The
role
of
FGF
is
the
least
understood
morphogens
driving
mammalian
gastrulation.
Here
we
investigated
function
in
a
stem
cell
model
for
human
gastrulation
known
as
2D
gastruloid.
We
found
ring
FGF-dependent
ERK
activity
that
closely
follows
emergence
primitive
streak
(PS)-like
cells
but
expands
further
inward.
showed
this
pattern
required
PS-like
differentiation
and
loss
upon
receptor
inhibition
can
be
rescued
by
directly
activating
ERK.
demonstrated
ERK-ring
depends
on
localized
activation
basally
receptors
(FGFR)
endogenous
gradients.
confirm
extend
previous
studies
analyzing
expression
pathway
components,
showing
main
to
FGFR1
key
ligands
FGF2/4/17,
similar
monkey
embryo
different
from
mouse.
In
situ
hybridization
scRNA-seq
revealed
FGF4
FGF17
colocalize
with
PS
marker
TBXT
only
maintained
nascent
mesoderm
endoderm.
reduction
both
reduced
their
derivatives,
indicating
overlapping
function.
Thus,
have
identified
previously
unknown
signaling
gastruloids
possibly
embryo,
driven
mechanism
where
signal
through
induce
cells.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Feb. 17, 2024
Abstract
How
paracrine
signals
are
interpreted
to
yield
multiple
cell
fate
decisions
in
a
dynamic
context
during
human
development
vivo
and
vitro
remains
poorly
understood.
Here
we
report
an
automated
tracking
method
follow
signaling
histories
linked
large
numbers
of
pluripotent
stem
cells
(hPSCs).
Using
unbiased
statistical
approach,
discover
that
measured
BMP
history
correlates
strongly
with
individual
cells.
We
find
response
hPSCs
varies
more
the
duration
than
level.
However,
both
level
activity
control
choices
only
by
changing
time
integral.
Therefore,
interchangeable
this
context.
In
model
for
patterning
embryo,
show
predict
pattern
integral
correctly
predicts
changes
domains
when
is
perturbed.
Our
data
suggest
mechanistically,
integrated
SOX2.
NAR Genomics and Bioinformatics,
Journal Year:
2025,
Volume and Issue:
7(1)
Published: Jan. 7, 2025
Abstract
Understanding
the
role
of
transcription
and
factors
(TFs)
in
cellular
identity
disease,
such
as
cancer,
is
essential.
However,
comprehensive
data
resources
for
cell
line-specific
TF-to-target
gene
annotations
are
currently
limited.
To
address
this,
we
employed
a
straightforward
method
to
define
regulons
that
capture
cell-specific
aspects
TF
binding
transcript
expression
levels.
By
integrating
transcriptome
data,
generated
40
common
lines
comprising
both
proximal
distal
regulatory
events.
Through
systematic
benchmarking
involving
knockout
experiments,
demonstrated
performance
on
par
with
state-of-the-art
methods,
our
being
easily
applicable
other
types
interest.
We
present
case
studies
using
three
cancer
single-cell
datasets
showcase
utility
these
cell-type-specific
exploring
transcriptional
dysregulation.
In
summary,
this
study
provides
valuable
pipeline
resource
systematically
regulations,
emphasizing
network
analysis
deciphering
disease
mechanisms.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 4, 2025
Abstract
Embryogenesis
integrates
morphogenesis—coordinated
cell
movements—with
morphogen
patterning
and
differentiation.
While
largely
studied
independently,
morphogenesis
often
unfold
simultaneously
in
early
embryos.
Yet,
how
movements
affect
remains
unclear,
as
most
pattern
formation
models
assume
static
tissues.
We
address
this
gap
by
developing
a
mathematical
framework
for
dynamic
tissues,
reformulating
advection-reaction-diffusion
cells’
reference
frames—the
natural
signal
interpretation
fate
decisions.
This
(i)
elucidates
mediates
transport
compartmentalization:
multicellular
attractors
enhance
cell-cell
diffusive
transport,
while
repellers
act
barriers,
affecting
induction
bifurcations.
(ii)
It
formalizes
signaling
ranges
deconfounding
morphogenetic
identifying
which
cells
can
communicate.
(iii)
provides
two
nondimensional
numbers—typically
distinct
from
the
Péclet
number—to
assess
when
where
is
relevant
patterning.
(iv)
generative
role
of
density
dynamics
apply
to
classic
models,
motifs,
avian
gastrulation
data.
Broadly,
our
work
quantitative
perspective
rationalize
tissue
synthetic
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 10, 2025
Summary
Dorsal-ventral
patterning
of
neural
progenitors
in
the
posterior
tube,
which
gives
rise
to
spinal
cord,
has
served
as
a
model
system
understand
how
extracellular
signals
organize
developing
tissues.
While
previous
work
shown
that
signaling
gradients
diversify
progenitor
fates
at
dorsal
and
ventral
ends
tissue,
basis
fate
specification
intermediate
regions
remained
unclear.
Here
we
use
zebrafish
investigate
plate,
precedes
tube
formation,
show
its
pre-patterning
by
distinct
environment
enables
specification.
Systematic
spatial
analysis
transcription
factor
(TF)
expression
activity
using
reference-based
mapping
approach
shows
plate
is
partitioned
into
striking
complexity
TF
co-expression
states
that,
part,
correspond
gastrulation
such
FGF
Wnt
persist
through
axis
extension.
Using
toto
cellular
movement
combined
with
mapping,
find
dbx1b
-expressing
(p0)
originate
from
neural-plate
specific
state
characterized
transient
TFs
pax3a
,
olig4
her3
.
Finally,
this
defined
ectopic
activation
within
pax3a/olig4
+
cells
sufficient
promote
expression.
Our
data
broadly
support
occurs
sequential
multiple
progressively
tissue
it
develops.
This
implications
for
vitro
differentiation
cord
cell
types
understanding
signal-based
other
developmental
contexts.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 5, 2025
Cells
process
dynamic
signaling
inputs
to
regulate
fate
decisions
during
development.
While
oscillations
or
waves
in
key
developmental
pathways,
such
as
Wnt,
have
been
widely
observed,
the
principles
governing
how
cells
decode
these
signals
remain
unclear.
By
leveraging
optogenetic
control
of
Wnt
pathway
both
HEK293T
and
H9
human
embryonic
stem
cells,
we
systematically
map
relationship
between
signal
frequency
downstream
activation.
We
find
that
exhibit
a
minimal
response
at
certain
frequencies,
behavior
term
anti-resonance.
developed
detailed
biochemical
simplified
hidden
variable
models
explain
anti-resonance
emerges
from
interplay
fast
slow
dynamics.
Remarkably,
directly
influences
cell
involved
gastrulation;
delivered
anti-resonant
frequencies
result
dramatically
reduced
mesoderm
differentiation.
Our
work
reveals
previously
unknown
mechanism
may
filter
against
spurious
These
findings
establish
new
insights
into
with
implications
for
tissue
engineering,
regenerative
medicine,
cancer
biology.
The EMBO Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 31, 2025
Abstract
Diverse
sets
of
progenitors
contribute
to
the
development
embryonic
heart,
but
mechanisms
their
specification
have
remained
elusive.
Here,
using
a
human
pluripotent
stem
cell
(hPSC)
model,
we
deciphered
cardiac
and
non-cardiac
lineage
trajectories
in
differentiation
identified
transcription
factors
underpinning
specification,
identity
function.
We
discovered
concentration-dependent,
fate
determining
function
for
basic
helix-loop-helix
factor
HAND1
mesodermal
uncovered
its
gene
regulatory
network.
At
low
expression
level,
directs
towards
multipotent
juxta-cardiac
field
able
make
cardiomyocytes
epicardial
cells,
whereas
at
high
level
it
promotes
extraembryonic
mesoderm.
Importantly,
HAND1-low
can
be
propagated
state.
This
detailed
mechanistic
insight
into
has
potential
accelerate
delivery
effective
disease
modelling,
including
congenital
heart
disease,
therapy-based
regenerative
medicine.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: May 21, 2025
Abstract
The
RAS/ERK
pathway
plays
a
central
role
in
diagnosis
and
therapy
for
many
cancers.
ERK
activity
is
highly
dynamic
within
individual
cells
drives
cell
proliferation,
metabolism,
other
processes
through
effector
proteins
including
c-Myc,
c-Fos,
Fra-1,
Egr-1.
These
are
sensitive
to
the
dynamics
of
activity,
but
it
not
clear
what
extent
pattern
an
determines
protein
expression,
or
how
much
information
about
embedded
expression.
Here,
we
evaluate
these
relationships
using
live-cell
biosensor
measurements
multiplexed
with
immunofluorescence
staining
downstream
target
pathway.
Combining
datasets
linear
regression,
machine
learning,
differential
equation
models,
develop
interpretive
framework
data,
wherein
Fra-1
pRb
levels
imply
long-term
activation
signaling,
while
Egr-1
c-Myc
indicate
more
recent
activation.
Analysis
multiple
cancer
lines
reveals
distorted
relationship
between
state
malignant
cells.
We
show
that
this
can
infer
various
classes
from
stains
heterogeneous
population,
providing
basis
annotating
fixed