Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 29, 2023
Abstract
Background.
In
recent
years,
the
production
of
inclusion
bodies
that
retain
substantial
catalytic
activity
was
demonstrated.
These
catalytically
active
(CatIBs)
are
formed
by
genetic
fusion
an
aggregation-inducing
tag
to
a
gene
interest
via
short
linker
polypeptides.
The
resulting
CatIBs
known
for
their
easy
and
cost-efficient
production,
recyclability
as
well
improved
stability.
Recent
studies
have
outlined
cooperative
effects
on
CatIB
activities.
However,
no
priori
prediction
is
possible
so
far
indicate
best
combination
thereof.
Consequently,
extensive
screening
required
find
performing
variant.
Results.
this
work,
semi-automated
cloning
workflow
implemented
used
fast
generation
63
variants
with
glucose
dehydrogenase
Bacillus
subtilis
(
Bs
GDH).
Furthermore,
variant
GDH-PT-CBDCell
develop,
optimize
validate
automated
workflow,
enhancing
analysis
many
candidates
in
parallel.
Compared
previous
CatIBs,
important
optimization
steps
include
exclusion
plate
position
BioLector
changing
cultivation
temperature.
For
overall
including
strain
construction,
manual
workload
could
be
reduced
from
59
h
7
48
(88%).
After
demonstration
high
reproducibility
1.9%
relative
standard
deviation
across
42
biological
replicates,
performed
Bayesian
process
model
Thompson
sampling.
While
crucial
derive
key
performance
indicators
sampling
serves
strategy
balance
exploitation
exploration
procedures.
Our
methodology
allowed
GDH-CatIB
within
only
three
batch
experiments.
Because
likelihood
TDoT-PT-
GDH
being
performer,
it
selected
50
replicates
during
rounds,
much
more
than
other,
low-performing
variants.
Conclusions.
At
current
state
knowledge,
every
new
enzyme
requires
different
linker/aggregation-inducing
combinations.
purpose,
presented
toolbox
facilitates
simplified
construction
thus
assists
finding
producer
large
libraries
time,
rendering
Design-Build-Test-Learn
cycles
generate
structure/function
learnings.
Microbial Cell Factories,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: Feb. 24, 2024
In
recent
years,
the
production
of
inclusion
bodies
that
retain
substantial
catalytic
activity
was
demonstrated.
These
catalytically
active
(CatIBs)
are
formed
by
genetic
fusion
an
aggregation-inducing
tag
to
a
gene
interest
via
short
linker
polypeptides.
The
resulting
CatIBs
known
for
their
easy
and
cost-efficient
production,
recyclability
as
well
improved
stability.
Recent
studies
have
outlined
cooperative
effects
on
CatIB
activities.
However,
no
priori
prediction
is
possible
so
far
indicate
best
combination
thereof.
Consequently,
extensive
screening
required
find
performing
variant.
Biotechnology and Bioengineering,
Journal Year:
2023,
Volume and Issue:
121(2), P. 580 - 592
Published: Nov. 20, 2023
Abstract
One‐pot
cascade
reactions
of
coupled
disaccharide
phosphorylases
enable
an
efficient
transglycosylation
via
intermediary
α‐
d
‐glucose
1‐phosphate
(G1P).
Such
transformations
have
promising
applications
in
the
production
carbohydrate
commodities,
including
cellobiose
for
food
and
feed
use.
Several
studies
shown
sucrose
phosphorylase
synthesis
from
sucrose,
but
boundaries
on
transformation
efficiency
that
result
kinetic
thermodynamic
characteristics
individual
enzyme
are
not
known.
Here,
we
assessed
a
step‐by‐step
systematic
fashion
practical
requirements
model
to
describe
at
industrially
relevant
substrate
concentrations
up
600
mM
glucose
each.
Mechanistic
initial‐rate
models
two‐substrate
(sucrose
+
phosphate
→
G1P
fructose)
(G1P
phosphate)
were
needed
additionally
required
expansion
by
terms
inhibition,
particular
distinctive
two‐site
inhibition
(from
Cellulumonas
uda
).
Combined
with
mass
action
accounting
approach
equilibrium,
gave
excellent
fit
robust
prediction
full
reaction
time
courses
wide
range
activities
as
well
concentrations,
variable
substoichiometric
concentration
phosphate.
The
thus
provides
essential
engineering
tool
disentangle
highly
interrelated
factors
conversion
reaction;
it
establishes
necessary
basis
window
operation
calculations
targeted
optimizations
toward
different
process
tasks.
Biotechnology and Bioengineering,
Journal Year:
2023,
Volume and Issue:
121(2), P. 566 - 579
Published: Nov. 21, 2023
Abstract
The
inherent
complexity
of
coupled
biocatalytic
reactions
presents
a
major
challenge
for
process
development
with
one‐pot
multienzyme
cascade
transformations.
Kinetic
models
are
powerful
engineering
tools
to
guide
the
optimization
towards
performance
suitable
scale
up
an
actual
production.
Here,
we
report
kinetic
model‐based
window
operation
analysis
cellobiose
production
(≥100
g/L)
from
sucrose
and
glucose
by
indirect
transglycosylation
via
1‐phosphate
as
intermediate.
two‐step
transformation
is
catalyzed
phosphorylase
in
presence
substoichiometric
amounts
phosphate
(≤27
mol%
substrate).
modeling
was
instrumental
uncover
hidden
effect
bulk
microviscosity
due
high
sugar
concentrations
on
decreasing
rate
specifically.
mechanistic‐empirical
hybrid
model
thus
developed
gives
comprehensive
description
reaction
at
industrially
relevant
substrate
conditions.
Model
simulations
serve
unravel
opposed
relationships
between
efficient
utilization
enzymes
maximized
concentration
(or
yield)
product
within
given
time,
dependence
initial
used.
Optimum
balance
these
competing
key
metrics
suggested
model‐calculated
verified
experimentally.
evidence
shown
highlights
important
use
characterization
ways
that
appear
be
inaccessible
purely
data‐driven
approaches.
Microbial Cell Factories,
Journal Year:
2023,
Volume and Issue:
22(1)
Published: Nov. 27, 2023
In
whole-cell
bio-catalysis,
the
biosystems
engineering
paradigm
shifts
from
global
reconfiguration
of
cellular
metabolism
as
in
fermentation
to
a
more
focused,
and
easily
modularized,
optimization
comparably
short
cascade
reactions.
Human
milk
oligosaccharides
(HMO)
constitute
an
important
field
for
synthetic
application
bio-catalysis
resting
or
non-living
cells.
Here,
we
analyzed
central
catalytic
module
synthesis
HMO-type
sialo-oligosaccharides,
comprised
CMP-sialic
acid
synthetase
(CSS)
sialyltransferase
(SiaT),
with
specific
aim
coordinated
enzyme
co-expression
E.
coli
reaction
flux
whole
cell
conversions
producing
3'-sialyllactose
(3SL).Difference
activity
(CSS
Neisseria
meningitidis:
36
U/mg;
α2,3-SiaT
Pasteurella
dagmatis:
5.7
U/mg)
was
compensated
by
differential
protein
tailored
plasmid
constructs,
giving
balance
between
individual
activities
at
high
level
both
(α2,3-SiaT:
9.4
×
102
U/g
dry
mass;
CSS:
3.4
mass).
Finally,
selection
guided
kinetic
modeling
coupled
CSS-SiaT
reactions
combination
comprehensive
analytical
tracking
multistep
conversion
(lactose,
N-acetyl
neuraminic
(Neu5Ac),
cytidine
5'-triphosphate;
each
up
100
mM).
The
half-life
SiaT
permeabilized
cells
(≤
4
h)
determined
efficiency
3SL
production
37
°C.
Reaction
25
°C
gave
(40
±
g/L)
∼
70%
yield
within
3
h,
reaching
mass-specific
productivity
g/(g
avoiding
intermediary
CMP-Neu5Ac
accumulation.Collectively,
balanced
CSS
yields
efficient
(high-flux)
sialylation
support
flexible
development
catalysts
sialo-oligosaccharide
production.
ChemElectroChem,
Journal Year:
2023,
Volume and Issue:
10(22)
Published: Oct. 5, 2023
Abstract
Adenosine‐5’‐triphosphate
(ATP)
plays
a
crucial
role
in
many
biocatalytic
reactions
and
its
regeneration
can
influence
the
performance
of
related
enzymatic
reaction
significantly.
Here,
we
established
electrochemically
coupled
ATP
by
pyruvate
oxidase
acetate
kinase
(ACK)
for
phosphorylation
mevalonate
catalyzed
kinase.
A
yield
84
%
product
phosphate
was
reached
total
turnover
number
ADP
68.
These
metrics
are
promising
development
an
economic
feasible
bioprocess
surpass
other
systems.
comparison
made
to
polyphosphate
kinases
(PPKs),
ACK,
kinase,
creatine
terms
donor
properties
exemplary
reactions.
Furthermore,
our
system
expanded
PPK
that
enables
AMP,
which
broaden
spectrum
applications
even
further.
Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 29, 2024
Modern
machine
learning
methods,
and
their
use
alongside
established
paradigms
such
as
Quality
by
Design,
have
the
potential
to
fundamentally
change
way
bioprocesses
are
developed.
In
particular,
horizontal
knowledge
transfer
which
seek
exploit
data
from
historical
processes
facilitate
process
development
for
a
new
product,
provide
an
opportunity
rethink
workflows.
this
work,
we
firstly
assess
of
two
approaches,
meta
one-hot
encoding,
in
combination
with
Gaussian
(GP)
models.
We
compare
performance
GPs
developed
only
on
process.
Using
simulated
mammalian
cell
cultivation
data,
observe
that
both
approaches
outperform
individual-product
approach.
second
part,
address
question
whether
experiments
product
could
be
designed
more
effectively
exploiting
existing
knowledge.
suggest
specifically
design
few
runs
novel
calibrate
models,
task
coin
calibration
design.
propose
novel,
customised
metric
identify
set
runs,
exploits
differences
evolutions
products.
case
studies,
observed
training
designs
yields
similar
test
errors
compared
common
Design
Experiments.
However,
much
fewer
needed
former,
suggesting
interesting
alternative
future
bioprocess
development.
Overall,
results
significantly
streamlined
when
systematically
carrying
one
next.
In
an
earlier
work
we
demonstrated
that
adding
intermediates
of
enzymatic
cascade
reaction
at
the
start
process
can
increase
space-time
yield
significantly.
This
method
was
coined
boosting
by
(BBI)
and
potentially
productivity
systems.
BBI
remains
largely
unexplored,
its
mechanism,
potential,
limitations
are
not
fully
understood.
present
work,
provide
a
theoretical
background
studying
four
chemical
networks
(CRN)
exhibit
intermediates.
We
study
dynamics
these
via
quasi
steady-state
approximation
numerical
solutions.
novel
graphical
be
used
to
deduce
which
boost
linear,
redox
neutral
networks.
Further,
demonstrate
how
such
designed
using
model-based
optimization.
Biotechnology Journal,
Journal Year:
2024,
Volume and Issue:
19(7)
Published: July 1, 2024
Modern
machine
learning
has
the
potential
to
fundamentally
change
way
bioprocesses
are
developed.
In
particular,
horizontal
knowledge
transfer
methods,
which
seek
exploit
data
from
historical
processes
facilitate
process
development
for
a
new
product,
provide
an
opportunity
rethink
current
workflows.
this
work,
we
first
assess
of
two
approaches,
meta
and
one-hot
encoding,
in
combination
with
Gaussian
(GP)
models.
We
compare
their
performance
GPs
trained
only
on
process,
that
is,
local
Using
simulated
mammalian
cell
culture
data,
observe
both
approaches
exhibit
test
set
errors
approximately
halved
compared
those
models
when
two,
four,
or
eight
experiments
product
used
training.
Subsequently,
address
question
whether
could
be
designed
more
effectively
by
exploiting
existing
knowledge.
suggest
specifically
design
few
runs
novel
calibrate
models,
task
coin
calibration
design.
propose
customized
objective
function
identify
runs,
exploits
differences
evolution
products.
case
studies,
observed
training
designs
yields
similar
common
approaches.
However,
former
requires
four
times
fewer
experiments.
Overall,
results
significantly
streamlined
systematically
carrying
one
next.