Laura L. Elnitski

The paper identifies super-silencers in B cells, showing their role in development and their conversion to super-enhancers in lymphoma, with implications for carcinogenesis.

This paper identifies DNA methylation biomarker panels for multi-cancer detection and tissue-of-origin classification using blood samples, achieving high sensitivity and low false positive rates.

The paper identifies RNA-binding proteins involved in suppressing latent splice site activation, with ALYREF interacting with U5 snRNA to regulate splicing accuracy.

The paper quantifies gene and isoform expression changes in metastatic melanoma compared to primary tumors, identifies distinct expression patterns linked to mutational subtypes, and highlights potential therapeutic targets.

This study identifies nucleolin as a novel regulator of splice site selection by directly interacting with initiator-tRNA, preventing latent splicing that would generate defective mRNAs.

This paper develops EpiClass, a methylation density-based classifier that improves the performance of blood-based DNA methylation biomarkers in detecting ovarian cancer by leveraging locus-specific epigenetic heterogeneity.