Jonathan J. M. Landry

The paper introduces k4neo, a tool that computes tumor specificity of transcript variants by k-mer indexing of healthy tissue RNA-seq data, identifying tumor-specific antigens across multiple cancer cohorts.

This study shows that Kir potassium channels regulate input excitability in parvalbumin interneurons similarly in human and mouse, inhibiting them during postsynaptic potentials.

The paper identifies structural and molecular differences in the axon initial segment of human fast-spiking interneurons that lower firing thresholds and reduce input-output delay compared to mice.

The paper identifies importins that bind nascent proteins co-translationally in yeast, showing their role in preventing aggregation and integrating with ribosome-associated chaperones.

The paper develops an automated assay to analyze Golgi morphology and single-cell transcriptomes, revealing that late endosomal pathways compensate for Golgi disruption caused by USO1 knockdown.

The paper develops a method to screen drug combinations using single-cell transcriptome analysis, identifying synergistic and antagonistic pairs in K562 cells.

The paper identifies co-translational assembly domains in proteins that facilitate interactions between nascent chains and fully synthesized subunits, revealing their role in regulating complex assembly pathways.

The paper presents genome assemblies and gene predictions for Sf21 and Tni cell lines using multi-omics data, enabling improved use in protein expression and genome engineering.

This study uses cryo electron tomography and simulations to analyze the structure of SARS-CoV-2 spike protein in situ, revealing three hinges in the stalk domain that enable orientational flexibility.