells,
tissues,
ions,
xenobiotics,
drugs.
However,
the
complexity
heterogeneity
of
cell
membranes-comprising
two
asymmetric
layers
varying
compositions
across
different
types
states
(e.g.,
healthy
vs.
diseased)-along
challenges
manipulating
real
represent
significant
obstacles
vivo
studies.
To
address
these
challenges,
researchers
have
developed
various
methodologies
to
create
model
or
membrane
fragments,
mono-
bilayers
organized
planar
systems.
These
models
facilitate
fundamental
studies
on
component
well
components
external
agents,
such
drugs,
nanoparticles
(NPs),
biomarkers.
The
applications
extended
beyond
basic
research,
encompassing
areas
biosensing
nanoparticle
camouflage
evade
immune
detection.
In
this
review,
we
highlight
advancements
engineering
membranes,
focusing
nanoarchitectonic
tools
used
fabrication.
We
also
discuss
approaches
incorporating
challenging
materials,
proteins
enzymes,
into
models.
Finally,
present
our
view
future
perspectives
field
membranes.
Language: Английский
One‐Pot Synthesis of [(l‐GluA)‐b‐(PCL)]‐Based Diblock Copolymer and Solvent‐Assisted Multifaceted Capsules as Potential Cargo Payload for Nanomedicines
Chander Amgoth,
No information about this author
Raju Bura,
No information about this author
David Xu Luo
No information about this author
et al.
ChemistrySelect,
Journal Year:
2024,
Volume and Issue:
9(41)
Published: Oct. 28, 2024
Abstract
This
study
shows
that
the
synthesis
of
di‐BCP
between
amino
acid
l
‐glutamic
(
‐GluA)
and
hydrophobic
polycaprolactone
(PCL)
leads
to
multifunctional
multifaceted
capsule
formation
with
different
dispersion
solvents.
Successful
[(
‐GluA)‐b‐(PCL)]
was
confirmed
by
using
FTIR
1H
NMR
characterizations.
For
morphological
studies,
synthesized
‐GluA)‐
b
‐(PCL)]
dispersed
in
four
solvents
such
as
acetone,
DMSO,
IPA,
ethanol
used
for
sample
preparation
SEM
imaging.
Interestingly,
smooth‐surfaced
NPs
(defined
type
I
NPs),
rough‐surfaced
(type
II
porous
III
football‐type
deep
excavation
having
IV
NPs).
Furthermore,
these
were
characterized
through
BET,
AFM,
DLS
particle
size
ζ
potential
NPs.
LC
types
calculated
be
1.96%
±
0.01%
1.92%
0.01%,
respectively.
EE
91%
1.5%
94%
1.2%.
We
K562
(leukemia
blood
cancer)
HEK293
(embryonic
kidney)
cells
vitro
studies.
DOX@[(
nanoformulation
related
significant
early
apoptosis
is,
29.17%,
which
is
a
remarkable
programmed
cell
death
nanoparticles.
Language: Английский