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Long-read RNA sequencing: A transformative technology for exploring transcriptome complexity in human diseases

Isabelle Heifetz Ament, Nicole DeBruyne, Feng Wang, Lan Lin

2024Molecular Therapy47 citationsDOIOpen Access PDF

Abstract

Long-read RNA sequencing (RNA-seq) is emerging as a powerful and versatile technology for studying human transcriptomes. By enabling the end-to-end sequencing of full-length transcripts, long-read RNA-seq opens up avenues for investigating various RNA species and features that cannot be reliably interrogated by standard short-read RNA-seq methods. In this review, we present an overview of long-read RNA-seq, delineating its strengths over short-read RNA-seq, as well as summarizing recent advances in experimental and computational approaches to boost the power of long-read-based transcriptomics. We describe a wide range of applications of long-read RNA-seq, and highlight its expanding role as a foundational technology for exploring transcriptome variations in human diseases.

Topics & Concepts

TranscriptomeRNARNA-SeqComputational biologyBiologyTransformative learningComputer scienceGeneticsGeneGene expressionPedagogyPsychologyCancer-related molecular mechanisms researchRNA modifications and cancerGenomics and Phylogenetic Studies