Catherine J. Potenski

This paper introduces D&D-seq, a single-cell method to map DNA:Protein interactions with high specificity and resolution, and applies it to study TF binding in human cells.

The paper develops scG2P to jointly capture DNA mutations and mRNA transcripts in single cells, revealing clonal architectures and phenotypes in aged esophageal tissue.

This paper develops SMART-PTA for single-cell whole-genome and transcriptome sequencing, revealing clonal evolution in aged human esophageal tissue over 70 years.

This paper introduces ppmSeq, a sequencing technology that improves accuracy and efficiency in detecting SNVs by sequencing both DNA strands, showing superior performance in clinical applications like ctDNA detection.

This paper introduces MRD-EDGE, a machine learning platform for ultrasensitive ctDNA detection in plasma WGS, showing improved sensitivity and broader applicability for MRD monitoring.

This study uses single-cell multi-omics to map genotype-to-phenotype relationships in VEXAS syndrome, identifying PERK pathway activation as a therapeutic target.

This study identifies spatial localization as a key determinant of macrophage heterogeneity and self-renewal in breast cancer, with implications for therapeutic strategies.