Phillip Bohn

The paper integrates transcriptomic, morphological, and electrophysiological data to define neuron types in mouse visual cortex and predict their projection targets.

This study uses multimodal Patch-seq data to show that gene expression gradients in mouse basal ganglia neurons correlate with spatial location, physiology, and morphology.

This paper designs a de novo Tie2 binder that activates the Angiopoietin-Tie2 pathway without integrin engagement, showing improved therapeutic potential in a mouse model of ARDS.

The paper presents a synaptic physiology dataset and analysis platform to study cortical microcircuit structure and synaptic properties in mouse and human neocortex, revealing layer-dependent connectivity and subclass-specific dynamics.

This study identifies the anatomical composition and connectivity patterns of the mouse default mode network at the regional, layer, and cell-class levels.

The paper identifies 27 transcriptomic cell types in mouse subiculum and prosubiculum, defines their anatomical boundaries, and reveals distinct neural circuits and projections along the dorsal-ventral axis.

The paper expands the Allen Mouse Brain Connectivity Atlas by analyzing intracortical connections at the layer and cell class level, revealing modular organization and distinct projection patterns.

The paper uses whole brain imaging to compare amyloid beta deposition patterns in three Alzheimer's disease mouse models, revealing distinct spatial distributions across brain regions.