Survey of the year 2006 commercial optical biosensor literature

We identified 1219 articles published in 2006 that described work performed using commercial optical biosensor platforms. It is interesting to witness how the biosensor market is maturing with an increased number of instrument manufacturers offering a wider variety of platforms. However, it is clear from a review of the results presented that the advances in technology are outpacing the skill level of the average biosensor user. While we can track a gradual improvement in the quality of the published work, we clearly have a long way to go before we capitalize on the full potential of biosensor technology. To illustrate what is right with the biosensor literature, we highlight the work of 10 groups who have their eye on the ball. To help out the rest of us who have the lights on but nobody home, we use the literature to address common myths about biosensor technology.     

Novel device for quick measurement of glucose in POCT areas without pre‐analytical steps based on a multi‐way glucose biosensor

Professional Point of Care testing demands rapid analysis and professional quality. To assure rapid analysis of high quality the analytical tool ideally should be able to work without sample pre‐treatment and should offer the opportunity to calibrate and/or control the analytical performance of the tool. In contrast to an enormous number of different disposable‐strips used for patient self monitoring today and based on an extended knowledge with respect to multi‐way biosensors used in laboratory analyzers we decided to develop a professional Point of Care Testing system for glucose analysis based on a multi‐way biosensor. The multi‐way glucose biosensor placed in the instrument for 30 days did reduce the lag time between blood withdrawal and availability of a result of lab quality in a bedside area to about 10 seconds. No pre‐analytical steps are necessary for measuring capillary whole blood, no crossing over was observed, and the data could be transferred into a laboratory information system or a hospital information system. Thus, we were able to realize tools for professional health control able to measure glucose values in laboratory quality at places outside laboratories: e.g., in doctor's offices, hospital wards, critical care units, and training units of athletes. By combining the advantages of laboratory analyzers (high quality and low sample price) and the advantages of disposable strips (simple procedure and immediate results after sample withdrawal) with the Glukometer 3000 and LactatProfi 3000 we did start to fill the gap between the two basic technologies available on the market for diagnosis today. Glukometer 3000 and LactatProfi 3000 are worldwide the first and only mobile glucose and lactate measuring instruments for decentralized locations based on multi‐way biosensors.     

Formalizing the definition of meta‐analysis in Molecular Ecology

Meta‐analysis, the statistical synthesis of pertinent literature to develop evidence‐based conclusions, is relatively new to the field of molecular ecology, with the first meta‐analysis published in the journal Molecular Ecology in 2003 (Slate & Phua 2003). The goal of this article is to formalize the definition of meta‐analysis for the authors, editors, reviewers and readers of Molecular Ecology by completing a review of the meta‐analyses previously published in this journal. We also provide a brief overview of the many components required for meta‐analysis with a more specific discussion of the issues related to the field of molecular ecology, including the use and statistical considerations of Wright's F_ST and its related analogues as effect sizes in meta‐analysis. We performed a literature review to identify articles published as ‘meta‐analyses’ in Molecular Ecology, which were then evaluated by at least two reviewers. We specifically targeted Molecular Ecology publications because as a flagship journal in this field, meta‐analyses published in Molecular Ecology have the potential to set the standard for meta‐analyses in other journals. We found that while many of these reviewed articles were strong meta‐analyses, others failed to follow standard meta‐analytical techniques. One of these unsatisfactory meta‐analyses was in fact a secondary analysis. Other studies attempted meta‐analyses but lacked the fundamental statistics that are considered necessary for an effective and powerful meta‐analysis. By drawing attention to the inconsistency of studies labelled as meta‐analyses, we emphasize the importance of understanding the components of traditional meta‐analyses to fully embrace the strengths of quantitative data synthesis in the field of molecular ecology.     

Isatin‐binding proteins of rat and mouse brain: Proteomic identification and optical biosensor validation

Isatin (indole‐2,3‐dione) is an endogenous indole that has a distinct and discontinuous distribution in the brain and in other mammalian tissues and body fluids. Its output is increased under conditions of stress and anxiety. Isatin itself and its analogues exhibit a wide range of pharmacological activities but its specific biological targets still are not well characterized. Affinity chromatography of Triton X‐100 lysates of soluble and particulate fractions of mouse and rat whole brain homogenates on 5‐aminocaproyl‐isatin‐Sepharose followed by subsequent proteomic analysis resulted in identification of 65 and 64 individual proteins, respectively. Isatin‐binding capacity of some of the identified proteins has been validated in an optical biosensor study using a Biacore 3000 optical biosensor, 5‐aminocarproyl‐isatin, and 5‐aminoisatin as the affinity ligands. The K_d values (of 0.1–20 μM) obtained during the optical biosensor experiments were consistent with the range of K_d values recently reported for [³H]isatin binding to brain sections. Although the number of isatin‐binding proteins identified in the mouse and rat brain was similar, only 21 proteins (about one‐third) were identical in the two species. This may be one reason for the differences in isatin effects in rats and mice reported in the literature.     

Antibody–aptamer functionalized fibre‐optic biosensor for specific detection of Listeria monocytogenes from food

Aim: To develop antibody–aptamer functionalized fibre‐optic biosensor for specific detection of Listeria monocytogenes from food products. Methods and Results: Aptamer, a single‐stranded oligonucleotide ligand that displays affinity for the target molecule, was used in the assay to provide sensor specificity. Aptamer‐A8, specific for internalin A, an invasin protein of L. monocytogenes, was used in the fibre‐optic sensor together with antibody in a sandwich format for detection of L. monocytogenes from food. Biotinylated polyclonal anti‐Listeria antibody, P66, was immobilized on streptavidin‐coated optical waveguide surface for capturing bacteria, and Alexa Fluor 647‐conjugated A8 was used as a reporter. The biosensor was able to selectively detect pathogenic Listeria in pure culture and in mixture with other bacteria at a concentration of approx. 10³ CFU ml^?1. This sensor also successfully detected L. monocytogenes cells from artificially contaminated (initial inoculation of 10² CFU 25 g^?1) ready‐to‐eat meat products such as sliced beef, chicken and turkey after 18 h of enrichment. Conclusion: Based on the data presented in this study, the antibody–aptamer functionalized fibre‐optic biosensor could be used as a detection tool for sensitive and specific detection of L. monocytogenes from foods. Significance and Impact of the Study: The study demonstrates feasibility and novel application of aptamer on fibre‐optic biosensor platform for the sensitive detection of L. monocytogenes from food products.     

Detecting and avoiding likely false‐positive findings – a practical guide

Recently there has been a growing concern that many published research findings do not hold up in attempts to replicate them. We argue that this problem may originate from a culture of ‘you can publish if you found a significant effect’. This culture creates a systematic bias against the null hypothesis which renders meta‐analyses questionable and may even lead to a situation where hypotheses become difficult to falsify. In order to pinpoint the sources of error and possible solutions, we review current scientific practices with regard to their effect on the probability of drawing a false‐positive conclusion. We explain why the proportion of published false‐positive findings is expected to increase with (i) decreasing sample size, (ii) increasing pursuit of novelty, (iii) various forms of multiple testing and researcher flexibility, and (iv) incorrect P‐values, especially due to unaccounted pseudoreplication, i.e. the non‐independence of data points (clustered data). We provide examples showing how statistical pitfalls and psychological traps lead to conclusions that are biased and unreliable, and we show how these mistakes can be avoided. Ultimately, we hope to contribute to a culture of ‘you can publish if your study is rigorous’. To this end, we highlight promising strategies towards making science more objective. Specifically, we enthusiastically encourage scientists to preregister their studies (including a priori hypotheses and complete analysis plans), to blind observers to treatment groups during data collection and analysis, and unconditionally to report all results. Also, we advocate reallocating some efforts away from seeking novelty and discovery and towards replicating important research findings of one's own and of others for the benefit of the scientific community as a whole. We believe these efforts will be aided by a shift in evaluation criteria away from the current system which values metrics of ‘impact’ almost exclusively and towards a system which explicitly values indices of scientific rigour.     

Survey of the year 2005 commercial optical biosensor literature

We identified 1113 articles (103 reviews, 1010 primary research articles) published in 2005 that describe experiments performed using commercially available optical biosensors. While this number of publications is impressive, we find that the quality of the biosensor work in these articles is often pretty poor. It is a little disappointing that there appears to be only a small set of researchers who know how to properly perform, analyze, and present biosensor data. To help focus the field, we spotlight work published by 10 research groups that exemplify the quality of data one should expect to see from a biosensor experiment. Also, in an effort to raise awareness of the common problems in the biosensor field, we provide side-by-side examples of good and bad data sets from the 2005 literature.     

Survey of the 1999 surface plasmon resonance biosensor literature

The application of surface plasmon resonance biosensors in life sciences and pharmaceutical research continues to increase. This review provides a comprehensive list of the commercial 1999 SPR biosensor literature and highlights emerging applications that are of general interest to users of the technology. Given the variability in the quality of published biosensor data, we present some general guidelines to help increase confidence in the results reported from biosensor analyses.     

Plasmonic Biosensor Controlled by DNAzyme for On‐Site Genetic Detection of Pathogens

On‐site predetection of pathogens could significantly decrease of a disease outbreak or national loss in most of the countries. However, conventional detection techniques are limited in use for on‐site detection due to the necessity of specialized skill or equipment. Therefore, it is necessary to develop a new technique that can predetect pathogens in the field without special skills or equipment. Here, a DNAzyme strategy to control a plasmonic biosensor for rapid and simple visual detection of Salmonella choleraesuis is adopted. Multicomponent DNAzyme formed by target addition can cleave the linker effectively at 50 °C. Linker cleavage induces dispersion of two DNA‐immobilized gold nanoparticles and color change. Under optimized assay conditions, the target could be detected via visual discrimination sensitively and specifically. Moreover, the biosensor shows the possibility of practical use with contaminants and a 16S rRNA real target. As a result, the proposed plasmonic biosensor can visually detect S. choleraesuis without unstable enzymes, a specialized technique, or equipment. Therefore, these advantages could allow that this biosensor would be used for on‐site predetection to lower the risk of transmission of infectious diseases.     

The Peptaibiotics Database – A Comprehensive Online Resource

In this work, we present the ‘Peptaibiotics Database’ (PDB), a comprehensive online resource, which intends to cover all Aib‐containing non‐ribosomal fungal peptides currently described in scientific literature. This database shall extend and update the recently published ‘Comprehensive Peptaibiotics Database’ and currently consists of 1,297 peptaibiotic sequences. In a literature survey, a total of 235 peptaibiotic sequences published between January 2013 and June 2014 have been compiled, and added to the list of 1,062 peptides in the recently published ‘Comprehensive Peptaibiotics Database’. The presented database is intended as a public resource freely accessible to the scientific community at peptaibiotics‐database.boku.ac.at. The search options of the previously published repository and the presentation of sequence motif searches have been extended significantly. All of the available search options can be combined to create complex database queries. As a public repository, the presented database enables the easy upload of new peptaibiotic sequences or the correction of existing informations. In addition, an administrative interface for maintenance of the content of the database has been implemented, and the design of the database can be easily extended to store additional information to accommodate future needs of the ‘peptaibiomics community’.     

Random PCR‐based genotyping by sequencing technology GRAS‐Di (genotyping by random amplicon sequencing,direct) reveals genetic structure of mangrove fishes

While various technologies for high‐throughput genotyping have been developed for ecological studies, simple methods tolerant to low‐quality DNA samples are still limited. In this study, we tested the availability of a random PCR‐based genotyping‐by‐sequencing technology, genotyping by random amplicon sequencing, direct (GRAS‐Di). We focused on population genetic analysis of estuarine mangrove fishes, including two resident species, the Amboina cardinalfish (Fibramia amboinensis, Bleeker, 1853) and the Duncker's river garfish (Zenarchopterus dunckeri, Mohr, 1926), and a marine migrant, the blacktail snapper (Lutjanus fulvus, Forster, 1801). Collections were from the Ryukyu Islands, southern Japan. PCR amplicons derived from ~130 individuals were pooled and sequenced in a single lane on a HiSeq2500 platform, and an average of three million reads was obtained per individual. Consensus contigs were assembled for each species and used for genotyping of single nucleotide polymorphisms by mapping trimmed reads onto the contigs. After quality filtering steps, 4,000–9,000 putative single nucleotide polymorphisms were detected for each species. Although DNA fragmentation can diminish genotyping performance when analysed on next‐generation sequencing technology, the effect was small. Genetic differentiation and a clear pattern of isolation‐by‐distance was observed in F. amboinensis and Z. dunckeri by means of principal component analysis, F_ST and the admixture analysis. By contrast, L. fulvus comprised a genetically homogeneous population with directional recent gene flow. These genetic differentiation patterns reflect patterns of estuary use through life history. These results showed the power of GRAS‐Di for fine‐grained genetic analysis using field samples, including mangrove fishes.     

Accelerating patient access to novel biologics using stable pool‐derived product for non‐clinical studies and single clone‐derived product for clinical studies

Cell cloning and subsequent process development activities are on the critical path directly impacting the timeline for advancement of next generation therapies to patients with unmet medical needs. The use of stable cell pools for early stage material generation and process development activities is an enabling technology to reduce timelines. To successfully use stable pools during development, it is important that bioprocess performance and requisite product quality attributes be comparable to those observed from clonally derived cell lines. To better understand the relationship between pool and clone derived cell lines, we compared data across recent first in human (FIH) programs at Amgen including both mAb and Fc‐fusion modalities. We compared expression and phenotypic stability, bioprocess performance, and product quality attributes between material derived from stable pools and clonally derived cells. Overall, our results indicated the feasibility of matching bioprocess performance and product quality attributes between stable pools and subsequently derived clones. These findings support the use of stable pools to accelerate the advancement of novel biologics to the clinic. © 2017 The Authors Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers Biotechnol. Prog., 33:1476–1482, 2017     

Saitohin Q7R polymorphism is associated with late‐onset Alzheimer's disease susceptibility among caucasian populations: a meta‐analysis

Saitohin (STH) Q7R polymorphism has been reported to influence the individual's susceptibility to Alzheimer's disease (AD); however, conclusions remain controversial. Therefore, we performed this meta‐analysis to explore the association between STH Q7R polymorphism and AD risk. Systematic literature searches were performed in the PubMed, Embase, Cochrane Library and Web of Science for studies published before 31 August 2016. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the strength of the association using a fixed‐ or random‐effects model. Subgroup analyses, Galbraith plot and sensitivity analyses were also performed. All statistical analyses were performed with STATA Version 12.0. A total of 19 case–control studies from 17 publications with 4387 cases and 3972 controls were included in our meta‐analysis. The results showed that the Q7R polymorphism was significantly associated with an increased risk of AD in a recessive model (RR versus QQ+QR, OR = 1.27, 95% CI = 1.01–1.60, P = 0.040). After excluding the four studies not carried out in caucasians, the overall association was unchanged in all comparison models. Further subgroup analyses stratified by the time of AD onset, and the quality of included studies provided statistical evidence of significant increased risk of AD in RR versus QQ+QR model only in late‐onset subjects (OR = 1.56, 95% CI = 1.07–2.26, P = 0.021) and in studies with high quality (OR = 1.37, 95% CI = 1.01–1.86, P = 0.043). This meta‐analysis suggests that the RR genotype in saitohin Q7R polymorphism may be a human‐specific risk factor for AD, especially among late‐onset AD subjects and caucasian populations.     

Morphometric analysis and taxonomic revision of Anisopteromalus Ruschka (Hymenoptera: Chalcidoidea: Pteromalidae) – an integrative approach

We use an integrative taxonomic approach to revise the genus Anisopteromalus. In particular, we apply multivariate ratio analysis (MRA), a rather new statistical method based on principal component analysis (PCA) and linear discriminant analysis (LDA), to numerous body measurements and combine the data with those from our molecular analysis of Cytb and ITS2 genetic markers (on a subset of species) and all available published data on morphology, karyology, behaviour, host associations and geographic distribution. We demonstrate that the analysis of quantitative characters using MRA plays a major role for the integration of name‐bearing types and thus for the association of taxa with names. Six species are recognized, of which two are new: A. cornis Baur sp.n. and A. quinarius Gokhman & Baur sp.n. For Anisopteromalus calandrae (Howard), a well‐known, cosmopolitan parasitoid of stored‐product pests, we have selected a neotype to foster continuity and stability in the application of this important name. The species was sometimes confused with the related A. quinarius sp.n. , another cosmopolitan species that is frequently encountered in similar environments. We also show that several species originally described or later put under Anisopteromalus actually belong to different genera: Cyrtoptyx camerunus (Risbec) comb.n. ; Meraporus glaber (Szelényi) comb.n. ; Dinarmus schwenkei (Roomi, Khan & Khan) comb.n. Neocatolaccus indicus Ayyar & Mani is confirmed as a junior synonym of Oxysychus sphenopterae (Ferrière) syn.n. and Anisopteromalus calandrae brasiliensis (Domenichini) stat.rev. must be considered as a valid but doubtful taxon. This published work has been registered in ZooBank, http://zoobank.org/urn:lsid:zoobank.org:pub:BDFE96D3‐D0F4‐4012‐90F5‐9A087F7F5864 .     

Development of a formaldehyde biosensor with application to synthetic methylotrophy

Formaldehyde is a prevalent environmental toxin and a key intermediate in single carbon metabolism. The ability to monitor formaldehyde concentration is, therefore, of interest for both environmental monitoring and for metabolic engineering of native and synthetic methylotrophs, but current methods suffer from low sensitivity, complex workflows, or require expensive analytical equipment. Here we develop a formaldehyde biosensor based on the FrmR repressor protein and cognate promoter of Escherichia coli. Optimization of the native repressor binding site and regulatory architecture enabled detection at levels as low as 1 µM. We then used the sensor to benchmark the in vivo activity of several NAD‐dependent methanol dehydrogenase (Mdh) variants, the rate‐limiting enzyme that catalyzes the first step of methanol assimilation. In order to use this biosensor to distinguish individuals in a mixed population of Mdh variants, we developed a strategy to prevent cross‐talk by using glutathione as a formaldehyde sink to minimize intercellular formaldehyde diffusion. Finally, we applied this biosensor to balance expression of mdh and the formaldehyde assimilation enzymes hps and phi in an engineered E. coli strain to minimize formaldehyde build‐up while also reducing the burden of heterologous expression. This biosensor offers a quick and simple method for sensitively detecting formaldehyde, and has the potential to be used as the basis for directed evolution of Mdh and dynamic formaldehyde control strategies for establishing synthetic methylotrophy.     

Predominant contribution of cis‐regulatory divergence in the evolution of mouse alternative splicing

Divergence of alternative splicing represents one of the major driving forces to shape phenotypic diversity during evolution. However, the extent to which these divergences could be explained by the evolving cis‐regulatory versus trans‐acting factors remains unresolved. To globally investigate the relative contributions of the two factors for the first time in mammals, we measured splicing difference between C57BL/6J and SPRET/EiJ mouse strains and allele‐specific splicing pattern in their F1 hybrid. Out of 11,818 alternative splicing events expressed in the cultured fibroblast cells, we identified 796 with significant difference between the parental strains. After integrating allele‐specific data from F1 hybrid, we demonstrated that these events could be predominately attributed to cis‐regulatory variants, including those residing at and beyond canonical splicing sites. Contrary to previous observations in Drosophila, such predominant contribution was consistently observed across different types of alternative splicing. Further analysis of liver tissues from the same mouse strains and reanalysis of published datasets on other strains showed similar trends, implying in general the predominant contribution of cis‐regulatory changes in the evolution of mouse alternative splicing.     

Whole‐cell Escherichia coli lactate biosensor for monitoring mammalian cell cultures during biopharmaceutical production

Many high‐value added recombinant proteins, such as therapeutic glycoproteins, are produced using mammalian cell cultures. In order to optimize the productivity of these cultures it is important to monitor cellular metabolism, for example the utilization of nutrients and the accumulation of metabolic waste products. One metabolic waste product of interest is lactic acid (lactate), overaccumulation of which can decrease cellular growth and protein production. Current methods for the detection of lactate are limited in terms of cost, sensitivity, and robustness. Therefore, we developed a whole‐cell Escherichia coli lactate biosensor based on the lldPRD operon and successfully used it to monitor lactate concentration in mammalian cell cultures. Using real samples and analytical validation we demonstrate that our biosensor can be used for absolute quantification of metabolites in complex samples with high accuracy, sensitivity, and robustness. Importantly, our whole‐cell biosensor was able to detect lactate at concentrations more than two orders of magnitude lower than the industry standard method, making it useful for monitoring lactate concentrations in early phase culture. Given the importance of lactate in a variety of both industrial and clinical contexts we anticipate that our whole‐cell biosensor can be used to address a range of interesting biological questions. It also serves as a blueprint for how to capitalize on the wealth of genetic operons for metabolite sensing available in nature for the development of other whole‐cell biosensors. Biotechnol. Bioeng. 2017;114: 1290–1300. © 2017 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals, Inc.     

Biotinylation of the Fcγ receptor ectodomains by mammalian cell co‐transfection: application to the development of a surface plasmon resonance‐based assay

We here report the production of four biotinylated Fcγ receptor (FcγR) ectodomains and their subsequent stable capture on streptavidin‐biosensor surfaces. For receptor biotinylation, we first describe an in‐cell protocol based on the co‐transfection of two plasmids corresponding to one of the FcγR ectodomains and the BirA enzyme in mammalian cells. This strategy is compared with a standard sequential in vitro enzymatic biotinylation with respect to biotinylation level and yield. Biotinylated FcγR ectodomains that have been prepared with both strategies are then compared by analytical ultracentrifugation and surface plasmon resonance (SPR) analyses. Overall, we demonstrate that in‐cell biotinylation is an interesting alternative to standard biotinylation protocol, as it requires less purification steps while yielding higher titers. Finally, biotin‐tagged FcγRs produced with the in‐cell approach are successfully applied to the development of SPR‐based assays to evaluate the impact of the glycosylation pattern of monoclonal antibodies on their interaction with CD16a and CD64. In that endeavor, we unambiguously observe that highly galactosylated trastuzumab (TZM‐gal), non‐glycosylated trastuzumab (TZM‐NG), and reference trastuzumab are characterized by different kinetic profiles upon binding to CD16a and CD64 that had been captured at the biosensor surface via their biotin tag. More precisely, while TZM‐NG binding to CD16a was not detected, TZM‐gal formed a more stable complex with CD16a than our reference TZM. In contrast, both glycosylated TZM bound to captured CD64 in a stable and similar fashion, whereas the interaction of their non‐glycosylated form with CD64 was characterized by a higher dissociation rate. Copyright © 2015 John Wiley & Sons, Ltd.     

Economic evaluation of weight loss interventions in overweight and obese women

Objective: To conduct a clinical and economic evaluation of outpatient weight loss strategies in overweight and obese adult U.S. women. Research Methods and Procedures: This study was a lifetime cost‐use analysis from a societal perspective, using a first‐order Monte Carlo simulation. Strategies included routine primary care and varying combinations of diet, exercise, behavior modification, and/or pharmacotherapy. Primary data were collected to assess program costs and obesity‐related quality of life. Other data were obtained from clinical trials, population‐based surveys, and other published literature. This was a simulated cohort of healthy 35‐year‐old overweight and obese women in the United States. Results: For overweight and obese women, a three‐component intervention of diet, exercise, and behavior modification cost $12,600 per quality‐adjusted life year gained compared with routine care. All other strategies were either less effective and more costly or less effective and less cost‐effective compared with the next best alternative. Results were most influenced by obesity‐related effects on quality of life and the probabilities of weight loss maintenance. Discussion: A multidisciplinary weight loss program consisting of diet, exercise, and behavior modification provides good value for money, but more research is required to confirm the impacts of such programs on quality of life and the likelihood of long‐term weight loss maintenance.