Exosomes,
known
as
nanometer-sized
vesicles
(30-200
nm),
are
secreted
by
many
types
of
cells.
Cancer-derived
exosomes
have
great
potential
to
be
biomarkers
for
early
clinical
diagnosis
and
evaluation
cancer
therapeutic
efficacy.
Conventional
detection
methods
limited
low
sensitivity
reproducibility.
There
hundreds
papers
published
with
different
in
recent
years
address
these
challenges.
Therefore,
this
review,
pioneering
researches
about
various
strategies
comprehensively
summarized
the
analytical
performance
tests
is
evaluated.
Furthermore,
exosome
molecular
composition
(protein
nucleic
acid)
profiling,
a
single
their
application
reviewed.
Finally,
principles
applications
machine
learning
method
presented.
Journal of Proteome Research,
Год журнала:
2021,
Номер
20(12), С. 5241 - 5263
Опубликована: Окт. 21, 2021
The
study
of
proteins
circulating
in
blood
offers
tremendous
opportunities
to
diagnose,
stratify,
or
possibly
prevent
diseases.
With
recent
technological
advances
and
the
urgent
need
understand
effects
COVID-19,
proteomic
analysis
blood-derived
serum
plasma
has
become
even
more
important
for
studying
human
biology
pathophysiology.
Here
we
provide
views
perspectives
about
developments
possible
clinical
applications
that
use
mass-spectrometry(MS)-
affinity-based
methods.
We
discuss
examples
where
proteomics
contributed
valuable
insights
into
SARS-CoV-2
infections,
aging,
hemostasis
offered
by
combining
with
genetic
data.
As
a
contribution
Human
Proteome
Organization
(HUPO)
Plasma
Project
(HPPP),
present
PeptideAtlas
build
2021-07
comprises
4395
canonical
1482
additional
nonredundant
detected
240
MS-based
experiments.
In
addition,
report
new
Extracellular
Vesicle
2021-06,
which
five
studies
2757
extracellular
vesicles
blood,
74%
(2047)
are
common
PeptideAtlas.
Our
overview
summarizes
advances,
impactful
applications,
ongoing
challenges
translating
utility
precision
medicine.
Journal of Materials Chemistry B,
Год журнала:
2019,
Номер
7(43), С. 6670 - 6704
Опубликована: Янв. 1, 2019
In
this
review,
we
have
summarised
the
biogenesis,
biological
significance,
isolation
and
detection
technologies
of
four
widely
known
circulating
biomarkers
namely
tumour
cells,
tumor
specific
DNA,
microRNA,
exosomes.
Chemical Reviews,
Год журнала:
2023,
Номер
123(12), С. 7953 - 8039
Опубликована: Июнь 1, 2023
Whole
blood,
as
one
of
the
most
significant
biological
fluids,
provides
critical
information
for
health
management
and
disease
monitoring.
Over
past
10
years,
advances
in
nanotechnology,
microfluidics,
biomarker
research
have
spurred
development
powerful
miniaturized
diagnostic
systems
whole
blood
testing
toward
goal
monitoring
treatment.
Among
techniques
employed
whole-blood
diagnostics,
electrochemical
biosensors,
known
to
be
rapid,
sensitive,
capable
miniaturization,
reagentless
washing
free,
become
a
class
emerging
technology
achieve
target
detection
specifically
directly
complex
media,
e.g.,
or
even
living
body.
Here
we
are
aiming
provide
comprehensive
review
summarize
over
decade
sensors
analysis.
Further,
address
remaining
challenges
opportunities
integrate
sensing
platforms.
Theranostics,
Год журнала:
2021,
Номер
11(8), С. 3996 - 4010
Опубликована: Янв. 1, 2021
Exosomes
are
nanosized
lipid
vesicles
originating
from
the
endosomal
system
that
carry
many
macromolecules
their
parental
cells
and
play
important
roles
in
intercellular
communication.
The
functions
underlying
mechanisms
of
exosomes
atherosclerosis
have
recently
been
intensively
studied.
In
this
review,
we
briefly
introduce
exosome
biology
then
focus
on
advances
atherosclerosis,
specifically
exosomal
changes
associated
with
cellular
origins
potential
functional
cargos,
detailed
impacts
recipient
cells.
We
also
discuss
as
biomarkers
drug
carriers
for
managing
atherosclerosis.
Exosomes,
known
as
nanometer-sized
vesicles
(30-200
nm),
are
secreted
by
many
types
of
cells.
Cancer-derived
exosomes
have
great
potential
to
be
biomarkers
for
early
clinical
diagnosis
and
evaluation
cancer
therapeutic
efficacy.
Conventional
detection
methods
limited
low
sensitivity
reproducibility.
There
hundreds
papers
published
with
different
in
recent
years
address
these
challenges.
Therefore,
this
review,
pioneering
researches
about
various
strategies
comprehensively
summarized
the
analytical
performance
tests
is
evaluated.
Furthermore,
exosome
molecular
composition
(protein
nucleic
acid)
profiling,
a
single
their
application
reviewed.
Finally,
principles
applications
machine
learning
method
presented.
