Pavel Sumazin

The paper characterizes hepatoblastoma with carcinoma features (HBCs) using multi-omics data, revealing their heterogeneous composition, worse outcomes, and origin from arrested HB cells due to WNT signaling.

The paper identifies chemoresistant cell populations in pediatric AML that improve risk prediction and reveal therapeutic targets for high-risk patients.

The paper identifies lncRNAs that coordinately regulate both transcription and post-transcriptional processing of their targets, showing tight coupling between lncRNA and target abundance, with implications for cancer gene regulation.

The paper evaluates deconvolution methods for bulk RNA-Seq using scnRNA-Seq data, identifies biases, and introduces SQUID, a method that outperforms others in predicting cell mixtures and identifying cancer subclones.

The paper presents a comprehensive human transcriptome atlas with single-nucleotide resolution, identifying thousands of novel RNA species and regulatory interactions.

The paper identifies a GAU motif recognized by LIN28's CSD domain, which enhances let-7 microRNA suppression in Class I precursors, contributing to development and cancer.