Synthetic macromolecular switches for precision control of therapeutic cell functions

Teixeira, Ana Palma; Fussenegger, Martin

doi:10.1038/s44222-024-00235-9

Nat Rev Bioeng

2024

DOI: 10.1038/s44222-024-00235-9

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Synthetic macromolecular switches for precision control of therapeutic cell functions

Ana Palma Teixeira,

Martin Fussenegger

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2024

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Quantitative design of cell type-specific mRNA stability from microRNA expression data

Oesinghaus,

Castillo-Hair,

Ludwig

et al. 2024

Preprint

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Limiting expression to target cell types is a longstanding goal in gene therapy, which could be met by sensing endogenous microRNA. However, an unclear association between microRNA expression and activity currently hampers such an approach. Here, we probe this relationship by measuring the stability of synthetic microRNA-responsive 3'UTRs across 10 cell lines in a library format. By systematically addressing biases in microRNA expression data and confounding factors such as microRNA crosstalk, we demonstrate that a straightforward model can quantitatively predict reporter stability purely from expression data. We use this model to design constructs with previously unattainable response patterns across our cell lines. The rules we derive for microRNA expression data selection and processing should apply to microRNA-responsive devices for any environment with available expression data.

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Quantitative design of cell type-specific mRNA stability from microRNA expression data

Oesinghaus,

Castillo-Hair,

Ludwig

et al. 2024

Preprint

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Synthetic macromolecular switches for precision control of therapeutic cell functions

Cited by 1 publication

References 185 publications

Quantitative design of cell type-specific mRNA stability from microRNA expression data

Quantitative design of cell type-specific mRNA stability from microRNA expression data

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