M. D. Leiserson

scRNA-seq analysis of colon and esophageal tumors uncovers abundant microbial reads in myeloid cells undergoing proinflammatory transcriptional alterations

The paper develops a computational pipeline to identify microbial reads in scRNA-seq data and finds that microbial reads are enriched in myeloid cells with proinflammatory transcriptional changes.

Integrated computational and experimental identification of p53, KRAS and VHL mutant selection associated with CRISPR-Cas9 editing

The paper identifies p53, KRAS, and VHL mutations as being selected during CRISPR-Cas9 editing through computational and experimental analysis.

A Multifactorial Model of T Cell Expansion and Durable Clinical Benefit in Response to a PD-L1 Inhibitor

This paper develops a multifactorial model to predict T cell expansion and clinical benefit from PD-L1 inhibitors using clinical, tumor, and circulating features, showing improved accuracy over single biomarkers.