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Environmental sequence data of microbial communities now makes up the majority of public genomic information. The assignment of a function to sequences from these metagenomic sources is challenging because organisms associated with the data are often uncharacterized and not cultivable. To overcome these challenges, we created a rationally designed expression library of metagenomic proteins covering the sequence space of the thioredoxin superfamily. This library of 100 individual proteins represents more than 22,000 thioredoxins found in the Global Ocean Sampling data set. We screened this library for the functional rescue of Escherichia coli mutants lacking the thioredoxin-type reductase (ΔtrxA), isomerase (ΔdsbC), or oxidase (ΔdsbA). We were able to assign functions to more than a quarter of our representative proteins. The in vivo function of a given representative could not be predicted by phylogenetic relation but did correlate with the predicted isoelectric surface potential of the protein. Selected proteins were then purified, and we determined their activity using a standard insulin reduction assay and measured their redox potential. An unexpected gel shift of protein E5 during the redox potential determination revealed a redox cycle distinct from that of typical thioredoxin-superfamily oxidoreductases. Instead of the intramolecular disulfide bond formation typical for thioredoxins, this protein forms an intermolecular disulfide between the attacking cysteines of two separate subunits during its catalytic cycle. Our functional metagenomic approach proved not only useful to assign in vivo functions to representatives of thousands of proteins but also uncovered a novel reaction mechanism in a seemingly well-known protein superfamily., Competing Interests: Conflict of interest The authors declare that they have no conflicts of interest with the contents of this article., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Arrays of oligonucleotides synthesized in the 5'-->3' direction have potential benefit in several areas of life sciences research because the free 3'-end can be modified by enzymatic reactions. A Geniom One instrument (febit biomed GmbH, Germany), with integrated chip fabrication, multiplex primer extension, fluorescence imaging, and data analysis, was evaluated for studies of genomic variations. Microchannels used for the array synthesis in Geniom One were not optimized before for the APEX method and, as preliminary experiments demonstrated in this study, the signals were strongly affected by the speed of the process inside reaction channels. Using the two-compartment model (TCM), target binding to feature were quantitatively analyzed, revealing profound mass-transport limitations in the observed kinetics and enabling us to draw a series of physicochemical conclusions of the optimal set-up for the APEX reaction. Some kinetically relevant parameters such as target concentration, reaction time, and temperature were comprehensively analyzed. Finally, we applied the arrays and methods in a proof-of-principle experiment where 36 individuals were typed with 900 oligonucleotide probes (sense and antisense primers for 450 markers), using the ABCR gene as a test system. A new DNA analysis method for studies of genomic variation was developed using this all-in-one platform.

Antibody microarrays have often had limited success in detection of low abundant proteins in complex specimens. Signal amplification systems improve this situation, but still are quite laborious and expensive. However, the issue of sensitivity is more likely a matter of kinetically appropriate microarray design as demonstrated previously. Hence, we re-examined in this study the suitability of simple and inexpensive detection approaches for highly sensitive antibody microarray analysis. N-hydroxysuccinimidyl ester (NHS)- and Universal Linkage System (ULS)-based fluorescein and biotin labels used as tags for subsequent detection with anti-fluorescein and extravidin, respectively, as well as fluorescent dyes were applied for analysis of blood plasma. Parameters modifying strongly the performance of microarray detection such as labeling conditions, incubation time, concentrations of anti-fluorescein and extravidin and extent of protein labeling were analyzed and optimized in this study. Indirect detection strategies whether based on NHS- or ULS-chemistries strongly outperformed direct fluorescent labeling and enabled detection of low abundant cytokines with many dozen-fold signal-to-noise ratios. Finally, particularly sensitive detection chemistry was applied to monitoring cytokine production of stimulated peripheral T cells. Microarray data were in accord with quantitative cytokine levels measured by ELISA and Luminex, demonstrating comparable reliability and femtomolar range sensitivity of the established microarray approach.

In this report we examine the limitations of existing microarray immunoassays and investigate how best to optimize them using theoretical and experimental approaches. Derived from DNA technology, microarray immunoassays present a major technological challenge with much greater physicochemical complexity. A key physicochemical limitation of the current generation of microarray immunoassays is a strong dependence of antibody microspot kinetics on the mass flux to the spot as was reported by us previously. In this report we analyze, theoretically and experimentally, the effects of microarray design parameters (incubation vessel geometry, incubation time, stirring, spot size, antibody-binding site density, etc.) on microspot reaction kinetics and sensitivity. Using a two-compartment model, the quantitative descriptors of the microspot reaction were determined for different incubation and microarray design conditions. This analysis revealed profound mass transport limitations in the observed kinetics, which may be slowed down as much as hundreds of times compared with the solution kinetics. The data obtained were considered with relevance to microspot assay diffusional and adsorptive processes, enabling us to validate some of the underlying principles of the antibody microspot reaction mechanism and provide guidelines for optimal microspot immunoassay design. For an assay optimized to maximize the reaction velocity on a spot, we demonstrate sensitivities in the am and low fm ranges for a system containing a representative sample of antigen-antibody pairs. In addition, a separate panel of low abundance cytokines in blood plasma was detected with remarkably high signal-to-noise ratios.

It is well documented that diffusion has generally a strong effect on the binding kinetics in the microtiter plate immunoassays. However, a systematic quantitative experimental evaluation of the microspot kinetics is still missing in the literature. Our work aims at filling this important gap of knowledge on the example of antigen binding to antibody microspots. A mathematical model was derived within the framework of two-compartment model and applied to the quantitative analysis of the experimental data obtained for typical antibody microspot assays. A strong mass-transport dependence of the antigen-antibody microspot kinetics was identified to be one of the main restrictions of this new technology. The binding reactions are slowed down in the microspot immunoassays by several orders of magnitude as compared with the corresponding well-stirred bulk reactions. The task to relax the mass-transport limitations should thus be one of the most important issues in designing the antibody microarrays. These limitations notwithstanding, the detection range of more than five orders of magnitude and the high sensitivity in the low femtomolar range were experimentally achieved in our study, demonstrating thus an enormous potential of this highly capable technology.

Although they are superficially similar to DNA microarrays, immunoassay microarrays represent a daunting technological challenge owing to the much wider diversity of proteins. Yet, as the leading edge of bioscience migrates from genomics to proteomics, the complexity and enormous dynamic range of proteins in a cell necessitate an analytic tool with exceptional specificity and sensitivity. In theory, microspot immunoassays could fulfill this need. However, antibody microarrays have had limited success to date, and have often required a highly sensitive detection system and/or sophisticated immobilization approach to be of any use for the profiling of complex specimens. There is a solid body of work on the theory of microspot reaction kinetics, yet much of the published experimental work on protein microarray development pays insufficient attention to the kinetic aspects of this interaction. This review explains that one of the main limitations for the sensitivity of current generation microspot immunoassays is the strong dependence of antibody microspot kinetics upon mass flux to the spot. This not only involves migration of analyte in solution, but also across the surface of the solid phase. Understanding of this effect will be discussed, along with several related effects and their significance to improving existing microarray designs. It is concluded that current efforts may be too focused on areas that cannot improve performance significantly, and that other critical areas of design should receive more attention. Finally, the review addresses the question of whether ambient analyte immunoassay is truly a separate category of microspot assay, with the conclusion that this may be a flawed concept.

In a solid-phase immunoassay, binding between an antigen and its specific antibody takes place at the boundary of a liquid and a solid phase. One of the reactants (receptor) is immobilized on a surface. The other reactant (ligand) is initially free in solution. We present a theory describing the kinetics of immunochemical reaction in such a system. A single essential restriction of the theory is the assumption that the reaction conditions are uniform along the binding surface. In general, the reaction rate as a function of time can be obtained numerically as a solution of a nonlinear integral equation. For some special cases, analytical solutions are available. Various immunoassay geometries are considered, in particular, the case when the reaction is carried out on a microspot.

Stimulated by the achievements of the first phase in genomics and the resulting need of assigning functions to the acquired sequence information, novel formats of immunoassays are being developed for high-throughput multi-analyte studies. In principle, they are similar in nature to the microarray assays already established at the level of nucleic acids. However, the biochemical diversity and the sheer number of proteins are such that an equivalent analysis is much more complex and thus difficult to accomplish. The wide range of protein concentration complicates matters further. Performing microarray immunoassays already represents a challenge at the level of preparing a working chip surface. Arrays have been produced on filter supports, in microtiter plate wells and on glass slides, the last two usually coated with one-, two- or three-dimensionally structured surface modifications. The usefulness and suitability of all these support media for the construction and application of antibody microarrays are reviewed in this manuscript in terms of the different kinds of immunoassay and the various detection procedures. Additionally, the employment of microarrays containing alternative sensor molecules is discussed in this context. The sensitivity of microspot immunoassays predicted by the current analyte theory is not yet a reality, indicating the extent of both the technology's potential and the size of the task still ahead., (Copyright 2003 John Wiley & Sons, Ltd.)

Antibody microarrays could have an enormous impact on the functional analysis of cellular activity and regulation, especially at the level of protein expression and protein-protein interaction, and might become an invaluable tool in disease diagnostics. The array surface is bound to have a tremendous influence on the findings from such studies. Apart from the basic issue of how to attach antibodies optimally without affecting their function, it is also important that the cognate antigens, applied within a complex protein mixture, all bind to the arrayed antibodies irrespective of their enormous variety in structure. In this study, various factors in the production of antibody microarrays on glass support were analysed: the modification of the glass surface; kind and length of cross-linkers; composition and pH of the spotting buffer; blocking reagents; antibody concentration and storage procedures, in order to evaluate their effect on array performance. Altogether, data from more than 700 individual array experiments were taken into account. In addition to home-made slides, commercially available systems were also included in the analysis.

While the deciphering of basic sequence information on a genomic scale is yielding complete genomic sequences in ever-shorter intervals, experimental procedures for elucidating the cellular effects and consequences of the DNA-encoded information become critical for further analyses. In recent years, DNA microarray technology has emerged as a prime candidate for the performance of many such functional assays. Technically, array technology has come a long way since its conception some 15 years ago, initially designed as a means for large-scale mapping and sequencing.The basic arrangement, however, could be adapted readily to serve eventually as an analytical tool in a large variety of applications. On their own or in combination with other methods, microarrays open up many new avenues of functional analysis.

Antibody microarrays have enormous potential for becoming a tool that will allow, at the protein level, the type of global characterization of molecular mixtures that DNA microarrays already make possible at the RNA and DNA level. However, the much higher complexity of proteins both in terms of their sheer number and their structural and biochemical diversity necessitates an even more sophisticated analysis process. Its eventual realization will be demanding to achieve and requires further developments on many technical aspects, not in the least because the understanding of proteins is still comparatively less comprehensive than that of nucleic acids prior to the emergence of array technologies.