Rapid, automated screening method for enzymatic transformations using a robotic system and supercritical fluid chromatography

An automated screening method was developed for enzymatic transformations using a robotic system and rapid chiral supercritical fluid chromatography (SFC) analysis with a run time of 1.5 min. The method accelerates the enzyme selection process for screening biocatalysts, where a large number of enzymes are evaluated for activity and enantioselectivity. Kinetic resolution of secondary alcohols by enzymatic transesterification was used as a prototype for method development. The rapid automated method can be used effectively for screening enzymes and optimizing reaction conditions in biocatalysis.     

The preparation of cervical scrape material for automated cytology using gallocyanin chrome-alum stain.

A method is described for preparing cervical scrape specimens for automated analysis on the Cerviscan prescreening system. In order to reduce the cellular clumping found in cervical scrape material, cells are collected in suspension, syringed to disaggregate the cell clumps, and then pipetted onto a glass to give a monolayer of cells. The cells are then stained with gallocyanin chrome-alum to give the required quantitation of nucleic acid content, using a rapid staining procedure. Experimental results are given which show that specimens prepared by this method are more suitable for automated analysis than the conventional Papanicolaou stained preparation.     

Encephalitozoon cuniculi: quantitation of parasites and evaluation of viability

Two methods (manual and automated) for quantitation of viable versus dead Encephalitozoon cuniculi are reported. The manual method uses ethidium bromide and acridine orange to stain dead and viable organisms, respectively. The stained organisms are visually differentiated with the aid of a fluorescence microscope. The automated method uses propidium iodide to stain dead parasites, which are differentiated from viable unstained parasites with the aid of a flow cytometer. An automated cell counter (Coulter Counter) was used to count rapidly large numbers of samples and to improve the sensitivity of counting low concentrations of parasites. These methods will enhance investigators' abilities to conduct quantitative experiments on host defense mechanisms against E. cuniculi.     

Automated quantification of budding Saccharomyces cerevisiae using a novel image cytometry method

The measurements of concentration, viability, and budding percentages of Saccharomyces cerevisiae are performed on a routine basis in the brewing and biofuel industries. Generation of these parameters is of great importance in a manufacturing setting, where they can aid in the estimation of product quality, quantity, and fermentation time of the manufacturing process. Specifically, budding percentages can be used to estimate the reproduction rate of yeast populations, which directly correlates with metabolism of polysaccharides and bioethanol production, and can be monitored to maximize production of bioethanol during fermentation. The traditional method involves manual counting using a hemacytometer, but this is time-consuming and prone to human error. In this study, we developed a novel automated method for the quantification of yeast budding percentages using Cellometer image cytometry. The automated method utilizes a dual-fluorescent nucleic acid dye to specifically stain live cells for imaging analysis of unique morphological characteristics of budding yeast. In addition, cell cycle analysis is performed as an alternative method for budding analysis. We were able to show comparable yeast budding percentages between manual and automated counting, as well as cell cycle analysis. The automated image cytometry method is used to analyze and characterize corn mash samples directly from fermenters during standard fermentation. Since concentration, viability, and budding percentages can be obtained simultaneously, the automated method can be integrated into the fermentation quality assurance protocol, which may improve the quality and efficiency of beer and bioethanol production processes.     

New Automated Single-Cell Technique for Segmentation and Quantitation of Lipid Droplets

Lipid droplets are the major organelle for intracellular storage of triglycerides and cholesterol esters. Various methods have been attempted for automated quantitation of fluorescently stained lipid droplets using either thresholding or watershed methods. We find that thresholding methods deal poorly with clusters of lipid droplets, whereas watershed methods require a smoothing step that must be optimized to remove image noise. We describe here a novel three-stage hybrid method for automated segmentation and quantitation of lipid droplets. In this method, objects are initially identified by thresholding. They are then tested for circularity to distinguish single lipid droplets from clusters. Clusters are subjected to a secondary watershed segmentation. We provide a characterization of this method in simulated images. Additionally, we apply this method to images of fixed cells containing stained lipid droplets and GFP-tagged proteins to provide a proof-of-principle that this method can be used for colocalization studies. The circularity measure can additionally prove useful for the identification of inappropriate segmentation in an automated way; for example, of non-cellular material. We will make the programs and source code available to the community under the Gnu Public License. We believe this technique will be of interest to cell biologists for light microscopic studies of lipid droplet biology.     

Method to express and purify nm23-H2 protein from baculovirus-infected cells

High-throughput protein expression and purification are major bottlenecks in the postgenomic and proteomic era. We show here an automated method to express and purify nm23-H2, a nucleoside diphosphate kinase (NDPK), in a 96-well format, by the use of a robotic workstation, from insect Spodoptera frugiperda (Sf9) baculovirus-infected cells using nickel-nitrilotriacetic acid (Ni-NTA) agarose beads. The automated method is coupled to mass spectrometry for a validation and quality-control analysis. To verify the bona fide of the recombinant protein, several tests have been produced, including NDPK assay, Western blotting, and in vitro phosphorylation experiments, thus confirming the value of the protocol developed. The method has been validated for the expression of several proteins, thus confirming the value of this automated protocol. The research presented here is a useful method both for industrial and academic environments to produce in a high-throughput mode recombinant eukaryotic proteins to be assayed for a specific function in a systematic manner.     

Template-based recognition of protein fold within the midnight and twilight zones of protein sequence similarity

Most homologous pairs of proteins have no significant sequence similarity to each other and are not identified by direct sequence comparison or profile-based strategies. However, multiple sequence alignments of low similarity homologues typically reveal a limited number of positions that are well conserved despite diversity of function. It may be inferred that conservation at most of these positions is the result of the importance of the contribution of these amino acids to the folding and stability of the protein. As such, these amino acids and their relative positions may define a structural signature. We demonstrate that extraction of this fold template provides the basis for the sequence database to be searched for patterns consistent with the fold, enabling identification of homologs that are not recognized by global sequence analysis. The fold template method was developed to address the need for a tool that could comprehensively search the midnight and twilight zones of protein sequence similarity without reliance on global statistical significance. Manual implementations of the fold template method were performed on three folds--immunoglobulin, c-lectin and TIM barrel. Following proof of concept of the template method, an automated version of the approach was developed. This automated fold template method was used to develop fold templates for 10 of the more populated folds in the SCOP database. The fold template method developed three-dimensional structural motifs or signatures that were able to return a diverse collection of proteins, while maintaining a low false positive rate. Although the results of the manual fold template method were more comprehensive than the automated fold template method, the diversity of the results from the automated fold template method surpassed those of current methods that rely on statistical significance to infer evolutionary relationships among divergent proteins.     

Comparison of a manual and an automated method to estimate the number of uterine eggs in anisakid nematodes: to Coulter or not to Coulter. Is that the question?

Studies reporting numbers of eggs in vagina and utero in nematodes often give little information of the technique used for the estimations. This situation hampers comparison among studies, because, so far, differences in estimations provided by different techniques have not been assessed. This note examines whether a manual method based on visual counts in aliquots and an automated method using a Coulter counter yield equivalent estimations of egg numbers in vagina and utero of 3 anisakid nematode species (Anisakis simplex, Pseudoterranova decipiens, and Contracaecum osculatum). The number of eggs from 50 females per nematode species was estimated using both techniques. The automated and manual methods yielded similar egg counts (correlation coefficients >0.9 in the 3 species), but the methods were not always statistically equivalent. The automated method was more precise and seemed less dependent on egg density, whereas the manual method was less time-consuming (contrary to previous perceptions) and less expensive. Despite the higher precision of automated counts, the manual technique seemed to produce similar estimates; thus, it may be particularly useful in developing countries where nematode parasitism is prevalent in humans and domestic animals, but scientific resources are limited.     

Encephalitozoon cuniculi: Quantitation of Parasites and Evaluation of Viability1

Two methods (manual and automated) for quantitation of viable versus dead Encephalitozoon cuniculi are reported. The manual method uses ethidium bromide and acridine orange to stain dead and viable organisms, respectively. The stained organisms are visually differentiated with the aid of a fluorescence microscope. The automated method uses propidium iodide to stain dead parasites, which are differentiated from viable unstained parasites with the aid of a flow cytometer. An automated cell counter (Coulter Counter) was used to count rapidly large numbers of samples and to improve the sensitivity of counting low concentrations of parasites. These methods will enhance investigators' abilities to conduct quantitative experiments on host defense mechanisms against E. cuniculi.     

Determination of amphetamine and methamphetamine enantiomers by chiral derivatization and gas chromatography–mass spectrometry as a test case for an automated sample preparation system

An automated sample preparation system has been applied to the chiral analysis of amphetamine and methamphetamine using derivatization with trifluoracetyl-L -prolyl chloride (L -TPC) and subsequent separation on a gas chromatography–mass spectrometry (GC-MS) system. Tasks automated were the dilution of standards and the off-line preparation of the diastereoisomer derivatives. Chromatographic performance, sensitivity, and reproducibility of the automated procedure were compared to the equivalent values obtained with two existing assays methods which employ manual derivatiation, either on-column or off-line. Chromatographic performance was unaffected by the derivatization procedure and sensitivity was better for both automated and manual off-line derivatization. Qualitative reproducibility as based on enantiomeric composition was equivalent for all three approaches, while quantitative reproducibility as based on peak areas was best for the automated procedure. Considering the fact that the diastereoisomer derivatives are unstable over time, automated sample preparation with “just-in-time” derivatization can increase the overall precision of the analytical method. The procedures described here are general enough in nature that they could be applied to other chiral or even achiral analytes. © 1994 Wiley-Liss, Inc.     

Automated rapid method for microbioassay of amino acids

An automated rapid method for microbioassay of amino acids was investigated by taking advantages of the rapid manual method. The Pye Unicam automatic analytical apparatus was adopted for the automation of assay culture in the rapid microbioassay. The advantages of the present method are that amino acids can be automatically determined on 3.5-hr assay culture, and that an aseptic technique can be omitted. These advantages were confirmed in several amino acid assays. The assay values were the same as those obtained by the conventional method. Application of the automated rapid method to the serine assay showed a linear standard curve without a lag section, leading to more expanded assay range and smaller drift in values.     

Pharmacological studies of Cav3.1 T-type calcium channels using automated patch-clamp techniques

T-type calcium channels are involved in a variety of physiological and pathophysiological processes, and thus could be therapeutic targets. However, there is no T-type channel selective blocker for use in clinical practice, demanding a need for the development of novel drugs where a higher-throughput screening system is required. Here we present pharmacological studies on Ca(v)3.1 T-type channels using automated patch-clamp. The IC(50) values obtained from automated patch-clamp and conventional one showed a good correlation (correlation coefficient of 0.82), suggesting that the automated patch-clamp is an efficient and reliable method for ranking the drug potencies for T-type channels.     

Fast quantification of immunohistochemistry tissue microarrays in lung carcinoma

Tissue microarrays (TMAs) are an effective tool for high-throughput molecular analysis of tissues to help identify new diagnostic and prognostic markers and targets in human cancers. We have developed a fully automated method for rapid, continuous and quantitative analysis of TMAs based on immunohistochemistry. The method deals with complex and varying tissue architectures, segments tumour cells from normal cells, conducts cell compartmentalisation, identifies nuclei and cytoplasm and produces three different continuous measurements of marker expression levels within tumour cell nuclei, tumour cell cytoplasm and total tumour cell protein expression. We have demonstrated this method using three independent protein markers (BAK, BAX and a novel biomarker, named KS) over 7 TMAs, involving 2 BAK stained TMAs with 229 tumour tissue cores, 2 BAX stained TMAs with 229 tumour tissue cores and 3 KS stained TMAs with 373 tumour cores of lung carcinomas. We validated the automated method, showing that the automated scoring is significantly correlated with the pathologist-based scoring.     

Automated neurite labeling and analysis in fluorescence microscopy images.

BACKGROUND: To investigate the intricate nervous processes involved in many biological activities by computerized image analysis, accurate and reproducible labeling and measurement of neurites are prerequisite. We have developed an automated neurite analysis method to assist this task. METHODS: Our approach can be considered as automated with certain user interaction in setting initial parameters. Single and connected centerlines along neurites are extracted. The computerized method can also generate branching and end points. Owing to its multi-scale flexibility, both thick and thin neurites are simultaneously detected. RESULTS: We employ the relative neurite length difference (defined as the difference between the lengths obtained by automated and manual analysis divided by the total length of the latter) and neurite centerline deviation (defined as the area of the regions enclosed by different paths between automated and manual analysis divided by the total length of the former) to evaluate the performance of our algorithm, which is of great interest in neurite analysis. The average of the relative length difference is about 0.02, while the average of the centerline deviation is about 2.8 pixels. The probabilities of the distributions being the same from the Kolmogorov-Smirnov (KS) test of the automatic and manual results are 99.79%. The KS test also shows no significant bias between different observers based on the proposed new validation scheme. CONCLUSIONS: With the accurate and automated extraction of neurite centerlines and measurement of neurite lengths, the proposed method, which greatly reduces human labor and improves efficiency, can serve as a candidate tool for large-scale neurite analysis beyond the capability of manual tracing methods.     

Statistical assignment of DNA sequences using Bayesian phylogenetics

We provide a new automated statistical method for DNA barcoding based on a Bayesian phylogenetic analysis. The method is based on automated database sequence retrieval, alignment, and phylogenetic analysis using a custom-built program for Bayesian phylogenetic analysis. We show on real data that the method outperforms Blast searches as a measure of confidence and can help eliminate 80% of all false assignment based on best Blast hit. However, the most important advance of the method is that it provides statistically meaningful measures of confidence. We apply the method to a re-analysis of previously published ancient DNA data and show that, with high statistical confidence, most of the published sequences are in fact of Neanderthal origin. However, there are several cases of chimeric sequences that are comprised of a combination of both Neanderthal and modern human DNA.     

A novel method for preparing single-stranded DNA for pyrosequencing

Pyrosequencing technology is a powerful genotyping tool that requires the generation of single stranded DNA. Currently, two simple, solid-phase-based methods are available for this, but they require special equipment, they are not automated, and they are relatively expensive because of the need for biotinylated polymerase chain reaction primers. In this article, an enzymatic liquid-phase method for the generation of high-quality, single-stranded DNA, and its novel use for Pyrosequencing are described. The method has also been fully automated.     

Automated solid-phase extraction and liquid chromatographic method for retinoid determination in biological samples

In this study, a method for partly automated sample preparation and fully automated solid-phase extraction method for plasma, kidney and liver samples for various retinoids like all-trans-4-oxo-retinoic acid, 13-cis-4-oxo-retinoic acid, 13-cis-retinoic acid, 9-cis-retinoic acid, all-trans-retinoic acid, retinol and retinyl palmitate was established. Plasma, embryo-, kidney-and liver-homogenates were automatically mixed and extracted on multiple usage solid-phase (C2) extraction cartridges immediately before HPLC analysis. Automated cleaning, preconditioning and incorporation of the loaded cartridge to fully automated HPLC separation and quantification of the various retinoids in a single HPLC run was established. The recovery of the retinoids was generally between 80 and 90%. Intra-day repeatability was < 11.7%. As little as 1.2 ng/ml could be quantified in lipid-mixture standard samples. This method allows a highly automated sample preparation and a fully automated solid-phase extraction with good selectivity for the study of endogenous retinoids and retinoids after nutritional supplementations and pharmacological applications in several biological samples.     

Automated structure determination from NMR spectra

Automated methods for protein structure determination by NMR have increasingly gained acceptance and are now widely used for the automated assignment of distance restraints and the calculation of three-dimensional structures. This review gives an overview of the techniques for automated protein structure analysis by NMR, including both NOE-based approaches and methods relying on other experimental data such as residual dipolar couplings and chemical shifts, and presents the FLYA algorithm for the fully automated NMR structure determination of proteins that is suitable to substitute all manual spectra analysis and thus overcomes a major efficiency limitation of the NMR method for protein structure determination.     

3 dimensional cell cultures: a comparison between manually and automatically produced alginate beads

Cancer diseases are a common problem of the population caused by age and increased harmful environmental influences. Herein, new therapeutic strategies and compound screenings are necessary. The regular 2D cultivation has to be replaced by three dimensional cell culturing (3D) for better simulation of in vivo conditions. The 3D cultivation with alginate matrix is an appropriate method for encapsulate cells to form cancer constructs. The automated manufacturing of alginate beads might be an ultimate method for large-scaled manufacturing constructs similar to cancer tissue. The aim of this study was the integration of full automated systems for the production, cultivation and screening of 3D cell cultures. We compared the automated methods with the regular manual processes. Furthermore, we investigated the influence of antibiotics on these 3D cell culture systems. The alginate beads were formed by automated and manual procedures. The automated steps were processes by the Biomek^® Cell Workstation (celisca, Rostock, Germany). The proliferation and toxicity were manually and automatically evaluated at day 14 and 35 of cultivation. The results visualized an accumulation and expansion of cell aggregates over the period of incubation. However, the proliferation and toxicity were faintly and partly significantly decreased on day 35 compared to day 14. The comparison of the manual and automated methods displayed similar results. We conclude that the manual production process could be replaced by the automation. Using automation, 3D cell cultures can be produced in industrial scale and improve the drug development and screening to treat serious illnesses like cancer.