Arianna L. Williams-Katek

This study uses spatial transcriptomics to analyze gene expression in heart transplant recipients during rejection, identifying distinct transcriptomic profiles associated with different rejection types and outcomes.

The paper combines two spatial transcriptomic chemistries to improve both sensitivity and coverage in a single tissue section, showing high concordance and enabling more comprehensive analysis.

This paper creates a spatial transcriptomic atlas of acute neonatal lung injury across development and disease severity using 1.2 million cells from 17 human infant lungs.

Xenium profiling of 343 genes in 1,126,820 nuclei from 19 human lungs maps fibrosis niches and orders alveolar remodeling from alveolar-capillary disruption to SPP1+ macrophage accumulation.