Jonathan M. Werner

This study maps the spatiomolecular organization of the human habenula using multi-omic approaches, identifying molecular signatures and spatial domains linked to psychiatric disorders.

The paper identifies a Pax6 interneuron subclass in mice through cross-species transcriptomic analysis and highlights primate-specific divergence in the Sncg subclass.

Reprocessing nine human brain datasets (2,157,582 cells, 156 donors, GW6 to adulthood) under one marker-based taxonomy yields 35 replicable cell types with cell type-specific timing of adult-like maturation.

This paper develops an ancestrally inclusive patient-derived organoid platform for UCS that captures cancer cell plasticity and identifies therapeutic vulnerabilities.

The paper compiles a large transcriptomic dataset of neocortical development and uses joint matrix decomposition to identify conserved transcriptome dynamics across mammals and developmental stages.

The paper develops a cell type-agnostic model to predict developmental age from transcriptomes, achieving high accuracy across human brain datasets and organoids.

The paper measures XCI ratios across 9 mammalian species and finds stochasticity, not genetics, primarily explains XCI variability.

The paper quantifies how well neural organoids preserve primary tissue co-expression, showing they can achieve high fidelity in recapitulating fetal brain development.

The paper introduces the EN-TEx resource, which provides personal epigenomes and variant-impact models across multiple tissues, revealing allele-specific loci and their associations with GWAS loci.

The paper uses X-chromosome inactivation ratios across tissues to infer developmental timing and cell numbers during human lineage commitment.