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Genome-wide profiling of polyadenylation sites reveals a link between selective polyadenylation and cancer metastasis

  • Deng Pan Lai
  • , Sheng Tan
  • , Ya Ni Kang
  • , Jun Wu
  • , Hong Sain Ooi
  • , Jian Chen
  • , Ting Ting Shen
  • , Ying Qi
  • , Xiaoli Zhang
  • , Yan Guo
  • , Tao Zhu
  • , Bingya Liu
  • , Zhifeng Shao
  • , Xiaodong Zhao*
  • *Corresponding author for this work
  • Shanghai Jiao Tong University
  • University of Science and Technology of China
  • Aarhus University

Research output: Contribution to journal › Article › peer-review

Abstract

Alternative polyadenylation (APA) is an important post-transcriptional modification implicated in many diseases, including cancer. Although extensively characterized, the functional consequence of APA modulation on tumorigenesis remains elusive. Here, we developed a deep sequencing-based approach that specifically profiles 3' termini of polyadenylated RNAs (herein termed 3T-seq) and analyzed APA events in two gastric cancer cell lines and one non-transformed counterpart. Overall, we identified ≥28 000 poly(A) sites, 70% of which are potentially novel. Further, we observed widespread APA-mediated 3' UTR shortening of 513 genes (false discovery rate ≤ 0.05) across gastric cancer genome.We characterized one of these genes, NET1, in detail and found that the shortening of NET1 3' UTR significantly enhances transcriptional activity. Moreover, the NET1 isoform with short 3' UTR promotes cellular migration and invasion in vitro. Collectively, our work provides an effective approach for genome-wide APA site profiling and reveals a link between APA modulation and gastric cancer metastasis.

Original languageEnglish
Article numberddv089
Pages (from-to)3410-3417
Number of pages8
JournalHuman Molecular Genetics
Volume24
Issue number12
DOIs
StatePublished - 18 Jan 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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