JACS Au,
Journal Year:
2023,
Volume and Issue:
3(3), P. 628 - 656
Published: March 2, 2023
Glycosaminoglycans
(GAGs)
are
complex
polysaccharides
exhibiting
a
vast
structural
diversity
and
fulfilling
various
functions
mediated
by
thousands
of
interactions
in
the
extracellular
matrix,
at
cell
surface,
within
cells
where
they
have
been
detected
nucleus.
It
is
known
that
chemical
groups
attached
to
GAGs
GAG
conformations
comprise
"glycocodes"
not
yet
fully
deciphered.
The
molecular
context
also
matters
for
structures
functions,
influence
structure
proteoglycan
core
proteins
on
sulfated
vice
versa
warrants
further
investigation.
lack
dedicated
bioinformatic
tools
mining
data
sets
contributes
partial
characterization
functional
landscape
GAGs.
These
pending
issues
will
benefit
from
development
new
approaches
reviewed
here,
namely
(i)
synthesis
oligosaccharides
build
large
diverse
libraries,
(ii)
analysis
sequencing
mass
spectrometry
(e.g.,
ion
mobility-mass
spectrometry),
gas-phase
infrared
spectroscopy,
recognition
tunnelling
nanopores,
modeling
identify
bioactive
sequences,
biophysical
methods
investigate
binding
interfaces,
expand
our
knowledge
understanding
glycocodes
governing
recognition,
(iii)
artificial
intelligence
in-depth
investigation
GAGomic
their
integration
with
proteomics.
Journal of Hematology & Oncology,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: March 22, 2024
Abstract
Cancer
early
detection
and
treatment
response
prediction
continue
to
pose
significant
challenges.
liquid
biopsies
focusing
on
detecting
circulating
tumor
cells
(CTCs)
DNA
(ctDNA)
have
shown
enormous
potential
due
their
non-invasive
nature
the
implications
in
precision
cancer
management.
Recently,
biopsy
has
been
further
expanded
profile
glycoproteins,
which
are
products
of
post-translational
modifications
proteins
play
key
roles
both
normal
pathological
processes,
including
cancers.
The
advancements
chemical
mass
spectrometry-based
technologies
artificial
intelligence-based
platforms
enabled
extensive
studies
organ-specific
changes
glycans
glycoproteins
through
glycomics
glycoproteomics.
Glycoproteomic
analysis
emerged
as
a
promising
tool
for
biomarker
discovery
development
cancers
efficacy
immunotherapies.
These
biomarkers
could
crucial
role
aiding
intervention
personalized
therapy
decisions.
In
this
review,
we
summarize
advance
glycoproteomic
promise
challenges
integration
into
clinical
practice
improve
patient
care.
Emerging infectious diseases,
Journal Year:
2024,
Volume and Issue:
30(9)
Published: Aug. 23, 2024
An
outbreak
of
influenza
A
(H5N1)
virus
was
detected
in
dairy
cows
the
United
States.
We
sialic
acid
-α2,3/α2,6-galactose
host
receptors
bovine
mammary
glands
by
lectin
histochemistry.
Our
results
provide
a
rationale
for
high
levels
H5N1
milk
from
infected
cows.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 3, 2024
Abstract
An
outbreak
of
H5N1
highly
pathogenic
influenza
A
virus
(HPIAV)
has
been
detected
in
dairy
cows
the
United
States.
Influenza
(IAV)
is
a
negative-sense,
single-stranded,
RNA
that
not
previously
associated
with
widespread
infection
cattle.
As
such,
cattle
are
an
extremely
under-studied
domestic
IAV
host
species.
receptors
on
cells
sialic
acids
(SAs)
bound
to
galactose
either
α2,3
or
α2,6
linkage.
Human
IAVs
preferentially
bind
SA-α2,6
(human
receptor),
whereas
avian
have
preference
for
(avian
receptor).
The
receptor
can
further
be
divided
into
two
receptors:
isolated
from
chickens
generally
more
tightly
SA-α2,3-Gal-β1,4
(chicken
duck
SA-α2,3-Gal-β1,3
(duck
We
found
all
were
expressed,
different
degree,
mammary
gland,
respiratory
tract,
and
cerebrum
beef
and/or
human
widely
expressed
bovine
chicken
dominated
tract.
In
general,
only
low
expression
was
observed
neurons
cerebrum.
These
results
provide
mechanistic
rationale
high
levels
reported
infected
milk
show
potential
act
as
mixing
vessel
novel
generation.
Graphical
abstract
Created
Biorender.com
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Feb. 7, 2025
Affinity
labeling
of
biomacromolecules
is
vital
for
bioimaging
and
functional
studies.
However,
affinity
probes
recognizing
glycans
with
high
specificity
remain
scarce.
Here
we
report
the
development
glycan
recombinant
binders
(GRABs)
based
on
mutant
bacterial
sialidases,
which
are
enzymatically
inactive
but
preserve
stringent
sialoglycan
substrates.
By
mutating
a
key
catalytic
residue
Streptococcus
pneumoniae
neuraminidase
A
(SpNanA)
Ruminococcus
gnavus
H
(RgNanH),
develop
GRAB-Sia
GRAB-Sia3
total
sialoglycans
α2,3-sialosides,
respectively.
The
GRABs
exhibit
strict
substrate
linkage
specificity,
tetramerization
streptavidin
substantially
increases
their
avidity.
tetrameric
(tetra-GRABs)
effective
tools
probing
in
immunoblotting,
flow
cytometry,
immunoprecipitation,
fluorescence
imaging.
Furthermore,
multiplex
analysis
tetra-GRABs
uncovers
spatially
distinct
various
mouse
organs.
This
work
provides
versatile
toolkit
analyzing
sensitivity,
convenience.
Highly
specific
labels
scarce,
limiting
use
many
applications.
Here,
authors
sialidase
mutants,
sialoglycans.
Chemical Reviews,
Journal Year:
2022,
Volume and Issue:
122(20), P. 15971 - 15988
Published: Aug. 12, 2022
Artificial
intelligence
(AI)
methods
have
been
and
are
now
being
increasingly
integrated
in
prediction
software
implemented
bioinformatics
its
glycoscience
branch
known
as
glycoinformatics.
AI
techniques
evolved
the
past
decades,
their
applications
not
yet
widespread.
This
limited
use
is
partly
explained
by
peculiarities
of
glyco-data
that
notoriously
hard
to
produce
analyze.
Nonetheless,
time
goes,
accumulation
glycomics,
glycoproteomics,
glycan-binding
data
has
reached
a
point
where
even
most
recent
deep
learning
can
provide
predictors
with
good
performance.
We
discuss
historical
development
application
various
broader
field
A
particular
focus
placed
on
shining
light
challenges
handling,
contextualized
lessons
learnt
from
related
disciplines.
Ending
discussion
state-of-the-art
approaches
glycoinformatics,
we
also
envision
future
including
need
occur
order
truly
unleash
capabilities
systems
biology
era.