The role of gene expression noise in the evolution of gene regulation
Research Project | 01.04.2015 - 31.03.2019
|
01.04.2015
- 31.03.2019
Collaborations & Cooperations
2025 - Participation or Organization of Collaborations on an international level
Myers, Eugene, Max Planck Institute of Molecular Cell Biology and Genetics, Research cooperation
Funding
The role of gene expression noise in the evolution of gene regulation
SNF Projekt (GrantsTool), 04.2015-03.2018 (36)
PI : van Nimwegen, Erik.
Publications
Urchueguía, Arantxa et al. (2021) ‘Genome-wide gene expression noise in Escherichia coli is condition-dependent and determined by propagation of noise through the regulatory network’, PLoS Biology, 19(12), p. e3001491. Available at: https://doi.org/10.1371/journal.pbio.3001491.
Urchueguía, Arantxa et al. (2021) ‘Genome-wide gene expression noise in Escherichia coli is condition-dependent and determined by propagation of noise through the regulatory network’, PLoS Biology, 19(12), p. e3001491. Available at: https://doi.org/10.1371/journal.pbio.3001491.
Galbusera, Luca et al. (2020) ‘Using fluorescence flow cytometry data for single-cell gene expression analysis in bacteria’, PLoS ONE, 15(10), p. e0240233. Available at: https://doi.org/10.1371/journal.pone.0240233.
Galbusera, Luca et al. (2020) ‘Using fluorescence flow cytometry data for single-cell gene expression analysis in bacteria’, PLoS ONE, 15(10), p. e0240233. Available at: https://doi.org/10.1371/journal.pone.0240233.
Julou, Thomas et al. (2020) ‘Subpopulations of sensorless bacteria drive fitness in fluctuating environments’, PLoS biology, 18(12), p. e3000952. Available at: https://doi.org/10.1371/journal.pbio.3000952.
Julou, Thomas et al. (2020) ‘Subpopulations of sensorless bacteria drive fitness in fluctuating environments’, PLoS biology, 18(12), p. e3000952. Available at: https://doi.org/10.1371/journal.pbio.3000952.
Kaiser, Matthias et al. (2018) ‘Monitoring single-cell gene regulation under dynamically controllable conditions with integrated microfluidics and software’, Nature Communications, 9(1), p. 212. Available at: https://doi.org/10.1038/s41467-017-02505-0.
Kaiser, Matthias et al. (2018) ‘Monitoring single-cell gene regulation under dynamically controllable conditions with integrated microfluidics and software’, Nature Communications, 9(1), p. 212. Available at: https://doi.org/10.1038/s41467-017-02505-0.
Members (12)
Erik van Nimwegen
Principal Investigator
Théo Gervais
Project Member
Thomas Julou
Project Member
Anne Krämer
Project Member
Arantxa Urchueguia Fornes
Project Member
Athos Fiori
Project Member
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