Nathan A. Bracey

The paper shows that simulated microgravity causes aging-like transcriptional changes in human organoids, with effects varying by tissue type.

This study integrates multi-omics data to identify c-Jun as a key driver of tubular injury and fibrosis in diabetic nephropathy.

This study identifies age-related defects in CXCL13+ T follicular helper cells in human tonsil organoids, linking them to reduced antibody responses.

This study uses simulated microgravity to model biological aging in humans, finding similar transcriptional changes to natural aging across multiple systems and aging hallmarks.

The paper shows that fetal thymic expression of tumor-associated antigens (TAAs) predicts their immunogenicity and guides rational antigen selection for immunotherapy.

This work introduces SCGP, a method for unsupervised identification of tissue structures from spatial omics data, and demonstrates its application to spatial transcriptomics and proteomics datasets.