Proteomics
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We have previously shown that the dinuclear zinc(II) complex Phos-tag and its derivatives act as phosphate-capture molecules in aqueous solution under conditions of neutral pH. In this study, our aim was to develop more-advanced applications for the detection of phosphopeptides and phosphoproteins by using several newly synthesized Phos-tag derivatives, including a bisbiotinylated Phos-tag (BTL-108), a tetrakisbiotinylated Phos-tag (BTL-109), and a monobiotinylated Phos-tag with a dodeca(ethylene glycol) spacer (BTL-111), as well as the commercially available product BTL-104. ⋯ In addition, in a quartz-crystal microbalance analysis of a phosphoprotein, the presence of the long hydrophilic dodeca(ethylene glycol) spacer in a novel Phos-tag sensor chip coated with BTL-111 resulted in a greater sensitivity than was achieved with a similar chip coated with BTL-104. Moreover, a peptide microarray technique using the ECL system and BTL-111 permitted high-throughput assays for the specific and highly sensitive detection of protein kinase activities in cell lysates.
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Bioinformatics is the field where computational methods from various domains have come together for analysis of biological data. Each domain has introduced its own specific jargon. However, in closely related domains, e.g. machine learning and statistics, concordant and discordant terminology occurs, the later can lead to confusion. ⋯ We provide a short summary of the most commonly applied machine learning and statistical approaches to data analysis in bioinformatics, i.e. classification and statistical hypothesis testing. We explain differences and similarities in common terminology used in various domains, such as precision, recall, sensitivity and true positive rate. This primer can serve as a guide to the terminology used in these fields.
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Despite the success of several international initiatives the glycosciences still lack a managed infrastructure that contributes to the advancement of research through the provision of comprehensive structural and experimental glycan data collections. UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. ⋯ In order to achieve this, the framework is committed to the development of tools and procedures that support data annotation, and expanding interoperability through cross-referencing of existing databases. Database URL: http://www.unicarbkb.org.
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Identification of genes and pathways involved in diseases and physiological conditions is a major task in systems biology. In this study, we developed a novel non-parameter Ising model to integrate protein-protein interaction network and microarray data for identifying differentially expressed (DE) genes. ⋯ The results showed that more cancer-related DE sub-networks and genes were identified by the Ising model than those by the Markov random field model. Furthermore, cross-validation experiments showed that DE genes identified by Ising model can improve classification performance compared with DE genes identified by Markov random field model.
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Human embryonic stem cells (hESCs) are of immense interest for regenerative medicine as a source of tissue replacement. Expansion of hESCs as a pluripotent population requires a balance between survival, proliferation and self-renewal signals. One of the key growth factors that maintains this balance is fibroblast growth factor-2 (FGF-2). ⋯ Among those are several members of the canonical pathways involved in pluripotency and self-renewal (e.g. Wnt and PI3K/AKT), hESC-associated proteins such as SOX2, RIF1, SALL4, DPPA4, DNMT3B and 53 proteins that are target genes of the pluripotency transcription factors SOX2, OCT4 and NANOG. These findings complement existing pluripotency analyses and provide new insights into how FGF-2 assists in maintaining the undifferentiated state of hESCs.