Tyler S. Brant

This study identifies how caveolin-1's hydrophobic residue patterning drives membrane bending through structural and computational analyses.

This study shows that paralogs H-NS and StpA form distinct condensates with different phase behaviors, enabling bacteria to adjust condensate stability for stress response.

The paper develops a rapid in situ cryo-ET workflow for bacterial ribosome structure analysis, achieving sub-nm resolution in E. coli within 10 days.

This study identifies a p62-TIF-IA axis that drives nucleolar fusion and the senescence-associated secretory phenotype (SASP) through ATM-mediated disruption of autophagic degradation.

This study uses machine learning to improve PCR success rates, achieving 81% prediction accuracy and identifying 15 under-optimized features.