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Use of fluorescence polarization detection for the measurement of fluopeptidetm binding to G protein-coupled receptors.

G protein-coupled receptors (GPCRs) represent the single largest molecular target of therapeutic drugs currently on the market, and are also the most common target in high throughput screening assays designed to identify potential new drug candidates. A large percentage of these assays are now formatted as radioligand binding assays. Fluorescence polarization ligand binding assays can offer a non-rad alternative to radioligand binding assays. In addition, fluorescence polarization assays are a homogenous format that is easy to automate for high throughput screening. We have developed a series of peptide ligands labeled with the fluorescent dye BODIPY TMR whose binding to GPCRs can be detected using fluorescence polarization methodology. BODIPY TMR has advantages over the more commonly used fluorescein dye in high throughput screening (HTS) assays due to the fact that its excitation and emission spectra are red-shifted approximately 50 nm relative to fluorescein. Assays based on BODIPY TMR ligands are therefore less susceptible to interference from tissue auto-fluorescence in the assay matrix, or the effects of colored or fluorescent compounds in the screening libraries. A series of BODIPY TMR labeled peptides have been prepared that bind to a range of GPCRs including melanin concentrating hormone, bradykinin, and melanocortin receptors. Conditions have been optimized in order to utilize a comparable amount of receptor membrane preparation as is used in a radioligand binding assay. The assays are formatted in 384-well microplates with a standard volume of 40 microL. We have compared the assays across the different fluorescence polarization (FP) readers available to determine the parameters for each instrument necessary to achieve the required precision.

Binding, Competitive↗

Identification limits for volatile organic compounds in the blood by purge-and-trap GC-FTIR.

An analysis method for volatile organic compounds in blood based on purge-and-trap extraction coupled with gas chromatography-Fourier transform infrared spectroscopy (GC-FTIR) was developed. The sample volume was 5 mL, and the internal standard was diethyl ketone. The chromatographic separation was carried out on a PoraPLOT Q capillary column, and the effluent was first directed to the FTIR and then to a flame ionization detector (FID). FTIR identification limits were measured for 27 volatile organic compounds; the criteria for the limit were that the first hit-list position should be obtained against the Sadtler library, which contains 3240 spectra, and that the correlation value should exceed 0.5. It was required that the peak be seen by FID but not necessarily by a Gram-Schmidt chromatogram. The FTIR identification limits, ranging from 0.01 mg/L for ethyl acetate, methylethyl ketone, and sevoflurane to 24 mg/L for methanol, generally allowed the detection of volatile-substance exposure at a lower level than is acutely toxic. Quantitative calibration data were presented for selected substances, based on the FID response, which shows that the method is also amenable to quantitative analysis. The throughput of the method without additional automation is five samples per day, the purge-and-trap stage being the limiting factor.

Flame Ionization↗

Automation of follow-up and data analysis of paediatric heart disease in Malta.

Widely available computer programs have been used to set up a database for patients with congenital heart disease in Malta. This database is used for clinical follow-up and research, and has been tailored to provide formatted output of specified results of follow-up as tables and graphs that are automatically updated with ongoing changes in the dataset. The system is easy to use, being menu- and icon driven and can be operated with minimal training. It has resulted in great saving of time not only in clinical practice, but also in the production of reports and analysis of data, as spreadsheets need only be created once and are then updated at will. The system also incorporates a patient summary generator and a on-screen picture library for patient explanation and teaching purposes.

Cardiac Catheterization↗

Mocca: semi-automatic method for domain hunting.

MOTIVATION: Multiple OCCurrences Analysis (Mocca) is a new method for repeat extraction. It is based on the T-Coffee package (Notredame et al., JMB, 302, 205-217, 2000). Given a sequence or a set of sequences, and a library of local alignments, Mocca extracts every segment of sequence homologous to a pre-specified master. The implementation is meant for domain hunting and makes it fast and easy to test for new boundaries or extend known repeats in an interactive manner. Mocca is designed to deal with highly divergent protein repeats (less than 30% amino acid identity) of more than 30 amino acids.

Automation↗

ICA512 autoantibody radioassay.

As part of a general program of screening islet expression libraries we have identified a clone from a lambda gt11 human islet expression library that reacts with human diabetic sera and, upon sequencing, was determined to be the neuroendocrine islet autoantigen ICA512 (islet cell antigen 512). In the current communication, we describe the development of a radioassay for autoantibodies to ICA512 (ICA512AA) using in vitro transcribed and translated protein for production of labeled antigen. Our initial results indicate that this radioassay is significantly more sensitive than the enzyme-linked immunosorbant assay, which uses a COOH-terminal fragment of ICA512. The ICA512AA radioassay uses a 96-well format with membrane separation of antibody bound from free antigen and should be readily adaptable to automated large-scale screening. Only 7 microliters of serum is required for triplicate determinations. In order to determine the specificity and sensitivity of this assay and estimate its positive predictive value, we have studied 42 new-onset diabetic patients, 33 first-degree relatives of diabetic patients followed to diabetes, 694 islet cell antibody-negative (ICA-) relatives, and 205 normal control subjects. Thirty-eight percent of new-onset patients and 48% of relatives followed to diabetes express autoantibodies to ICA512 exceeding the 99th percentile of the normal control subjects. In contrast, only 1.4% of ICA- first-degree relatives were positive for ICA512 autoantibodies.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗

Fifty years in medical informatics.

OBJECTIVES: An overview of personal experiences in medical informatics based on Dr. Morris Collen's 50 years of research in the field. METHODS: A personal reminiscence and historical overview, focusing on the first two decades of medical informatics, when Dr. Collen began working with Dr. Sidney Garfield, the founder of Kaiser Permanente, leading to his involvement in computer-based medical care, through the development of the pioneering Automated Multiphasic Health Testing (AMHT) system, which they introduced into Kaiser clinics in Oakland and San Francisco. RESULTS: Statistical models for medical decision-making based on consultations with Jerzy Neyman and George Dantzig were incorporated into the AMHT, and tested on a large database of cases. Meetings with other pioneers in medical informatics at the Karolinska Institute led to the formation of the early society Salutas Unitas, and the many national and international collaborations which followed during the first two decades helped coalesce the field as clinicians and researchers investigated problems of medical data, decision support, and laboratory, hospital, and library information systems. CONCLUSION: Dr. Collen's research and his many medical informatics activities significantly contributed to the growth of the field. The U.S. contributions are covered extensively in his book, A History of Medical Informatics in the United States, 1950-1990. Washington, DC: Am Med Informatics Association 1995.

Diagnosis, Computer-Assisted↗

Flow cytometry for high-throughput, high-content screening.

Flow cytometry is a mature platform for quantitative multi-parameter measurement of cell fluorescence. Recent innovations allow up to 30-fold faster serial processing of bulk cell samples. Homogeneous discrimination of free and cell-bound fluorescent probe eliminates wash steps to streamline sample processing. Compound screening throughput may be further enhanced by multiplexing of assays on color-coded bead or cell suspension arrays and by integrating computational techniques to create smaller, focused compound libraries. Novel bead-based assay systems allow studies of real-time interactions between solubilized receptors, ligands and molecular signaling components that recapitulate and extend measurements in intact cells. These new developments, and its broad usage, position flow cytometry as an attractive analysis platform for high-throughput, high-content biological testing and drug discovery.

Automation↗

Horizontal transfer of archaeal genes into the deinococcaceae: detection by molecular and computer-based approaches.

Members of the Deinococcaceae (e.g., Thermus, Meiothermus, Deinococcus) contain A/V-ATPases typically found in Archaea or Eukaryotes which were probably acquired by horizontal gene transfer. Two methods were used to quantify the extent to which archaeal or eukaryotic genes have been acquired by this lineage. Screening of a Meiothermus ruber library with probes made against Thermoplasma acidophilum DNA yielded a number of clones which hybridized more strongly than background. One of these contained the prolyl tRNA synthetase (RS) gene. Phylogenetic analysis shows the M. ruber and D. radiodurans prolyl RS to be more closely related to archaeal and eukaryal forms of this gene than to the typical bacterial type. Using a bioinformatics approach, putative open reading frames (ORFs) from the prerelease version of the D. radiodurans genome were screened for genes more closely related to archaeal or eukaryotic genes. Putative ORFs were searched against representative genomes from each of the three domains using automated BLAST. ORFs showing the highest matches against archaeal and eukaryotic genes were collected and ranked. Among the top-ranked hits were the A/V-ATPase catalytic and noncatalytic subunits and the prolyl RS genes. Using phylogenetic methods, ORFs were analyzed and trees assessed for evidence of horizontal gene transfer. Of the 45 genes examined, 20 showed topologies in which D. radiodurans homologues clearly group with eukaryotic or archaeal homologues, and 17 additional trees were found to show probable evidence of horizontal gene transfer. Compared to the total number of ORFs in the genome, those that can be identified as having been acquired from Archaea or Eukaryotes are relatively few (approximately 1%), suggesting that interdomain transfer is rare.

Archaea↗

The chemokine information source: identification and characterization of novel chemokines using the WorldWideWeb and expressed sequence tag databases.

The chemokine superfamily is a large group of more than 30 small proteins. Many of these were originally identified because of their role in the selective recruitment and activation of leukocytes during inflammation. More recently, some of the chemokine receptors and ligands have been implicated in the mechanism of viral infection for primate lentiviruses such as HIV-1. From the original identification of interleukin-8 (IL-8; the most studied member of the superfamily), the number of new family members has mushroomed over the last few years. Two events have dramatically altered the speed at which sequence information concerning novel chemokines has become available to the scientific community. First, many groups have been obtaining large amounts of sequence information from cDNA libraries by sequencing the clones at random, generating expressed sequence tags (ESTs). Although these ESTs are relatively short, typically less than 500 bases, this amount of sequence is usually sufficient to obtain the entire open reading frame for chemokines. Second, there has been a rapid growth in the use of the WorldWideWeb by bioinformatics groups. The Web was originally set up by the European Centre for Particle Physics (CERN) in Geneva as a method of transferring data between collaborating groups throughout the world. It has enabled biologists throughout the world to have almost instantaneous access both to the databases containing the EST sequences and to the automated tools that are required for searching such databases. With such methods we have been able to rapidly identify more than 10 new human chemokines from public domain databases. In addition to the known categories of chemokines, which are named C, CC, and CXC based on the spacings of N-terminal cysteine residues, we have been able to identify the first member of a novel chemokine subfamily, with a novel CXXXC cysteine spacing. Furthermore, we can subdivide the CC chemokines into monocyte chemotactic protein and macrophage inflammatory protein families based on their sequence identity levels, but also their clustering on the human genome, as identified on other Web sites. The rapid availability of all this data has reduced the amount of time spent on conventional gene identification, enabling us to move quickly on to trying to understand the biology and physiological relevance of these molecules. The novel chemokine sequences obtained and alignments with existing members of the superfamily are now contained within a Chemokine Information Source on an open access server, allowing further searching of chemokine sequences and increasing the availability of such data to the scientific community.

Amino Acid Sequence↗

The development of a computer-assisted search for anomalous compounds (CASAC).

An automated system for the recognition of anomalies in multi-compound mixtures is described. The mixtures to be investigated are injected into a combined gas chromatograph-mass spectrometer and low resolution spectra are acquired by repetitive scanning. Using an on-line computer, all of these spectra are compared with a pre-recorded file of spectra obtained by identical analyses of a "normal" mixture. The matching procedure has been designed to allow for differences in retention times. The CASAC program calculates and plots the degree of coincidence and in this way determines whether the sample spectrum contains fewer or more fragments than the corresponding library spectrum. The system has been applied to studies on pathological urine samples.

Adolescent↗

Methods to define and locate patterns of motifs in sequences.

A method to define and search for complex patterns of motifs in nucleic acid and protein sequences is described. With this method nucleic acid motifs can be defined in eight different ways and protein motifs in six. A pattern is defined by a list of motifs. The motifs in a list are combined using the logical operators AND, OR and NOT. The list also defines the ranges of allowed separations of the motifs in the pattern. Programs to search for patterns in individual sequences and libraries of sequences are described. Patterns are defined by users and stored as annotated disk files. Hence the programming to define and locate new structures can be performed by users and fewer specific novel algorithms should be required. Examples are given of searches for transcription initiation regions, nematode mitochondrial tRNA genes and for members of the globin sequence family.

Algorithms↗

Mining HIV dynamics using independent component analysis.

MOTIVATION: We implement a data mining technique based on the method of Independent Component Analysis (ICA) to generate reliable independent data sets for different HIV therapies. We show that this technique takes advantage of the ICA power to eliminate the noise generated by artificial interaction of HIV system dynamics. Moreover, the incorporation of the actual laboratory data sets into the analysis phase offers a powerful advantage when compared with other mathematical procedures that consider the general behavior of HIV dynamics. RESULTS: The ICA algorithm has been used to generate different patterns of the HIV dynamics under different therapy conditions. The Kohonen Map has been used to eliminate redundant noise in each pattern to produce a reliable data set for the simulation phase. We show that under potent antiretroviral drugs, the value of the CD4+ cells in infected persons decreases gradually by about 11% every 100 days and the levels of the CD8+ cells increase gradually by about 2% every 100 days. AVAILABILITY: Executable code and data libraries are available by contacting the corresponding author. IMPLEMENTATION: Mathematica 4 has been used to simulate the suggested model. A Pentium III or higher platform is recommended.

Algorithms↗

High-throughput screening for the discovery of inhibitors of fatty acid amide hydrolase using a microsome-based fluorescent assay.

Fatty acid amide hydrolase (FAAH) is a membrane-associated enzyme that catalyzes the hydrolysis of several endogenous bioactive lipids, including anandamide (AEA), N-palmitoylethanolamine (PEA), oleamide, and N-oleoylethanolamine (OEA). These fatty acid amides participate in many physiological activities such as analgesia, anxiety, sleep modulation, anti inflammatory responses, and appetite suppression. Because FAAH plays an essential role in controlling the tone and activity of these endogenous bioactive lipids, this enzyme has been implicated to be a drug target for the therapeutic management of pain, anxiety, and other disorders. In an effort to discover FAAH inhibitors, the authors have previously reported the development of a novel fluorescent assay using purified FAAH microsomes as an enzyme source and a fluorogenic substrate, arachidonyl 7-amino, 4-methyl coumarin amide (AAMCA). Herein, the authors have adapted this assay to a high-throughput format and have screened a large library of small organic compounds, identifying a number of novel FAAH inhibitors. These data further verify that this fluorescent assay is sufficiently robust, efficient, and low-cost for the identification of FAAH inhibitory molecules and open this class of enzymes for therapeutic exploration.

Amidohydrolases↗

Cellular fluorescent indicators and voltage/ion probe reader (VIPR) tools for ion channel and receptor drug discovery.

High throughput functional assays are increasingly relied upon to generate early and novel discovery leads for drug development. Ion transport proteins including channels, transporters, and pumps play central roles in cellular bioenergetics, excitability, and a multitude of other biological functions. Facile, robust methods for detecting ion transport activity in both native and heterologous systems is desirable for rapid functional analysis and drug discovery for these difficult but important targets. Here we discuss cell-compatible fluorescent probes, functional assays, and VIPR instrumentation that are used to monitor real-time target activity and screen large chemical libraries for potent and selective modulators. Advances and issues for both exogenously applied and fluorescent protein probes of cellular membrane potential, Ca2+, Cl-, and pH are addressed. High throughput screening (HTS) compatible, rapid kinetic and fluorescence resonance energy transfer (FRET) assays are emphasized, in particular the use of voltage-sensitive FRET probes to assay ion channel activity in single cells and 96/384-well formats.

Aequorin↗

Phage display tools for blood typing.

Current technologies used in blood banks for blood group antigen typing and other pretransfusion tests are extraordinarily labor-intensive, prone to human error, and an order of magnitude more expensive per test than those in other clinical laboratories. With a growing shortage of skilled medical technologists, dwindling supplies of human plasma-derived phenotyping reagents, and an inherent difficulty in fully automating agglutination-based methodologies, the ability to perform rapid and accurate pretransfusion testing in a cost-effective manner has become a significant challenge. This paper reviews the latest advances in the use of phage display technologies to address these issues through the development of inexpensive and renewable blood bank testing reagents that are amenable to high-throughput, automatable assay systems.

Blood Grouping and Crossmatching↗

Automated image analysis for array hybridization experiments.

MOTIVATION: Image analysis is a major part of data evaluation for array hybridization experiments in molecular biology. The program presented here is designed to analyze automatically images from hybridization experiments with various arrangements: different kinds of probes (oligonucleotides or complex probes), different supports (nylon filters or glass slides), different labeling of probes (radioactively or fluorescently). The program is currently applied to oligonucleotide fingerprinting projects and complex hybridizations. The only precondition for the use of the program is that the targets are arrayed in a grid, which can be approximately transformed to an orthogonal equidistant grid by a projective mapping. RESULTS: We demonstrate that our program can cope with the following problems: global distortion of the grid, missing of grid nodes, local deviation of the spot from its specified grid position. This is checked by different quality measures. The image analysis of oligonucleotide fingerprint experiments on an entire genetic library is used, in clustering procedures, to group related clones together. The results show that the program yields automatically generated high quality input data for follow up analysis such as clustering procedures. AVAILABILITY: The executable files will be available upon request for academics.

Algorithms↗

Application of an on-line liquid chromatographic system for the determination of polar herbicides in drinking water within a routine laboratory.

A previously developed on-line automated system for the analysis of polar herbicides in raw and drinking water, was further optimised for use within a routine environmental monitoring laboratory. One-hundred-ml portions of sample were extracted onto interchangeable, PLRP-S packed cartridges, prior to desorption by the mobile phase of an HPLC system. Determination of triazine and phenylurea herbicides was achieved by UV diode array detection, with detection limits ranging between 0.002 and 0.012 microgram l-1. Precision, in HPLC grade water, ranged from 3.1 to 9.7% R.S.D. at the 0.090 microgram l-1 level, as determined at those wavelengths selected for routine analysis. Confirmation of positive results was achieved by library searching of UV spectra. The system was found to be robust for routine analysis, with a sample throughput of ten samples per day.

Chromatography, High Pressure Liquid↗

Spectral morphometric characterization of breast carcinoma cells.

The spectral morphometric characteristics of standard haematoxylin and eosin breast carcinoma specimens were evaluated by light microscopy combined with a spectral imaging system. Light intensity at each wavelength in the range of 450-800 nm was recorded for 10(4) pixels from each field and represented as transmitted light spectra. A library of six characteristic spectra served to scan the cells and reconstruct new images depicting the nuclear area occupied by each spectrum. Fifteen cases of infiltrating ductal carcinoma and six cases of lobular carcinoma were examined; nine of the infiltrating ductal carcinoma and three of the lobular carcinoma showed an in situ component. The spectral morphometric analysis revealed a correlation between specific patterns of spectra and different groups of breast carcinoma cells. The most consistent result was that lobular carcinoma cells of in situ and infiltrating components from all patients showed a similar spectral pattern, whereas ductal carcinoma cells displayed spectral variety. Comparison of the in situ and the infiltrating ductal solid, cribriform and comedo carcinoma cells from the same patient revealed a strong similarity of the spectral elements and their relative distribution in the nucleus. The spectrum designated as number 5 in the library incorporated more than 40% of the nuclear area in 74.08% of the infiltrating lobular cells and in 13.64% of the infiltrating ductal carcinoma cells (P < 0.001). Spectrum number 2 appeared in all infiltrating ductal cells examined and in none of the lobular cells. These results indicate that spectrum number 5 is related to infiltrating lobular carcinoma, whereas spectrum number 2 is characteristic for infiltrating ductal carcinoma cells. Spectral similarity mapping of central necrotic regions of comedo type in situ carcinoma revealed nuclear fragmentation into defined segments composed of highly condensed chromatin. We conclude that the spectral morphometric features found for lobular and ductal cell populations may serve future automated histological diagnostics.

Breast Neoplasms↗