Functional specialization of hippocampal somatostatin-expressing interneurons
Proceedings of the National Academy of Sciences,
Год журнала:
2024,
Номер
121(17)
Опубликована: Апрель 19, 2024
Hippocampal
somatostatin-expressing
(
Sst
)
GABAergic
interneurons
(INs)
exhibit
considerable
anatomical
and
functional
heterogeneity.
Recent
single-cell
transcriptome
analyses
have
provided
a
comprehensive
-IN
subpopulations
census,
plausible
molecular
ground
truth
of
neuronal
identity
whose
links
to
specific
functionality
remain
incomplete.
Here,
we
designed
an
approach
identify
access
-INs
based
on
transcriptomic
features.
Four
mouse
models
single
or
combinatorial
Cre-
Flp-
expression
differentiated
functionally
distinct
CA1
hippocampal
Sst-
INs
that
largely
tiled
the
morpho-functional
parameter
space
superfamily.
Notably,
Sst;;Tac1
intersection
revealed
population
bistratified
preferentially
synapsed
onto
fast-spiking
(FS-INs)
were
sufficient
interrupt
their
firing.
In
contrast,
Ndnf;;Nkx2-1
identified
oriens
lacunosum-moleculare
predominantly
targeted
pyramidal
neurons,
avoiding
FS-INs.
Overall,
our
results
provide
framework
translate
into
discrete
subtypes
capture
diverse
specializations
-INs.
Язык: Английский
Computational protocol for modeling and analyzing synaptic dynamics using SRPlasticity
STAR Protocols,
Год журнала:
2025,
Номер
6(1), С. 103652 - 103652
Опубликована: Март 1, 2025
Transient
changes
in
synaptic
strength,
known
as
short-term
plasticity
(STP),
play
a
fundamental
role
neuronal
communication.
Here,
we
present
protocol
for
using
SRPlasticity,
software
package
that
implements
computational
model
of
STP.
SRPlasticity
supports
automatic
characterization
electrophysiological
data
and
simulation
responses.
We
describe
steps
installing
utilizing
preprocessing
data,
fitting
models,
simulating
then
detail
procedures
analyzing
spike
response
(SRP)
parameters
to
infer
functional
groupings
For
complete
details
on
the
use
execution
this
protocol,
please
refer
Rossbroich
et
al.1
Beninger
al.2.
Язык: Английский
Power-law adaptation in the presynaptic vesicle cycle
Communications Biology,
Год журнала:
2025,
Номер
8(1)
Опубликована: Апрель 2, 2025
After
synaptic
transmission,
fused
vesicles
are
recycled,
enabling
the
synapse
to
recover
its
capacity
for
renewed
release.
The
recovery
steps,
which
range
from
endocytosis
vesicle
docking
and
priming,
have
been
studied
individually,
but
it
is
not
clear
what
their
impact
on
overall
dynamics
of
recycling
is,
how
they
influence
signal
transmission.
Here
we
model
find
that
multiple
timescales
steps
reflected
in
recovery.
This
leads
multi-timescale
dynamics,
can
be
described
by
a
simplified
with
'power-law'
adaptation.
Using
cultured
hippocampal
neurons,
test
this
experimentally,
show
duration
exhaustion
changes
effective
timescale,
as
predicted
model.
Finally,
adaptation
could
implement
specific
function
hippocampus,
namely
efficient
communication
between
neurons
through
temporal
whitening
spike
trains.
Язык: Английский
Power-law adaptation in the presynaptic vesicle cycle
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 23, 2024
After
synaptic
transmission,
fused
vesicles
are
recycled,
enabling
the
synapse
to
recover
its
capacity
for
renewed
release.
The
recovery
steps,
which
range
from
endocytosis
vesicle
docking
and
priming,
have
been
studied
individually,
but
it
is
not
clear
what
their
impact
on
overall
dynamics
of
recycling
is,
how
they
influence
signal
transmission.
Here
we
model
find
that
multiple
timescales
steps
reflected
in
recovery.
This
leads
multi-timescale
dynamics,
can
be
described
by
a
simplified
with
‘power-law’
adaptation.
Using
cultured
hippocampal
neurons,
test
this
experimentally,
show
duration
exhaustion
changes
effective
timescale,
as
predicted
model.
Finally,
adaptation
could
implement
specific
function
hippocampus,
namely
efficient
communication
between
neurons
through
temporal
whitening
spike
trains.
Язык: Английский