Sarah Guiziou

The paper develops a workflow combining robotics, nanopore sequencing, and computational tools to characterize recombinase-based genetic circuits efficiently and at high resolution.

The paper designs a new T-DNA vector for Arabidopsis thaliana that enables predictable, single-copy transgene integration with reduced genome instability and silencing.

The paper introduces a history-dependent integrase recorder to track gene expression in Arabidopsis thaliana with single-cell resolution during development.

This paper develops an integrase toolbox to record gene-expression during plant development by using orthogonal serine integrases and fluorescent reporters.

This paper presents systematic and automated frameworks for implementing robust history-dependent genetic programs in cellular populations.

The paper explores the design space of recombinase-based logic circuits by generating and analyzing millions of designs to identify effective architectures for implementing logic functions.

This paper presents a framework for building reliable recombinase logic devices using hierarchical composition of optimized switches, enabling up to 4-input Boolean logic control of cellular behavior.

This paper presents scalable frameworks for designing multicellular consortia that perform Boolean and history-dependent logic using recombinase-based systems, without requiring cell-cell communication or spatial separation.

The paper develops an analytic framework to study stochastic dynamics of binary biological switches and identifies two operating regimes with distinct distribution patterns.