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Epitope-targeted proteome analysis: towards a large-scale automated protein-protein-interaction mapping utilizing synthetic peptide arrays.

We describe the development of a process for the genome-wide mapping of interactions between protein domains and peptide ligands entirely based on high-throughput biochip technologies. A phage library displaying protein domains from a randomly fragmented and cloned cDNA library will be "panned" on an array of synthetic peptide ligands. After multiplexed affinity enrichment, peptide-specific phage populations will be automatically eluted, propagated, labelled and identified by hybridisation to a DNA microarray. Peptide arrays are synthesized in situ by SPOT synthesis on a planar substrate. By utilizing a commercially available library of human brain cDNA plus a set of distinct model domains cloned into T7-phage, we could show that a single panning round on an array of known peptide ligands for these model domains synthesized on a cellulose membrane can yield an enrichment of better than a factor of 1,000. This is sufficient to detect peptide-specific enrichment of Cy3(post-panning) against Cy5(pre-panning)-labelled phage DNA inserts on a cDNA microarray. Thus, the proof-of-principle of our approach could be successfully demonstrated and first interaction data are being collected.

Amino Acid Sequence↗

Automated docking and the search for HIV protease inhibitors.

This article will discuss the motivations, technologies, and future directions of computational automated docking in the context of the structure-based rational design of HIV-1 protease inhibitors. Docking simulations are widely used for screening of compound libraries to identify new drug leads, employing a simple model for rapid testing of thousands of compounds. Docking simulations are also useful for lead enhancement, using more detailed models to analyze the atomic interactions between inhibitors and target macromolecules. Major advances have been reported in the development of empirical force fields, which now allow assessment of relative binding strength and drug specificity, and extensions of automated docking techniques allow de novo drug design.

Computer Simulation↗

Novel ceftazidime-resistance beta-lactamases generated by a codon-based mutagenesis method and selection.

Four known and nine new ceftazidime-resistance beta-lactamases were generated by a novel, contaminating codon-based mutagenesis approach. In this method, wild-type codons are spiked with a set of mutant codons during oligonucleotide synthesis, generating random combinatorial libraries of primers that contain few codon replacements per variant. Mutant codons are assembled by tandem addition of a diluted mixture of five Fmoc-dimer amidites to the growing oligo and a mixture of four DMTr-monomer amidites to generate 20 trinucleotides that encode a set of 18 amino acids. Wild-type codons are assembled with conventional chemistry and the whole process takes place in only one synthesis column, making its automation feasible. The random and binomial behavior of this approach was tested in the polylinker region of plasmid pUC19 by the synthesis of three oligonucleotide libraries mutagenized at different rates and cloned as mutagenic cassettes. Additionally, the method was biologically assessed by mutating six contiguous codons that encode amino acids 237-243 (ABL numbering) of the TEM(pUC19) beta-lactamase, which is functionally equivalent to the clinically important TEM-1 beta-lactamase. The best ceftazidime-recognizing variant was a triple mutant, R164H:E240K: R241A, displaying a 333-fold higher resistance than the wild-type enzyme.

Amino Acid Substitution↗

Deconvolution gas chromatography/mass spectrometry of urinary organic acids--potential for pattern recognition and automated identification of metabolic disorders.

The National Institute of Standards and Technology (NIST) Automated Mass Spectral Deconvolution and Identification System (AMDIS) is applied to a selection of data files obtained from the gas chromatography/mass spectrometry (GC/MS) analysis of urinary organic acids. Mass spectra obtained after deconvolution are compared with a special user library containing both the mass spectra and retention indices of ethoxime-trimethylsilyl (EO-TMS) derivatives of a set of organic acids. Efficient identification of components is achieved and the potential of the procedure for automated diagnosis of inborn errors of metabolism and for related research is demonstrated.

Acyl-CoA Dehydrogenase↗

Automated profiling of urinary organic acids by dual-column gas chromatography and gas chromatography/mass spectrometry.

A multi-stage screening and identification scheme for the diagnosis of inborn errors in amino acid, fatty acid, carbohydrate and intermediary metabolism is described. The method is based on a computerized analysis of data obtained with dual-column gas chromatography/FID (GC/FID) and gas chromatography/mass spectrometry (GC/MS) profiling of urinary organic acids. It involves: (1) isolation of the compounds by solvent or solid-phase extraction; (2) conversion into trimethylsilyl (TMS) or TMS-oxime derivatives; (3) GC/FID analysis on SE-52 and OV-1701 capillary columns; (4) tentative identification by comparing the methylene unit (MU) values on both columns with a user-built library of reference compounds; (5) quantitative evaluation of the excretion profile; and (6) analysis by GC/MS of samples with an abnormal profile using an automated peak identification programme.

Acids↗

Automated high throughput screening for serine kinase inhibitors using a LEADseeker scintillation proximity assay in the 1536-well format.

High-throughput screening in the 1536-well format has been largely restricted to solution-based and cell-based screens. In this article, we show the feasibility of a completely automated, robust scintillation proximity assay in the 1536-well format that is suitable to identify inhibitors for a serine/threonine kinase from a compound library. The introduction of [(33)P]phosphate into a biotinylated peptide substrate mirrors the activity of the kinase. The peptide is immobilized on streptavidin-coated LEADseeker imaging beads and [(33)P]phosphate incorporation is detected with the LEADseeker imaging system of Amersham Pharmacia Biotech. To improve the liquid handling procedures for imaging bead suspensions in the low microliter range, we developed a novel trough with an integrated stirring function. A comparison of the 1536-well assay to a 384-well assay revealed a comparable assay quality with Z' factors of about 0.7 for the 384-well format and 0.6 for the 1536-well format. In an automated screen of a random compound collection, 94.4% of the inhibitory compounds could be identified with both assay formats. Dose-response curves were performed for a selection of identified kinase inhibitors and revealed similar IC(50) values for both assay formats.

Automation↗

Proposal for sequencing DNA using ligation of hexamers to generate sequential elongation primers (SPEL-6).

The efficiency of the directed-priming proposal of Studier [Proc. Natl. Acad. Sci. USA 86 (1989) 6917-1921] can be improved upon by employing a library of less than 4094 hexamers, allowing for the easy construction of all required primers using template-directed automated ligation. This 'top-down' sequencing procedure should be several times more efficient than the present 'bottom-up' procedures [see Watson, Science 248 (1990) 44-49].

Base Sequence↗

Two novel Bv8-like peptides from skin secretions of the toad Bombina maxima.

Two novel bioactive peptides were purified from skin secretions of the toad Bombina maxima. The partial N-terminal sequences of these two peptides were determined by automated Edman degradation. This allowed the cloning of full-length cDNAs encoding these two peptides from a cDNA library prepared from the toad skin. The deduced complete amino acid sequences indicate that both peptides are composed of 77 amino acids. A FASTA search in the databanks revealed that they exhibit 86-91% sequence identity with Bv8, a peptide originally isolated from skin secretions of Bombina variegata. They were thus named as Bv8-like peptide 1 (Bv8-LP1) and Bv8-like peptide 2 (Bv8-LP2), respectively. Sequence differences between Bv8-LP1 and 2 were due to six amino acid substitutions at positions 6, 11, 23, 24, 62 and 63. Bv8-LP1 and 2 differed from Bv8 with eleven and seven amino acid substitutions, respectively. Like Bv8, Bv8-LP1 and 2 possessed contractile activity on isolated guinea pig ileum. Additionally, they stimulated contraction of rabbit aortic rings in a dose-dependent manner at nanomolar concentrations.

Amino Acid Sequence↗

The role of quantitative structure--activity relationships (QSAR) in biomolecular discovery.

Empirical methods for building predictive models of the relationships between molecular structure and useful properties are becoming increasingly important. This has arisen because drug discovery and development have become more complex. A large amount of biological target information is becoming available through molecular biology. Automation of chemical synthesis and pharmacological screening has also provided a vast amount of experimental data. Tools for designing libraries and extracting information from molecular databases and high-throughput screening experiments robustly and quickly enable leads to be discovered more effectively. As drug leads progress down the development pipeline, the ability to predict physicochemical, pharmacokinetic and toxicological properties of these leads is becoming increasingly important in reducing the number of expensive, late development failures. Quantitative structure-activity relationship (QSAR) methods have much to offer in these areas. However, QSAR analysis has many traps for unwary practitioners. This review introduces the concepts behind QSAR, points out problems that may be encountered, suggests ways of avoiding the pitfalls and introduces several exciting, new QSAR methods discovered during the last decade.

Models, Molecular↗

Pesticide residue analysis in foodstuffs applying capillary gas chromatography with mass spectrometric detection. State-of-the-art use of modified DFG-multimethod S19 and automated data evaluation.

This paper focuses on recent developments in the author's laboratory and reports on the "ultimate" analysis scheme which has evolved over the last 20 years in our laboratory. This demonstrates the feasibility of screening analyses for pesticide residue identification, mainly by full scan GC-MS, down to the 0.01 ppm concentration level in plant foodstuffs. It is based on a miniaturized DFG S19 extraction applying acetone for extraction followed by liquid-liquid extraction with ethyl acetate-cyclohexane followed by gel permeation chromatography. The final chromatographic determination is carried out with a battery of three parallel operating gas chromatographic systems using effluent splitting to electron-capture and nitrogen-phosphorus detection, one with a SE-54 the other with a OV-17 capillary column and the third one with a SE-54 capillary column and mass selective detection for identification and quantitation. The method is established for monitoring more than 400 pesticides amenable to gas chromatography. These pesticide residues are identified in screening analyses by means of the dedicated mass spectral library PEST.L containing reference mass spectra and retention times of more than 400 active ingredients and also metabolites applying the macro program AuPest (Automated residue analysis on Pesticides) for automated evaluation which runs with Windows based HP ChemStation software. The two gas chromatographic systems with effluent splitting to electron-capture and nitrogen-phosphorus detection are used to check the results obtained with the automated GC-MS screening and also to detect those few pesticides which exhibit better response to electron-capture and nitrogen-phosphorus detection than to mass spectrometry in full scan.

Automation↗

Automation of toxicological screenings on a Hewlett Packard Chemstation GC-MS system.

OBJECTIVES: To optimize the interpretation of GC-MS toxicological screenings (i.e., to facilitate ion specific queries, create custom reports specifically adapted to each confirmation procedure, and eliminate redundant and/or inaccurate data on library search reports). DESIGN AND METHODS: The MS Chemstation software of the Hewlett Packard 5972 is constructed in a modular way. We made extensive modifications to two modules, the data analysis and the report modules, using the built-in MS Chemstation macro language. RESULTS: Ion specific queries were automated for over 60 commonly encountered analytes. Custom reports were created for the confirmation of positive drugs-of-abuse immunoassay results. With the incorporation of decision support rules into the data processing and the reporting phases, we obtained sensitive, accurate, and concise reports. CONCLUSIONS: The MS Chemstation software can be tailored to the needs of each individual application. The incorporation of a rule-based decision support system enhances the quality of the GC-MS toxicological screenings and results in faster, easier, and more reliable processing.

Gas Chromatography-Mass Spectrometry↗

Modification of an automated liquid-handling system for reagent-jet, nanoliter-level dispensing.

Reducing the scale of biochemical reactions is becoming commonplace. Examples include the screening of large libraries of chemical compounds or gene sequences. These applications demand the ability to transfer sub-microliter volumes of fluid. To this end, we have modified a Hamilton MICROLAB 2200 with high-speed solenoids and a liquid pressurization system to modulate volume delivery down to the nanoliter level. Additional modifications include the use of sapphire-tipped dispensing nozzles and a high-resolution substage to assist in the construction of DNA microarrays. Techniques for characterizing the dispensed volume are presented.

Aluminum Oxide↗

Profiling patterned transcripts in Drosophila embryos.

Here we describe a high-throughput screen to isolate transcripts with spatially restricted patterns of expression in early embryos. Our approach utilizes robotic automation for rapid analysis of sequence-selected cDNAs in a whole-mount in situ hybridization assay. We determined the spatial distribution of a random collection of 778 different genes from an embryonic cDNA library and show that a significant fraction of these exhibit patterned profiles of expression. In addition, gene ontology studies revealed groups of gene products exhibiting shared expression patterns, providing new insights into the largely overlooked effector molecules that function in development. As described in this paper, automated hybridization to whole-mount embryos in situ proved to be straightforward and provided us with a very powerful method for the global survey of gene expression in early embryos. From the perspective of biological significance, our finding that many spatially restricted transcripts correspond to loci encoding novel transcripts that have not been previously identified in nearly saturating genetic screens for maternal effect and zygotic lethals is particularly notable.

Animals↗

Luminescent proteins from Aequorea victoria: applications in drug discovery and in high throughput analysis.

Recent progress in generating a vast number of drug targets through genomics and large compound libraries through combinatorial chemistry have stimulated advancements in drug discovery through the development of new high throughput screening (HTS) methods. Automation and HTS techniques are also highly desired in fields such as clinical diagnostics. Luminescence-based assays have emerged as an alternative to radiolabel-based assays in HTS as they approach the sensitivity of radioactive detection along with ease of operation, which makes them amenable to miniaturization. Luminescent proteins provide the advantage of reduced reagent and operating costs because they can be produced in unlimited amounts through the use of genetic engineering tools. In that regard, the use of two naturally occurring and recombinantly produced luminescent proteins from the jellyfish Aequorea victoria, namely, aequorin and the green fluorescent protein (GFP), has attracted attention in a number of analytical applications in diverse research areas. Aequorin is naturally bioluminescent and has therefore, virtually no associated background signal, which allows its detection down to attomole levels. GFP has become the reporter of choice in a variety of applications given that it is an autofluorescent protein that does not require addition of any co-factors for fluorescence emission. Furthermore, the generation of various mutants of GFP with differing luminescent and spectral properties has spurred additional interest in this protein. In this review, we focus on the use of aequorin and GFP in the development of highly sensitive assays that find applications in drug discovery and in high throughput analysis.

Aequorin↗

Green fluorescent protein-based halide indicators with improved chloride and iodide affinities.

The green fluorescent protein YFP-H148Q is sensitive to halides by a mechanism involving halide binding and a shift in pK(a). However, a limitation of YFP-H148Q is its low halide sensitivity, with K(d)>100 mM for Cl(-). Indicators with improved sensitivities are needed for cell transport studies, particularly in drug discovery by high-throughput screening, and for measurement of Cl(-) concentration in subcellular organelles. YFP-H148Q libraries were generated in which pairs of residues in the vicinity of the halide binding site were randomly mutated. An automated procedure was developed to screen bacterial colonies for improved halide sensitivity. Analysis of 1536 clones revealed improved anion sensitivities with K(d) down to 2 mM for I(-) (I152L), 40 mM for Cl(-) (V163S), and 10 mM for NO(3)(-) (I152L). The anion-sensitive mechanism of these indicators was established and their utility in cells was demonstrated using transfected cells expressing the cystic fibrosis transmembrane conductance regulator chloride channel.

3T3 Cells↗

Complementary DNA sequencing: expressed sequence tags and human genome project.

Automated partial DNA sequencing was conducted on more than 600 randomly selected human brain complementary DNA (cDNA) clones to generate expressed sequence tags (ESTs). ESTs have applications in the discovery of new human genes, mapping of the human genome, and identification of coding regions in genomic sequences. Of the sequences generated, 337 represent new genes, including 48 with significant similarity to genes from other organisms, such as a yeast RNA polymerase II subunit; Drosophila kinesin, Notch, and Enhancer of split; and a murine tyrosine kinase receptor. Forty-six ESTs were mapped to chromosomes after amplification by the polymerase chain reaction. This fast approach to cDNA characterization will facilitate the tagging of most human genes in a few years at a fraction of the cost of complete genomic sequencing, provide new genetic markers, and serve as a resource in diverse biological research fields.

Amino Acid Sequence↗

Evaluation of accuracy and repeatability of identification of food-borne pathogens by automated bacterial identification systems.

The performances of five automated microbial identification systems, relative to that of a reference identification system, for their ability to accurately and repeatedly identify six common food-borne pathogens were assessed. The systems assessed were the MicroLog system (Biolog Inc., Hayward, Calif.), the Microbial Identification System (MIS; MIDI Inc., Newark, Del.), the VITEK system (bioMérieux Vitek, Hazelwood, Mo.), the MicroScan WalkAway 40 system (Dade-MicroScan International, West Sacramento, Calif.), and the Replianalyzer system (Oxoid Inc., Nepean, Ontario, Canada). The sensitivities and specificities of these systems for the identification of food-borne isolates of Bacillus cereus, Campylobacter jejuni, Listeria monocytogenes, Staphylococcus aureus, Salmonella spp., and verotoxigenic Escherichia coli were determined with 40 reference positive isolates and 40 reference negative isolates for each pathogen. The sensitivities of these systems for the identification of these pathogens ranged from 42.5 to 100%, and the specificities of these systems for the identification of these pathogens ranged from 32.5 to 100%. Some of the systems had difficulty correctly identifying the reference isolates when the results were compared to those from the reference identification tests. The sensitivity of MIS for the identification of S. aureus, B. cereus, E. coli, and C. jejuni, for example, ranged from 47.5 to 72. 5%. The sensitivity of the Microlog system for the identification of E. coli was 72.5%, and the sensitivity of the VITEK system for the identification of B. cereus was 42.5%. The specificities of four of the five systems for the identification of all of the species tested with the available databases were greater than or equal to 97.5%; the exception was MIS for the identification of C. jejuni, which displayed a specificity of 32.5% when it was tested with reference negative isolates including Campylobacter coli and other Campylobacter species. All systems had >80% sensitivities for the identification of Salmonella species and Listeria species at the genus level. The repeatability of these systems for the identification of test isolates ranged from 30 to 100%. Not all systems included all six pathogens in their databases; thus, some species could not be tested with all systems. The choice of automated microbial identification system for the identification of a food-borne pathogen would depend on the availability of identification libraries within the systems and the performance of the systems for the identification of the pathogen.

Bacillus cereus↗

Automated DNA sequencing requiring no DNA template purification.

A critical component in automated fluorescent DNA sequencing is good quality of DNA template. In an effort to reduce the dependence of sequencing success on DNA template quality, the effect of heat-soaked PCR on automated sequencing reactions has been examined. We have found that the heat-soaked PCR protocol considerably improves the overall quality of sequence data and significantly reduces the dependence on the quality of DNA templates. The improvement is corroborated by our ability to obtain over 500 bp of readable sequence per reaction using DNA from E. coli lysates as template obviating DNA purification.

Automation↗