Artificial metalloenzymes (ArMs) result from anchoring a metal-containing moiety within a macromolecular scaffold (protein or oligonucleotide). The resulting hybrid catalyst combines attractive features of both homogeneous catalysts and enzymes. This strategy includes the possibility of optimizing the reaction by both chemical (catalyst design) and genetic means leading to achievement of a novel degree of (enantio)selectivity, broadening of the substrate scope, or increased activity, among others. In the past 20 years, the Ward group has exploited, among others, the biotin-(strept)avidin technology to localize a catalytic moiety within a well-defined protein environment. Streptavidin has proven versatile for the implementation of ArMs as it offers the following features: (i) it is an extremely robust protein scaffold, amenable to extensive genetic manipulation and mishandling, (ii) it can be expressed in E. coli to very high titers (up to >8 g·L-1 in fed-batch cultures), and (iii) the cavity surrounding the biotinylated cofactor is commensurate with the size of a typical metal-catalyzed transition state. Relying on a chemogenetic optimization strategy, varying the orientation and the nature of the biotinylated cofactor within genetically engineered streptavidin, 12 reactions have been reported by the Ward group thus far. Recent efforts within our group have focused on extending the ArM technology to create complex systems for integration into biological cascade reactions and in vivo. With the long-term goal of complementing in vivo natural enzymes with ArMs, we summarize herein three complementary research lines: (i) With the aim of mimicking complex cross-regulation mechanisms prevalent in metabolism, we have engineered enzyme cascades, including cross-regulated reactions, that rely on ArMs. These efforts highlight the remarkable (bio)compatibility and complementarity of ArMs with natural enzymes. (ii) Additionally, multiple-turnover catalysis in the cytoplasm of aerobic organisms was achieved with ArMs that are compatible with a glutathione-rich environment. This feat is demonstrated in HEK-293T cells that are engineered with a gene switch that is upregulated by an ArM equipped with a cell-penetrating module. (iii) Finally, ArMs offer the fascinating prospect of "endowing organometallic chemistry with a genetic memory." With this goal in mind, we have identified E. coli's periplasmic space and surface display to compartmentalize an ArM, while maintaining the critical phenotype-genotype linkage. This strategy offers a straightforward means to optimize by directed evolution the catalytic performance of ArMs. Five reactions have been optimized following these compartmentalization strategies: ruthenium-catalyzed olefin metathesis, ruthenium-catalyzed deallylation, iridium-catalyzed transfer hydrogenation, dirhodium-catalyzed cyclopropanation and carbene insertion in C-H bonds. Importantly, >100 turnovers were achieved with ArMs in E. coli whole cells, highlighting the multiple turnover catalytic nature of these systems.
Artificial metalloenzymes (ArMs) result from anchoring a metal-containing moiety within a macromolecular scaffold (protein or oligonucleotide). The resulting hybrid catalyst combines attractive features of both homogeneous catalysts and enzymes. This strategy includes the possibility of optimizing the reaction by both chemical (catalyst design) and genetic means leading to achievement of a novel degree of (enantio)selectivity, broadening of the substrate scope, or increased activity, among others. In the past 20 years, the Ward group has exploited, among others, the biotin-(strept)avidin technology to localize a catalytic moiety within a well-defined protein environment. Streptavidin has proven versatile for the implementation of ArMs as it offers the following features: (i) it is an extremely robust protein scaffold, amenable to extensive genetic manipulation and mishandling, (ii) it can be expressed in E. coli to very high titers (up to >8 g·L-1 in fed-batch cultures), and (iii) the cavity surrounding the biotinylated cofactor is commensurate with the size of a typical metal-catalyzed transition state. Relying on a chemogenetic optimization strategy, varying the orientation and the nature of the biotinylated cofactor within genetically engineered streptavidin, 12 reactions have been reported by the Ward group thus far. Recent efforts within our group have focused on extending the ArM technology to create complex systems for integration into biological cascade reactions and in vivo. With the long-term goal of complementing in vivo natural enzymes with ArMs, we summarize herein three complementary research lines: (i) With the aim of mimicking complex cross-regulation mechanisms prevalent in metabolism, we have engineered enzyme cascades, including cross-regulated reactions, that rely on ArMs. These efforts highlight the remarkable (bio)compatibility and complementarity of ArMs with natural enzymes. (ii) Additionally, multiple-turnover catalysis in the cytoplasm of aerobic organisms was achieved with ArMs that are compatible with a glutathione-rich environment. This feat is demonstrated in HEK-293T cells that are engineered with a gene switch that is upregulated by an ArM equipped with a cell-penetrating module. (iii) Finally, ArMs offer the fascinating prospect of "endowing organometallic chemistry with a genetic memory." With this goal in mind, we have identified E. coli's periplasmic space and surface display to compartmentalize an ArM, while maintaining the critical phenotype-genotype linkage. This strategy offers a straightforward means to optimize by directed evolution the catalytic performance of ArMs. Five reactions have been optimized following these compartmentalization strategies: ruthenium-catalyzed olefin metathesis, ruthenium-catalyzed deallylation, iridium-catalyzed transfer hydrogenation, dirhodium-catalyzed cyclopropanation and carbene insertion in C-H bonds. Importantly, >100 turnovers were achieved with ArMs in E. coli whole cells, highlighting the multiple turnover catalytic nature of these systems.
Biology relies on a set
of bioavailable elements and cofactors
to catalyze a variety of chemical transformations. Biosynthesis is
fine-tuned and regulated, allowing for multistep synthesis without
the need for isolation of intermediates or protecting groups. In contrast,
chemists are able to access non-bioavailable elements and molecules
to develop catalysts. Multistep synthesis, however, often requires
isolation of intermediates and use of protecting groups. Merging features
of synthetic and biological catalysts could provide benefits for both
biology and chemistry. Inserting synthetic catalysts into biological
systems could expand the repertoire of reactions available in biology,
giving access to new biocatalysts. Additionally, instilling catalysts
with regulatory features prevalent in biology may enable cascades
that are often not possible with synthetic catalysts. Introduction
of catalysts into a biological context can be challenging for several
reasons: (i) homogeneous catalysts are often intolerant toward oxygen,
water, or both, (ii) cross-reactivity of synthetic catalysts and biomolecules
can lead to mutual deactivation,[1] and (iii)
synthetic catalysts often perform best in organic solvents. Some of
these limitations may be circumvented by compartmentalizing the catalyst
within a protein environment.[2,3]In biology, catalytic
cofactors are often protected from the surrounding
media by scaffolding within a protein. Borrowing from this methodology,
homogeneous catalysts can be anchored into a protein to afford artificial
metalloenzymes (ArMs). ArMs may combine advantageous features of organometallic
and enzymatic catalysts, providing a means for designing new-to-nature
biocatalysts and incorporating synthetic catalysts into cascades.
Using this approach, our group has exploited streptavidin (SAV) as
a scaffold. These SAV-based ArMs have been optimized to catalyze a
variety of organic transformations, summarized in previous reviews.[4−6] Building on this experience, recent work has focused on addressing
new challenges: (i) the creation of new cascades, (ii) mimicking cross-regulation
by combining ArMs with enzymes, and (iii) directed evolution of ArMs.
By building upon these efforts in our future work, our ultimate aim
is to create new biocatalytic networks and metabolic pathways in vivo.
Cascades involve the combination of two
or more concomitant reactions
in a single vessel without isolation of intermediates.[7,8] Although cascades are less common in synthetic chemistry, Nature
relies on cascades to produce its metabolites. This feat is achieved
by enzymes that have evolved to operate in complex mixtures. One advantage
of enzymes is that the active site is often protected by the surrounding
amino acids. This prevents undesired cross-reactivity or catalyst
poisoning. We reasoned that to engineer cascades, SAV-based ArMs may
provide an attractive tool. Protecting a catalyst upon incorporation
within SAV reduces unwanted side reactions and prevents inhibition.[9]In our previous Accounts,[5,6] we summarized our efforts
toward the development of an artificial transfer hydrogenase for the
reduction of imines (ATHase). The cofactor was composed of a d6-piano-stool complex bearing an aminosulfonamide or aminoamide
ligand. These ATHases required molar concentrations of formate, precluding
their use in vivo. With our aim of developing in vivo cascades, we set out to identify a biocompatible
hydride source.
An NADPH-Dependent Artificial Transfer Hydrogenases
for Multienzymatic Cascades
Inspired by Nature, we selected
the NAD(P)+/NAD(P)H couple (and mimics thereof) and evaluated
their compatibility with ATHases based on the biotin–streptavidin
technology.[10] Initial studies focused on
NAD+ mimics, which were shown to act as hydride source
with ene-reductases from the Old Yellow Enzyme (OYE) family.[11] A two-enzyme cascade was assembled by combining
an ATHase with an ene-reductase.[10,12] By fine-tuning
the reaction conditions to minimize the reduction of the enoate by
the ATHase,[13] the NAD+ mimic
could be recycled by the ATHase using formate as a terminal reductant.
The resulting cascade led to the production of cyclic ketones and
lactones in high ee (91–93%), Scheme a.
Scheme 1
Enzyme Cascades Using ATHases
(a) Catalytic reduction of
enones by ene reductase and catalytic NAD+ regeneration
by [Cp*Ir(Biot-p-L)Cl]·SAV. (b) Cofactor and
corresponding ATHase: [(Biot-Cp*)Ir(phen(OH)2)Cl]·SAV.
(c) Four enzyme cascade for the reduction of cyclic imines using glucose
as terminal reductant.
Enzyme Cascades Using ATHases
(a) Catalytic reduction of
enones by ene reductase and catalytic NAD+ regeneration
by [Cp*Ir(Biot-p-L)Cl]·SAV. (b) Cofactor and
corresponding ATHase: [(Biot-Cp*)Ir(phen(OH)2)Cl]·SAV.
(c) Four enzyme cascade for the reduction of cyclic imines using glucose
as terminal reductant.We hypothesized that
it may be possible to utilize NAD(P)H as a hydride source for the ATHase. For the
regeneration of NADP+, we selected glucose dehydrogenase
(GDH), an enzyme that converts glucose into gluconolactone, thereby
reducing NADP+ to NADPH. To identify the most suitable
biotinylated d6-piano-stool complex that accepts a hydride
from NADPH, we screened bidentate ligands in combination with either
Rh(III) or Ir(III) bearing a biotinylated cyclopentadienyl moiety
(Biot–Cp*, Scheme b). This allowed us to screen bidentate ligands without biotinylating
each ligand prior to screening.[14] Among
the 27 bidentate ligands tested, 4,7-dihydroxy-1,10-phenanthroline
(phen(OH)2) was the best candidate for the reduction of
1-methyl-3,4-dihydroisoquinoline (MDQ) to 1-methyl-1,2,3,4-tetrahydroisoquinoline
(MTQ), Scheme c.[15] An enzyme cascade was assembled by combining
GDH and the ATHase, enabling reduction of MDQ using glucose as reductant.
The performance of the ATHase was fine-tuned by screening a focused
library of SAV mutants: [(Biot–Cp*)Ir(phen(OH)2)Cl]·SAV
K121R displayed a 5-fold higher turnover compared to WT SAV ATHase.
To upgrade the enantioselectivity (<20% ee in favor of (R)-MTQ), an (S)-selective monoamine oxidase
(MAO) was added to the cascade. A catalase (from bovine liver) ensured
the rapid disproportionation of H2O2 produced
by the MAO. With this four-enzyme cascade, full conversion with >99%
ee was achieved, using only two equivalents of glucose.
Enzymatic Regulation of a pH-Programmed ATHase
Metabolic
pathways are tightly (cross-)regulated by enzymes that
balance the equilibrium of a myriad of reactions required to sustain
life. In vivo, metabolic pathways are responsive
to chemical and physical stimuli. A pathway can be turned on or off
to provide cells with necessary resources on demand, limiting the
waste of precious metabolic resources. Engineering cross-regulated
pathways is challenging but provides a mechanism for regulating catalysis.
To address this challenge, we designed a reversible pH-trigger for
an ATHase.[16] The activity of the ATHase
[(Biot–Cp*)Ir(phen(OH)2)Cl]·SAV K121R is regulated
by urease in a pH-responsive fashion, mimicking cross-regulated networks.[16] Enrofloxacin (1) was selected as
substrate as, upon reduction and decarboxylation, the yellow ketone 2 is produced, which can be monitored spectrophotometrically
(Scheme a).
Scheme 2
Temporally
Programmed Reduction of Enrofloxacin
(a) Both the ATHase and urease
are reversibly inhibited at basic pH. The activity of the urease leads
to inhibition of the ATHase, which is restored by acidification, acting
as fuel to drive both reactions. (b) Reaction progress (violet) as
a function of pH. Adapted from ref (16). Copyright 2017 John Wiley & Sons.
Temporally
Programmed Reduction of Enrofloxacin
(a) Both the ATHase and urease
are reversibly inhibited at basic pH. The activity of the urease leads
to inhibition of the ATHase, which is restored by acidification, acting
as fuel to drive both reactions. (b) Reaction progress (violet) as
a function of pH. Adapted from ref (16). Copyright 2017 John Wiley & Sons.Initial studies revealed that the reduction of enrofloxacin
by
the ATHase [(Biot–Cp*)Ir(phen(OH)2)Cl]·SAV
K121R exhibits pH-dependent behavior and proceeds under acidic but
not basic conditions. Restoration of ATHase activity is observed upon
addition of HCl (pH < 6.0) to a stalled alkaline solution. We reasoned
that the pH of the solution may be regulated by urease (from Canavalia ensiformis) that hydrolyzes urea to NH3 and CO2, leading to alkalization. Compartmentalization
of the cofactor within SAV is essential for both enzymes to coexist:
in the absence of SAV, both [(Biot–Cp*)Ir(phen(OH)2)H] and urease suffer from inactivation.An ATHase and urease
mixture containing their respective substrates
(urea and enrofloxacin) was prepared at pH = 9. Upon lowering the
pH to below 6.5, the two enzymes are activated; both the pH and the
formation of 2 can be monitored. The formation of 2 is observed in the acidic regime, but gradual increase in
pH caused by the production of ammonia inhibits the reaction above
pH ∼ 7. Addition of HCl readily restores both enzymatic activities
(Scheme b).The addition of HCl can be circumvented by incorporating an esterase.
We envisioned that ethyl butyrate could act as a dormant activator,
as it is converted to butyric acid by an esterase (Scheme a). As predicted, addition
of an esterase to a mixture at pH > 8 consisting of [(Biot–Cp*)Ir(phen(OH)2)H]·SAV K121R, urease, enrofloxacin, urea, and ethyl
butyrate causes a pH decrease, and product formation is detected when
an acidic pH is reached. Product formation continues until basic pH
is reached.
Compartmentalization of Artificial
Metalloenzymes
in More Complex Structures
Interactions between the protein
and the substrate lead to precise
positioning and rapid turnover. From the >20 structurally characterized
SAV-based ArMs, the cofactor resides in a narrow dispersion, tweezed
between S112 and K121 SAV residues (Scheme a). These two residues are often our prime
choice for genetic optimization. Despite the undeniable power of this
methodology, it does not allow for large perturbations of the ArM’s
active site owing to the rigidity of the protein scaffold and shallow
topology of the biotin binding vestibule (Scheme a). In efforts to engineer a more buried
active site, we encapsulated an ArM within a protein host to provide
the cofactor with a third coordination sphere: the biotinylated ligand
and SAV providing the first- and second-coordination spheres, Scheme b.
Scheme 3
Engineering a Third
Coordination Sphere around Biotinylated Metal
Cofactors by Inclusion within Ferritin
(a) Metal distribution of
SAV-based ArMs from X-ray. (homotetrameric SAV is displayed as surface,
residues S112 and K121 of adjacent SAV monomers forming the biotin-binding
vestibule are highlighted in tan; the metals from the biotinylated
Ir (yellow, PDB codes 6GMI, 6ESS, 6ESU, 4OKA, and 3PK2), Rh (orange, PDB
codes 4GJV and 4GJS), Ru (magenta, PDB
codes 6FH8, 5F2B, 5IRA, 2QCB, and 2WPU), Cu (blue, PDB
codes 5VKX, 5VL5, 5VL8, 5WBA, 5WBB, 5WBD, 6ANX, 5WBC, 5K67, 5K68, and 5L3Y) and Pd (green,
PDB code 5CSE) cofactors are represented by spheres (only one metal per SAV dimer
displayed). (b) Slice through the docked structure of [Cp*Ir(Biot-p-L)Cl]·SAV (PDB code 3PK2, dimensions 4.5 nm × 5.5 nm ×
5.1 nm) encapsulated within ferritin (slice through the surface display
(brown shell), PDB code 5C6F). (c) Cartoon representation for [Cp*Ir(Biot-p-L)Cl] and ATHase (see Scheme for details). (d) Results of ATHase encapsulated
within ferritin. Positive ee, (R)-products; negative
ee, (S)-products.
Engineering a Third
Coordination Sphere around Biotinylated Metal
Cofactors by Inclusion within Ferritin
(a) Metal distribution of
SAV-based ArMs from X-ray. (homotetrameric SAV is displayed as surface,
residues S112 and K121 of adjacent SAV monomers forming the biotin-binding
vestibule are highlighted in tan; the metals from the biotinylated
Ir (yellow, PDB codes 6GMI, 6ESS, 6ESU, 4OKA, and 3PK2), Rh (orange, PDB
codes 4GJV and 4GJS), Ru (magenta, PDB
codes 6FH8, 5F2B, 5IRA, 2QCB, and 2WPU), Cu (blue, PDB
codes 5VKX, 5VL5, 5VL8, 5WBA, 5WBB, 5WBD, 6ANX, 5WBC, 5K67, 5K68, and 5L3Y) and Pd (green,
PDB code 5CSE) cofactors are represented by spheres (only one metal per SAV dimer
displayed). (b) Slice through the docked structure of [Cp*Ir(Biot-p-L)Cl]·SAV (PDB code 3PK2, dimensions 4.5 nm × 5.5 nm ×
5.1 nm) encapsulated within ferritin (slice through the surface display
(brown shell), PDB code 5C6F). (c) Cartoon representation for [Cp*Ir(Biot-p-L)Cl] and ATHase (see Scheme for details). (d) Results of ATHase encapsulated
within ferritin. Positive ee, (R)-products; negative
ee, (S)-products.
Ferritin
as a Tertiary Coordination Sphere
The ferritin family of
iron-storage proteins have long been exploited
for biotechnological applications.[17] Ferritin
comprises 24 monomers that form a ∼7–8 Å spherical
cage, which encapsulate, store, and traffic ∼2400 Fe atoms
(as Fe/OH/PO4).[17] The reversible
formation of apoferritin is achieved upon acidification and neutralization.
The encapsulation of a commensurate cargo is achieved upon refolding
ferritin in the presence of the cargo.We incorporated [Cp*Ir(Biot-p-L)Cl]·SAV into apoferritin to probe the effect of
ferritin on ATHase activity (Scheme d).[18] Access of the protonated
substrates 3 or 5 to the ATHase was facilitated
by the ferritin 3-fold channels that direct cationic substrates to
the interior. The encapsulation of the [Cp*Ir(Biot-p-L)Cl]·SAV@ferritin altered product distribution and catalytic
performance. In the absence of ferritin, [Cp*Ir(Biot-p-L)Cl]·SAV S112A leads to the (R)-4 (75% ee and 142 TON). In contrast, [Cp*Ir(Biot-p-L)Cl]·SAV@ferritin affords preferentially (S)-4. For the most active ATHase, [Cp*Ir(Biot-p-L)Cl]·SAV S112A–K121A,[19] encapsulation enhances the TON for substrate 6 (TON = 289 vs 3874 for the free and encapsulated ATHases, respectively).
These data highlight the influence the tertiary coordination sphere
on the performance of ArMs. Failure to structurally characterize [Cp*Ir(Biot-p-L)Cl]·SAV@ferritin by X-ray points toward a high
degree of disorder of the ATHase within ferritin. A crystal structure
of ferritin (PDB 5C6F)[20] allowed us to model [Cp*Ir(Biot-p-L)Cl]·SAV@ferritin (Scheme b).
Artificial Metalloenzyme
That Regulates a
Gene Switch in Mammalian Cells
Whole-cell catalysis has received
increasing attention as it offers the possibility to combine abiotic
reactions with metabolic pathways. Artificial metalloenzymes may provide
versatile tools toward this endeavor. Although several examples involving
organometallic catalysis within E. coli or mammalian
cells have been reported,[21] rarely is there
a productive cooperation between the cellular environment and the
abiotic reaction that leads to activation of cellular function.We thus set out to upregulate the expression of a reporter protein
in response to an ArM (Scheme ). The ArM produces a bioactive molecule that triggers the
transcription of a gene that can be visualized by the production of
a bioluminescent marker. Several factors need to be addressed to ensure
the orchestration of this cascade: (i) efficient uptake of ArMs by
mammalian cells and subsequent monitoring of ArM localization (Scheme a); (ii) engineering
of a gene switch that is regulated by the product of the ArM-catalyzed
reaction, resulting in (iii) a luminescent readout (Scheme c).[22]
Scheme 4
Artificial Metalloenzyme Upregulates a Gene Circuit in Mammalian
Cells
(a) The catalyst [CpRu(Biot-QuinCO2)H2O] is combined within SAV with a biotinylated
cell-penetrating disulfide CPD equipped with a fluorescent reporter
(TAMRA). The cell-penetrating ArM enters the designer HEK-293T cell
by covalent-mediated disulfide exchange.[27] (b) The doubly-caged hormone AM-AT3 is hydrolyzed to
AT3 by endogeneous esterases. The O-allylcarbamate
moiety is hydrolyzed in vivo by the cell-penetrating
ArM to afford T3. (c) The designer HEK-293T cells are equipped
with a gene circuit to respond to the T3-hormone, leading
to the bioluminescent production of 8 from furimazine.
The cell’s viability is monitored by the formation of p-nitrophenolate produced by a constitutively expressed
alkaline phosphatase. Adapted with permission from ref (22). Copyright 2018 Nature
Publishing Group.
Artificial Metalloenzyme Upregulates a Gene Circuit in Mammalian
Cells
(a) The catalyst [CpRu(Biot-QuinCO2)H2O] is combined within SAV with a biotinylated
cell-penetrating disulfideCPD equipped with a fluorescent reporter
(TAMRA). The cell-penetrating ArM enters the designer HEK-293T cell
by covalent-mediated disulfide exchange.[27] (b) The doubly-caged hormone AM-AT3 is hydrolyzed to
AT3 by endogeneous esterases. The O-allylcarbamate
moiety is hydrolyzed in vivo by the cell-penetrating
ArM to afford T3. (c) The designer HEK-293T cells are equipped
with a gene circuit to respond to the T3-hormone, leading
to the bioluminescent production of 8 from furimazine.
The cell’s viability is monitored by the formation of p-nitrophenolate produced by a constitutively expressed
alkaline phosphatase. Adapted with permission from ref (22). Copyright 2018 Nature
Publishing Group.(i) Inspired by Meggers’
ruthenium catalyst for uncaging
of an O-allyl carbamate in vivo,[23] we synthesized a biotinylated analog Biot-QuinCO2 for assembly with SAV. In vitro genetic
optimization led us to select [CpRu(Biot-QuinCO2)H2O]·SAV S112A for the O-allyl carbamate
cleavage of AT3. To overcome modest cellular uptake of
related organometallic complexes,[24,25] we combined
it with a cell-penetrating module. Thanks to the homotetrameric nature
of SAV, we coassembled [CpRu(Biot-quinCO2)H2O] with a biotinylated cell-penetrating moiety. We selected a cell-penetrating
poly(disulfide) (CPD), developed by Matile.[26] The CPD contains a fluorescent TAMRA moiety that allows real-time
monitoring of the cellular uptake and distribution of the fully assembled
ArM. To favor the uptake of the O-allylcarbamate-caged
thyroid hormone AT3, we esterified it to AM-AT3 (these are readily saponified by endogeneous esterases in mammalian
cells).(ii) The HEK-293T cells were engineered with a T3-responsive
gene switch, consisting of genes encoding a synthetic T3-thyroid hormone receptor (TSR) and a Gal4-specific operator sequence
under the control of a minimal promoter that induces the expression
of a secreted nanoluc (sec-nluc), a bioluminescence reporter. In the
presence of T3, the TSR recruits coactivators, triggering
histone acetylation to initiate sec-nluc expression. The last step
can be monitored by the luminescent conversion of furimazine 7 into product 8. To highlight cell-viability,
an alkaline phosphatase (SEAP) was coexpressed constitutively, leading
to the formation p-nitrophenolate 10 by hydrolysis of p-nitrophenylphosphate (9, Scheme ).(iii) The HEK-293T cells, transfected with the T3-responsive
gene switch, were treated with [CpRu(Biot-QuinCO2)H2O]·SAV S112A. Introduction of the ArM caused an increase
in fluorescence as revealed by confocal microscopy and flow cytometry,
confirming the ArM’s uptake. After incubation and washing,
the substrate AM-AT3 was added. The luminescence caused
by the gene switch was significantly higher in the presence of [CpRu(Biot-QuinCO2)H2O]·SAV S112A than either with the free
cofactor or with no cofactor at all. The ArM devoid of its CPD moiety
also gave much lower luminescence. These observations confirm that
only cell-penetrating ArMs lead to the uncaging of AT3in vivo, highlighting the importance of membrane permeability.
The constitutive expression of an alkaline phosphatase allowed us
to monitor the viability of the engineered HEK-293T cells throughout
the entire process.
Compartmentalization and
Surface Display of
ArMs: Versatile Platforms
for Directed Evolution of ArMs in Living Cells
Introduction
With
the goal of optimizing
ArMs through directed evolution, we sought to create a screening platform
for ArM activity. Although some catalysts are active in vivo, most notably the [CpRuL3]-based systems developed by
Meggers,[23−25,28] many precious-metal
catalysts are irreversibly poisoned in the cell.[29−31] This deactivation
is primarily caused by thiols, most notably glutathione.[31] Previous work with cell-free extracts revealed
that diamide oxidizes glutathione, preventing poisoning of iridium
catalysts.[31] Implementation of this diamide
strategy allowed for optimization by directed evolution of an artificial
imine reductase, using cell free extracts.[32] The scope of this strategy, however, is limited because (i) diamide
is incompatible with some catalysts and (ii) the method is significantly
more laborious than traditional in vivo evolution
methods, limiting the number of variants that can be practically screened.
Alternatively, sequestration of ArMs into chemically distinct compartments
offers the opportunity to minimize catalyst poisoning. Two convenient
methods of compartmentalization are available for E. coli: periplasmic secretion and surface display. Each of these methods
presents advantages and disadvantages, Scheme .
Scheme 5
Strategies for Compartmentalization of ArMs
in E. coli
The ArM scaffolds (blue, only
one monomer displayed) can be localized in the cytoplasm, in the periplasm,
or on the surface. Cytoplasmic expression results in high protein
expression but reduces accessibility of the substrate and metal cofactor.
Additionally, the cytoplasmic environment is rich in thiols. In contrast,
surface display of the ArM scaffold decreases expression level but
favorably increases cofactor and substrate accessibility and decreases
exposure of the ArM to thiols. Catalysis within the periplasm provides
a good compromise in terms of expression level, accessibility, and
thiol concentration. Adapted with permission from ref (33). Copyright 2016 Academic
Press.
Strategies for Compartmentalization of ArMs
in E. coli
The ArM scaffolds (blue, only
one monomer displayed) can be localized in the cytoplasm, in the periplasm,
or on the surface. Cytoplasmic expression results in high protein
expression but reduces accessibility of the substrate and metal cofactor.
Additionally, the cytoplasmic environment is rich in thiols. In contrast,
surface display of the ArM scaffold decreases expression level but
favorably increases cofactor and substrate accessibility and decreases
exposure of the ArM to thiols. Catalysis within the periplasm provides
a good compromise in terms of expression level, accessibility, and
thiol concentration. Adapted with permission from ref (33). Copyright 2016 Academic
Press.Unlike the cytoplasm, the periplasm
is slightly oxidizing and contains
significantly less glutathione (GSH).[34] In addition, GSH in the periplasm exists mostly in it oxidized form,
GSSG, which is less deleterious for both ruthenium and iridium catalysts.[29,31] Surface display leads to anchoring of the protein to the outer membrane,
significantly reducing exposure to thiols.In addition to sequestering
the catalyst, it was posited that these
methods might afford higher access of the substrate and the abiotic
cofactor required for ArM assembly. To accumulate in the cytoplasm,
the cofactor must transit through the outer membrane and the less-permeable
inner membrane of E. coli. Exporting the ArM scaffold
to the periplasm eliminates the need for the cofactor to cross the
inner membrane. Implementing the surface-display method provides even
greater accessibility.Both periplasmic secretion and surface
display retain the phenotype–genotype
linkage required for directed evolution. With these features in mind,
we assessed the utility of both these methods for directed evolution
of ArMs.
Directed Evolution of a Metathase Facilitated
by Compartmentalization in E. coli’s Periplasm
We reported the directed evolution of a periplasm-localized ArM
for olefin metathesis (metathase).[29] Although
olefin metathesis is ubiquitously used in organic synthesis, there
is no equivalent in Nature. Ru-based metathesis catalysts offer auspicious
tools for the creation of ArMs because they are water and oxygen tolerant.[35−37] However, Ru-based metathesis catalysts are sensitive to GSH, either
in the presence or in the absence of SAV.[30]To create a periplasm-compartmentalized ArM scaffold, we modified
SAV for periplasmic secretion (Scheme ). This engineered SAV (SAVperi) contained
a short, nine amino acid, N-terminal peptide sequence (OmpA). Upon
secretion by the SEC pathway, the OmpA tag is cleaved providing untagged
SAV.[38] Periplasmic fractionation and fluorescent
staining confirmed that SAVperi was secreted to the periplasm
and maintained its biotin-binding activity.
Scheme 6
Metathase Compartmentalized
in the Periplasm of E. coli
(a) Cytoplasmic expression
of SAVperi (displayed as a monomer for clarity) is followed
by secretion to the periplasm. In the periplasm, the OmpA tag is hydrolyzed,
and the homotetrameric SAVperi binds to [RuCl2(Biot–NHC)(styr)], affording the metathase that converts 11 to fluorescent umbelliferone, 12. (b) In vivo activity of the cofactor [RuCl2(Biot–NHC)(styr)]
in the absence (SAV–) and presence of SAVperi. Adapted with permission from ref (29). Copyright 2016 Nature Research.
Metathase Compartmentalized
in the Periplasm of E. coli
(a) Cytoplasmic expression
of SAVperi (displayed as a monomer for clarity) is followed
by secretion to the periplasm. In the periplasm, the OmpA tag is hydrolyzed,
and the homotetrameric SAVperi binds to [RuCl2(Biot–NHC)(styr)], affording the metathase that converts 11 to fluorescent umbelliferone, 12. (b) In vivo activity of the cofactor [RuCl2(Biot–NHC)(styr)]
in the absence (SAV–) and presence of SAVperi. Adapted with permission from ref (29). Copyright 2016 Nature Research.The biotinylated metathesis cofactor [RuCl2(Biot–NHC)(styr)]
consists of a biotin linked to an Hoveyda–Grubbs second-generation
catalyst. ICP-OES of cell fractions confirmed that [RuCl2(Biot–NHC)(styr)] diffuses through the outer membrane and
accumulates in the periplasm. When SAVperi is present,
the concentration of [RuCl2(Biot–NHC)(styr)] in
the periplasm increases 3-fold. To examine the activity of the [RuCl2(Biot–NHC)(styr)]·SAVperi, the umbelliferone
precursor 11 and [RuCl2(Biot–NHC)(styr)]
were incubated with cells lacking or expressing SAVperi (Scheme b). Cells
expressing SAVperi catalyzed the ring-closing metathesis
(RCM) reaction of olefin 11 to yield fluorescent umbelliferone
(12). Quantification of metathase activity was determined
by fluorescence. In the absence of SAVperi, negligible
metathesis activity was observed in cells. Accordingly, the observed
reactivity is attributed to the assembled metathase, enabling quantification
with minimal background from the unbound [RuCl2(Biot–NHC)(styr)]
cofactor. Thus, we implemented a protocol for directed evolution based
on fluorescent screening of SAVperi mutant libraries in E. coli (Scheme a).
Scheme 7
Optimization of a Metathase through Iterative Saturation
Mutagenesis
(a) Schematic workflow of
the fluorescence-based assay for periplasm-localized ArMs. (b) Cell-specific
activity allows identifying advantageous mutations obtained during
iterative saturation mutagenesis. (c) Structural characterization
of the fifth-generation metathase (PDB 5F2B). The asterisks highlight amino acids
on the adjacent monomer. (d) Ring-closing metathesis activity of purified
metathases towards substrates 2,2-diallyl-1,3-propanediol (13) and diallyl-sulfonamide (15). Adapted with permission
from ref (29). Copyright
2016 Nature Research.
Optimization of a Metathase through Iterative Saturation
Mutagenesis
(a) Schematic workflow of
the fluorescence-based assay for periplasm-localized ArMs. (b) Cell-specific
activity allows identifying advantageous mutations obtained during
iterative saturation mutagenesis. (c) Structural characterization
of the fifth-generation metathase (PDB 5F2B). The asterisks highlight amino acids
on the adjacent monomer. (d) Ring-closing metathesis activity of purified
metathases towards substrates 2,2-diallyl-1,3-propanediol (13) and diallyl-sulfonamide (15). Adapted with permission
from ref (29). Copyright
2016 Nature Research.The screening platform
enables rapid 96-well plate analysis of
single clones. In this workflow, the DNA library is transformed into
chemically competent E. coli. For library screening,
Top10 cells were selected because they provide the optimal combination
of high transformation efficiency and efficient secretion of OmpA-tagged
proteins to the periplasm.DNA libraries were designed for single-site-saturation
mutagenesis
of the 20 residues closest to the Ru atom based on a docking model
of [RuCl2(Biot–NHC)(styr)] with WT SAV. A single
mutation at 14 of the 20 proximal residues yielded an advantageous
mutant. Iterative saturation mutagenesis[39] at these 14 residues resulted in a mutant with a 5-fold increased
activity with 11 using [RuCl2(Biot–NHC)(styr)]·SAVmut (SAVmut = SAV V47A/N49K/T114Q/A119G/K121R).After directed evolution for metathesis using 11,
we evaluated the substrate scope of the evolved metathase [RuCl2(Biot–NHC)(styr)]·SAVmut, using purified
SAVmut. The activity was assessed with two substrates:
2,2-diallyl-1,3-propanediol (13) and a cationic diallyl-sulfonamide 15, Scheme d. RCM of 13 yielded the highest turnover with [RuCl2(Biot–NHC)(styr)]·SAVmut. Turnover
for 15 was higher with WT SAV than with [RuCl2(Biot–NHC)(styr)]·SAVmut. We hypothesize that
the positively charged 121R residue within the evolved active site
may prevent efficient turnover with the cationic substrate.To identify a metathase for cationic substrates, a second round
of directed evolution of SAVmut was conducted with 15. The positively charged residue K121R of SAVmut was randomized. Screening with 15 was adapted to replace
fluorescence detection with LC-MS analysis. The UPLC-MS-based screening
revealed that [RuCl2(Biot–NHC)(styr)]·SAVmut2 (V47A/N49K/T114Q/A119G/K121L) yielded the highest TON
for the cationic substrate. The SAVmut2 host performed
worse than SAVmut for the neutral substrates 11 and 13, suggesting that the mutation is only beneficial
for the cationic substrate. These results indicate that a rapid fluorescent
screening platform can provide a highly valuable starting point for
slower LC-MS screening platforms. Gratifyingly, the RCM activity of
both the Hoveyda–Grubbs second generation and its water-soluble
version (Aquamet) with either substrate 11 or 13 was lower than that obtained in the presence of [RuCl2(Biot–NHC)(styr)]·SAVmut.These results
provide a novel method for rapid directed evolution
of ArMs in E. coli. This method is amenable to “substrate
walking” allowing access to diverse substrates, with a limited
reoptimization effort. Following the publication of this work, our
group has developed an ArM for carbene transfer[40] as well as transfer hydrogenation relying on a self-immolating
iminium substrate[41] using a similar periplasmic
screening platform.
Directed Evolution of an
Allylic Deallylase
Facilitated by Surface Display
Surface display also presents
a propitious means to protect ArMs from thiols and to increase accessibility
of the substrate and metal cofactor. Very recently, we reported a
strategy for displaying ArMs on the surface of E. coli (Scheme ).[42] The N-terminal tag for surface display consists
of an Lpp peptide (amino acids 1–9) and OmpA (46–159)
linked to SAV (Lpp-OmpA-SAV is referred to SAVSD hereafter).
Quantitative export of SAVSD to the extracellular space
was confirmed by antibody-based staining of cells expressing SAV,
SAVperi, and SAVSD. Although the oligomeric
state of SAVSD could not be assessed, other oligomeric
proteins form their natural oligomeric state when expressed on the
cell surface.[43] Thus, we assume that SAVSD is likely to be a tetramer when expressed on the cell surface.
Scheme 8
Surface Displayed Artificial Deallylase
Assembly of the deallylase
on the cell surface (single monomer of SAVSD depicted).
SAVSD is displayed on the surface enabling facile assembly
of the ArM. Once the deallylase is assembled, there is unencumbered
access of the allyl-protected substrate 17. The deallylase
converts 17 to the fluorescent product 18. Adapted with permission from ref (42). Copyright 2018 Royal Society of Chemistry.
Surface Displayed Artificial Deallylase
Assembly of the deallylase
on the cell surface (single monomer of SAVSD depicted).
SAVSD is displayed on the surface enabling facile assembly
of the ArM. Once the deallylase is assembled, there is unencumbered
access of the allyl-protected substrate 17. The deallylase
converts 17 to the fluorescent product 18. Adapted with permission from ref (42). Copyright 2018 Royal Society of Chemistry.As a proof of concept, this system was used to
evolve an ArM for
allylic deallylation (ADAse hereafter) by anchoring [CpRu(Biot-QuinCO2)H2O] to SAVSD.[42] This [CpRu(Biot-QuinCO2)H2O] cofactor was
selected because the cofactor catalyzes uncaging at very low catalyst
concentrations in vivo.[23,24,28]As a test substrate, the allylcarbamate-protected
coumarin 17 was selected. In vitro,
the [CpRu(Biot-QuinCO2)H2O] cofactor catalyzes
deprotection of 17 to afford the fluorescent aminocoumarin
(18). To test the catalyst in vivo,
cells were incubated
with [CpRu(Biot-QuinCO2)H2O] in the presence
and absence of SAVSD. Expression of WT SAVSD resulted in a 1.5-fold increase in production of 18, which provided an excellent starting point with limited background
from unbound catalyst.To assess the functionality of this platform,
iterative saturation
mutagenesis was conducted at two sites, (i) K121 and (ii) S112, using
the 22-codon trick, previously described by the Reetz laboratory.[44] A fluorescent screening platform, adapted from
the screening platform used for periplasmic screening, was implemented
(Scheme a). The platform
for screening surface-displayed ArMs was amenable to a 96-well format,
but washing the cell pellets before and after catalyst addition was
required to minimize background.
Scheme 9
Directed Evolution of an ArM for Deallylation
(a) Schematic workflow of
the fluorescence-based screening for surface-displayed ArMs. (b) Cell-specific
activity and TON of purified mutants. (c) Structural characterization
by X-ray of the most active ADAse resulting from directed evolution
(PDB 6FH8, the
Cp moiety, in magenta, as well as the additional solvent ligand were
disordered over two positions). Adapted with permission from ref (42). Copyright 2018 Royal
Society of Chemistry.
Directed Evolution of an ArM for Deallylation
(a) Schematic workflow of
the fluorescence-based screening for surface-displayed ArMs. (b) Cell-specific
activity and TON of purified mutants. (c) Structural characterization
by X-ray of the most active ADAse resulting from directed evolution
(PDB 6FH8, the
Cp moiety, in magenta, as well as the additional solvent ligand were
disordered over two positions). Adapted with permission from ref (42). Copyright 2018 Royal
Society of Chemistry.From the first round
of screening with the K121 library, three
mutants resulted in significantly higher activity than WT: K121S (7.2-fold),
K121A (6.4-fold), and K121M (2.6-fold), Scheme b. From these three improved mutants, libraries
were created in which position S112 was randomized by saturation mutagenesis.[44] This second round of mutagenesis resulted in
additional improvements to the activity compared to WT: S112Y–K121S
(25-fold), S112M–K121A (24-fold), and S112Q–K121M (17-fold).The best SAV mutants were expressed and purified for in
vitro catalysis. The activity improvements over WT were reduced in vitro (Scheme b): K121A (2.4-fold), K121S (2.0-fold), K121M (1.3-fold),
S112Y–K121S (4.0-fold), S112M–K121A (5.7-fold), and
S112Q–K121M (1.2-fold). The origin of these effects may derive
from local changes in structure upon surface display or differences
in the chemical environment between surface-display and purified SAV
samples. Other methods for in vivo directed evolution
have reported similar effects.[45]X-ray quality crystals of [CpRu(Biot-QuinCO2)H2O]·S112M–K121A were obtained by crystal soaking the apoprotein
with [CpRu(Biot-QuinCO2)H2O] (Scheme c). The structure highlights
a 112Met−π interaction with the quinoline ring of [CpRu(Biot-QuinCO2)H2O] that stabilizes the cofactor. Additionally,
a pocket for the quinoline ring is created between the K121A, S112,
and L124 from the neighboring SAV monomer.Using this surface-display
screening method, we have shown that
ArMs could be evolved with only two rounds of iterative saturation
mutagenesis, yielding 25-fold (in vivo) and 5.7-fold
(in vitro) improvements in catalysis. Using the versatile
fluorescent screening platform, more complex directed evolution campaigns
can be envisioned. To this end, our group is exploring extensive engineering
of ArM active sites, including loop insertions.[41,46]
Outlook
Initiated in 2000, the Ward
group has implemented 12 ArMs relying
on the biotin–(strept)avidin technology.[4−6] This contribution
summarizes our recent efforts toward in vivo catalysis
and cascade reactions, essential requirements for applications in
synthetic biology and artificial metabolism. Toward this goal, both
periplasmic secretion and surface display offer exciting avenues to
pursue. Future efforts are aimed at tailoring the shallow active site
to tackle more challenging reactions that require rigorous control
of second coordination sphere interactions between the substrate and
the catalyst.We believe that ArMs hold great promise in two
complementary domains:
(i) late-stage functionalization of high-added value drugs, whereby
catalyst control is highly desirable, and (ii) complementation natural
enzymes for synthetic biology applications. In the first domain, ArMs,
which are reminiscent of natural enzymes, provide a well-defined secondary
coordination sphere that may be an asset in overcoming a substrate’s
intrinsic reactivity profile. For the latter domain, the in
vivo combination of natural enzymes with the broad repertoire
of homogeneous catalysts will allow us to use microorganisms as test
tubes to produce chemicals or fuels. For both applications, directed
evolution is an essential tool to identify improved variants.
Authors: Caroline E Paul; Serena Gargiulo; Diederik J Opperman; Iván Lavandera; Vicente Gotor-Fernández; Vicente Gotor; Andreas Taglieber; Isabel W C E Arends; Frank Hollmann Journal: Org Lett Date: 2012-12-20 Impact factor: 6.005
Authors: V Köhler; Y M Wilson; M Dürrenberger; D Ghislieri; E Churakova; T Quinto; L Knörr; D Häussinger; F Hollmann; N J Turner; T R Ward Journal: Nat Chem Date: 2012-11-25 Impact factor: 24.427
Authors: Sabrina Kille; Carlos G Acevedo-Rocha; Loreto P Parra; Zhi-Gang Zhang; Diederik J Opperman; Manfred T Reetz; Juan Pablo Acevedo Journal: ACS Synth Biol Date: 2012-06-22 Impact factor: 5.110
Authors: Karin Engström; Eric V Johnston; Oscar Verho; Karl P J Gustafson; Mozaffar Shakeri; Cheuk-Wai Tai; Jan-E Bäckvall Journal: Angew Chem Int Ed Engl Date: 2013-11-12 Impact factor: 15.336
Authors: Kelsey R Miller; Saborni Biswas; Andrew Jasniewski; Alec H Follmer; Ankita Biswas; Therese Albert; Sinan Sabuncu; Emile L Bominaar; Michael P Hendrich; Pierre Moënne-Loccoz; A S Borovik Journal: J Am Chem Soc Date: 2021-02-02 Impact factor: 15.419
Authors: Joan Serrano-Plana; Corentin Rumo; Johannes G Rebelein; Ryan L Peterson; Maxime Barnet; Thomas R Ward Journal: J Am Chem Soc Date: 2020-06-03 Impact factor: 15.419