Cell Reports,
Год журнала:
2016,
Номер
15(9), С. 1930 - 1944
Опубликована: Май 1, 2016
Visual
information
is
conveyed
to
the
brain
by
axons
of
>30
retinal
ganglion
cell
(RGC)
types.
Characterization
these
types
a
prerequisite
understanding
visual
perception.
Here,
we
identify
family
RGCs
that
call
F-RGCs
on
basis
expression
transcription
factor
Foxp2.
Intersectional
Foxp1
and
Brn3
factors
divides
into
four
types,
comprising
two
pairs,
each
composed
closely
related
cells.
One
pair,
F-mini(ON)
F-mini(OFF),
shows
robust
direction
selectivity.
They
are
among
smallest
in
mouse
retina.
The
other
F-midi(ON)
F-midi(OFF),
larger
not
selective.
Together,
comprise
>20%
retina,
halving
number
remain
be
classified
doubling
known
direction-selective
Co-expression
Foxp
genes
also
marks
subsets
macaques
could
primate
homologs
F-RGCs.
The
recent
advent
of
methods
for
high-throughput
single-cell
molecular
profiling
has
catalyzed
a
growing
sense
in
the
scientific
community
that
time
is
ripe
to
complete
150-year-old
effort
identify
all
cell
types
human
body.
Human
Cell
Atlas
Project
an
international
collaborative
aims
define
terms
distinctive
profiles
(such
as
gene
expression
profiles)
and
connect
this
information
with
classical
cellular
descriptions
location
morphology).
An
open
comprehensive
reference
map
state
cells
healthy
tissues
would
propel
systematic
study
physiological
states,
developmental
trajectories,
regulatory
circuitry
interactions
cells,
also
provide
framework
understanding
dysregulation
disease.
Here
we
describe
idea,
its
potential
utility,
early
proofs-of-concept,
some
design
considerations
Atlas,
including
commitment
data,
code,
community.
Nature,
Год журнала:
2021,
Номер
598(7879), С. 86 - 102
Опубликована: Окт. 6, 2021
Here
we
report
the
generation
of
a
multimodal
cell
census
and
atlas
mammalian
primary
motor
cortex
as
initial
product
BRAIN
Initiative
Cell
Census
Network
(BICCN).
This
was
achieved
by
coordinated
large-scale
analyses
single-cell
transcriptomes,
chromatin
accessibility,
DNA
methylomes,
spatially
resolved
morphological
electrophysiological
properties
cellular
resolution
input-output
mapping,
integrated
through
cross-modal
computational
analysis.
Our
results
advance
collective
knowledge
understanding
brain
cell-type
organization
