Frontiers in Cell and Developmental Biology,
Год журнала:
2023,
Номер
11
Опубликована: Май 17, 2023
Enhancers
are
a
class
of
cis-regulatory
elements
in
the
genome
that
instruct
spatiotemporal
transcriptional
program.
Last
decade
has
witnessed
an
exploration
non-coding
transcripts
pervasively
transcribed
from
active
enhancers
diverse
contexts,
referred
to
as
enhancer
RNAs
(eRNAs).
Emerging
evidence
unequivocally
suggests
eRNAs
important
layer
regulation.
In
this
mini-review,
we
summarize
well-established
regulatory
models
for
eRNA
actions
and
highlight
recent
insights
into
structure
chemical
modifications
underlying
their
functions.
We
also
explore
potential
roles
condensates.
Journal of Chemical Information and Modeling,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 17, 2025
Protein-nucleic
acid
interactions
play
a
crucial
role
in
many
physiological
processes.
Identifying
the
binding
sites
of
nucleotides
on
protein
surface
is
prerequisite
for
understanding
molecular
recognition
mechanisms
between
two
types
macromolecules
and
also
provides
information
to
design
or
generate
molecule
modulators
against
these
manipulate
biological
function
according
specific
requirements.
Existing
studies
mainly
focus
characterizing
local
surfaces
around
sites,
often
neglecting
interrelationships
among
global
information.
To
address
this
gap,
we
propose
NesT-NABind,
Nested
Transformer
Nucleic
Acid-Binding
site
prediction.
This
model
leverages
Transformer's
advanced
capabilities
contextual
long-range
dependency
capturing.
Specifically,
introduce
patch-scale
process
each
protein-scale
transformer
integrate
sequence
entire
protein.
These
Transformers
operate
at
different
scales
protein,
hence
term
"nested".
Experiments
demonstrate
that
NesT-NABind
achieves
5.57%
improvement
F1
score
3.64%
AUPRC
compared
state-of-the-art
methods.
With
incorporation
features,
shows
an
enhanced
predictive
capability
challenging
large
proteins
therefore
can
be
used
much
wider
range
applications.
Journal of Virology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 31, 2025
The
human
genome
is
like
a
museum
of
ancient
retroviral
infections.
It
contains
large
number
endogenous
retroviruses
(ERVs)
that
bear
witness
to
past
integration
events.
About
5,000
them
are
so-called
long
terminal
repeat
12
(LTR12)
elements.
Compared
with
20,000
genes,
this
remarkable
number.
Although
LTR12
elements
can
act
as
promoters
or
enhancers
cellular
the
function
most
these
has
remained
unclear.
In
our
mini-review,
we
show
different
share
many
similarities,
including
common
transcription
factor
binding
sites.
Furthermore,
summarize
novel
insights
into
epigenetic
mechanisms
governing
their
silencing
and
activation.
Specific
examples
genes
pathways
regulated
by
loci
used
illustrate
regulatory
network
built
repetitive
A
particular
focus
on
role
in
regulation
antiviral
immune
responses,
tumor
cell
proliferation,
senescence.
Finally,
describe
how
targeted
activation
fascinating
ERV
family
could
be
for
diagnostic
therapeutic
purposes.
Nature Communications,
Год журнала:
2025,
Номер
16(1)
Опубликована: Апрель 16, 2025
Abstract
A
cell
is
governed
by
the
interaction
of
myriads
macromolecules.
Inferring
such
a
network
interactions
has
remained
an
elusive
milestone
in
cellular
biology.
Building
on
recent
advances
large
foundation
models
and
their
ability
to
learn
without
supervision,
we
present
scPRINT,
model
for
inference
gene
networks
pre-trained
more
than
50
million
cells
from
cellxgene
database.
Using
innovative
pretraining
tasks
architecture,
scPRINT
pushes
transformer
towards
interpretability
usability
when
uncovering
complex
biology
cell.
Based
our
atlas-level
benchmarks,
demonstrates
superior
performance
state
art,
as
well
competitive
zero-shot
abilities
denoising,
batch
effect
correction,
label
prediction.
On
atlas
benign
prostatic
hyperplasia,
highlights
profound
connections
between
ion
exchange,
senescence,
chronic
inflammation.
Circular
RNA
(circRNA)
is
a
class
of
noncoding
with
regulatory
potentials.
Its
role
in
the
transdifferentiation
prostate
and
lung
adenocarcinoma
into
neuroendocrine
cancer
(NEPC)
small
cell
(SCLC)
remains
unexplored.
Here,
we
identified
circRMST
as
an
exceptionally
abundant
circRNA
predominantly
expressed
NEPC
SCLC,
strong
conservation
between
humans
mice.
Functional
studies
using
shRNA,
siRNA,
CRISPR-Cas13,
Cas9
consistently
demonstrate
that
essential
for
tumor
growth
expression
ASCL1,
master
regulator
fate.
Genetic
knockout
Rmst
genetic
engineered
mouse
models
prevents
transdifferentiation,
maintaining
tumors
state.
Mechanistically,
physically
interacts
lineage
transcription
factors
NKX2-1
SOX2.
Loss
induces
protein
degradation
through
autophagy-lysosomal
pathway
alters
genomic
binding
SOX2,
collectively
leading
to
loss
ASCL1
transcription.
Transcription
Factor
(TF)
condensates
are
a
heterogenous
mix
of
RNA,
DNA,
and
multiple
co-factor
proteins
capable
modulating
the
transcriptional
response
cell.
The
dynamic
nature
spatial
location
TF-condensates
in
3D
nuclear
space
is
believed
to
provide
fast
response,
which
on
same
pace
as
signaling
cascade
yet
ever-so-specific
crowded
environment
nucleus.
However,
current
understanding
how
can
achieve
these
feet
so
quickly
efficiently
still
unclear.
In
this
review,
we
draw
parallels
with
other
protein
share
our
speculations
nucleus
uses
high
specificity
fidelity.
We
discuss
various
constituents
TF-condensates,
their
properties,
known
unknown
functions
particular
focus
steroid
signaling-induced
programs.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Март 22, 2024
Abstract
RNA-binding
proteins
are
central
for
many
biological
processes
and
their
characterization
has
demonstrated
a
broad
range
of
functions
as
well
wide
spectrum
target
structures.
RNA
G-quadruplexes
important
regulatory
elements
occurring
in
both
coding
non-coding
transcripts,
yet
our
knowledge
structure-based
interactions
is
at
present
limited.
Here,
using
theoretical
predictions
experimental
approaches,
we
show
that
chromatin-binding
bind
to
G-quadruplexes,
classify
them
based
on
G-quadruplex-binding
potential.
Combining
identification
nuclear
with
computational
build
prediction
tool
assigns
probability
score
protein
G-quadruplexes.
We
predicted
G-quadruplex
exhibit
high
degree
disorder
hydrophilicity
suggest
involvement
transcription
phase-separation
into
membrane-less
organelles.
Finally,
the
G4-Folded/UNfolded
Nuclear
Interaction
Explorer
System
(G4-FUNNIES)
estimating
G4-binding
propensities
http://service.tartaglialab.com/new_submission/G4FUNNIES
.