Mark J. Zylka

This study identifies molecular layer heterotopias and age-dependent cortical expansion in Chd8 haploinsufficient mice, linking them to neuronal migration defects and autism-related brain overgrowth.

The paper perturbs schizophrenia risk genes in mice to identify ciliary transcriptional programs as a potential downstream mechanism of disease.

CellPheno is a 3D nuclei segmentation tool for whole-brain microscopy that enables efficient morphometry and co-localization analysis across multiple cell types in mouse brains.

The paper uses CRISPR-Cas9 to edit the App gene in mice, reducing Alzheimer's disease symptoms and showing long-term benefits.

The paper identifies context-specific genetic effects on gene regulation in neural progenitors by stimulating the Wnt pathway and analyzing chromatin accessibility and gene expression.

The paper identifies a genetic locus on chr3p21.1 associated with lithium-induced neural progenitor proliferation and links it to bipolar disorder risk through the gene GNL3.

This study shows that ambient and core body temperature affect open field assay results in mice, with TRPM8 channel activity modulating these effects.

The paper develops PainFace, a deep learning platform for automated mouse grimace scoring, showing it outperforms humans in speed and data generation, and identifies pain-related facial expressions.

The paper screens a chemical library to identify environmental chemicals that modulate Wnt signaling, finding diethanolamine as a stimulator with potential for prenatal exposure.

The paper introduces MiniMUGA, a genotyping array for mouse genetic QC, showing it effectively discriminates strains, detects genetic constructs, and identifies sex chromosome abnormalities.

NuMorph quantifies nuclei and nuclear markers in cleared mouse brain images, revealing gene deletion effects on cell-type distribution and brain morphology in two mouse models.

This study creates a single-cell transcriptomic catalog of mouse cortical development, revealing cell types, states, and their relationships, and linking gene expression to disease subtypes.