Shannon J. Turley

The paper shows that blocking integrin αvβ8 suppresses TGFβ in tumor-draining lymph nodes and enhances DC-T cell activation, offering a new immunotherapy strategy distinct from TGFβ ligand blockade.

This study identifies fibroblast-derived TGF-β3 as a critical factor sustaining CD8+ TRM in barrier tissues and tumors, showing its role in survival and function.

This paper develops a platform for longitudinal imaging and transcriptomics of live cells, revealing adaptive drug-resistant states and key drivers of cellular function through integrated analysis.

This study uses dynamic caging to link live-cell behavior with transcriptional responses across perturbations, revealing new insights into immune and inflammatory gene regulation.

The paper identifies Grem1-expressing fibroblastic reticular cells as a source of FLT3L that supports dendritic cell homeostasis and function in lymph nodes.

Tangram2 maps cell-to-cell communication by integrating spatial transcriptomics with single-cell RNA sequencing to identify gene expression changes driven by neighboring cell types.

This study identifies spatially organized cDC1-T cell clusters within tumors as critical for enhancing CTL-mediated tumor rejection through local costimulation.

This study identifies Dpt+ fibroblasts as essential for maintaining a Csf1-dependent macrophage niche in skin, with implications for wound healing and scleroderma.

The paper identifies regulators of inflammatory macrophage states and shows that TNF mRNA m6A modification controls its stability and contributes to disease.

This study identifies Tmc3-expressing vagal ganglion neurons that regulate broncho-constriction and dilation, impacting respiratory function and offering potential therapeutic targets for respiratory diseases.

The paper introduces SCimilarity, a metric learning framework for querying and comparing single-cell RNA-seq data across the human body, revealing commonalities in fibrosis-associated macrophages.

The paper defines universal and specialized fibroblast subtypes across tissues and species using single-cell transcriptomics, revealing their transcriptional regulation by microenvironment.