Emily E. Killingbeck

The paper introduces SM3DD, a 3D spatial transcriptomics analysis method, and finds differences in transcript distances between normal and SARS-CoV-2 patient lung tissues.

The paper integrates 12 spatial and single-cell technologies to analyze cellular interactions and signatures in three skin cancers, identifying key therapeutic targets and genetic associations.

This study uses spatial molecular imaging to analyze transcriptomic changes in human islets during the progression from obesity to type 2 diabetes, identifying novel transcriptomic profiles in alpha cells.

An automated in-situ imaging platform reads 980 RNAs and 108 proteins in FFPE tissue at subcellular resolution, with 0.0092 false calls per cell; 800,000-plus cells released publicly.

The paper characterizes the egg coat proteome of threespine stickleback fish and identifies evolutionary changes in ZP proteins that may contribute to reproductive isolation.