BMC Genomics,
Journal Year:
2022,
Volume and Issue:
23(1)
Published: Jan. 15, 2022
Circadian
clocks
allow
organisms
to
anticipate
daily
fluctuations
in
their
environment
by
driving
rhythms
physiology
and
behavior.
Inter-organismal
differences
rhythms,
called
chronotypes,
exist
can
shift
with
age.
In
ants,
age,
caste-related
behavior
chronotype
appear
be
linked.
Brood-tending
nurse
ants
are
usually
younger
individuals
show
"around-the-clock"
activity.
With
age
or
the
absence
of
brood,
nurses
transition
into
foraging
that
Ants
adaptively
between
these
behavioral
castes
caste-associated
chronotypes
depending
on
social
context.
We
investigated
how
changes
gene
expression
could
contributing
such
plasticity
Camponotus
floridanus
carpenter
combining
time-course
assays
RNA-Sequencing
forager
brains.We
found
brains
have
three
times
fewer
24
h
oscillating
genes
than
foragers.
However,
several
hundred
oscillated
every
showed
robust
8
oscillations
nurses,
including
core
clock
Period
Shaggy.
These
differentially
rhythmic
consisted
components
circadian
entrainment
output
pathway,
said
involved
regulating
insect
locomotory
also
Vitellogenin,
known
regulate
division
labor
insects,
but
not
Finally,
we
significant
overlap
expressed
two
ant
ultradian
expression.This
study
provides
a
first
look
at
chronobiological
brains.
This
endeavor
allowed
us
identify
putative
molecular
mechanism
underlying
plastic
timekeeping:
its
seemingly
oscillate
different
harmonics
rhythm.
propose
has
evolved
for
distinct
regulatory
networks
underlie
castes,
while
supporting
swift
caste
transitions
response
colony
demands.
Behavioral
is
common
among
insects.
The
links
C.
floridanus,
thus,
likely
represent
more
general
phenomenon
warrants
further
investigation.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Feb. 21, 2023
Abstract
Obesity
caused
by
genetic
and
environmental
factors
can
lead
to
compromised
skeletal
muscle
function.
Time-restricted
feeding
(TRF)
has
been
shown
prevent
function
decline
from
obesogenic
challenges;
however,
its
mechanism
remains
unclear.
Here
we
demonstrate
that
TRF
upregulates
genes
involved
in
glycine
production
(
Sardh
CG5955
)
utilization
Gnmt
),
while
Dgat2
,
triglyceride
synthesis
is
downregulated
Drosophila
models
of
diet-
genetic-induced
obesity.
Muscle-specific
knockdown
dysfunction,
ectopic
lipid
accumulation,
loss
TRF-mediated
benefits,
retains
during
aging
reduces
accumulation.
Further
analyses
the
purine
cycle
a
diet-induced
obesity
model
AMPK
signaling-associated
pathways
model.
Overall,
our
data
suggest
improves
through
modulations
common
distinct
under
different
challenges
provides
potential
targets
for
treatments.
Science Advances,
Journal Year:
2024,
Volume and Issue:
10(17)
Published: April 24, 2024
Critical
aspects
of
physiology
and
cell
function
exhibit
self-sustained
~24-hour
variations
termed
circadian
rhythms.
In
the
liver,
rhythms
play
fundamental
roles
in
maintaining
organ
homeostasis.
Here,
we
established
characterized
an
vitro
liver
experimental
system
which
primary
human
hepatocytes
display
oscillations.
By
generating
gene
expression
profiles
these
over
time,
demonstrated
that
their
transcriptional
state
is
dynamic
across
24
hours
identified
a
set
cycling
genes
with
functions
related
to
inflammation,
drug
metabolism,
energy
We
designed
tested
treatment
protocol
minimize
atorvastatin-
acetaminophen-induced
hepatotoxicity.
Last,
documented
circadian-dependent
induction
pro-inflammatory
cytokines
when
triggered
by
LPS,
IFN-β,
or
Acta Physiologica,
Journal Year:
2025,
Volume and Issue:
241(2)
Published: Jan. 13, 2025
Exposure
to
light
at
night
and
meal
time
misaligned
with
the
light/dark
(LD)
cycle-typical
features
of
daily
life
in
modern
24/7
society-are
associated
negative
effects
on
health.
To
understand
mechanism,
we
developed
a
novel
protocol
complex
chronodisruption
(CD)
which
exposed
female
rats
four
weekly
cycles
consisting
5-day
intervals
constant
2-day
food
access
restricted
phase
12:12
LD
cycle.
We
examined
CD
behavior,
estrous
cycle,
sleep
patterns,
glucose
homeostasis
profiles
clock-
metabolism-related
gene
expression
(using
RT
qPCR)
liver
metabolome
lipidome
untargeted
metabolomic
lipidomic
profiling).
attenuated
rhythmic
output
central
clock
suprachiasmatic
nucleus
via
Prok2
signaling,
thereby
disrupting
locomotor
activity,
mutual
relationship
between
peripheral
clocks.
In
periphery,
abolished
Per1,2
rhythms
tissues
(liver,
pancreas,
colon)
worsened
homeostasis.
liver,
it
impaired
NAD+,
lipid,
cholesterol
metabolism
genes
most
high-amplitude
lipids
polar
metabolites.
Interestingly,
circadian
rhythm
Cpt1a
increased
levels
long-chain
acylcarnitines
(ACar
18:2,
ACar
16:0),
indicating
enhanced
fatty
acid
oxidation
mitochondria.
Our
data
show
widespread
point
ACars
as
biomarkers
for
due
feeding
patterns.
Proceedings of the Royal Society B Biological Sciences,
Journal Year:
2025,
Volume and Issue:
292(2040)
Published: Feb. 1, 2025
Biological
clocks
are
a
ubiquitous
feature
of
all
life,
enabling
the
use
natural
environmental
cycles
to
track
time.
Although
studies
on
circadian
rhythms
have
contributed
greatly
knowledge
chronobiology,
biological
in
dark
biospheres
such
as
deep
sea
remain
poorly
understood.
Here,
based
free-running
experiment
laboratory,
we
reveal
potentially
endogenous
gene
expression
deep-sea
hydrothermal
vent
shrimp
Rimicaris
leurokolos
.
Oscillations
with
approximately
12
h
periods,
probably
reflecting
tidal
influence,
prevail
over
others
temporal
transcriptome,
indicating
R.
depends
circatidal
clock
consisting
at
least
some
components
independent
from
clocks.
The
transcripts
exhibit
an
antiphased
pattern
divided
into
two
internally
synchronized
clusters,
correlated
wide-ranging
processes
that
occur
nucleus
and
cytoplasm,
respectively.
In
addition,
showed
great
similarities
genes
fruit
flies
mice
exhibiting
ultradian
rhythms,
tide
had
broad
impact
evolution
oscillations
found
across
Metazoa.
These
findings
not
only
provide
new
insights
adaptations
organisms
but
also
highlight
intriguing
models
for
chronobiological
studies,
particularly
those
linked
rhythms.
Journal of Biological Rhythms,
Journal Year:
2018,
Volume and Issue:
34(1), P. 5 - 18
Published: Nov. 25, 2018
Unraveling
the
effects
of
genetic
or
environmental
perturbations
on
biological
rhythms
requires
detecting
changes
in
rhythmicity
across
multiple
conditions.
Although
methods
to
detect
genome-scale
data
are
well
established,
average
expression
between
experimental
conditions
often
ad
hoc
and
statistically
unreliable.
Here
we
present
LimoRhyde
(linear
models
for
rhythmicity,
design),
a
flexible
approach
analyzing
transcriptome
from
circadian
systems.
Borrowing
cosinor
regression,
decomposes
zeitgeber
time
into
components
fit
linear
model
each
gene.
The
can
accommodate
any
number
additional
variables,
whether
discrete
continuous,
making
it
straightforward
differential
using
state-of-the-art
microarray
RNA-seq
data.
In
this
approach,
corresponds
statistical
interaction
an
variable
time,
whereas
main
effect
while
accounting
time.
To
validate
LimoRhyde’s
performance,
applied
simulated
demonstrate
versatility,
murine
human
datasets
acquired
under
various
designs.
Our
results
show
how
systematizes
analysis
such
data,
suggest
that
could
prove
valuable
assessing
systems
respond
perturbations.
BMC Bioinformatics,
Journal Year:
2020,
Volume and Issue:
21(1)
Published: Oct. 29, 2020
Even
though
several
computational
methods
for
rhythmicity
detection
and
analysis
of
biological
data
have
been
proposed
in
recent
years,
classical
trigonometric
regression
based
on
cosinor
still
has
advantages
over
these
is
widely
used.
Different
software
packages
cosinor-based
rhythmometry
exist,
but
lack
certain
functionalities
require
different,
non-unified
input
formats.We
present
CosinorPy,
a
Python
implementation
analysis.
CosinorPy
merges
extends
the
existing
packages.
It
supports
rhythmic
using
single-
or
multi-component
models,
automatic
selection
best
model,
population-mean
regression,
differential
assessment.
Moreover,
it
implements
functions
that
can
be
used
design
experiments,
synthetic
generator,
import
export
different
formats.CosinorPy
an
easy-to-use
package
straightforward
requiring
minimal
statistical
knowledge,
produces
publication-ready
figures.
Its
code,
examples,
documentation
are
available
to
download
from
https://github.com/mmoskon/CosinorPy
.
installed
manually
by
pip,
manager
The
reported
this
paper
corresponds
release
v1.1.