Anticancer Plant Secondary Metabolites Evicting Linker Histone H1.2 from Chromatin Activate Type I Interferon Signaling
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(1), P. 375 - 375
Published: Jan. 4, 2025
Previously
we
discovered
that
among
15
DNA-binding
plant
secondary
metabolites
(PSMs)
possessing
anticancer
activity,
11
compounds
cause
depletion
of
the
chromatin-bound
linker
histones
H1.2
and/or
H1.4.
Chromatin
remodeling
or
multiH1
knocking-down
is
known
to
promote
upregulation
repetitive
elements,
ultimately
triggering
an
interferon
(IFN)
response.
Herein,
using
HeLa
cells
and
applying
fluorescent
reporter
assay
with
flow
cytometry,
immunofluorescence
staining
quantitative
RT-PCR,
studied
effects
PSMs
both
evicting
from
chromatin
not
influencing
their
location
in
nucleus.
We
found
(1)
8
PSMs,
histone
chromatin,
activated
significantly
type
I
IFN
signaling
pathway
out
these
resveratrol,
berberine,
genistein,
delphinidin,
naringenin
curcumin
also
caused
LINE1
expression.
Fisetin
quercetin,
which
induced
eviction
only
signaling,
but
expression;
(2)
curcumin,
sanguinarine
kaempferol,
causing
significant
H1.4
presence
activate
less
intensively
without
any
changes
(3)
four
did
eviction,
displayed
neither
activation
nor
enhancement
Thus,
have
shown
for
first
time
destabilization
observed
by
accompanied
expression
often
impacts
this
activation.
Language: Английский
Immunoredox model for interpretation and prediction of human diseases
Young Jun Kim,
No information about this author
Hyungdon Lee,
No information about this author
Sofian Abdul-Nasir
No information about this author
et al.
Molecular & Cellular Toxicology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 13, 2025
Language: Английский
Bridging peptide presentation and T cell recognition with multi-task learning
Li Su,
No information about this author
Duolin Wang,
No information about this author
Dong Xu
No information about this author
et al.
Nature Machine Intelligence,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 20, 2025
Language: Английский
Prediction of the infecting organism in peritoneal dialysis patients with acute peritonitis using interpretable Tsetlin Machines
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 5, 2025
Abstract
Motivation
The
analysis
of
complex
biomedical
datasets
is
becoming
central
to
understanding
disease
mechanisms,
aiding
risk
stratification
and
guiding
patient
management.
However,
the
utility
computational
methods
often
constrained
by
their
lack
interpretability
accessibility
for
non-experts,
which
particularly
relevant
in
clinically
critical
areas
where
rapid
initiation
targeted
therapies
key.
Results
To
define
diagnostically
immune
signatures
peritoneal
dialysis
patients
presenting
with
acute
peritonitis,
we
analysed
a
comprehensive
array
cellular
soluble
parameters
cloudy
effluents.
Utilising
Tsetlin
Machines
(TMs),
logic-based
machine
learning
approach,
identified
pathogen-specific
fingerprints
different
bacterial
groups,
each
characterised
unique
biomarker
combinations.
Unlike
traditional
‘black
box’
models
such
as
artificial
neural
networks,
TMs
clear,
logical
rules
dataset
that
pointed
towards
distinctly
nuanced
responses
types
infection.
This
demonstrates
unambiguously
even
when
infecting
same
anatomical
location
causing
indistinguishable
symptoms,
type
pathogens
interacts
specific
way
body’s
system.
Importantly,
these
could
be
easily
visualised
facilitate
interpretation,
thereby
not
only
enhancing
diagnostic
accuracy
but
also
potentially
allowing
rapid,
accurate
transparent
decision-making
based
on
patient’s
profile.
capacity
help
deliver
clear
actionable
insights
early
support
informed
treatment
choices
advance
conventional
microbiological
culture
results,
thus
antibiotic
stewardship
contributing
improved
outcomes.
Availability
implementation
All
underlying
tools
present
are
available
at
https://github.com/anatoliy-gorbenko/biomarkers-visualization
.
anonymised
data
this
article
will
shared
reasonable
request
corresponding
authors.
Language: Английский
The 4 functional segments of Factor H: Role in physiological target recognition and contribution to disease
Peter F. Zipfel,
No information about this author
Karin Heidenreich
No information about this author
The Journal of Immunology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 12, 2025
Abstract
Factor
H
controls
proximal
complement
activation,
and
its
dysfunction
leads
to
diseases
that
often
manifest
in
the
kidney.
Structural
functional
analyses
have
identified
4
distinct
segments:
an
N-terminal
regulatory
unit,
a
cell
binding
segment
with
combined
low-affinity
C3b
heparin
sites,
C-terminal
recognition
or
sensor
unit
overlapping
C3b/C3d
sites.
Three
segments
are
linked
diseases.
The
is
affected
C3
glomerulopathy
antineutrophil
cytoplasmic
antibody–associated
vasculitis.
second
includes
Y402H
polymorphism
of
age-related
macular
degeneration,
associated
different
types
cancer,
targeted
by
pathogens.
involved
atypical
hemolytic
uremic
syndrome,
FHR1:FHR3
deficient
autoantibody–positive
syndrome
form
exploited
function
modulated
like
protein
1
FHR1,
2
plasma
proteins
share
H.
This
interplay
critical
for
fine-tuning
local
complement.
Understanding
H’s
physiological
role,
as
well
impact
absence,
mutations,
autoantibody
targeting,
provides
insights
into
disease
mechanisms
opportunities
therapeutic
intervention
using
full-length
H,
fragments,
complement-modulatory
compounds.
Language: Английский