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RNA sequencing: the teenage years.

Rory StarkMarta GrzelakJames Hadfield
Published in: Nature reviews. Genetics (2019)
Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for transcriptome-wide analysis of differential gene expression and differential splicing of mRNAs. However, as next-generation sequencing technologies have developed, so too has RNA-seq. Now, RNA-seq methods are available for studying many different aspects of RNA biology, including single-cell gene expression, translation (the translatome) and RNA structure (the structurome). Exciting new applications are being explored, such as spatial transcriptomics (spatialomics). Together with new long-read and direct RNA-seq technologies and better computational tools for data analysis, innovations in RNA-seq are contributing to a fuller understanding of RNA biology, from questions such as when and where transcription occurs to the folding and intermolecular interactions that govern RNA function.
Keyphrases
  • rna seq
  • single cell
  • gene expression
  • data analysis
  • high throughput
  • dna methylation
  • nucleic acid
  • single molecule
  • copy number