Jeremy Worley

The paper identifies treatment-resistant Cancer Stem-Like Cells in breast cancer using single-cell RNA sequencing and validates a drug combination to target them effectively.

This study introduces riboPLATE-seq, a method for generating paired libraries of ribosome-associated and total mRNA, and demonstrates its use in detecting translational changes caused by kinase inhibitors.

The paper uses CRISPRi and single-cell RNA-seq to reverse engineer gene regulatory networks in colorectal cancer cells, revealing autoregulatory and cooperative mechanisms.

The paper introduces PISCES, a platform that improves single-cell analysis by estimating protein activity's role in cell state, validated with experimental assays and applied to human tissue data.