Samra Turajlic

This study identifies distinct molecular programs in PBRM1- and BAP1-driven ccRCC, explaining their different evolutionary trajectories and clinical outcomes.

This study shows that cooperative and antagonistic interactions between sub-clones in melanoma allow multiple resistance mechanisms to coexist, and identifies GSK-J4 as a potential therapeutic target.

The paper introduces CRISPR-Taiji to engineer chromosome-specific aneuploidy and characterizes its transcriptomic effects, linking aneuploidy to ccRCC phenotypes.

This study uses Saturation Genome Editing to functionally assess VHL variants, identifying pathogenic alleles and their mechanisms in cancer.

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 applies low-cost whole genome sequencing to detect circulating tumor DNA at high sensitivity in plasma samples, achieving error rates as low as 10^-7 and enabling cancer monitoring without matched tumor sequencing.

This paper introduces CONETT, a method to identify conserved tumor evolution trajectories across multiple cancers, finding both previously reported and novel trajectories in renal and lung cancer datasets.