Margaret L. Hoang

This paper traces colorectal cancer progression by integrating spatial transcriptomics, single-nucleus RNA-sequencing, and histopathology to map cellular and molecular changes across tumor stages.

This paper introduces a high-plex spatial molecular imaging technique capable of sub-cellular transcriptome analysis of FFPE tissues, achieving whole transcriptome coverage with high resolution and minimal dissociation bias.

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.

Multiplexed in situ hybridization pools against every protein-coding gene let Digital Spatial Profiling read whole transcriptomes from regions of ~10-500 cells in human and mouse tissue.