Michael A. Liss

This study uses spatial transcriptomics to show that bladder carcinoma in situ has spatially structured cellular and metabolic heterogeneity within a single patient.

This paper evaluates circulating microbial DNA as a cancer biomarker, finding that observed patterns are largely artifacts of sequencing and analysis methods rather than biological signals.

The paper identifies missplicing as a common issue in heterologous gene expression and develops a splice-aware optimization algorithm to improve transgene performance.

The paper shows splicing enhances expression of AT-rich genes by increasing mRNA stability and cytoplasmic localization, while GC-rich genes are less affected by splicing.