Current Opinion in Systems Biology,
Journal Year:
2023,
Volume and Issue:
37, P. 100487 - 100487
Published: Nov. 21, 2023
High-throughput
(HT)
methodologies
are
extensively
applied
in
synthetic
biology
for
the
rapid
enrichment
and
selection
of
desired
properties
from
a
wide
range
genetic
diversity.
In
order
to
effectively
analyze
these
vast
variants,
HT
tools
must
offer
parallel
experiments
compact
reaction
capabilities
enhance
overall
throughput.
Here,
we
discuss
about
various
aspects
three
representative
high-throughput
screening
(HTS)
systems:
microwell-,
droplet-,
single
cell-based
screening.
These
systems
can
be
categorized
based
on
their
volume,
which
turn
determines
associated
technology,
machinery,
supporting
applications.
Furthermore,
techniques
that
rapidly
connects
numerous
genotypes
phenotypes,
have
evolved
precision
predictions
through
integration
digital
technologies
like
machine
learning
artificial
intelligence.
The
use
advanced
within
biofoundry
will
enable
analysis
extensive
diversity,
making
it
driving
force
advancement
biology.
Faraday Discussions,
Journal Year:
2024,
Volume and Issue:
252, P. 89 - 114
Published: Jan. 1, 2024
Protein
design
and
directed
evolution
have
separately
contributed
enormously
to
protein
engineering.
Without
being
mutually
exclusive,
the
former
relies
on
computation
from
first
principles,
while
latter
is
a
combinatorial
approach
based
chance.
Advances
in
ultrahigh
throughput
(uHT)
screening,
next
generation
sequencing
machine
learning
may
create
alternative
routes
engineered
proteins,
where
functional
information
linked
specific
sequences
interpreted
extrapolated
ACS Catalysis,
Journal Year:
2023,
Volume and Issue:
13(15), P. 10232 - 10243
Published: July 21, 2023
Enzyme
discovery
and
directed
evolution
are
the
two
major
contemporary
approaches
for
improvement
of
industrial
processes
by
biocatalysis
in
various
fields.
Customization
catalysts
single
enzyme
reactions
or
de
novo
reaction
development
is
often
complex
tedious.
The
success
screening
campaigns
relies
on
fraction
sequence
space
that
can
be
sampled,
whether
evolving
a
particular
metagenomes.
Ultrahigh-throughput
(uHTS)
based
vitro
compartmentalization
water-in-oil
emulsion
picoliter
droplets
generated
microfluidic
systems
allows
rates
>1
kHz
(or
>107
per
day).
Screening
carbohydrate-active
enzymes
(CAZymes)
catalyzing
biotechnologically
valuable
this
format
presents
an
additional
challenge
because
released
carbohydrates
difficult
to
monitor
high
throughput.
Activated
substrates
with
large
optically
active
hydrophobic
leaving
groups
provide
generic
optical
readout,
but
molecular
recognition
properties
sugars
will
altered
incorporation
such
fluoro-
chromophores
their
typically
higher
reactivity,
as
lowered
pKa
values
compared
native
make
observation
promiscuous
more
likely.
To
overcome
these
issues,
we
designed
microdroplet
assays
which
inactive
carbohydrate
products
made
visible
specific
cascades:
primary
unlabeled
substrate
leads
signal
downstream.
Successfully
implementing
at
droplet
scale
allowed
us
detect
glucose,
xylose,
glucuronic
acid,
arabinose
final
oligosaccharide
degradation
glycoside
hydrolases
absorbance
measurements.
Enabling
use
uHTS
CAZyme
have
been
thus
far
elusive
chart
route
toward
faster
easier
efficient
biocatalysts
biovalorization,
directing
challenging
natural
rather
than
model
substrates.
ACS Synthetic Biology,
Journal Year:
2024,
Volume and Issue:
13(2), P. 474 - 484
Published: Jan. 11, 2024
Directed
evolution
provides
a
powerful
route
for
in
vitro
enzyme
engineering.
State-of-the-art
techniques
functionally
screen
up
to
millions
of
variants
using
high
throughput
microfluidic
sorters,
whose
operation
remains
technically
challenging.
Alternatively,
self-selection
methods,
analogous
vivo
complementation
strategies,
open
the
way
even
higher
throughputs,
but
have
been
demonstrated
only
few
specific
activities.
Here,
we
leverage
synthetic
molecular
networks
generalize
compartmentalized
processes.
We
introduce
programmable
circuit
architecture
that
can
link
an
arbitrary
target
enzymatic
activity
replication
its
encoding
gene.
Microencapsulation
bacterial
expression
library
with
this
autonomous
selection
results
single-step
and
screening-free
enrichment
genetic
sequences
coding
programmed
phenotypes.
demonstrate
potential
approach
nicking
Nt.BstNBI
(NBI).
applied
conditions
enrich
thermostability
or
catalytic
efficiency,
manipulating
107
microcompartments
5
×
105
at
once.
Full
gene
reads
libraries
nanopore
sequencing
revealed
detailed
mutational
landscapes,
suggesting
key
role
electrostatic
interactions
DNA
enzyme's
turnover.
The
most
beneficial
mutations,
identified
after
single
round
self-selection,
provided
with,
respectively,
20
times
3
°C
increased
thermostability.
Based
on
modular
programming
architecture,
does
not
require
complex
instrumentation
be
repurposed
other
enzymes,
including
those
are
related
chemistry.
Molecules,
Journal Year:
2024,
Volume and Issue:
29(19), P. 4626 - 4626
Published: Sept. 29, 2024
The
field
of
computational
protein
engineering
has
been
transformed
by
recent
advancements
in
machine
learning,
artificial
intelligence,
and
molecular
modeling,
enabling
the
design
proteins
with
unprecedented
precision
functionality.
Computational
methods
now
play
a
crucial
role
enhancing
stability,
activity,
specificity
for
diverse
applications
biotechnology
medicine.
Techniques
such
as
deep
reinforcement
transfer
learning
have
dramatically
improved
structure
prediction,
optimization
binding
affinities,
enzyme
design.
These
innovations
streamlined
process
allowing
rapid
generation
targeted
libraries,
reducing
experimental
sampling,
rational
tailored
properties.
Furthermore,
integration
approaches
high-throughput
techniques
facilitated
development
multifunctional
novel
therapeutics.
However,
challenges
remain
bridging
gap
between
predictions
validation
addressing
ethical
concerns
related
to
AI-driven
This
review
provides
comprehensive
overview
current
state
future
directions
engineering,
emphasizing
their
transformative
potential
creating
next-generation
biologics
advancing
synthetic
biology.
Journal of Biological Engineering,
Journal Year:
2025,
Volume and Issue:
19(1)
Published: Feb. 3, 2025
Angiotensin-Converting
Enzyme
2
(ACE2)
is
a
crucial
peptidase
in
human
peptide
hormone
signaling,
catalyzing
the
conversion
of
Angiotensin-II
to
Angiotensin-(1–7),
which
activates
Mas
receptor
and
elicits
vasodilation,
increased
blood
flow,
reduced
inflammation,
decreased
pathological
tissue
remodeling.
This
study
leverages
protein
engineering
enhance
ACE2's
therapeutic
potential
for
treating
conditions
such
as
respiratory
viral
infections,
acute
distress
syndrome,
diabetes.
Surrogate
substrates
used
traditional
high-throughput
screening
methods
peptidases
often
fail
accurately
mimic
native
substrates,
leading
less
effective
enzyme
variants.
Here,
we
developed
an
ultra-high-throughput
droplet
microfluidic
platform
screen
on
substrates.
Our
assay
detects
substrate
cleavage
via
free
amino
acid
release,
providing
precise
measurement
biologically
relevant
activity.
Using
this
new
platform,
screened
large
library
ACE2
variants,
identifying
position
187
hotspot
enhancing
Further
focused
revealed
K187T
variant,
exhibited
fourfold
increase
catalytic
efficiency
(kcat/KM)
over
wild-type
ACE2.
work
demonstrates
microfluidics
engineering,
offering
robust
accessible
method
optimize
properties
clinical
applications.
ACS Synthetic Biology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 13, 2025
We
have
developed
a
rapid,
simple,
and
high-throughput
screening
system
for
recombinant
enzymes
using
disulfide-bonded
hydrogel
beads
(HBs)
produced
via
microfluidic
method.
These
redox-responsive
HBs
were
compatible
with
the
biosynthesis
of
enzyme
mutants
cell-free
protein
synthesis,
fluorescent
staining
through
an
enzymatic
reaction,
genetic
information
recovery
after
fluorescence-activated
droplet
sorting
(FADS).
The
expression
microbial
transglutaminase
zymogen
(MTGz)
synthesis
cross-linking-reactivity-based
product
validated.
Next-generation
sequencing
(NGS)
analysis
genes
recovered
from
highly
identified
novel
mutation
sites
(N25
N27)
in
propeptide
domain.
introduction
these
mutations
allowed
design
engineered
active
MTGz,
demonstrating
potential
as
artificial
compartments
FADS-based
selection
that
catalyze
peptide
cross-linking
reactions.
Biomicrofluidics,
Journal Year:
2025,
Volume and Issue:
19(2)
Published: March 1, 2025
Droplet
microfluidics
has
emerged
as
a
versatile
and
powerful
tool
for
various
analytical
applications,
including
single-cell
studies,
synthetic
biology,
directed
evolution,
diagnostics.
Initially,
access
to
droplet
was
predominantly
limited
specialized
technology
labs.
However,
the
landscape
is
shifting
with
increasing
availability
of
commercialized
manipulation
technologies,
thereby
expanding
its
use
non-specialized
Although
these
commercial
solutions
offer
robust
platforms,
their
adaptability
often
constrained
compared
in-house
developed
devices.
Consequently,
both
within
industry
academia,
significant
efforts
are
being
made
further
enhance
robustness
automation
droplet-based
not
only
facilitate
transfer
non-expert
laboratories
but
also
reduce
experimental
failures.
This
Perspective
article
provides
an
overview
recent
advancements
aimed
at
accessibility
systems
enabling
complex
manipulations.
The
discussion
encompasses
diverse
aspects
such
generation,
reagent
addition,
splitting,
washing,
incubation,
sorting,
dispensing.
Moreover,
alternative
techniques
like
double
emulsions
hydrogel
capsules,
minimizing
or
eliminating
need
microfluidic
operations
by
end
user,
explored.
These
developments
foreseen
integration
intricate
manipulations
users
in
workflows,
fostering
broader
faster
adoption
across
scientific
domains.
FEBS Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
T7
RNA
polymerase
(RNAP),
the
preferred
tool
for
in
vitro
transcription
(IVT),
can
generate
double‐stranded
(dsRNA)
by‐products
that
elicit
immune
stress
and
pose
safety
concerns.
By
combining
molecular
beacon‐based
fluorescence‐activated
droplet
sorting
(FADS)
utilized
random
library
screening
with
site‐directed
mutagenesis
aimed
at
facilitating
conformational
changes
RNAP,
we
successfully
identified
four
mutants
exhibit
reduced
dsRNA
content:
M1
(V214A),
M7
(F162S/A247T),
M11
(K180E)
M14
(A70Q).
Furthermore,
combinatorial
mutant
M17
(A70Q/F162S/K180E)
exhibited
significantly
production
under
various
conditions.
Cellular
experiments
confirm
application
potential
of
mutants,
displaying
mitigated
responses
enhanced
protein
translation
compared
to
wild‐type
protein.
We
then
observed
a
close
correlation
between
terminal
transferase
RNA‐dependent
RNAP
(RDRP)
activities
RNAP.
The
activity
adds
several
nucleotides
terminus
RNAs,
while
RDRP
extends
complementary
region
formed
by
self‐pairing.
In
summary,
developed
novel
approach
engineering
demonstrated
its
variants
or
improved
product
integrity.
Journal of Nanobiotechnology,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: March 5, 2025
The
accurate
assessment
of
platelet
activity
is
crucial
in
clinical
practice
and
scientific
research
owing
to
the
pivotal
role
platelets
progression
cardiovascular
conditions,
such
as
arterial
thrombotic
diseases.
However,
conventional
methods
are
currently
limited
by
their
requirement
substantial
blood
samples
inadequate
high-throughput
capabilities,
therapeutic
resistance
induced
antiplatelet
agents
impedes
treatment
efficacy.
In
this
study,
we
developed
a
microdroplet-based
function
detection
method,
referred
NebulaPlate,
achieve
miniaturized
robust
assessment,
thereby
overcoming
current
challenges.
NebulaPlate
supports
merging
with
drugs
confined
picoliter
microdroplets
leverages
an
imaging-based
analysis
automatically
identify
platelets,
evaluate
aggregation,
determine
P-selectin
expression
within
anchored
microdroplets.
We
experimentally
confirmed
feasibility
aggregation
assays
on
using
various
representative
drugs.
Requiring
only
0.3
mL
whole
blood/chip,
which
corresponds
approximately
100
platelets/reaction,
reduced
consumption
single
assay.
This
represents
reduction
10
times
compared
that
techniques.
Moreover,
our
experimental
results
validity
reproducibility
performed
NebulaPlate.
Our
highlights
important
developments
field
provides
fresh
prospects
for
future
therapies
personalized
medicine.
it
introduces
new
possibilities
related