Journal of the American Society for Mass Spectrometry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 8, 2024
High
spatial
resolution
is
a
key
parameter
in
mass
spectrometry
imaging
(MSI),
enabling
greater
understanding
of
system
biology
and
cellular
processes.
Using
novel
IR
laser
with
good
Gaussian
beam
quality
(
PROTEOMICS,
Journal Year:
2024,
Volume and Issue:
24(12-13)
Published: March 4, 2024
Abstract
Ion
mobility
spectrometry‐mass
spectrometry
(IMS‐MS
or
IM‐MS)
is
a
powerful
analytical
technique
that
combines
the
gas‐phase
separation
capabilities
of
IM
with
identification
and
quantification
MS.
IM‐MS
can
differentiate
molecules
indistinguishable
masses
but
different
structures
(e.g.,
isomers,
isobars,
molecular
classes,
contaminant
ions).
The
importance
this
reflected
by
staged
increase
in
number
applications
for
characterization
across
variety
fields,
from
MS‐based
omics
(proteomics,
metabolomics,
lipidomics,
etc.)
to
structural
glycans,
organic
matter,
proteins,
macromolecular
complexes.
With
increasing
application
there
pressing
need
effective
accessible
computational
tools.
This
article
presents
an
overview
most
recent
free
open‐source
software
tools
specifically
tailored
analysis
interpretation
data
derived
instrumentation.
review
enumerates
these
outlines
their
main
algorithmic
approaches,
while
highlighting
representative
fields.
Finally,
discussion
current
limitations
expectable
improvements
presented.
FEBS Letters,
Journal Year:
2024,
Volume and Issue:
598(6), P. 591 - 601
Published: Jan. 19, 2024
Multimodal
mass
spectrometry
(MMS)
incorporates
an
imaging
modality
with
probe‐based
(MS)
to
enable
precise,
targeted
data
acquisition
and
provide
additional
biological
chemical
not
available
by
MS
alone.
Two
categories
of
MMS
are
covered;
in
the
first,
guides
probe
target
individual
cells
reduce
time
automatically
defining
regions
interest.
In
second
category,
coupled
analysis
pipeline
increase
effective
spatial
resolution
using
a
higher
method,
correct
for
tissue
deformation,
incorporate
fine
morphological
features
dataset.
Recent
methodological
computational
developments
covered
along
their
application
single‐cell
analyses.
Annual Review of Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
17(1), P. 1 - 24
Published: April 10, 2024
Imaging
mass
spectrometry
(IMS)
enables
highly
multiplexed,
untargeted
tissue
mapping
for
a
broad
range
of
molecular
classes,
facilitating
in
situ
biological
discovery.
Yet,
challenges
persist
specificity,
which
is
the
ability
to
discern
one
molecule
from
another,
and
spatial
link
imaging
data
specific
features.
Instrumental
developments
have
dramatically
improved
IMS
resolution,
allowing
observations
be
more
readily
associated
with
distinct
features
across
scales,
ranging
larger
anatomical
regions
single
cells.
High-performance
analyzers
systems
integrating
ion
mobility
technologies
are
also
becoming
prevalent,
further
improving
coverage
chemical
identity.
This
review
provides
an
overview
recent
advancements
high-specificity
that
providing
critical
context
imaging,
enabling
integrated
analyses,
addressing
advanced
biomedical
research
applications.
The
qualities
of
antibody
(Ab)
responses
provided
by
B
lymphocytes
and
their
plasma
cell
(PC)
descendants
are
crucial
facets
to
vaccines
microbes.
Metabolic
processes
products
regulate
aspects
proliferation
differentiation
into
germinal
center
(GC)
PC
states
as
well
Ab
diversification.
However,
there
is
little
information
about
lymphoid
cell-intrinsic
functions
enzymes
that
mediate
ether
lipid
biosynthesis,
including
a
major
class
membrane
phospholipids.
Imaging
mass
spectrometry
(IMS)
results
had
indicated
concentrations
number
these
phospholipids
were
substantially
enhanced
in
GC
compared
the
background
average
spleens.
it
was
not
clear
if
biosynthesis
cells
basis
for
this
finding,
or
whether
such
contributes
physiology
responses.
Ether
can
involve
enzyme
PexRAP,
product
Dhrs7b
gene.
Using
combinations
IMS
immunization
experiments
mouse
models
with
inducible
loss-of-function,
we
now
show
lineage-intrinsic
expression
PexRAP
promotes
magnitude
affinity
maturation
serological
response.
Moreover,
data
revealed
-dependent
increase
primary
follicles
more
prominent
GC.
Mechanistically,
impacted
via
survival
associated
controlling
levels
ROS
peroxidation.
These
findings
reveal
vital
role
peroxisomal
homeostasis
humoral
immunity.
The
qualities
of
antibody
(Ab)
responses
provided
by
B
lymphocytes
and
their
plasma
cell
(PC)
descendants
are
crucial
facets
to
vaccines
microbes.
Metabolic
processes
products
regulate
aspects
proliferation
differentiation
into
germinal
center
(GC)
PC
states
as
well
Ab
diversification.
However,
there
is
little
information
about
lymphoid
cell-intrinsic
functions
enzymes
that
mediate
ether
lipid
biosynthesis,
including
a
major
class
membrane
phospholipids.
Imaging
mass
spectrometry
(IMS)
results
had
indicated
concentrations
number
these
phospholipids
were
substantially
enhanced
in
GC
compared
the
background
average
spleens.
it
was
not
clear
if
biosynthesis
cells
basis
for
this
finding,
or
whether
such
contributes
physiology
responses.
Ether
can
involve
enzyme
PexRAP,
product
Dhrs7b
gene.
Using
combinations
IMS
immunization
experiments
mouse
models
with
inducible
loss-of-function,
we
now
show
lineage-intrinsic
expression
PexRAP
promotes
magnitude
affinity
maturation
serological
response.
Moreover,
data
revealed
-dependent
increase
primary
follicles
more
prominent
GC.
Mechanistically,
impacted
via
survival
associated
controlling
levels
ROS
peroxidation.
These
findings
reveal
vital
role
peroxisomal
homeostasis
humoral
immunity.
Analytical and Bioanalytical Chemistry,
Journal Year:
2024,
Volume and Issue:
416(8), P. 1923 - 1933
Published: Feb. 7, 2024
Abstract
Inflammation
is
a
complex
process
that
accompanies
many
pathologies.
Actually,
dysregulation
of
the
inflammatory
behind
autoimmune
diseases.
Thus,
treatment
such
pathologies
may
benefit
from
in-depth
knowledge
metabolic
changes
associated
with
inflammation.
Here,
we
developed
strategy
to
characterize
lipid
fingerprint
inflammation
in
mouse
model
spinal
cord
injury.
Using
imaging
mass
spectrometry
(LIMS),
scanned
sections
nine
animals
injected
lysophosphatidylcholine,
chemical
demyelination.
The
lesions
were
demonstrated
be
highly
heterogeneous,
and
therefore,
comparison
immunofluorescence
experiments
carried
out
same
section
by
LIMS
was
required
accurately
identify
morphology
lesion.
Following
this
protocol,
three
main
areas
defined:
lesion
core,
peri-lesion,
which
front
rich
infiltrating
cells,
uninvolved
tissue.
Segmentation
allowed
us
isolate
each
area
precise
way,
as
analysis
using
classification
models.
A
clear
difference
signature
observed
between
epicentre,
where
damage
maximized.
This
study
first
step
unravel
lipidome
context
diverse
pathologies,
multiple
sclerosis.
Graphical
abstract
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 23, 2024
Abstract
Glomeruli
filter
blood
through
the
coordination
of
podocytes,
mesangial
cells,
fenestrated
endothelial
and
glomerular
basement
membrane.
Cellular
changes,
such
as
podocyte
loss,
are
associated
with
pathologies
like
diabetic
kidney
disease
(DKD).
However,
little
is
known
regarding
in
situ
molecular
profiles
specific
cell
types
how
these
change
disease.
Matrix-assisted
laser
desorption/ionization
imaging
mass
spectrometry
(MALDI
IMS)
well-suited
for
untargeted
tissue
mapping
a
wide
range
classes.
Additional
modalities
can
be
integrated
MALDI
IMS
to
associate
biomolecular
distributions
types.
Herein,
we
demonstrate
an
workflow
combining
multiplexed
immunofluorescence
(MxIF)
microscopy.
High
spatial
resolution
(5
µm
pixel
size)
was
used
determine
lipid
within
human
glomeruli,
revealing
intra-glomerular
heterogeneity.
Mass
spectrometric
data
were
linked
new
methods
that
enable
MxIF
microscopy
performed
on
same
section
following
without
sacrificing
signal
quality
from
either
modality.
A
combination
machine-learning
approaches
assembled,
enabling
cell-type
segmentation
identification
based
followed
by
mining
type
or
cluster-associated
signatures
using
classification
models
interpretable
machine
learning.
This
allowed
automated
discovery
spatially
biomarker
candidates
substructures
Overall,
work
presented
here
establishes
toolbox
probing
microenvironments
provides
framework
applies
other
features
organ
systems.