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Population context determines cell-to-cell variability in endocytosis and virus infection

Author

Listed:
  • Berend Snijder

    (Institute of Molecular Systems Biology, ETH Zurich (Swiss Federal Institute of Technology), Wolfgang Pauli-Strasse 16, CH-8093 Zurich, Switzerland
    Zurich PhD Program in Molecular Life Sciences)

  • Raphael Sacher

    (Institute of Molecular Systems Biology, ETH Zurich (Swiss Federal Institute of Technology), Wolfgang Pauli-Strasse 16, CH-8093 Zurich, Switzerland
    Zurich PhD Program in Molecular Life Sciences)

  • Pauli Rämö

    (Institute of Molecular Systems Biology, ETH Zurich (Swiss Federal Institute of Technology), Wolfgang Pauli-Strasse 16, CH-8093 Zurich, Switzerland)

  • Eva-Maria Damm

    (Institute of Molecular Systems Biology, ETH Zurich (Swiss Federal Institute of Technology), Wolfgang Pauli-Strasse 16, CH-8093 Zurich, Switzerland)

  • Prisca Liberali

    (Institute of Molecular Systems Biology, ETH Zurich (Swiss Federal Institute of Technology), Wolfgang Pauli-Strasse 16, CH-8093 Zurich, Switzerland)

  • Lucas Pelkmans

    (Institute of Molecular Systems Biology, ETH Zurich (Swiss Federal Institute of Technology), Wolfgang Pauli-Strasse 16, CH-8093 Zurich, Switzerland)

Abstract

Cells with a difference Susceptibility to drug treatment or viral infection can vary from one cell to another even in a population of genetically identical cells cultured together. Such heterogeneity has largely been attributed to intrinsic noise such as variability in gene expression or fluctuations in levels of signalling molecules. Now Snijder et al. have looked quantitatively at large populations of co-cultured cells and they find deterministic links between fundamental cellular features (for example, membrane lipid composition or infectivity by some but not other viruses) and a cell's population context (whether localized at the centre or at the periphery of an island of adhering cells, for instance). The computer-assisted methods used to assess cell populations in this work may also find application in drug screens.

Suggested Citation

  • Berend Snijder & Raphael Sacher & Pauli Rämö & Eva-Maria Damm & Prisca Liberali & Lucas Pelkmans, 2009. "Population context determines cell-to-cell variability in endocytosis and virus infection," Nature, Nature, vol. 461(7263), pages 520-523, September.
    • Handle: RePEc:nat:nature:v:461:y:2009:i:7263:d:10.1038_nature08282
    DOI: 10.1038/nature08282
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    Cited by:

    1. Maija K. Pietilä & Jana J. Bachmann & Janne Ravantti & Lucas Pelkmans & Cornel Fraefel, 2023. "Cellular state landscape and herpes simplex virus type 1 infection progression are connected," Nature Communications, Nature, vol. 14(1), pages 1-20, December.

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