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RNA‐Seq methods for transcriptome analysis

2016/05/19 by Radmila Hrdličková, Masoud Toloue, Bin Tian · 4 citations
Biochemistry, Genetics and Molecular Biology · #RNA modifications and cancer #RNA and protein synthesis mechanisms #RNA Research and Splicing

paper · doi:10.1002/wrna.1364

openalex publication_date 2016/05/19 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/31

Abstract

Deep sequencing has been revolutionizing biology and medicine in recent years, providing single base-level precision for our understanding of nucleic acid sequences in high throughput fashion. Sequencing of RNA, or RNA-Seq, is now a common method to analyze gene expression and to uncover novel RNA species. Aspects of RNA biogenesis and metabolism can be interrogated with specialized methods for cDNA library preparation. In this study, we review current RNA-Seq methods for general analysis of gene expression and several specific applications, including isoform and gene fusion detection, digital gene expression profiling, targeted sequencing and single-cell analysis. In addition, we discuss approaches to examine aspects of RNA in the cell, technical challenges of existing RNA-Seq methods, and future directions. WIREs RNA 2017, 8:e1364. doi: 10.1002/wrna.1364 For further resources related to this article, please visit the WIREs website.

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