TY - JOUR
T1 - Full-length single-cell RNA-seq applied to a viral human cancer
T2 - Applications to HPV expression and splicing analysis in HeLa S3 cells
AU - Wu, Liang
AU - Zhang, Xiaolong
AU - Zhao, Zhikun
AU - Wang, Ling
AU - Li, Bo
AU - Li, Guibo
AU - Dean, Michael
AU - Yu, Qichao
AU - Wang, Yanhui
AU - Lin, Xinxin
AU - Rao, Weijian
AU - Mei, Zhanlong
AU - Li, Yang
AU - Jiang, Runze
AU - Yang, Huan
AU - Li, Fuqiang
AU - Xie, Guoyun
AU - Xu, Liqin
AU - Wu, Kui
AU - Zhang, Jie
AU - Chen, Jianghao
AU - Wang, Ting
AU - Kristiansen, Karsten
AU - Zhang, Xiuqing
AU - Li, Yingrui
AU - Yang, Huanming
AU - Wang, Jian
AU - Hou, Yong
AU - Xu, Xun
N1 - Publisher Copyright:
© 2015 Wu et al.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Cancer
KW - HPV
KW - HeLa
KW - RNA splicing
KW - Single-cell transcriptome
KW - Tumor heterogeneity
KW - Virus
UR - https://www.scopus.com/pages/publications/84979527217
U2 - 10.1186/s13742-015-0091-4
DO - 10.1186/s13742-015-0091-4
M3 - 文章
C2 - 26550473
AN - SCOPUS:84979527217
SN - 2047-217X
VL - 4
JO - GigaScience
JF - GigaScience
IS - 1
M1 - 51
ER -