Erin McCaffrey

The paper introduces a method to predict longitudinal outcomes from single-timepoint data using a virtual library of granulomas, applied to tuberculosis in non-human primates.

This study compares IFNγ-induced iNOS activity in human and murine tuberculosis models, finding minimal iNOS expression in human myeloid cells and identifying epithelial cells as primary iNOS sources.

This study shows that D-1MT treatment enhances CD8+ T cell infiltration and interactions with macrophages in TB granulomas, improving immune control of Mtb.

This study identifies alternatively activated myeloid cells as drivers of extracellular fungal persistence in pulmonary granulomas through T helper 2 cell signaling.

This study analyzes multi-omic data from gliomas to identify therapeutic escape mechanisms and TME evolution, finding that N-glycosylation classifies tumor grade and immune transcriptome predicts GBM survival.

The paper investigates how granulysin from immune cells induces dormancy in Mycobacterium tuberculosis, revealing an immune escape mechanism.

This study identifies hypoxia as a key driver of immune dysfunction in TB granulomas, correlating with bacterial persistence.

The paper uses spatial imaging and computational analysis to identify features in metastatic tumors that predict response to immune checkpoint inhibition in TNBC patients.

This study identifies IFNγ-expressing myeloid cells in lipoproteinosis regions of sJIA-daPAP patients, suggesting their role in immune pathology.

SPACE identifies complex spatial patterns in high-plex spatial data by analyzing ensembles of tissue elements across multiple datasets.

The paper introduces Pixie, a pipeline for robust pixel-level clustering in multiplexed imaging data to improve phenotyping and annotation across biological contexts.

This study uses spatial proteomics to analyze human brain tissues and identifies proteopathies and cell interactions in Alzheimer's disease.