Luis U. Aguilera

The paper develops coTFT, a live-cell imaging method to track translation and folding, showing bidirectional coupling between them.

The paper develops a cysteine-free UTag system for live-cell single-mRNA translation tracking, showing improved thermostability and performance comparable to existing systems.

MicroLive is an open-source image processing tool for live-cell single-molecule microscopy that provides GUI-based quantification of key imaging tasks.

This paper develops a sequential experiment design strategy to efficiently identify discrete stochastic models for gene expression using single-cell data.

The paper uses single-cell experiments and stochastic modeling to uncover mechanisms of GR dynamics and DUSP1 transcription regulation in response to glucocorticoids.

This paper proposes a hybrid computational pipeline combining mechanistic models and machine learning to design single-color multiplexed Nascent Chain Tracking experiments capable of resolving multiple mRNA species.

The paper proposes a computational framework to analyze single-cell experiments and optimize design to extract fluctuation information while reducing measurement noise.

The paper develops a computational model to simulate single-RNA translation dynamics and evaluates experimental assays for estimating elongation kinetics.