Epigenetic
modifications
of
chromatin
are
essential
for
the
establishment
cell
identities
during
embryogenesis.
Between
embryonic
days
3.5–7.5
murine
development,
major
lineage
decisions
made
that
discriminate
extraembryonic
and
tissues,
primary
germ
layers
formed,
thereby
laying
down
basic
body
plan.
In
this
review,
we
cover
contribution
dynamic
by
DNA
methylation,
changes
accessibility,
histone
modifications,
in
combination
with
transcription
factors
control
gene
expression
programs
different
types.
We
highlight
differences
regulation
enhancer
promoter
marks
discuss
their
requirement
specification.
Importantly,
many
cases,
lineage‐specific
targeting
epigenetic
modifiers
is
carried
out
pioneer
or
master
factors,
sum
mediate
landscape
cell‐type‐specific
thus,
identities.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 14, 2025
Abstract
Primordial
germ
cells
(PGCs)
are
the
embryonic
precursors
of
gametes.
In
mice
and
rats,
PGCs
can
readily
acquire
pluripotency
in
vitro
by
forming
(EGCs).
To
date,
a
comparable
system
has
not
been
established
humans,
despite
fact
that
human
(hPGCs)
undergo
pluripotent
conversion
context
cell
tumorigenesis.
Here
we
report
hPGC-like
(hPGCLCs)
to
germ-like
(hEGCLCs)
upon
exposure
same
inductive
signals
previously
used
derive
mouse
EGCs.
This
defined,
feeder-free
culture
allows
efficient
derivation
EGCLCs
which
be
expanded
maintained
standard
stem
medium.
hEGCLCs
transcriptionally
similar
(hPSCs)
differentiate
into
all
three
layers,
as
well
giving
rise
PGCLCs
once
more
-
demonstrating
interconvertibility
states.
is
also
evident
at
epigenetic
level,
initial
DNA
demethylation
occurs
hPGCLCs
largely
reversed
hEGCLCs,
restoring
methylation
level
observed
hPSCs.
new
model
captures
transition
from
state
identity
back
again,
therefore
represents
highly
tractable
study
transitions,
including
those
occur
during
Graphical
abstract
brief
We
first
fully
defined
efficiently
convert
(PSC)
state.
tracked
transitions
multi-omic
analysis
provided
high-resolution
map
transcriptional
epigenomic
entry
exit
germline.
Highlights
Efficient
hEGCLC
conditions
Single-cell
transcriptomic
profiling
hPSC
back.
Longitudinal
highlights
overall
reversibility
states
Multi-omic
gene
regulatory
network
identifies
key
regulators
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 22, 2025
We
present
a
genome-scale
method
to
map
the
single-molecule
co-occupancy
of
structurally
distinct
nucleosomes,
subnucleosomes,
and
other
protein-DNA
interactions
via
long-read
high-resolution
adenine
methyltransferase
footprinting.
I
teratively
D
efined
L
engths
Inaccessibility
(IDLI)
classifies
nucleosomes
on
basis
shared
patterns
intranucleosomal
accessibility,
into:
i.)
minimally-accessible
chromatosomes;
ii.)
octasomes
with
stereotyped
DNA
accessibility
from
superhelical
locations
(SHLs)
±1
through
±7;
iii.)
highly-accessible
unwrapped
nucleosomes;
iv.)
subnucleosomal
species,
such
as
hexasomes,
tetrasomes,
short
protections.
Applying
IDLI
mouse
embryonic
stem
cell
(mESC)
chromatin,
we
discover
widespread
nucleosomal
distortion
individual
mammalian
chromatin
fibers,
>85%
surveyed
displaying
degrees
intranucleosomally
accessible
DNA.
observe
epigenomic-domain-specific
distorted
nucleosome
positioning,
including
at
enhancers,
promoters,
satellite
repeat
sequences.
Nucleosome
is
programmed
by
presence
bound
transcription
factors
(TFs)
cognate
motifs;
occupied
TF
binding
sites
are
differentially
decorated
compared
unbound
sites,
degradation
experiments
establish
direct
roles
for
TFs
in
structuring
binding-site
proximal
nucleosomes.
Finally,
apply
context
primary
hepatocytes,
observing
evidence
pervasive
vivo.
Further
genetic
reveal
role
hepatocyte
master
regulator
FOXA2
directly
impacting
hepatocyte-specific
regulatory
elements
vivo
.
Our
work
suggests
extreme-but
regulated-plasticity
level.
Further,
our
study
offers
an
essential
new
framework
model
factor
binding,
remodeling,
cell-type
specific
gene
regulation
across
biological
contexts.
Vavilov Journal of Genetics and Breeding,
Год журнала:
2025,
Номер
28(8), С. 974 - 981
Опубликована: Янв. 26, 2025
Gene
regulatory
networks
(GRNs)
–
interpretable
graph
models
of
gene
expression
regulation
are
a
pivotal
tool
for
understanding
and
investigating
the
mechanisms
utilized
by
cells
during
development
in
response
to
various
internal
external
stimuli.
Historically,
first
approach
GRN
reconstruction
was
based
on
analysis
published
data
(including
those
summarized
databases).
Currently,
primary
inference
is
omics
(mainly
transcriptomic)
data;
number
mathematical
methods
have
been
adapted
that.
Obtaining
individual
has
made
it
possible
conduct
large-scale
molecular
genetic
studies
with
an
extremely
high
resolution.
In
particular,
become
reconstruct
GRNs
cell
types
states.
However,
technical
biological
features
single-cell
require
specific
approaches
inference.
This
review
describes
programs
that
used
from
RNA
sequencing
(scRNA-seq)
data.
We
consider
advantages
using
scRNA-seq
compared
bulk
RNA-seq,
as
well
challenges
pay
attention
state-of-the-art
transcriptomes
recruiting
other
data,
primarily
transcription
factor
binding
sites
open
chromatin
profiles
(scATAC-seq),
order
increase
accuracy.
The
also
considers
applicability
reconstructed
recover
characterize
processes.
Future
perspectives
this
area
discussed.
Epigenetic
modifications
of
chromatin
are
essential
for
the
establishment
cell
identities
during
embryogenesis.
Between
embryonic
days
3.5–7.5
murine
development,
major
lineage
decisions
made
that
discriminate
extraembryonic
and
tissues,
primary
germ
layers
formed,
thereby
laying
down
basic
body
plan.
In
this
review,
we
cover
contribution
dynamic
by
DNA
methylation,
changes
accessibility,
histone
modifications,
in
combination
with
transcription
factors
control
gene
expression
programs
different
types.
We
highlight
differences
regulation
enhancer
promoter
marks
discuss
their
requirement
specification.
Importantly,
many
cases,
lineage‐specific
targeting
epigenetic
modifiers
is
carried
out
pioneer
or
master
factors,
sum
mediate
landscape
cell‐type‐specific
thus,
identities.