Exploring differential exon usage via short- and long-read RNA sequencing strategies. Issue 9 (28th September 2022)

• Record Type: Journal Article
• Authors: Leshkowitz, Dena; Kedmi, Merav; Fried, Yael; Pilzer, David; Keren-Shaul, Hadas; Ainbinder, Elena; Dassa, Bareket
• Is Part Of: Open biology. Volume 12:Issue 9(2022)
• Publication Date: 2022-09-28
• Subjects: alternative splicing -- differential exon usage -- long-reads -- short-reads -- embryonic stem cell -- RNA-Seq; Biology -- Periodicals; 570
• DOI: 10.1098/rsob.220206
• Languages: English
• ISSNs: 2046-2441

Abstract

Abstract : Abstract : Alternative splicing produces various mRNAs, and thereby various protein products, from one gene, impacting a wide range of cellular activities. However, accurate reconstruction and quantification of full-length transcripts using short-reads is limited, due to their length. Long-reads sequencing technologies may provide a solution by sequencing full-length transcripts. We explored the use of both Illumina short-reads and two long Oxford Nanopore Technology (cDNA and Direct RNA) RNA-Seq reads for detecting global differential splicing during mouse embryonic stem cell differentiation, applying several bioinformatics strategies: gene-based, isoform-based and exon-based. We detected the strongest similarity among the sequencing platforms at the gene level compared to exon-based and isoform-based. Furthermore, the exon-based strategy discovered many differential exon usage (DEU) events, mostly in a platform-dependent manner and in non-differentially expressed genes. Thus, the platforms complemented each other in the ability to detect DEUs (i.e. long-reads exhibited an advantage in detecting DEUs at the UTRs, and short-reads detected more DEUs). Exons within 20 genes, detected in one or more platforms, were here validated by PCR, including key differentiation genes, such as Mdb3 and Aplp1. We provide an important analysis resource for discovering transcriptome changes during stem cell differentiation and insights for analysing such data.