RNA-Seq methods for transcriptome analysis

By R. Hrdličková, M. Toloue, Bin Tian. Wiley Interdisciplinary Reviews - RNA, 2016

641 citations recorded by the source corpus.

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

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/945cad04c30933f9e7077dec1cd634de92096a9e

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In Molecular Biology

1. Li Shen
2. Xiaofeng Dai

Citations in the corpus

• Advances and Trends in Omics Technology Development (2022, methodology): “Other approaches for fusion gene detection include RNA sequencing reads enrichment and exon capture (9).”