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Automated assays to study longevity in C. elegans.

The nematode Caenorhabditis elegans is excellently suited as a model for studying the genetic and molecular genetic basis of aging, and to test chemical compounds that interfere with the aging process. Mutants of factors in both the insulin and target of rapamycin (TOR) signalling pathways have been shown to extend life span of the worm. Phenotypic similarities among those mutants suggested that, exploiting the corresponding phenotypes in a semiautomated way, may increase the speed of investigating life span and aging in C. elegans. Here, we discuss several methodological approaches to automate longevity assays in the nematode.

Aging↗

The epidemiology of antiretroviral drug resistance among drug-naive HIV-1-infected persons in 10 US cities.

BACKGROUND: The prevalence and characteristics of persons with newly diagnosed human immunodeficiency virus (HIV) infections with or without evidence of mutations associated with drug resistance have not been well described. METHODS: Drug-naive persons in whom HIV had been diagnosed during the previous 12 months and who did not have acquired immune deficiency syndrome were sequentially enrolled from 39 clinics and testing sites in 10 US cities during 1997-2001. Genotyping was conducted from HIV-amplification products, by automated sequencing. For specimens identified as having mutations previously associated with reduced antiretroviral-drug susceptibility, phenotypic testing was performed. RESULTS: Of 1311 eligible participants, 1082 (83%) were enrolled and successfully tested; 8.3% had reverse transcriptase or major protease mutations associated with reduced antiretroviral-drug susceptibility. The prevalence of these mutations was 11.6% among men who had sex with men but was only 6.1% and 4.7% among women and heterosexual men, respectively. The prevalence was 5.4% and 7.9% among African American and Hispanic participants, respectively, and was 13.0% among whites. Among persons whose sexual partners reportedly took antiretroviral medications, the prevalence was 15.2%. CONCLUSIONS: Depending on the characteristics of the patients tested, HIV-genotype testing prior to the initiation of therapy would identify a substantial number of infected persons with mutations associated with reduced antiretroviral-drug susceptibility.

Adult↗

Automated pneumococcal MLST using liquid-handling robotics and a capillary DNA sequencer.

Multilocus sequence typing (MLST) is used by the Scottish Meningococcus and Pneumococcus Reference Laboratory (SMPRL) as a routine method for the characterization of certain bacterial pathogens. The SMPRL recently started performing MLST on strains of Streptococcus pneumoniae, and here we describe a fully automated method for MLST using a 96-well-format liquid-handling robot and a 96-capillary automated DNA sequencer.

Automation↗

Laboratory automation: trajectory, technology, and tactics.

Laboratory automation is in its infancy, following a path parallel to the development of laboratory information systems in the late 1970s and early 1980s. Changes on the horizon in healthcare and clinical laboratory service that affect the delivery of laboratory results include the increasing age of the population in North America, the implementation of the Balanced Budget Act (1997), and the creation of disease management companies. Major technology drivers include outcomes optimization and phenotypically targeted drugs. Constant cost pressures in the clinical laboratory have forced diagnostic manufacturers into less than optimal profitability states. Laboratory automation can be a tool for the improvement of laboratory services and may decrease costs. The key to improvement of laboratory services is implementation of the correct automation technology. The design of this technology should be driven by required functionality. Automation design issues should be centered on the understanding of the laboratory and its relationship to healthcare delivery and the business and operational processes in the clinical laboratory. Automation design philosophy has evolved from a hardware-based approach to a software-based approach. Process control software to support repeat testing, reflex testing, and transportation management, and overall computer-integrated manufacturing approaches to laboratory automation implementation are rapidly expanding areas. It is clear that hardware and software are functionally interdependent and that the interface between the laboratory automation system and the laboratory information system is a key component. The cost-effectiveness of automation solutions suggested by vendors, however, has been difficult to evaluate because the number of automation installations are few and the precision with which operational data have been collected to determine payback is suboptimal. The trend in automation has moved from total laboratory automation to a modular approach, from a hardware-driven system to process control, from a one-of-a-kind novelty toward a standardized product, and from an in vitro diagnostics novelty to a marketing tool. Multiple vendors are present in the marketplace, many of whom are in vitro diagnostics manufacturers providing an automation solution coupled with their instruments, whereas others are focused automation companies. Automation technology continues to advance, acceptance continues to climb, and payback and cost justification methods are developing.

Automation↗

Methicillin-resistant Staphylococcus caprae in a neonatal intensive care unit.

Staphylococcus caprae, a hemolytic coagulase-negative staphylococcus that is infrequently associated with humans, was initially detected in specimens from six infants in our neonatal intensive care unit due to phenotypic characteristics common to methicillin-resistant Staphylococcus aureus. These isolates were subsequently identified as S. caprae by the Automated RiboPrinter microbial characterization system. This prompted an 8-month retrospective investigation in our neonatal intensive care unit. S. caprae was the cause of 6 of 18 episodes of coagulase-negative staphylococcal bacteremia, was the most common coagulase-negative staphylococcus recovered from the nares of 6 of 32 infants surveyed in a methicillin-resistant S. aureus surveillance program, and was isolated from 1 of 37 health care providers' hands. Of 13 neonatal intensive care unit isolates tested, all were methicillin resistant and positive for the mecA gene. All 21 isolates were found to be a single strain by Automated RiboPrinter and pulsed-field gel electrophoresis with ApaI or SmaI digestion; ApaI was more discriminating in analyzing epidemiologically unrelated strains than Automated RiboPrinter or electrophoresis with SmaI. These findings extend the importance of S. caprae, emphasize its similarities to methicillin-resistant S. aureus, and demonstrate its ability to persist in an intensive care unit setting.

Adult↗

A novel method for automatic genotyping of microsatellite markers based on parametric pattern recognition.

Genetic mapping of loci affecting complex phenotypes in human and other organisms is presently being conducted on a very large scale, using either microsatellite or single nucleotide polymorphism (SNP) markers and by partly automated methods. A critical step in this process is the conversion of the instrument output into genotypes, both a time-consuming and error prone procedure. Errors made during this calling of genotypes will dramatically reduce the ability to map the location of loci underlying a phenotype. Accurate methods for automatic genotype calling are therefore important. Here, we describe novel algorithms for automatic calling of microsatellite genotypes using parametric pattern recognition. The analysis of microsatellite data is complicated both by the occurrence of stutter bands, which arise from Taq polymerase misreading the number of repeats, and additional bands derived form the non-template dependent addition of a nucleotide to the 3' end of the PCR products. These problems, together with the fact that the lengths of two alleles in a heterozygous individual may differ by only two nucleotides, complicate the development of an automated process. The novel algorithms markedly reduce the need for manual editing and the frequency of miscalls, and compares very favourably with commercially available software for automatic microsatellite genotyping.

Algorithms↗

Automated spectrophotometric analysis of mitochondrial respiratory chain complex enzyme activities in cultured skin fibroblasts.

BACKGROUND: Mitochondrial respiratory chain complex (RCC) disorders may occur as commonly as 1 in 8500 individuals. Because of the great variability of phenotypic presentations, measurement of individual RCC enzyme activities is a crucial diagnostic process. Current assay methods are time-consuming and labor-intensive and thus constitute a major impediment to clinical practice. A method with a faster turnaround time would therefore be beneficial. METHOD: We developed an automated spectrophotometric method for measuring the respiratory chain enzyme activities of complex I, complex II + III, and complex IV with the Hitachi 912, an automated spectrophotometer. Mitochondrial citrate synthase was also determined for normalization of the RCC activities. RESULTS: A blinded method comparison with samples from an external testing center yielded a 91% concordance of interpretations. Mean intraassay imprecision (as CV; n = 20) in a single batch analysis of each RCC was 5.9%. Interassay imprecision, evaluated on 2 samples harvested and analyzed 3 times each, gave mean CVs of 10%-18%. CONCLUSIONS: With this automated method, a panel of RCC enzyme activities can be determined in <2 h. In addition, an immunoblot assay using monoclonal antibodies against specific subunits of RCC enzyme complexes can be informative in cases of borderline enzyme activity. Our results suggest that in vitro diagnosis of RCC enzyme deficiencies in skin fibroblasts is an effective alternative to invasive muscle biopsy.

Autoanalysis↗

Genotyping and sequence analysis of apolipoprotein E isoforms.

Apolipoprotein E (apoE), a polymorphic plasma protein, is essential for catabolism of lipoproteins by receptor-mediated endocytosis. One of the apoE isoforms (E2) differs in its binding affinity to specific receptors and contributes to variations in lipoprotein metabolism. Diagnosis of apoE isoforms is done by isoelectric focusing, but it is hindered by various degrees of post-translational sialylation of the apoE protein. Electrophoretically silent structural variations may also escape detection by this technique. We describe a method for genotyping apoE based on hybridization of allele-specific oligonucleotides with enzymatically amplified genomic DNA, which permits unambiguous diagnosis of six common apoE phenotypes within 24 h. Among 100 E2 alleles present in 81 unrelated individuals genotyped by this technique, we found two rare structural mutants of apoE in addition to the common E2 form, E2(158Arg----Cys). Automated sequencing of amplified DNA identified the rare mutants as E2(136Arg----Ser) and E2(145Arg----Cys). The genotypic method may complement or even replace isoelectric focusing for routine determination of apoE phenotypes and for identification of rare structural variants.

Alleles↗

In vivo magnetic resonance imaging and semiautomated image analysis extend the brain phenotype for cdf/cdf mice.

Magnetic resonance imaging and computer image analysis in human clinical studies effectively identify abnormal neuroanatomy in disease populations. As more mouse models of neurological disorders are discovered, such an approach may prove useful for translational studies. Here, we demonstrate the effectiveness of a similar strategy for mouse neuroscience studies by phenotyping mice with the cerebellar deficient folia (cdf) mutation. Using in vivo multiple-mouse magnetic resonance imaging for increased throughput, we imaged groups of cdf mutant, heterozygous, and wild-type mice and made an atlas-based segmentation of the structures in 15 individual brains. We then performed computer automated volume measurements on the structures. We found a reduced cerebellar volume in the cdf mutants, which was expected, but we also found a new phenotype in the inferior colliculus and the olfactory bulbs. Subsequent local histology revealed additional cytoarchitectural abnormalities in the olfactory bulbs. This demonstrates the utility of anatomical magnetic resonance imaging and semiautomated image analysis for detecting abnormal neuroarchitecture in mutant mice.

Animals↗

Cytokine flow cytometry: a multiparametric approach for assessing cellular immune responses to viral antigens.

Considerable attention has been focused on CD8 and CD4 T cell responses as a major element of the cellular immune response to viral infections including human immunodeficiency virus (HIV) and hepatitis C virus (HCV). However, increasing evidence based on the recent introduction of more quantitative assays for measuring antigen-specific T cells has suggested that the role of these cells in the development of a protective immune response to a particular viral pathogen may be determined by a complex interplay of multiple virologic and cellular factors. Thus, measurements of only the frequencies of the T cell subsets participating in the response to viral pathogens may be an incomplete reflection of efficacy. In this review, we suggest that some measurable factors may influence the role of T cell immunity in conferring protection, including functional avidity, epitope breadth and specificity, proliferative capacity, cytokine repertoire, degree of anergy, and differentiation phenotype, as well as magnitude, of viral-specific CD4 and CD8 T cells. We suggest that automated cytokine flow cytometry (CFC) is an efficient approach to the measurement of the complex interplay of multiple immune parameters involved in immune protection. These ideas are discussed in the context of new developments in sample preparation and analysis automation.

Animals↗

The use of genetic SNPs as new diagnostic markers in preventive medicine.

Using an automated mass spectrometric genotyping platform, we have completed more than ten whole-genome SNP scans on phenotypically stratified population pools. The pools are usually constructed to represent one ethnicity, one gender, and one phenotype, classified as strictly as possible. From 28,000 to 91,000 different SNPs are used for each study, and the pools typically contain DNA from 300 different individuals. Significant correlations between SNP allele and phenotype are first reproduced in the pools, then replicated on individual DNA samples (deconvolution of the pools), and then where possible replicated in completely independent populations.

A Kinase Anchor Proteins↗

Evaluation of denaturing high performance liquid chromatography for the mutational analysis of the MEN1 gene.

The identification of mutations in the MEN1 gene causing MEN1 has represented a challenge since the cloning of the gene in 1997 because of the lack of mutation hot-spots in the gene and the lack of phenotype-genotype correlations. The use of denaturing high performance liquid chromatography (DHPLC), a high throughput, reliable and automated heteroduplex-based technique, is the ideal for mutation detection in MEN1. In this work, DHPLC was optimised for the screening of the nine coding exons and splice junctions of MEN1. Thanks to collaboration between two French laboratories recognised as reference centres for genotypic MEN1 diagnosis (Lyon and Lille), a blind retrospective study conducted in a cohort of 160 unrelated MEN1 probands with (or without) known germline mutations was undertaken to evaluate the sensitivity of DHPLC. We were able to detect 101 different sequence variations by DHPLC, distributed in the 10 analysed DNA fragments and corresponding to 100% of mutation detection compared with direct sequencing. 1.2% of samples were considered as false positive, exhibiting a heterogenous profile. DHPLC did not detect five cases of deletion or duplication of complete exons, neither did direct sequencing, showing the limits of the technique. Nevertheless, the method appeared to allow automated, rapid and low-cost mutation detection with high accuracy. Direct sequencing can be then applied to identify the sequence variations on the targeted DNA fragments showing heterozygous profile by DHPLC. In conclusion, genotypic diagnosis of MEN1 can benefit from DHPLC in terms of efficacy, rapidity and cost.

Base Sequence↗

Association of MICA gene and HLA-B*5101 with Behçet's disease in Greece.

PURPOSE: Behçet's disease (BD) is known to be associated with HLA-B51 in many different ethnic groups. Recently MICA, a member of a novel family of the human major histocompatibility complex (MHC) class I genes termed MIC (MHC class I chain-related genes), was identified near the HLA-B gene, and a triplet repeat microsatellite polymorphism was found in the transmembrane (TM) region. Because a strong association with BD of one particular MICA-TM allele, A6, was shown in a Japanese population, the present study was conducted to investigate microsatellite polymorphism in Greek patients with BD to know whether this association is generally observed in BD occurring in other populations. METHODS: Thirty-eight Greek patients with BD and 40 ethnically matched control subjects were examined for MICA microsatellite polymorphism using polymerase chain reaction (PCR) and subsequent automated fragment detection by fluorescent-based technology. RESULTS: Similar to the Japanese patients with BD, the phenotype frequency of the MICA-TM A6 allele was significantly increased in the Greek patients with BD (50.0% in control subjects versus 86.8% in BD cases), with an odds ratio (OR) of 6.60 (P = 0.0012). The MICA-A6 allele was found in a high frequency both in males and females (weighted OR = 6.68; P = 0.0017). No association was found between the A6 allele and several disease features. A strong association exists between the MICA-TM A6 allele and the B*5101 allele in both the control subjects and patients with BD (weighted OR = 44.39; P = 0.0000023). CONCLUSIONS: This study revealed in Greek patients a strong association of BD with a particular MICA-TM allele, MICA-A6, providing insight into the molecular mechanism underlying the development of BD.

Adult↗

Automating genomic data mining via a sequence-based matrix format and associative rule set.

There is an enormous amount of information encoded in each genome--enough to create living, responsive and adaptive organisms. Raw sequence data alone is not enough to understand function, mechanisms or interactions. Changes in a single base pair can lead to disease, such as sickle-cell anemia, while some large megabase deletions have no apparent phenotypic effect. Genomic features are varied in their data types and annotation of these features is spread across multiple databases. Herein, we develop a method to automate exploration of genomes by iteratively exploring sequence data for correlations and building upon them. First, to integrate and compare different annotation sources, a sequence matrix (SM) is developed to contain position-dependant information. Second, a classification tree is developed for matrix row types, specifying how each data type is to be treated with respect to other data types for analysis purposes. Third, correlative analyses are developed to analyze features of each matrix row in terms of the other rows, guided by the classification tree as to which analyses are appropriate. A prototype was developed and successful in detecting coinciding genomic features among genes, exons, repetitive elements and CpG islands.

Base Sequence↗

Computational approach involving use of the internal transcribed spacer 1 region for identification of Mycobacterium species.

The rapid and reliable identification of clinically significant Mycobacterium species is a challenge for diagnostic laboratories. This study evaluates a unique sequence-dependent identification algorithm called MycoAlign for the differential identification of Mycobacterium species. The MycoAlign system uses pan-Mycobacterium-specific primer amplification in combination with a customized database and algorithm. The results of testing were compared with conventional phenotypic assays and GenBank sequence comparisons using the 16S rRNA target. Discrepant results were retested and evaluated using a third independent database. The custom database was generated using the hypervariable sequences of the internal transcribed spacer 1 (ITS-1) region of the rRNA gene complex from characterized Mycobacterium species. An automated sequence-validation process was used to control quality and specificity of evaluated sequence. A total of 181 Mycobacterium strains (22 reference strains and 159 phenotypically identified clinical isolates) and seven nonmycobacterial clinical isolates were evaluated in a comparative study to validate the accuracy of the MycoAlign algorithm. MycoAlign correctly identified all referenced strains and matched species in 94% of the phenotypically identified Mycobacterium clinical isolates. The ITS-1 sequence target showed a higher degree of specificity in terms of Mycobacterium identification than the 16S rRNA sequence by use of GenBank BLAST. This study showed the MycoAlign algorithm to be a reliable and rapid approach for the identification of Mycobacterium species and confirmed the superiority of the ITS-1 region sequence over the 16S rRNA gene sequence as a target for sequence-based species identification.

Base Sequence↗

Identification of the oim mutation by dye terminator chemistry combined with automated direct DNA sequencing.

The homozygous oim/oim mouse, a model of moderate-to-severe human osteogenesis imperfecta, contains a G-nucleotide deletion in the Cola-2 gene (the murine pro alpha(I) collagen gene) that results in accumulation of alpha1(I) homotrimer collagen. Although these mice have a distinctive phenotype that includes multiple fractures and deformities, genotyping is necessary to distinguish them from their wildtype (+/+) and heterozygote (oim/+) littermates. In this study, the dye primer and dye terminator chemistry methods, in combination with automated direct DNA sequencing, were compared for accuracy and ease in genotyping. A total of 82 mice from 14 litters were bred and genotyped; this resulted in 18 +/+, 35 oim/+, and 29 oim/oim mice. The dye primer and dye terminator chemistry methods worked equally well for identification of the deletion mutation and thus the genotype of all of the mice. However, the dye terminator method was found to be superior on the basis of the reduced amount of sample handling and reduced quantity of reagent required.

Animals↗

A semiautomated method for erythrocyte antigen typing on microtitration plates.

We describe a method for erythrocyte antigen typing on U-bottom microtitration plates. This method permitted phenotyping of erythrocytes by an enzyme-enhanced hemagglutination assay simultaneously with an indirect antihuman globulin assay within the same microtitration plate. A robotic sample processor identified the samples, prepared the red cell suspensions and distributed the suspension along with the diluted antisera onto the microtitration plates. The assay results were read and interpreted using a microtitration plate photometer controlled by software specially designed to interpret agglutination reactions. Sample identities and assay results were automatically connected by the computer system and transmitted to a minicomputer system.

Automation↗