Life Science Alliance,
Год журнала:
2022,
Номер
6(1), С. e202201701 - e202201701
Опубликована: Дек. 16, 2022
Spatial
transcriptomics
extends
single-cell
RNA
sequencing
(scRNA-seq)
by
providing
spatial
context
for
cell
type
identification
and
analysis.
Imaging-based
technologies
such
as
multiplexed
error-robust
fluorescence
in
situ
hybridization
(MERFISH)
can
achieve
resolution,
directly
mapping
identities
to
positions.
MERFISH
produces
a
different
data
than
scRNA-seq,
technical
comparison
between
the
two
modalities
is
necessary
ascertain
how
best
integrate
them.
We
performed
on
mouse
liver
kidney
compared
resulting
bulk
statistics
with
those
from
Tabula
Muris
Senis
atlas
Visium
datasets.
quantitatively
reproduced
RNA-seq
scRNA-seq
results
improvements
overall
dropout
rates
sensitivity.
Finally,
we
found
that
independently
resolved
distinct
types
structure
both
kidney.
Computational
integration
did
not
enhance
these
results.
conclude
provides
comparable
method
gene
expression
identify
without
need
computational
atlases.
Cell Reports,
Год журнала:
2021,
Номер
36(11), С. 109698 - 109698
Опубликована: Сен. 1, 2021
Human
hematopoiesis
is
a
dynamic
process
that
starts
in
utero
18–21
days
post-conception.
Understanding
the
site-
and
stage-specific
variation
important
if
we
are
to
understand
origin
of
hematological
disorders,
many
which
occur
at
specific
points
human
lifespan.
To
unravel
how
hematopoietic
stem/progenitor
cell
(HSPC)
compartment
changes
during
ontogeny
underlying
gene
regulatory
mechanisms,
compare
57,489
HSPCs
from
5
different
tissues
spanning
4
developmental
stages
through
lifetime.
Single-cell
transcriptomic
analysis
identifies
significant
transitions
cellular
architecture
networks.
Hematopoietic
stem
cells
show
progression
cycling
quiescence
increased
inflammatory
signaling
ontogeny.
We
demonstrate
utility
this
dataset
for
understanding
aberrant
comparison
two
cancers
present
distinct
time
postnatal
life—juvenile
myelomonocytic
leukemia,
childhood
cancer,
myelofibrosis,
classically
presents
older
adults.
With
growing
populations
and
pressing
environmental
problems,
future
economies
will
be
increasingly
plant-based.
Now
is
the
time
to
reimagine
plant
science
as
a
critical
component
of
fundamental
science,
agriculture,
stewardship,
energy,
technology
healthcare.
This
effort
requires
conceptual
technological
framework
identify
map
all
cell
types,
comprehensively
annotate
localization
organization
molecules
at
cellular
tissue
levels.
framework,
called
Plant
Cell
Atlas
(PCA),
for
understanding
engineering
development,
physiology
responses.
A
workshop
was
convened
discuss
purpose
utility
such
an
initiative,
resulting
in
roadmap
that
acknowledges
current
knowledge
gaps
technical
challenges,
underscores
how
PCA
initiative
can
help
overcome
them.
Life Science Alliance,
Год журнала:
2022,
Номер
6(1), С. e202201701 - e202201701
Опубликована: Дек. 16, 2022
Spatial
transcriptomics
extends
single-cell
RNA
sequencing
(scRNA-seq)
by
providing
spatial
context
for
cell
type
identification
and
analysis.
Imaging-based
technologies
such
as
multiplexed
error-robust
fluorescence
in
situ
hybridization
(MERFISH)
can
achieve
resolution,
directly
mapping
identities
to
positions.
MERFISH
produces
a
different
data
than
scRNA-seq,
technical
comparison
between
the
two
modalities
is
necessary
ascertain
how
best
integrate
them.
We
performed
on
mouse
liver
kidney
compared
resulting
bulk
statistics
with
those
from
Tabula
Muris
Senis
atlas
Visium
datasets.
quantitatively
reproduced
RNA-seq
scRNA-seq
results
improvements
overall
dropout
rates
sensitivity.
Finally,
we
found
that
independently
resolved
distinct
types
structure
both
kidney.
Computational
integration
did
not
enhance
these
results.
conclude
provides
comparable
method
gene
expression
identify
without
need
computational
atlases.
