bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 22, 2024
Abstract
The
formation
of
biomolecular
condensates
contributes
to
intracellular
compartmentalization,
and
plays
an
important
role
in
many
cellular
processes.
characterization
is
however
challenging,
requiring
advanced
biophysical
or
biochemical
methods
that
are
often
less
suitable
for
vivo
studies.
A
particular
need
easily
accessible
yet
thorough
enable
the
across
different
experimental
systems
thus
remains.
To
address
this,
we
present
PhaseMetrics,
a
semi-automated
FIJI-based
image
analysis
pipeline
tailored
quantifying
particle
properties
from
microscopy
data.
Tested
using
FG-domain
yeast
nucleoporin
Nup100,
PhaseMetrics
accurately
assesses
diverse
setups,
including
vitro
,
Xenopus
egg
extracts,
systems.
It
reliably
detects
changes
induced
by
various
conditions
such
as
presence
polyethylene
glycol,
1,6-hexanediol,
salt
gradient,
molecular
chaperone
DNAJB6b.
By
enabling
accurate
representation
variability
within
population
detection
subtle
at
single
level,
method
complements
conventional
assays.
Combined,
accessible,
customizable
enables
imaging-based
quantitative
assessment
cells,
providing
valuable
addition
current
toolbox.
Expert Review of Proteomics,
Год журнала:
2023,
Номер
20(4-6), С. 93 - 107
Опубликована: Май 23, 2023
Introduction
Intrinsically
disordered
proteins
(IDPs)
represent
a
family
of
that
lack
secondary
or
tertiary
structure.
IDPs
are
hubs
in
interaction
networks,
participate
liquid–liquid
phase
separation
processes,
and
drive
the
formation
proteinaceous
membrane-less
organelles.
Their
unfolded
structure
makes
them
particularly
prone
to
post-translational
modifications
(PTMs)
play
key
functional
modulatory
roles.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 22, 2024
Abstract
The
formation
of
biomolecular
condensates
contributes
to
intracellular
compartmentalization,
and
plays
an
important
role
in
many
cellular
processes.
characterization
is
however
challenging,
requiring
advanced
biophysical
or
biochemical
methods
that
are
often
less
suitable
for
vivo
studies.
A
particular
need
easily
accessible
yet
thorough
enable
the
across
different
experimental
systems
thus
remains.
To
address
this,
we
present
PhaseMetrics,
a
semi-automated
FIJI-based
image
analysis
pipeline
tailored
quantifying
particle
properties
from
microscopy
data.
Tested
using
FG-domain
yeast
nucleoporin
Nup100,
PhaseMetrics
accurately
assesses
diverse
setups,
including
vitro
,
Xenopus
egg
extracts,
systems.
It
reliably
detects
changes
induced
by
various
conditions
such
as
presence
polyethylene
glycol,
1,6-hexanediol,
salt
gradient,
molecular
chaperone
DNAJB6b.
By
enabling
accurate
representation
variability
within
population
detection
subtle
at
single
level,
method
complements
conventional
assays.
Combined,
accessible,
customizable
enables
imaging-based
quantitative
assessment
cells,
providing
valuable
addition
current
toolbox.
