Single-cell RNA sequencing and machine learning provide candidate drugs against drug-tolerant persister cells in colorectal cancer

Abstract excerpt

Drug resistance often stems from drug-tolerant persister (DTP) cells in cancer. These cells arise from various lineages and exhibit complex dynamics. However, effectively targeting DTP cells remains challenging. We used single-cell RNA sequencing (scRNA-Seq) data and machine learning (ML) models to identify DTP cells in patient-derived organoids (PDOs) and computationally screened candidate drugs targeting these...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Cancer Cells and Metastasis
• Share to Cancer Genomics and Diagnostics
• Share to Single-cell and spatial transcriptomics