Journal of the American Society of Nephrology,
Journal Year:
2021,
Volume and Issue:
33(2), P. 279 - 289
Published: Dec. 1, 2021
Significance
Statement
AKI
is
characterized
by
a
sudden
loss
of
kidney
function
often
followed
the
restoration
through
repair.
Single-cell
RNA
sequencing
efforts
have
aided
in
identification
cell
types
and
states
important
injury,
repair,
failed
These
transcriptomic
atlases
lack
spatial
information,
complicating
interpretation
relevant
cellular
interactions.
Therefore,
we
generated
time
course
female
ischemic
defining
temporal
location-specific
gene
expression
patterns
injury
markers.
Gene
type
interactions
were
resolved
across
points
using
computational
tools
Giotto
SPOTlight.
results
been
packaged
into
an
interactive
data
visualization
tool
for
target
discovery
validation
throughout
research
communities.
Background
technologies
advanced
our
understanding
biology
disease,
but
information
these
datasets
hinders
intercellular
communication
networks
regional
patterns.
New
platforms
make
it
possible
to
measure
topography
at
genome
depth.
Methods
We
optimized
validated
bilateral
ischemia-reperfusion
model.
Using
10×
Genomics
Visium
Spatial
Expression
solution,
maps
repair
course,
applied
two
open-source
tools,
SPOTlight,
increase
resolution
cell-cell
interaction
dynamics.
Results
An
ischemia
34
minutes
murine
model
resulted
comparable
22
males.
report
total
16,856
unique
genes
mapped
course.
Giotto,
toolbox
analysis,
enabled
increased
mapping
types.
seeded
nonnegative
matrix
regression
(SPOTlight)
deconvolute
dynamic
landscape
interactions,
found
that
injured
proximal
tubule
cells
increasing
macrophage
lymphocyte
even
6
weeks
after
potentially
reflecting
CKD
transition.
Conclusions
In
this
atlas,
defined
region-specific
injury-induced
differentiation
markers
their
re-expression
during
as
well
transcriptional
responses.
Lastly,
created
application
scientific
community
explore
(http://humphreyslab.com/SingleCell/).
Genome biology,
Journal Year:
2021,
Volume and Issue:
22(1)
Published: March 8, 2021
Abstract
Spatial
transcriptomic
and
proteomic
technologies
have
provided
new
opportunities
to
investigate
cells
in
their
native
microenvironment.
Here
we
present
Giotto,
a
comprehensive
open-source
toolbox
for
spatial
data
analysis
visualization.
The
module
provides
end-to-end
by
implementing
wide
range
of
algorithms
characterizing
tissue
composition,
expression
patterns,
cellular
interactions.
Furthermore,
single-cell
RNAseq
can
be
integrated
cell-type
enrichment
analysis.
visualization
allows
users
interactively
visualize
outputs
imaging
features.
To
demonstrate
its
general
applicability,
apply
Giotto
datasets
encompassing
diverse
platforms.
Nature,
Journal Year:
2023,
Volume and Issue:
619(7970), P. 585 - 594
Published: July 19, 2023
Abstract
Understanding
kidney
disease
relies
on
defining
the
complexity
of
cell
types
and
states,
their
associated
molecular
profiles
interactions
within
tissue
neighbourhoods
1
.
Here
we
applied
multiple
single-cell
single-nucleus
assays
(>400,000
nuclei
or
cells)
spatial
imaging
technologies
to
a
broad
spectrum
healthy
reference
kidneys
(45
donors)
diseased
(48
patients).
This
has
provided
high-resolution
cellular
atlas
51
main
types,
which
include
rare
previously
undescribed
populations.
The
multi-omic
approach
provides
detailed
transcriptomic
profiles,
regulatory
factors
localizations
spanning
entire
kidney.
We
also
define
28
states
across
nephron
segments
interstitium
that
were
altered
in
injury,
encompassing
cycling,
adaptive
(successful
maladaptive
repair),
transitioning
degenerative
states.
Molecular
signatures
permitted
localization
these
injury
using
transcriptomics,
while
large-scale
3D
analysis
(around
1.2
million
neighbourhoods)
corresponding
linkages
active
immune
responses.
These
analyses
defined
biological
pathways
are
relevant
time-course
niches,
including
underlying
epithelial
repair
predicted
with
decline
function.
integrated
multimodal
human
represents
comprehensive
benchmark
neighbourhoods,
outcome-associated
publicly
available
interactive
visualizations.
Nature Communications,
Journal Year:
2021,
Volume and Issue:
12(1)
Published: April 15, 2021
Abstract
Determining
the
epigenetic
program
that
generates
unique
cell
types
in
kidney
is
critical
for
understanding
cell-type
heterogeneity
during
tissue
homeostasis
and
injury
response.
Here,
we
profile
open
chromatin
gene
expression
developing
adult
mouse
kidneys
at
single
resolution.
We
show
reliance
of
on
distal
regulatory
elements
(enhancers).
reveal
key
type-specific
transcription
factors
major
gene-regulatory
circuits
cells.
Dynamic
changes
nephron
progenitor
differentiation
demonstrates
podocyte
commitment
occurs
early
associated
with
sustained
Foxl1
expression.
Renal
tubule
cells
follow
a
more
complex
differentiation,
where
Hfn4a
proximal
Tfap2b
fate.
Mapping
nucleotide
variants
human
disease
implicates
types,
developmental
stages,
genes,
mechanisms.
The
multi-omics
atlas
reveals
remodeling
events
dynamics
development.
Proceedings of the National Academy of Sciences,
Journal Year:
2021,
Volume and Issue:
118(27)
Published: June 28, 2021
Significance
A
single
acute
kidney
injury
event
increases
the
risk
of
progression
to
chronic
disease
(CKD).
Combining
single-nucleus
RNA
sequencing
with
genetic
tracing
injured
proximal
tubule
cells
identified
a
spatially
dynamic,
evolving
response
following
ischemia–reperfusion
injury.
Failed
repair
leads
persistence
profibrotic,
proinflammatory
Vcam1
+
/
Ccl2
cell
type
exhibiting
senescence-associated
secretory
phenotype
and
marked
transcriptional
activation
NF-κB
AP-1
pathway
signatures,
but
no
signs
G
2
/M
cycle
arrest.
Insights
from
this
study
can
inform
strategies
improve
renal
prevent
CKD
progression.
Journal of the American Society of Nephrology,
Journal Year:
2021,
Volume and Issue:
32(4), P. 897 - 912
Published: March 4, 2021
The
repertoire
of
protein
expression
along
the
renal
tubule
depends
both
on
regulation
transcription
and
alternative
splicing
that
can
generate
multiple
proteins
from
a
single
gene.A
full-length,
small-sample
RNA-seq
protocol
profiled
transcriptomes
for
all
14
segments
microdissected
mouse
kidneys.This
study
identified
>34,000
transcripts,
including
3709
were
expressed
in
segment-specific
manner.
All
data
are
provided
as
an
online
resource
(https://esbl.nhlbi.nih.gov/MRECA/Nephron/).
Many
genes
unique
patterns
solute
carriers,
factors,
or
G
protein-coupled
receptors
account
function.
Mapping
distribution
transcripts
associated
with
Wnk-SPAK-PKA
signaling,
renin-angiotensin-aldosterone
cystic
diseases
kidney
illustrated
applications
resource.
method
allowed
full-length
mapping
reads,
which
facilitated
comprehensive,
unbiased
characterization
exon
usage
tubule,
known
isoforms
Cldn10,
Kcnj1
(ROMK),
Slc12a1
(NKCC2),
Wnk1,
Stk39
(SPAK),
Slc14a2
(UT-A
urea
transporter).
It
also
many
novel
distribution.
These
included
variants
altered
structure
(Slc9a8,
Khk,
Tsc22d1,
Scoc),
may
affect
untranslated,
regulatory
regions
(Pth1r,
Pkar1a,
Dab2).Full-length,
sequencing
gene-expression
tubule.
data,
resource,
include
quantitative
qualitative
differences
transcripts.
Identification
prove
critical
to
understanding
physiology
pathophysiology.
Journal of the American Society of Nephrology,
Journal Year:
2020,
Volume and Issue:
31(12), P. 2793 - 2814
Published: Oct. 28, 2020
Significance
Statement
Because
current
management
of
the
rapid
renal-function
decline
in
AKI
is
merely
supportive,
deeper
understanding
AKI-perturbed
molecular
pathways
needed
to
identify
targets
with
potential
lead
improved
treatment.
In
a
murine
model,
authors
used
single-cell
RNA
sequencing,
single-molecule
situ
hybridization,
and
protein
expression
analyses
create
first
comprehensive
renal
cell
type–specific
transcriptional
profiles
for
multiple
stages.
Their
findings
revealed
marked
nephrogenic
signature
surprising
mixed-identity
cells
(expressing
markers
different
types)
injured
tubules.
Moreover,
identified
pathologic
epithelial-to-stromal
crosstalk
several
novel
genes
not
previously
implicated
AKI,
demonstrated
that
older
onset
age
exacerbates
outcome.
This
work
provides
rich
resource
examining
genetics
AKI.
Background
Current
potentially
fatal
disorder
can
also
initiate
or
exacerbate
CKD,
supportive.
Therefore,
perturbed
Methods
We
performed
sequencing
(scRNA-seq)
clinically
relevant
unilateral
ischemia-reperfusion
model
at
days
1,
2,
4,
7,
11,
14
after
onset.
Using
real-time
quantitative
PCR,
immunofluorescence,
Western
blotting,
both
chromogenic
hybridizations,
we
validated
signatures
experiments.
Results
Our
show
time
course
changing
gene
patterns
stages
all
types.
observed
elevated
crucial
injury
response
factors—including
kidney
molecule-1
(Kim1),
lipocalin
2
(Lcn2),
keratin
8
(Krt8)—and
(
Ahnak
,
Sh3bgrl3
Col18a1
)
examined
pathologies.
induced
proximal
tubule
dedifferentiation,
pronounced
represented
by
Sox4
Cd24a
.
caused
formation
“mixed-identity
cells”
are
normally
seen
only
during
early
development.
The
tubules
acquired
proinflammatory
profibrotic
phenotype;
moreover,
dramatically
modified
ligand-receptor
crosstalk,
interactions.
Advancing
was
associated
maladaptive
fibrosis.
Conclusions
scRNA-seq,
comprehensive,
cell-specific
provide
valuable
results
fully
define
AKI-associated
dedifferentiation
programs,
genes,
younger
mice,
highlight
injury.