Controlled Logic Gates—Switch Gate and Fredkin Gate Based on Enzyme‐Biocatalyzed Reactions Realized in Flow Cells

Controlled logic gates, where the logic operations on the Data inputs are performed in the way determined by the Control signal, were designed in a chemical fashion. Specifically, the systems where the Data output signals directed to various output channels depending on the logic value of the Control input signal have been designed based on enzyme biocatalyzed reactions performed in a multi‐cell flow system. In the Switch gate one Data signal was directed to one of two possible output channels depending on the logic value of the Control input signal. In the reversible Fredkin gate the routing of two Data signals between two output channels is controlled by the third Control signal. The flow devices were created using a network of flow cells, each modified with one enzyme that biocatalyzed one chemical reaction. The enzymatic cascade was realized by moving the solution from one reacting cell to another which were organized in a specific network. The modular design of the enzyme‐based systems realized in the flow device allowed easy reconfiguration of the logic system, thus allowing simple extension of the logic operation from the 2‐input/3‐output channels in the Switch gate to the 3‐input/3‐output channels in the Fredkin gate. Further increase of the system complexity for realization of various logic processes is feasible with the use of the flow cell modular design.     

Site-specific fabrication of nanoscale heterostructures: local chemical modification of GaN nanowires using electrochemical dip-pen nanolithography

This article describes a new method for site-specific, atomic force microscope (AFM) fabrication of nanowire heterostructures using electrochemical dip-pen nanolithography (E-DPN). We have demonstrated that E-DPN is ideally suited for the in situ modification of nanoscale electronic devices; the AFM tip and the nanowire device can be used as electrodes and the reactants for the modification can be introduced by coating them onto the AFM tip. Specifically, we have created GaN nanowire heterostructures by a local electrochemical reaction between the nanowire and a tip-applied KOH "ink" to produce gallium nitride/gallium oxide heterostructures. By controlling the ambient humidity, reaction voltage, and reaction time, good control over the modification geometry is obtained. Furthermore, after selective chemical etching of gallium oxide, unique diameter-modulated nanowire structures can be produced. Finally, we have demonstrated the unique device fabrication capabilities of this technique by performing in situ modification of GaN nanowire devices and characterizing the device electronic transport properties. These results demonstrate that small modifications of nanowire devices can lead to large changes in the nanowire electron transport properties.     

Long‐Lived States of Magnetically Equivalent Spins Populated by Dissolution‐DNP and Revealed by Enzymatic Reactions

Hyperpolarization by dissolution dynamic nuclear polarization (D ‐DNP) offers a way of enhancing NMR signals by up to five orders of magnitude in metabolites and other small molecules. Nevertheless, the lifetime of hyperpolarization is inexorably limited, as it decays toward thermal equilibrium with the nuclear spin‐lattice relaxation time. This lifetime can be extended by storing the hyperpolarization in the form of long‐lived states (LLS) that are immune to most dominant relaxation mechanisms. Levitt and co‐workers have shown how LLS can be prepared for a pair of inequivalent spins by D ‐DNP. Here, we demonstrate that this approach can also be applied to magnetically equivalent pairs of spins such as the two protons of fumarate, which can have very long LLS lifetimes. As in the case of para‐hydrogen, these hyperpolarized equivalent LLS (HELLS) are not magnetically active. However, a chemical reaction such as the enzymatic conversion of fumarate into malate can break the magnetic equivalence and reveal intense NMR signals.     

Two general methods for the isolation of enzyme activities by colony filter screening

We describe two general methodologies, based on filter-sandwich assays, for isolating enzymatic activities from a large repertoire of protein variants expressed in the cytoplasm of E. coli cells. The enzymes are released by the freezing and thawing of bacterial colonies grown on a porous master filter and diffuse to a second "reaction" filter that closely contacts the master filter. Reaction substrates can be immobilized either on the filter or on the enzyme itself (which is then, in turn, captured on the reaction filter). The resulting products are detected with suitable affinity reagents. We used biotin ligase as a model enzyme to assess the performance of the two methodologies. Active enzymes were released by the bacteria, locally biotinylated the immobilized target substrate peptide, and allowed the sensitive and specific detection of individual catalytically active colonies.     

Torsion in biochemical reaction networks

This article starts in Part I with a simple example of two biochemical reaction networks that are indistinguishable at the macroscopic level but are different at the molecular level and are shown to have significantly different kinetic properties. So, if one completely ignores the fact that reactions advance in discrete steps at the molecular level, then one can fail to distinguish between networks with widely different kinetics. In part II biochemical reaction networks are treated in a general way to discover what property of a network, only seen at the molecular level, affects its kinetics. It is shown that every such network has a unique torsion group which can be described numerically and readily determined by a programmable computation. If the group is found to be the singleton {0} (as is most often the case in practice), then the network is said to be torsion-free and its kinetic properties unaffected by ignoring its discrete character. A chemical reaction network has to be represented algebraically to calculate its torsion group. If the network is to be understood only at the macroscopic level, it can be placed in the context of real vector spaces, but to recognize its discrete character and its torsion group, each vector space is replaced by a discrete subset of that space, where each molecule can be recognized as a distinct and indivisible entity. Next, the process of calculating a torsion group is shown in several cases, including the example in part I. In this particular case it is shown to have the torsion group with 2 elements, reflecting the fact that the substrate molecules become product molecules 2 at a time, with the result that the overall macroscopic reaction is R ⇔ T, whereas at the molecular level it is 2R ⇔ 2T. In general, however, the torsion group of a biochemical reaction network can be any finite additive group, which is a property of the network that can only be seen at the molecular level. Finally, this fact is demonstrated by showing how to construct a hypothetical, but plausible, biochemical reaction network that has any given finite additive group as its torsion group.     

Nucleotide-Selective Templated Self-Assembly of Nanoreactors under Dissipative Conditions

Nature adopts complex chemical networks to finely tune biochemical processes. Indeed, small biomolecules play a key role in regulating the flux of metabolic pathways. Chemistry, which was traditionally focused on reactions in simple mixtures, is dedicating increasing attention to the network reactivity of highly complex synthetic systems, able to display new kinetic phenomena. Herein, we show that the addition of monophosphate nucleosides to a mixture of amphiphiles and reagents leads to the selective templated formation of self-assembled structures, which can accelerate a reaction between two hydrophobic reactants. The correct matching between nucleotide and the amphiphile head group is fundamental for the selective formation of the assemblies and for the consequent up-regulation of the chemical reaction. Transient stability of the nanoreactors is obtained under dissipative conditions, driven by enzymatic dephosphorylation of the templating nucleotides. These results show that small molecules can play a key role in modulating network reactivity, by selectively templating self-assembled structures that are able to up-regulate chemical reaction pathways.     

Supramolecular Coordination Cages for Asymmetric Catalysis

Inspired by the high efficiency and specificity of enzymes in living systems, the development of artificial catalysts intrinsic to the key features of enzyme has emerged as an active field. Recent advances in supramolecular chemistry have shown that supramolecular coordination cages, built from non-covalent coordination bonds, offer a diverse platform for enzyme mimics. Their inherent confined cavity, analogous to the binding pocket of an enzyme, and the facile tunability of building blocks are essential for substrate recognition, transition-state stabilization, and product release. In particular, the combination of chirality with supramolecular coordination cages will undoubtedly create an asymmetric microenvironment for promoting enantioselective transformation, thus providing not only a way to make synthetically useful asymmetric catalysts, but also a model to gain a better understanding for the fundamental principles of enzymatic catalysis in a chiral environment. The focus here is on recent progress of supramolecular coordination cages for asymmetric catalysis, and based on how supramolecular coordination cages function as reaction vessels, three approaches have been demonstrated. The aim of this review is to offer researchers general guidance and insight into the rational design of sophisticated cage containers for asymmetric catalysis.     

Modular Design of Small Enzymatic Reaction Networks Based on Reversible and Cleavable Inhibitors

Systems chemistry aims to mimic the functional behavior of living systems by constructing chemical reaction networks with well‐defined dynamic properties. Enzymes can play a key role in such networks, but there is currently no general and scalable route to the design and construction of enzymatic reaction networks. Here, we introduce reversible, cleavable peptide inhibitors that can link proteolytic enzymatic activity into simple network motifs. As a proof‐of‐principle, we show auto‐activation topologies producing sigmoidal responses in enzymatic activity, explore cross‐talk in minimal systems, design a simple enzymatic cascade, and introduce non‐inhibiting phosphorylated peptides that can be activated using a phosphatase.     

A synthetic reaction network: chemical amplification using nonequilibrium autocatalytic reactions coupled in time

This article reports a functional chemical reaction network synthesized in a microfluidic device. This chemical network performs chemical 5000-fold amplification and shows a threshold response. It operates in a feedforward manner in two stages: the output of the first stage becomes the input of the second stage. Each stage of amplification is performed by a reaction autocatalytic in Co(2+). The microfluidic network is used to maintain the two chemical reactions away from equilibrium and control the interactions between them in time. Time control is achieved as described previously (Angew. Chem., Int. Ed. 2003, 42, 768) by compartmentalizing the reaction mixture inside plugs which are aqueous droplets carried through a microchannel by an immiscible fluorinated fluid. Autocatalytic reaction displayed sensitivity to mixing; more rapid mixing corresponded to slower reaction rates. Synthetic chemical reaction networks may help understand the function of biochemical reaction networks, the goal of systems biology. They may also find practical applications. For example, the system described here may be used to detect visually, in a simple format, picoliter volumes of nanomolar concentrations of Co(2+), an environmental pollutant.     

Controlled initiation of enzymatic reactions in micrometer-sized biomimetic compartments

We present a technique to initiate chemical reactions involving few reactants inside micrometer-scale biomimetic vesicles (10(-12) to 10(-15) L) integral to three-dimensional surfactant networks. The shape of these networks is under dynamic control, allowing for transfer and mixing of two or several reactants at will. Specifically, two nanotube-connected vesicles were filled with reactants (substrate and enzyme, respectively) by microinjection. Initially, the vesicles are far apart and any diffusive mixing (on relevant experimental time scales) between the contents of the separated vesicles is hindered because of the narrow diameter and long axial extension of the nanotube. To initiate a reaction, the vesicles were brought close together, the nanotube was consumed by the vesicles and at a critical distance, the nanotube-vesicle junctions were dilated leading to formation of one spherical reactor, and hence mixing of the contents. We demonstrate the concept using a model enzymatic reaction, which yields a fluorescent product (two-step hydrolysis of fluorescein diphosphate by alkaline phosphatase), where product formation was measured as a function of time using a FRAP fluorescence microscopy protocol. By comparing the enzymatic activity with bulk measurements, the enzyme concentration inside the vesicle could be determined. Reactions could be followed for systems having as few as approximately 15 enzyme molecules confined to a reactor vesicle. To describe the experiments we use a simple diffusion-controlled reaction model and solve it using a survival probability approach. The agreement with experiment is qualitative, but the model describes the trends well. It is shown that the model correctly predicts (i) single-exponential decay after a few seconds, and (ii) that the substrate decay constant depends on the number of enzymes and geometry of reaction container. The numerical correction factor Lambda is introduced in order to ensure semiquantitative agreement between experiment and theory. It was shown that this numerical factor depends weakly on vesicle radius and number of enzymes, thus it is sufficient to determine this factor only once in a single calibration measurement.     

Biofuel cell controlled by enzyme logic network — Approaching physiologically regulated devices

A “smart” biofuel cell switchable ON and OFF upon application of several chemical signals processed by an enzyme logic network was designed. The biocomputing system performing logic operations on the input signals was composed of four enzymes: alcohol dehydrogenase (ADH), amyloglucosidase (AGS), invertase (INV) and glucose dehydrogenase (GDH). These enzymes were activated by different combinations of chemical input signals: NADH, acetaldehyde, maltose and sucrose. The sequence of biochemical reactions catalyzed by the enzymes models a logic network composed of concatenated AND/OR gates. Upon application of specific “successful” patterns of the chemical input signals, the cascade of biochemical reactions resulted in the formation of gluconic acid, thus producing acidic pH in the solution. This resulted in the activation of a pH-sensitive redox-polymer-modified cathode in the biofuel cell, thus, switching ON the entire cell and dramatically increasing its power output. Application of another chemical signal (urea in the presence of urease) resulted in the return to the initial neutral pH value, when the O₂-reducing cathode and the entire cell are in the mute state. The reversible activation–inactivation of the biofuel cell was controlled by the enzymatic reactions logically processing a number of chemical input signals applied in different combinations. The studied biofuel cell exemplifies a new kind of bioelectronic device where the bioelectronic function is controlled by a biocomputing system. Such devices will provide a new dimension in bioelectronics and biocomputing benefiting from the integration of both concepts.     

Kinase Sensing Based on Protein Interactions at the Catalytic Site

The role kinases play in regulating cellular processes makes them potential biomarkers for detecting the onset and prognosis of various diseases, including many types of cancer. Current kinase biosensors, including electrochemical and radiometric methods, rely on sensing the ATP-dependant enzymatic phosphorylation reaction. Here we introduce a new type of interaction-based electrochemical kinase biosensor that does not require any chemical labelling or modification. The basis for sensing is the interactions between the catalytic site of the kinase and the phosphorylation site of its substrate rather than the phosphorylation reaction. We demonstrated this concept with the ERK2 kinase and its substrate protein HDGF, which is involved in lung cancer. A peptide monolayer derived from the HDGF phosphorylation site was adsorbed onto a gold electrode and was used to sense ERK2 without ATP. The sensitivity of the assay was down to 10 nM of ERK2, corresponding with the range of its cellular concentrations. Surface chemistry analysis confirmed that ERK2 was bound to the HDGF peptide monolayer. This increased the permeability of redox-active species through the monolayer and resulted in ERK2 electrochemical sensing. Since our detection approach is based on protein-protein interactions and not on the enzymatic reaction, it can be further utilized for more selective detection of different types of enzymes.     

A theoretical analysis of rate constants and kinetic isotope effects corresponding to different reactant valleys in lactate dehydrogenase

In some enzymatic systems large conformational changes are coupled to the chemical step, in such a way that dispersion of rate constants can be observed in single-molecule experiments, each corresponding to the reaction from a different reactant valley. Under this perspective here we present a computational study of pyruvate to lactate transformation catalyzed by lactate dehydrogenase. The reaction consists of a hydride transfer and a proton transfer that seem to take place concertedly. The degree of asynchronicity and the energy barrier depend on the particular starting reactant valley. In order to estimate rate constants we used a free energy perturbation technique adapted to follow the intrinsic reaction coordinate for several possible reaction paths. Tunneling effects are also obtained with a slightly modified version of the ensemble-averaged variational transition state theory with multidimensional tunneling contributions. According to our results the closure of the active site by means of a flexible loop can lead to the formation of different reactant complexes displaying different features in the disposition of some key residues (such as Arg109), interactions with the substrate and number of water molecules in the active site. The chemical step of the reaction takes place with a different reaction rate from each of these complexes. Finally, primary kinetic isotope effects for replacement of the transferring hydrogen of the cofactor with a deuteride are in good agreement with experimental observations, thus validating our methodology.     

Biomolecular Release from Alginate‐modified Electrode Triggered by Chemical Inputs Processed through a Biocatalytic Cascade – Integration of Biomolecular Computing and Actuation

Biocatalytic cascades involving more than one or two enzyme‐catalyzed step are inefficient inside alginate hydrogel prepared on an electrode surface. The problem originates from slow diffusion of intermediate products through the hydrogel from one enzyme to another. However, enzyme activity can be improved by surface immobilization. We demonstrate that a complex cascade of four consecutive biocatalytic reactions can be designed, with the enzymes immobilized in an LBL‐assembled polymeric layer at the alginate‐modified electrode surface. The product, hydrogen peroxide, then induces dissolution of iron‐cross‐linked alginate, which results in release process of entrapped biomolecular species, here fluorescently marked oligonucleotides, denoted F‐DNA. The enzymatic cascade can be viewed as a biocomputing network of concatenated AND gates, activated by combinations of four chemical input signals, which trigger the release of F‐DNA. The reactions, and diffusion/release processes were investigated by means of theoretical modeling. A bottleneck reaction step associated with one of the enzymes was observed. The developed system provides a model for biochemical actuation triggered by a biocomputing network of reactions.     

Microfluidic tectonics platform: A colorimetric, disposable botulinum toxin enzyme-linked immunosorbent assay system

A fabrication platform for realizing integrated microfluidic devices is discussed. The platform allows for creating specific microsystems for multistep assays in an ad hoc manner as the components that perform the assay steps can be created at any location inside the device via in situ fabrication. The platform was utilized to create a prototype microsystem for detecting botulinum neurotoxin directly from whole blood. Process steps such as sample preparation by filtration, mixing and incubation with reagents was carried out on the device. Various microfluidic components such as channel network, valves and porous filter were fabricated from prepolymer mixture consisting of monomer, cross-linker and a photoinitiator. For detection of the toxoid, biotinylated antibodies were immobilized on streptavidin-functionalized agarose gel beads. The gel beads were introduced into the device and were used as readouts. Enzymatic reaction between alkaline phosphatase (on secondary antibody) and substrate produced an insoluble, colored precipitate that coated the beads thus making the readout visible to the naked eye. Clinically relevant amounts of the toxin can be detected from whole blood using the portable enzyme-linked immunosorbent assay (ELISA) system. Multiple layers can be realized for effective space utilization and creating a three-dimensional (3-D) chaotic mixer. In addition, external materials such as membranes can be incorporated into the device as components. Individual components that were necessary to perform these steps were characterized, and their mutual compatibility is also discussed.     

PHOTON COUNTING SPECTRAL ANALYZING SYSTEM OF EXTRA-WEAK CHEMI- AND BIOLUMINESCENCE FOR BIOCHEMICAL APPLICATIONS

Abstract— The systematic study of the method for measuring the spectral distribution of extra-weak light signals, such as from biochemical systems and living tissues involving chemi- and bio-energized processes, led to the design and construction of a new type of spectrometer, called the filter spectral analyzer system, incorporated with the high-sensitivity photon counting technique. Experimental tests to examine the operational characteristics of this filter spectral analyzer system and comparisons of the signal-to-noise ratio with a conventional grating spectrometer were made by accomplishing the spectral analysis of low-level light sources. The measurement of the spectra of very weak chemilumines-cence accompanying various kinds of chemical and biological processes, including autoxidation and enzymatic reaction were performed successfully.     

Macromolecular Coating Enables Tunable Selectivity in a Porous PDMS Matrix

Whether for laboratory use or clinical practice, many fields in Life Sciences require selective filtering. However, most existing filter systems lack the ability to easily tune their filtration behavior. Two key elements for efficient filtering are a high surface‐to‐volume ratio and the presence of suitable chemical groups which establish selectivity. In this study, an artificial PDMS‐based capillary system with highly tunable selectivity properties is presented. The high surface‐to‐volume ratio of this filter system is generated by first embedding sugar fibers into a synthetic polymer matrix and then dissolving these fibers from the cured polymer. To functionalize this filter, the inner surface of the capillaries is coated with purified or synthetic macromolecules. Depending on the type of macromolecule used for filter functionalization, selective sieving is observed based on steric hindrance, electrostatic binding, electrostatic repulsion, or specific binding interactions. Furthermore, it is demonstrated that enzymes can be immobilized in the capillary system which allows for performing multiple cycles of enzymatic reactions with the same batch of enzymes and without the need to separate the enzymes from their reaction products. In addition to lab‐scale filtration and enzyme immobilization applications demonstrated here, the functionalized porous PDMS matrix may also be used to test binding interactions between different molecules.     

Effects of pH in rapid-equilibrium enzyme kinetics

The effects of pH on the rates of enzyme-catalyzed reactions are very important because they yield information on the pKs of acidic groups in the enzymatic site and the various enzyme-substrate complexes. But many enzyme-catalyzed reactions produce or consume hydrogen ions in a way that cannot be explained with pKs. These pH effects extend over the whole pH range of interest. In investigating these effects, the rapid-equilibrium assumption is especially useful because a large number of chemical reactions have to be taken into account. In these calculations, all of the reactions up to the rate-determining reaction are treated with biochemical thermodynamics. Kinetic studies make it possible to determine the number of hydrogen ions consumed in the rate-determining reaction, a number that can be in the range of 0-8. It is shown that the experimental limiting velocity of the forward reaction V(fexp) is equal to 10(npH)V(f), where n is a negative integer and Vf varies with pH in the way determined by the pKs of the enzyme-substrate complex that reacts in the rate-determining reaction. A computer program for the initial reaction velocity makes it possible to investigate the rapid-equilibrium kinetics of enzymatic mechanisms that involve the consumption of hydrogen ions.     

Timing controllable electrofusion device for aqueous droplet-based microreactors

This paper describes an electrofusion device for controlling the precise moment of fusion between droplets by applying an electric field. This device allows (i) accurate determination of the start of chemical/biological reactions, (ii) minimum contact of reactants with channel walls--eliminating surface absorption problems, (iii) easy fabrication and (iv) continuous observation of initiated reaction. We demonstrated the fusion of beta-galactosidase and fluorescein di-beta-D-galactopyranoside (FDG) droplets, and observed the enzymatic reaction using fluorescence microscopy. In addition, sequential fusion of pico-litre droplets was also accomplished.     

Studies on the substrate specificity of Escherichia coli galactokinase

In vitro glycorandomization (IVG) technology is dependent upon the ability to rapidly synthesize sugar phosphates. Compared with chemical synthesis, enzymatic (kinase) routes to sugar phosphates would be attractive for this application. This work focuses upon the development of a high-throughput colorimetric galactokinase (GalK) assay and its application toward probing the substrate specificity and kinetic parameters of Escherichia coli GalK. The demonstrated dinitrosalicylic assay should also be generally applicable to a variety of sugar-processing enzymes. [reaction: see text]