bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 22, 2024
ABSTRACT
Aligning
and
annotating
the
heterogeneous
cell
types
that
make
up
complex
cellular
tissues
remains
a
major
challenge
in
analysis
of
biomedical
imaging
data.
Here,
we
present
series
deep
neural
networks
allow
for
automatic
non-rigid
registration
identification
context
nervous
system
freely-moving
C.
elegans
.
A
semi-supervised
learning
approach
was
used
to
train
network
(BrainAlignNet)
aligns
pairs
images
bending
head
with
single
pixel-level
accuracy.
When
incorporated
into
an
image
pipeline,
this
can
link
neuronal
identities
over
time
99.6%
separate
(AutoCellLabeler)
trained
annotate
>100
based
on
multi-spectral
fluorescence
genetic
markers.
This
labels
different
per
animal
98%
accuracy,
exceeding
individual
human
labeler
performance
by
aggregating
knowledge
across
manually
labeled
datasets.
Finally,
third
(CellDiscoveryNet)
perform
unsupervised
discovery
labeling
analyzing
unlabeled
data
from
many
animals.
The
CellDiscoveryNet
matched
labelers.
These
tools
will
be
useful
wide
range
applications
research
should
straightforward
generalize
other
requiring
alignment
annotation
dense
tissues.
Cell,
Journal Year:
2023,
Volume and Issue:
186(19), P. 4134 - 4151.e31
Published: Aug. 21, 2023
Changes
in
an
animal's
behavior
and
internal
state
are
accompanied
by
widespread
changes
activity
across
its
brain.
However,
how
neurons
the
brain
encode
this
is
impacted
poorly
understood.
We
recorded
brain-wide
diverse
motor
programs
of
freely
moving
C.
elegans
built
probabilistic
models
that
explain
each
neuron
encodes
quantitative
behavioral
features.
By
determining
identities
neurons,
we
created
atlas
defined
classes
connectome
behavior.
Many
have
conjunctive
representations
multiple
behaviors.
Moreover,
although
many
current
actions,
others
integrate
recent
actions.
behavior,
identify
these
flexible
nodes
connectome.
Our
results
provide
a
global
map
cell
types
Current Biology,
Journal Year:
2023,
Volume and Issue:
33(20), P. 4430 - 4445.e6
Published: Sept. 27, 2023
Animals
generate
a
wide
range
of
highly
coordinated
motor
outputs,
which
allows
them
to
execute
purposeful
behaviors.
Individual
neurons
in
the
circuits
that
behaviors
have
remarkable
capacity
for
flexibility
as
they
exhibit
multiple
axonal
projections,
transmitter
systems,
and
modes
neural
activity.
How
these
multi-functional
properties
enable
generation
adaptive
remains
unknown.
Here,
we
show
HSN
neuron
C.
elegans
evokes
programs
over
different
timescales
suite
behavioral
changes
during
egg
laying.
Using
activity
perturbations
vivo
calcium
imaging,
acutely
increases
laying
locomotion
while
also
biasing
animals
toward
low-speed
dwelling
behavior
minutes.
The
acute
effects
on
high-speed
are
mediated
by
separate
sets
transmitters
compartments.
long-lasting
part
release
serotonin,
is
taken
up
re-released
NSM,
another
serotonergic
class
directly
dwelling.
Our
results
how
single
allow
it
induce
reveal
can
borrow
serotonin
from
one
control
behavior.
Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(6), P. 114341 - 114341
Published: June 1, 2024
The
dorsal
raphe
nucleus
(DRN)
is
implicated
in
psychiatric
disorders
that
feature
impaired
sensitivity
to
reward
amount,
impulsivity
when
facing
delays,
and
risk-seeking
confronting
uncertainty.
However,
it
has
been
unclear
whether
how
DRN
neurons
signal
delay,
uncertainty
during
multi-attribute
value-based
decision-making,
where
subjects
consider
these
attributes
make
a
choice.
We
recorded
as
monkeys
chose
between
offers
whose
attributes,
namely
expected
uncertainty,
varied
independently.
Many
signaled
offer
this
population
tended
integrate
the
manner
reflected
monkeys'
preferences
for
After
response
post-decision
feedback,
same
signed
prediction
errors,
suggesting
broader
role
tracking
value
across
task
epochs
behavioral
contexts.
Our
data
illustrate
participates
computations,
guiding
theories
about
of
decision-making
disease.
Current Opinion in Neurobiology,
Journal Year:
2024,
Volume and Issue:
86, P. 102868 - 102868
Published: April 3, 2024
The
selection
and
execution
of
context-appropriate
behaviors
is
controlled
by
the
integrated
action
neural
circuits
throughout
brain.
However,
how
activity
coordinated
across
brain
regions,
nervous
system
structure
enables
these
functional
interactions,
remain
open
questions.
Recent
technical
advances
have
made
it
feasible
to
build
brain-wide
maps
function,
such
as
maps,
connectomes,
cell
atlases.
Here,
we
review
recent
progress
in
this
area,
focusing
on
C.
elegans
D.
melanogaster,
work
has
produced
global
systems.
We
also
describe
circuit
motifs
elucidated
studies
specific
networks,
which
highlight
complexities
that
must
be
captured
accurate
models
whole-brain
function.
Flavin-containing
monooxygenases
(FMOs)
are
a
conserved
family
of
xenobiotic
enzymes
upregulated
in
multiple
longevity
interventions,
including
nematode
and
mouse
models.
Previous
work
supports
that
C.
elegans
fmo-2
promotes
longevity,
stress
resistance,
healthspan
by
rewiring
endogenous
metabolism.
However,
there
five
FMOs
mammalian
FMOs,
it
is
not
known
whether
promoting
health
benefits
role
this
gene
family.
Here,
we
report
expression
fmo-4
lifespan
extension
paraquat
resistance
downstream
both
dietary
restriction
inhibition
mTOR.
We
find
overexpression
just
the
hypodermis
sufficient
for
these
benefits,
significantly
modifies
transcriptome.
By
analyzing
changes
expression,
genes
related
to
calcium
signaling
altered
expression.
Highlighting
importance
homeostasis
pathway,
overexpressing
animals
sensitive
thapsigargin,
an
ER
stressor
inhibits
flux
from
cytosol
lumen.
This
calcium/
interaction
solidified
data
showing
modulating
intracellular
with
either
small
molecules
or
genetics
can
change
and/or
interact
affect
resistance.
Further
analysis
pathway
where
modulates
activating
transcription
factor-6
(
atf-6
),
whose
knockdown
induces
requires
Together,
our
identify
as
longevity-promoting
actions
pathways
homeostasis.
Neural
network
architecture
determines
its
functional
output.
However,
the
detailed
mechanisms
are
not
well
characterized.
In
this
study,
we
focused
on
neural
architectures
of
male
and
hermaphrodite
C.
elegans
association
with
sexually
dimorphic
behaviors.
We
applied
graph
theory
computational
neuroscience
methods
to
systematically
discern
features
these
two
networks.
Our
findings
revealed
that
a
small
percentage
sexual-specific
neurons
exerted
dominance
throughout
entire
net-work,
suggesting
male’s
prioritized
sexual-related
behavior
outputs.
Based
structural
dynamical
characteristics
complete
networks,
sub-networks
containing
sex-specific
their
immediate
neighbors,
or
exclusively
comprising
sex-shared
neurons,
predicted
behavioral
outcomes
for
males
hermaphrodites.
To
verify
prediction,
performed
calcium
imaging
experiments
dissected
circuit
is
specific
increased
spontaneous
local
search
in
mate-searching.
research
sheds
light
circuits
underlie
behaviors
elegans,
provides
significant
insights
into
inter-connected
relationship
between
at
whole-brain
level.
Neural
network
architecture
determines
its
functional
output.
However,
the
detailed
mechanisms
are
not
well
characterized.
In
this
study,
we
focused
on
neural
architectures
of
male
and
hermaphrodite
C.
elegans
association
with
sexually
dimorphic
behaviors.
We
applied
graph
theory
computational
neuroscience
methods
to
systematically
discern
features
these
two
networks.
Our
findings
revealed
that
a
small
percentage
sexual-specific
neurons
exerted
dominance
throughout
entire
net-work,
suggesting
male’s
prioritized
sexual-related
behavior
outputs.
Based
structural
dynamical
characteristics
complete
networks,
sub-networks
containing
sex-specific
their
immediate
neighbors,
or
exclusively
comprising
sex-shared
neurons,
predicted
behavioral
outcomes
for
males
hermaphrodites.
To
verify
prediction,
performed
calcium
imaging
experiments
dissected
circuit
is
specific
increased
spontaneous
local
search
in
mate-searching.
research
sheds
light
circuits
underlie
behaviors
elegans,
provides
significant
insights
into
inter-connected
relationship
between
at
whole-brain
level.