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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Viruses with RNA Genomes01:29

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RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
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Using Direct RNA Nanopore Sequencing to Deconvolute Viral Transcriptomes.

Daniel P Depledge1, Angus C Wilson2

  • 1Department of Medicine, New York University School of Medicine, New York, New York.

Current Protocols in Microbiology
|April 8, 2020
PubMed
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Long-read nanopore sequencing offers a streamlined method for analyzing complex viral transcriptomes. This approach simplifies RNA analysis, enabling a comprehensive understanding of viral replication and host interactions.

Keywords:
DNA virusRNA sequencingannotationherpesvirusnanoporeviral transcriptome

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Area of Science:

  • Virology
  • Genomics
  • Molecular Biology

Background:

  • Viral genomes encode complex transcriptomes crucial for replication and host interaction.
  • Short-read sequencing faces challenges in analyzing overlapping viral transcripts and introduces biases.
  • Analyzing 5' and 3' RNA ends often requires separate, costly methodologies.

Purpose of the Study:

  • To present a simplified method for full-length viral RNA sequencing using direct RNA sequencing (dRNA-seq).
  • To provide a guide for generating and analyzing direct RNA sequencing libraries from virus-infected cells.
  • To enable comprehensive annotation of viral transcriptomes, including modifications and poly(A) tail lengths.

Main Methods:

  • Utilizing direct RNA sequencing (dRNA-seq) with Oxford Nanopore Technologies on herpes simplex virus (HSV)-infected cells.
  • Preparing and sequencing dRNA-seq libraries from native RNA to minimize recoding biases.
  • Developing computational methods for processing, aligning, and analyzing dRNA-seq datasets for transcriptome annotation.

Main Results:

  • Demonstrated the feasibility of dRNA-seq for full-length viral RNA analysis in a single assay.
  • Successfully generated high-quality annotation of the HSV transcriptome.
  • Enabled advanced analyses like poly(A) tail length estimation and RNA modification detection.

Conclusions:

  • Direct RNA sequencing provides a powerful, unbiased approach to characterizing viral transcriptomes.
  • This method simplifies the study of viral RNA complexity and host interactions.
  • The provided protocols facilitate comprehensive viral transcriptome analysis.