Multi-omic measurements of heterogeneity in HeLa cells across laboratories

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Yansheng Liu - , Yale University (Autor:in)
  • Yang Mi - , Universität Heidelberg, Rheinisch-Westfälische Technische Hochschule Aachen (Autor:in)
  • Torsten Mueller - , ETH Zürich (Autor:in)
  • Saskia Kreibich - , ETH Zürich (Autor:in)
  • Evan G. Williams - , ETH Zürich (Autor:in)
  • Audrey Van Drogen - , ETH Zürich (Autor:in)
  • Christelle Borel - , Universität Genf (Autor:in)
  • Max Frank - , ETH Zürich (Autor:in)
  • Pierre Luc Germain - , IRCCS Istituto Europeo di Oncologia - Milano (Autor:in)
  • Isabell Bludau - , ETH Zürich (Autor:in)
  • Martin Mehnert - , ETH Zürich (Autor:in)
  • Michael Seifert - , Institut für Medizinische Informatik und Biometrie, Nationales Centrum für Tumorerkrankungen Dresden (Autor:in)
  • Mario Emmenlauer - , Universität Basel (Autor:in)
  • Isabel Sorg - , Universität Basel (Autor:in)
  • Fedor Bezrukov - , Universität Genf (Autor:in)
  • Frederique Sloan Bena - , Universität Genf (Autor:in)
  • Hu Zhou - , CAS - Shanghai Institute of Materia Medica (Autor:in)
  • Christoph Dehio - , Universität Basel (Autor:in)
  • Giuseppe Testa - , IRCCS Istituto Europeo di Oncologia - Milano, Università degli Studi di Milano (Autor:in)
  • Julio Saez-Rodriguez - , Rheinisch-Westfälische Technische Hochschule Aachen, Universität Heidelberg (Autor:in)
  • Stylianos E. Antonarakis - , Universität Genf (Autor:in)
  • Wolf Dietrich Hardt - , ETH Zürich (Autor:in)
  • Ruedi Aebersold - , ETH Zürich, Universität Zürich (Autor:in)

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

OriginalspracheEnglisch
Seiten (von - bis)314-322
Seitenumfang9
FachzeitschriftNature biotechnology
Jahrgang37
Ausgabenummer3
PublikationsstatusVeröffentlicht - 1 März 2019
Peer-Review-StatusJa

Externe IDs

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

Schlagworte

Schlagwörter

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