bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 29, 2024
The
glycan
sequencing
remains
a
significant
bottleneck
in
glycoscience.
While
nanopore
platforms
have
achieved
substantial
progress
single-molecule
nucleic
acid
sequencing,
their
application
to
has
faced
considerable
challenges,
with
limited
advancements
date.
In
this
study,
we
propose
novel
strategy
for
controlling
translocation
through
the
MspA
as
an
initial
step
toward
sequencing.
By
conjugating
target
helicase-controlled
single-stranded
DNA,
successfully
reads
of
up
eleven
glycans.
For
first
time,
isolated
glycan-associated
electrical
signals,
enabling
translocation,
stretching,
and
controlled
speed
neutral
glycans
nanopore.
This
method
provides
platform
obtaining
read
lengths
identifying
different
modifications,
demonstrating
capability
resolve
monosaccharide
composition
glycosidic
linkages.
To
further
improve
resolution,
engineered
M2-MspA
reduce
pore
constriction
size
enhance
precision
by
minimizing
random
thermal
motion
translocating
glycan.
These
modifications
are
expected
increase
accuracy
reliability.
work
represents
proof-of-concept
demonstration
chain
lays
promising
foundation
development
fingerprinting
technologies.
We
anticipate
that
approach
will
significantly
advance
commercialization
nanopore-based
techniques.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: June 17, 2024
Abstract
As
the
most
abundant
organic
substances
in
nature,
carbohydrates
are
essential
for
life.
Understanding
how
regulate
proteins
physiological
and
pathological
processes
presents
opportunities
to
address
crucial
biological
problems
develop
new
therapeutics.
However,
diversity
complexity
of
pose
a
challenge
experimentally
identifying
sites
where
bind
act
on
proteins.
Here,
we
introduce
deep
learning
model,
DeepGlycanSite,
capable
accurately
predicting
carbohydrate-binding
given
protein
structure.
Incorporating
geometric
evolutionary
features
into
equivariant
graph
neural
network
with
transformer
architecture,
DeepGlycanSite
remarkably
outperforms
previous
state-of-the-art
methods
effectively
predicts
binding
diverse
carbohydrates.
Integrating
mutagenesis
study,
reveals
guanosine-5’-diphosphate-sugar-recognition
site
an
important
G-protein
coupled
receptor.
These
findings
demonstrate
is
invaluable
prediction
could
provide
insights
molecular
mechanisms
underlying
carbohydrate-regulation
therapeutically
Chemical Science,
Journal Year:
2024,
Volume and Issue:
15(17), P. 6229 - 6243
Published: Jan. 1, 2024
This
perspective
outlines
three
potential
routes
for
nanopore-based
glycan
sequencing,
highlighting
their
applications
and
offering
insights
to
meet
associated
challenges.
It
also
introduces
the
concept
of
sequencer.
Biosensors,
Journal Year:
2025,
Volume and Issue:
15(1), P. 41 - 41
Published: Jan. 13, 2025
In
recent
years,
environmental
and
food
safety
have
garnered
substantial
focus
due
to
their
intimate
connection
with
human
health.
Numerous
biosensors
been
developed
for
identifying
deleterious
compounds;
however,
these
reveal
certain
limitations.
Nanopore
sensors,
featuring
nano-scaled
pore
size,
demonstrated
outstanding
performance
in
terms
of
rapidity,
sensitivity,
selectivity
as
a
single-molecule
technique
surveillance.
this
review,
we
present
comprehensive
overview
nanopore
applications
two
fields.
To
elucidate
the
pioneering
roles
nanopores,
analytes
are
categorized
into
three
distinct
groups,
including
metal
ions,
synthetic
contaminants,
biotoxins.
Moreover,
variety
strategies
involved,
such
coalescence
ligand
probes,
implementation
chemical
reactions,
functionalization
etc.
These
scientific
studies
showcase
versatility
diversity
technique,
paving
way
further
developments
technology
safety.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(36), P. 25155 - 25169
Published: Aug. 27, 2024
Steviol
glycosides
(SGs)
are
a
class
of
high-potency
noncalorie
natural
sweeteners
made
up
common
diterpenoid
core
and
varying
glycans.
Thus,
the
diversity
glycans
in
composition,
linkage,
isomerism
results
tremendous
structural
complexity
SG
family,
which
poses
challenges
for
precise
identification
leads
to
fact
that
SGs
frequently
used
mixtures
their
variances
biological
activity
remain
largely
unexplored.
Here
we
show
wild-type
aerolysin
nanopore
can
detect
discriminate
diverse
species
through
modulable
electro-osmotic
flow
effect
at
varied
applied
voltages.
At
low
voltages,
neutral
molecule
was
drawn
stuck
pore
entrance
due
an
energy
barrier
around
R220
sites.
The
ensuing
binding
events
enable
majority
species.
Increasing
voltage
break
cause
translocation
events,
allowing
unambiguous
several
pairs
differing
by
only
one
hydroxyl
group
recognition
accumulation
from
multiple
sensing
regions
Based
on
data
15
SGs,
deep
learning-based
artificial
intelligence
(AI)
model
created
process
individual
blockage
achieving
rapid,
automated,
single-molecule
quantification
real
samples.
This
work
highlights
value
analysis
complex
glycans-containing
glycosides,
as
well
potential
sensitive
rapid
quality
assurance
glycoside
products
with
use
AI.
Organic & Biomolecular Chemistry,
Journal Year:
2024,
Volume and Issue:
22(38), P. 7767 - 7785
Published: Jan. 1, 2024
Glycan
is
an
essential
cell
component
that
usually
exists
in
either
a
free
form
or
glycoconjugated
form.
Glycosylation
affects
the
regulatory
function
of
glycoconjugates
health
and
disease
development,
indicating
key
role
glycan
organisms.
Because
complexity
diversity
structures,
it
challenging
to
prepare
structurally
well-defined
glycans,
which
hinders
investigation
biological
functions
at
molecular
level.
Chemoenzymatic
synthesis
attractive
approach
for
preparing
complex
because
avoids
tedious
protecting
group
manipulations
chemical
ensures
high
regio-
stereo-selectivity
glucosides
during
assembly.
Herein,
enzymes,
such
as
glycosyltransferases
(GTs)
glycosidases
(GHs),
sugar
donors
involved
chemoenzymatic
human
glycans
are
initially
discussed.
Many
state-of-the-art
methodologies
subsequently
displayed
summarized
illustrate
development
synthetic
example,
Journal of the American Chemical Society,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Nanopores
are
promising
sensors
for
glycan
analysis
with
the
accurate
identification
of
complex
glycans
laying
foundation
nanopore-based
sequencing.
However,
their
applicability
toward
continuous
sequencing
has
not
yet
been
demonstrated.
Here,
we
present
a
proof-of-concept
by
combining
nanopore
technology
glycosidase-hydrolyzing
reactions.
By
continuously
monitoring
changes
in
characteristic
current
generated
translocation
hydrolysis
products
through
nanopore,
sequence
can
be
accurately
identified
based
on
specificity
glycosidases.
With
machine
learning,
improved
accuracy
to
over
98%,
allowing
reliable
determination
consecutive
building
blocks
and
glycosidic
linkages
chains
while
reducing
need
operator
expertise.
This
approach
was
validated
real
samples,
calibrated
using
hydrophilic
interaction
chromatography-high-performance
liquid
chromatography
(HILIC-HPLC)
mass
spectrometry
(MS).
We
achieved
ten
units
natural
chains,
which
provided
first
evidence
feasibility
nanopore-glycosidase-compatible
system
Compared
traditional
methods,
this
strategy
enhances
efficiency
5-fold.
Additionally,
introduced
concept
'inverse
sequencing',
focuses
electrical
signal
rather
than
monosaccharide
identification.
eliminates
reliance
fingerprint
libraries
typically
required
putative
'forward
hydrolysis'
strategies.
When
challenges
both
inverse
strategies'
addressed,
will
pave
way
establishing
at
single-molecule
level.
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 26, 2025
Nanopore
sensing
is
a
so-called
label-free,
single-molecule
technology;
however,
multiple
events
of
different
molecules
are
recorded
to
obtain
statistically
robust
data,
which
can
limit
both
efficiency
and
sample
use.
To
overcome
these
challenges,
nanopore
molecular
ping-pong
technology
enables
precise
manipulation,
reducing
systematic
stochastic
errors
by
repeatedly
measuring
the
same
molecule.
This
review
introduces
fundamentals
advancements
technology,
highlighting
recent
breakthrough
achieving
over
10,000
recaptures
single
dsDNA
molecule
within
minutes.
innovation
not
only
minimizes
requirements,
critical
for
nonamplifiable
samples,
but
also
significantly
enhances
experimental
precision.
While
current
applications
focus
on
dsDNA,
extending
this
protein
glycan
analysis
could
transform
research.
Just
as
revolutionized
DNA
sequencing,
it
holds
potential
drive
development
nanopore-based
sequencers,
paving
way
groundbreaking
in
biology
biomedicine.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(16), P. 5442 - 5442
Published: Aug. 22, 2024
Saccharides,
being
one
of
the
fundamental
molecules
life,
play
essential
roles
in
physiological
and
pathological
functions
cells.
However,
their
intricate
structures
pose
challenges
for
detection.
Nanopore
technology,
with
its
high
sensitivity
capability
single-molecule-level
analysis,
has
revolutionized
identification
structural
analysis
saccharide
molecules.
This
review
focuses
on
recent
advancements
nanopore
technology
carbohydrate
detection,
presenting
an
array
methods
that
leverage
molecular
complexity
saccharides.
Biological
techniques
utilize
specific
protein
binding
or
pore
modifications
to
trigger
typical
resistive
pulses,
enabling
high-sensitivity
detection
monosaccharides
oligosaccharides.
In
solid-state
sensing,
boronic
acid
modification
pH
gating
mechanisms
are
employed
recognition
quantitative
polysaccharides.
The
integration
artificial
intelligence
algorithms
can
further
enhance
accuracy
reliability
analyses.
Serving
as
a
crucial
tool
we
foresee
significant
potential
application
disease
diagnosis,
drug
screening,
biosensing,
fostering
innovative
progress
related
research
domains.