Serum uric acid (SUA) is a new therapeutic target for non-alcoholic fatty liver disease (NAFLD). In this study, we introduced a chemiluminescence (CL) method combined with microarray technology and a simple fabricatio...
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Serum uric acid (SUA) is a new therapeutic target for non-alcoholic fatty liver disease (NAFLD). In this study, we introduced a chemiluminescence (CL) method combined with microarray technology and a simple fabrication procedure to obtain a highly sensitive SUA probe based on a mesoporous metal oxide nanomaterial. The high-throughput method was based on the generation of H2O2 from SUA by immobilized uricase and its measurement by a CL reaction catalyzed by mesoporous metal oxide nanomaterials. The CL probe was designed for SUA The linear range of the uric acid concentration was 0.6-9M and the detection limit was 0.1M. In comparison with the other SUA detection techniques, this method has the advantages of a low detection limit, high sensitivity and simplicity. A new sensitive high-throughput approach was obtained for the determination of SUA.
In this paper, we report on the postpolymerization modification (PPM) of a polymer to introduce new functionalities that enable click chemistry reactions for microarray applications. The parent polymer, named copoly(D...
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In this paper, we report on the postpolymerization modification (PPM) of a polymer to introduce new functionalities that enable click chemistry reactions for microarray applications. The parent polymer, named copoly(DMA-NAS-MAPS), is composed of N,N-dimethylacrylamide (DMA), a monomer that self-adsorbs onto different materials through weak interactions such as hydrogen bonding or van der Waals forces, 3-(trimethoxysilyl)propyl methacrylate (MAPS) that strengthens the stability of the coating through the formation of covalent bonds with siloxane groups on the surface to be coated, and N-acryloyloxysuccinimide (NAS), an active ester group, highly reactive toward nucleophiles, which enables bioprobe immobilization. This copolymer has been widely exploited to coat surfaces for microarray applications but exhibits some limitations because of the potential hydrolysis of the active ester (NHS ester). The degradation of the NHS ester hampers the use of this coating in some situations, for example, when probe immobilization cannot be accomplished through a microspotting situation, but in large volumes, for example, in microchannel derivatization or micro-/nanoparticle functionalization. To overcome the limitations of NHS esters, we have developed a family of polymers that originate from the common copolymer precursor, by reacting the active ester contained in the polymer chain with a bifunctional amine. In particular, the functional groups introduced in the polymer using PPM enable click chemistry reactions such as azide/alkyne or thiol/maleimide "click" reactions, with suitably modified biomolecules. The advantages of such reactions are quantitative yields, orthogonality of functional groups, and insensitivity of the reaction to pH. The new click functionalities, inserted with quantitative yields, improve the stability of the coating, enabling the attachment of biomolecules directly from a solution and avoiding the spotting of reduced volumes (pL) of probes. Finally, we hav
Microengines meet microarray technology. The transport of a target molecule toward a sensing surface can play a critical role in biodetection performance. The mixing induced by the motion of self-propelled micromotors...
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Phenotype microarray (PM) technology provides an insight into the metabolic profiling of microbial cells within 96-well plate system. The PM assay allows for cells to be assessed for utilisation of nutrients or sensit...
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Phenotype microarray (PM) technology provides an insight into the metabolic profiling of microbial cells within 96-well plate system. The PM assay allows for cells to be assessed for utilisation of nutrients or sensitivity to toxic compounds. The assay utilises a redox sensitive tetrazolium dye which becomes irreversibly reduced upon detection of cellular metabolic output, detection is synchronous with a colour change from colourless to purple. Output from PM technology can be measured visually or quantified by reader the absorbance in each well. PM technology has highlighted differences in growth requirements, nutrient utilisation, sensitivity to toxins, and genetic diversity in bacteria, fungi and mammalian cells.
[...]the presence of certain respiratory and food allergens in breast milk has been recently demonstrated.9,10 However, milk-specific IgG may appear because of local IgG production without corresponding IgG in blood.
[...]the presence of certain respiratory and food allergens in breast milk has been recently demonstrated.9,10 However, milk-specific IgG may appear because of local IgG production without corresponding IgG in blood.
microarray technology is a powerful tool that enables simultaneous analysis of the expression level of a large number of genes for different samples. Reliable information on gene expression level is much needed in the...
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microarray technology is a powerful tool that enables simultaneous analysis of the expression level of a large number of genes for different samples. Reliable information on gene expression level is much needed in the health system as it is widely used to predict, diagnose, and treat human diseases (e.g., Alzheimer's). For the analysis of the microarray dataset, biclustering is known to be a highly capable approach, however some characteristics of the dataset including high dimensionality, noise, uncertainty, and complex biological processes need to be handled properly. Concerning these characteristics, the current paper proposes a novel two-stage biclustering framework based on soft clustering and a metaheuristic technique. The integration of the two stages ensures a reliable search process to find similar expression patterns concerning gene expression characteristics. The proposed framework employs fuzzy and possibilistic clustering along with Type2-Fuzzy Sets theory to handle high-level uncertainty, noise, and outliers in microarray datasets. Considering the NP-hard nature of the biclustering method, the proposed framework incorporates the Genetic Algorithm with a unique chromosome representation, fitness function, and modification mechanisms. Real microarray datasets of Alzheimer's Disease have been used to evaluate the proposed framework. The comparative analysis of different versions of our proposed framework and some well-known biclustering methods demonstrates that the proposed framework is superior in terms of some indices including the mean squared residual and variance indices. The final results are further evaluated using the defined fitness function, which indicates the better performance of our possibilisticbased biclustering methods.
A barn owl (Tyto alba) died with neurological signs compatible with a viral infection. After discarding other possible infections caused by circulating viruses in the area, analysis of the central nervous system using...
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A barn owl (Tyto alba) died with neurological signs compatible with a viral infection. After discarding other possible infections caused by circulating viruses in the area, analysis of the central nervous system using a pan-viral microarray revealed hybridization to canary bornavirus 2 (CnBV-2). Subsequent sequence analysis confirmed the presence of a virus sharing more than 83% identity with CnBV-2. Surprisingly, the new sequence corresponds to a new virus, here named Barn owl Bornavirus 1 (BoBV-1), within the Orthobornavirus serini species. Moreover, it is the first member of this species that has been detected in a non-passerine bird, indicating that Orthobornavirus serini species comprises viruses with a wider range of hosts than previously presumed. The use of this microarray has proven to be an excellent tool for viral detection in clinical samples, with capacity to detect new viral variants. This allows the diagnosis of a great range of viruses, which can cause similar disease symptoms and which identification by PCR methods might be tedious, probably unsuccessful and, in the long run, expensive. This platform is highly useful for a fast and precise viral detection, contributing to the improvement of diagnostic methods.
microarray technology is a novel method to monitor the levels of expression of a huge number of genes *** study aims at (1) identifying the most important genes in the molecular senescence of the hippocampus and retin...
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microarray technology is a novel method to monitor the levels of expression of a huge number of genes *** study aims at (1) identifying the most important genes in the molecular senescence of the hippocampus and retina, where both with accelerated neurological senescence (S10 and 8) models were obtainable. By using feature selection to reduce the size of high dimensional data. Hence, the process of gene selection is twofold;removing the irrelevant genes and selecting the informative genes, and (2) The determination of the study is to specify the association among these genes or pathways that would deliver insight into the mechanism for this phenotype which will be greater to the current imperfect state-of-the-art estimates. In this study, gene selection methods have been implemented, including Analysis of Variance (ANOVA). The results are showed that CNN model achieve 0.98 accuracy based on a subset of genes from ANOVA method. Thus, Genes subset selected is achieved a better accuracy at classification and a little time of processing.
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