Bacteriophages likely constitute the largest biomass on Earth. However, very few phage genomes have been well-characterized, the tailed phage T4 genome being one of them. Even in T4, much of the genome remained uncharacterized. The classical genetic strategies are tedious, compounded by genome modifications such as cytosine hydroxylmethylation and glucosylation which makes T4 DNA resistant to most restriction endonucleases. Here, using the type-II CRISPR-Cas9 system, we report the editing of both modified (ghm-Cytosine) and unmodified (Cytosine) T4 genomes. The modified genome, however, is less susceptible to Cas9 nuclease attack when compared to the unmodified genome. The efficiency of restriction of modified phage infection varied greatly in a spacer-dependent manner, which explains some of the previous contradictory results. We developed a genome editing strategy by codelivering into E. coli a CRISPR-Cas9 plasmid and a donor plasmid containing the desired mutation(s). Single and multiple point mutations, insertions and deletions were introduced into both modified and unmodified genomes. As short as 50-bp homologous flanking arms were sufficient to generate recombinants that can be selected under the pressure of CRISPR-Cas9 nuclease. A 294-bp deletion in RNA ligase gene rnlB produced viable plaques, demonstrating the usefulness of this editing strategy to determine the essentiality of a given gene. These results provide the first demonstration of phage T4 genome editing that might be extended to other phage genomes in nature to create useful recombinants for phage therapy applications.
The 2′,5′-oligoadenylate synthetase (OAS) and its downstream effector RNase L play important roles in host defense against virus infection. Oas1b, one of the eight Oas1 genes in the mouse genome, has been identified as a murine flavivirus-resistance gene. Four genes, OAS1, OAS2, OAS3, and OAS-like (OASL), have been identified in the human OAS gene family, and 10 isoforms, including OAS1 (p42, p44, p46, p48, and p52), OAS2 (p69 and p71), OAS3 (p100), and OASL (p30 and p59) can be generated by alternative splicing. In this study, we determined the role of the human OAS/RNase L pathway in host defense against dengue virus (DEN) infection and assessed the antiviral potential of each isoform in the human OAS family. DEN replication was reduced by overexpression and enhanced by knockdown of RNase L expression, indicating a protective role for RNase L against DEN replication in human cells. The human OAS1 p42, OAS1 p46, and OAS3 p100, but not the other OAS isoforms, blocked DEN replication via an RNase L-dependent mechanism. Furthermore, the anti-DEN activities of these three OAS isoforms correlated with their ability to trigger RNase L activation in DEN-infected cells. Thus, OAS1 p42/p46 and OAS3 p100 are likely to contribute to host defense against DEN infection and play a role in determining the outcomes of DEN disease severity.
Exome sequencing (exome-seq) has aided in the discovery of a huge amount of mutations in cancers, yet challenges remain in converting oncogenomics data into information that is interpretable and accessible for clinical care. We constructed DriverDB (http://ngs.ym.edu.tw/driverdb/), a database which incorporates 6079 cases of exome-seq data, annotation databases (such as dbSNP, 1000 Genome and Cosmic) and published bioinformatics algorithms dedicated to driver gene/mutation identification. We provide two points of view, ‘Cancer’ and ‘Gene’, to help researchers to visualize the relationships between cancers and driver genes/mutations. The ‘Cancer’ section summarizes the calculated results of driver genes by eight computational methods for a specific cancer type/dataset and provides three levels of biological interpretation for realization of the relationships between driver genes. The ‘Gene’ section is designed to visualize the mutation information of a driver gene in five different aspects. Moreover, a ‘Meta-Analysis’ function is provided so researchers may identify driver genes in customer-defined samples. The novel driver genes/mutations identified hold potential for both basic research and biotech applications.
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