Huiqing Zhan

The paper introduces Seq-o-Matic, an open-source automated in situ sequencer that reduces hands-on time and improves sequencing consistency across tissue sections.

The paper uses single-cell projection mapping in mice and marmosets to show that thalamocortical projections are spatially segregated in marmosets but follow a conserved gradient in both species.

The paper introduces axonal BARseq, a high-throughput method for mapping single-neuron projections in the brain, and demonstrates its application in mapping over 8,000 mouse auditory cortex neurons from a single brain.

The paper identifies a 200% expansion of orofacial motor cortical projections to auditory and midbrain regions in singing mice, suggesting a mechanism for vocal behavior evolution.

The paper identifies a class of spontaneously regenerative corticospinal neurons in mice that project ipsilaterally and share molecular features with embryonic-like regenerating neurons.

The paper uses MAPseq to analyze BLA neuron projections in macaques, finding that many neurons project to multiple brain regions and form structured networks.

The paper uses high-throughput sequencing to analyze neuronal projections in the mouse olfactory system and finds structured connectivity along the anterior-posterior axis.

The paper provides a detailed cellular-resolution map of the mouse primary motor cortex, defining cell types and their connectivity.

The paper introduces BARseq, a method for high-throughput mapping of neuronal projections in the mouse auditory cortex, revealing novel projection types in specific cell subtypes.

SYNPLA identifies learning-induced synaptic plasticity loci by detecting circuit-specific changes in synaptic strength.

The paper describes a computational framework to convert high-throughput DNA sequencing data into neural circuit connectivity using BOINC and applies it to pseudorabies virus experiments.