Michael W. Dorrity

A mobile optical coherence microscope for studying aquatic organisms in- and outside the laboratory

This paper introduces a mobile optical coherence microscope for high-resolution, label-free imaging of aquatic organisms in both lab and field settings, enabling detailed morphological and dynamic analysis.

Life-cycle trajectory inference links temperature-gated progenitors to reproductive fate

The paper uses single-cell transcriptomics to infer life-cycle trajectories in planarians, showing how temperature gates stem cell fate to determine reproductive strategies.

Quantitative mapping of heterochrony to species-specific phenotypes

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

A closed feedback between tissue phase transitions and morphogen gradients drives patterning dynamics

The paper shows how tissue rigidity phase transitions and Nodal morphogen gradients interact to drive patterning dynamics in zebrafish.

High-throughput single-cell CRISPRi screens stratify neurodevelopmental functions of schizophrenia-associated genes

The paper uses single-cell CRISPRi screens to functionally assess schizophrenia-associated genes, revealing disruptions in neurodevelopmental timing and identifying key regulatory factors.

Proteostasis governs differential temperature sensitivity across embryonic cell types

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.

Deep molecular, cellular and temporal phenotyping of developmental perturbations at whole organism scale

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

The regulatory landscape of Arabidopsis thaliana roots at single-cell resolution

This study uses single-cell ATAC-seq to analyze chromatin accessibility in Arabidopsis thaliana roots, revealing cell type-specific regulatory landscapes and integrating them with transcriptomes to infer gene regulatory networks.

Transcriptional re-wiring by mutation of the yeast Hsf1 oligomerization domain

The paper identifies mutations in the yeast Hsf1 oligomerization domain that alter transcriptional programs and fitness under heat stress.

Dimensionality reduction by UMAP to visualize physical and genetic interactions

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

High-throughput identification of dominant negative polypeptides in yeast

The paper identifies dominant negative polypeptides in yeast by analyzing DNA library depletion during cell growth using high-throughput sequencing.

Dynamics of gene expression in single root cells of A. thaliana

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.

Balance between mutually exclusive traits shifted by variants of a yeast transcription factor

The paper identifies DNA-binding preferences of Ste12 in yeast and shows how mutations shift its preference toward mating or invasion.

Regulatory DNA in A. thaliana can tolerate high levels of sequence divergence

The paper examines regulatory DNA variation in Arabidopsis thaliana, finding that chromatin accessibility differences often correlate with gene expression changes despite limited sequence variation.