Multi-omic measurements of heterogeneity in HeLa cells across laboratories

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Yansheng Liu - , Yale University (Author)
  • Yang Mi - , Heidelberg University , RWTH Aachen University (Author)
  • Torsten Mueller - , ETH Zurich (Author)
  • Saskia Kreibich - , ETH Zurich (Author)
  • Evan G. Williams - , ETH Zurich (Author)
  • Audrey Van Drogen - , ETH Zurich (Author)
  • Christelle Borel - , University of Geneva (Author)
  • Max Frank - , ETH Zurich (Author)
  • Pierre Luc Germain - , IRCCS Istituto Europeo di Oncologia - Milano (Author)
  • Isabell Bludau - , ETH Zurich (Author)
  • Martin Mehnert - , ETH Zurich (Author)
  • Michael Seifert - , Institute for Medical Informatics and Biometry, National Center for Tumor Diseases (Partners: UKD, MFD, HZDR, DKFZ) (Author)
  • Mario Emmenlauer - , University of Basel (Author)
  • Isabel Sorg - , University of Basel (Author)
  • Fedor Bezrukov - , University of Geneva (Author)
  • Frederique Sloan Bena - , University of Geneva (Author)
  • Hu Zhou - , CAS - Shanghai Institute of Materia Medica (Author)
  • Christoph Dehio - , University of Basel (Author)
  • Giuseppe Testa - , IRCCS Istituto Europeo di Oncologia - Milano, University of Milan (Author)
  • Julio Saez-Rodriguez - , RWTH Aachen University, Heidelberg University  (Author)
  • Stylianos E. Antonarakis - , University of Geneva, iGE3 Institute of Genetics and Genomics of Geneva (Author)
  • Wolf Dietrich Hardt - , ETH Zurich (Author)
  • Ruedi Aebersold - , ETH Zurich, University of Zurich (Author)

Abstract

Reproducibility in research can be compromised by both biological and technical variation, but most of the focus is on removing the latter. Here we investigate the effects of biological variation in HeLa cell lines using a systems-wide approach. We determine the degree of molecular and phenotypic variability across 14 stock HeLa samples from 13 international laboratories. We cultured cells in uniform conditions and profiled genome-wide copy numbers, mRNAs, proteins and protein turnover rates in each cell line. We discovered substantial heterogeneity between HeLa variants, especially between lines of the CCL2 and Kyoto varieties, and observed progressive divergence within a specific cell line over 50 successive passages. Genomic variability has a complex, nonlinear effect on transcriptome, proteome and protein turnover profiles, and proteotype patterns explain the varying phenotypic response of different cell lines to Salmonella infection. These findings have implications for the interpretation and reproducibility of research results obtained from human cultured cells.

Details

Original languageEnglish
Pages (from-to)314-322
Number of pages9
JournalNature biotechnology
Volume37
Issue number3
Publication statusPublished - 1 Mar 2019
Peer-reviewedYes

External IDs

Scopus 85061731215
ORCID /0000-0002-2844-053X/work/153655329

Keywords

Keywords

  • DNA Copy Number Variations/genetics, Genome, Human/genetics, Genomics/standards, HeLa Cells, Humans, Proteome/genetics, Reproducibility of Results, Transcriptome/genetics