Communications Biology (Apr 2021)

Targeted transcriptome analysis using synthetic long read sequencing uncovers isoform reprograming in the progression of colon cancer

  • Silvia Liu,
  • Indira Wu,
  • Yan-Ping Yu,
  • Michael Balamotis,
  • Baoguo Ren,
  • Tuval Ben Yehezkel,
  • Jian-Hua Luo

DOI
https://doi.org/10.1038/s42003-021-02024-1
Journal volume & issue
Vol. 4, no. 1
pp. 1 – 11

Abstract

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Silvia Liu et al. present LoopSeq, a synthetic long-read sequencing method that generates accurate long-read transcriptome data from short Illumina reads. As an example of possible applications, they use LoopSeq to investigate differential isoform expression, isoform-specific single nucleotide variants, and potential fusion genes in multiple stages of colon cancer. Altogether, LoopSeq is a valuable method for analyzing complex transcriptomes and investigating gene expression at the isoform level.