Methods in molecular biology
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Network-aided in silico approaches have been widely used for prediction of drug-target interactions and evaluation of drug safety to increase the clinical efficiency and productivity during drug discovery and development. Here we review the advances and new progress in this field and summarize the translational applications of several new network-aided in silico approaches we developed recently. ⋯ These state-of-the-art network-aided in silico approaches have been used for the discovery and development of broad-acting and targeted clinical therapies for various complex diseases, in particular for oncology drug repositioning. In this chapter, the described network-aided in silico protocols are appropriate for target-centric drug repositioning to various complex diseases, but expertise is still necessary to perform the specific oncology projects based on the cancer targets of interest.
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DNA methylation changes are dynamic processes which occur at cytosines of CpG dinucleotides and contribute to normal development but also to diseases. DNA methylation changes are most effective in promoters and enhancers, the former frequently being CpG-rich and the latter, in contrast, CpG-poor. Many genome-wide methods for DNA methylation analysis interrogate predominantly CpG-rich regions and, hence, spare enhancers and other potentially important genomic regions. ⋯ In a subsequent step, the non-covalently bound adapter oligonucleotide needs to be replaced by a novel oligonucleotide to provide the proper adapter sequence for the reverse strand in paired-end sequencing. The presented protocol describes an improved, simplified version of TWGBS where the inefficient oligo-replacement is circumvented by usage of a sequencing-compatible transposase-adapter complex. Consequently, genomic DNA of only a few hundred human cells is required to interrogate the complete human DNA methylome.
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Rapid evaluation of the CRISPR gRNA activity is an essential step of employing the technology in editing genes. Through machine learning strategy, the rule sets for in silico designing gRNAs with high activity has greatly improved. However, there are still discrepancies between different prediction rule sets, and between the predicted and actual gRNA activities. ⋯ We had previously developed a dual-fluorescent surrogate system, called C-Check, which based on single-strand annealing repair of the DNA double-strand breaks introduced by CRISPR-Cas9 to generate a functional EGFP. The system offers a tool for rapid functional evaluation of CRISPR gRNA activity, as well as for enrichment of gene edited cells. In this chapter, we will give a step-by-step instruction on the design, generation, and application of the C-Check system for quantifying gRNA activities.
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The increase in the number of Web-based resources on posttranslational modification sites (PTMSs) in proteins is accelerating. This chapter presents a set of computational protocols describing how to work with the Internet resources when dealing with PTMSs. The protocols are intended for querying in PTMS-related databases, search of the PTMSs in the protein sequences and structures, and calculating the pI and molecular mass of the PTM isoforms. Thus, the modern bioinformatics prediction tools make it feasible to express protein modification in broader quantitative terms.
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The emergence of the clustered, regularly interspaced, short palindromic repeat (CRISPR) technology provides tools for researchers to modify genomes in a specific and efficient manner. The Type II CRISPR-Cas9 system enables gene editing by directed DNA cleavage followed by either non-homologous end joining (NHEJ) or homology-directed repair (HDR). Here, we described the use of the Type II CRISPR-Cas9 system in detail from designing the guides to analyzing the desired gene disruption events.