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Showing 1–9 of 9 results
Advanced filters: Author: Gábor Balázsi Clear advanced filters

  • Lowering the levels of disease-promoting proteins is generally assumed to be beneficial. The authors developed a two-step strategy to integrate protein-level tuning, noise-aware synthetic gene circuits into a well-defined human genomic locus. This approach was used to study the effect of BACH1 levels on MDA-MB-231 human breast metastatic cells.

    • Yiming Wan
    • Joseph Cohen
    • Gábor Balázsi
    ResearchOpen Access
    Nature Chemical Biology
    Volume: 19, P: 887-899

  • The role of gene expression noise in the evolution of drug resistance in mammalian cells is unclear. Here, by uncoupling noise from mean expression of a drug resistance gene in CHO cells the authors show that noisy expression aids adaptation to high drug levels, but delays it at low drug levels.

    • Kevin S. Farquhar
    • Daniel A. Charlebois
    • Gábor Balázsi
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-14

  • The mechanisms facilitating evolutionary adaptation to future challenges are difficult to establish experimentally. Recent computational simulations of 200 cell populations indicate how evolution can hide useless genetic switches with capacity for later use.

    • Gábor Balázsi
    News & Views
    Nature Computational Science
    Volume: 1, P: 18-19

  • The bacteriophage lambda and its hostEscherichia coli provide a model system to study cell-fate decisions. Here, Trinh et al. develop a four-colour fluorescence system at the single-cell/single-virus/single-viral-DNA level and find phages cooperate during lysogenization and compete during lysis.

    • Jimmy T. Trinh
    • Tamás Székely
    • Lanying Zeng
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-13

  • Gene circuits created by synthetic biologists working in one system may not be functional when transferred to a different organism. Using computational modelling to identify factors underlying such differences, the authors successfully adapt a yeast ‘linearizer’ circuit so that it functions in mammalian cells.

    • Dmitry Nevozhay
    • Tomasz Zal
    • Gábor Balázsi
    Research
    Nature Communications
    Volume: 4, P: 1-11

  • Sigma factors are regulatory proteins that reprogram the bacterial RNA polymerase in response to stress conditions to transcribe certain genes, including those for other sigma factors. Here, Chauhan et al. describe the complete sigma factor regulatory network of the pathogen Mycobacterium tuberculosis.

    • Rinki Chauhan
    • Janani Ravi
    • Maria Laura Gennaro
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-12

  • Non-transcriptional events can have a large effect on the dynamics of regulatory processes. Here, Ray, Tabor and Igoshin describe how post-transcriptional and post-translational events can affect the performance of regulatory processes in bacteria.

    • J. Christian J. Ray
    • Jeffrey J. Tabor
    • Oleg A. Igoshin
    Reviews
    Nature Reviews Microbiology
    Volume: 9, P: 817-828