Methods in molecular biology
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Metabonomics, also often referred to as "metabolomics" or "metabolic profiling," is the systematic profiling of metabolites in bio-fluids or tissues of organisms and their temporal changes. In the last decade, metabonomics has become increasingly popular in drug development, molecular medicine, and other biotechnology fields, since it profiles directly the phenotype and changes thereof in contrast to other "-omics" technologies. ⋯ This chapter describes the best practices of metabonomics as seen today. All important steps of metabolic profiling in drug development and molecular medicine are described in great detail, starting from sample preparation, to determining the measurement details of all analytical platforms, and finally, to discussing the corresponding specific steps of data analysis.
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Large numbers of diverse small non-coding RNAs have been discovered and characterized in eukaryotic RNA interference pathways. These small RNAs have distinctive characteristics and are associated with Argonaute family proteins to regulate gene expression and genomes at various levels. These small RNAs include the Dicer-dependent group such as microRNAs (miRNAs) and small interfering RNAs (siRNAs), and the Dicer-independent group such as Piwi-interacting RNAs (piRNAs). This review summarizes the various classes of eukaryotic small RNAs and the general knowledge of their characteristics, biogenesis, and functions, with emphasis on some of the recently identified small RNAs.
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In the past decades, a variety of publicly available data repositories and resources have been developed to support protein related information management, data-driven hypothesis generation and biological knowledge discovery. However, there is also an increasing confusion for the researchers who are trying to quickly find the appropriate resources to help them solve their problems. In this chapter, we present a comprehensive review (with categorization and description) of major protein bioinformatics databases and resources that are relevant to comparative proteomics research. We conclude the chapter by discussing the challenges and opportunities for developing new protein bioinformatics databases.
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G-quadruplexes are noncanonical secondary structures formed in DNA sequences containing consecutive runs of guanines. DNA G-quadruplexes have recently emerged as attractive cancer therapeutic targets. It has been shown that the 3' G-rich single-stranded overhangs of human telomeres can form G-quadruplex structures. ⋯ Nuclear magnetic resonance (NMR) spectroscopy has been shown to be a powerful method in determining the G-quadruplex structures under physiologically relevant conditions. We present the NMR methodology used in our research group for structure determination of G-quadruplexes in solution and their interactions with small molecule compounds. An example of a G-quadruplex structure formed in the human telomere sequence recently solved in our laboratory is used as an example.
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Phosphoproteomics, the systematic study of protein phosphorylation events and cell signaling networks in cells and tissues, is a rapidly evolving branch of functional proteomics. Current phosphoproteomics research provides a large toolbox of strategies and protocols that may assist researchers to reveal key regulatory events and phosphorylation-mediated processes in the cell and in whole organisms. ⋯ We then discuss various tandem mass spectrometry approaches for phosphopeptide sequencing and quantification, and we consider aspects of phosphoproteome data analysis and interpretation. Efficient integration of these stages of phosphoproteome analysis is highly important to ensure a successful outcome of large-scale experiments for studies of phosphorylation-mediated protein regulation.