Lauren M. Saunders

This study investigates phyB photobodies, showing they form molecular memory through phase separation, influencing light signaling and transcriptional states in plant cells.

The paper maps heterochrony in zebrafish and medaka using single-cell genomics, revealing cell-level timing shifts that contribute to species-specific phenotypes.

The paper uses single-cell RNA-seq to study signaling pathway dependencies in zebrafish pectoral fin development, identifying new cell types and signaling relationships.

The paper identifies an X-Y translocation in Four-Core Genotypes mice that increases Tlr7 expression and affects genetic interpretation.

The paper uses a combined single-cell genetic and chemical screening platform to analyze kinase dependencies in glioblastoma response to targeted therapy, identifying adaptive signaling and potential combination therapies.

The paper uses single-cell RNA-seq to study temperature sensitivity in zebrafish embryos, finding that notochord sheath cells are particularly vulnerable due to protein misfolding.

The paper uses single-cell transcriptomics to study zebrafish skin development, identifying new cell types and signaling mechanisms involved in pigment pattern and scale formation.

The paper uses single-cell RNA sequencing to analyze zebrafish inner ear cells, identifying distinct hair cell and supporting cell subtypes and their spatial organization.

The paper presents single cell transcriptomic data from zebrafish embryos with genetic perturbations to analyze developmental variation and cell type composition.

The paper uses single-cell RNA sequencing to systematically phenotype mouse genetic models, identifying molecular and cellular changes across multiple mutants and wildtypes.

This study shows thyroid hormone regulates dermal development and scale formation in zebrafish through nuclear hormone receptors, coupling skin growth with body size.

The paper applies UMAP to visualize genetic interactions in yeast transcriptome data, identifying protein complexes and novel interactions.

This paper introduces Scribe, a toolkit for causal gene regulatory network inference from single-cell data, showing that pseudotime data performs worse than true time series data.

This paper creates a single-cell transcriptome atlas of zebrafish development, identifying 220 cell clusters and providing gene expression insights across four days of development.

The paper investigates how thyroid hormone regulates different maturation paths in zebrafish pigment cell lineages through transcriptomic profiling and trajectory analysis.

The paper identifies two distinct leucophore populations in zebrafish, showing their different origins and functional roles through single-cell transcriptomics and other analyses.

This study uses single-cell RNA-seq to analyze gene expression in A. thaliana root cells, identifying cell-type-specific genes and developmental trajectories, and shows cell-type differences in heat stress responses.