medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 1, 2024
Abstract
Purpose
Purpose:
The
ocular
surface
(OS)
microbiome
is
influenced
by
various
factors
and
impacts
health.
Understanding
its
composition
dynamics
crucial
for
developing
targeted
interventions
diseases.
This
study
aims
to
identify
host
variables,
including
physiological,
environmental,
lifestyle
(PEL)
factors,
that
influence
the
establish
valid
associations
between
health
outcomes.
Methods
16S
rRNA
gene
sequencing
was
performed
on
OS
samples
collected
using
eSwab.
DNA
extracted,
libraries
prepared,
PCR
products
purified
analyzed.
PEL
confounding
were
identified,
a
cross-validation
strategy
bioinformatics
methods
Machine
learning
used
features
classify
microbial
profiles.
Results
Nationality,
sport
practice,
eyeglasses
usage
are
significant
influencing
eye
microbiome.
Alpha-diversity
analysis
showed
higher
richness
in
Spanish
subjects
compared
Italian
biodiversity
sports
practitioners.
Beta-diversity
indicated
differences
community
based
nationality,
age,
sport,
usage.
Differential
abundance
identified
several
genera
associated
with
these
factors.
ML
approach
confirmed
significance
of
nationality
classifying
Conclusion
underscores
importance
considering
when
studying
Our
findings
highlight
complex
interplay
lifestyle,
demographic
shaping
Future
research
should
further
explore
interactions
develop
personalized
approaches
managing
Key
Points
Identify
composition;
Characterize
microbiome;
Analyse
data
from
samples;
Perform
Diversity
Analysis
(i.e.;
Beta-diversity)
Difference
Abundance
Analysis;
Many
animals
perceive
odorant
molecules
by
collecting
information
from
ensembles
of
olfactory
neurons,
where
each
neuron
uses
receptors
that
are
tuned
to
recognize
certain
with
different
binding
affinity.
Olfactory
systems
able,
in
principle,
detect
and
discriminate
diverse
odorants
using
combinatorial
coding
strategies.
We
have
combined
microfluidics
multineuronal
imaging
study
the
ensemble-level
representations
at
sensory
periphery
nematode
Caenorhabditis
elegans
.
The
collective
activity
C.
chemosensory
neurons
reveals
high-dimensional
across
a
broad
space
molecules.
reveal
tuning
properties
dose-response
curves
odorants.
describe
unique
contribution
an
code
for
volatile
show
natural
stimuli,
set
pheromones,
also
encoded
ensemble.
integrated
contains
sufficient
robustly
encode
intensity
identity
chemical
stimuli.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Дек. 18, 2023
Abstract
G
protein-coupled
receptors
(GPCRs)
mediate
responses
to
various
extracellular
and
intracellular
cues.
However,
the
large
number
of
GPCR
genes
their
substantial
functional
redundancy
make
it
challenging
systematically
dissect
functions
in
vivo.
Here,
we
employ
a
CRISPR/Cas9-based
approach,
disrupting
1654
GPCR-encoding
284
strains
mutating
152
neuropeptide-encoding
38
C.
elegans
.
These
two
mutant
libraries
enable
effective
deorphanization
chemoreceptors,
characterization
for
neuropeptides
cellular
processes.
Mutating
set
closely
related
GPCRs
single
strain
permits
assignment
with
redundancy.
Our
analyses
identify
neuropeptide
that
interacts
three
hypoxia-evoked
locomotory
responses,
unveil
collection
regulators
pathogen-induced
immune
define
volatile
food-related
odorants.
results
establish
our
as
valuable
resources
community
expedite
studies
signaling
multiple
contexts.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 18, 2024
The
physiological
response
of
a
cell
to
stimulation
depends
on
its
proteome
configuration.
Therefore,
the
abundance
variation
regulatory
proteins
across
unstimulated
single
cells
can
be
associatively
linked
with
their
stimulation.
Here
we
developed
an
approach
that
leverages
this
association
individual
and
nuclei
systematically
identify
potential
regulators
biological
processes,
followed
by
targeted
validation.
Specifically,
applied
nucleocytoplasmic
protein
transport
in
macrophages
stimulated
lipopolysaccharide
(LPS).
To
end,
quantified
proteomes
3,412
nuclei,
sampling
dynamic
LPS
treatment,
linking
functional
variability
proteomic
variability.
Minutes
after
stimulation,
correlated
strongly
known
regulators,
thus
revealing
impact
natural
cellular
response.
We
found
simple
biophysical
constraints,
such
as
quantity
nuclear
pores,
partially
explain
LPS-induced
transport.
Among
many
newly
identified
associated
response,
selected
16
for
validation
knockdown.
knockdown
phenotypes
confirmed
inferences
derived
from
demonstrating
(sub-)single-cell
proteomics
infer
regulation.
expect
generalize
broad
applications
enhance
interpretability
single-cell
omics
data.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2021,
Номер
unknown
Опубликована: Апрель 26, 2021
Many
biological
processes,
such
as
the
cell
division
cycle,
are
reflected
in
protein
covariation
across
single
cells.
This
can
be
quantified
and
interpreted
by
single-cell
mass-spectrometry
(MS)
with
sufficiently
high
throughput
accuracy.
Towards
this
goal,
we
developed
nPOP,
a
method
that
uses
piezo
acoustic
dispensing
to
isolate
individual
cells
300
picoliter
volumes
performs
all
subsequent
sample
preparation
steps
small
droplets
on
fluorocarbon-coated
slide.
design
enabled
simultaneous
of
thousands
cells,
including
lysing,
digesting,
labeling
8-20
nl.
Protein
analysis
identified
cell-cycle
dynamics
were
similar
types
differed
between
types,
even
within
sub-populations
melanoma
defined
markers
for
drug-resistance
priming.
The
expressing
these
accumulated
G1
phase
displayed
distinct
glycogen,
had
lower
abundance
glycolytic
enzymes.
non-primed
exhibited
gradients
covariation,
suggesting
transition
states.
These
results
validated
different
MS
methods.
Together,
they
demonstrate
may
reveal
functionally
concerted
differences
closely
related
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Март 18, 2022
Major
aims
of
single-cell
proteomics
include
increasing
the
consistency,
sensitivity,
and
depth
protein
quantification,
especially
for
proteins
modifications
biological
interest.
To
simultaneously
advance
all
these
aims,
we
developed
prioritized
Single
Cell
ProtEomics
(pSCoPE).
pSCoPE
consistently
analyzes
thousands
peptides
across
single
cells
(thus
data
completeness)
while
analyzing
identifiable
at
full
duty-cycle,
thus
proteome
depth.
These
strategies
increased
completeness,
coverage
over
2-fold.
The
gains
enabled
quantifying
variation
in
untreated
lipopolysaccharide-treated
primary
macrophages.
Within
each
condition,
covaried
within
functional
sets,
including
phagosome
maturation
proton
transport.
This
covariation
a
treatment
condition
was
similar
conditions
coupled
to
phenotypic
variability
endocytic
activity.
also
proteolytic
products,
suggesting
gradient
cathepsin
activities
condition.
is
freely
available
widely
applicable,
interest
without
sacrificing
coverage.
Support
at:
scp.slavovlab.net/pSCoPE
Abstract
Figure
Abstract
Developmental
experiences
play
critical
roles
in
shaping
adult
physiology
and
behavior.
We
others
previously
showed
that
Caenorhabditiselegans
which
transiently
experienced
dauer
arrest
during
development
(postdauer)
exhibit
distinct
gene
expression
profiles
as
compared
to
control
adults
bypassed
the
stage.
In
particular,
patterns
of
subsets
chemoreceptor
genes
are
markedly
altered
postdauer
adults.
Whether
levels
drive
behavioral
plasticity
is
unknown.
Here,
we
show
enhanced
attraction
a
panel
food-related
attractive
volatile
odorants
including
bacterially
produced
chemical
diacetyl.
Diacetyl-evoked
responses
AWA
olfactory
neuron
pair
increased
both
larvae
adults,
find
these
correlated
with
upregulation
diacetyl
receptor
ODR-10
likely
via
transcriptional
posttranscriptional
mechanisms.
odr-10
part
mediated
by
DAF-16
FOXO
transcription
factor.
Via
profiling
sorted
populations
neurons
from
animals,
further
subset
additional
regulated
similarly
animals.
Our
results
suggest
developmental
may
be
encoded
at
level
regulation,
provide
simple
mechanism
C.
elegans
able
precisely
modulate
its
preferences
function
current
past
experiences.
Odorants
binding
to
olfactory
receptor
neurons
(ORNs)
trigger
bursts
of
action
potentials,
providing
the
brain
with
its
only
experience
environment.
Our
recordings
made
in
vivo
from
locust
ORNs
showed
that
odor-elicited
firing
patterns
comprise
four
distinct
response
motifs,
each
defined
by
a
reliable
temporal
profile.
Different
odorants
could
elicit
different
motifs
given
ORN,
property
we
term
motif
switching.
Further,
undergoes
own
form
sensory
adaptation
when
activated
repeated
plume-like
odor
pulses.
A
computational
model
constrained
our
revealed
organizing
responses
into
multiple
provides
substantial
benefits
for
classifying
odors
and
processing
complex
plumes:
contributes
uniquely
encode
plume’s
composition
structure.
Multiple
switching
further
improve
classification
expanding
coding
dimensionality.
demonstrated
these
features
provide
navigation,
including
determining
distance
an
source.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Сен. 15, 2023
Summary
More
than
15%
of
all
vascular
plant
species
may
remain
scientifically
undescribed,
and
many
the
>340,000
described
have
no
or
few
geographic
records
documenting
their
distribution.
Identifying
understanding
taxonomic
knowledge
shortfalls
is
key
to
prioritising
future
collection
conservation
efforts.
Using
extensive
data
for
343,523
time-to-event
analyses,
we
conducted
multiple
tests
related
shortfalls,
identified
32
global
diversity
darkspots
(regions
predicted
lack
most
information
about
distribution).
We
defined
priority
regions
according
several
socio-economic
environmental
scenarios.
Most
are
found
within
biodiversity
hotspots,
except
New
Guinea.
identify
Guinea,
Philippines,
Borneo,
Myanmar,
India,
Turkey,
Colombia,
Ecuador,
Peru,
as
priorities
under
conditions
considered.
Our
study
provides
a
framework
accelerate
documentation
implementation
actions.
As
digitisation
world’s
herbaria
progresses,
soon
be
identifiable
at
finer
scales.
Journal of Neuroscience,
Год журнала:
2024,
Номер
44(15), С. e1219232023 - e1219232023
Опубликована: Фев. 23, 2024
Threat
cues
have
been
widely
shown
to
elicit
increased
sensory
and
attentional
neural
processing.
However,
whether
this
enhanced
recruitment
leads
measurable
behavioral
improvements
in
perception
is
still
question.
Here,
we
adjudicate
between
two
opposing
theories:
that
threat
do
or
not
enhance
perceptual
sensitivity.
We
created
stimuli
by
pairing
one
direction
of
motion
a
random
dot
kinematogram
with
an
aversive
sound.
While
the
MRI
scanner,
46
subjects
(both
men
women)
completed
cued
(threat/safe/neutral)
decision-making
task
where
they
indicated
perceived
each
moving
stimulus.
found
strong
evidence
did
increase
sensitivity
compared
safe
neutral
cues.
This
lack
improvement
ability
occurred
despite
cue
resulting
widespread
increases
frontoparietal
BOLD
activity,
as
well
connectivity
right
insula
network.
These
results
call
into
question
intuitive
claim
expectation
automatically
enhances
our
highlight
role
network
prioritizing
processing
threat-related
environmental
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 15, 2024
Abstract
Arthropods,
including
insects,
represent
the
most
diverse
group
and
contribute
significantly
to
animal
biomass.
Automatic
monitoring
of
insects
other
arthropods
enables
quick
efficient
observation
management
ecologically
economically
important
targets
such
as
pollinators,
natural
enemies,
disease
vectors,
agricultural
pests.
The
integration
cameras
computer
vision
facilitates
innovative
approaches
for
agriculture,
ecology,
entomology,
evolution,
biodiversity.
However,
studying
their
interactions
with
flowers
vegetation
in
environments
remains
challenging,
even
automated
camera
monitoring.
This
paper
presents
a
comprehensive
methodology
monitor
abundance
diversity
wild
quantify
floral
cover
key
resource.
We
apply
methods
across
more
than
10
million
images
recorded
over
two
years
using
48
insect
traps
placed
three
main
habitat
types.
arthropods,
visits,
on
specific
mix
Sedum
plant
species
white,
yellow
red/pink
colored
flowers.
proposed
deep-learning
pipeline
estimates
flower
detects
classifies
arthropod
taxa
from
time-lapse
recordings.
serves
only
an
estimate
correlate
activity
flowering
plants.
Color
semantic
segmentation
DeepLabv3
are
combined
percent
different
colors.
Arthropod
detection
incorporates
motion-informed
enhanced
object
You-Only-Look-Once
(YOLO),
followed
by
filtering
stationary
objects
minimize
double
counting
non-moving
animals
erroneous
background
detections.
approach
has
been
demonstrated
decrease
incidence
false
positives,
since
occur
less
3%
captured
images.
final
step
involves
grouping
into
19
taxonomic
classes.
Seven
state-of-the-art
models
were
trained
validated,
achieving
F
1-scores
ranging
0.81
0.89
classification
arthropods.
Among
these,
selected
model,
EfficientNetB4,
achieved
80%
average
precision
randomly
samples
when
applied
complete
pipeline,
which
includes
detection,
filtering,
collected
2021.
As
expected
during
beginning
end
season,
reduced
correlates
noticeable
drop
method
offers
cost-effective