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

Berend Snijder, Raphael Sacher, Pauli Rämö, Eva-Maria Damm, Prisca Liberali and Lucas Pelkmans ()
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Berend Snijder: Institute of Molecular Systems Biology, ETH Zurich (Swiss Federal Institute of Technology), Wolfgang Pauli-Strasse 16, CH-8093 Zurich, Switzerland
Raphael Sacher: Institute of Molecular Systems Biology, ETH Zurich (Swiss Federal Institute of Technology), Wolfgang Pauli-Strasse 16, CH-8093 Zurich, Switzerland
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

Nature, 2009, vol. 461, issue 7263, 520-523

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.

Date: 2009
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DOI: 10.1038/nature08282

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