Publications by authors named "Fabiana Tedeschi"

Resource competition can be the cause of unintended coupling between co-expressed genetic constructs. Here we report the quantification of the resource load imposed by different mammalian genetic components and identify construct designs with increased performance and reduced resource footprint. We use these to generate improved synthetic circuits and optimise the co-expression of transfected cassettes, shedding light on how this can be useful for bioproduction and biotherapeutic applications.

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Article Synopsis
  • Competition for cellular resources can impact the interaction of co-expressed genes, making gene circuits less predictable in mammalian cells.
  • Researchers found that downregulation of certain genes by microRNAs can lead to the upregulation of other co-expressed genes, suggesting a change in how resources are allocated within the cell.
  • By creating a synthetic genetic system and a mathematical model called MIRELLA, the study reveals that this gene interplay is influenced by ribosome movement and RNA degradation processes, providing new insights for designing genetic circuits that can adapt based on resource availability.
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Article Synopsis
  • Designing genetic networks in mammalian cells is challenging due to competition for limited resources, leading to unpredictable outcomes.
  • The study introduces a mathematical model that helps create miRNA-based circuits to reduce the burden of gene expression.
  • These engineered circuits use natural miRNAs and can work efficiently across various cell lines, improving the design and function of synthetic constructs in living organisms.
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The favorable outcome of in vivo and ex vivo gene therapy approaches in several Lysosomal Storage Diseases suggests that these treatment strategies might equally benefit GM2 gangliosidosis. Tay-Sachs and Sandhoff disease (the main forms of GM2 gangliosidosis) result from mutations in either the HEXA or HEXB genes encoding, respectively, the α- or β-subunits of the lysosomal β-Hexosaminidase enzyme. In physiological conditions, α- and β-subunits combine to generate β-Hexosaminidase A (HexA, αβ) and β-Hexosaminidase B (HexB, ββ).

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