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A small-molecule screen in C. elegans yields a new calcium channel antagonist.

Small-molecule inhibitors of protein function are powerful tools for biological analysis and can lead to the development of new drugs. However, a major bottleneck in generating useful small-molecule tools is target identification. Here we show that Caenorhabditis elegans can provide a platform for both the discovery of new bioactive compounds and target identification. We screened 14,100 small molecules for bioactivity in wild-type worms and identified 308 compounds that induce a variety of phenotypes. One compound that we named nemadipine-A induces marked defects in morphology and egg-laying. Nemadipine-A resembles a class of widely prescribed anti-hypertension drugs called the 1,4-dihydropyridines (DHPs) that antagonize the alpha1-subunit of L-type calcium channels. Through a genetic suppressor screen, we identified egl-19 as the sole candidate target of nemadipine-A, a conclusion that is supported by several additional lines of evidence. egl-19 encodes the only L-type calcium channel alpha1-subunit in the C. elegans genome. We show that nemadipine-A can also antagonize vertebrate L-type calcium channels, demonstrating that worms and vertebrates share the orthologous protein target. Conversely, FDA-approved DHPs fail to elicit robust phenotypes, making nemadipine-A a unique tool to screen for genetic interactions with this important class of drugs. Finally, we demonstrate the utility of nemadipine-A by using it to reveal redundancy among three calcium channels in the egg-laying circuit. Our study demonstrates that C. elegans enables rapid identification of new small-molecule tools and their targets.

Animals↗

Clinical spectrum of food allergy in children in Australia and South-East Asia: identification and targets for treatment.

The prevalence of atopic diseases is increasing worldwide for reasons that are not clear. Food allergies are the earliest manifestations of atopy. This review defines the foods most commonly involved in allergic reactions and identifies an emerging group of syndromes in which food allergy is involved. A study of the frequency of food allergies in Australia and South-East Asia has recently shown that egg, cow's milk and peanut are the most common food allergens in Australia, but there were divergent results from different regions of South-East Asia. It is not clear whether the differences in reactivity to foods are due to genetic or cultural factors, but the findings raise the possibility that genetic susceptibility to food allergy may operate at the T-cell level modulated by the major histocompatibility complex. The Melbourne Milk Allergy Study defined a wide range of clinical symptoms and syndromes that could be reproduced by dietary challenge. A subsequent analysis of the infants with hypersensitivity to cow's milk and other multiple food proteins identified a new syndrome, multiple food protein intolerance of infancy. Food challenges demonstrated reactions developing slowly days after commencement of low-allergen soy formula or extensively hydrolysed formula. Follow-up at the age of 3 years showed that most children with this disorder tolerated most foods apart from cow's milk, egg and peanut. Atopic dermatitis affects about 18% of infants in the first 2 years of life. In a community-based study we have shown a very strong association (RR 3.5) between atopic dermatitis and infants with immunoglobulin E allergy to cow's milk, egg or peanut. Family studies on these infants have shown a link between atopic dermatitis and the genomic region 5q31 adjacent to the interleukin-4 gene cluster. Infantile colic (distress) affects 15-40% of infants in the first 4 months of life. Many theories of causation have been proposed, but a study from our centre showed that dietary modification, particularly that of breastfeeding mothers whose infants present with colic before the age of 6 weeks, alleviated symptoms. Colic associated with vomiting has been attributed to gastro-oesophageal reflux (GOR). This has been considered primarily a motility disorder, but a secondary form resulting from food protein intolerance has been described recently. We have also recently identified a group of infants with distressed behaviour attributed to GOR who have failed to respond to H2-receptor antagonists, prokinetic agents and multiple formula changes. Symptoms resolved on commencement of an elemental amino acid-based formula. In two-thirds of the patients, symptoms relapsed when challenged with low-allergen soy formula or extensively hydrolysed formula. We propose that a period of food protein intolerance is a part of the normal development of the immune system as it encounters common dietary proteins in infancy and early childhood. Future targets for research are development of appropriate dietary and management strategies for these entities and identification of genetic markers for these disorders.

Allergens↗

Reassessment of sequence-based targets for identification of bacillus species.

The Bacillus genus is a large heterogeneous group in need of an efficient method for species differentiation. To determine the current validity of a sequence-based method for identification and provide contemporary data, PCR and sequencing of a 500-bp product encompassing the V1 to V3 regions of the 16S rRNA gene were undertaken using 65 of the 83 type strains of this genus. This region proved discriminatory between most species (70.0 to 100% similarity), the exceptions being clinically relevant B. cereus and B. anthracis as well as nonpathogenic B. psychrotolerans and B. psychrodurans. Consequently, 27 type and clinical strains from the B. cereus group were used to test alternate targets (rpoB, vrrA, and the 16S-23S spacer region) for identification. The rpoB gene proved the best alternate target, with a conserved 4-nucleotide difference between B. cereus and B. anthracis. The high 16S rRNA gene sequence similarities between some strains demonstrated the need for a polyphasic approach to the systematics of this genus. This approach is one focus of the Ribosomal Differentiation of Medical Microorganisms mandate. Accordingly, the 16S rRNA gene sequences generated in this study have been submitted for inclusion into its publicly accessible, quality-controlled database at http://www.ridom_rdna.de/.

Bacillus↗

rpoB gene: a target for identification of LAB cocci by PCR-DGGE and melting curves analyses in real time PCR.

Lactic acid bacteria (LAB) are essential in the quality of many fermented beverages like beer, cider and wine. In the two later cases, they convert malic acid into lactic acid during the malolactic fermentation. After fermentation, microbial stabilization is needed to prevent the development of spoilage bacteria species. Among them, cocci lead to different alterations: Pediococcus sp., and some strains of Leuconostoc mesenteroides and Oenococcus oeni can produce exopolysaccharides which modify wine viscosity and lead to ropiness. They also can produce acetic acid, biogenic amine, ethyl carbamate and volatile phenols. Therefore detection and identification are crucial. Results of phenotypic tests and DNA-DNA probes are not accurate enough. 16S RNA gene which is currently used for bacterial species identification presents intraspecies heterogeneity. The rpoB gene is an alternative to this limitation. However previous PCR targeting partial sequence of rpoB gene could not delimit cocci species. Therefore we compared the rpoB gene sequence of the six main cocci species found in fermented beverages: P. damnosus, P. dextrinicus, P. parvulus, P. pentosaceus, L. mesenteroides and O. oeni. The most discriminating partial sequence of the rpoB gene was chosen for designing primers. By PCR-DGGE the reliability of these primers was verified. It was controlled in a mixture of several cocci and other lactic acid bacteria (Lactobacillus sp.). Then we adapted the primers and the PCR conditions in order to achieve the identification of cocci species by real time PCR program including the fluorescent dye SYBR Green I, which gives faster results. PCR melt curves were established and a specific T(m) was attributed to each species.

Animals↗

Identification and validation of novel ERBB2 (HER2, NEU) targets including genes involved in angiogenesis.

V-erb-b2 erythroblastic leukemia viral oncogene homolog 2 (ERBB2; synonyms HER2, NEU) encodes a transmembrane glycoprotein with tyrosine kinase-specific activity that acts as a major switch in different signal-transduction processes. ERBB2 amplification and overexpression have been found in a number of human cancers, including breast, ovary and kidney carcinoma. Our aim was to detect ERBB2-regulated target genes that contribute to its tumorigenic effect on a genomewide scale. The differential gene expression profile of ERBB2-transfected and wild-type mouse fibroblasts was monitored employing DNA microarrays. Regulated expression of selected genes was verified by RT-PCR and validated by Western blot analysis. Genome wide gene expression profiling identified (i) known targets of ERBB2 signaling, (ii) genes implicated in tumorigenesis but so far not associated with ERBB2 signaling as well as (iii) genes not yet associated with oncogenic transformation, including novel genes without functional annotation. We also found that at least a fraction of coexpressed genes are closely linked on the genome. ERBB2 overexpression suppresses the transcription of antiangiogenic factors (e.g., Sparc, Timp3, Serpinf1) but induces expression of angiogenic factors (e.g., Klf5, Tnfaip2, Sema3c). Profiling of ERBB2-dependent gene regulation revealed a compendium of potential diagnostic markers and putative therapeutic targets. Identification of coexpressed genes that colocalize in the genome may indicate gene regulatory mechanisms that require further study to evaluate functional coregulation. (Supplementary material for this article can be found on the International Journal of Cancer website at http://www.interscience.wiley.com/jpages/0020-7136/suppmat/index.html.)

Animals↗

Metabolic pathway analysis in trypanosomes and malaria parasites.

Identification of novel drug targets is required for the development of new classes of drugs to overcome drug resistance and replace less efficacious treatments. In theory, knowledge of the entire genome of a pathogen identifies every potential drug target in any given microbe. In practice, the sheer complexity and the inadequate or inaccurate annotation of genomic information makes target identification and selection somewhat more difficult. Analysis of metabolic pathways provides a useful conceptual framework for the identification of potential drug targets and also for improving our understanding of microbial responses to nutritional, chemical and other environmental stresses. A number of metabolic databases are available as tools for such analyses. The strengths and weaknesses of this approach are discussed.

Animals↗

Application of proteomic technologies in the drug development process.

Proteins are the principal targets of drug discovery. Most large pharmaceutical companies now have a proteomics-oriented biotech or academic partner or have started their own proteomics division. Common applications of proteomics in the drug industry include target identification and validation, identification of efficacy and toxicity biomarkers from readily accessible biological fluids, and investigations into mechanisms of drug action or toxicity. Target identification and validation involves identifying proteins whose expression levels or activities change in disease states. These proteins may serve as potential therapeutic targets or may be used to classify patients for clinical trials. Proteomics technologies may also help identify protein-protein interactions that influence either the disease state or the proposed therapy. Efficacy biomarkers are used to assess whether target modulation has occurred. They are used for the characterization of disease models and to assess the effects and mechanism of action of lead candidates in animal models. Toxicity (safety) biomarkers are used to screen compounds in pre-clinical studies for target organ toxicities as well as later on in development during clinical trials. Complementary approaches such as metabolomics and genomics can be used in conjunction with proteomics throughout the drug development process to create more of a unified, systems biology approach.

Animals↗

Identification and targeting policies for computer-controlled infusion pumps.

In this article a series of useful techniques is presented to improve the adaptation capabilities of computer-controlled infusion pumps: an identification algorithm for the time constant of the effect compartment, a smoothing technique for estimation based on noisy data, and an infusion policy to target any effect site concentration with no overshoot.

Algorithms↗

Pharmacogenomics and the drug discovery pipeline: when should it be implemented?

One of the key factors in developing improved medicines lies in understanding the molecular basis of the complex diseases we treat. Investigation of genetic associations with disease utilizing advances in linkage disequilibrium-based whole genome association strategies will provide novel targets for therapy and define relevant pathways contributing to disease pathogenesis. Genetic studies in conjunction with gene expression, proteomic, and metabonomic analyses provide a powerful tool to identify molecular subtypes of disease. Using these molecular data, pharmacogenomics has the potential to impact on the drug discovery and development process at many stages of the pipeline, contributing to both target identification and increased confidence in the therapeutic rationale. This is exemplified by the identified association of 5-lipoxygenase-activating protein (ALOX5AP/FLAP) with increased risk of myocardial infarction, and of the chemokine receptor 5 (CCR5) with HIV infection and therapy. Pharmacogenomics has already been used in oncology to demonstrate that molecular data facilitates assessment of disease heterogeneity, and thus identification of molecular markers of response to drugs such as imatinib mesylate (Gleevec) and trastuzumab (Herceptin). Knowledge of genetic variation in a target allows early assessment of the clinical significance of polymorphism through the appropriate design of preclinical studies and use of relevant animal models. A focussed pharmacogenomic strategy at the preclinical phase of drug development will produce data to inform the pharmacogenomic plan for exploratory and full development of compounds. Opportunities post-approval show the value of large well-characterized data sets for a systematic assessment of the contribution of genetic determinants to adverse drug reactions and efficacy. The availability of genomic samples in large phase IV trials also provides a valuable resource for further understanding the molecular basis of disease heterogeneity, providing data that feeds back into the drug discovery process in target identification and validation for the next generation of improved medicines.

Animals↗

Small molecule screening by imaging.

Useful small molecule tools can be discovered in imaging screens that measure phenotype in single cells or small organisms. Recent examples include identification of small molecule inhibitors of processes such as cell migration, cytokinesis, mitotic spindle length determination, melanogenesis, aggresome formation, membrane transport and nuclear export. Imaging screens are currently limited by challenges in the areas of image analysis and target identification. We discuss the use of model organisms such as zebrafish in screens and review different methods of target identification. The emerging field of automated image analysis is also introduced.

Animals↗

Diagnostic protein discovery using proteolytic peptide targeting and identification.

Plasma protein profiling with mass spectrometry is currently being evaluated as a diagnostic tool for cancer and other diseases. These experiments consist of three steps: plasma protein fractionation, analysis with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS), and comparisons of the MALDI profiles to develop diagnostic fingerprints using bioinformatic techniques. While preliminary results appear promising in small sample groups, the method is limited by the sensitivity of MALDI-MS for intact proteins, the limited mass range of MALDI-MS, and difficulties associated with isolating individual proteins for identification to validate the diagnostic fingerprint. Here we present an alternative and improved method directed toward diagnostic protein discovery, which incorporates proteolytic peptide profiling, bioinformatic targeting of ion signals, and MALDI tandem mass spectrometry (MS/MS) peptide sequencing, rather than fingerprinting. Pancreatic cancer patients, pancreatitis patients, and controls are used as the model system. Profiling peptides after enzymatic digestion improves sensitivity and extends the accessible protein molecular weight range when compared to intact protein profiling. The first step is to extract and fractionate the proteins from plasma. Each fraction is digested with trypsin and subsequently analyzed by MALDI-MS. Rather than using bioinformatic analysis as a pattern-matching technique, peptides are targeted based on the disease to control peak intensity ratios measured in the averages of all mass spectra in each group and t-tests of the intensity of each individual peak. The targeted peptide ion signals are subsequently identified using MALDI-MS/MS in quadrupole-TOF and tandem-TOF instruments. This study found not only the proteins targeted and identified by a previous protein profiling experiment, but also detected additional proteins. These initial results are consistent with the known biology of pancreatic cancer or pancreatitis, but are not specific to those diseases.

Adult↗

Dissociating the effects of featural and conceptual interference on multiple target processing in rapid serial visual presentation.

Attentional blink (AB) describes the finding that, when subjects attend to a specified target in a rapidly presented visual stream, they show a decreased ability to process a subsequent probe item for up to 600 msec. In the present study, the roles of featural and conceptual interference in the processing of targets and probes in a rapid serial visual presentation stream were examined. In Experiment 1, featurally more complex T + 1 items produced larger AB even when the physical energy of the stimulus (e.g., the number of pixels) was held constant. In Experiment 2, the conceptual category of the T + 1 item affected target identification but not AB magnitude. These result suggest that featural interference is a major determinant of AB magnitude, whereas featural and conceptual interference both affect target identification.

Attention↗

Identification of target proteins of N-acetylglucosaminyl transferase V in human colon cancer and implications of protein tyrosine phosphatase kappa in enhanced cancer cell migration.

To gain a better understanding of the mechanism underlying colon cancer and to search for potential markers of colon cancer prognosis, a comparative proteomic analysis of colon cancer WiDr cells was conducted using 2-DE and lectin blot, followed by identification based on ESI-MS. Through these approaches 14 proteins were identified as candidate target proteins for N-acetylglucosaminyl transferase V (GnT-V) that would be expected to be implicated in the progression of colon cancer. We selected protein tyrosine phosphatase kappa (PTPkappa) as a model protein to validate this approach to the discovery of novel biomarkers in colon cancer. PTPkappa underwent an aberrant glycosylation in GnT-V-overexpressing WiDr cells, and the aberrantly glycosylated PTPkappa was vulnerable to proteolytic cleavage. The enhanced cleavage of PTPkappa in GnT-V-overexpressing cells was responsible for the mitigation of the homophilic binding capacity, resulting in an increase in cancer cell migration.

Cell Movement↗

Efficient gene identification and targeted gene disruption in the wheat blotch fungus Mycosphaerella graminicola using TAGKO.

TAGKO ( transposon- arrayed gene knock out) is a highly efficient method for gene discovery and gene function assignment in the rice blast fungus Magnaporthe grisea. Here, we report the application of genome-wide TAGKO to the wheat blotch fungus Mycosphaerella graminicola, including the successful development of electroporation-based transformation for this fungus. A M. graminicola genomic cosmid library was constructed and a pool of 250 cosmid clones was mutagenized by in vitro transposition. Sequence analysis identified 5,110 unique insertion events in the M. graminicola genome. Eleven transposon-tagged cosmid clones (TAGKO clones) were chosen and transformed into the wild-type strain by electroporation. Ten TAGKO clones out of 11 produced gene-specific mutants at a targeting frequency of 15-28%, significantly higher than that of conventional gene-disruption constructs. The remaining clone failed to produce viable mutants, thereby providing indirect evidence for the identification of an essential gene.

Ascomycota↗

Evaluation of multiple genomic targets for identification and confirmation of Mycobacterium avium subsp. paratuberculosis isolates using real-time PCR.

Specificity of six previously published Mycobacterium avium subsp. paratuberculosis (MAP) genomic loci, including 10, 38, 56, 93, 251, and 252 were evaluated in this study. Target 251 which was identified as MAP-specific was further evaluated in 210 MAP isolates, 14 non-MAP mycobacterial species, 7 atypical mycobacterial isolates, and 9 other bacterial species using real-time PCR. A previously published IS900 primer and probe combination was used as a positive control along with a universal ribosomal DNA gene sequence (UVA) as an internal control to evaluate PCR inhibition. All MAP isolates were positive with IS900, 251, and UVA by real-time PCR. All non-MAP mycobacterial species except one atypical mycobacterial isolate and other bacterial species used in this study were negative for IS900. All of these species were negative for 251. The atypical mycobacterial isolate, positive for IS900 and UVA, was negative for 251. A combination of IS900 and 251 PCR is ideal for sensitive and specific confirmation of MAP isolates from conventional fecal cultures. This study also evaluated the specificity of 251 real-time PCR, on broth cultures from 50 known bovine fecal samples. Acid fast staining followed by IS900 and 251 real-time PCR can be used for accurate identification and confirmation of MAP from broth cultures.

Animals↗

Does the attentional state determine processing dominance in to-be-ignored compound stimuli?

Previous studies (Paquet, 1992, 1994; Paquet and Merikle, 1988) have shown that identification of the local aspect of an attended compound stimulus is delayed by the presence of global distractors within a to-be-ignored compound stimulus, whereas identification of the global aspect is unaffected by local distractors. This asymmetrical pattern of interference indicates that processing of to-be-ignored compound stimuli is characterized by global dominance. In this study, I investigated the hypothesis that these findings were the outcome of subjects adopting an attentional state which favoured processing of global information. Following a procedure developed by Ward (1982), subjects were asked to perform two consecutive identification judgments of the global or the local aspects of two successive relevant compound stimuli, each presented with a to-be-ignored compound stimulus. The first and second judgments were performed either at the same level (i.e., both global or both local), or required switching attention across levels (i.e., global on the first judgment and local on the second, or local on the first judgment and global on the second). The results confirmed that the attentional state (switched vs. unswitched) influences global/local processing speed on the second judgment (Ward, 1982). However, no evidence for local dominance was found when the attentional state favored processing of local information. Instead, global distractors always affected local target identification, whereas interference effects of local distractors upon global target identification were restricted to the attention switching conditions. These findings suggest that the pattern of dominance in to-be-ignored stimuli is not determined by the attentional state, but may be related to fundamental differences in the strength of global and local information channels.

Attention↗

From glycomics to functional glycomics of sugar chains: Identification of target proteins with functional changes using gene targeting mice and knock down cells of FUT8 as examples.

Comprehensive analyses of proteins from cells and tissues are the most effective means of elucidating the expression patterns of individual disease-related proteins. On the other hand, the simultaneous separation and characterization of proteins by 1-DE or 2-DE followed by MS analysis are one of the fundamental approaches to proteomic analysis. However, these analyses do not permit the complete structural identification of glycans in glycoproteins or their structural characterization. Over half of all known proteins are glycosylated and glycan analyses of glycoproteins are requisite for fundamental proteomics studies. The analysis of glycan structural alterations in glycoproteins is becoming increasingly important in terms of biomarkers, quality control of glycoprotein drugs, and the development of new drugs. However, usual approach such as proteoglycomics, glycoproteomics and glycomics which characterizes and/or identifies sugar chains, provides some structural information, but it does not provide any information of functionality of sugar chains. Therefore, in order to elucidate the function of glycans, functional glycomics which identifies the target glycoproteins and characterizes functional roles of sugar chains represents a promising approach. In this review, we show examples of functional glycomics technique using alpha 1,6 fucosyltransferase gene (Fut8) in order to identify the target glycoprotein(s). This approach is based on glycan profiling by CE/MS and LC/MS followed by proteomic approaches, including 2-DE/1-DE and lectin blot techniques and identification of functional changes of sugar chains.

Animals↗

Profile identification of disease-associated humoral antigens using AMIDA, a novel proteomics-based technology.

We describe AMIDA (autoantibody-mediated identification of antigens), a novel target identification technology based on the immunoprecipitation of disease-specific antigens by autologous serum antibodies followed by two-dimensional electrophoretic separation, and their identification via mass spectrometry. Twenty-seven potential carcinoma antigens were identified including proteins of hitherto unknown function. Validation of one of the identified antigens, cytokeratin 8, revealed its de novo expression in hyperplastic tissue, gradual overexpression with increasing malignancy, and ectopic localization on the cell surface. Furthermore, a strong prevalence of CK8-specific antibodies occurred in the serum of cancer patients already at early disease stages. In situ hybridization for one marker of unknown function, KIAA1273/TOB3, demonstrated its strong overexpression in head and neck carcinomas, thus making it a likely tumor antigen candidate. Eventually, AMIDA could foster significant improvements for the diagnosis and therapy of human diseases eliciting a humoral immune response, and allows for the rapid identification of new target molecules.

Allergy and Immunology↗