AI-driven precision subcellular navigation with fluorescent probes
Yingli Zhu,
No information about this author
Yanpeng Fang,
No information about this author
Wenzhi Huang
No information about this author
et al.
Journal of Materials Chemistry B,
Journal Year:
2024,
Volume and Issue:
12(43), P. 11054 - 11062
Published: Jan. 1, 2024
Precise
navigation
within
intricate
biological
systems
is
pivotal
for
comprehending
cellular
functions
and
diagnosing
diseases.
Fluorescent
molecular
probes,
designed
to
target
specific
molecules,
are
indispensable
tools
this
endeavor.
This
paper
delves
into
the
revolutionary
potential
of
artificial
intelligence
(AI)
in
crafting
highly
precise
effective
fluorescent
probes.
We
will
discuss
how
AI
can
be
employed
to:
design
new
subcellular
dyes
by
optimizing
physicochemical
properties;
prospective
targeting
probes
based
on
receptors;
quantitatively
explore
chemical
laws
molecules
optimize
optical
properties
probes;
comprehensive
probe
guide
construction
multifunctional
Additionally,
we
showcase
recent
AI-driven
advancements
development
their
successful
biomedical
applications,
while
addressing
challenges
outlining
future
directions
towards
transforming
research,
diagnostics,
drug
discovery.
Language: Английский
NeuM: A Neuron‐Selective Probe Incorporates into Live Neuronal Membranes via Enhanced Clathrin‐Mediated Endocytosis in Primary Neurons
Yoonsik Sung,
No information about this author
Lizaveta Gotina,
No information about this author
Kyu Hyeon Kim
No information about this author
et al.
Angewandte Chemie International Edition,
Journal Year:
2023,
Volume and Issue:
63(3)
Published: Dec. 8, 2023
The
development
of
a
small-molecule
probe
designed
to
selectively
target
neurons
would
enhance
the
exploration
intricate
neuronal
structures
and
functions.
Among
such
probes,
NeuO
stands
out
as
pioneer
has
gained
significant
traction
in
field
research.
Nevertheless,
neither
mechanism
behind
neuron-selectivity
nor
cellular
localization
been
determined.
Here,
we
introduce
NeuM,
derivative
NeuO,
cell
membranes.
Furthermore,
elucidate
selective
membrane
trafficking
that
distinguishes
neurons.
In
an
aqueous
buffer,
NeuM
autonomously
assembles
into
micellar
structures,
leading
quenching
its
fluorescence
(Φ=0.001).
Upon
exposure
neurons,
micelles
were
internalized
endosomes
via
clathrin-mediated
endocytosis.
Through
endocytic
recycling
pathway,
integrate
membrane,
dispersing
fluorescent
molecules
(Φ=0.61).
Molecular
dynamics
simulations
demonstrated
comparison
possesses
optimal
lipophilicity
molecular
length,
facilitating
stable
incorporation
phospholipid
layers.
integration
within
allows
prolonged
monitoring
well
visualization
structures.
Language: Английский
Fluorescent styrenes for mitochondrial imaging and viscosity sensing
Deepmala Singh,
No information about this author
Mohini Ghorpade,
No information about this author
Ramprasad Regar
No information about this author
et al.
Photochemistry and Photobiology,
Journal Year:
2024,
Volume and Issue:
100(4), P. 936 - 945
Published: Feb. 22, 2024
Abstract
Fluorophores
bearing
cationic
pendants,
such
as
the
pyridinium
group,
tend
to
preferentially
accumulate
in
mitochondria,
whereas
those
with
pentafluorophenyl
groups
display
a
distinct
affinity
for
endoplasmic
reticulum.
In
this
study,
we
designed
fluorophores
incorporating
and
pendants
examined
their
impact
on
sub‐cellular
localization.
Remarkably,
exhibited
notable
propensity
mitochondrial
membrane.
Furthermore,
these
revealed
dual
functionality
by
facilitating
detection
of
viscosity
changes
within
environment
serving
heavy‐atom‐free
photosensitizers.
With
easy
chemical
tunability,
wash‐free
imaging,
favorable
signal‐to‐noise
ratio,
are
valuable
tools
imaging
mitochondria
investigating
cellular
processes.
Language: Английский
Organelle‐Selective Probes
Young‐Tae Chang,
No information about this author
Nam‐Young Kang
No information about this author
Published: June 2, 2023
Cells
are
isolated
from
environment
through
a
phospholipid
bilayer.
Inside
cell,
there
many
small
compartments
segregated
by
membrane
structure,
so
called
organelles.
The
organelles
include
nucleus,
nucleolus,
ER,
Golgi,
mitochondria,
lysosome,
peroxisome
and
lipid
droplets.
free
space
in
the
cell
is
as
cytosol.
Selective
staining
of
each
organelle
essential
for
dissection
structure
monitoring
dynamic
changes
under
various
biological
condition.
design
property
selective
probes
discussed
full
details
organelle.
Above
intracellular
organelles,
scope
was
expanded
to
extracellular
vesicles
nonmembrane
bound
condensates.
behavior
compared
between
live
fixed
cells,
emphasizing
challenges
imaging.
Finally,
modeling
methods
were
at
end
chapter.
Language: Английский
NeuM: A Neuon‐Selective Probe Incorporates into Live Neuronal Membranes via Enhanced Cathrin‐Mediated Endocytosis in Primary Neurons.
Yoonsik Sung,
No information about this author
Lizaveta Gotina,
No information about this author
Kyu Hyeon Kim
No information about this author
et al.
Angewandte Chemie,
Journal Year:
2023,
Volume and Issue:
136(3)
Published: Dec. 8, 2023
Abstract
The
development
of
a
small‐molecule
probe
designed
to
selectively
target
neurons
would
enhance
the
exploration
intricate
neuronal
structures
and
functions.
Among
such
probes,
NeuO
stands
out
as
pioneer
has
gained
significant
traction
in
field
research.
Nevertheless,
neither
mechanism
behind
neuron‐selectivity
nor
cellular
localization
been
determined.
Here,
we
introduce
NeuM,
derivative
NeuO,
cell
membranes.
Furthermore,
elucidate
selective
membrane
trafficking
that
distinguishes
neurons.
In
an
aqueous
buffer,
NeuM
autonomously
assembles
into
micellar
structures,
leading
quenching
its
fluorescence
(Φ=0.001).
Upon
exposure
neurons,
micelles
were
internalized
endosomes
via
clathrin‐mediated
endocytosis.
Through
endocytic
recycling
pathway,
integrate
membrane,
dispersing
fluorescent
molecules
(Φ=0.61).
Molecular
dynamics
simulations
demonstrated
comparison
possesses
optimal
lipophilicity
molecular
length,
facilitating
stable
incorporation
phospholipid
layers.
integration
within
allows
prolonged
monitoring
well
visualization
structures.
Language: Английский