Cell cycle plasticity underlies fractional resistance to palbociclib in ER+/HER2− breast tumor cells
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(7)
Published: Feb. 7, 2024
The
CDK4/6
inhibitor
palbociclib
blocks
cell
cycle
progression
in
Estrogen
receptor-positive,
human
epidermal
growth
factor
2
receptor-negative
(ER+/HER2-)
breast
tumor
cells.
Despite
the
drug's
success
improving
patient
outcomes,
a
small
percentage
of
cells
continues
to
divide
presence
palbociclib-a
phenomenon
we
refer
as
fractional
resistance.
It
is
critical
understand
cellular
mechanisms
underlying
resistance
because
precise
resistant
tissue
strong
predictor
clinical
outcomes.
Here,
hypothesize
that
arises
from
cell-to-cell
differences
core
regulators
allow
subset
escape
therapy.
We
used
multiplex,
single-cell
imaging
identify
fractionally
both
cultured
and
primary
samples
resected
patients.
Resistant
showed
premature
accumulation
multiple
G1
including
E2F1,
retinoblastoma
protein,
CDK2,
well
enhanced
sensitivity
pharmacological
inhibition
CDK2
activity.
Using
trajectory
inference
approaches,
show
how
plasticity
among
gives
rise
alternate
"paths"
individual
treatment.
Understanding
drivers
plasticity,
eliminate
paths,
could
lead
improved
cancer
therapies
targeting
improve
Language: Английский
Gene-level alignment of single-cell trajectories
Nature Methods,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 19, 2024
Language: Английский
Distinct gene regulatory dynamics drive skeletogenic cell fate convergence during vertebrate embryogenesis
Menghan Wang,
No information about this author
Ana Di Pietro-Torres,
No information about this author
Christian Feregrino
No information about this author
et al.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 4, 2025
Cell
type
repertoires
have
expanded
extensively
in
metazoan
animals,
with
some
clade-specific
cells
being
crucial
to
evolutionary
success.
A
prime
example
are
the
skeletogenic
of
vertebrates.
Depending
on
anatomical
location,
these
originate
from
three
different
precursor
lineages,
yet
they
converge
developmentally
towards
similar
cellular
phenotypes.
Furthermore,
their
'skeletogenic
competency'
arose
at
distinct
timepoints,
thus
questioning
what
extent
skeletal
body
parts
rely
truly
homologous
cell
types.
Here,
we
investigate
how
lineage-specific
molecular
properties
integrated
gene
regulatory
level,
allow
for
fate
convergence.
Using
single-cell
functional
genomics,
find
that
transcription
factor
profiles
inherited
states
and
incorporated
enhancer
elements.
This
logic
suggests
regionalized
types,
rendering
them
amenable
individualized
selection,
define
adaptive
morphologies
biomaterial
vertebrate
skeleton.
Language: Английский
Distinct Gene Regulatory Dynamics Drive Skeletogenic Cell Fate Convergence During Vertebrate Embryogenesis
Menghan Wang,
No information about this author
Ana Di Pietro-Torres,
No information about this author
Christian Feregrino
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 29, 2024
Abstract
Cell
type
repertoires
have
expanded
extensively
in
metazoan
animals,
with
some
clade-specific
cells
being
paramount
to
their
evolutionary
success.
A
prime
example
are
the
skeletogenic
of
vertebrates
that
form
basis
developing
endoskeletons.
Depending
on
anatomical
location,
these
originate
from
three
different
embryonic
precursor
lineages
–
neural
crest,
somites,
and
lateral
plate
mesoderm
yet
they
converge
developmentally
towards
similar
cellular
phenotypes.
Furthermore,
gained
‘skeletogenic
competency’
at
distinct
timepoints
during
vertebrate
evolution,
thus
questioning
what
extent
parts
skeleton
rely
truly
homologous
cell
types.
Here,
we
investigate
how
lineage-specific
molecular
properties
pools
integrated
gene
regulatory
level,
allow
for
phenotypic
convergence
a
fate.
Using
single-cell
transcriptomics
chromatin
accessibility
profiling
along
precursor-to-skeletogenic
continuum,
examine
dynamics
associated
this
fate
convergence.
We
find
transcription
factor
profiles
inherited
states,
enhancer
elements
integrate
inputs
cis
-regulatory
execute
core
program.
propose
logic
pools.
Early
skeletal
body
share
only
partial
‘deep
homology’.
This
uncoupling
may
render
them
amenable
individualized
selection,
help
define
morphologies
biomaterial
skeleton.
Language: Английский
Gene-level alignment of single cell trajectories
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: March 10, 2023
Abstract
Single-cell
data
analysis
can
infer
dynamic
changes
in
cell
populations,
for
example
across
time,
space
or
response
to
perturbation.
To
compare
these
dynamics
between
two
conditions,
trajectory
alignment
via
programming
(DP)
optimization
is
frequently
used,
but
limited
by
assumptions
such
as
a
definite
existence
of
match.
Here
we
describe
Genes2Genes
,
Bayesian
information-theoretic
DP
framework
aligning
single-cell
trajectories.
overcomes
current
limitations
and
able
capture
sequential
matches
mismatches
reference
query
at
single
gene
resolution,
highlighting
distinct
clusters
genes
with
varying
patterns
expression
dynamics.
Across
both
real
world
simulated
datasets,
accurately
captured
different
patterns,
demonstrated
its
utility
disease
state
analysis,
revealed
that
T
cells
differentiated
vitro
matched
an
immature
vivo
while
lacking
associated
TNFɑ
signaling.
This
use
case
demonstrates
precise
pinpoint
divergence
from
the
system,
thus
guiding
culture
conditions.
Language: Английский
Cell cycle plasticity underlies fractional resistance to palbociclib in ER+/HER2- breast tumor cells
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: May 24, 2023
ABSTRACT
The
CDK4/6
inhibitor
palbociclib
blocks
cell
cycle
progression
in
ER+/HER2-
breast
tumor
cells.
Although
these
drugs
have
significantly
improved
patient
outcomes
metastatic
cancers,
a
small
percentage
of
cells
continues
to
divide
the
presence
palbociclib—a
phenomenon
we
refer
as
fractional
resistance.
It
is
critical
understand
cellular
mechanisms
underlying
resistance
because
precise
resistant
tissue
strong
predictor
clinical
outcome.
Here,
hypothesize
that
arises
from
cell-to-cell
differences
core
regulators
allow
subset
escape
therapy.
We
used
multiplex,
single-cell
imaging
identify
fractionally
both
culture
model
cancer
well
live
primary
resected
patient.
found
capable
proliferating
showed
expected
(e.g.,
CDK2,
E2F1)
and
unexpected
Cdt1,
p21,
cyclin
B1)
shifts
regulators.
Notably,
models
premature
enrichment
G1
E2F1
CDK2
protein
and,
unexpectedly,
G2/M
regulator
B1
just
before
entry,
suggesting
may
use
noncanonical
overcome
inhibition.
Using
computational
data
integration
trajectory
inference
approaches,
show
how
plasticity
gives
rise
alternate
“paths”
individual
treatment.
Understanding
drivers
plasticity,
eliminate
paths,
could
lead
therapies
targeting
improve
outcomes.
Language: Английский
The Lomb-Scargle periodogram-based differentially expressed gene detection along pseudotime
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 21, 2024
Abstract
Motivation
In
recent
years,
single-cell
RNA
sequencing
(scRNA-seq)
has
provided
high-resolution
snapshots
of
biological
processes
and
contributed
to
the
understanding
cell
dynamics.
Trajectory
inference
potential
provide
a
quantitative
representation
dynamics,
several
trajectory
algorithms
have
been
developed.
However,
downstream
analysis
inference,
such
as
differentially
expressed
genes
(DEG),
remains
challenging.
Results
this
study,
we
introduce
Lomb-Scargle
(LS)
periodogram-based
algorithm
for
identifying
DEGs
associated
with
pseudotime
in
analysis.
The
is
capable
analyzing
any
inferred
trajectory,
including
tree
structures
multiple
branching
points,
leading
diverse
types.
We
validated
approach
using
simulated
data
real
datasets,
our
results
showed
that
was
superior
when
performing
DEG
on
complex
structured
trajectories.
Our
will
contribute
gene
characterization
help
gain
deeper
insights.
Availability
All
code
used
proposed
method
can
be
found
at
https://github.com/hiuchi/LS
.
Contact
[email protected]
Supplementary
information
are
available
Journal
Name
online.
Language: Английский