Cynthia A. Loomis

This study identifies DeSI1 as a cyclin D-CDK4/6 substrate whose phosphorylation regulates membrane and mitochondrial protein supply during proliferation.

This study shows that loss of PKP2 in cardiomyocytes induces pro-inflammatory senescence in non-myocytes and premature cardiac aging, linking desmosomal arrhythmogenic cardiomyopathy to cellular senescence and aging mechanisms.

This study shows that IFNγ-driven inflammation in the nasal mucosa increases influenza virus shedding and transmission, linking infectiousness to host immune responses rather than viral replication alone.

This study shows that inhibiting DNA polymerase epsilon in TNBC triggers an NF-κB-driven inflammatory response and tumor clearance in mice.

This study identifies genotype-specific immune and metabolic vulnerabilities in lung adenocarcinoma through cross-species analysis of human and mouse tumors.

This paper introduces a segmentation-free method for analyzing multispectral whole slide images to study tissue repair and regeneration, revealing tissue compartments and dynamics without prior labels.

This study shows that pathogenic Ruminococcus gnavus strains in the gut drive platelet activation and thromboinflammation in lupus nephritis, with antibodies against its lipoglycan as a potential biomarker.

This study shows that lumican and biglycan, ECM proteoglycans, protect against allergic contact dermatitis by limiting proinflammatory CD4+ T cells through paracrine regulation.

This paper analyzes melanoma in people living with HIV, finding impaired antitumor immunity, delayed ICI treatment, and an immunosuppressive tumor microenvironment.

The paper introduces a segmentation-free vision transformer, CANVAS, to discover and characterize tumor microenvironment signatures from high-dimensional multiplexed images, identifying a monocytic signature linked to poor prognosis.

This study analyzes clonal heterogeneity in human pancreatic ductal adenocarcinoma using single-cell and spatial transcriptomics, revealing transcriptional continua, clonal transitions, and spatially dispersed clones associated with metastasis.

MetFinder uses a deep neural network to automate metastasis burden quantification in histological sections from mouse models, improving throughput and resolution compared to current methods.