Dataset Information

Transcriptome-wide analysis of a baculovirus using nanopore sequencing.

ABSTRACT: Autographa californica multiple nucleopolyhedrovirus (AcMNPV) is a prototypic baculovirus infecting specific insects. AcMNPV contains a large double-stranded DNA genome encoding a complex transcriptome. This virus has a widespread application as a vector for the expression of heterologous proteins. Here, we present a dataset, derived from Oxford Nanopore Technologies (ONT) long-read sequencing platform. We used both cDNA and direct RNA sequencing techniques. The dataset contains 520,310 AcMNPV and 1,309,481 host cell reads using the regular cDNA-sequencing method of ONT technique, whereas altogether 6,456 reads were produced by using direct RNA-sequencing. We also used a Cap-selection protocol for certain ONT samples, and obtained 2,568,669 reads by using this method. The raw reads were aligned to the AcMNPV reference genome (KM667940.1). Here, we openly released the 'static' and the dynamic transcript catalogue of AcMNPV. This dataset can be used for deep analyses of the transcriptomic and epitranscriptomic patterns of the AcMNPV and the host cell. The data can be also useful for the validation of different bioinformatics software packages and analysis tools.

SUBMITTER: Boldogkoi Z

PROVIDER: S-EPMC6278695 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Transcriptome-wide analysis of a baculovirus using nanopore sequencing.

Boldogkői Zsolt Z Moldován Norbert N Szűcs Attila A Tombácz Dóra D

Scientific data 20181204

Autographa californica multiple nucleopolyhedrovirus (AcMNPV) is a prototypic baculovirus infecting specific insects. AcMNPV contains a large double-stranded DNA genome encoding a complex transcriptome. This virus has a widespread application as a vector for the expression of heterologous proteins. Here, we present a dataset, derived from Oxford Nanopore Technologies (ONT) long-read sequencing platform. We used both cDNA and direct RNA sequencing techniques. The dataset contains 520,310 AcMNPV a ...[more]

PMID: 30512018

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Project description:Transcriptome profiling is a mainstay of translational cancer research and is increasingly finding its way into precision oncology. While bulk RNA sequencing (RNA-seq) is widely available, high investment costs and long data return time are limiting factors for clinical applications. We investigated a portable nanopore long-read sequencing device (MinION, Oxford Nanopore Technologies) for transcriptome profiling of tumors. In particular, we investigated the impact of lower coverage than that of larger sequencing devices by comparing shallow nanopore RNA-seq data with short-read RNA-seq data generated using reversible dye terminator technology (Illumina) for ten samples representing four cancer types. Coupled with ShaNTi (Shallow Nanopore sequencing for Transcriptomics), a newly developed data processing pipeline, a turnaround time of five days was achieved. The correlation of normalized gene-level counts between nanopore and Illumina RNA-seq was high for MinION but not for very low-throughput Flongle flow cells (r = 0.89 and r = 0.24, respectively). A cost-saving approach based on multiplexing of four samples per MinION flow cell maintained a high correlation with Illumina data (r = 0.56-0.86). In addition, we compared the utility of nanopore and Illumina RNA-seq data for analysis tools commonly applied in translational oncology: (1) Shallow nanopore and Illumina RNA-seq were equally useful for inferring signaling pathway activities with PROGENy. (2) Highly expressed genes encoding kinases targeted by clinically approved small-molecule inhibitors were reliably identified by shallow nanopore RNA-seq. (3) In tumor microenvironment composition analysis, quanTIseq performed better than CIBERSORT, likely due to higher average expression of the gene set used for deconvolution. (4) Shallow nanopore RNA-seq was successfully applied to detect fusion genes using the JAFFAL pipeline. These findings suggest that shallow nanopore RNA-seq enables rapid and biologically meaningful transcriptome profiling of tumors, and warrants further exploration in precision cancer medicine studies.

Dataset Information

Transcriptome-wide analysis of a baculovirus using nanopore sequencing.

Publications

Transcriptome-wide analysis of a baculovirus using nanopore sequencing.

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