J. E. Gudjonsson

Epidermal ZBP1 stabilizes mitochondrial Z-DNA to drive UV-induced IFN signaling in autoimmune photosensitivity

The paper identifies ZBP1 and mitochondrial Z-DNA as drivers of autoimmune photosensitivity through cGAS-STING activation in response to UVB.

Morphological Reprogramming of Primary Cilia Length Mitigates the Fibrotic Phenotype in fibroblasts across diverse fibrotic conditions

The paper shows that altering primary cilia length in fibroblasts can reduce fibrotic responses across different fibrotic conditions.

Targeting SERCA2 in organotypic epidermis reveals MEK inhibition as a therapeutic strategy for Darier disease.

This study uses human organotypic epidermis to show that SERCA2 deficiency disrupts keratinocyte adhesion via ERK signaling, and identifies MEK inhibition as a potential therapy for Darier disease.

Single cell transcriptomics reveals distinct effector profiles of infiltrating T cells in lupus skin and kidney

This study uses single-cell RNA sequencing to analyze T and NK cells in cutaneous lupus skin and kidney, revealing distinct effector profiles and activation states across tissues.

Non-lesional and Lesional Lupus Skin Share Inflammatory Phenotypes that Drive Activation of CD16+ Dendritic Cells

The paper compares non-lesional and lesional lupus skin to show they share inflammatory features that activate CD16+ dendritic cells.

Single Cell and Spatial Transcriptomics Defines the Cellular Architecture of the Antimicrobial Response Network in Human Leprosy Granulomas

The paper uses single cell and spatial transcriptomics to map the cellular architecture of antimicrobial responses in leprosy granulomas, identifying gene expression differences and spatial organization in reversal reactions.

Th17-skewed inflammation due to genetic deficiency of a cadherin stress sensor

This study investigates the systemic inflammatory response in Dsg1-deficient mice and humans, revealing a psoriatic-like IL-17-skewed inflammation due to genetic Dsg1 loss.

Integration of phenomics and transcriptomics data to reveal drivers of inflammatory processes in the skin

The paper integrates phenomics and transcriptomics data from skin samples to identify gene signatures driving inflammatory processes, revealing new factors like CEBPB and PTTG2.

Highly Efficient, Massively-Parallel Single-Cell RNA-Seq Reveals Cellular States and Molecular Features of Human Skin Pathology

The paper introduces an improved scRNA-Seq protocol, Seq-Well S^3, which enhances transcript capture and gene detection efficiency, and applies it to study inflammatory skin diseases.