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Laboratory automation of high-pressure liquid chromatography.

An automated system for high-pressure liquid chromatography was developed. The system is built around commercial modules wherever possible, modified to varying degrees. An automatic sampler, a sample pump, a high-pressure sampling valve, a recorder with an integrator, and a high-pressure liquid chromatograph comprise the commercial instruments. Relays, solenoid valves, and timers control chromatographic events, i.e., duration of sampling and rinse, mobile phase pump refill, sample injection, and chromatographic time. The automated system is dependable over long periods of unattended operation. With the 40-sample capacity of the sample tray and the last sample stop capability, the automated system produces, for example, 40 20-min chromatograms in approximately 13 hr of unattended operation. Data demonstrate the reliability and utility of the system.

Automation↗

Automated analysis of behavior: a computer-controlled system for drug screening and the investigation of learning.

Efforts to understand cognition will be greatly facilitated by computerized systems that enable the automated analysis of animal behavior. A number of controversies in the invertebrate learning field have resulted from difficulties inherent in manual experiments. Driven by the necessity to overcome these problems during investigation of neural function in planarian flatworms and frog larvae, we designed and developed a prototype for an inexpensive, flexible system that enables automated control and analysis of behavior and learning. Applicable to a variety of small animals such as flatworms and zebrafish, this system allows automated analysis of innate behavior, as well as of learning and memory in a plethora of conditioning paradigms. We present here the schematics of a basic prototype, which overcomes experimenter effects and operator tedium, enabling a large number of animals to be analyzed with transparent on-line access to primary data. A scaled-up version of this technology represents an efficient methodology to screen pharmacological and genetic libraries for novel neuroactive reagents of basic and biomedical relevance.

Animals↗

Automated carboxy-terminal sequence analysis of peptides.

Proteins and peptides can be sequenced from the carboxy-terminus with isothiocyanate reagents to produce amino acid thiohydantoin derivatives. Previous studies in our laboratory have focused on solution phase conditions for formation of the peptidylthiohydantoins with trimethylsilylisothiocyanate (TMS-ITC) and for hydrolysis of these peptidylthiohydantoins into an amino acid thiohydantoin derivative and a new shortened peptide capable of continued degradation (Bailey, J. M. & Shively, J. E., 1990, Biochemistry 29, 3145-3156). The current study is a continuation of this work and describes the construction of an instrument for automated C-terminal sequencing, the application of the thiocyanate chemistry to peptides covalently coupled to a novel polyethylene solid support (Shenoy, N. R., Bailey, J. M., & Shively, J. E., 1992, Protein Sci. I, 58-67), the use of sodium trimethylsilanolate as a novel reagent for the specific cleavage of the derivatized C-terminal amino acid, and the development of methodology to sequence through the difficult amino acid, aspartate. Automated programs are described for the C-terminal sequencing of peptides covalently attached to carboxylic acid-modified polyethylene. The chemistry involves activation with acetic anhydride, derivatization with TMS-ITC, and cleavage of the derivatized C-terminal amino acid with sodium trimethylsilanolate. The thiohydantoin amino acid is identified by on-line high performance liquid chromatography using a Phenomenex Ultracarb 5 ODS(30) column and a triethylamine/phosphoric acid buffer system containing pentanesulfonic acid. The generality of our automated C-terminal sequencing methodology was examined by sequencing model peptides containing all 20 of the common amino acids. All of the amino acids were found to sequence in high yield (90% or greater) except for asparagine and aspartate, which could be only partially removed, and proline, which was found not be capable of derivatization. In spite of these current limitations, the methodology should be a valuable new tool for the C-terminal sequence analysis of peptides.

Amino Acid Sequence↗

Automated analysis of mitochondrial enzymes in cultured skin fibroblasts.

We report automated methods for assaying the activities of the mitochondrial respiratory chain enzyme cytochrome c oxidase (COX), the matrix enzyme citrate synthase (CS), and the cytoplasmic enzyme lactate dehydrogenase (LDH) on a random access analyzer, the Roche Mira S. COX activity was assayed by measuring the initial rate of oxidation of reduced cytochrome c. The CS assay was based on the reaction of this enzyme with oxaloacetate and acetyl-CoA to produce CoASH, which further reacts with dithionitrobenzoic acid producing a free thionitrobenzoate ion. LDH activity was assayed by measuring the reduction of nicotinamide adenine dinucleotide during the oxidation of lactate to pyruvate. Precision of the COX assay was 2. 3%, CS assay 0.7%, and LDH 5.6%. These automated methods were faster by as much as 80%, cheaper by 50%, and used less than half the sample material needed for traditional manual methods. While these assays are often performed by specialized laboratories using dedicated staff, the automated methods presented here are easily performed by staff trained in the regular diagnostic laboratory.

Automation↗

A robotics-based automated assay for inorganic and organic phosphates.

Phosphate analyses are fundamental to a broad range of biochemical applications involving inorganic phosphate and organic phosphoesters such as phospholipids, phosphorylated proteins, and nucleic acids. A practical automated method utilizing robotics is described in this report. Five colorimetric methods of phosphate analyses based on formation of a phosphomolybdate complex and compatible with the automated assay were tested, and the fundamental chemistry is discussed. The relative sensitivities are malachite green > crystal violet > quinaldine red > ascorbate reduction > antimony-modified ascorbate reduction, although only a fourfold improvement was observed in going from the modified ascorbate procedure to malachite green. Malachite green was selected to optimize the assay because this dye provided the highest sensitivity. However, where color stability and low blanks are more important than sensitivity, the ascorbate reduction and quinaldine red methods were found to be better choices than malachite green. Automation using a robotic liquid-handling system substantially reduces the labor required to process large arrays of samples. The result is a sensitive, nonradioactive assay of inorganic phosphate with high throughput. A digestion step in an acid-resistant 96-well plate was developed to extend the assay to phosphate esters. The robotic-based assay was demonstrated with inorganic phosphate and a common phospholipid, phosphatidylcholine.

Automation↗

Automation of genetic linkage analysis using fluorescent microsatellite markers.

Automation of the typing of genetic markers offers advantages of speed, accuracy, and cost in the mapping of genetic traits and the construction of high-resolution linkage maps. We have developed an automated linkage analysis system by (i) using a robotic pipettor to set up polymerase chain reactions (PCR) to amplify microsatellites with incorporation of a single fluorescent label; (ii) using an automated sequencing apparatus for detection of the PCR products; (iii) sizing alleles automatically by the use of internal and external standards; (iv) iteratively filtering out nonallelic fragments and checking for Mendelian consistency; (v) calculating the probabilities of selected genotypes; and (vi) automatically formatting the results for input to linkage analysis programs. The method provides accurate sizing of alleles, minimizes the risk of error during manual reading and transcription of data, and increases the throughput of reliable data. It brings any inconsistencies or ambiguities in the data to the attention of the user and facilitates examination of the raw data. The ALF/ALP system, together with new, optimized microsatellite sets, particularly tetranucleotide repeats, is likely to be well-suited to fully automatic genetic linkage analysis.

Alleles↗

Inter-operator variability in perfusion assessment of tumors in MRI using automated AIF detection.

A method is presented for the calculation of perfusion parameters in dynamic contrast enhanced MRI. This method requires identification of enhancement curves for both tumor tissue and plasma. Inter-operator variability in the derived rate constant between plasma and extra-cellular extra-vascular space is assessed in both canine and human subjects using semi-automated tumor margin identification with both manual and automated arterial input function (AIF) identification. Experimental results show a median coefficient of variability (CV) for parameter measurement with manual AIF identification of 21.5% in canines and 11% in humans, with a median CV for parameter measurement with automated AIF identification of 6.7% in canines and 6% in humans.

Animals↗

Postmortem evaluation of four randomly selected automated biopsy devices for transthoracic lung biopsy.

PURPOSE: To evaluate four automated devices to achieve transthoracic lung biopsy. METHODS: Transthoracic lung biopsy specimens were obtained randomly from 21 human cadavers with unsuspicious lungs using Biopty (18- and 20-gauge), BIP (18 and 20-gauge), ASAP (18 gauge), and Autovac (18- and 20-gauge) devices. A total of 63 biopsies were carried out with each device and each needle diameter. The same devices and needles were then used randomly for biopsy of peripheral lung metastases. Specimens obtained during both parts of the study were analyzed for the area of tissue on the histologic section, adequacy of tissue for diagnosis, tissue preservation, and crush artifact. The examining pathologist was kept unaware of which procedure was used to obtain the specimens and the cadavers' clinical history. RESULTS: The Biopty 18-gauge device performed statistically better than any other of the evaluated systems for biopsy of normal lung parenchyma (p < 0.05). For biopsy of lung metastases, the differences between the devices and needle diameters were less, although the Biopty 18-gauge device performed better than the Autovac 18-gauge, BIP 18-gauge, and all 20-gauge devices for the area of tissue on the histologic section (p < 0.05). The results of the full-cut Autovac biopsy system were remarkable because of the large number of biopsies during which no tissue was obtained. CONCLUSION: Automated biopsy devices can obtain high quality lung specimens sufficient for definite histopathologic diagnosis. However, additional clinical studies on the use of automated biopsy devices for lung biopsy are mandatory.

Automation↗

Towards fully automated genotyping: use of an X linked recessive spastic paraplegia family to test alternative analysis methods.

Advances in dinucleotide-based genetic maps open possibilities for large scale genotyping at high resolution. The current rate-limiting steps in use of these dense maps is data interpretation (allele definition), data entry, and statistical calculations. We have recently reported automated allele identification methods. Here we show that a 10-cM framework map of the human X chromosome can be analyzed on two lanes of an automated sequencer per individual (10-12 loci per lane). We use this map and analysis strategy to generate allele data for an X-linked recessive spastic paraplegia family with a known PLP mutation. We analyzed 198 genotypes in a single gel and used the data to test three methods of data analysis: manual meiotic breakpoint mapping, automated concordance analysis, and whole chromosome multipoint linkage analysis. All methods pinpointed the correct location of the gene. We propose that multipoint exclusion mapping may permit valid inflation of LOD scores using the equation max LOD-(next best LOD).

Alleles↗

Automated chemical synthesis: from resins to instruments.

Solid-phase organic synthesis is now a prevalent activity in drug discovery. In keeping with this keen interest is the need to develop reliable automated synthesis instrumentation as well as polymeric supports and linkers suitable for the full range of organic synthesis applications. In this paper, we review our activities in the development of new and enabling tools for automated chemical synthesis, including the following: (i) new solid supports such as ArgoGel (PS-PEG-based) and Argo-X203 (PS-based); and (ii) the Nautilus 2400 system, a fully closed and inert automated chemistry development workstation. Selected chemistry optimization and synthesis examples performed on the Nautilus and new solid supports will be described.

Automation↗

Polysomnographic pattern recognition for automated classification of sleep-waking states in infants.

A robust, automated pattern recognition system for polysomnography data targeted to the sleep-waking state and stage identification is presented. Five patterns were searched for: slow-delta and theta wave predominance in the background electro-encephalogram (EEG) activity; presence of sleep spindles in the EEG; presence of rapid eye movements in an electro-oculogram; and presence of muscle tone in an electromyogram. The performance of the automated system was measured indirectly by evaluating sleep staging, based on the experts' accepted methodology, to relate the detected patterns in infants over four months of post-term age. The set of sleep-waking classes included wakefulness, REM sleep and non-REM sleep stages I, II, and III-IV. Several noise and artifact rejection methods were implemented, including filters, fuzzy quality indices, windows of variable sizes and detectors of limb movements and wakefulness. Eleven polysomnographic recordings of healthy infants were studied. The ages of the subjects ranged from 6 to 13 months old. Six recordings counting 2665 epochs were included in the training set. Results on a test set (2,369 epochs from five recordings) show an overall agreement of 87.7% (kappa 0.840) between the automated system and the human expert. These results show significant improvements compared with previous work.

Algorithms↗

Use of home automated intermittent peritoneal dialysis in the treatment of end stage renal failure.

We report our retrospective analysis of 16 uraemic patients who were treated with home automated intermittent peritoneal dialysis (IPD) from 1988 to 1993. Six patients were diabetic. The mean age was 58.5 years. The reasons for home automated IPD were: old age, poor eyesight, low intelligence or poor dexterity, family or patient request and old stroke. It took an average of 8.8 sessions to train the helper. The mean frequency of the home IPD was once every 5.8 days with a mean volume of 48 litres of dialysate used during each dialysis. There were 3 peritonitis episodes making the peritonitis rate once every 93 patient months. Four patients were still on home IPD and two were transplanted. Ten patients died of stroke, myocardial infarction, tuberculosis, chronic obstructive lung disease or suicide. A low plasma albumin is the only significant parameter in the early mortality group. Such high mortality can be accounted for by the fact that patients were older and forty per cent were diabetic. We conclude that home automated IPD can be an alternative for some patients in whom other modes of dialysis are difficult.

Adult↗

Technical innovations for the automated identification of gel-separated proteins by MALDI-TOF mass spectrometry.

The combination of gel-based two-dimensional protein separations with protein identification by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is the workhorse for the large-scale analyses of proteomes. Such high-throughput proteomic approaches require automation of all post-separation steps and the in-gel digest of proteins especially is often the bottleneck in the protein identification workflow. With the objective of reaching the same high performance of manual low-throughput in-gel digest procedures, we have developed a novel stack-type digestion device and implemented it into a commercially available robotic liquid handling system. This modified system is capable of performing in-gel digest, extraction of proteolytic peptides, and subsequent sample preparation for MALDI-MS without any manual intervention, but with a performance at least identical to manual procedures as indicated on the basis of the sequence coverage obtained by peptide mass fingerprinting. For further refinement of the automated protein identification workflow, we have also developed a motor-operated matrix application device to reproducibly obtain homogenous matrix preparation of high quality. This matrix preparation was found to be suitable for the automated acquisition of both peptide mass fingerprint and fragment ion spectra from the same sample spot, a prerequisite for high confidence protein identifications on the basis of peptide mass and sequence information. Due to the implementation of the stack-type digestion device and the motor-operated matrix application device, the entire platform works in a reliable, cost-effective, and sensitive manner, yielding high confidence protein identifications even for samples in the concentration range of as low as 100 fmol protein per gel plug.

Automation↗

Full automation of solid-phase microextraction/on-fiber derivatization for simultaneous determination of endocrine-disrupting chemicals and steroid hormones by gas chromatography-mass spectrometry.

A fully automated method using direct immersion solid-phase microextraction (DI-SPME) and headspace on-fiber silylation for simultaneous determinations of exogenous endocrine-disrupting chemicals (EDCs) and endogenous steroid hormones in environmental aqueous and biological samples by gas chromatography-mass spectrometry (GC-MS) was developed and compared to a previously reported manual method. Three EDCs and five endocrine steroid hormones were selected to evaluate this method. The extraction and derivatization time, ion strength, pH, incubation temperature, sample volume, and extraction solvent were optimized. Satisfactory results in pure water were obtained in terms of linearity of calibration curve (R2=0.9932-1.0000), dynamic range (3 orders of magnitude), precision (4-9% RSD), as well as LOD (0.001-0.124 microg L(-1)) and LOQ (0.004-0.413 microg L(-1)), respectively. These results were similar to those obtained using a manual method, and moreover, the precision was improved. This new automated method has been applied to the determinations of target compounds in real samples used in our previous study on a manual SPME method. Exogenous octylphenol (OP), technical grade nonylphenol (t-NP), and diethylstilbestrol (DES) were at 0.13, 5.03, and 0.02 microg L(-1) in river water and 3.76, 13.25, and 0.10 microg L(-1) in fish serum, respectively. Natural steroid hormones estrone (E1), 17beta-estradiol (E2), and testosterone (T) were at 0.19, 0.11, and 6.22 microg L(-1) in river water; and in female fish serum E1, E2, and pregnenolone (PREG) were at 1.37, 1.95, and 6.25 microg L(-1), respectively. These results were confirmed by the manual method. The developed fully automated SPME and on-fiber silylation procedures showed satisfactory applications in environmental analysis and the performances show improved precision and a reduced analysis time compared to the manual method.

Animals↗

Automation of the GC/MS analysis of mineral oil contaminations in water.

An automation of the sample preparation and analysis of mineral oil contaminations in water was developed. The automated sample preparation was carried out according to ISO/DIS 9377-4 [1]. The standard is applicable to the determination of hydrocarbons in the boiling range of n-decane (n-C10) up to n-tetracontane (n-C40) by GC. Extraction of the sample and clean-up of the extract were performed by an autosampler with a movable head which is capable of carrying different syringes for gas and liquid handling. A GC/MS-system with a programmed temperature vaporizing (PTV) injector including the possibility of large volume injections (LVI) was employed for the analysis. The recovery of analytes was 101.8%, the repeatability 2.9% relative standard deviation (RSD). The linear range covered 0.3 to 40 mg/L oil but may be larger since no higher concentrations were measured. With an FID, being the detector of choice mentioned in the standard, it should be possible to achieve at least four orders of magnitude in the linear range. The limit of determination was found to be 0.3-0.4 mg/L, the limit of detection 0.1-0.2 mg/L [2]. Measurements of spiked deionized, bidistilled water and spiked water from a lake confirmed the accuracy of the analysis. Due to automation and miniaturization of the analysis it is possible to economize time and chemicals without loss of precision and accuracy.

Automation↗

Evaluation of an automated clean-up system for the isotope-dilution high-resolution mass spectrometric analysis of PCB, PCDD, and PCDF in food.

An automated clean-up system was evaluated for the simultaneous analysis of polychiorinated dibenzo-p-dioxins (PCDD), dibenzofurans (PCDF), and biphenyls (PCB) in different foods. In addition to the seventeen 2,3,7,8-substituted PCDDIPCDF and four non-ortho PCB, by use of the clean-up system studied, it was possible to collect the eight mono-ortho and two di-ortho PCB and the seven indicator PCB in two separate fractions during the same clean-up run. The study was first performed using standard mixtures containing PCDD, PCDF and PCB, and a certified reference material. The recoveries of the 13C-labeled compounds ranged from 51 to 90%, indicating that the PCDD, PCDF, and PCB clean-up worked satisfactorily. Next, the automated system for PCDD, PCDF, and PCB analysis was evaluated for foods such as milk, egg, meat (beef, chicken, and pork), mussel, and olive oil. The recoveries of the 13C-labeled compounds ranged from 40 to 120% for PCB and from 57 to 113% for PCDD/ PCDF, meeting the requirements of well accepted methods. Thus, the automated clean-up system studied is a suitable alternative to conventional clean-up methods.

Automation↗

Visual control of automated handwriting movements.

This study provides new insight into the subtle interaction between visual feedback and automated handwriting movements. To separate effects of visual feedback from effects of speed/accuracy trade-off, subjects were trained to perform the tasks with rapid and automated movements. To control the visual feedback the written trace was presented only on a computer screen. In the first experiment the visual feedback of script size was manipulated. Subjects had to write the character combination "ll" onto a pattern of squares. In some trials the script size was unpredictably enlarged by 133% or reduced by 66%. Results showed that the ongoing "l" was not affected by the manipulation, but subjects adapted script size in the following "l" without any change in the kinematic characteristic of the movements. In a second experiment trajectory correction strategies in perturbed writing movements were studied. Two small boxes had to be connected by rapid and single-stroke movements. In some of the trials the position of the target box was changed unpredictably to a new position. Kinematic analysis revealed that the initial movement was not aborted, but rather a second independent movement was added to correct the trajectory to the new target. Thus, this proves that a distortion of visual feedback does not directly slow down open-loop movements to allow control of the motor output in a closed-loop mode. The ballisticity and automation was maintained during movement correction. Our findings fit perfectly well with recent theories of kinematic organization where complex movements are composed by elemental movement strokes.

Adolescent↗

Automated hydrodynamic modelling of a complex between a human IgE fragment (Fc epsilon 3-4) and the IgE high affinity receptor Fc epsilon RI alpha-chain.

The binding of IgE to its high affinity receptor Fc epsilon RI plays an important role in the allergic response. The interaction between soluble Fc epsilon RI alpha-chain (sFc epsilon RI alpha) and Fc epsilon 3-4, a fragment of IgE consisting of the C epsilon 3 and C epsilon 4 heavy chain constant domains, has been studied using analytical ultracentrifugation (Keown et al. this volume). Here we describe the development of a simple automated hydrodynamic modelling technique and its application to this interaction. This procedure utilises sphere models of the two molecules and performs an automated systematic translational search of sFc epsilon RI alpha relative to Fc epsilon 3-4. The result of this is the generation of 40,359 individual models of how the receptor can be placed relative to Fc epsilon 3-4. These are then assessed for consistency by comparing the sedimentation coefficients generated for the models to the experimentally determined sedimentation coefficients, and are displayed graphically to show allowed and disallowed complexes. From this analysis, it is clear that the complex between sFc epsilon RI alpha and Fc epsilon 3-4 is compact, with the most elongated models being excluded. In addition, sFc epsilon RI alpha appears not to interact with the C-terminal end of Fc epsilon 3-4, and probably binds either to the sides or face, observations which are consistent with other experimental data on the Fc epsilon RI alpha/IgE interaction. Automated hydrodynamic modelling also has the potential to be used for other interactions, providing a simple way of looking at a large number of models, and making rigorous studies of interacting components more feasible.

Automation↗