Kyra J. E. Borgman

The paper describes an optimized spatial transcriptomics workflow for Xenopus embryos, enabling high-resolution gene expression mapping across developmental stages.

This paper introduces PCF-SiM, a framework for quantifying spatial organization in multiplexed imaging data, demonstrating its application in detecting tissue remodeling and spatial interactions in disease models.

This study uses single-molecule microscopy to analyze transcriptional coregulation around a contact insulation site in human breast cancer cells, revealing gene-autonomous variability and cis-specific correlations influenced by chromosome folding.