Megan N. McClean

Dynamic Multiplexed Control and Modeling of Optogenetic Systems Using the High-Throughput Optogenetic Platform, Lustro

The paper develops a high-throughput optogenetic platform combined with machine learning to enable multiplexed control of light-sensitive transcription factors in yeast.

Lustro: High-throughput optogenetic experiments enabled by automation and a yeast optogenetic toolkit

The paper introduces a high-throughput method for designing and testing optogenetic systems in yeast using automation and a modular toolkit.

Transcription Factor Localization Dynamics and DNA Binding Drive Distinct Promoter Interpretations

The paper investigates how yeast promoters decode the light-controlled localization dynamics of the TF Msn2 and shows that promoter-dependent effects of changing Msn2 DNA binding affinity influence gene expression.

Strain dependent differences in coordination of yeast signaling networks

This study compares two yeast strains to show how genetic variation affects signaling network coordination between the HOG and mating pathways.

Modeling single-cell phenotypes links yeast stress acclimation to transcriptional repression and pre-stress cellular states

The paper models single-cell phenotypes in yeast to show that transcriptional repression during stress improves post-stress growth recovery.

A yeast optogenetic toolkit (yOTK) for gene expression control in Saccharomyces cerevisiae

The paper develops an optogenetic toolkit for controlling gene expression in yeast by using light to modulate synthetic transcription factors.

Single-cell RNA-seq reveals intrinsic and extrinsic regulatory heterogeneity in yeast responding to stress

The paper uses single-cell RNA-seq to study stress response heterogeneity in yeast, finding regulatory variation and decoupled transcription-factor activation.