Full-length single-cell RNA-seq applied to a viral human cancer: Applications to HPV expression and splicing analysis in HeLa S3 cells

  • Liang Wu
  • , Xiaolong Zhang
  • , Zhikun Zhao
  • , Ling Wang
  • , Bo Li
  • , Guibo Li
  • , Michael Dean
  • , Qichao Yu
  • , Yanhui Wang
  • , Xinxin Lin
  • , Weijian Rao
  • , Zhanlong Mei
  • , Yang Li
  • , Runze Jiang
  • , Huan Yang
  • , Fuqiang Li
  • , Guoyun Xie
  • , Liqin Xu
  • , Kui Wu
  • , Jie Zhang
  • Jianghao Chen, Ting Wang, Karsten Kristiansen, Xiuqing Zhang, Yingrui Li, Huanming Yang, Jian Wang, Yong Hou, Xun Xu

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

Background: Viral infection causes multiple forms of human cancer, and HPV infection is the primary factor in cervical carcinomas Recent single-cell RNA-seq studies highlight the tumor heterogeneity present in most cancers, but virally induced tumors have not been studied HeLa is a well characterized HPV+ cervical cancer cell line Result: We developed a new high throughput platform to prepare single-cell RNA on a nanoliter scale based on a customized microwell chip Using this method, we successfully amplified full-length transcripts of 669 single HeLa S3 cells and 40 of them were randomly selected to perform single-cell RNA sequencing Based on these data, we obtained a comprehensive understanding of the heterogeneity of HeLa S3 cells in gene expression, alternative splicing and fusions Furthermore, we identified a high diversity of HPV-18 expression and splicing at the single-cell level By co-expression analysis we identified 283 E6, E7 co-regulated genes, including CDC25, PCNA, PLK4, BUB1B and IRF1 known to interact with HPV viral proteins Conclusion: Our results reveal the heterogeneity of a virus-infected cell line It not only provides a transcriptome characterization of HeLa S3 cells at the single cell level, but is a demonstration of the power of single cell RNA-seq analysis of virally infected cells and cancers.

Original languageEnglish
Article number51
JournalGigaScience
Volume4
Issue number1
DOIs
StatePublished - 2015
Externally publishedYes

Keywords

  • Cancer
  • HPV
  • HeLa
  • RNA splicing
  • Single-cell transcriptome
  • Tumor heterogeneity
  • Virus

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