Shahbaz Khan

This paper uses N-glycoproteomics to analyze patient-derived xenografts, identifies FAT2 as a therapeutic target for head and neck cancers, and validates its role in tumor growth and CAR T cell activity.

This study identifies stress granules as critical for AML stem cell survival and stress adaptation, revealing their role in gene regulation and potential as therapeutic targets.

This paper introduces flowtigs, a characterization of safe walks for flow decompositions in general graphs, and demonstrates their application to improve metagenomic assembly contiguity.

DROPPS enables high-fidelity proteomic profiling of rare cell populations with low input, revealing CD36 as a marker of progenitor capacity in mammary basal cells.

The paper introduces Matchtigs, a method to compress kmer sets with a polynomial algorithm and greedy heuristic, achieving significant size reduction and performance improvements in downstream applications.