Current Opinion in Systems Biology,
Journal Year:
2022,
Volume and Issue:
30, P. 100415 - 100415
Published: Feb. 11, 2022
While
we
have
a
solid
understanding
of
the
cell
biological
and
biochemical
control
aspects
eukaryotic
growth
division
process,
much
less
is
known
about
metabolic
biosynthetic
dynamics
during
cycle.
Here,
review
recent
discoveries
made
at
single-cell
population
level
that
show
budding
yeast
(Saccharomyces
cerevisiae)
metabolism
oscillates
in
synchrony
with
cycle
actively
dividing
cells,
as
well
independently
when
halted.
In
fact,
emerging
evidence
suggests
cycle-independent
oscillations
interact
elements
machinery
via
several
possible
mechanisms.
Furthermore,
reports
indicate
different
processes
exhibit
temporally
changing
activity
patterns
Thus,
resources
are
drawn
from
primary
dynamic
manner,
potentially
giving
rise
to
oscillations.
Finally,
highlight
work
mammalian
cells
indicating
similar
might
also
exist
higher
eukaryotes.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: June 30, 2022
Abstract
Genome-scale
metabolic
models
(GEMs)
have
been
widely
used
for
quantitative
exploration
of
the
relation
between
genotype
and
phenotype.
Streamlined
integration
enzyme
constraints
proteomics
data
into
such
was
first
enabled
by
GECKO
toolbox,
allowing
study
phenotypes
constrained
protein
limitations.
Here,
we
upgrade
toolbox
in
order
to
enhance
with
any
organism
a
compatible
GEM
reconstruction.
With
this,
enzyme-constrained
budding
yeasts
Saccharomyces
cerevisiae
,
Yarrowia
lipolytica
Kluyveromyces
marxianus
are
generated
their
long-term
adaptation
several
stress
factors
incorporation
data.
Predictions
reveal
that
upregulation
high
saturation
enzymes
amino
acid
metabolism
common
across
organisms
conditions,
suggesting
relevance
robustness
contrast
optimal
utilization
as
cellular
objective
microbial
growth
under
nutrient-limited
conditions.
The
functionality
is
expanded
an
automated
framework
continuous
version-controlled
update
GEMs,
also
producing
Escherichia
coli
Homo
sapiens
.
In
this
work,
facilitate
GEMs
basic
science,
engineering
synthetic
biology
purposes.
Cell,
Journal Year:
2024,
Volume and Issue:
187(6), P. 1490 - 1507.e21
Published: March 1, 2024
Cell
cycle
progression
relies
on
coordinated
changes
in
the
composition
and
subcellular
localization
of
proteome.
By
applying
two
distinct
convolutional
neural
networks
images
millions
live
yeast
cells,
we
resolved
proteome-level
dynamics
both
concentration
during
cell
cycle,
with
resolution
∼20
classes.
We
show
that
a
quarter
proteome
displays
periodicity,
proteins
tending
to
be
controlled
either
at
level
or
concentration,
but
not
both.
Distinct
levels
protein
regulation
are
preferentially
utilized
for
different
aspects
being
mostly
involved
control
biophysical
implementation
program.
present
resource
exploring
global
which
will
aid
understanding
fundamental
biological
process
systems
level.
Nature Metabolism,
Journal Year:
2023,
Volume and Issue:
5(2), P. 294 - 313
Published: Feb. 27, 2023
Many
cell
biological
and
biochemical
mechanisms
controlling
the
fundamental
process
of
eukaryotic
division
have
been
identified;
however,
temporal
dynamics
biosynthetic
processes
during
cycle
are
still
elusive.
Here,
we
show
that
key
temporally
segregated
along
cycle.
Using
budding
yeast
as
a
model
single-cell
methods
to
dynamically
measure
metabolic
activity,
observe
two
peaks
in
protein
synthesis,
G1
S/G2/M
phase,
whereas
lipid
polysaccharide
synthesis
only
once,
phase.
Integrating
inferred
rates
into
thermodynamic-stoichiometric
model,
find
this
segregation
causes
flux
changes
primary
metabolism,
with
an
acceleration
glucose-uptake
phase-shifted
oscillations
oxygen
carbon
dioxide
exchanges.
Through
experimental
validation
predictions,
demonstrate
metabolism
oscillates
cell-cycle
periodicity
satisfy
changing
demands
exhibiting
unexpected
Journal of Cell Science,
Journal Year:
2022,
Volume and Issue:
135(18)
Published: Aug. 17, 2022
ABSTRACT
Recent
studies
have
revealed
that
the
growth
rate
of
budding
yeast
and
mammalian
cells
varies
during
cell
cycle.
By
linking
a
multitude
signals
to
growth,
highly
conserved
target
rapamycin
complex
1
(TORC1)
protein
kinase
A
(PKA)
pathways
are
prime
candidates
for
mediating
dynamic
coupling
between
division.
However,
measurements
TORC1
PKA
activity
cycle
still
lacking.
following
localization
dynamics
two
targets
via
time-lapse
microscopy
in
hundreds
(Saccharomyces
cerevisiae)
cells,
we
found
these
towards
ribosome
biogenesis
fluctuates
synchrony
with
even
under
constant
external
conditions.
Analysis
effects
mutations
upstream
regulators
suggests
internal
metabolic
partially
mediate
changes.
Our
study
reveals
new
aspect
signaling,
which
will
be
important
understanding
regulation
Nature Metabolism,
Journal Year:
2023,
Volume and Issue:
5(10), P. 1803 - 1819
Published: Aug. 28, 2023
Abstract
Amino
acid
homeostasis
is
critical
for
many
cellular
processes.
It
well
established
that
amino
acids
are
compartmentalized
using
pH
gradients
generated
between
organelles
and
the
cytoplasm;
however,
dynamics
of
this
partitioning
has
not
been
explored.
Here
we
develop
a
highly
sensitive
reporter
find
major
storage
compartment
in
Saccharomyces
cerevisiae
,
lysosome-like
vacuole,
alkalinizes
before
cell
division
re-acidifies
as
cells
divide.
The
vacuolar
require
uptake
extracellular
activity
TORC1,
v-ATPase
cycling
specific
lipid
phosphatidylinositol
3,5-bisphosphate,
which
regulated
by
cyclin-dependent
kinase
Pho85
(CDK5
mammals).
Vacuolar
regulation
enables
sequestration
mobilization
from
organelle,
important
mitochondrial
function,
ribosome
size
control.
Collectively,
our
data
provide
new
paradigm
use
dynamic
pH-dependent
compartmentalization
during
growth/division.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(47)
Published: Nov. 13, 2024
Cell
phase
engineering
can
significantly
impact
protein
synthesis
and
cell
size,
potentially
enhancing
the
production
of
lipophilic
products.
This
study
investigated
G1
extension
on
resource
allocation,
metabolic
functions,
unfolded
response
(UPR)
in
yeast,
along
with
potential
for
compounds.
In
brief,
regulation
was
achieved
by
deleting
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2021,
Volume and Issue:
unknown
Published: March 5, 2021
Abstract
Genome-scale
metabolic
models
(GEMs)
have
been
widely
used
for
quantitative
exploration
of
the
relation
between
genotype
and
phenotype.
Streamlined
integration
enzyme
constraints
proteomics
data
into
GEMs
was
first
enabled
by
GECKO
method,
allowing
study
phenotypes
constrained
protein
limitations.
Here,
we
upgraded
toolbox
in
order
to
enhance
with
any
organism
an
available
GEM
reconstruction.
With
this,
enzyme-constrained
(ecModels)
budding
yeasts
Saccharomyces
cerevisiae,
Yarrowia
lipolytica
Kluyveromyces
marxianus
were
generated,
aiming
their
long-term
adaptation
several
stress
factors
incorporation
data.
Predictions
revealed
that
upregulation
high
saturation
enzymes
amino
acid
metabolism
found
be
common
across
organisms
conditions,
suggesting
relevance
robustness
contrast
optimal
utilization
as
a
cellular
objective
microbial
growth
under
nutrient-limited
conditions.
The
functionality
further
developed
implementation
automated
framework
continuous
version-controlled
update
ecModels,
which
validated
producing
additional
high-quality
ecModels
Escherichia
coli
Homo
sapiens.
These
efforts
aim
facilitate
basic
science,
engineering
synthetic
biology
purposes.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 1, 2025
Abstract
Phosphofructokinase
(PFK)
is
a
rate-limiting
glycolytic
enzyme
that
also
possesses
an
unexplored
RNA
binding
activity.
Here,
we
show
the
α-
and
β-subunits
of
yeast
PFK,
encoded
by
PFK1
PFK2
,
respectively,
bind
hundreds
mRNAs
in
cells,
including
one’s
coding
for
proteins
involved
regulation
mitotic
cell
cycle.
Pkf2p
directly
binds
Mg-ATP-dependent
manner
to
short
GA-,
UC-,
AU-
U-rich
motifs
overrepresented
its
mRNA
targets.
Strikingly,
Pfk2p
displays
directional
5’
-
3’
double-stranded
unwinding
activity
not
seen
with
Pfk1p.
Furthermore,
dynamically
associates
ribosomes
promotes
translation
cycle
genes.
Consequently,
pfk2Δ,
but
pfk1Δ,
mutant
cells
severely
delayed
G1/S
phase
transition
which
independent
enzyme’s
Our
results
uncovered
hidden
function
Pfk2
subunit
as
translational
activator
gene
transcripts
possibly
through
energy-dependent
Cell Reports,
Journal Year:
2025,
Volume and Issue:
44(4), P. 115534 - 115534
Published: April 1, 2025
A
series
of
sequential
events
orchestrates
cell
growth
and
division,
set
in
motion
by
cyclin-dependent
kinases
(Cdks).
In
the
"qualitative
model"
for
Cdk
control,
order
is
achieved
cycle
stage-specific
cyclins.
However,
single-cyclin
cells
retain
order.
an
alternative
"quantitative
model,"
increasing
activity
triggers
substrate
phosphorylation
at
thresholds.
Here,
we
test
a
key
prediction
from
quantitative
model:
best
substrates
should
be
first
to
phosphorylated.
Phosphoproteome
analysis
synchronous
budding
yeast
cultures,
against
expectations,
reveals
little
correlation
between
known
vitro
rates
observed
vivo
timing.
Incorporating
Cdk-counteracting
phosphatases
that
impose
thresholds
does
not
improve
correlation.
Instead
kinase-phosphatase
control
(i.e.,
"regulator
control"),
our
phosphoproteome
patterns
reveal
signatures
"substrate
control,"
including
substrate-defined
waves.
The
changing
behavior
themselves
therefore
contributes
ordering
their
during
cycle.