Michael J. Ziller

scRBP infers cell-specific RNA-binding protein regulons from single-cell transcriptomes, resolving targets at gene and isoform levels and linking genetic risk to disease.

The paper identifies a schizophrenia-specific alternative splicing program in cortical brain organoids that responds to clozapine treatment.

The paper identifies polygenic score differences between antidepressant responders and difficult-to-treat depression groups in the AGDS:Cell-o cohort, suggesting biological distinctions and potential for early stratification.

The paper identifies amacrine cells as enriched in schizophrenia genetic risk and links this to synaptic biology, while finding retinal immune cells associated with multiple sclerosis.

The paper identifies molecular and anatomical diversity in human cortical astrocytes and links adversity and glucocorticoid signalling to glutamate-related synaptic dysfunction in psychiatric disorders.

This study identifies alternative polyadenylation (APA) as a molecular mechanism linking polygenic risk for schizophrenia to synaptic impairments through functional analysis in induced neurons.

The paper functionally annotates schizophrenia-associated non-coding variants by identifying cell type and condition specific molecular functions and target genes.

The paper identifies a novel tripartite CRH circuit connecting extended amygdala and basal ganglia that drives arousal and avoidance behaviour through CRH receptor 1 in the substantia nigra.

The paper identifies human-specific enrichment of schizophrenia risk genes in callosal neurons of the developing neocortex using comparative transcriptomic analysis across species and developmental stages.

The paper investigates how psychiatric disease and aging affect FKBP5 expression in the human brain, identifying supragranular neurons as key targets.

This study identifies temporally divergent regulatory mechanisms in neuronal development and maturation across mouse and marmoset neocortex.

The paper analyzes MYOD-mediated reprogramming of human fibroblasts using single-cell RNA-Seq to identify molecular determinants of reprogramming success and failure.