Lucas T. Graybuck

This study investigates the molecular effects of RVd therapy on T cells using TEA-seq, revealing how individual and sequential drug administration impacts T cell function and states.

This study identifies hepatic γδ NKT cells as modulators of liver-resident CD8+ T cell responses in malaria vaccine efficacy, showing their role in protection through IFNγ production and tissue-homing properties.

The paper identifies diverse human antibody-secreting cell subsets using multi-omic methods and shows their distinct functional and spatial characteristics.

This study shows how multiple myeloma and its treatment alter the bone marrow niche, impairing immune reconstitution and vaccine responses, with mRNA vaccines showing better efficacy than influenza vaccines.

The paper creates a cell-type-specific IFN response atlas to distinguish IFN-I and IFN-II activities in human immune cells across diseases.

This study uses multi-omic profiling to analyze immune cell dynamics in healthy adults over time, finding age-related transcriptional changes in T cells and impaired memory B cell responses in older adults.

The paper identifies immune alterations preceding rheumatoid arthritis onset and provides tools for dataset exploration.

The paper develops a toolkit of transgenic mouse lines and enhancer AAVs for selective targeting of cortical cell populations using transcriptomic and epigenomic data.

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

The paper identifies conserved and divergent morpho-electric and transcriptomic properties of human and rodent layer 5 extratelencephalic-projecting neurons using patch-seq in human brain slices.

The paper uses single-cell RNA-seq to analyze relay neurons in the dLGN across species, finding subtle transcriptomic differences compared to morphological and functional distinctions.

This study defines a comprehensive transcriptomic cell type taxonomy of the adult mouse isocortex and hippocampal formation using single-cell RNA-sequencing.

The paper characterizes transcriptomic and physiological properties of GABAergic cortical neurons in mice, identifying 20 interneuron met-types with consistent features across modalities.

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 develops enhancer viruses and a transgenic mouse line to enable combinatorial labeling of specific neuronal subclasses in the mouse cortex and human slices.

The paper identifies transcriptomic diversity in human supragranular neurons and links it to functional specialization and disease vulnerability.

The paper identifies enhancer elements that drive subclass-specific gene expression in neocortex across mouse, primate, and human species using comparative epigenetics and AAV-based functional assays.

The paper analyzes single-cell RNA-seq data from mouse neocortical neurons to identify widespread neuropeptide signaling networks across all cortical neurons.

The paper shows that G-quadruplexes bind heme in vitro and that displacing heme from quadruplexes increases heme degradation gene expression in human cells.

The paper compares cell types in human and mouse cortex using single nucleus RNA-sequencing, finding conserved architecture with species-specific differences.

The paper shows that single-nucleus and single-cell RNA-seq can equally identify neuronal cell types in mouse visual cortex when intronic sequences are included.

The paper identifies two types of motor cortex neurons with distinct roles in movement preparation and execution using single-cell profiling and axonal reconstructions.

The paper identifies shared and distinct transcriptomic cell types in two mouse neocortical regions using scRNA-seq, showing most excitatory types are region-specific while inhibitory types are shared.

The paper introduces SPLiT-seq, a scalable scRNA-seq method, and applies it to analyze 109,069 cells from a mouse brain, identifying 13 main cell populations and developmental substructures.

The paper introduces a new set of transgenic mouse lines for precise targeting and manipulation of brain cell types, enhancing genetic tools for neuroscience research.

This study examines mRNA and miRNA expression changes in Werner syndrome patient fibroblasts and WRN-depleted cells, revealing WRN's role in modulating G4 DNA-dependent transcription and distinct senescence-associated gene programs.